Evidence map›Paper›PMID 17971540›Full record

ArticleAmerican journal of public health2007

The evolution of changes in primary care delivery underlying the Veterans Health Administration's quality transformation.

Elizabeth M Yano, Barbara F Simon, Andrew B Lanto, Lisa V Rubenstein

Abstract readMulticenter Study
In one paragraph

Article in American journal of public health, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  3. User-centered design to improve clinical decision support in primary care.International journal of medical informatics · 2017
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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.

Elizabeth M YanoVeterans Health Administration Greater Los Angeles Health Services Research and Development (HSR&D) Center of Excellence, Los Angeles, Calif 91343, USA. elizabeth.yano@va.gov
Barbara F Simon
Andrew B Lanto
Lisa V Rubenstein

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSuffering from waning demand, poor quality, and reform efforts enabling veterans to "vote with their feet" and leave, the Veterans Health Administration (VA) health care system transformed itself through a series of substantive changes. We examined the evolution of primary care changes underlying VA's transformation.

methodsWe used 3 national organizational surveys from 1993, 1996, and 1999 that measured primary care organization, staffing, management, and resource sufficiency to evaluate changes in VA primary care delivery.

resultsOnly rudimentary primary care was in place in 1993. Primary care enrollment grew from 38% in 1993 to 45% in 1996, and to 95% in 1999 as VA adopted team structures and increased the assignment of patients to individual providers. Specialists initially staffed primary care until generalist physicians and nonphysican providers increased. Primary care-based quality improvement and authority expanded, and resource sufficiency (e.g., computers, space) grew. Provider notification of admissions and emergency department, urgent-care visit, and sub-specialty-consult results increased nearly 5 times.

conclusionsAlthough VA's quality transformation had many underlying causes, investment in primary care development may have served as an essential substrate for many VA quality gains.

Indexed as

United States Department of Veterans AffairsHealth Care ReformHealth Care SurveysHumansModels, OrganizationalOrganizational InnovationPersonnel Staffing and SchedulingPractice Management, MedicalPrimary Health CareProgram DevelopmentQuality of Health CareUnited States

Identifiers

PMID17971540
PMCPMC2089092

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.