Evidence map›Paper›PMID 25748264›Full record

ArticleThe Journal of ambulatory care management

Frontline experiences of a practice redesign to improve self-management of obesity in safety net clinics.

Mona AuYoung, O Kenrik Duru, Ninez A Ponce, Carol M Mangione, Hector P Rodriguez

Abstract read
In one paragraph

Article in The Journal of ambulatory care management. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Primary care micro-teams: an international systematic review of patient and healthcare professional perspectives.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Pooled it
  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

5 authors.

Mona AuYoungDepartment of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (Drs AuYoung and Ponce); Division of General Internal Medicine & Health Services Research, Geffen School of Medicine, University of California, Los Angeles (Drs Duru and Mangione); and Division of Health Policy and Management, School of Public Health, University of California, Berkeley (Dr Rodriguez).
O Kenrik Duru
Ninez A Ponce
Carol M Mangione
Hector P Rodriguez

Funding

Comparative Effectiveness and Outcomes Improvement (CEOI) CenterRC2HL101811 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRSCH, JAN D, MANGIONE, CAROL M · 2009 to 2010
$3.9M
NHLBI NIH HHS RC2 HL101811
6 · The paper itself

Abstract

Teamlets of physicians and medical assistants may help improve obesity management in primary care settings. We aimed to understand the barriers and facilitators of implementing a teamlet approach to managing obesity in 3 safety net clinics. Key stakeholder interviews (n = 21) were conducted both during early implementation of practice change and 6 months later. Patient surveys (n = 393) examined obese patient activation and health status. Insufficient program resources and limited patient engagement due to external factors were implementation barriers despite fairly high patient activation. Staff members need time and resources to execute new responsibilities to support obesity management in safety net settings. Because of high turnover, multiple supporters may improve sustainability.

Indexed as

ObesitySafety-net ProvidersAdultFemaleHumansInterviews as TopicMaleMiddle AgedPrimary Health CareQuality ImprovementSelf CareSurveys and Questionnaires

Identifiers

PMID25748264
PMCPMC4356014

What OpenQuestion holds

Textmetadata
LicenceTDM
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.