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<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMU</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Mhealth Uhealth</journal-id>
      <journal-title>JMIR mHealth and uHealth</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">v9i9e24527</article-id>
      <article-id pub-id-type="pmid">34550078</article-id>
      <article-id pub-id-type="doi">10.2196/24527</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Review</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Effectiveness of Text Messaging Interventions on Blood Pressure Control Among Patients With Hypertension: Systematic Review of Randomized Controlled Trials</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Buis</surname>
            <given-names>Lorraine</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Krukowski</surname>
            <given-names>Rebecca</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Agarwal</surname>
            <given-names>Nikhil</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Tam</surname>
            <given-names>Hon Lon</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>School of Nursing</institution>
            <institution>Hong Kong Polytechnic University</institution>
            <addr-line>Hung Hom, Kowloon</addr-line>
            <addr-line>Hong Kong</addr-line>
            <country>China (Hong Kong)</country>
            <phone>852 34003804</phone>
            <email>hon-lon.tam@connect.polyu.hk</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0344-6262</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Wong</surname>
            <given-names>Eliza Mi Ling</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0698-9000</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Cheung</surname>
            <given-names>Kin</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-8419-4847</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Chung</surname>
            <given-names>Siu Fung</given-names>
          </name>
          <degrees>PhD</degrees>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6640-5893</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>School of Nursing</institution>
        <institution>Hong Kong Polytechnic University</institution>
        <addr-line>Hong Kong</addr-line>
        <country>China (Hong Kong)</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Kiang Wu Nursing College of Macau</institution>
        <addr-line>Macau</addr-line>
        <country>Macao</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>School of Nursing</institution>
        <institution>Tung Wah College</institution>
        <addr-line>Hong Kong</addr-line>
        <country>China (Hong Kong)</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Hon Lon Tam <email>hon-lon.tam@connect.polyu.hk</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <month>9</month>
        <year>2021</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>22</day>
        <month>9</month>
        <year>2021</year>
      </pub-date>
      <volume>9</volume>
      <issue>9</issue>
      <elocation-id>e24527</elocation-id>
      <history>
        <date date-type="received">
          <day>23</day>
          <month>9</month>
          <year>2020</year>
        </date>
        <date date-type="rev-request">
          <day>12</day>
          <month>11</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>4</day>
          <month>1</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>5</day>
          <month>8</month>
          <year>2021</year>
        </date>
      </history>
      <copyright-statement>©Hon Lon Tam, Eliza Mi Ling Wong, Kin Cheung, Siu Fung Chung. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 22.09.2021.</copyright-statement>
      <copyright-year>2021</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 (https://creativecommons.org/licenses/by/4.0/), 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 https://mhealth.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://mhealth.jmir.org/2021/9/e24527" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Controlling blood pressure (BP) is an international health concern, and high BP is a major contributor to cardiovascular disease mortality. Evidence has shown that educational interventions directed at patients potentially improve BP control and adherence to medications and lifestyle modifications. In addition, a text messaging intervention has a potential effect on BP control; however, the dosage of a text messaging intervention has not been determined in previous reviews, resulting in difficult application in practice.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This review aimed to identify the effectiveness of a text messaging intervention on hypertension management with a specific focus on the dosage of text messaging and the type of additional interventions with text messaging.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>A systematic review was conducted and reported on in accordance with PRISMA guideline. Participants were aged 18 years and older and diagnosed with primary hypertension. The included studies used text messaging as a component of the intervention. We searched for randomized controlled trials published until June 30, 2020, from the following health-related electronic databases: Embase, Medline, CINAHL Complete, PsycINFO, and Scopus. Data were extracted for qualitative synthesis and meta-analysis. The Physiotherapy Evidence Database Scale was used to assess the methodological quality of each study, and the quality of the included studies was assessed independently by two authors.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Twelve studies met the inclusion criteria. The overall methodological quality was fair (mean score 5.75). The frequency of text message delivery varied from daily to biweekly. Health education was identified in 4 studies as an additional intervention with text messaging. The overall results showed that the text messaging intervention significantly reduced systolic BP (SBP) but not diastolic BP (DBP). There was no significant difference in BP reduction between studies that lasted 6 months or less and those that lasted more than 7 months. Seven studies that lasted 6 months or less involving 1428 patients with hypertension were pooled for further meta-analysis. Text messages delivered at a lower frequency (once per week or less) had a small effect on SBP reduction (effect size 0.35, <italic>P</italic>&#60;.01) and DBP reduction (effect size 0.28, <italic>P</italic>=.01). In addition, the use of a text messaging intervention halved the odds of uncontrolled BP among patients with hypertension in 6 months (odds ratio 0.46, <italic>P</italic>=.02).</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>This review found that a text messaging intervention was effective in BP control. One-way text messaging delivered in a weekly manner was suggested to be effective and required fewer resources. Future studies should use different forms of text message and be integrated into other interventions to improve adherence behaviors and BP control among patients with hypertension.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>text messaging</kwd>
        <kwd>hypertension</kwd>
        <kwd>blood pressure</kwd>
        <kwd>mHealth</kwd>
        <kwd>meta-analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <sec>
        <title>Background</title>
