Evidence map›Paper›PMID 35396732›Full record

ArticleHealth services research2022

Early experience of the quality improvement award program in federally funded health centers.

Janel L Jin, Joshua Bolton, Robert S Nocon, Elbert S Huang, Hank Hoang, Alek Sripipatana, Marshall H Chin

Abstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Janel L JinSection of General Internal Medicine, The University of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-4545-5300
Joshua BoltonU.S. Department of Health and Human Services, Health Resources and Services Administration, Rockville, Maryland, USA.
Robert S NoconDepartment of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA.
Elbert S HuangSection of General Internal Medicine, The University of Chicago, Chicago, Illinois, USA.
Hank HoangU.S. Department of Health and Human Services, Health Resources and Services Administration, Rockville, Maryland, USA.ORCID 0000-0001-8538-8515
Alek SripipatanaU.S. Department of Health and Human Services, Health Resources and Services Administration, Rockville, Maryland, USA.
Marshall H ChinSection of General Internal Medicine, The University of Chicago, Chicago, Illinois, USA.

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Ronald T. Ackermann, MARSHALL H CHIN · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

objectivesTo describe the Health Resources and Services Administration's Quality Improvement Award (QIA) program, award patterns, and early lessons learned. STUDY

setting1413 health centers were eligible for QIA from 2014 to 2018. STUDY

designWe assessed cumulative QIA funding earned and modified funding excluding payments for per-patient bonuses, electronic health record (EHR) use, patient-centered medical home (PCMH) accreditation, and health information technology. We compared health centers on rural/urban location, PCMH accreditation, EHR reporting, and size. DATA COLLECTION: Organizational and quality measures are reported in the Uniform Data System, QIA program data. PRINCIPAL

findingsAverage cumulative funding was higher for health centers that were not rural (USD 380,387 [± USD 233,467] vs. USD 303,526 [± USD 164,272]), had PCMH accreditation (USD 401,675 [± USD 218,246] vs. USD 250,784 [± USD 144,404]), used their EHR for quality reporting (USD 374,214 (± USD 222,866) vs. USD 331,150 (± USD 198,689)), and were large (USD 435,473 (± USD 238,193) vs. USD 270,681 (± USD 114,484) an USD 231,917 (± USD 97,847) for small and medium centers, respectively). There were similar patterns, with smaller differences, for average modified payments.

conclusionsQIA is an important feasible initiative to introduce value-based payment principles to health centers. Early lessons for program design include announcing award criteria in advance and focusing on a smaller number of priority targets.

Indexed as

Awards and PrizesMedical InformaticsElectronic Health RecordsHumansPatient-Centered CareQuality ImprovementUnited Statesequityfederally qualified health centerhealth disparitiespay for performancequality improvementsafety netvalue-based payment

Identifiers

PMID35396732
PMCPMC9441276

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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.