Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study

Abstract BackgroundThe rapid proliferation of health apps has not been matched by a comparable growth in scientific evaluations of their effectiveness, particularly for apps available to the public. This gap has prompted ongoing debate about the types of evidence necessary to...

Full description

Saved in:
Bibliographic Details
Main Authors: Paulina Bondaronek, Jingfeng Li, Henry W W Potts
Format: Article
Language:English
Published: JMIR Publications 2025-01-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2025/1/e56523
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832584120291557376
author Paulina Bondaronek
Jingfeng Li
Henry W W Potts
author_facet Paulina Bondaronek
Jingfeng Li
Henry W W Potts
author_sort Paulina Bondaronek
collection DOAJ
description Abstract BackgroundThe rapid proliferation of health apps has not been matched by a comparable growth in scientific evaluations of their effectiveness, particularly for apps available to the public. This gap has prompted ongoing debate about the types of evidence necessary to validate health apps, especially as the perceived risk level varies from wellness tools to diagnostic aids. The perspectives of the general public, who are direct stakeholders, are notably underrepresented in discussions on digital health evidence generation. ObjectiveThis study aimed to explore public understanding and expectations regarding the evidence required to demonstrate health apps’ effectiveness, including at varying levels of health risk. MethodsA total of 4 focus group discussions were held with UK residents aged 18 years and older, recruited through targeted advertisements to ensure demographic diversity. Participants discussed their views on evidence requirements for 5 hypothetical health apps, ranging from low-risk wellness apps to high-risk diagnostic tools. Focus groups were moderated using a structured guide, and data were analyzed using reflexive thematic analysis to extract common themes. ResultsA total of 5 key themes were established: personal needs, app functionality, social approval, expectations of testing, and authority. Participants relied on personal experiences and social endorsements when judging the effectiveness of low-risk digital health interventions, while making minimal reference to traditional scientific evidence. However, as the perceived risk of an app increased, there was a noticeable shift toward preferring evidence from authoritative sources, such as government or National Health Service endorsements. ConclusionsThe public have a preference for evidence that resonates on a personal level, but also show a heightened demand for authoritative guidance as the potential risk of digital health interventions increases. These perspectives should guide developers, regulators, and policy makers as they balance how to achieve innovation, safety, and public trust in the digital health landscape. Engaging the public in evidence-generation processes and ensuring transparency in app functionality and testing can bridge the gap between public expectations and regulatory standards, fostering trust in digital health technologies.
format Article
id doaj-art-9d18ffc93eaa4a629cc21d227bcf158b
institution Kabale University
issn 2561-326X
language English
publishDate 2025-01-01
publisher JMIR Publications
record_format Article
series JMIR Formative Research
spelling doaj-art-9d18ffc93eaa4a629cc21d227bcf158b2025-01-27T16:03:26ZengJMIR PublicationsJMIR Formative Research2561-326X2025-01-019e56523e5652310.2196/56523Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group StudyPaulina Bondaronekhttp://orcid.org/0000-0003-0096-1234Jingfeng Lihttp://orcid.org/0009-0000-4270-7547Henry W W Pottshttp://orcid.org/0000-0002-6200-8804 Abstract BackgroundThe rapid proliferation of health apps has not been matched by a comparable growth in scientific evaluations of their effectiveness, particularly for apps available to the public. This gap has prompted ongoing debate about the types of evidence necessary to validate health apps, especially as the perceived risk level varies from wellness tools to diagnostic aids. The perspectives of the general public, who are direct stakeholders, are notably underrepresented in discussions on digital health evidence generation. ObjectiveThis study aimed to explore public understanding and expectations regarding the evidence required to demonstrate health apps’ effectiveness, including at varying levels of health risk. MethodsA total of 4 focus group discussions were held with UK residents aged 18 years and older, recruited through targeted advertisements to ensure demographic diversity. Participants discussed their views on evidence requirements for 5 hypothetical health apps, ranging from low-risk wellness apps to high-risk diagnostic tools. Focus groups were moderated using a structured guide, and data were analyzed using reflexive thematic analysis to extract common themes. ResultsA total of 5 key themes were established: personal needs, app functionality, social approval, expectations of testing, and authority. Participants relied on personal experiences and social endorsements when judging the effectiveness of low-risk digital health interventions, while making minimal reference to traditional scientific evidence. However, as the perceived risk of an app increased, there was a noticeable shift toward preferring evidence from authoritative sources, such as government or National Health Service endorsements. ConclusionsThe public have a preference for evidence that resonates on a personal level, but also show a heightened demand for authoritative guidance as the potential risk of digital health interventions increases. These perspectives should guide developers, regulators, and policy makers as they balance how to achieve innovation, safety, and public trust in the digital health landscape. Engaging the public in evidence-generation processes and ensuring transparency in app functionality and testing can bridge the gap between public expectations and regulatory standards, fostering trust in digital health technologies.https://formative.jmir.org/2025/1/e56523
spellingShingle Paulina Bondaronek
Jingfeng Li
Henry W W Potts
Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study
JMIR Formative Research
title Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study
title_full Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study
title_fullStr Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study
title_full_unstemmed Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study
title_short Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study
title_sort public understanding and expectations of digital health evidence generation focus group study
url https://formative.jmir.org/2025/1/e56523
work_keys_str_mv AT paulinabondaronek publicunderstandingandexpectationsofdigitalhealthevidencegenerationfocusgroupstudy
AT jingfengli publicunderstandingandexpectationsofdigitalhealthevidencegenerationfocusgroupstudy
AT henrywwpotts publicunderstandingandexpectationsofdigitalhealthevidencegenerationfocusgroupstudy