        <p>For a decade, hypertension (HTN) has been the leading risk factor for global disease burden [<xref ref-type="bibr" rid="ref1">1</xref>]. Over 1 billion people are estimated to have HTN worldwide [<xref ref-type="bibr" rid="ref2">2</xref>], which necessitates the development of national and international guidelines that provide scientific evidence for the control of blood pressure (BP) [<xref ref-type="bibr" rid="ref3">3</xref>-<xref ref-type="bibr" rid="ref8">8</xref>]. Persistent adherence to medications and lifestyle modifications is emphasized in the guidelines to control BP effectively; however, a low adherence rate has been noted in reviews and studies. Two systematic reviews have revealed that medication adherence among patients with HTN is 55% [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref10">10</xref>]. Regarding adherence to lifestyle modifications, studies have shown that adherence to one component of lifestyle modifications ranges from 14% to 85% [<xref ref-type="bibr" rid="ref11">11</xref>-<xref ref-type="bibr" rid="ref14">14</xref>], while only 1.7% to 23.6% of patients with HTN adhered to all components of lifestyle modifications: smoking cessation, limited alcohol consumption, regular exercise, maintenance of optimal body weight, and healthy diet [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref15">15</xref>].</p>
        <p>Different interventions have been developed such as self BP monitoring, educational interventions, and health professional–led care to improve adherence to HTN management. Reviews suggested that educational interventions directed at patients not only improved BP significantly [<xref ref-type="bibr" rid="ref16">16</xref>] but also had a significant effect on adherence to medications and lifestyle modifications [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>]. The reviews further indicated that adding digital components such as text messaging potentially enhances the effect of educational interventions, resulting in improved BP control.</p>
      </sec>
      <sec>
        <title>Text Messaging Intervention</title>
        <p>Systematic reviews of the effect of text messaging intervention on HTN management were not lacking; nonetheless, the results were inconclusive. Vargas and colleagues [<xref ref-type="bibr" rid="ref19">19</xref>] included both quasi-experimental and randomized controlled trials (RCTs) in the review. They searched for articles published until July 2015, and 6 studies were included in the meta-analysis. Although the review revealed that the use of 2-month to 12-month text messaging interventions potentially decreases both systolic blood pressure (SBP) and diastolic blood pressure (DBP), the effect size was not determined because of insufficient data and high heterogeneity was noted because of different study designs [<xref ref-type="bibr" rid="ref19">19</xref>]. In another systematic review, Islam et al [<xref ref-type="bibr" rid="ref20">20</xref>] included RCTs published between January 1990 and July 2016, and the interventions lasted at least 6 months, with 70% of participants with cardiovascular diseases completing the study. Nine studies were included in the meta-analysis, and the results showed that interventions using a 6-month to 12-month text messaging intervention significantly reduced SBP and DBP among patients with cardiovascular diseases; however, high heterogeneity was observed as different dosages of text messaging intervention were pooled for meta-analysis [<xref ref-type="bibr" rid="ref20">20</xref>]. Kassavou and Sutton [<xref ref-type="bibr" rid="ref21">21</xref>] reviewed the use of voice messaging and text messaging interventions on medication adherence among patients with cardiometabolic diseases. They searched for RCTs published between January 1992 and April 2016. Of the 17 included studies, 9 used text messaging. The results of the meta-analysis indicated that the 25-day to 12-month interventions could improve medication adherence significantly; however, high heterogeneity was noted again because of wide variety of interventions used with text messaging. In addition, the authors did not differentiate the effects of text messaging from those of voice messaging on medication adherence [<xref ref-type="bibr" rid="ref21">21</xref>]. Although the use of a text messaging intervention potentially improves BP control and medication adherence, the frequency of using a text messaging intervention varies from multiple messages per day to fewer than one message per week [<xref ref-type="bibr" rid="ref19">19</xref>-<xref ref-type="bibr" rid="ref21">21</xref>]. A review suggested that the use of 2-way text messaging, which required the participants to reply to the received text message, could improve BP control [<xref ref-type="bibr" rid="ref19">19</xref>]. However, this suggestion was not based on the effect of pooled data. Thus, the directionality of effective text messaging remains inconclusive.</p>
        <p>Other than a text messaging intervention, the use of smartphone apps and websites was reviewed and found to have a significant effect on BP control [<xref ref-type="bibr" rid="ref22">22</xref>]. The interventions required participants to download a HTN smartphone app or access specific websites for HTN management. The ownership of a smartphone is the basic requirement for smartphone apps, and internet access is a prerequisite for both the apps and websites. However, concerns regarding the required technological competency and data protection have been raised [<xref ref-type="bibr" rid="ref23">23</xref>]. Alternatively, a text messaging intervention can be delivered to recipients via a telecommunication network without any specific apps or internet access. Text message is compatible with being delivered and received between mobile phones and smartphones. Thus, the use of a test messaging intervention potentially covers more people than that of smartphone apps or websites.</p>
      </sec>
      <sec>
        <title>Research Gap</title>
        <p>In summary, a text messaging intervention may improve HTN management; however, effective additional interventions with text messages have not been identified in previous reviews. A significant effect on BP reduction and medication adherence on HTN-related diseases could be noted if the intervention lasted more than 6 months, but the effectiveness of text messaging interventions lasting 6 months or less was unclear. Also, the dosage of text messaging in terms of frequency and directionality was inconclusive in previous reviews. Regarding the inclusion and exclusion criteria of previous reviews, the included studies were published until July 2016, which might not have reflected the increased use of mobile phones in recent years. As a text messaging intervention is simple to use and widely accepted by both mobile phone and smartphone users, it is worth including recent evidence to review the use of text messaging in HTN management.</p>
      </sec>
      <sec>
        <title>Aims</title>
        <p>This review aimed to identify the effectiveness of a text messaging intervention in HTN management, with a specific focus on the dosage of text messaging interventions lasting 6 months or less in terms of frequency and directionality and the type of additional interventions with text messages.</p>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study Design</title>
        <p>A systematic review and meta-analysis were conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement [<xref ref-type="bibr" rid="ref24">24</xref>], and the search was guided by the PRISMA framework:</p>
        <list list-type="bullet">
          <list-item>
            <p>Participants: adults with HTN</p>
          </list-item>
          <list-item>
            <p>Interventions: text messaging</p>
