Evidence map›Paper›PMID 40360193›Full record

ArticleBJGP open2025

Quality indicators for lifestyle or behavioural management for the primary prevention of cardiovascular disease in primary care: a systematic review.

Kiran Bam, Beilei Lin, Muideen T Olaiya, Dominique A Cadilhac, Julie Redfern, Mark R Nelson, Lauren M Sanders, Nadine E Andrew, Vijaya Sundararajan, Lisa Murphy and 1 more

Abstract read
In one paragraph

Article in BJGP open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kiran BamStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.
Beilei LinStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.
Muideen T OlaiyaStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.
Dominique A CadilhacStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0001-8162-682X
Julie RedfernSchool of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Mark R NelsonMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Lauren M SandersDepartment of Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Australia.
Nadine E AndrewPeninsula Clinical School, School of Translational Medicine, Monash University, Frankston, Australia.
Vijaya SundararajanDepartment of Medicine, University of Melbourne, Parkville, Australia.
Lisa MurphyStroke Foundation, Melbourne, Australia.
Monique F KilkennyStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia Monique.Kilkenny@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring lifestyle or behavioural risk factors using quality indicators is critical for the primary prevention of cardiovascular disease (CVD).

aimTo summarise indicators for monitoring lifestyle risk factors for the primary prevention of CVD. DESIGN &

settingA systematic review of quality indicators in primary care.

methodFour research databases (Ovid MEDLINE, Ovid Embase, CINAHL Plus, and Scopus) and grey literature were searched to identify articles (indicator sets) used to monitor lifestyle risk factors. Articles were assessed for methodological quality using the Appraisal of Indicators through Research and Evaluation (AIRE) instrument. Articles with strong methodological quality, scoring ≥50% in each domain (that is, relevance, stakeholder involvement, scientific evidence, and usage) were included. Indicators were categorised into assessment of lifestyle risk factors or advice on healthy lifestyle.

resultsWe identified 39/282 (14%) articles including indicators to monitor lifestyle risk factors from a full-text review. Of these, 19 (49%) articles with strong methodological quality, comprising 90 unique indicators, were included. Most of the indicators were on assessing smoking status (21%), body weight (18%), advice on smoking cessation (13%), immunisation (9%), and advice on physical activity (8%). Assessment of alcohol consumption (3%) and healthy eating (2%) were the least reported. When comparing assessment versus advice indicators, we found gaps in monitoring smoking status (41% assessment versus 27% advice) and body weight (35% versus 14%). Notably, there were more indicators for advice on (16%) than assessment of (4%) healthy eating.

conclusionWe identified several indicators for the monitoring of lifestyle risk factors. However, there is a need to ensure an appropriate mix of indicators on assessment versus advice.

Indexed as

cardiovascular diseasescardiovascular risk factorsheart disease risk factorsprimary health careprimary preventionquality indicators

Identifiers

PMID40360193
PMCPMC12820491

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.