This paper is in the following e-collection/theme issue:

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Mobile Health (mhealth) (2939) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Human Factors and Usability Case Studies (787) Formative Studies and eHealth/mHealth Development (524) Usability of Apps and User Perceptions of mHealth (974) mHealth in a Clinical Setting (615) Usability Evaluation Case Studies (191)

Published on in Vol 4, No 1 (2016): Jan-Mar

The PAediatric Risk Assessment (PARA) Mobile App to Reduce Postdischarge Child Mortality: Design, Usability, and Feasibility for Health Care Workers in Uganda

The PAediatric Risk Assessment (PARA) Mobile App to Reduce Postdischarge Child Mortality: Design, Usability, and Feasibility for Health Care Workers in Uganda

The PAediatric Risk Assessment (PARA) Mobile App to Reduce Postdischarge Child Mortality: Design, Usability, and Feasibility for Health Care Workers in Uganda

Authors of this article:

L Lacey English1 Author Orcid Image ;   Dustin Dunsmuir2 Author Orcid Image ;   Elias Kumbakumba3 Author Orcid Image ;   J Mark Ansermino2 Author Orcid Image ;   Charles P Larson4 Author Orcid Image ;   Richard Lester5 Author Orcid Image ;   Celestine Barigye6 Author Orcid Image ;   Andrew Ndamira3 Author Orcid Image ;   Jerome Kabakyenga7 Author Orcid Image ;   Matthew O Wiens5 Author Orcid Image
Article Authors Cited by (30) Tweetations (10) Metrics

Journals

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  8. Fazzino T, Martin C, 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 View
  9. Rothstein J, Jennings L, Moorthy A, Yang F, Gee L, Romano K, Hutchful D, Labrique A, LeFevre A. 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 View
  10. Zhang J, Tüshaus L, Nuño Martínez N, Moreo M, Verastegui H, Hartinger S, 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 View
  11. Elahi C, Spears C, Williams S, Dunn T, Najjuma J, Staton C, Nickenig Vissoci J, Fuller A, Kitya D, Haglund M. 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 View
  12. Wiens M, Kumbakumba E, Larson C, Moschovis P, Barigye C, Kabakyenga J, Ndamira A, English L, Kissoon N, Zhou G, Ansermino J. 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 View
  13. Juengst S, Terhorst L, Nabasny A, Wallace T, Weaver J, Osborne C, Burns S, Wright B, Wen P, Kew C, 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 View
  14. Hensher M, Cooper P, Dona S, Angeles M, Nguyen D, Heynsbergh N, Chatterton M, 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 View
  15. Paul S, Tickell K, Ojee E, Oduol C, Martin S, Singa B, Ickes S, Denno D, Prazeres F. Knowledge, attitudes, and perceptions of Kenyan healthcare workers regarding pediatric discharge from hospital. PLOS ONE 2021;16(4):e0249569 View
  16. 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 View
  17. Rochat J, Ehrler F, Siebert J, 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 View
  18. Lee H, Ahn J, Lee J. 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 View
  19. Berkelhamer S, McMillan D, Amick E, Singhal N, Bose C. Beyond Newborn Resuscitation: Essential Care for Every Baby and Small Babies. Pediatrics 2020;146(Supplement_2):S112 View
  20. Saha S, Lozano C, Broyles S, Martin C, Apolzan J. 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 View
  21. 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 View
  22. 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 View
  23. Lozano C, Canty E, Saha S, Broyles S, Beyl R, Apolzan J, Martin C. 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 View
  24. Aboye G, Vande Walle M, Simegn G, 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 View
  25. Aboye G, Vande Walle M, Simegn G, 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 View
  26. Kwizera A, Kissoon N, Musa N, Urayeneza O, Mujyarugamba P, Patterson A, Harmon L, Farmer J, Dünser M, 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 View
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Books/Policy Documents

  1. Nwankwor O, Wiens M, Kissoon N. Annual Update in Intensive Care and Emergency Medicine 2017. View
  2. Chiou W, Lai S, Huang D. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. View
  3. Wen T, Hsu C, Sun C, Jiang J, Juang J. Human Dynamics Research in Smart and Connected Communities. View