Evidence map›Paper›PMID 32156751›Full record

ArticleBMJ health & care informatics2020

Digital health interventions for chronic diseases: a scoping review of evaluation frameworks.

Nazli Bashi, Farhad Fatehi, Mahsa Mosadeghi-Nik, Marzieh S Askari, Mohan Karunanithi

Abstract readScoping Review
In one paragraph

Article in BMJ health & care informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Digital Patient Experience: Umbrella Systematic Review.Journal of medical Internet research · 2022
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  20. Leveraging Trauma Informed Care for Digital Health Intervention Development in Opioid Use Disorder.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nazli BashiAustralian E-Health Research Center, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia ghafouryan@hotmail.com.
Farhad FatehiAustralian E-Health Research Center, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0001-9888-1966
Mahsa Mosadeghi-NikSchool of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Tehran, Iran (the Islamic Republic of).
Marzieh S AskariSchool of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Tehran, Iran (the Islamic Republic of).
Mohan KarunanithiAustralian E-Health Research Center, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

InternetChronic DiseaseEvidence-Based MedicineHumansPulmonary Disease, Chronic ObstructiveBMJ Health Informaticshealth caremedical informatics

Identifiers

PMID32156751
PMCPMC7252973

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.