Literature DB >> 23552201

Standardizing race, ethnicity, and preferred language data collection in hospital information systems: results and implications for healthcare delivery and policy.

Rohit Bhalla1, Brandon G Yongue, Brian P Currie.   

Abstract

The Institute of Medicine has identified the need for healthcare organizations to collect standardized demographic data as a step toward reducing healthcare disparities. This observational study of patients discharged from a large academic medical center between 2005 and 2009, evaluates an organizational effort to standardize demographic data collection, characterizes limitations of the implementation, and assesses its utility in quality improvement and disparity reduction efforts. Primary measures include percentages of inpatient discharges with unknown race, ethnicity, and language data. Secondary measures include "ideal" cardiovascular care and readmission rates. From 2005 to 2009, the proportion of discharges with unknown race, ethnicity, or preferred language data decreased significantly. Among discharges with known ethnicity in 2009, Hispanic/Latino patients were significantly more likely to decline to specify their race or designate their race as a "Multiracial: Other Combination." No significant differences in ideal cardiovascular care were observed across demographic groups. Differences in readmission rates were observed among some groups. A provider organization can effectively standardize demographic data collection practices for use in quality improvement efforts. Current federal race categories are of limited utility for persons of Hispanic/Latino ethnicity, and performance measurement approaches that exclude demographic variables may fail to address healthcare disparities.
© 2012 National Association for Healthcare Quality.

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Year:  2012        PMID: 23552201     DOI: 10.1111/j.1945-1474.2011.00180.x

Source DB:  PubMed          Journal:  J Healthc Qual        ISSN: 1062-2551            Impact factor:   1.095


  5 in total

1.  Challenges with quality of race and ethnicity data in observational databases.

Authors:  Fernanda C G Polubriaginof; Patrick Ryan; Hojjat Salmasian; Andrea Wells Shapiro; Adler Perotte; Monika M Safford; George Hripcsak; Shaun Smith; Nicholas P Tatonetti; David K Vawdrey
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

Review 2.  Need for Improved Collection and Harmonization of Rural Maternal Healthcare Data.

Authors:  Donna A Santillan; Heather A Davis; Elissa Z Faro; Boyd M Knosp; Mark K Santillan
Journal:  Clin Obstet Gynecol       Date:  2022-10-20       Impact factor: 1.966

3.  Race and Ethnicity in Real-World Data Sources: Considerations for Medical Device Regulatory Efforts.

Authors:  Michelle E Tarver
Journal:  J Prim Care Community Health       Date:  2021 Jan-Dec

4.  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

5.  A patient and family data domain collection framework for identifying disparities in pediatrics: results from the pediatric health equity collaborative.

Authors:  Aswita Tan-McGrory; Caroline Bennett-AbuAyyash; Stephanie Gee; Kirk Dabney; John D Cowden; Laura Williams; Sarah Rafton; Arie Nettles; Sonia Pagura; Laurens Holmes; Jane Goleman; LaVone Caldwell; James Page; Patricia Oceanic; Erika J McMullen; Adriana Lopera; Sarah Beiter; Lenny López
Journal:  BMC Pediatr       Date:  2018-01-31       Impact factor: 2.567

  5 in total

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