Evidence map›Paper›PMID 26243144›Full record

Trial reportBMC family practice2015

A randomised trial assessing the acceptability and effectiveness of providing generic versus tailored feedback about health risks for a high need primary care sample.

Natasha Noble, Christine Paul, Mariko Carey, Stephen Blunden, Nicole Turner

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC family practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effectiveness, feasibility, and acceptability of behaviour change tools used by family doctors: a global systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Pooled it
  2. Review
  3. Review
  4. Article
  5. 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

5 authors.

Natasha NoblePriority Research Centre for Health Behaviour and School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia. Natasha.Noble@newcastle.edu.au.
Christine PaulPriority Research Centre for Health Behaviour and School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia. Chris.Paul@newcastle.edu.au.
Mariko CareyPriority Research Centre for Health Behaviour and School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, 2308, Australia. Mariko.Carey@newcastle.edu.au.
Stephen BlundenCasino Aboriginal Medical Service, Casino, NSW, 2470, Australia. sblunden@casinoams.com.
Nicole TurnerSchool of Medicine and Public Health and Department of Rural Health, University of Newcastle, Callaghan, NSW, 2308, Australia. Nicole.Turner@newcastle.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTailored feedback has been shown to be effective for modifying health risk behaviours and may aid the provision of preventive care by general practitioners (GPs). However, provision of tailored patient feedback for vulnerable or socially disadvantaged groups is not well explored. The aims of this study were to examine the acceptability and effectiveness of providing generic compared to tailored feedback on self-reported health risk behaviours among a high need sample of people attending an Aboriginal Community Controlled Health Service (ACCHS).

methodsParticipants attending two ACCHSs in regional New South Wales completed a touch screen health risk survey and received either generic or tailored health risk feedback. Participants were asked to complete an exit survey after their appointment. The exit survey asked about feedback acceptability and effectiveness. Self-reported ease of understanding, relevance and whether the generic versus tailored feedback helped patients talk to their GP was compared using Chi-square analysis; The mean number of survey health risks talked about or for which additional actions were undertaken (such as provision of lifestyle advice or referral) was compared using t-tests.

resultsEighty seven participants (36 % consent rate) completed the exit survey. Tailored feedback was rated as more relevant and was more likely to be shown to the participant's GP than generic feedback. There was no difference in the mean number of health risk topics discussed or number of additional actions taken by the GP by type of feedback.

conclusionsTailored and generic feedback showed no difference in effectiveness, and little difference in acceptability, among this socially disadvantaged population. Completing a health risk survey and receiving any type of feedback may have overwhelmed more subtle differences in outcomes between the generic and the tailored feedback. Future work to rigorously evaluate the longer-term effectiveness of the provision of tailored health risk feedback for Aboriginal Australians, as well as other high need groups, is still needed.

trial registrationAustralian New Zealand Clinical Trials Registry ANZCTRN12614001205628. Registered 11 November 2014.

Indexed as

Formative FeedbackHealth BehaviorHealth Services, IndigenousRisk-TakingAdolescentAdultAgedAged, 80 and overCommunity Health ServicesFemaleGeneral PracticeHealth SurveysHumansMaleMiddle AgedNew South Wales

Identifiers

PMID26243144
PMCPMC4525725

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.