          </list-item>
          <list-item>
            <p>Comparisons: standard care or usual care</p>
          </list-item>
          <list-item>
            <p>Outcomes: BP</p>
          </list-item>
          <list-item>
            <p>Study design: RCT</p>
          </list-item>
        </list>
      </sec>
      <sec>
        <title>Search Strategy</title>
        <p>Keywords used in the search included hypertension, high blood pressure, adult, text messaging, text message, sms, short message service, and texting. The electronic databases related to health sciences used were Embase, Medline, CINAHL Complete (via EbscoHost), PsycINFO, and Scopus. Since the number of included studies in the previous review of the use of text messaging interventions was small [<xref ref-type="bibr" rid="ref19">19</xref>-<xref ref-type="bibr" rid="ref21">21</xref>], we searched for articles available in the databases until June 30, 2020 for screening. A manual search was conducted to identify potentially eligible studies from the reference lists of previous reviews [<xref ref-type="bibr" rid="ref19">19</xref>-<xref ref-type="bibr" rid="ref21">21</xref>].</p>
      </sec>
      <sec>
        <title>Selection Criteria</title>
        <sec>
          <title>Participants</title>
          <p>Adults aged 18 years and over who had been diagnosed with primary HTN were included. Patients diagnosed with secondary HTN or pregnancy-related HTN were excluded as they required different management strategies [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref8">8</xref>].</p>
        </sec>
        <sec>
          <title>Interventions</title>
          <p>Studies that used text messaging as a single or combined intervention were included. Studies using any specific HTN smartphone apps were excluded.</p>
        </sec>
        <sec>
          <title>Comparisons and Design</title>
          <p>Standard care or usual care provided to the control group was set as a comparator. For the 3-arm RCTs, a comparison was made between the control group and the text messaging intervention group. The comparison between the text messaging intervention group and other active intervention group was not conducted. The study design was limited to RCT to yield reliable evidence on the effectiveness of the interventions. All unpublished theses, conference papers, and non-English articles were excluded.</p>
        </sec>
        <sec>
          <title>Outcome</title>
          <p>The mean and standard deviation of both SBP and DBP were used as continuous data for the meta-analysis. The number of participants with uncontrolled BP in each group was used as dichotomous data for the meta-analysis.</p>
        </sec>
        <sec>
          <title>Quality Assessment</title>
          <p>The methodological quality of the RCTs was assessed using the Physiotherapy Evidence Database (PEDro) scale. The scale was designed to assess the quality of an RCT and assesses 11 items including randomization, allocation concealment, blinding, treatment of data, and dropout rate [<xref ref-type="bibr" rid="ref25">25</xref>]. Among the items, 1 point was awarded to each item if the criteria were fulfilled; 10 of the items were rated, resulting in a total score range of 0-10. The total score &#60;4 was considered low quality, which affected the applicability of the evidence [<xref ref-type="bibr" rid="ref26">26</xref>]. A cutoff of 4 was used to determine the selection of each study. The quality of the RCTs was assessed independently by the first and fourth authors, and the disagreements were discussed and resolved by the second author.</p>
        </sec>
      </sec>
      <sec>
        <title>Data Synthesis and Meta-analysis</title>
        <p>Data from eligible studies were extracted into a form containing the following information: authors, year of publication, type of RCT (2-arm or 3-arm), guiding theory, age of participants, setting, dosage of text messaging intervention, and outcomes.</p>
        <p>Review Manager 5.4 (Cochrane Collaboration) was used in the meta-analysis to extract data regarding changes in SBP and DBP between baseline and final assessment. In accordance with the aim of this review, 3 subgroup analyses were conducted according to directionality, frequency, and combined interventions. Standardized mean difference (SMD) with a 95% confidence interval was used for the pooled effect of continuous data, SBP, and DBP. The <italic>I</italic><sup>2</sup> statistic was used to detect heterogeneity. A random effects model was used as it allows for different true effect sizes across studies [<xref ref-type="bibr" rid="ref27">27</xref>]. SMDs equal to 0.2, 0.5, and 0.8 represented small, moderate, and large effects, respectively [<xref ref-type="bibr" rid="ref28">28</xref>]. Regarding the dichotomous data on BP control, the number of participants with uncontrolled BP and total sample size in each of the intervention and comparator groups were used to determine the effect size and reported as odds ratio (OR). A sensitivity analysis was conducted to explore possible differences between the intention-to-treat analysis and others.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Search Results</title>
        <p>A total of 1731 articles were initially identified from database searches, and 2 additional articles were identified in the manual search, as shown in <xref rid="figure1" ref-type="fig">Figure 1</xref>. A web-based application for systematic reviews, Rayyan, was used to remove duplicates and screen titles and abstracts [<xref ref-type="bibr" rid="ref29">29</xref>]. Among the 56 articles assessed in full text, 2 were excluded due to low quality (PEDro score &#60;4). The reasons for excluding those studies were that they did not conceal the group allocation process from the participants, therapists, and assessors; furthermore, only the participants from the intervention group withdrew from the study, and the data management and analysis methods were not stated clearly. Finally, 12 studies met the selection criteria. The characteristics of the studies and dosage of the text messaging intervention are described below.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Flow diagram of literature selection process. BP: blood pressure; HTN: hypertension; RCT: randomized controlled trial.</p>
          </caption>
          <graphic xlink:href="mhealth_v9i9e24527_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Quality of Studies</title>
        <p>Of the 12 included studies, the overall methodological quality was fair, and the PEDro score ranged from 4 to 8, with a mean score of 5.75 (<xref ref-type="table" rid="table1">Table 1</xref>). None of the studies was able to fulfill the participant-blinding criterion due to the nature of the text messaging intervention (<xref rid="figure2" ref-type="fig">Figure 2</xref>). Participants automatically knew their group allocation because no text messages were delivered to the control group. In addition, blinding of therapists was lacking in most studies in that the therapists knew the participant group allocation when providing care. The assessors in some studies knew the group allocation during follow-up data collection. Regarding the treatment of data, intention-to-treat was not followed in some studies, and clinical significance in each group was not assessed.</p>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Methodological quality as percentage across all included studies.</p>
          </caption>
          <graphic xlink:href="mhealth_v9i9e24527_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Characteristics of Studies</title>
