Evidence map›Paper›PMID 25686468›Full record

ArticleJAMA internal medicine2015

Patient-centered medical home implementation and use of preventive services: the role of practice socioeconomic context.

Amanda R Markovitz, Jeffrey A Alexander, Paula M Lantz, Michael L Paustian

Abstract read
In one paragraph

Article in JAMA internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Interprofessional team-based primary care practice and preventive cancer screening: evidence from Family Health Teams in Ontario, Canada.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  5. Article
  6. Educating Primary Care Providers and Associate Care Providers About Hepatitis C Screening of Baby Boomers: a Multi-practice Study.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Article
  13. Article
  14. Observational
  15. Financing the Primary Care Behavioral Health Model.Journal of clinical psychology in medical settings · 2018
    Article
  16. Article
  17. Article
  18. Practical Strategies for Assessing Patient Physical Activity Levels in Primary Care.Mayo Clinic proceedings. Innovations, quality & outcomes · 2017
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Amanda R MarkovitzDepartment of Clinical Epidemiology and Biostatistics, Blue Cross Blue Shield of Michigan, Ann Arbor2Department of Epidemiology, Harvard School of Public Health, Harvard University, Boston, Massachusetts.
Jeffrey A AlexanderDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor.
Paula M LantzDepartment of Health Policy, Milken Institute School of Public Health, George Washington University, Washington, DC.
Michael L PaustianDepartment of Clinical Epidemiology and Biostatistics, Blue Cross Blue Shield of Michigan, Ann Arbor.

Funding

Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
Predoctoral Training Program in Reproductive, Perinatal & Pediatric EpidemiologyT32HD060454 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI MICHELS, KARIN B · 2010 to 2014
$1.1M
AHRQ HHS R18 RFA-HS-10-002NICHD NIH HHS P2C HD041028NICHD NIH HHS T32 HD060454NICHD NIH HHS T32HD060454
6 · The paper itself

Abstract

importanceThe patient-centered medical home (PCMH) model of primary care is being implemented in a wide variety of socioeconomic contexts, yet there has been little research on whether its effects differ by context. Clinical preventive service use, including cancer screening, is an important outcome to assess the effectiveness of the PCMH within and across socioeconomic contexts.

objectiveTo determine whether the relationship between the PCMH and cancer screening is conditional on the socioeconomic context in which a primary care physician practice operates. DESIGN, SETTING, AND

participantsA longitudinal study spanning July 1, 2009, through June 30, 2012, using data from the Blue Cross Blue Shield of Michigan Physician Group Incentive Program was conducted. Michigan nonpediatric primary care physician practices that participated in the Physician Group Incentive Program (5452 practice-years) were included. Sample size and outlier exclusion criteria were applied to each outcome. We examined the interaction between practices' PCMH implementation scores and their socioeconomic context. The implementation of a PCMH was self-reported by the practice's affiliated physician organizations and was measured as a continuous score ranging from 0 to 1. Socioeconomic context was calculated using a market-based approach based on zip code characteristics of the practice's patients and by combining multiple measures using principal components analysis. MAIN OUTCOMES AND MEASURES: Breast, cervical, and colorectal cancer screening rates for practices' Blue Cross Blue Shield of Michigan patients.

resultsThe implementation of a PCMH was associated with higher breast, cervical, and colorectal cancer screening rates across most market socioeconomic contexts. In multivariable models, the PCMH was associated with a higher rate of screening for breast cancer (5.4%; 95% CI, 1.5% to 9.3%), cervical cancer (4.2%; 95% CI, 1.4% to 6.9%), and colorectal cancer (7.0%; 95% CI, 3.6% to 10.5%) in the lowest socioeconomic group but nonsignificant differences in screening for breast cancer (2.6%; 95% CI, -0.1% to 5.3%) and cervical cancer (-0.5%; 95% CI, -2.7% to 1.7%) and a higher rate of colorectal cancer (4.5%; 95% CI, 1.8% to 7.3%) screening in the highest socioeconomic group. Because PCMH implementation was associated with larger increases in screening in lower socioeconomic practice settings, models suggest reduced disparities in screening rates across these contexts. For example, the model-predicted disparity in breast cancer screening rates between the highest and lowest socioeconomic contexts was 6% (77.9% vs 72.2%) among practices with no PCMH implementation and 3% (80.3% vs. 77.0%) among practices with full PCMH implementation. CONCLUSIONS AND RELEVANCE: In our study, the PCMH model was associated with improved cancer screening rates across contexts but may be especially relevant for practices in lower socioeconomic areas.

Indexed as

Insurance, HealthPhysician Incentive PlansReimbursement, IncentiveAdultAgedBreast NeoplasmsColorectal NeoplasmsEarly Detection of CancerFemaleHumansMaleMichiganMiddle AgedPatient-Centered CarePractice Patterns, Physicians'Preventive Health Services

Identifiers

PMID25686468
PMCPMC4860609

What OpenQuestion holds

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Registered trials

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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.