Literature DB >> 20889576

Collecting race, ethnicity, and language data to identify and reduce health disparities: perceptions of health plan enrollees.

Romana Hasnain-Wynia1, Kalahn Taylor-Clark, Ayodola Anise.   

Abstract

Collection of race, ethnicity, and primary language data of health plan members is a recognized important step in addressing disparities in health care. The authors conducted six focus groups to examine perceptions of Massachusetts consumers about collection and use of race/ethnicity and language data by health plans, preferences for how and when the data should be collected, and preferences for racial/ethnic categories. Consumers understood the utility of collecting primary language data from members but expressed concerns about the collection of race/ethnicity data. Despite these concerns, they provided suggestions for using the data to improve care. Their preferences for racial/ethnic categories suggested that they wanted a balance between simplicity and reasonable granular detail. Ultimately, consumers wanted to be assured that the information they provided to health plans would be used to improve quality, and they wanted to be able to provide this information without undue burden and with assurances of confidentiality.

Mesh:

Year:  2010        PMID: 20889576     DOI: 10.1177/1077558710382549

Source DB:  PubMed          Journal:  Med Care Res Rev        ISSN: 1077-5587            Impact factor:   3.929


  7 in total

1.  Time-Lag Between Diagnosis of Autism Spectrum Disorder and Onset of Publicly-Funded Early Intensive Behavioral Intervention: Do Race-Ethnicity and Neighborhood Matter?

Authors:  Marissa E Yingling; Robert M Hock; Bethany A Bell
Journal:  J Autism Dev Disord       Date:  2018-02

2.  How health care organizations are using data on patients' race and ethnicity to improve quality of care.

Authors:  Ruth Thorlby; Selena Jorgensen; Bruce Siegel; John Z Ayanian
Journal:  Milbank Q       Date:  2011-06       Impact factor: 4.911

3.  Accuracy of race, ethnicity, and language preference in an electronic health record.

Authors:  Elissa V Klinger; Sara V Carlini; Irina Gonzalez; Stella St Hubert; Jeffrey A Linder; Nancy A Rigotti; Emily Z Kontos; Elyse R Park; Lucas X Marinacci; Jennifer S Haas
Journal:  J Gen Intern Med       Date:  2014-12-20       Impact factor: 5.128

4.  UK ethnicity data collection for healthcare statistics: the South Asian perspective.

Authors:  Gulnaz Iqbal; Mark Rd Johnson; Ala Szczepura; Sue Wilson; Anil Gumber; Janet A Dunn
Journal:  BMC Public Health       Date:  2012-03-27       Impact factor: 3.295

Review 5.  Factors Associated With Willingness to Share Health Information: Rapid Review.

Authors:  Turin Tc; Iffat Naeem; Hude Quan; Shaminder Singh; Nashit Chowdhury; Mohammad Chowdhury; Vineet Saini
Journal:  JMIR Hum Factors       Date:  2022-02-09

6.  Missing Race and Ethnicity Data among COVID-19 Cases in Massachusetts.

Authors:  Keith R Spangler; Jonathan I Levy; M Patricia Fabian; Beth M Haley; Fei Carnes; Prasad Patil; Koen Tieskens; R Monina Klevens; Elizabeth A Erdman; T Scott Troppy; Jessica H Leibler; Kevin J Lane
Journal:  J Racial Ethn Health Disparities       Date:  2022-09-02

7.  Primary Care Physicians' Collection, Comfort, and Use of Race and Ethnicity in Clinical Practice in the United States.

Authors:  Vence L Bonham; Nkeiruka I Umeh; Brooke A Cunningham; Khadijah E Abdallah; Sherrill L Sellers; Lisa A Cooper
Journal:  Health Equity       Date:  2017-08-01
  7 in total

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