        <p>The included studies were published between 2004 and 2020; 9 were published after 2016 [<xref ref-type="bibr" rid="ref30">30</xref>-<xref ref-type="bibr" rid="ref38">38</xref>]. The characteristics of the included studies are summarized in <xref ref-type="table" rid="table1">Table 1</xref>. Of the 12 included studies, 2 were 3-arm RCTs [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref39">39</xref>], and 4 studies provided the interventions lasted more than 7 months [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]. The number of participants in each study varied from 67 to 1432, with a mean age of 58.97 years. Participants mean age was over 60 years in 3 studies [<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Four studies were conducted in the United States; 2 each in China and Spain; and one each in Argentina, South Africa, Chile, and Finland.</p>
        <p>Regarding the additional interventions with text messaging, 4 studies integrated face-to-face health education with text messaging intervention to reinforce the effect on HTN management [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref41">41</xref>]. Only 4 studies were guided by theory, 2 of which used the health belief model [<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref33">33</xref>], with the social cognitive theory and information-motivation-behavioral skills model used in 2 other studies [<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref37">37</xref>].</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Characteristics of included studies.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="210"/>
            <col width="170"/>
            <col width="190"/>
            <col width="180"/>
            <col width="180"/>
            <col width="70"/>
            <thead>
              <tr valign="top">
                <td>Author</td>
                <td>Duration of intervention (study design)</td>
                <td>Frequency (directionality)</td>
                <td>Theory</td>
                <td>Additional intervention</td>
                <td>PEDro<sup>a</sup> score</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Márquez Contreras et al [<xref ref-type="bibr" rid="ref41">41</xref>]</td>
                <td>6 m<sup>b</sup> (2-arm)</td>
                <td>2/w<sup>c</sup> (1-way)</td>
                <td>No</td>
                <td>Health education, print materials</td>
                <td>5</td>
              </tr>
              <tr valign="top">
                <td>Carrasco et al [<xref ref-type="bibr" rid="ref40">40</xref>]</td>
                <td>6 m (2-arm)</td>
                <td>4/w (1-way)</td>
                <td>No</td>
                <td>No</td>
                <td>6</td>
              </tr>
              <tr valign="top">
                <td>Bobrow et al [<xref ref-type="bibr" rid="ref39">39</xref>]</td>
                <td>12 m (3-arm)</td>
                <td>1/w (1-way &#38; 2-way)</td>
                <td>No</td>
                <td>No</td>
                <td>8</td>
              </tr>
              <tr valign="top">
                <td>Buis et al [<xref ref-type="bibr" rid="ref30">30</xref>]</td>
                <td>1 m (2-arm)</td>
                <td>1/d<sup>d</sup> (1-way)</td>
                <td>Health belief model</td>
                <td>No</td>
                <td>4</td>
              </tr>
              <tr valign="top">
                <td>He et al [<xref ref-type="bibr" rid="ref31">31</xref>]</td>
                <td>18 m (2-arm)</td>
                <td>1/w (1-way)</td>
                <td>No</td>
                <td>Health education</td>
                <td>6</td>
              </tr>
              <tr valign="top">
                <td>Varleta et al [<xref ref-type="bibr" rid="ref32">32</xref>]</td>
                <td>6 m (2-arm)</td>
                <td>1/14 days (1-way)</td>
                <td>Social cognitive theory</td>
                <td>No</td>
                <td>5</td>
              </tr>
              <tr valign="top">
                <td>Wan et al [<xref ref-type="bibr" rid="ref33">33</xref>]</td>
                <td>3 m (2-arm)</td>
                <td>1/w (1-way)</td>
                <td>Health belief model</td>
                <td>Health education, phone call, booklet</td>
                <td>7</td>
              </tr>
              <tr valign="top">
                <td>Mehta et al [<xref ref-type="bibr" rid="ref34">34</xref>]</td>
                <td>4 m (3-arm)</td>
                <td>1/d (2-way)</td>
                <td>No</td>
                <td>No</td>
                <td>7</td>
              </tr>
              <tr valign="top">
                <td>Zahr et al [<xref ref-type="bibr" rid="ref35">35</xref>]</td>
                <td>6 m (2-arm)</td>
                <td>2/d (2-way)</td>
                <td>No</td>
                <td>No</td>
                <td>4</td>
              </tr>
              <tr valign="top">
                <td>Schroeder et al [<xref ref-type="bibr" rid="ref36">36</xref>]</td>
                <td>12 m (2-arm)</td>
                <td>1/w (1-way)</td>
                <td>No</td>
                <td>No</td>
                <td>7</td>
              </tr>
              <tr valign="top">
                <td>Tahkola et al [<xref ref-type="bibr" rid="ref37">37</xref>]</td>
                <td>12 m (2-arm)</td>
                <td>Varied (1-way)</td>
                <td>Information-motivation-behavioral skills model</td>
                <td>No</td>
                <td>5</td>
              </tr>
              <tr valign="top">
                <td>Zhai et al [<xref ref-type="bibr" rid="ref38">38</xref>]</td>
                <td>3 m (2-arm)</td>
                <td>1/3 d (1-way)</td>
                <td>No</td>
                <td>Health education</td>
                <td>5</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>PEDro: Physiotherapy Evidence Database.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>m: month.</p>
            </fn>
            <fn id="table1fn3">
              <p><sup>c</sup>w: week.</p>
            </fn>
            <fn id="table1fn4">
              <p><sup>d</sup>d: day.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Dosage of Text Messaging Interventions</title>
        <p>The frequency of delivering text messages to patients with HTN varied from daily to biweekly among the included studies. Only one study used an individualized frequency to deliver text messages to the participants [<xref ref-type="bibr" rid="ref37">37</xref>]. Text messages were delivered every day for the first 2 weeks, after which the frequency decreased from the third week onward. The first telephone follow-up was conducted in the fourth week to evaluate the participants’ BP levels. The frequency of text messages would increase thereafter if BP was not controlled at the follow-up. In addition, He et al [<xref ref-type="bibr" rid="ref31">31</xref>] and Tahkola et al [<xref ref-type="bibr" rid="ref37">37</xref>] tailored the content of text messages in accordance with the barriers identified in the assessment and follow-up.</p>
