Evidence map›Paper›PMID 21194450›Full record

ArticleBMC health services research2010

Responses of Massachusetts hospitals to a state mandate to collect race, ethnicity and language data from patients: a qualitative study.

Selena Jorgensen, Ruth Thorlby, Robin M Weinick, John Z Ayanian

Abstract read
In one paragraph

Article in BMC health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Review
  6. Potential harms associated with routine collection of patient sociodemographic information: A rapid review.Health expectations : an international journal of public participation in health care and health policy · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Assessing race and ethnicity data quality across cancer registries and EMRs in two hospitals.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  11. Article
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.

Selena JorgensenDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA. ayanian@hcp.med.harvard.edu
Ruth Thorlby
Robin M Weinick
John Z Ayanian

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
NCRR NIH HHS UL1 RR 025758NCRR NIH HHS UL1 RR025758
6 · The paper itself

Abstract

backgroundA Massachusetts regulation implemented in 2007 has required all acute care hospitals to report patients' race, ethnicity and preferred language using standardized methodology based on self-reported information from patients. This study assessed implementation of the regulation and its impact on the use of race and ethnicity data in performance monitoring and quality improvement within hospitals.

methodsThematic analysis of semi-structured interviews with executives from a representative sample of 28 Massachusetts hospitals in 2009.

resultsThe number of hospitals using race, ethnicity and language data internally beyond refining interpreter services increased substantially from 11 to 21 after the regulation. Thirteen of these hospitals were utilizing patient race and ethnicity data to identify disparities in quality performance measures for a variety of clinical processes and outcomes, while 16 had developed patient services and community outreach programs based on findings from these data. Commonly reported barriers to data utilization include small numbers within categories, insufficient resources, information system requirements, and lack of direction from the state.

conclusionsThe responses of Massachusetts hospitals to this new state regulation indicate that requiring the collection of race, ethnicity and language data can be an effective method to promote performance monitoring and quality improvement, thereby setting the stage for federal standards and incentive programs to eliminate racial and ethnic disparities in the quality of health care.

Indexed as

Hospital-Patient RelationsState GovernmentChief Executive Officers, HospitalCohort StudiesData CollectionEthnicityFemaleHealthcare DisparitiesHealth SurveysHospital Bed CapacityHospital Shared ServicesHumansInternship and ResidencyLanguageMaleMandatory Programs

Identifiers

PMID21194450
PMCPMC3022878

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.