<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Mhealth Uhealth</journal-id><journal-id journal-id-type="publisher-id">mhealth</journal-id><journal-id journal-id-type="index">13</journal-id><journal-title>JMIR mHealth and uHealth</journal-title><abbrev-journal-title>JMIR Mhealth Uhealth</abbrev-journal-title><issn pub-type="epub">2291-5222</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v13i1e68242</article-id><article-id pub-id-type="doi">10.2196/68242</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Innovating Care for Postmenopausal Women Using a Digital Approach for Pelvic Floor Dysfunctions: Prospective Longitudinal Cohort Study</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Pereira</surname><given-names>Ana P</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Janela</surname><given-names>Dora</given-names></name><degrees>PT</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Areias</surname><given-names>Anabela C</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Molinos</surname><given-names>Maria</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Tong</surname><given-names>Xin</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Bento</surname><given-names>Virg&#x00ED;lio</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Yanamadala</surname><given-names>Vijay</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Atherton</surname><given-names>Jennesa</given-names></name><degrees>PT, DPT</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Dias Correia</surname><given-names>Fernando</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Costa</surname><given-names>Fab&#x00ED;ola</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib></contrib-group><aff id="aff1"><institution>Sword Health, Inc</institution><addr-line>Draper</addr-line><addr-line>UT</addr-line><country>United States</country></aff><aff id="aff2"><institution>Department of Psychology, University of Virginia</institution><addr-line>Charlottesville</addr-line><addr-line>VA</addr-line><country>United States</country></aff><aff id="aff3"><institution>Department of Surgery, Frank H Netter School of Medicine, Quinnipiac University</institution><addr-line>Hamden</addr-line><addr-line>CT</addr-line><country>United States</country></aff><aff id="aff4"><institution>Department of Neurosurgery, Hartford Healthcare Medical Group</institution><addr-line>Westport</addr-line><addr-line>CT</addr-line><country>United States</country></aff><aff id="aff5"><institution>Neurology Department, Centro Hospitalar e Universit&#x00E1;rio do Porto</institution><addr-line>Porto</addr-line><country>Portugal</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Buis</surname><given-names>Lorraine</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Prevett</surname><given-names>Christina</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Dufour</surname><given-names>Sinead</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Fab&#x00ED;ola Costa, PhD, Sword Health, Inc, 13937 Sprague Lane, Suite 100, Draper, UT, 84020, United States, 1 3853088034, 1 8012063433; <email>f.costa@swordhealth.com</email></corresp></author-notes><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>2</day><month>4</month><year>2025</year></pub-date><volume>13</volume><elocation-id>e68242</elocation-id><history><date date-type="received"><day>31</day><month>10</month><year>2024</year></date><date date-type="rev-recd"><day>24</day><month>02</month><year>2025</year></date><date date-type="accepted"><day>04</day><month>03</month><year>2025</year></date></history><copyright-statement>&#x00A9; Ana P Pereira, Dora Janela, Anabela C Areias, Maria Molinos, Xin Tong, Virg&#x00ED;lio Bento, Vijay Yanamadala, Jennesa Atherton, Fernando Dias Correia, Fab&#x00ED;ola Costa. Originally published in JMIR mHealth and uHealth (<ext-link ext-link-type="uri" xlink:href="https://mhealth.jmir.org">https://mhealth.jmir.org</ext-link>), 2.4.2025. </copyright-statement><copyright-year>2025</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://mhealth.jmir.org/">https://mhealth.jmir.org/</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://mhealth.jmir.org/2025/1/e68242"/><abstract><sec><title>Background</title><p>The menopause transition is a significant life milestone that impacts quality of life and work performance. Among menopause-related conditions, pelvic floor dysfunctions (PFDs) affect &#x223C;40%&#x2010;50% of postmenopausal women, including urinary or fecal incontinence, genito-pelvic pain, and pelvic organ prolapse. While pelvic floor muscle training (PFMT) is the primary treatment, access barriers leave many untreated, advocating for new care delivery models.</p></sec><sec><title>Objective</title><p>This study aims to assess the outcomes of a digital pelvic program, combining PFMT and education, in postmenopausal women with PFDs.</p></sec><sec sec-type="methods"><title>Methods</title><p>This prospective, longitudinal study evaluated engagement, safety, and clinical outcomes of a remote digital pelvic program among postmenopausal women (n=3051) with PFDs. Education and real-time biofeedback PFMT sessions were delivered through a mobile app. The intervention was asynchronously monitored and tailored by a physical therapist specializing in pelvic health. Clinical measures assessed pelvic floor symptoms and their impact on daily life (Pelvic Floor Impact Questionnaire&#x2013;short form 7, Urinary Impact Questionnaire&#x2013;short form 7, Colorectal-Anal Impact Questionnaire&#x2013;short form 7, and Pelvic Organ Prolapse Impact Questionnaire&#x2013;short form 7), mental health, and work productivity and activity impairment. Structural equation modeling and minimal clinically important change response rates were used for analysis.</p></sec><sec sec-type="results"><title>Results</title><p>The digital pelvic program had a high completion rate of 77.6% (2367/3051), as well as a high engagement and satisfaction level (8.6 out of 10). The safety of the intervention was supported by the low number of adverse events reported (21/3051, 0.69%). The overall impact of pelvic floor symptoms in participants&#x2019; daily lives decreased significantly (&#x2212;19.55 points, 95% CI &#x2212;22.22 to &#x2212;16.88; <italic>P&#x003C;</italic>.001; response rate of 59.5%, 95% CI 54.9%-63.9%), regardless of condition. Notably, nonwork-related activities and productivity impairment were reduced by around half at the intervention-end (&#x2212;18.09, 95% CI &#x2212;19.99 to &#x2212;16.20 and &#x2212;15.08, 95% CI &#x2212;17.52 to &#x2212;12.64, respectively; <italic>P</italic>&#x003C;.001). Mental health also improved, with 76.1% (95% CI 60.7%-84.9%; unadjusted: 97/149, 65.1%) and 54.1% (95% CI 39%-68.5%; unadjusted: 70/155, 45.2%) of participants with moderate to severe symptomatology achieving the minimal clinically important change for anxiety and depression, respectively. Recovery was generally not influenced by the higher baseline symptoms&#x2019; burden in individuals with younger age, high BMI, social deprivation, and residence in urban areas, except for pelvic health symptoms where lower BMI levels (<italic>P</italic>=.02) and higher social deprivation (<italic>P</italic>=.04) were associated with a steeper recovery.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>This study demonstrates the feasibility, safety, and positive clinical outcomes of a fully remote digital pelvic program to significantly improve PFD symptoms, mental health, and work productivity in postmenopausal women while enhancing equitable access to personalized interventions that empower women to manage their condition and improve their quality of life.