Evidence map›Paper›PMID 32770944›Full record

ArticleBMC family practice2020

Outcomes of a 12-month patient-centred medical home model in improving patient activation and self-management behaviours among primary care patients presenting with chronic diseases in Sydney, Australia: a before-and-after study.

James Rufus John, W Kathy Tannous, Amanda Jones

Open access · goldAbstract read
In one paragraph

Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% of its field
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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. The minimal clinically important difference for the patient activation measure in a culturally and linguistically diverse cohort with chronic conditions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Trial
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A codesigned integrated kidney and diabetes model of care improves patient activation among patients from culturally and linguistically diverse backgrounds.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Observational
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

3 authors at 2 institutions in 1 country.

James Rufus JohnTranslational Health Research Institute (THRI), Western Sydney University, Locked Bag 1797, Penrith, New South Wales, 2751, Australia. james.john@rozettainstitute.com.
W Kathy TannousSchool of Business, Western Sydney University, Parramatta, NSW, 2150, Australia.
Amanda JonesSonic Clinical Services, Level 21, 225 George Street, Sydney, New South Wales, 2000, Australia.
Translational Research Institute · AUWestern Sydney University · AU

Funding

Rozetta Institute - PhD program scholarship NA
6 · The paper itself

Abstract

backgroundStudies report that increased levels of patient activation is associated with increased engagement with the health care system, better adherence to treatment protocols, and improved health outcomes. This study aims to evaluate the outcomes of a 12-month Patient-Centred Medical Home (PCMH) model called 'WellNet' on the activation levels of patients with one or more chronic diseases in general practices across Northern Sydney, Australia.

methodsA total of 636 patients aged 40 years and above with one or more chronic conditions consented to participate in the WellNet program which was delivered across six general practices in Northern Sydney, Australia. The WellNet intervention includes team-based care with general physicians and trained chronic disease management care coordinators collaborating with patients in designing a patient-tailored care plan with improved self-management support and care navigation according to the level of risk and health care needs. The level of patient activation was measured using the validated PAM 13-item scale at baseline and follow-up. A before and after case-series design was employed to determine the adjusted mean differences between baseline and 12-months using repeated measures analysis of covariance (ANCOVA). Additionally, the backward stepwise multivariable regression models were employed to identify significant predictors of activation at follow-up.

resultsOf the 626 patients, 420 reported their PAM scores at follow-up. The mean (SD) baseline PAM score was 57.9 (13.0). The adjusted model showed significant mean difference in PAM scores by increase of 6.5 (95% CI 5.0-8.1; p-value< 0.001) after controlling for baseline covariates. The multivariable regression models showed that older age (B = - 0.14; 95% CI -0.28, - 0.01) and private insurance (uninsured patients) (B = - 3.41; 95% CI -6.50, - 0.32) were significantly associated with lower PAM scores at 12 months whereas higher baseline PAM score (B = 0.48; 95% CI 0.37, 0.59) was significantly associated with higher follow-up PAM score.

conclusionThe WellNet study is the first of its kind in Australia to report on changes in the patient activation levels among patients with one or more chronic diseases. PCMH has the potential to improve patient activation and engagement which can lead to long-term health benefits and sustained self-management behaviours.

Indexed as

Patient ParticipationSelf-ManagementAgedChronic DiseaseHumansPatient-Centered CarePrimary Health CareChronic care modelChronic diseaseCollaborative careIntegrated careMultimorbidityPatient activationSelf-management

Identifiers

PMID32770944
PMCPMC7414685
OpenAlexW3047974944

What Socratic 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 Socratic graph.