Evidence map›Paper›PMID 41502060›Full record

ArticleMedical care2026

Data Resources for Conducting Patient-Centered Outcomes Research at Federally Qualified Health Centers: The National Ambulatory Medical Care Survey.

Lello Guluma, Brian W Ward, Sonja N Williams, Cindy Zhang, Cordell Golden

Abstract read
In one paragraph

Article in Medical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lello GulumaNational Center for Health Statistics, Hyattsville, MD.
Brian W Ward
Sonja N Williams
Cindy Zhang
Cordell Golden

Funding

HHS Office of the Secretary Patient-Centered Outcomes Research Trust Fund NoneIntramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundFederally qualified health centers and look-alikes are outpatient care settings that provide primary care and other health services in health professional shortage areas and to their populations. Compiling and disseminating data from these centers that is accessible for patient-centered outcomes research (PCOR) is critical to understanding health care provided at these settings.

objectiveTo describe the National Ambulatory Medical Care Survey Health Center (NAMCS HC) Component, and how this redesigned survey can be utilized to understand health care provided at health centers, improve data capacity, and facilitate PCOR.

methodsBeginning in 2021, the NAMCS HC Component began collecting visit data through electronic health record (EHR) submission from a nationally representative sample of FQHCs and FQHC look-alikes. Resulting datasets are made available for researchers to analyze, used to produce readily available interactive data visualizations, and linked to external datasets.

resultsThe NAMCS HC Component and its resulting data resources are described. Availability of restricted and public datafiles is highlighted, with an example of how these can be used to study visits across different patient characteristics. Interactive dashboards are presented, including how researchers, health centers, and patients can view biannual preliminary visit rates/counts. Finally, linkages between the NAMCS HC Component and external data sources are highlighted, including how these linkages can be used to study health outcomes among different populations.

conclusionsEHR data collected from FQHCs and look-alikes through the redesigned NAMCS HC Component fills a gap to improve PCOR capacity at these unique settings.

Indexed as

Electronic Health RecordsHealth Care SurveysPatient-Centered CarePatient Outcome AssessmentHumansPrimary Health CareUnited Statesdata linkageFQHC look-alikesmaternal healthmental health

Identifiers

PMID41502060
PMCPMC12788798

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.