Literature DB >> 23450534

Personalised risk communication for informed decision making about taking screening tests.

Adrian G K Edwards1, Gurudutt Naik, Harry Ahmed, Glyn J Elwyn, Timothy Pickles, Kerry Hood, Rebecca Playle.   

Abstract

BACKGROUND: There is a trend towards greater patient involvement in healthcare decisions. Although screening is usually perceived as good for the health of the population, there are risks associated with the tests involved. Achieving both adequate involvement of consumers and informed decision making are now seen as important goals for screening programmes. Personalised risk estimates have been shown to be effective methods of risk communication.
OBJECTIVES: To assess the effects of personalised risk communication on informed decision making by individuals taking screening tests. We also assess individual components that constitute informed decisions. SEARCH
METHODS: Two authors searched the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library, Issue 3, 2012), MEDLINE (OvidSP), EMBASE (OvidSP), CINAHL (EbscoHOST) and PsycINFO (OvidSP) without language restrictions. We searched from 2006 to March 2012. The date ranges for the previous searches were from 1989 to December 2005 for PsycINFO and from 1985 to December 2005 for other databases. For the original version of this review, we also searched CancerLit  and Science Citation Index (March 2001). We also reviewed the reference lists and conducted citation searches of included studies and other systematic reviews in the field, to identify any studies missed during the initial search. SELECTION CRITERIA: Randomised controlled trials incorporating an intervention with a 'personalised risk communication element' for individuals undergoing screening procedures, and reporting measures of informed decisions and also cognitive, affective, or behavioural outcomes addressing the decision by such individuals, of whether or not to undergo screening. DATA COLLECTION AND ANALYSIS: Two authors independently assessed each included trial for risk of bias, and extracted data. We extracted data about the nature and setting of interventions, and relevant outcome data. We used standard statistical methods to combine data using RevMan version 5, including analysis according to different levels of detail of personalised risk communication, different conditions for screening, and studies based only on high-risk participants rather than people at 'average' risk. MAIN
RESULTS: We included 41 studies involving 28,700 people. Nineteen new studies were identified in this update, adding to the 22 studies included in the previous two iterations of the review. Three studies measured informed decision with regard to the uptake of screening following personalised risk communication as a part of their intervention. All of these three studies were at low risk of bias and there was strong evidence that the interventions enhanced informed decision making, although with heterogeneous results. Overall 45.2% (592/1309) of participants who received personalised risk information made informed choices, compared to 20.2% (229/1135) of participants who received generic risk information. The overall odds ratios (ORs) for informed decision were 4.48 (95% confidence interval (CI) 3.62 to 5.53 for fixed effect) and 3.65 (95% CI 2.13 to 6.23 for random effects). Nine studies measured increase in knowledge, using different scales. All of these studies showed an increase in knowledge with personalised risk communication. In three studies the interventions showed a trend towards more accurate risk perception, but the evidence was of poor quality. Four out of six studies reported non-significant changes in anxiety following personalised risk communication to the participants. Overall there was a small non-significant decrease in the anxiety scores. Most studies (32/41) measured the uptake of screening tests following interventions. Our results (OR 1.15 (95% CI 1.02 to 1.29)) constitute low quality evidence, consistent with a small effect, that personalised risk communication in which a risk score was provided (6 studies) or the participants were given their categorised risk (6 studies), increases uptake of screening tests. AUTHORS'
CONCLUSIONS: There is strong evidence from three trials that personalised risk estimates incorporated within communication interventions for screening programmes enhance informed choices. However the evidence for increasing the uptake of such screening tests with similar interventions is weak, and it is not clear if this increase is associated with informed choices. Studies included a diverse range of screening programmes. Therefore, data from this review do not allow us to draw conclusions about the best interventions to deliver personalised risk communication for enhancing informed decisions. The results are dominated by findings from the topic area of mammography and colorectal cancer. Caution is therefore required in generalising from these results, and particularly for clinical topics other than mammography and colorectal cancer screening.

