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What patients want to ask their doctors: Data analysis from Question Builder, an online question prompt list tool
- Source :
- Patient Education and Counseling. 103:937-943
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Objectives Question prompt lists (QPLs) are one strategy to increase patient participation in healthcare decisions but the extent to which consumers might access them in the ‘real world’ is largely unknown. This study measured usage of a passively-promoted, government-funded web-based patient-generated QPL tool, called Question Builder (Australia) (QB) hosted on healthdirect.gov.au, a consumer health information website. Methods 12.5months of post-launch Google Analytics data from QB were analysed. Two existing coding frameworks (RIAS and ACEPP) were used to code QB questions thematically and 107 user-generated lists were analysed further to determine the questions chosen and prioritised. Results QB was accessed 8915 times, 4000 question lists were commenced and 1271 lists completed. Most lists were for general practice (GP) consultations (2444) rather than specialist consultations (1556). The most frequently chosen question was “Do I need any tests?”. Shared decision-making questions (SDM) made up 40% of questions prioritised e.g. “Do I need any treatment and what are my treatment options?” Conclusions There is active use of this online QPL, with strong interest in creating lists for GP consultations. Question Builder users prioritised questions which facilitate SDM. Practice Implications More research is required to assess the utilisation of QB in practice and health professionals’ views of QB.
- Subjects :
- Adult
Male
Internet privacy
Code (semiotics)
03 medical and health sciences
0302 clinical medicine
Physicians
Health care
Humans
030212 general & internal medicine
Patient participation
Referral and Consultation
Physician-Patient Relations
business.industry
Communication
030503 health policy & services
Consumer health
Treatment options
General Medicine
Ask price
Analytics
Female
Patient Participation
0305 other medical science
business
Psychology
Coding (social sciences)
Subjects
Details
- ISSN :
- 07383991
- Volume :
- 103
- Database :
- OpenAIRE
- Journal :
- Patient Education and Counseling
- Accession number :
- edsair.doi.dedup.....4e9bcf585107398cca032003a0f25959
- Full Text :
- https://doi.org/10.1016/j.pec.2019.11.023