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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Main Authors: Mohan Karunanithi, Farhad Fatehi, Nazli Bashi, Mahsa Mosadeghi-Nik, Marzieh S Askari
Format: Article
Language:English
Published: BMJ Publishing Group 2020-07-01
Series:BMJ Health & Care Informatics
Online Access:https://informatics.bmj.com/content/27/1/e100066.full
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spelling 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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