</p></sec><sec><title>Trial Registration</title><p>ClinicalTrials.gov NCT05513417; <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/study/NCT05513417">https://clinicaltrials.gov/study/NCT05513417</ext-link></p></sec></abstract><kwd-group><kwd>women's health</kwd><kwd>pelvic floor muscle training</kwd><kwd>physical therapy</kwd><kwd>menopause</kwd><kwd>digital therapeutics</kwd><kwd>biofeedback</kwd><kwd>mobile phone</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>The menopause transition is a major health milestone women face, often associated with a significant psychological, behavioral, and social impact, that can deeply decrease productivity and overall quality of life [<xref ref-type="bibr" rid="ref1">1</xref>-<xref ref-type="bibr" rid="ref4">4</xref>]. Every year, about 27 million women in the United States workforce experience menopause, corresponding to approximately 20% of the workforce [<xref ref-type="bibr" rid="ref5">5</xref>]. Menopause-related symptoms, ranging from cognitive or mental to pelvic floor dysfunctions (PFDs), often emerge between the ages of 44 and 56 years (average age of 51 years in the United States) [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>], just when women are likely to move into leadership positions [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>]. Menopause has therefore been pointed as a risk factor for female talent loss [<xref ref-type="bibr" rid="ref5">5</xref>-<xref ref-type="bibr" rid="ref7">7</xref>]. Notably, 1 in 5 women have either quit or considered leaving their job due to the severity of menopause symptoms [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>]. Overall costs attributable to menopause symptoms were estimated to amount to up to US $26 billion per year in the United States alone, including US $1.8 billion stemming from indirect costs associated with impaired work productivity [<xref ref-type="bibr" rid="ref6">6</xref>].</p><p>Among menopause-related symptoms, PFDs are particularly prevalent, affecting &#x223C;40%&#x2010;50% of postmenopausal women [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>]. Due to the decline in estrogen, the pelvic floor muscles and tissues become thinner, drier, less elastic, and weaker, which can result in conditions such as urinary or fecal incontinence, genito-pelvic pain, and pelvic organ prolapse [<xref ref-type="bibr" rid="ref10">10</xref>-<xref ref-type="bibr" rid="ref14">14</xref>].</p><p>First-line interventions for PFDs encompass pelvic floor muscle training (PFMT), education, and behavioral change strategies [<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref21">21</xref>]. PFMT has proven effectiveness in the management of urinary incontinence [<xref ref-type="bibr" rid="ref22">22</xref>-<xref ref-type="bibr" rid="ref28">28</xref>], bowel symptoms [<xref ref-type="bibr" rid="ref26">26</xref>], pelvic organ prolapse [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref26">26</xref>], and genito-pelvic pain [<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>] in postmenopausal women.</p><p>Despite high symptom prevalence and their negative impact, many women do not seek care at all (up to 61%) [<xref ref-type="bibr" rid="ref31">31</xref>-<xref ref-type="bibr" rid="ref33">33</xref>]. Low treatment rates are related to multiple barriers to care, including geographical and time constraints, persistent social stigma, the perception that symptoms are a &#x201C;normal&#x201D; part of aging [<xref ref-type="bibr" rid="ref31">31</xref>-<xref ref-type="bibr" rid="ref33">33</xref>], and lack of access to trained providers [<xref ref-type="bibr" rid="ref34">34</xref>-<xref ref-type="bibr" rid="ref36">36</xref>] or awareness of available treatment options [<xref ref-type="bibr" rid="ref31">31</xref>-<xref ref-type="bibr" rid="ref33">33</xref>]. Consequently, the disease burden experienced by these women might increase. As an example, in a randomized controlled trial, postmenopausal women (n=48) who did not receive PFMT experienced a 50% increase in urinary leakage after one year, while those who performed PFMT showed significant improvement in their condition [<xref ref-type="bibr" rid="ref27">27</xref>], underscoring the need for appropriate care for this population.</p><p>Digital pelvic rehabilitation solutions have arisen as a potential alternative to improve both access and adherence to treatment. Digital interventions have already been reported to be effective against urinary incontinence [<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>], even when compared to in-person PFMT [<xref ref-type="bibr" rid="ref39">39</xref>]. Additionally, in a study including mostly postmenopausal women, a self-management mobile app for urinary incontinence has shown higher improvement in quality of life and urinary-related symptoms than an information-only intervention [<xref ref-type="bibr" rid="ref40">40</xref>]. However, further evidence is lacking on the specific needs of postmenopausal women, including those with PFDs other than urinary incontinence.</p><p>This study aims to assess the feasibility, engagement, and clinical outcomes (namely the impact of PFDs on physical, mental, and work productivity) of postmenopausal women after a fully remote digital pelvic program, combining education with PFMT using real-time biofeedback. This digital pelvic program is asynchronously managed by a physical therapist (PT), and it has previously shown significant clinical improvements in managing urinary incontinence in women [<xref ref-type="bibr" rid="ref41">41</xref>]. This study hypothesizes that participants would report improvement in all outcomes after the program. The findings collected could inform health care providers, researchers, and policy makers about the potential of remote digital pelvic programs to improve health outcomes and accessibility for postmenopausal women with PFDs.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study Design</title><p>This is a real-world, prospective single-arm observational cohort study. The recruitment period was from December 1, 2022, until July 29, 2024, and the home-based digital pelvic program was conducted between December 1, 2022, and August 8, 2024. This study was reported in accordance with STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines (Table S1 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>).</p></sec><sec id="s2-2"><title>Ethical Considerations</title><p>This research was conducted in accordance with the Declaration of Helsinki and all applicable ethical guidelines and regulations. The protocol was prospectively approved by the Advarra Institutional Review Board (Pro00064510) and registered on ClinicalTrials.gov (NCT05513417) on August 24, 2022. Electronic informed consent was obtained from all participants. Participants were informed of their right to withdraw from the study at any time without any adverse consequences. All collected data underwent a rigorous anonymization process to safeguard the privacy of the individuals involved in the research. The data collection and analysis procedures complied with established guidelines and regulations. Participants were not offered any form of compensation.</p></sec><sec id="s2-3"><title>Participants</title><p>Female beneficiaries of employers or health plans covered by the Sword Bloom program (Draper, Utah, United States) across 50 states in the United States and the District of Columbia were invited to apply. Individuals in the postmenopausal phase, defined as at least 1 year after their final menstrual period [<xref ref-type="bibr" rid="ref42">42</xref>], who reported PFDs encompassing conditions such as urinary conditions (including incontinence and voiding dysfunctions), pelvic organ prolapse, bowel conditions, and genito-pelvic pain were included in this study. This diverse array of PFDs was included considering common conditions among postmenopausal women [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref43">43</xref>], and to evaluate the feasibility and outcomes of the intervention across multiple conditions for which pelvic rehabilitation is recommended as first-line treatment [<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref44">44</xref>].