Literature DB >> 18644068

The impact of different time frames of risk communication on Type 2 diabetes patients' understanding and memory for risk of coronary heart disease and stroke.

K G Asimakopoulou1, C Fox, J Spimpolo, S Marsh, T C Skinner.   

Abstract

AIMS: We examined the impact of communicating risk of coronary heart disease (CHD) and stroke, using three time frames (1, 5 or 10 years), on Type 2 diabetic (T2D) patients' understanding of risk of CHD/stroke and their memory for these risks.
METHODS: Patients (N = 95) estimated their risk of developing CHD/having a stroke as a result of diabetes, in one of three time frames. Using the United Kingdom Prospective Diabetes Study Risk Engine and the same time frame, patients were then given individualized, objective risk estimates of developing CHD/stroke. Following explanation of these risks, patients' risk understanding was examined by asking them to report again their risk of developing CHD/stroke. Six weeks later we assessed patient memory for these risks by asking them to recall their actual risk estimates for CHD/stroke.
RESULTS: In all time frames, we successfully reduced participants' originally inflated risk perceptions of CHD (F(1,92) = 73.01, P < 0.001) and stroke (F(1,91) = 119.05, P < 0.001), although the 10-year risk group was the most resistant to correction for both CHD (F(1,90) = 9.32, P < 0.001) and stroke (F(2,88) = 3.97, P < 0.02). Participants' recall of their stroke risk at 6 weeks regressed towards original, inflated risk perceptions for the 10-year group only (F(4,176) = 4.73, P < 0.001).
CONCLUSION: Patients' inflated perceptions of CHD/stroke risk can be easily corrected using shorter (1- or 5-year) risk communication time frames.

Entities:  

Mesh:

Year:  2008        PMID: 18644068     DOI: 10.1111/j.1464-5491.2008.02473.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  10 in total

1.  The perceived acceptability of the DEPPA patient assessment tool: A questionnaire survey of Denplan Excel patients.

Authors:  J T Newton; K Asimakopoulou
Journal:  Br Dent J       Date:  2017-05-26       Impact factor: 1.626

2.  The @RISK Study: Risk communication for patients with type 2 diabetes: design of a randomised controlled trial.

Authors:  Laura M C Welschen; Sandra D M Bot; Jacqueline M Dekker; Daniëlle R M Timmermans; Trudy van der Weijden; Giel Nijpels
Journal:  BMC Public Health       Date:  2010-08-05       Impact factor: 3.295

3.  An Intuitive Risk Communication Tool to Enhance Patient-Provider Partnership in Diabetes Consultation.

Authors:  Thomas Rouyard; José Leal; Dario Salvi; Richard Baskerville; Carmelo Velardo; Alastair Gray
Journal:  J Diabetes Sci Technol       Date:  2021-03-03

Review 4.  Perceptions of risks for diabetes-related complications in Type 2 diabetes populations: a systematic review.

Authors:  T Rouyard; S Kent; R Baskerville; J Leal; A Gray
Journal:  Diabet Med       Date:  2016-11-29       Impact factor: 4.359

5.  Risk accuracy of type 2 diabetes in middle aged adults: Associations with sociodemographic, clinical, psychological and behavioural factors.

Authors:  Barbora Silarova; Fiona E Douglas; Juliet A Usher-Smith; Job G Godino; Simon J Griffin
Journal:  Patient Educ Couns       Date:  2017-07-21

6.  Nudging people with Type 2 diabetes towards better self-management through personalized risk communication: A pilot randomized controlled trial in primary care.

Authors:  Thomas Rouyard; Jose Leal; Richard Baskerville; Carmelo Velardo; Dario Salvi; Alastair Gray
Journal:  Endocrinol Diabetes Metab       Date:  2018-06-22

7.  Do Preferred Risk Formats Lead to Better Understanding? A Multicenter Controlled Trial on Communicating Familial Breast Cancer Risks Using Different Risk Formats.

Authors:  Lidewij Henneman; Christi J van Asperen; Jan C Oosterwijk; Fred H Menko; Liesbeth Claassen; Daniëlle Rm Timmermans
Journal:  Patient Prefer Adherence       Date:  2020-02-19       Impact factor: 2.711

Review 8.  Risky business: a scoping review for communicating results of predictive models between providers and patients.

Authors:  Colin G Walsh; Mollie M McKillop; Patricia Lee; Joyce W Harris; Christopher Simpson; Laurie Lovett Novak
Journal:  JAMIA Open       Date:  2021-11-12

9.  Effects of cardiovascular disease risk communication for patients with type 2 diabetes on risk perception in a randomized controlled trial: the @RISK study.

Authors:  Laura M C Welschen; Sandra D M Bot; Piet J Kostense; Jacqueline M Dekker; Daniëlle R M Timmermans; Trudy van der Weijden; Giel Nijpels
Journal:  Diabetes Care       Date:  2012-08-24       Impact factor: 19.112

Review 10.  Impact of provision of cardiovascular disease risk estimates to healthcare professionals and patients: a systematic review.

Authors:  Juliet A Usher-Smith; Barbora Silarova; Ewoud Schuit; Karel G M Moons; Simon J Griffin
Journal:  BMJ Open       Date:  2015-10-26       Impact factor: 2.692

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.