        <p>Regarding the directionality, 2-way text messaging was seldom used in the studies. Zahr et al [<xref ref-type="bibr" rid="ref35">35</xref>] required the participants to report SBP and DBP via the text messages. In the Mehta et al [<xref ref-type="bibr" rid="ref34">34</xref>] 3-arm RCT, one intervention arm received an electronic pill box that was connected to an internet platform to monitor the use of medication, while another intervention arm required the participants to respond to text messages if they had taken the medication. The Bobrow et al [<xref ref-type="bibr" rid="ref39">39</xref>] study was a 3-arm RCT that compared the effects of 1-way and 2-way text messaging on HTN management with the control group. Participants replied to text messages to change the medical appointments, delivery times, and language of the text message delivery. In comparison with the control group, the results of the study by Bobrow et al [<xref ref-type="bibr" rid="ref39">39</xref>] showed that the use of 1-way text messaging decreased SBP significantly, whereas the decrease in SBP in the 2-way text messaging arm failed to achieve statistical significance. Bobrow et al [<xref ref-type="bibr" rid="ref39">39</xref>] suggested that the nonsignificant findings might have been related to the older age of the participants or their experience in using technology.</p>
      </sec>
      <sec>
        <title>Other Outcomes</title>
        <p>In addition to BP measurement, medication adherence was commonly assessed (<xref ref-type="table" rid="table2">Table 2</xref>). However, the methods of assessment differed among the studies. Six studies used self-reported measures to assess the medication adherence [<xref ref-type="bibr" rid="ref30">30</xref>-<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. One study compared medication adherence between electronic pill boxes and text message responses [<xref ref-type="bibr" rid="ref34">34</xref>] and another used the pill count [<xref ref-type="bibr" rid="ref39">39</xref>]. Among the studies using self-reported measures, the Morisky Medication Adherence Scale was used in 3 studies. Most studies demonstrated an improvement in medication adherence after the use of text messaging. However, the diverse assessment methods resulted in difficulty in comparing medication adherence between studies. It is noteworthy that only one study used a self-reported approach to assess the adherence to lifestyle modifications among the patients with HTN [<xref ref-type="bibr" rid="ref33">33</xref>].</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Outcome measures of included studies.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="270"/>
            <col width="120"/>
            <col width="170"/>
            <col width="270"/>
            <col width="170"/>
            <thead>
              <tr valign="top">
                <td>Author</td>
                <td>Blood pressure</td>
                <td>Medication adherence</td>
                <td>Adherence to lifestyle modifications</td>
                <td>Appointment adherence</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Márquez Contreras et al [<xref ref-type="bibr" rid="ref41">41</xref>]</td>
                <td>+<sup>a</sup></td>
                <td>N<sup>b</sup></td>
                <td>N</td>
                <td>–<sup>c</sup></td>
              </tr>
              <tr valign="top">
                <td>Carrasco et al [<xref ref-type="bibr" rid="ref40">40</xref>]</td>
                <td>–</td>
                <td>N</td>
                <td>N</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>Bobrow et al [<xref ref-type="bibr" rid="ref39">39</xref>]</td>
                <td>+</td>
                <td>–</td>
                <td>N</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>Buis et al [<xref ref-type="bibr" rid="ref30">30</xref>]</td>
                <td>–</td>
                <td>–</td>
                <td>N</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>He et al [<xref ref-type="bibr" rid="ref31">31</xref>]</td>
                <td>+</td>
                <td>+</td>
                <td>N</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>Varleta et al [<xref ref-type="bibr" rid="ref32">32</xref>]</td>
                <td>–</td>
                <td>+</td>
                <td>N</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>Wan et al [<xref ref-type="bibr" rid="ref33">33</xref>]</td>
                <td>+</td>
                <td>+</td>
                <td>+</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>Mehta et al [<xref ref-type="bibr" rid="ref34">34</xref>]</td>
                <td>–</td>
                <td>–</td>
                <td>N</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>Zahr et al [<xref ref-type="bibr" rid="ref35">35</xref>]</td>
                <td>–</td>
                <td>N</td>
                <td>N</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>Schroeder et al [<xref ref-type="bibr" rid="ref36">36</xref>]</td>
                <td>–</td>
                <td>–</td>
                <td>N</td>
                <td>–</td>
              </tr>
              <tr valign="top">
                <td>Tahkola et al [<xref ref-type="bibr" rid="ref37">37</xref>]</td>
                <td>–</td>
                <td>N</td>
                <td>N</td>
                <td>N</td>
              </tr>
              <tr valign="top">
                <td>Zhai et al [<xref ref-type="bibr" rid="ref38">38</xref>]</td>
                <td>+</td>
                <td>+</td>
                <td>N</td>
                <td>N</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>+: significant differences between intervention group (text messaging alone or with additional interventions) and control group (standard care or usual care; <italic>P</italic>&#60;.05).</p>
            </fn>
            <fn id="table2fn2">
              <p><sup>b</sup>N: not measured.</p>
            </fn>
            <fn id="table2fn3">
              <p><sup>c</sup>–: nonsignificant differences between intervention and control groups.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Meta-analysis</title>
        <p>Four studies used interventions that lasted 12 months or more, while the interventions in 8 studies lasted 6 months or less. The corresponding authors of 2 studies were contacted via email to obtain unreported data, but only 1 of them provided the requested data [<xref ref-type="bibr" rid="ref32">32</xref>]. The study from which unreported data could not be obtained was excluded from the meta-analysis. In the Bobrow et al [<xref ref-type="bibr" rid="ref39">39</xref>] 3-arm RCT, text messaging was used in 2 intervention groups, and 2 comparisons with control group were extracted for meta-analysis. In the Mehta et al [<xref ref-type="bibr" rid="ref34">34</xref>] 3-arm RCT, text messaging was used in one intervention group, while an electronic pill box was used in another intervention group. Thus, only one comparison was performed. Although some long-term studies, such as those by Bobrow et al [<xref ref-type="bibr" rid="ref39">39</xref>] and He et al [<xref ref-type="bibr" rid="ref31">31</xref>], provided midprocess data at 6 months, the interventions were not delivered to completion, and the 6-month data failed to reflect the holistic effect of the interventions. The midprocess data at 6 months was not extracted for meta-analysis. <xref rid="figure3" ref-type="fig">Figures 3</xref> and <xref rid="figure4" ref-type="fig">4</xref> illustrate the durations of intervention lasting 6 months or less and those lasting more than 7 months made no statistical differences in SBP and DBP reduction (subgroup differences, <italic>P</italic>&#62;.05). The overall results revealed that the text messaging intervention significantly reduced SBP (<xref rid="figure3" ref-type="fig">Figure 3</xref>, SMD=.13, <italic>P</italic>=.01) but not DBP (<xref rid="figure4" ref-type="fig">Figure 4</xref>, SMD=.06, <italic>P</italic>=.56). To explore the effectiveness of text messaging interventions lasting 6 months or less, we excluded all studies with interventions lasted more than 7 months. Also, the study without obtaining unreported data was excluded. As a result, 7 studies lasting 6 months or less were pooled for meta-analysis in terms of directionality, frequency, and type of intervention.</p>