</p><p>Exclusion criteria comprised: (1) inability to perform 20 minutes of light to moderate exercise; (2) active cancer or under treatment for cancer; (3) surgery, significant trauma, or other conditions where mobilization is contraindicated; (4) clinical red flags suggestive of serious underlying conditions not cleared by their attending physician; (5) signs of acute, serious neurologic compromise; (6) clinical conditions (eg, dementia) precluding compliance with autonomous home-based exercise; (7) pelvic infection or suspicion of inflammatory bowel disease; (8) contraindication for the use of an intravaginal device; and (9) allergy to silicone. These criteria were selected in order to exclude participants that require medical referral and conditions that prevent autonomous engagement with the program, guaranteeing participant&#x2019;s safety.</p><p>Participants were considered dropouts in the absence of exercise sessions for 30 consecutive days. Those who did not complete reassessment surveys but were compliant with the intervention were not excluded.</p></sec><sec id="s2-4"><title>Intervention</title><p>The intervention had an average duration of 10 weeks and consisted of biofeedback-mediated PFMT, functional exercises, and education (Table S2 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>), as previously described [<xref ref-type="bibr" rid="ref41">41</xref>]. Briefly, after enrollment, participants completed an onboarding form with demographic and clinical information and selected a PT specializing in pelvic health who oversaw and continuously tailored the treatment. During the onboarding video call, the PT conducted the initial clinical evaluation, leveraging the information provided by the participant upon enrollment. During anamnesis, PTs confirmed the absence of red flags indicating potential serious conditions requiring medical screening and assessed the participant&#x2019;s clinical presentation (including the participant&#x2019;s ability to contract the PFM and the presence of comorbid pelvic floor conditions). Additionally, PTs provided education (about PFDs, PFMT, diaphragmatic breathing training, behavioral modifications, and relevant information regarding the use and maintenance of the biofeedback device), and established the intervention goals collaboratively with the patient, based on the clinical practice guidelines [<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref44">44</xref>].</p><p>This digital pelvic program used a Food and Drug Administration&#x2013;listed medical device composed of an intravaginal sensor (shipped to each participant), a dedicated mobile app (to be downloaded to the participant&#x2019;s smartphone), and a cloud-based platform, allowing remote monitoring and care (<xref ref-type="fig" rid="figure1">Figure 1</xref>). The intravaginal sensor included a force transducer to monitor pelvic floor muscle activity (contraction and relaxation) and an accelerometer to assess pelvic floor muscle motion. The data captured by the intravaginal sensor was accessed remotely by the PT through a cloud-based portal, allowing the asynchronous assessment and monitoring of the pelvic floor muscles function in different aspects (eg, maximal strength and endurance).</p><p>Gamified exercise sessions (4 sessions per week as the default recommendation) were displayed in the app, accompanied by written instructions, with the intravaginal sensor providing real-time biofeedback based on the prescribed contraction and relaxation targets.</p><p>The educational content on pelvic health followed current clinical guidelines and research [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref44">44</xref>] and included the role of mental health and topics tailored to each specific PFD (eg, bladder retraining and toilet habits). These were selected by the attending PT and were delivered in the form of written studies and videos via the app throughout the digital pelvic program. Both exercise performance data and education content engagement were stored on a cloud-based platform, being continuously monitored by the PT to asynchronously assess progress and adjust the treatment plan.</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>Representation of the intravaginal pod and interventional mobile app screenshots, featuring an exercise session.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v13i1e68242_fig01.png"/></fig></sec><sec id="s2-5"><title>Outcomes</title><p>Outcomes included engagement, satisfaction, adverse events, and clinical outcomes, which are described in <xref ref-type="table" rid="table1">Table 1</xref>. Clinical outcomes assessment surveys were completed at baseline, session 9, session 15, and session 21 as long as participants reached that milestone.</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Study engagement, satisfaction, and clinical outcomes.</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Outcome and measure</td><td align="left" valign="bottom">Description</td></tr></thead><tbody><tr><td align="left" valign="top">Engagement metrics</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Completion rates</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Percentage of participants completing the program</p></list-item></list></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Sessions</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Number of total sessions performed</p></list-item></list></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Education</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Number of educational pieces read or watched</p></list-item></list></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Interaction</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Number of text interactions exchanged between participant and PT<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></p></list-item></list></td></tr><tr><td align="left" valign="top">Program satisfaction</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Satisfaction</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Through the question &#x201C;On a scale from 0 to 10, how likely are you to recommend Bloom&#x2019;s programs to a friend or family member?&#x201D;; range: 0&#x2010;10 (higher scores indicate higher satisfaction)</p></list-item></list></td></tr><tr><td align="left" valign="top">Safety</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Adverse events rate</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Self-reported adverse events</p></list-item></list></td></tr><tr><td align="left" valign="top">Clinical outcomes</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Pelvic floor symptoms<named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content></td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Pelvic Floor Impact Questionnaire&#x2013;short form 7 [<xref ref-type="bibr" rid="ref45">45</xref>]; range: 0&#x2010;300 (higher scores indicate greater impact). MCIC<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup> threshold: 12% [<xref ref-type="bibr" rid="ref45">45</xref>]</p></list-item><list-item><p>Urinary Impact Questionnaire&#x2013;short form 7 [<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref46">46</xref>]; range: 0&#x2010;100 (higher scores indicate greater impact)</p></list-item><list-item><p>Colorectal-Anal Impact Questionnaire&#x2013;short form 7 [<xref ref-type="bibr" rid="ref45">45</xref>]; range: 0&#x2010;100 (higher scores indicate greater impact)</p></list-item><list-item><p>Pelvic Organ Prolapse Impact Questionnaire&#x2013;short form 7 [<xref ref-type="bibr" rid="ref45">45</xref>]; range: 0&#x2010;100 (higher scores indicate greater impact)</p></list-item><list-item><p>Through the question &#x201C;In the past 7 days, how would you rate the severity of your pelvic health symptoms?