Read and accepted?: Scoping the cognitive accessibility of privacy policies of health apps and websites in three European countries Show others and affiliations
2023 (English) In: Digital Health, E-ISSN 2055-2076, Vol. 9Article in journal (Refereed) Published
Abstract [en]
Objective: Trust and accessibility are vital to adoption of health and wellness apps. This research scoped three elements of cognitive accessibility of health app privacy policies: availability, ease of navigation, and readability.
Methods: For this cross-sectional study, quantitative data collected in the Netherlands, Sweden, and the United Kingdom included: whether privacy information was in a country's official language (availability); number of distracting visual elements (ease of navigation); word count and Common European Framework of Reference (CEFR) reading level (readability). Health app privacy policies were compared to policies from a purposively selected sample of websites, and to benchmarks, including CEFR reading level B1.
Results: Health app privacy policies were less often available in countries’ official languages compared to sampled websites (Chi-Square [1, 180] = 57.470, p < 0.001) but contained fewer distracting visual elements. More UK privacy policies were in the country's official language, whereas Swedish privacy policies contained fewest words and fewest potentially distracting design elements. Only one privacy policy met the CEFR reading level benchmark.
Conclusions: Lack of privacy information in non-Anglophone app-users’ native languages and high reading levels may be major barriers to cognitive accessibility. Web and app developers should consider recommendations arising from this study, to stimulate trust in and adoption of health and wellness apps.
Place, publisher, year, edition, pages Sage Publications, 2023. Vol. 9
Keywords [en]
cognitive accessibility, digital health, Mobile device apps, privacy, universal design, adoption, article, cognition, controlled study, cross-sectional study, human, language, Netherlands, quantitative analysis, reading, Sweden, trust, United Kingdom
National Category
Public Health, Global Health and Social Medicine Computer and Information Sciences
Identifiers URN: urn:nbn:se:hj:diva-64096 DOI: 10.1177/20552076231152162 ISI: 001061084200001 PubMedID: 36698427 Scopus ID: 2-s2.0-85146794749 OAI: oai:DiVA.org:hj-64096 DiVA, id: diva2:1858005
2024-05-152024-05-152025-02-20 Bibliographically approved