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Article ; Online: National Documentation and Coding Practices of Noncompliance: The Importance of Social Determinants of Health and the Stigma of African-American Bias.

Geskey, Joseph M / Kodish-Wachs, Jodi / Blonsky, Heather / Hohman, Samuel F / Meurer, Steve

American journal of medical quality : the official journal of the American College of Medical Quality

2023  Volume 38, Issue 2, Page(s) 87–92

Abstract: Patient records serve many purposes, one of which includes monitoring the quality of care provided that they can be analyzed through coding and documentation. Z-codes can provide additional information beyond a specific clinical disorder that may still ... ...

Abstract Patient records serve many purposes, one of which includes monitoring the quality of care provided that they can be analyzed through coding and documentation. Z-codes can provide additional information beyond a specific clinical disorder that may still warrant treatment. Social Determinants of Health have specific Z-codes that may help clinicians address social factors that may contribute to patients' health care outcomes. However, there are Z-codes that specify patient noncompliance which has a pejorative connotation that may stigmatize patients and prevent clinicians from examining nonadherence from a social determinant of health perspective. A retrospective cross-sectional study was performed to examine the associations of patient and encounter characteristics with the coding of patient noncompliance. Included in the study were all patients >18 years of age who were admitted to hospitals participating in the Vizient Clinical Data Base (CDB) between January 1, 2019 and December 31, 2019. Almost 9 million US inpatients were included in the study. Of those, 6.3% had a noncompliance Z-code. Use of noncompliance Z-codes was associated with the following odds estimate ratio in decreasing order: the presence of a social determinant of health (odds ratio [OR], 4.817), African American race (OR, 2.010), Medicaid insurance (OR, 1.707), >3 chronic medical conditions (OR, 1.546), living in an economically distressed community (OR, 1.320), male gender (OR, 1.313), nonelective admission status (OR, 1.245), age <65 years (OR, 1.234). More than 1 in 15 patient hospitalizations had a noncompliance code. Factors associated with these codes are difficult, if not impossible, for patients to modify. Disproportionate representation of Africa-Americans among hospitalizations with noncompliance coding is concerning and urgently deserves further exploration to determine the degree to which it may be a product of clinician bias, especially if the term noncompliance prevents health care providers from looking into socioeconomic factors that may contribute to patient nonadherence.
MeSH term(s) Aged ; Humans ; Male ; Black or African American ; Cross-Sectional Studies ; Documentation ; Retrospective Studies ; Social Determinants of Health ; Social Factors ; United States ; Bias ; Patient Compliance
Language English
Publishing date 2023-03-01
Publishing country Netherlands
Document type Journal Article
ZDB-ID 1131772-3
ISSN 1555-824X ; 1062-8606
ISSN (online) 1555-824X
ISSN 1062-8606
DOI 10.1097/JMQ.0000000000000112
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