&#x201D;; range: 0&#x2010;10 (higher scores indicate greater severity)</p></list-item></list></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Mental health</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Depression through Patient Health 9-item Questionnaire [<xref ref-type="bibr" rid="ref47">47</xref>]; range: 0&#x2010;27 (higher scores indicate greater symptoms). MCIC: &#x2265;5 [<xref ref-type="bibr" rid="ref48">48</xref>]</p></list-item><list-item><p>Anxiety through Generalized Anxiety Disorder 7-item scale [<xref ref-type="bibr" rid="ref49">49</xref>]; range: 0&#x2010;21 (higher scores indicate greater symptoms). MCIC: &#x2265;3.8 [<xref ref-type="bibr" rid="ref50">50</xref>]</p></list-item></list></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>WPAI<sup><xref ref-type="table-fn" rid="table1fn3">c</xref></sup></td><td align="left" valign="top"><list list-type="bullet"><list-item><p>WPAI questionnaire&#x2013;General Health v2.0 [<xref ref-type="bibr" rid="ref51">51</xref>]; range: 0%&#x2010;100% (higher scores indicate greater impairment)</p></list-item></list></td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>PT: physical therapist.</p></fn><fn id="table1fn2"><p><sup>b</sup>MCIC: minimal clinically important change.</p></fn><fn id="table1fn3"><p><sup>c</sup>WPAI: work productivity and activity impairment.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s2-6"><title>Safety and Adverse Events</title><p>Participants were asked to report any adverse events to their assigned PT. An adverse event was defined as any undesirable experience associated with the use of a medical product by a participant [<xref ref-type="bibr" rid="ref52">52</xref>]. An adverse event was considered serious if it was life-threatening, required hospitalization, or led to disability, permanent damage, congenital anomaly, or birth defect. Reported events were classified as related, not related, or of unknown relationship to the intervention. Regular and on-demand contact between participants and PTs was maintained via a secure in-app chat for support, feedback, motivation, and safety assurance. Additionally, symptoms and fatigue levels (rated on a 0&#x2010;10 scale) were also self-reported after each exercise session and remotely monitored by the PT.</p></sec><sec id="s2-7"><title>Statistical Analysis</title><p>A latent growth curve analysis (LGCA) was used to model clinical outcome trajectories across sessions following an intention-to-treat approach. LGCA is a type of structural equation model that calculates overall change based on individual trajectories, considering time as continuous [<xref ref-type="bibr" rid="ref53">53</xref>]. Advantages of this methodology include the provision of model fit measures, and the handling of missing data through full information maximum likelihood, which outperforms listwise deletion and other imputation models [<xref ref-type="bibr" rid="ref54">54</xref>,<xref ref-type="bibr" rid="ref55">55</xref>]. A robust sandwich estimator was used for standard errors. A conditional LGCA was conducted to assess the influence of covariates&#x2014;age, BMI, hormone replacement therapy (yes or no), social deprivation index [<xref ref-type="bibr" rid="ref56">56</xref>], and rurality (rural or urban)&#x2014;on intercept, slope, and curve, fitted as random effects.</p><p>Latent-basis growth analysis (LBGA), following an intention-to-treat approach, was conducted for Work Productivity and Activity Impairment Questionnaire (WPAI) and Pelvic Health Symptoms outcomes, as LGCA did not result in a satisfactory model fit. LBGA provided a better model fit as it accounts for variations in the pace and timing of change across individuals [<xref ref-type="bibr" rid="ref57">57</xref>]. These analyses considered those with baseline scores of &#x003E;0. A conditional LBGA was also performed with the same mentioned covariates.</p><p>Response rates for Pelvic Floor Impact Questionnaire&#x2013;short form-7 (PFIQ-7), Patient Health 9-item Questionnaire (PHQ-9), and Generalized Anxiety Disorder 7-item (GAD-7) were calculated for participants who completed the program and reported baseline clinically relevant scores (ie, PHQ-9 &#x2265;10 and GAD-7 &#x2265;10, respectively), using the respective minimal clinically important change (MCIC) thresholds (<xref ref-type="table" rid="table1">Table 1</xref>). These response rates were adjusted for the aforementioned covariates.</p><p>Statistical analyses were performed using R Studio (version 2023.09.1+494; Posit, PBC). Statistical significance was defined as <italic>P&#x003C;</italic>.05 considering a 2-sided hypothesis test.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Overview</title><p>Of the 3684 participants screened for eligibility, 633 participants were excluded (346 declined participation and 287 did not meet eligibility criteria; <xref ref-type="fig" rid="figure2">Figure 2</xref>). The program started with 3051 participants, of which 2367 participants completed it, translating into a completion rate of 77.6%.</p><fig position="float" id="figure2"><label>Figure 2.</label><caption><p>Study flowchart.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v13i1e68242_fig02.png"/></fig></sec><sec id="s3-2"><title>Baseline Characteristics</title><p>Overall, the cohort was on average 54.3 (SD 6.5) years old, with an average BMI of 29.4 (SD 6.8) kg/m<sup>2</sup>, having a high proportion of participants with obesity (1197/3051, 39.2%), of those with higher education levels (1826/3051, 59.9%) and full-time employed (2332/3051, 76.4%). Regarding races or ethnicities, 18.5% (563/3051) were from minority groups (<xref ref-type="table" rid="table2">Table 2</xref>). Of those who reported parity, 87.1% (1763/2025) were parous or multiparous (<xref ref-type="table" rid="table2">Table 2</xref>). Urinary conditions were the most common PFD (2174/3051, 71.3%), followed by genito-pelvic pain (597/3051, 19.6%; <xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Baseline characteristics of study participants: entire cohort (n=3051).</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristic</td><td align="left" valign="bottom">Entire cohort (n=3051)</td></tr></thead><tbody><tr><td align="left" valign="top">Age (years), mean (SD)</td><td align="left" valign="top">54.3 (6.5)</td></tr><tr><td align="left" valign="top">Age categories (years), n (%)</td><td align="left" valign="top"/></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>35&#x2010;40</td><td align="left" valign="top">45 (1.5)</td></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>41&#x2010;54</td><td align="left" valign="top">1595 (52.3)</td></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x2265;55</td><td align="left" valign="top">1411 (46.2)</td></tr><tr><td align="left" valign="top">Gender, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Women</td><td align="left" valign="top">2879 (94.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Nonbinary</td><td align="left" valign="top">12 (0.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Prefer not so to specify or not available</td><td align="left" valign="top">160 (5.2)</td></tr><tr><td align="left" valign="top">BMI (kg/m<sup>2</sup>; n=3038), mean (SD)</td><td align="left" valign="top">29.4 (6.8)</td></tr><tr><td align="left" valign="top">BMI categories (kg/m<sup>2</sup>; n=3038), n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Underweight (&#x003C;18.5)</td><td align="left" valign="top">24 (0.