Evidence map›Paper›PMID 36450426›Full record

Trial reportBMJ open2022

Preventing chronic disease in overweight and obese patients with low health literacy using eHealth and teamwork in primary healthcare (HeLP-GP): a cluster randomised controlled trial.

Sharon M Parker, Margo Barr, Nigel Stocks, Elizabeth Denney-Wilson, Nicholas Zwar, Jon Karnon, Alamgir Kabir, Don Nutbeam, Jackie Roseleur, Siaw-Teng Liaw and 6 more

Abstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 6 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

18 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Pooled it
  6. Pooled it
  7. Trial
  8. Review
  9. Article
  10. Article
  11. eHealth Literacy Interventions: Scoping Review.Interactive journal of medical research · 2025
    Review
  12. Article
  13. Health literacy and obesity: A systematic scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Article
  14. Article
  15. A scoping review of digital health applications for managing noncommunicable diseases in primary care post-pandemic: Lessons from the Western Pacific Region.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2025
    Review
  16. Article
  17. Review
  18. 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

16 authors.

Sharon M ParkerCentre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0001-7904-6420
Margo BarrCentre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-3007-0216
Nigel StocksDiscipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0002-9018-0361
Elizabeth Denney-WilsonSydney Nursing School, University of Sydney, Sydney, New South Wales, Australia.
Nicholas ZwarHealth Sciences & Medicine, Bond University, Gold Coast, Queensland, Australia.
Jon KarnonFlinders Medical Research Institute, Flinders University, Adelaide, South Australia, Australia.
Alamgir KabirCentre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-3762-8307
Don NutbeamPublic Health, The University of Sydney, Sydney, New South Wales, Australia.
Jackie RoseleurFlinders Medical Research Institute, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0003-4990-1312
Siaw-Teng LiawSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0001-5989-3614
Carmel McNamaraCollege of Nursing and Health Sciences, Flinders University, Adelaide, New South Wales, Australia.
Oliver FrankDiscipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia.
An TranCentre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia.
Richard OsborneCentre for Global Health and Equity, Swinburne University of Technology, Burwood, Victoria, Australia.
Annie Y S LauAustralian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia.
Mark HarrisCentre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia m.f.harris@unsw.edu.au.ORCID 0000-0002-0705-8913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate a multifaceted intervention on diet, physical activity and health literacy of overweight and obese patients attending primary care.

designA pragmatic two-arm cluster randomised controlled trial.

settingUrban general practices in lower socioeconomic areas in Sydney and Adelaide.

participantsWe aimed to recruit 800 patients in each arm. Baseline assessment was completed by 215 patients (120 intervention and 95 control).

interventionA practice nurse-led preventive health check, a mobile application and telephone coaching. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes were measured at baseline, 6 and 12 months, and included patient health and eHealth literacy, weight, waist circumference and blood pressure. Secondary outcomes included changes in diet and physical activity, preventive advice and referral, blood lipids, quality of life and costs. Univariate and multivariate analyses of difference-in-differences (DiD) estimates for each outcome were conducted.

resultsAt 6 months, the intervention group, compared with the control group, demonstrated a greater increase in Health Literacy Questionnaire domain 8 score (ability to find good health information; mean DiD 0.22; 95% CI 0.01 to 0.44). There were similar differences for domain 9 score (understanding health information well enough to know what to do) among patients below the median at baseline. Differences were reduced and non-statistically significant at 12 months. There was a small improvement in diet scores at 6 months (DiD 0.78 (0.10 to 1.47); p=0.026) but not at 12 months. There were no differences in eHealth literacy, physical activity scores, body mass index, weight, waist circumference or blood pressure.

conclusionsTargeted recruitment and engagement were challenging in this population. While the intervention was associated with some improvements in health literacy and diet, substantial differences in other outcomes were not observed. More intensive interventions and using codesign strategies to engage the practices earlier may produce a different result. Codesign may also be valuable when targeting lower socioeconomic populations. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ACTRN 12617001508369) (http://www.ANZCTR.org.au/ACTRN12617001508369.aspx). TRIAL PROTOCOL: The protocol for this trial has been published (open access; https://bmjopen.bmj.com/content/8/6/e023239).

Indexed as

Health LiteracyTelemedicineAustraliaChronic DiseaseHumansObesityOverweightPrimary Health CareQuality of LifeHealth informaticsPREVENTIVE MEDICINEPRIMARY CARE

Identifiers

PMID36450426
PMCPMC9716831

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.