        <fig id="figure3" position="float">
          <label>Figure 3</label>
          <caption>
            <p>The effect of study duration on systolic blood pressure reduction.</p>
          </caption>
          <graphic xlink:href="mhealth_v9i9e24527_fig3.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure4" position="float">
          <label>Figure 4</label>
          <caption>
            <p>The effect of study duration on diastolic blood pressure reduction.</p>
          </caption>
          <graphic xlink:href="mhealth_v9i9e24527_fig4.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <p><xref ref-type="table" rid="table3">Tables 3</xref> and <xref ref-type="table" rid="table4">4</xref> show the effectiveness of a text messaging intervention on SBP and DBP reduction with interventions lasted 6 months or less. Regarding the directionality of text messaging, neither 1-way nor 2-way text messaging had a significant effect on SBP or DBP reduction. However, a small effect on SBP and DBP reduction was noted when text messages were delivered in a weekly manner (ie, 1 text message per week). However, the use of a text messaging intervention alone or in combination with health education did not significantly affect SBP or DBP reduction. Six studies reported the number of participants with uncontrolled BP (SBP ≥140 mm Hg or DBP ≥90 mm Hg) at the end of the study. The data were pooled as shown in <xref rid="figure5" ref-type="fig">Figure 5</xref>, and the use of a text messaging intervention helped patients with HTN achieve a controlled BP with SBP &#60;140 mm Hg and DBP &#60;90 mm Hg (OR 0.46, <italic>P</italic>=.02).</p>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Effectiveness of text messaging on systolic blood pressure reduction with interventions lasting 6 months or less.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="260"/>
            <col width="0"/>
            <col width="110"/>
            <col width="0"/>
            <col width="180"/>
            <col width="0"/>
            <col width="150"/>
            <col width="0"/>
            <col width="90"/>
            <col width="0"/>
            <col width="0"/>
            <col width="180"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Subgroup analysis</td>
                <td colspan="2">Number of studies</td>
                <td colspan="2">Effect size (95% CI)</td>
                <td colspan="2">Heterogeneity <italic>I</italic><sup>2</sup> (%)</td>
                <td colspan="2"><italic>P</italic> value</td>
                <td colspan="2">Significance of subgroup differences (<italic>P</italic> value)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="12">
                  <bold>Directionality of text messaging</bold>
                </td>
                <td>.10</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>1-way</td>
                <td colspan="2">5</td>
                <td colspan="2">0.18 (0.00, 0.36)</td>
                <td colspan="2">49</td>
                <td colspan="2">.05</td>
                <td colspan="3">—<sup>a</sup></td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2-way</td>
                <td colspan="2">2</td>
                <td colspan="2">–0.05 (–0.25, 0.15)</td>
                <td colspan="2">0</td>
                <td colspan="2">.65</td>
                <td colspan="3">—</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Frequency of text messaging</bold>
                </td>
                <td>.02</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>&#62;1 per week</td>
                <td colspan="2">5</td>
                <td colspan="2">0.04 (–0.09, 0.18)</td>
                <td colspan="2">22</td>
                <td colspan="2">.53</td>
                <td colspan="3">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≤1 per week</td>
                <td colspan="2">2</td>
                <td colspan="2">0.35 (0.13, 0.57)</td>
                <td colspan="2">0</td>
                <td colspan="2">.002</td>
                <td colspan="3">—</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Type of intervention</bold>
                </td>
                <td>.87</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>With health education</td>
                <td colspan="2">3</td>
                <td colspan="2">0.13 (–0.23, 0.48)</td>
                <td colspan="2">74</td>
                <td colspan="2">.49</td>
                <td colspan="3">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Text messaging only</td>
                <td colspan="2">4</td>
                <td colspan="2">0.09 (–0.06, 0.24)</td>
                <td colspan="2">14</td>
                <td colspan="2">.23</td>
                <td colspan="3">—</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table3fn1">
              <p><sup>a</sup>Not applicable.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap position="float" id="table4">
          <label>Table 4</label>
          <caption>
            <p>Effectiveness of text messaging on diastolic blood pressure reduction with interventions lasting 6 months or less.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="260"/>
            <col width="110"/>
            <col width="180"/>
            <col width="150"/>
            <col width="90"/>
            <col width="0"/>
            <col width="180"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Subgroup analysis</td>
                <td>Number of studies</td>
                <td>Effect size (95% CI)</td>
                <td>Heterogeneity <italic>I</italic><sup>2</sup> (%)</td>
                <td><italic>P</italic> value</td>
                <td colspan="2">Significance of subgroup differences (<italic>P</italic> value)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="7">
                  <bold>Directionality of text messaging</bold>
                </td>
                <td>.58</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>1-way</td>
                <td>5</td>
                <td>0.03 (–0.22, 0.29)</td>
                <td>75</td>
                <td>.79</td>
                <td colspan="2">—<sup>a</sup></td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2-way</td>
                <td>2</td>
                <td>–0.03 (–0.24, 0.17)</td>
                <td>0</td>
                <td>.75</td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td colspan="7">
                  <bold>Frequency of text messaging</bold>
                </td>
                <td>.01</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>&#62;1 per week</td>
                <td>5</td>
                <td>–0.10 (–0.28, 0.08)</td>
                <td>50</td>
                <td>.27</td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≤1 per week</td>
                <td>2</td>
                <td>0.28 (0.06, 0.50)</td>
                <td>0</td>
                <td>.01</td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td colspan="7">
                  <bold>Type of intervention</bold>
                </td>
                <td>.97</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>With health education</td>
                <td>3</td>
                <td>–0.06 (–0.48, 0.36)</td>
                <td>81</td>
                <td>.77</td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Text messaging only</td>
