Literature DB >> 31558486

How effective are 'age' tools at changing patient behaviour? A rapid review.

Bavidra Kulendrarajah1, Adam Grey2, David Nunan2.   

Abstract

BACKGROUND: A common form of risk communication is to relay the relative risk (%) of an adverse outcome based on surrogate markers associated with the outcome. A novel way of communicating risk is through 'effective age' of a person or specific organ. These tools can be used to change patient behaviour.
OBJECTIVE: To determine the effect of 'effective age' tools on patient behaviour as compared with more traditional methods of risk communication. STUDY SELECTION: We performed a search of the PubMed database up to February 2019 for systematic reviews and randomised controlled trials (RCT) that answered our question. Interventions were 'effective age' tools, comparators were usual care or alternative risk communication tools. Primary outcomes were behavioural change measures.
FINDINGS: We included 1 overview of systematic reviews (level 1 evidence), 2 systematic reviews (level 1 evidence) and 13 RCTs (level 2 evidence). Both systematic reviews concluded the evidence base was not conclusive enough to make specific recommendations.Age tools assessed in the 13 RCTs were: 'lung age' (n=5), 'heart age' (n=3), 'health age' (n=2), 'cardiovascular age' (n=1), 'body age' (n=1) and 'net present value' (n=1). 7/13 (54%) RCTs demonstrated a clinical effect on behaviour change favouring the 'age' tool; 2/13 (15%) demonstrated a null effect; 4/13 (31%) favoured control.
CONCLUSIONS: Our findings indicate that systematic review evidence needs updating. The evidence from RCTs on the effect of using age metrics on patient behaviour is poor. There is a need for high-quality trials to decrease uncertainty in the available evidence. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

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Year:  2019        PMID: 31558486     DOI: 10.1136/bmjebm-2019-111244

Source DB:  PubMed          Journal:  BMJ Evid Based Med        ISSN: 2515-446X


  4 in total

1.  The Impact of Health Literacy-Sensitive Design and Heart Age in a Cardiovascular Disease Prevention Decision Aid: Randomized Controlled Trial and End-User Testing.

Authors:  Carissa Bonner; Carys Batcup; Julie Ayre; Erin Cvejic; Lyndal Trevena; Kirsten McCaffery; Jenny Doust
Journal:  JMIR Cardio       Date:  2022-04-15

2.  A qualitative exploration of two risk calculators using video-recorded NHS health check consultations.

Authors:  Victoria Riley; Naomi J Ellis; Lisa Cowap; Sarah Grogan; Elizabeth Cottrell; Diane Crone; Ruth Chambers; David Clark-Carter; Sophia Fedorowicz; Christopher Gidlow
Journal:  BMC Fam Pract       Date:  2020-12-03       Impact factor: 2.497

Review 3.  Interventions Using Heart Age for Cardiovascular Disease Risk Communication: Systematic Review of Psychological, Behavioral, and Clinical Effects.

Authors:  Carissa Bonner; Carys Batcup; Samuel Cornell; Michael Anthony Fajardo; Anna L Hawkes; Lyndal Trevena; Jenny Doust
Journal:  JMIR Cardio       Date:  2021-11-05

4.  Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey.

Authors:  Carissa Bonner; Natalie Raffoul; Tanya Battaglia; Julie Anne Mitchell; Carys Batcup; Bill Stavreski
Journal:  J Med Internet Res       Date:  2020-08-07       Impact factor: 5.428

  4 in total

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