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Normal (18.5&#x2010;25)</td><td align="left" valign="top">879 (28.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Overweight (&#x2265;25&#x2010;30)</td><td align="left" valign="top">938 (30.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Obesity (&#x2265;30&#x2010;40)</td><td align="left" valign="top">971 (32)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Severe obesity (&#x003E;40)</td><td align="left" valign="top">226 (7.4)</td></tr><tr><td align="left" valign="top">Employment status, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Employed full-time</td><td align="left" valign="top">2332 (76.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Employed part-time</td><td align="left" valign="top">253 (8.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Unemployed</td><td align="left" valign="top">211 (6.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Retired</td><td align="left" valign="top">198 (6.5)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Prefer not to specify</td><td align="left" valign="top">57 (1.9)</td></tr><tr><td align="left" valign="top">Education level, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Less than high school</td><td align="left" valign="top">11 (0.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>High school diploma</td><td align="left" valign="top">273 (8.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Some college</td><td align="left" valign="top">903 (29.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Bachelor&#x2019;s degree</td><td align="left" valign="top">1149 (37.7)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Graduate degree</td><td align="left" valign="top">677 (22.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Prefer not to specify</td><td align="left" valign="top">38 (1.2)</td></tr><tr><td align="left" valign="top">Race or ethnicity, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>American Indian or Alaska Native</td><td align="left" valign="top">9 (0.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Asian or Pacific Islander</td><td align="left" valign="top">73 (2.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Black or African American</td><td align="left" valign="top">219 (7.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hispanic or Latino</td><td align="left" valign="top">255 (8.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Multiracial or biracial</td><td align="left" valign="top">43 (1.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Not listed</td><td align="left" valign="top">7 (0.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Prefer not to specify</td><td align="left" valign="top">47 (1.5)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>White or Caucasian</td><td align="left" valign="top">2398 (78.6)</td></tr><tr><td align="left" valign="top">Geographic location, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Rural</td><td align="left" valign="top">437 (14.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Urban</td><td align="left" valign="top">2608 (85.5)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Not available</td><td align="left" valign="top">6 (0.2)</td></tr><tr><td align="left" valign="top">Social Deprivation Index (n=3045), n (%):</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>1&#x2010;20 (less deprived)</td><td align="left" valign="top">1025 (33.6)</td></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>21&#x2010;40</td><td align="left" valign="top">728 (23.9)</td></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>41&#x2010;60</td><td align="left" valign="top">576 (18.9)</td></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>61&#x2010;80</td><td align="left" valign="top">428 (14)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>81&#x2010;100 (more deprived)</td><td align="left" valign="top">288 (9.4)</td></tr><tr><td align="left" valign="top">Pelvic floor dysfunction, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Genito-pelvic pain or penetration disorder</td><td align="left" valign="top">597 (19.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Bowel conditions</td><td align="left" valign="top">58 (1.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Pelvic organ prolapse</td><td align="left" valign="top">198 (6.5)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Urinary conditions</td><td align="left" valign="top">2174 (71.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Multiple conditions</td><td align="left" valign="top">24 (0.8)</td></tr><tr><td align="left" valign="top">Parity, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Nulliparous</td><td align="left" valign="top">262 (8.5)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Parous or multiparous</td><td align="left" valign="top">1763 (57.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Not available</td><td align="left" valign="top">1026 (33.6)</td></tr><tr><td align="left" valign="top">Self-reported use of hormone replacement therapy (n=260), n (%)</td><td align="left" valign="top">260 (8.5)</td></tr><tr><td align="left" valign="top">Clinical outcomes, mean (SD)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>PFIQ-7<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup></td><td align="left" valign="top">49.5 (51.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>UIQ-7<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup> (n=3043)</td><td align="left" valign="top">24.7 (22.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>CRAIQ-7<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup> (n=2887)</td><td align="left" valign="top">11.3 (19.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>POPIQ-7<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup> (n=2981)</td><td align="left" valign="top">14.5 (20.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Pelvic Health Symptoms &#x003E;0 (n=2855)</td><td align="left" valign="top">4.81 (2.01)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>GAD-7<sup><xref ref-type="table-fn" rid="table2fn5">e</xref></sup></td><td align="left" valign="top">3.59 (4.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>GAD-7 &#x2265;10 (n=289)</td><td align="left" valign="top">13.8 (3.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>PHQ-9<sup><xref ref-type="table-fn" rid="table2fn6">f</xref></sup></td><td align="left" valign="top">2.64 (4.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>PHQ &#x2265;10 (n=297)</td><td align="left" valign="top">13.8 (3.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>WPAI<sup><xref ref-type="table-fn" rid="table2fn7">g</xref></sup> Overall &#x003E;0 (n=1048)</td><td align="left" valign="top">31.2 (22.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>WPAI Work &#x003E;0 (n=990)</td><td align="left" valign="top">28.1 (19.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>WPAI Activities &#x003E;0 (n=1571)</td><td align="left" valign="top">33.2 (22.3)</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup> PFIQ-7: Pelvic Floor Impact Questionnaire&#x2013;short form 7.</p></fn><fn id="table2fn2"><p><sup>b</sup>UIQ-7: Urinary Impact Questionnaire&#x2013;short form 7.</p></fn><fn id="table2fn3"><p><sup>c</sup>CRAIQ-7: Colo-Rectal-Anal Impact Questionnaire&#x2013;short form 7.</p></fn><fn id="table2fn4"><p><sup>d</sup>POPIQ-7: Pelvic Organ Prolapse Impact Questionnaire&#x2013;short form 7.</p></fn><fn id="table2fn5"><p><sup>e</sup>GAD-7: Generalized Anxiety Disorder 7-item scale.</p></fn><fn id="table2fn6"><p><sup>f</sup>PHQ-9: Patient Health 9-item Questionnaire.