                <td>4</td>
                <td>0.07 (–0.08, 0.21)</td>
                <td>10</td>
                <td>.37</td>
                <td colspan="2">—</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table4fn1">
              <p><sup>a</sup>Not applicable.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <fig id="figure5" position="float">
          <label>Figure 5</label>
          <caption>
            <p>Odds ratio of text messaging on blood pressure control.</p>
          </caption>
          <graphic xlink:href="mhealth_v9i9e24527_fig5.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Sensitivity Analysis</title>
        <p>Among the 11 studies with sufficient data pooled in the meta-analysis, 5 used intention-to-treat analysis and the rest did not clearly state their method of analysis. No significant subgroup difference in SBP and DBP reduction was noted between the intention-to-treat analysis and others (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Seven studies with text messaging interventions lasted 6 months or less, 2 of which used intention-to-treat analysis. Figure S4 showed a significant subgroup difference in DBP reduction (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The pooled results of studies using intention-to-treat analysis showed a favorable effect in the control group, in which usual care reduced DBP more effectively than the text messaging intervention [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. No significant subgroup difference in SBP reduction was noted among interventions that lasted 6 months or less (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>).</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Summary</title>
        <p>This review identified 12 RCTs from 5 electronic databases. The study duration varied from 1 to 18 months. Five studies were published between January 2019 and June 2020, showing that the interest in using text messaging has increased in HTN research. In the meta-analysis, the use of a text messaging intervention significantly reduced SBP but not DBP. Seven studies with a text messaging intervention lasting 6 months or less, involving 1428 patients with HTN, were pooled for further analysis. The results showed that the delivery of weekly text messages significantly improved both SBP and DBP. In addition, the use of a text messaging intervention halved the odds of uncontrolled BP in patients with HTN in 6 months. This review provided information regarding the dosage of a text messaging intervention and type of additional interventions in HTN research using text messages.</p>
      </sec>
      <sec>
        <title>Directionality and Frequency</title>
        <p>A systematic review of patients with HTN claimed that the use of 2-way text messaging potentially reduces SBP and DBP [<xref ref-type="bibr" rid="ref19">19</xref>]; however, our findings did not reveal any significant effect relating to the directionality of text messaging on SBP and DBP reduction with an intervention lasting 6 months or less. Noteworthily, participants were required to respond when 2-way text messaging was used. In terms of simple yes/no responses, a session on how to reply to text messages was necessary if specific information, such as BP level, was required. The use of 2-way text messaging may potentially require additional resources. Head et al [<xref ref-type="bibr" rid="ref42">42</xref>] found that the use of 1-way text messaging significantly increased the likelihood of healthy behaviors. The Bobrow et al [<xref ref-type="bibr" rid="ref39">39</xref>] 3-arm RCT also showed that the use of 1-way text messaging decreased SBP significantly. Having the same tendency, our findings revealed that 1-way text messaging might potentially reduce SBP (<xref ref-type="table" rid="table3">Table 3</xref>, SMD=.18, <italic>P</italic>=.05). Therefore, 1-way text messaging might be more feasible and effective for patients with HTN.</p>
        <p>Regarding frequency, a decreasing frequency was found to have a moderate effect on health promotion in a review [<xref ref-type="bibr" rid="ref42">42</xref>]. Since only 1 included study used a decreasing frequency of text messaging on HTN management [<xref ref-type="bibr" rid="ref37">37</xref>], the effect was not examined in this review. Accordingly, a previous review revealed that the daily or weekly delivery of text messages had a minute effect on promoting health behaviors [<xref ref-type="bibr" rid="ref42">42</xref>]. Our findings revealed that text messaging could reduce SBP as well as the odds of uncontrolled BP given a target population of patients with HTN and the weekly delivery of text messages.</p>
      </sec>
      <sec>
        <title>Types of Intervention</title>
        <p>Health education was a commonly used intervention in combination with text messages among the included studies. In this review, a text messaging intervention alone and the combined use of health education had no significant effect on SBP and DBP reduction. The findings contradicted those of a recent review, in which the use of supportive methods, such as text messages and take-home reading materials, with health education yielded a moderately significant effect in improving both SBP and DBP among patients with HTN [<xref ref-type="bibr" rid="ref18">18</xref>]. In addition, a review by Head et al [<xref ref-type="bibr" rid="ref42">42</xref>] found that a text messaging intervention alone and the combination of text messages with other interventions could have a significantly small effect on health promotion; however, the duration of their included studies was not limited, and a wide variety of combined interventions was noted such as websites, health education, print materials, pedometers, and daily records of health behavior. Hence, the effectiveness of a text messaging intervention alone or in combination with other interventions to manage HTN remains inconclusive.</p>
        <p>On the other hand, tailored content of text messages showed a significant effect on health promotion and medication adherence in previous reviews [<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. Two studies in this review were found to tailor their text messages to the participants [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref37">37</xref>], but the interventions lasted 12 to 18 months, resulting in an effect that was not analyzed in the meta-analysis. He et al [<xref ref-type="bibr" rid="ref31">31</xref>] recruited 1432 patients with HTN in their study and revealed that the tailored content reduced SBP and DBP significantly; however, a significant reduction in SBP and DBP was not noted in the study by Tahkola et al [<xref ref-type="bibr" rid="ref37">37</xref>]. Another study recruiting people with uncontrolled BP showed that tailored content did not make a significant difference in the reduction of SBP and DBP [<xref ref-type="bibr" rid="ref43">43</xref>]. The effect of tailored content of text messages on SBP and DBP in patients with HTN was inconclusive. In addition, tailored content requires additional resources, as He et al [<xref ref-type="bibr" rid="ref31">31</xref>] estimated that the use of tailored content would cost an extra US $6.36 per patient per month. Therefore, tailored content of text messages may not be beneficial to patients with HTN, especially in health care systems with limited resources.</p>
      </sec>
      <sec>
        <title>Assessment of Adherence to HTN Management</title>
