Vizient, Inc., Chicago, IL.
Rush University, Chicago, IL.
Am J Med Qual. 2023;38(2):87-92. doi: 10.1097/JMQ.0000000000000112. Epub 2023 Mar 1.
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.
患者记录有多种用途,其中之一是通过编码和记录来监测所提供的医疗服务质量。Z 编码可以提供超出特定临床疾病的额外信息,这些信息可能仍然需要治疗。健康的社会决定因素有特定的 Z 编码,可以帮助临床医生解决可能影响患者医疗保健结果的社会因素。然而,有些 Z 编码指定了患者不遵医嘱,这带有贬义,可能会给患者带来污名化,并阻止临床医生从健康的社会决定因素角度来检查不遵医嘱的情况。一项回顾性横断面研究旨在检查患者和就诊特征与患者不遵医嘱编码之间的关联。该研究纳入了 2019 年 1 月 1 日至 2019 年 12 月 31 日期间参加 Vizient 临床数据库(CDB)的所有年龄大于 18 岁的住院患者。该研究共纳入了近 900 万美国住院患者。其中,6.3%的患者有不遵医嘱 Z 编码。不遵医嘱 Z 编码的使用与以下几率估计比值呈递减关系:存在健康的社会决定因素(比值比 [OR],4.817)、非裔美国人(OR,2.010)、医疗补助保险(OR,1.707)、>3 种慢性疾病(OR,1.546)、居住在经济困难社区(OR,1.320)、男性(OR,1.313)、非择期入院状态(OR,1.245)、年龄<65 岁(OR,1.234)。超过 15%的患者住院治疗有不遵医嘱的编码。这些编码相关的因素患者如果不是无法改变的话,也很难改变。非裔美国人在不遵医嘱编码的住院患者中不成比例的代表是令人担忧的,迫切需要进一步探索,以确定其在多大程度上可能是临床医生偏见的产物,特别是如果“不遵医嘱”一词阻止医疗保健提供者调查可能导致患者不依从的社会经济因素。