Published on 15.02.16 in Vol 4, No 1 (2016): Jan-Mar
Works citing "The PAediatric Risk Assessment (PARA) Mobile App to Reduce Postdischarge Child Mortality: Design, Usability, and Feasibility for Health Care Workers in Uganda"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5167):
(note that this is only a small subset of citations)
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Wasingya-Kasereka L, Nakitende I, Nabiryo J, Namujwiga T, Kellett J. Presenting symptoms, diagnoses and in-hospital mortality in a low resource hospital environment. QJM: An International Journal of Medicine 2021;114(1):25
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Zhou L, Saptono A, Setiawan IMA, Parmanto B. Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study. JMIR mHealth and uHealth 2020;8(1):e15060
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Balikuddembe MS, Tumwesigye NM, Wakholi PK, Tylleskär T. Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review. JMIR Medical Informatics 2017;5(2):e14
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Herrera-Usagre M, Santana V, Burgos-Pol R, Oliva JP, Sabater E, Rita-Acosta M, Casado MA, Cruces S, Pacheco M, Solorzano Perez C. Effect of a Mobile App on Preoperative Patient Preparation for Major Ambulatory Surgery: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(1):e10938
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Azad-Khaneghah P, Neubauer N, Miguel Cruz A, Liu L. Mobile health app usability and quality rating scales: a systematic review. Disability and Rehabilitation: Assistive Technology 2021;16(7):712
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Odendaal WA, Anstey Watkins J, Leon N, Goudge J, Griffiths F, Tomlinson M, Daniels K. Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2020;
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Ettinger KM, Pharaoh H, Buckman RY, Conradie H, Karlen W. Building quality mHealth for low resource settings. Journal of Medical Engineering & Technology 2016;40(7-8):431
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Fazzino TL, Martin CK, Forbush K. The Remote Food Photography Method and SmartIntake App for the Assessment of Alcohol Use in Young Adults: Feasibility Study and Comparison to Standard Assessment Methodology. JMIR mHealth and uHealth 2018;6(9):e10460
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Rothstein JD, Jennings L, Moorthy A, Yang F, Gee L, Romano K, Hutchful D, Labrique AB, LeFevre AE. Qualitative Assessment of the Feasibility, Usability, and Acceptability of a Mobile Client Data App for Community-Based Maternal, Neonatal, and Child Care in Rural Ghana. International Journal of Telemedicine and Applications 2016;2016:1
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Zhang J, Tüshaus L, Nuño Martínez N, Moreo M, Verastegui H, Hartinger SM, Mäusezahl D, Karlen W. Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis. JMIR mHealth and uHealth 2018;6(12):e11896
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Elahi C, Spears CA, Williams S, Dunn TW, Najjuma JN, Staton CA, Nickenig Vissoci JR, Fuller A, Kitya D, Haglund MM. An Attitude Survey and Assessment of the Feasibility, Acceptability, and Usability of a Traumatic Brain Injury Decision Support Tool in Uganda. World Neurosurgery 2020;139:495
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Wiens MO, Kumbakumba E, Larson CP, Moschovis PP, Barigye C, Kabakyenga J, Ndamira A, English L, Kissoon N, Zhou G, Ansermino JM. Scheduled Follow-Up Referrals and Simple Prevention Kits Including Counseling to Improve Post-Discharge Outcomes Among Children in Uganda: A Proof-of-Concept Study. Global Health: Science and Practice 2016;4(3):422
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Juengst SB, Terhorst L, Nabasny A, Wallace T, Weaver JA, Osborne CL, Burns SP, Wright B, Wen P, Kew CN, Morris J. Use of mHealth Technology for Patient-Reported Outcomes in Community-Dwelling Adults with Acquired Brain Injuries: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(4):2173
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Hensher M, Cooper P, Dona SWA, Angeles MR, Nguyen D, Heynsbergh N, Chatterton ML, Peeters A. Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers. Journal of the American Medical Informatics Association 2021;28(6):1318
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Paul S, Tickell KD, Ojee E, Oduol C, Martin S, Singa B, Ickes S, Denno DM, Prazeres F. Knowledge, attitudes, and perceptions of Kenyan healthcare workers regarding pediatric discharge from hospital. PLOS ONE 2021;16(4):e0249569
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Connelly Y, Lotan R, Brzezinski Sinai Y, Rolls D, Beker A, Abensour E, Neudorfer O, Stocki D. Implementation of a Personalized Digital App for Pediatric Preanesthesia Evaluation and Education: Ongoing Usability Analysis and Dynamic Improvement Scheme. JMIR Formative Research 2022;6(5):e34129
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Rochat J, Ehrler F, Siebert JN, Ricci A, Garretas Ruiz V, Lovis C. Usability Testing of a Patient-Centered Mobile Health App for Supporting and Guiding the Pediatric Emergency Department Patient Journey: Mixed Methods Study. JMIR Pediatrics and Parenting 2022;5(1):e25540
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Lee H, Ahn JS, Lee JE. Development and Validation of a Questionnaire on the Feasibility of a Mobile Dietary Self-Monitoring Application. Korean Journal of Community Nutrition 2022;27(2):146
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Berkelhamer SK, McMillan DD, Amick E, Singhal N, Bose CL. Beyond Newborn Resuscitation: Essential Care for Every Baby and Small Babies. Pediatrics 2020;146(Supplement_2):S112
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Saha S, Lozano CP, Broyles S, Martin CK, Apolzan JW. Assessing the Initial Validity of the PortionSize App to Estimate Dietary Intake Among Adults: Pilot and Feasibility App Validation Study. JMIR Formative Research 2022;6(6):e38283
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Dougherty K, Hobensack M, Bakken S. Scoping review of health information technology usability methods leveraged in Africa. Journal of the American Medical Informatics Association 2022;
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Ciani O, Cucciniello M, Petracca F, Apolone G, Merlini G, Novello S, Pedrazzoli P, Zilembo N, Broglia C, Capelletto E, Garassino M, Nicod E, Tarricone R. Lung Cancer App (LuCApp) study protocol: a randomised controlled trial to evaluate a mobile supportive care app for patients with metastatic lung cancer. BMJ Open 2019;9(2):e025483
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Lozano CP, Canty EN, Saha S, Broyles ST, Beyl RA, Apolzan JW, Martin CK. Validity of an Artificial Intelligence-Based Application to Identify Foods and Estimate Energy Intake Among Adults: A Pilot Study. Current Developments in Nutrition 2023;7(11):102009
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Aboye GT, Vande Walle M, Simegn GL, Aerts J. mHealth in sub-Saharan Africa and Europe: A systematic review comparing the use and availability of mHealth approaches in sub-Saharan Africa and Europe. DIGITAL HEALTH 2023;9
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Aboye GT, Vande Walle M, Simegn GL, Aerts J. Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review. Health Policy and Technology 2023;12(4):100806
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Kwizera A, Kissoon N, Musa N, Urayeneza O, Mujyarugamba P, Patterson AJ, Harmon L, Farmer JC, Dünser MW, Meier J. A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting*. Pediatric Critical Care Medicine 2019;20(12):e524
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.5167):
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Nwankwor OC, Wiens MO, Kissoon N. Annual Update in Intensive Care and Emergency Medicine 2017. 2017. Chapter 34:431
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Chiou W, Lai S, Huang D. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. 2019. Chapter 2:23
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Wen T, Hsu C, Sun C, Jiang J, Juang J. Human Dynamics Research in Smart and Connected Communities. 2018. Chapter 7:133
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