Evidence map›Paper›PMID 22994250›Full record

ArticleAmerican journal of public health2012

Improving population health through integration of primary care and public health: providing access to physical activity for community health center patients.

Matthew Silva, Suzanne Cashman, Parag Kunte, Lucy M Candib

Abstract read
In one paragraph

Article in American journal of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. PARCS: A Safety Net Community-Based Fitness Center for Low-Income Adults.Progress in community health partnerships : research, education, and action · 2016
    Observational
  6. Population health and the academic medical center: the time is right.Academic medicine : journal of the Association of American Medical Colleges · 2014
    Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Matthew SilvaHealth Center of Worcester, Worcester MA, USA. msilva@mcphs.edu
Suzanne Cashman
Parag Kunte
Lucy M Candib

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur community health center attempted to meet public health goals for encouraging exercise in adult patients vulnerable to obesity, diabetes, hypertension, and other chronic diseases by partnering with a local YMCA.

methodsDuring routine office visits, providers referred individual patients to the YMCA at no cost to the patient. After 2 years, the YMCA instituted a $10 per month patient copay for new and previously engaged health center patients.

resultsThe copay policy change led to discontinuation of participation at the YMCA by 80% of patients. Patients who persisted at the YMCA increased their visits by 50%; however, more men than women became frequent users after institution of the copay. New users after the copay were also more likely to be younger men. Thus the copay skewed the population toward a younger group of men who exercised more frequently. Instituting a fee appeared to discourage more tentative users, specifically women and older patients who may be less physically active.

conclusionsFree access to exercise facilities (rather than self-paid memberships) may be a more appropriate approach for clinicians to begin engaging inexperienced or uncertain patients in regular fitness activities to improve health.

Indexed as

Community Health CentersExercisePrimary Health CarePublic HealthAdultAge FactorsFees and ChargesFemaleHealth PromotionHumansMaleMotor ActivitySex Factors

Identifiers

PMID22994250
PMCPMC3477947

What OpenQuestion holds

Textmetadata
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.