</p></fn><fn id="table2fn7"><p><sup>g</sup>WPAI: Work Productivity and Activity Impairment Questionnaire.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-3"><title>Engagement Outcomes</title><p>Treatment duration lasted 9.9 (SD 8.98) weeks on average, with participants completing a mean of 19.1 (SD 16.2) PFMT biofeedback-assisted sessions. Participants also demonstrated high engagement with the educational component, consulting on average 14.1 (SD 18.4) educational materials. Communication between participants and PTs was frequent throughout the program, amounting to a mean of 22.1 (SD 9.9) text interactions. Satisfaction with the program was 8.6 (SD 2.0) out of 10.</p></sec><sec id="s3-4"><title>Safety</title><p>Throughout the intervention, a total of 21 (out of 3051, 0.69%) adverse events were reported. Of these, 1 vaginal abrasion was reported, 1 case of vaginal bleeding that was determined to be unrelated to the intervention, and 19 cases of yeast infection or urinary tract infections were reported with unknown relation to the intervention. No serious adverse events were reported.</p></sec><sec id="s3-5"><title>Clinical Outcomes</title><p>Model estimates derived from longitudinal analyses are presented in <xref ref-type="table" rid="table3">Table 3</xref>, showing a good model fit (Table S3 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Estimates from the conditional models are described in Table S4 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref> and the respective model fit in Table S5 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>.</p><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Model estimates of clinical outcome measures following an unconditional intent-to-treat approach.</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" colspan="2">Outcome</td><td align="left" valign="bottom">Baseline, mean (95% CI)</td><td align="left" valign="bottom">Program-end, mean (95% CI)</td><td align="left" valign="bottom">Change, mean (95% CI)</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top" colspan="2">PFIQ-7<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup> (n=3051)</td><td align="left" valign="top">49.59 (47.75 to 51.43)</td><td align="left" valign="top">30.04 (27.45 to 32.63)</td><td align="left" valign="top">&#x2212;19.55 (&#x2212;22.22 to &#x2212;16.88)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top" colspan="2">UIQ-7<sup><xref ref-type="table-fn" rid="table3fn2">b</xref></sup> (n=3043)</td><td align="left" valign="top">24.70 (23.90 to 25.51)</td><td align="left" valign="top">14.35 (13.33 to 15.36)</td><td align="left" valign="top">&#x2212;10.36 (&#x2212;11.41 to &#x2212;9.30)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top" colspan="2">CRAIQ-7<sup><xref ref-type="table-fn" rid="table3fn3">c</xref></sup> (n=2887)</td><td align="left" valign="top">11.33 (10.60 to 12.05)</td><td align="left" valign="top">7.57 (6.54 to 8.59)</td><td align="left" valign="top">&#x2212;3.76 (&#x2212;4.83 to &#x2212;2.69)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top" colspan="2">POPIQ-7<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup> (n=2981)</td><td align="left" valign="top">14.58 (13.85 to 15.32)</td><td align="left" valign="top">8.96 (7.92 to 10.00)</td><td align="left" valign="top">&#x2212;5.62 (&#x2212;6.73 to &#x2212;4.51)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top" colspan="2">Pelvic Health Symptoms &#x003E;0 (n=2855)</td><td align="left" valign="top">4.81 (4.74 to 4.88)</td><td align="left" valign="top">2.84 (2.70 to 2.98)</td><td align="left" valign="top">&#x2212;1.97 (&#x2212;2.12 to &#x2212;1.83)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top" colspan="2">WPAI<sup><xref ref-type="table-fn" rid="table3fn5">e</xref></sup> Overall &#x003E;0 (n=1048)</td><td align="left" valign="top">31.21 (29.84 to 32.58)</td><td align="left" valign="top">16.13 (13.78 to 18.48)</td><td align="left" valign="top">&#x2212;15.08 (&#x2212;17.52 to &#x2212;12.64)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top" colspan="2">WPAI Work &#x003E;0 (n=990)</td><td align="left" valign="top">28.13 (26.93 to 29.33)</td><td align="left" valign="top">13.73 (11.69 to 15.78)</td><td align="left" valign="top">&#x2212;14.40 (&#x2212;16.57 to &#x2212;12.22)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top" colspan="2">WPAI Activities &#x003E;0 (n=1571)</td><td align="left" valign="top">33.14 (32.04 to 34.24)</td><td align="left" valign="top">15.05 (13.23 to 16.86)</td><td align="left" valign="top">&#x2212;18.09 (&#x2212;19.99 to &#x2212;16.20)</td><td align="left" valign="top">&#x003C;.001</td></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>PFIQ-7: Pelvic Floor Impact Questionnaire&#x2013;short form 7.</p></fn><fn id="table3fn2"><p><sup>b</sup>UIQ-7: Urinary Impact Questionnaire&#x2013;short form 7.</p></fn><fn id="table3fn3"><p><sup>c</sup>CRAIQ-7: Colo-Rectal-Anal Impact Questionnaire&#x2013;short form 7.</p></fn><fn id="table3fn4"><p><sup>d</sup>POPIQ-7: Pelvic Organ Prolapse Impact Questionnaire&#x2013;short form 7.</p></fn><fn id="table3fn5"><p><sup>e</sup>WPAI: Work Productivity and Activity Impairment Questionnaire.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-6"><title>Pelvic Floor Symptoms</title><p>The impact of pelvic floor symptoms in participants&#x2019; daily activities was significantly decreased by the program-end. Specifically, PFIQ-7 scores decreased by 19.55 points (95% CI &#x2212;22.22 to &#x2212;16.88; <italic>P&#x003C;.</italic>001; <xref ref-type="table" rid="table3">Table 3</xref>) from a baseline score of 49.59 points (95% CI 47.75-51.43; <italic>P&#x003C;</italic>.001), resulting in a treatment response rate of 59.5% (95% CI 54.9%-63.9%; unadjusted: 1125/1843, 61%).</p><p>Similarly, significant improvements were observed in bladder symptoms (Urinary Impact Questionnaire&#x2013;short form 7 [UIQ-7]), with a reduction of 10.36 (95% CI &#x2212;11.41 to &#x2212;9.30; <italic>P&#x003C;.</italic>001), as well as in bowel symptoms (Colorectal-Anal Impact Questionnaire&#x2013;short form 7 [CRAIQ-7]: &#x2212;3.76, 95% CI &#x2212;4.83 to &#x2212;2.69; <italic>P&#x003C;</italic>.001), pelvic organ prolapse symptoms (Pelvic Organ Prolapse Impact Questionnaire&#x2013;short form 7 [POPIQ-7]: &#x2212;5.62, 95% CI &#x2212;6.73 to &#x2212;4.51; <italic>P&#x003C;</italic>.001), and pelvic health symptoms (&#x2212;1.97, 95% CI &#x2212;2.12 to &#x2212;1.83).</p><p>Additionally, a change of 18.09 points (95% CI &#x2212;19.99 to &#x2212;16.20; <italic>P&#x003C;</italic>.001) was also observed in WPAI daily activities, reflecting a 54.6% (18.09/33.14) overall improvement in the cohort&#x2019;s ability to perform nonwork-related activities.</p></sec><sec id="s3-7"><title>Mental Health</title><p>At baseline, 9.5% (289/3051) of participants reported moderate-to-severe anxiety symptoms (GAD-7 &#x2265;10), whereas 9.7% (297/3051) participants reported moderate-to-severe depression symptoms (PHQ-9 &#x2265;10). Mental distress was significantly reduced at program-end among these participants, with 76.1% (95% CI 60.7%-84.9%) reaching the MCIC for anxiety and 54.1% (95% CI 39%-68.5%) reaching the MCIC for depression (unadjusted: 97/149, 65.1% for anxiety and 70/155, 45.2% for depression).</p></sec><sec id="s3-8"><title>Work Productivity</title><p>Work productivity impairment had a mean score of 31.21 (95% CI 29.84-32.58) at baseline, which decreased to nearly half at intervention-end (mean change: &#x2212;15.08, 95% CI &#x2212;17.52 to &#x2212;12.64; <italic>P&#x003C;</italic>.001), representing a 48.3% (15.08/31.21) change.</p></sec><sec id="s3-9"><title>Impact of Covariates</title><p>At baseline, higher social deprivation was associated with a greater pelvic floor symptoms severity (<italic>P&#x003C;.