Entities:  

Mesh:

Year:  2013        PMID: 23450534      PMCID: PMC6464864          DOI: 10.1002/14651858.CD001865.pub3

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  132 in total

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8.  A randomized trial of breast cancer risk counseling: the impact on self-reported mammography use.

Authors:  M D Schwartz; B K Rimer; M Daly; C Sands; C Lerman
Journal:  Am J Public Health       Date:  1999-06       Impact factor: 9.308

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  74 in total

1.  Effects of personalized colorectal cancer risk information on laypersons' interest in colorectal cancer screening: The importance of individual differences.

Authors:  Paul K J Han; Christine W Duarte; Susannah Daggett; Andrea Siewers; Bill Killam; Kahsi A Smith; Andrew N Freedman
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2.  Promoting guideline-based cancer genetic risk assessment for hereditary breast and ovarian cancer in ethnically and geographically diverse cancer survivors: Rationale and design of a 3-arm randomized controlled trial.

Authors:  Anita Y Kinney; Rachel Howell; Rachel Ruckman; Jean A McDougall; Tawny W Boyce; Belinda Vicuña; Ji-Hyun Lee; Dolores D Guest; Randi Rycroft; Patricia A Valverde; Kristina M Gallegos; Angela Meisner; Charles L Wiggins; Antoinette Stroup; Lisa E Paddock; Scott T Walters
Journal:  Contemp Clin Trials       Date:  2018-09-18       Impact factor: 2.226

3.  Risk estimation, anxiety, and breast cancer worry in women at risk for breast cancer: A single-arm trial of personalized risk communication.

Authors:  Zhuoer Xie; Neil Wenger; Annette L Stanton; Karen Sepucha; Celia Kaplan; Lisa Madlensky; David Elashoff; Jacqueline Trent; Antonia Petruse; Liliana Johansen; Tracy Layton; Arash Naeim
Journal:  Psychooncology       Date:  2019-09-02       Impact factor: 3.894

4.  My Lived Experiences Are More Important Than Your Probabilities: The Role of Individualized Risk Estimates for Decision Making about Participation in the Study of Tamoxifen and Raloxifene (STAR).

Authors:  Christine Holmberg; Erika A Waters; Katie Whitehouse; Mary Daly; Worta McCaskill-Stevens
Journal:  Med Decis Making       Date:  2015-07-16       Impact factor: 2.583

5.  Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History.

Authors:  Dayna R Cenin; Steffie K Naber; Anne C de Weerdt; Mark A Jenkins; David B Preen; Hooi C Ee; Peter C O'Leary; Iris Lansdorp-Vogelaar
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-11-20       Impact factor: 4.254

6.  Using an Internet-Based Breast Cancer Risk Assessment Tool to Improve Social-Cognitive Precursors of Physical Activity.

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7.  Communication Among Melanoma Family Members.

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8.  Risk Stratification and Shared Decision Making for Colorectal Cancer Screening: A Randomized Controlled Trial.

Authors:  Paul C Schroy; Emir Duhovic; Clara A Chen; Timothy C Heeren; William Lopez; Danielle L Apodaca; John B Wong
Journal:  Med Decis Making       Date:  2016-01-19       Impact factor: 2.583

Review 9.  Key Elements of Mammography Shared Decision-Making: a Scoping Review of the Literature.

Authors:  Lori L DuBenske; Sarina B Schrager; Mary E Hitchcock; Amanda K Kane; Terry A Little; Helene E McDowell; Elizabeth S Burnside
Journal:  J Gen Intern Med       Date:  2018-07-20       Impact factor: 5.128

Review 10.  Does colorectal cancer risk perception predict screening behavior? A systematic review and meta-analysis.

Authors:  Thomas M Atkinson; Talya Salz; Kaitlin K Touza; Yuelin Li; Jennifer L Hay
Journal:  J Behav Med       Date:  2015-08-18
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