Digital health interventions for chronic diseases: a scoping review of evaluation frameworks
BackgroundMonitoring and evaluations of digital health (DH) solutions for the management of chronic diseases are quite heterogeneous and evidences around evaluating frameworks are inconsistent. An evidenced-based framework is needed to inform the evaluation process and rationale of such intervention...
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doaj-fa3a32f79f284329ba8d5ccf431d518d2020-12-14T15:13:52ZengBMJ Publishing GroupBMJ Health & Care Informatics2632-10092020-07-0127110.1136/bmjhci-2019-100066Digital health interventions for chronic diseases: a scoping review of evaluation frameworksMohan KarunanithiFarhad FatehiNazli BashiMahsa Mosadeghi-NikMarzieh S AskariBackgroundMonitoring and evaluations of digital health (DH) solutions for the management of chronic diseases are quite heterogeneous and evidences around evaluating frameworks are inconsistent. An evidenced-based framework is needed to inform the evaluation process and rationale of such interventions. We aimed to explore the nature, extent and components of existing DH frameworks for chronic diseases.MethodsThis review was conducted based on the five steps of Arksey and O’Malley’s scoping review methodology. Out of 172 studies identified from, PubMed, Embase and Web of Science, 11 met our inclusion criteria. The reviewed studies developed DH frameworks for chronic diseases and published between 2010 and 2018.ResultsAccording to WHO guidelines for monitoring and evaluation of DH interventions, we identified seven Conceptual frameworks, two Results frameworks, one Logical framework and one Theory of change. The frameworks developed for providing interventions such as self-management, achieving personal goals and reducing relapse for cardiovascular disease, diabetes, chronic obstructive pulmonary disease and severe mental health. A few studies reported evaluation of the frameworks using randomised clinical trials (n=3) and feasibility testing via Likert scale survey (n=2). A wide range of outcomes were reported including access to care, cost-effectiveness, behavioural outcomes, patient–provider communications, technology acceptance and user experience.ConclusionThere is a lack of evidence on the application of consistent DH frameworks. Future research should address the use of evidence-based frameworks into the research design, monitoring and evaluation process. This review explores the nature of DH frameworks for the management of chronic diseases and provides examples to guide monitoring and evaluation of interventions.https://informatics.bmj.com/content/27/1/e100066.full |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohan Karunanithi Farhad Fatehi Nazli Bashi Mahsa Mosadeghi-Nik Marzieh S Askari |
spellingShingle |
Mohan Karunanithi Farhad Fatehi Nazli Bashi Mahsa Mosadeghi-Nik Marzieh S Askari Digital health interventions for chronic diseases: a scoping review of evaluation frameworks BMJ Health & Care Informatics |
author_facet |
Mohan Karunanithi Farhad Fatehi Nazli Bashi Mahsa Mosadeghi-Nik Marzieh S Askari |
author_sort |
Mohan Karunanithi |
title |
Digital health interventions for chronic diseases: a scoping review of evaluation frameworks |
title_short |
Digital health interventions for chronic diseases: a scoping review of evaluation frameworks |
title_full |
Digital health interventions for chronic diseases: a scoping review of evaluation frameworks |
title_fullStr |
Digital health interventions for chronic diseases: a scoping review of evaluation frameworks |
title_full_unstemmed |
Digital health interventions for chronic diseases: a scoping review of evaluation frameworks |
title_sort |
digital health interventions for chronic diseases: a scoping review of evaluation frameworks |
publisher |
BMJ Publishing Group |
series |
BMJ Health & Care Informatics |
issn |
2632-1009 |
publishDate |
2020-07-01 |
description |
BackgroundMonitoring and evaluations of digital health (DH) solutions for the management of chronic diseases are quite heterogeneous and evidences around evaluating frameworks are inconsistent. An evidenced-based framework is needed to inform the evaluation process and rationale of such interventions. We aimed to explore the nature, extent and components of existing DH frameworks for chronic diseases.MethodsThis review was conducted based on the five steps of Arksey and O’Malley’s scoping review methodology. Out of 172 studies identified from, PubMed, Embase and Web of Science, 11 met our inclusion criteria. The reviewed studies developed DH frameworks for chronic diseases and published between 2010 and 2018.ResultsAccording to WHO guidelines for monitoring and evaluation of DH interventions, we identified seven Conceptual frameworks, two Results frameworks, one Logical framework and one Theory of change. The frameworks developed for providing interventions such as self-management, achieving personal goals and reducing relapse for cardiovascular disease, diabetes, chronic obstructive pulmonary disease and severe mental health. A few studies reported evaluation of the frameworks using randomised clinical trials (n=3) and feasibility testing via Likert scale survey (n=2). A wide range of outcomes were reported including access to care, cost-effectiveness, behavioural outcomes, patient–provider communications, technology acceptance and user experience.ConclusionThere is a lack of evidence on the application of consistent DH frameworks. Future research should address the use of evidence-based frameworks into the research design, monitoring and evaluation process. This review explores the nature of DH frameworks for the management of chronic diseases and provides examples to guide monitoring and evaluation of interventions. |
url |
https://informatics.bmj.com/content/27/1/e100066.full |
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