</italic>001) and impact on daily living (PFIQ-7; <italic>P&#x003C;.</italic>001), including both bladder (UIQ-7; <italic>P&#x003C;.</italic>001), bowel (CRAIQ-7; <italic>P=.</italic>001), and pelvic organ prolapse (POPIQ-7; <italic>P=.</italic>004 and <italic>P=.</italic>009, respectively; Table S4 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Additionally, participants with older age and higher BMI also reported more severe pelvic floor symptoms (<italic>P&#x003C;.</italic>001) and higher symptoms impact on daily living (PFIQ-7, UIQ-7, CRAIQ-7, and POPIQ-7; all <italic>P=.</italic>001; Table S4 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>), respectively. Those living with higher BMI also reported a greater impairment in daily activities (WPAI activities; <italic>P</italic>=.003). A lower impairment in nonwork-related activities was observed among participants residing in rural locations (<italic>P=.</italic>045). Younger age was related to both greater impact of pelvic organ prolapse symptoms on daily living (<italic>P=.</italic>003) and impairment in nonwork-related activities (<italic>P=.</italic>006) at baseline.</p><p>Covariates did not affect the recovery of any of the clinical outcomes assessed (<italic>P&#x2265;.</italic>05; Table S4 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>), except for pelvic health symptoms where lower BMI levels (<italic>P=.</italic>02) and higher social deprivation (<italic>P=.</italic>04) were associated with a steeper recovery.</p></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Results</title><p>This study provides real-world evidence to support the feasibility, safety, and positive clinical outcomes of a digital pelvic program for postmenopausal women. A high completion rate of 77.6% (2367/3051) was observed, alongside high engagement and satisfaction levels with the program (8.6/10, SD 2.0). Adverse events were low (21/3051, 0.69%), suggesting the safety of this digital pelvic program. Pelvic floor symptoms were significantly reduced at program-end (&#x2212;1.97 points, 95% CI &#x2212;2.12 to &#x2212;1.83; <italic>P&#x003C;.</italic>001), as well as their impact on daily lives (&#x2212;19.55 points, 95% CI &#x2212;22.22 to &#x2212;16.88; <italic>P&#x003C;.</italic>001), with a treatment adjusted response rate of 59.5% (95% CI 54.9%-63.9%; unadjusted: 1125/1843, 61%). Pelvic floor symptoms were reduced at intervention-end regardless of the specific condition&#x2014;bladder, bowel, pelvic organ prolapse, or genito-pelvic symptoms (all <italic>P&#x003C;.</italic>001). This also translated into a substantial reduction in impairment in carrying out nonwork-related activities (18.09/33.14, 54.6%; <italic>P&#x003C;.</italic>001). Mental health outcomes among participants with moderate-to-severe anxiety or depression symptoms were improved at program-end, with 76.1% (95% CI 60.7%-84.9%; unadjusted: 97/149, 65.1%) and 54.1% (95% CI 39%-68.5%; unadjusted: 70/155, 45.2%) of participants reaching the MCIC for anxiety and depression, respectively. Work productivity impairment was decreased by nearly half at intervention-end (15.08/31.21, 48.3%; <italic>P&#x003C;.</italic>001). Outcomes were not generally impacted by age, BMI, hormone replacement therapy, social deprivation, or rurality. This study showcases for the first time the benefit of a digital rehabilitation program, including education and biofeedback-guided PFMT, to improve physical, mental, and work productivity outcomes in postmenopausal women.</p></sec><sec id="s4-2"><title>Comparison With Prior Work</title><sec id="s4-2-1"><title>Engagement With the Program</title><p>Herein, we explore the potential of digital interventions in providing effective and scalable avenues that facilitate access to care, and importantly, stimulate compliance in postmenopausal women. In this study, a diverse cohort was evaluated, encompassing participants from various socioeconomic, rural, and racial or ethnic backgrounds, following the diversity observed in the US general population [<xref ref-type="bibr" rid="ref58">58</xref>]. The program completion rate was high (2367/3051, 77%) and was accompanied by high adherence as translated by the number of biofeedback-assisted PFMT sessions performed (mean 19.1, SD 16.2) and the educational content consulted (mean 14.1, SD 18.4), reinforcing the role of remote interventions in promoting equitable access. Prior studies using PFMT for postmenopausal women have often combined in-person sessions with home-based prescriptions for unsupervised PFMT [<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref59">59</xref>], to promote higher treatment frequency, which is not achievable through in-person settings alone. The high engagement in this digital pelvic program matches the range reported in past controlled studies [<xref ref-type="bibr" rid="ref22">22</xref>]. The observed engagement may stem from privacy, lack of stigma, and convenience of digital care, enabling women to engage with the program at their own pace and fit sessions into their daily routines [<xref ref-type="bibr" rid="ref26">26</xref>]. Furthermore, participants could openly discuss their condition with PTs specialized in pelvic health throughout the program as needed (mean text interactions 22.1, SD 9.9). This likely contributed to building a strong therapeutic alliance and fostering an empathetic, nonjudgmental environment, as reflected by the high satisfaction levels of 8.6 (SD 2.0) out of 10, similar to the reported previous in-person PFMT studies [<xref ref-type="bibr" rid="ref60">60</xref>-<xref ref-type="bibr" rid="ref62">62</xref>]. Additionally, the biofeedback feature may have also contributed to the high adherence observed. Previous studies have shown a positive impact of biofeedback on the autonomous performance of PFMT, guiding women in correctly contracting their pelvic floor muscles [<xref ref-type="bibr" rid="ref63">63</xref>], promoting PFMT self-efficacy [<xref ref-type="bibr" rid="ref64">64</xref>,<xref ref-type="bibr" rid="ref65">65</xref>], higher adherence [<xref ref-type="bibr" rid="ref66">66</xref>], and recovery likelihood (by 3 times compared to no biofeedback) [<xref ref-type="bibr" rid="ref67">67</xref>].</p></sec><sec id="s4-2-2"><title>Safety</title><p>A significant concern with any intervention is the possibility of the occurrence of side effects that could negatively impact a participant&#x2019;s health. As such, the monitoring of potential adverse events is one of the mandatory requests in health care. Herein, the number of adverse events was low and no serious adverse events occurred, consistent with current literature for in-person interventions [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref59">59</xref>], suggesting the safety of this fully remote intervention.