ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2015
Patient reactions to a web-based cardiovascular risk calculator in type 2 diabetes: a qualitative study in primary care.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 39 citations in OpenAlex.
- Mismatch between self-perceived and calculated cardiometabolic disease risk among participants in a prevention program for cardiometabolic disease: a cross-sectional study.BMC public health · 2020Trial
- A randomised controlled trial of the effect of providing online risk information and lifestyle advice for the most common preventable cancers: study protocol.BMC public health · 2018Trial
- Time-to-event versus ten-year-absolute-risk in cardiovascular risk prevention - does it make a difference? Results from the Optimizing-Risk-Communication (OptRisk) randomized-controlled trial.BMC medical informatics and decision making · 2016Trial
- Artificial Intelligence for Management of Major Depression: Initial Design, Progress, and Research Plans.Alpha psychiatry · 2025Article
- Codesigning a Digital Type 2 Diabetes Risk Communication Tool in Singapore: Qualitative Participatory Action Research Approach.JMIR formative research · 2024Article
- Acceptability and optimisation of resources to support antidepressant cessation: a qualitative think-aloud study with patients in Australian primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024Article
- From Chronic Health Condition to Disability Identity: Opportunities for Health Informatics Engagement.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Effects of message framing and risk perception on health communication for optimum cardiovascular disease primary prevention: a protocol for a multicenter randomized controlled study.Frontiers in public health · 2024Article
- Translating and piloting a cardiovascular risk assessment and management online tool using mobile technology.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023Article
- Non-participation in a targeted prevention program aimed at lifestyle-related diseases: a questionnaire-based assessment of patient-reported reasons.BMC public health · 2022Article
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- Impact of the Use of Electronic Health Tools on the Psychological and Emotional Well-Being of Electronic Health Service Users (The Seventh Tromsø Study - Part 3): Population-Based Questionnaire Study.Journal of medical Internet research · 2020Article
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- Proactive approaches to identifying dementia and dementia risk; a qualitative study of public attitudes and preferences.BMJ open · 2018Article
- Responses to provision of personalised cancer risk information: a qualitative interview study with members of the public.BMC public health · 2017Article
- How lay people understand and make sense of personalized disease risk information.Health expectations : an international journal of public participation in health care and health policy · 2017Article
- Article
- Google Trends can improve surveillance of Type 2 diabetes.Scientific reports · 2017Article
- Individualized risk prediction of outcomes for oral cavity cancer patients.Oral oncology · 2016Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundUse of risk calculators for specific diseases is increasing, with an underlying assumption that they promote risk reduction as users become better informed and motivated to take preventive action. Empirical data to support this are, however, sparse and contradictory.
aimTo explore user reactions to a cardiovascular risk calculator for people with type 2 diabetes. Objectives were to identify cognitive and emotional reactions to the presentation of risk, with a view to understanding whether and how such a calculator could help motivate users to adopt healthier behaviours and/or improve adherence to medication. DESIGN AND
settingQualitative study combining data from focus groups and individual user experience. Adults with type 2 diabetes were recruited through website advertisements and posters displayed at local GP practices and diabetes groups.
methodParticipants used a risk calculator that provided individualised estimates of cardiovascular risk. Estimates were based on UK Prospective Diabetes Study (UKPDS) data, supplemented with data from trials and systematic reviews. Risk information was presented using natural frequencies, visual displays, and a range of formats. Data were recorded and transcribed, then analysed by a multidisciplinary group.
resultsThirty-six participants contributed data. Users demonstrated a range of complex cognitive and emotional responses, which might explain the lack of change in health behaviours demonstrated in the literature.
conclusionCardiovascular risk calculators for people with diabetes may best be used in conjunction with health professionals who can guide the user through the calculator and help them use the resulting risk information as a source of motivation and encouragement.
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Registered trials
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.