Adoption, Acceptability, and Effectiveness of a Mobile Health App for Personalized Prostate Cancer Survivorship Care: Protocol for a Realist Case Study of the Ned App
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BACKGROUND: By 2030, prostate cancer will be the most commonly diagnosed cancer in North America. To mitigate this impending challenge, comprehensive support mechanisms for disease- and treatment-specific changes in health and well-being must be proactively designed and thoughtfully implemented for streamlined survivorship care. mHealth apps have been lauded as a promising complement to current outpatient treatment and monitoring strategies, but have not yet been widely used to support prostate cancer survivorship needs. A realist evaluation is needed to examine the impact of such apps on the prostate cancer survivorship experience. OBJECTIVE: We seek to gain an understanding of how an mHealth app for prostate cancer survivorship care called Ned (No Evident Disease) is adopted and accepted by patients, caregivers, and clinicians. We also aim to determine the effect of Ned on health-related quality of life, satisfaction with cancer care, unmet needs, self-efficacy, and prostate cancer-related levels of anxiety. METHODS: The Ned case study is a 12-month mixed-methods embedded single-case study with a nested within-group pre-post comparison of health outcomes. We will give 400 patients, 200 caregivers, and 10 clinicians access to Ned. Participants will be asked to complete study assessments at baseline, 2 months, 6 months, and 12 months. We will conduct 30 semistructured qualitative interviews with patients (n=20) and their caregivers (n=10) poststudy to gain insight into their experience with the app. RESULTS: We recruited our first survivor in October 2017 and anticipate completing this study by May 2019. CONCLUSIONS: This will, to our knowledge, be the first realist case study to evaluate an app for prostate cancer survivorship care. Prostate cancer survivors are set to increase in number and longevity, heightening the need for integrated survivorship solutions to provide them with optimal and durable outcomes. The knowledge gained from this study will comprehensively inform how and why Ned works, for whom, and in what circumstances. Understanding the impact of digital health interventions such as Ned on how survivors care for themselves is critical to realizing patient-centered care.
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Kuhn et al measured the number and content of pages visited by users in their PTSD self-management app, as did other researchers.
“Kuhn et al measured the number and content of pages visited by users in their app for PTSD self-management, as did other researchers [38,41,71].”
From A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review (2019) · cites this paper as [71]
Reviewed researchers measured time spent on unique sections, unique pages, length of a unique session, length between unique sessions, and total time spent on an app.
“Researchers measured the time spent on unique sections of an app [66], the time spent on unique pages [56], the length of a unique session [38,42,43,71], the length between unique sessions [72], and the total time spent on an app [62,68,73].”
From A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review (2019) · cites this paper as [71]
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O USO DO APLICATIVO DE SAÚDE PÚBLICA MÓVEL MEU DIGISUS
Souza, R. D. S., Ribeiro, W. M. R., & da Silva, P. P. (2020) · Revista Valore · doi:10.22408/reva402019379390-406 · Cited by 2 · see citing works
Mobile health may improve evaluation of lower urinary tract symptoms
Gomes, C. M., Moromizato, J. K. M., & Ribeiro, L. S. (2021) · International braz j urol · doi:10.1590/s1677-5538.ibju.2021.0211.1 · Cited by 2 · see citing works
Owens, O. L., Wooten, N. R., & Tavakoli, A. S. (2019) · BMC Medical Research Methodology · doi:10.1186/s12874-019-0776-y · Cited by 1 · see citing works
- Authors
- Pham, Q., Cafazzo, J. A., & Feifer, A.
- Affiliations
- University Health Network (CA)
- University of Toronto (CA)
- Venue
- JMIR Research Protocols
- Publisher
- JMIR Publications Inc.
- Published
- 2017-10-12
- Volume
- 6
- Issue
- 10
- Pages
- e197
- ISSN
- 1929-0748 (ISSN-L)
- PMC
- PMC5658643
- OpenAlex
- W2763516313
- Cited by
- 22
- References
- 69
- Citations by year
- 2025: 2 · 2023: 3 · 2022: 1 · 2021: 5 · 2020: 5 · 2019: 4 · 2018: 2
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Research Protocols (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- mobile health apps, technology adoption, acceptability, individualized care, health-related quality of life, unmet needs, self-efficacy, cancer-related anxiety, caregivers, clinicians, patient-centered care, digital health interventions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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