Evidence map›Paper›PMID 30404635›Full record

ArticleInternational journal for equity in health2018

Primary care clinicians' perspectives about quality measurements in safety-net clinics and non-safety-net clinics.

Kathleen A Culhane-Pera, Luis Martin Ortega, Mai See Thao, Shannon L Pergament, Andrew M Pattock, Lynne S Ogawa, Michael Scandrett, David J Satin

Abstract read
In one paragraph

Article in International journal for equity in health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Health Care Professionals' Perceptions of Pay-for-Performance in Practice: A Qualitative Metasynthesis.Inquiry : a journal of medical care organization, provision and financing
    Pooled it
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

8 authors.

Kathleen A Culhane-PeraWest Side Community Health Services, Inc., 895 E 7th St., Saint Paul, MN, 55106, USA. kathiecp@yahoo.com.ORCID 0000-0001-9560-1260
Luis Martin OrtegaWest Side Community Health Services, Inc., 895 E 7th St., Saint Paul, MN, 55106, USA.
Mai See ThaoFamily and Community Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, PO Box 26509, Milwaukee, WI, 53226, USA.
Shannon L PergamentWest Side Community Health Services, Inc., 895 E 7th St., Saint Paul, MN, 55106, USA.
Andrew M PattockDepartment of Family and Community Medicine, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.
Lynne S OgawaWest Side Community Health Services, Inc., 895 E 7th St., Saint Paul, MN, 55106, USA.
Michael ScandrettMinnesota Health Care Safety Net Coalition, 1113 East Franklin Ave #202B, Minneapolis, MN, 55404, USA.
David J SatinDepartment of Family and Community Medicine, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.

Funding

West Side Community Health Services, Inc None
6 · The paper itself

Abstract

backgroundQuality metrics, pay for performance (P4P), and value-based payments are prominent aspects of the current and future American healthcare system. However, linking clinic payment to clinic quality measures may financially disadvantage safety-net clinics and their patient population because safety-net clinics often have worse quality metric scores than non-safety net clinics. The Minnesota Safety Net Coalition's Quality Measurement Enhancement Project sought to collect data from primary care providers' (PCPs) experiences, which could assist Minnesota policymakers and state agencies as they create a new P4P system. Our research study aims are to identify PCPs' perspectives about 1) quality metrics at safety net clinics and non-safety net clinics, 2) how clinic quality measures affect patients and patient care, and 3) how payment for quality measures may influence healthcare.

methodsQualitative interviews with 14 PCPs (4 individual interviews and 3 focus groups) who had worked at both safety net and non-safety net primary care clinics in Minneapolis-St Paul Minnesota USA metropolitan area. Qualitative analyses identified major themes.

resultsThree themes with sub-themes emerged. Theme #1: Minnesota's current clinic quality scores are influenced more by patients and clinic systems than by clinicians. Theme #2: Collecting data for a set of specific quality measures is not the same as measuring quality healthcare. Subtheme #2.1: Current quality measures are not aligned with how patients and clinicians define quality healthcare. Theme #3: Current quality measures are a product of and embedded in social and structural inequities in the American health care system. Subtheme #3.1: The current inequitable healthcare system should not be reinforced with financial payments. Subtheme #3.2: Health equity requires new metrics and a new healthcare system. Overall, PCPs felt that the current inequitable quality metrics should be replaced by different metrics along with major changes to the healthcare system that could produce greater health equity.

conclusionAligning payment with the current quality metrics could perpetuate and exacerbate social inequities and health disparities. Policymakers should consider PCPs' perspectives and create a quality-payment framework that does not disadvantage patients who are affected by social and structural inequities as well as the clinics and providers who serve them.

Indexed as

Attitude of Health PersonnelQuality of Health CareHealth PersonnelHumansPrimary Health CareReimbursement, IncentiveSafety-net ProvidersHealth care inequitiesPay-for-performancePrimary care quality metricsValue-based payments

Identifiers

PMID30404635
PMCPMC6222992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.