Evidence map›Paper›PMID 23800148›Full record

ArticleHealth services research2014

Incentivizing primary care providers to innovate: building medical homes in the post-Katrina New Orleans safety net.

Diane R Rittenhouse, Laura A Schmidt, Kevin J Wu, James Wiley

Abstract read
In one paragraph

Article in Health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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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

4 authors.

Diane R RittenhouseDepartment of Family and Community Medicine, Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA.
Laura A Schmidt
Kevin J Wu
James Wiley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate safety-net clinics' responses to a novel community-wide Patient-Centered Medical Home (PCMH) financial incentive program in post-Katrina New Orleans. DATA SOURCES/STUDY

settingBetween June 2008 and June 2010, we studied 50 primary care clinics in New Orleans receiving federal funds to expand services and improve care delivery. STUDY

designMultiwave, longitudinal, observational study of a local safety-net primary care system. DATA COLLECTION: Clinic-level data from a semiannual survey of clinic leaders (89.3 percent response rate), augmented by administrative records. PRINCIPAL

findingsOverall, 62 percent of the clinics responded to financial incentives by achieving PCMH recognition from the National Committee on Quality Assurance (NCQA). Higher patient volume, higher baseline PCMH scores, and type of ownership were significant predictors of achieving NCQA recognition. The steepest increase in adoption of PCMH processes occurred among clinics achieving the highest, Level 3, NCQA recognition. Following NCQA recognition, 88.9 percent stabilized or increased their use of PCMH processes, although several specific PCMH processes had very low rates of adoption overall.

conclusionsFindings demonstrate that widespread PCMH implementation is possible in a safety-net environment when external financial incentives are aligned with the goal of practice innovation.

Indexed as

Quality of Health CareCyclonic StormsDelivery of Health CareHealth Care ReformHealth PolicyHealth Services AccessibilityHumansLongitudinal StudiesNew OrleansOrganizational InnovationPatient-Centered CarePrimary Health CareSafety-net ProvidersSurveys and Questionnairescommunity clinicshealth reformimplementationmedical homePrimary care

Identifiers

PMID23800148
PMCPMC3922467

What OpenQuestion holds

Textmetadata
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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.