Literature DB >> 20922920

Barriers to collecting patient race, ethnicity, and primary language data in physician practices: an exploratory study.

Romana Hasnain-Wynia1, Kevin Van Dyke, Mara Youdelman, Christian Krautkramer, Susan L Ivey, Robert Gilchick, Erin Kaleba, Matthew K Wynia.   

Abstract

BACKGROUND: Experts recommend that physician practices collect and use patient race, ethnicity, and primary language data to document and address health care disparities and improve health care quality for diverse populations. Little is known about demographic data collection in small practice settings.
OBJECTIVE: To conduct an exploratory study to examine demographic data collection in physician practices to reduce disparities and provide qualitative descriptions of facilitators and barriers to data collection.
DESIGN: Semistructured telephone interviews.
SETTING: Medical practices with 5 or fewer physicians. PARTICIPANTS: Practice managers, nurse managers, and physicians from 20 practices nationwide.
RESULTS: Of the 20 practices interviewed, 9 reported collecting demographic data. Only 1 practice feature facilitated demographic data collection: use of an electronic medical record (EMR) system (7 of 10 practices with an EMR collected data). Participation in pay-for-performance programs, cultural competency training, and measuring clinical quality did not facilitate data collection. One practice linked demographic and quality data. A few used the data to track language service needs. The main perceived barriers to demographic data collection included concerns about privacy, the legality of collecting the information, possible resistance from patients and staff, difficulty recording the data, and uncertainty about whether the data would be useful.
CONCLUSIONS: Few small practices use data to track or address disparities in health care. Most perceived barriers to data collection can be surmounted. There is hope for improved collection and use of data through the spread of information technology with comprehensive national health reform.

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Year:  2010        PMID: 20922920     DOI: 10.1016/s0027-9684(15)30673-8

Source DB:  PubMed          Journal:  J Natl Med Assoc        ISSN: 0027-9684            Impact factor:   1.798


  5 in total

1.  Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.

Authors:  Evan T Sholle; Laura C Pinheiro; Prakash Adekkanattu; Marcos A Davila; Stephen B Johnson; Jyotishman Pathak; Sanjai Sinha; Cassidie Li; Stasi A Lubansky; Monika M Safford; Thomas R Campion
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

Review 2.  Evaluation of primary/preferred language data collection.

Authors:  Linh M Duong; Simple D Singh; Natasha Buchanan; Joan L Phillips; Ken Gerlach
Journal:  J Registry Manag       Date:  2012

3.  Assessing race and ethnicity data quality across cancer registries and EMRs in two hospitals.

Authors:  Simon J Craddock Lee; James E Grobe; Jasmin A Tiro
Journal:  J Am Med Inform Assoc       Date:  2015-12-11       Impact factor: 4.497

4.  Facilitators and barriers of sociodemographic data collection in Canadian health care settings: a multisite case study evaluation.

Authors:  Hazel Williams-Roberts; Cory Neudorf; Sylvia Abonyi; Jennifer Cushon; Nazeem Muhajarine
Journal:  Int J Equity Health       Date:  2018-12-27

Review 5.  Potential harms associated with routine collection of patient sociodemographic information: A rapid review.

Authors:  Jennifer Petkovic; Stephanie L Duench; Vivian Welch; Tamara Rader; Alison Jennings; Alan J Forster; Peter Tugwell
Journal:  Health Expect       Date:  2018-10-19       Impact factor: 3.377

  5 in total

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