        <p>Medication adherence was assessed in most of the included studies. However, adherence to lifestyle modifications is the core element in HTN management guidelines for patients with HTN and those at risk of HTN [<xref ref-type="bibr" rid="ref3">3</xref>-<xref ref-type="bibr" rid="ref8">8</xref>]. The only included study that assessed adherence to lifestyle modifications was conducted by Wan et al [<xref ref-type="bibr" rid="ref33">33</xref>] in 2018. They revealed that the use of standardized content of text messages combined with health education and leaflet intervention could improve adherence behaviors in 3 months [<xref ref-type="bibr" rid="ref33">33</xref>]. Another 2-arm RCT recruited 710 patients with coronary heart diseases and showed that adherence to lifestyle modifications improved significantly when tailored content of text messages was delivered 4 times a week for 6 months [<xref ref-type="bibr" rid="ref44">44</xref>]. These studies suggest that a text messaging intervention may be an effective method to improve adherence to lifestyle modifications. Future studies should examine the effect of text messaging on adherence to both medications and lifestyle modifications among patients with HTN. Regarding the choice of adherence scale, the Treatment Adherence Questionnaire for Patients with Hypertension [<xref ref-type="bibr" rid="ref45">45</xref>] was suggested in 2 systematic reviews, as it is a comprehensive measure that covers adherence to both medication and lifestyle modifications and is designated for patients with HTN [<xref ref-type="bibr" rid="ref46">46</xref>,<xref ref-type="bibr" rid="ref47">47</xref>].</p>
      </sec>
      <sec>
        <title>Intention-to-Treat Analysis</title>
        <p>A significant difference of DBP reduction in control group was found in the sensitivity analysis (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The significant result was from studies that delivered text messages more frequently (more than once per week) [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. The significant DBP reduction in the control group may indicate information overload by means of high frequency of text messaging [<xref ref-type="bibr" rid="ref48">48</xref>].</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>Several limitations were noted in this review. We searched for and included only English articles, thus reducing the diversity of the analyzed studies. Only 7 studies were included in the subgroup analysis. Hence, the findings should be interpreted with caution, since the subgroup analyses consisted of a very small number of studies and the variations in dosage of text messaging and combination with health education caused high heterogeneity in the meta-analysis. The decision to only include RCTs in the meta-analysis increased the internal validity of the findings; nonetheless, the external validity might have decreased. The scope of the review was limited to the text messaging, and advanced features added to today’s mobile phones or smartwatches to enhance HTN management were not explored.</p>
      </sec>
      <sec>
        <title>Implications</title>
        <p>We have provided advice for the use of text messaging in HTN management in practice and research. The use of text messaging could help patients with HTN return to controlled BP levels in 6 months or less, and 1-way text messaging could be useful if delivered weekly to patients with HTN. The standardized content of text messages can be stored in a preprogrammed database. Once clients agree to receive text messages, their mobile phone numbers can be entered into the program, thus facilitating the regular delivery of text messages to the clients.</p>
        <p>The rapid growth of smartphone ownership and advancing technologies in recent decades has evolved a new mode of delivering text messages. Data from the Pew Research Center showed that smartphone ownership in advanced economies increased from 68% to 76% between 2015 and 2018 [<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref50">50</xref>]. Instead of using a traditional short message service, text messages can now be delivered in the form of voice, images, and videos via general smartphone communication apps such as Telegram and WhatsApp. The advanced features of text messaging may enhance adherence behaviors, resulting in an improvement in BP control [<xref ref-type="bibr" rid="ref51">51</xref>,<xref ref-type="bibr" rid="ref52">52</xref>]. Hence, future studies should examine the effect of informative images and videos on HTN management, including BP regulation, medication adherence, and adherence to lifestyle modifications. The integration of text messaging with advanced technology should be explored in future studies.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>This review updates the information from previous reviews with a focus on patients with HTN. The meta-analysis provides evidence for the use of a text messaging intervention in BP control. As indicated in the meta-analysis, the use of a text messaging intervention lowers the odds of uncontrolled BP. Text messages delivered at a lower frequency had a small effect on the reduction of SBP and DBP. Although the effect of a text messaging intervention on medication adherence was not examined, most included studies showed improvement after the intervention. Thus, text messaging is a potentially useful intervention for HTN management. Regarding the implications of this review, weekly 1-way text messaging is recommended in practice and research. The use of text messages should be incorporated into different interventions in future studies to further improve adherence behaviors and BP control among patients with HTN. There is great potential for professional development in the area of using advanced features of text messages and the more feasible use of these features in delivering messages to clients effectively.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Sensitivity analysis.</p>
        <media xlink:href="mhealth_v9i9e24527_app1.doc" xlink:title="DOC File , 947 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">BP</term>
          <def>
            <p>blood pressure</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">DBP</term>
          <def>
            <p>diastolic blood pressure</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">HTN</term>
          <def>
            <p>hypertension</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">OR</term>
          <def>
            <p>odds ratio</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">PEDro</term>
          <def>
            <p>Physiotherapy Evidence Database</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">PRISMA</term>
          <def>
            <p>Preferred Reporting Items for Systematic Reviews and Meta-analyses</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">RCT</term>
          <def>
            <p>randomized controlled trial</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb8">SBP</term>
          <def>
            <p>systolic blood pressure</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb9">SMD</term>
          <def>
            <p>standardized mean difference</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <fn-group>
      <fn fn-type="con">
        <p>HLT contributed to data search, extraction, and analysis and then drafted and revised this paper. EMLW advised on data analysis, revised the paper, and approved the final manuscript. KC revised the paper and approved the final manuscript. SFC contributed to data search and extraction and approved the final manuscript.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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