↓ Skip to main content

A health app developer’s guide to law and policy: a multi-sector policy analysis

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

policy
1 policy source
twitter
12 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
171 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A health app developer’s guide to law and policy: a multi-sector policy analysis
Published in
BMC Medical Informatics and Decision Making, October 2017
DOI 10.1186/s12911-017-0535-0
Pubmed ID
Authors

Lisa Parker, Tanya Karliychuk, Donna Gillies, Barbara Mintzes, Melissa Raven, Quinn Grundy

Abstract

Apps targeted at health and wellbeing sit in a rapidly growing industry associated with widespread optimism about their potential to deliver accessible and cost-effective healthcare. App developers might not be aware of all the regulatory requirements and best practice principles are emergent. Health apps are regulated in order to minimise their potential for harm due to, for example, loss of personal health privacy, financial costs, and health harms from delayed or unnecessary diagnosis, monitoring and treatment. We aimed to produce a comprehensive guide to assist app developers in producing health apps that are legally compliant and in keeping with high professional standards of user protection. We conducted a case study analysis of the Australian and related international policy environment for mental health apps to identify relevant sectors, policy actors, and policy solutions. We identified 29 policies produced by governments and non-government organisations that provide oversight of health apps. In consultation with stakeholders, we developed an interactive tool targeted at app developers, summarising key features of the policy environment and highlighting legislative, industry and professional standards around seven relevant domains: privacy, security, content, promotion and advertising, consumer finances, medical device efficacy and safety, and professional ethics. We annotated this developer guidance tool with information about: the relevance of each domain; existing legislative and non-legislative guidance; critiques of existing policy; recommendations for developers; and suggestions for other key stakeholders. We anticipate that mental health apps developed in accordance with this tool will be more likely to conform to regulatory requirements, protect consumer privacy, protect consumer finances, and deliver health benefit; and less likely to attract regulatory penalties, offend consumers and communities, mislead consumers, or deliver health harms. We encourage government, industry and consumer organisations to use and publicise the tool.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 171 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 13%
Student > Ph. D. Student 18 11%
Student > Bachelor 17 10%
Other 14 8%
Student > Doctoral Student 12 7%
Other 29 17%
Unknown 58 34%
Readers by discipline Count As %
Computer Science 22 13%
Medicine and Dentistry 20 12%
Social Sciences 16 9%
Nursing and Health Professions 11 6%
Psychology 9 5%
Other 27 16%
Unknown 66 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2021.
All research outputs
#3,211,736
of 23,005,189 outputs
Outputs from BMC Medical Informatics and Decision Making
#272
of 2,007 outputs
Outputs of similar age
#62,254
of 322,939 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 22 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,007 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.