</p></sec><sec id="s4-2-3"><title>Clinical and Productivity Outcomes</title><p>This digital pelvic program led to significant improvements in pelvic floor symptomatology, reflected by a high treatment response rate (59.5%, 95% CI 54.9%-63.9%; unadjusted: 1125/1843, 61%), which was observed regardless of the condition. The findings of this study are consistent with prior research showing the benefits of in-person PFMT in reducing pelvic floor symptoms and their impact on daily living among postmenopausal women [<xref ref-type="bibr" rid="ref22">22</xref>-<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref59">59</xref>]. Moreover, PFIQ-7 improvements were achieved regardless of the impact of age, BMI, self-reported hormone replacement therapy use, social deprivation, and rurality, which is particularly encouraging given that these factors contribute to PFD onset [<xref ref-type="bibr" rid="ref68">68</xref>] or are typically associated with poorer outcomes after PFMT [<xref ref-type="bibr" rid="ref69">69</xref>-<xref ref-type="bibr" rid="ref71">71</xref>]. According to previous reports from patients with PFDs, mental distress is frequently associated with menopause, namely through feelings of discomfort, helplessness, and mood deterioration, all of which subsequently contribute to a diminished quality of life [<xref ref-type="bibr" rid="ref72">72</xref>-<xref ref-type="bibr" rid="ref76">76</xref>]. Herein, participants with moderate-to-severe mental distress reported significant improvements, with treatment response rates reaching 76.1% (95% CI 60.7%-84.9%; unadjusted: 97/149, 65.1%) for anxiety and 54.1% (95% CI 39%-68.5%; unadjusted: 70/155, 45.2%) for depression. These results align with a previous systematic review focused on postmenopausal women who reported significant effects of exercise on mental outcomes [<xref ref-type="bibr" rid="ref77">77</xref>]. This underscores the importance of considering mental health in managing PFDs, as mental distress predicts poorer recovery following PFMT, and improvements in depression are linked to better PFD symptom outcomes [<xref ref-type="bibr" rid="ref78">78</xref>].</p><p>Adding to the positive clinical outcomes observed, productivity was also significantly improved after this fully remote digital pelvic program (15.08/31.21, 48.3%; <italic>P&#x003C;.</italic>001). The overarching impact of menopause on productivity is well-known [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref79">79</xref>], encompassing tremendous socioeconomic consequences and even loss of female talent [<xref ref-type="bibr" rid="ref5">5</xref>-<xref ref-type="bibr" rid="ref7">7</xref>]. Therefore, preliminary studies have been delving into workplace strategies to support women in dealing with menopause-related symptoms and mitigate the associated challenges [<xref ref-type="bibr" rid="ref80">80</xref>]. A self-help cognitive behavioral therapy booklet promoted improvements in work presenteeism by 15% and in work and social adjustment (32%) [<xref ref-type="bibr" rid="ref81">81</xref>]. Although measured by different patient-reported outcomes, our results exceed these findings, showcasing the potential of multimodal digital pelvic programs in helping women manage symptoms and thrive in their professional lives, especially when offered as an employee benefit. Overall, these results showcase, for the first time, the benefits of a digital pelvic program, including education and biofeedback-guided PFMT, to improve physical, mental, and work productivity outcomes, while providing equitable access to care, in postmenopausal women from all socioeconomic backgrounds.</p></sec></sec><sec id="s4-3"><title>Limitations</title><p>This study presents some limitations that warrant discussion: (1) the observational study design that lacks a control group precludes the establishment of a causal effect; (2) the lack of pelvic floor muscle function outcomes, such as strength and endurance, preventing the assessment of objective measures in this domain; and (3) the concomitant use of other medication besides hormone replacement therapy by some participants (eg, anticholinergics), or other nonpharmacological interventions (eg, pessaries), which may be a source of potential confounding. Nevertheless, the use of hormone replacement therapy was collected and used as a covariate when analyzing outcomes. Future research is needed to determine the maintenance of the observed improvements through long-term follow-ups.</p></sec><sec id="s4-4"><title>Conclusions</title><p>This study demonstrates the feasibility, safety, and positive clinical outcomes, namely on pelvic floor symptoms, mental health status, and work productivity, after a fully remote, biofeedback-assisted digital pelvic program in postmenopausal women with PFDs. These findings highlight the potential of digital care to enhance equitable access to timely, scalable, and personalized pelvic health interventions. By empowering postmenopausal women to manage their pelvic health disorders more effectively, this approach enhances their overall quality of life, while leveling the opportunities to thrive in the workplace.</p></sec></sec></body><back><ack><p>The authors acknowledge the Bloom team of physical therapists and their support to guarantee the successful delivery of care. The authors also acknowledge the contributions of Jo&#x00E3;o Tiago Silva, Margarida Morais, Daniel Rodrigues, and Guilherme Freches in data processing (all employees of Sword Health). This work was supported by Sword Health Inc. and also developed within the scope of project n&#x00BA; 62&#x2014;&#x201C;Responsible AI,&#x201D; financed by European Funds, namely the Recovery and Resilience Plan&#x2014;&#x201C;Componente 5: Agendas Mobilizadoras para a Inova&#x00E7;&#x00E3;o Empresarial,&#x201D; included in the NextGenerationEU funding program. The study sponsor, Sword Health, was involved in the study design, data collection and interpretation, and writing of the manuscript.</p></ack><notes><sec><title>Data Availability</title><p>The datasets analyzed during this study are not publicly available due to privacy restrictions but are available from the corresponding author upon reasonable request.</p></sec></notes><fn-group><fn fn-type="con"><p>JA, FDC, and FC conceptualized the study. MM and ACA curated the data, while ACA and XT conducted the formal analysis. APP, DJ, ACA, MM, JA, and FC contributed to the interpretation of the data. VB provided the necessary resources for the research. APP, DJ, ACA, and FC drafted the original manuscript, and all authors participated in reviewing and editing the final version. All authors have read and approved the published version of the manuscript.</p></fn><fn fn-type="conflict"><p>The authors declare the following competing interests: APP, DJ, ACA, MM, VB, VY, FDC, JA, and FC are employees of Sword Health, the sponsor of this study. VB, VY and FDC also hold equity in Sword Health, and VB is the CEO of the same company. XT received a scientific advisor honorarium from Sword Health.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">CRAIQ-7</term><def><p>Colo-Rectal-Anal Impact Questionnaire&#x2014;short form 7</p></def></def-item><def-item><term id="abb2">GAD-7</term><def><p>Generalized Anxiety Disorder 7-item scale</p></def></def-item><def-item><term id="abb3">LBGA</term><def><p>latent-basis growth analysis</p></def></def-item><def-item><term id="abb4">LGCA</term><def><p>latent growth curve analysis</p></def></def-item><def-item><term id="abb5">MCIC</term><def><p>minimal clinically important change</p></def></def-item><def-item><term id="abb6">PFD</term><def><p>pelvic floor dysfunction</p></def></def-item><def-item><term id="abb7">PFIQ-7</term><def><p>Pelvic Floor Impact Questionnaire&#x2014;short form 7</p></def></def-item><def-item><term id="abb8">PFMT</term><def><p>pelvic floor muscle training</p></def></def-item><def-item><term id="abb9">PHQ-9</term><def><p>Patient Health 9-item Questionnaire</p></def></def-item><def-item><term id="abb10">POPIQ-7</term><def><p>Pelvic Organ Prolapse Impact Questionnaire&#x2014;short form 7</p></def></def-item><def-item><term id="abb11">PT</term><def><p>physical therapist</p></def></def-item><def-item><term id="abb12">STROBE</term><def><p>Strengthening the Reporting of Observational Studies in Epidemiology</p></def></def-item><def-item><term id="abb13">UIQ-7</term><def><p>Urinary Impact Questionnaire&#x2014;short form 7</p></def></def-item><def-item><term id="abb14">WPAI</term><def><p>Work Productivity and Activity Impairment Questionnaire</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Santoro</surname><given-names>N</given-names> </name><name 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