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接受医疗补助的严重精神疾病患者的抗精神病药物依从性和预防性糖尿病筛查:基于真实世界行政数据的分析。

Antipsychotic medication adherence and preventive diabetes screening in Medicaid enrollees with serious mental illness: an analysis of real-world administrative data.

机构信息

Department of Advanced Health Analytics and Solutions, Magellan Health, Inc, 4800 N Scottsdale Rd #4400, Scottsdale, AZ, 85251, USA.

Department of Health Behavior & Health Systems, School of Public Health, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.

出版信息

BMC Health Serv Res. 2021 Jan 18;21(1):69. doi: 10.1186/s12913-020-06045-0.

Abstract

BACKGROUND

There is excess amenable mortality risk and evidence of healthcare quality deficits for persons with serious mental illness (SMI). We sought to identify sociodemographic and clinical characteristics associated with variations in two 2015 Healthcare Effectiveness Data and Information Set (HEDIS) measures, antipsychotic medication adherence and preventive diabetes screening, among Medicaid enrollees with serious mental illness (SMI).

METHODS

We retrospectively analyzed claims data from September 2014 to December 2015 from enrollees in a Medicaid specialty health plan in Florida. All plan enrollees had SMI; analyses included continuously enrolled adults with antipsychotic medication prescriptions and schizophrenia or bipolar disorder. Associations were identified using mixed effects logistic regression models.

RESULTS

Data for 5502 enrollees were analyzed. Substance use disorders, depression, and having both schizophrenia and bipolar disorder diagnoses were associated with both HEDIS measures but the direction of the associations differed; each was significantly associated with antipsychotic medication non-adherence (a marker of suboptimal care quality) but an increased likelihood of diabetes screening (a marker of quality care). Compared to whites, blacks and Hispanics had a significantly greater risk of medication non-adherence. Increasing age was significantly associated with increasing medication adherence, but the association between age and diabetes screening varied by sex. Other characteristics significantly associated with quality variations according to one or both measures were education (associated with antipsychotic medication adherence), urbanization (relative to urban locales, residing in suburban areas was associated with both adherence and diabetes screening), obesity (associated with both adherence and diabetes screening), language (non-English speakers had a greater likelihood of diabetes screening), and anxiety, asthma, and hypertension (each positively associated with diabetes screening).

CONCLUSIONS

The characteristics associated with variations in the quality of care provided to Medicaid enrollees with SMI as gauged by two HEDIS measures often differed, and at times associations were directionally opposite. The variations in the quality of healthcare received by persons with SMI that were identified in this study can guide quality improvement and delivery system reform efforts; however, given the sociodemographic and clinical characteristics' differing associations with different measures of care quality, multidimensional approaches are warranted.

摘要

背景

严重精神疾病(SMI)患者的可归因死亡率风险过高,且存在医疗质量缺陷的证据。我们试图确定与 2015 年医疗保健效果数据和信息集(HEDIS)两项措施相关的社会人口学和临床特征,这些措施是 Medicaid 参保者的抗精神病药物依从性和预防糖尿病筛查,这些参保者患有严重精神疾病(SMI)。

方法

我们回顾性分析了佛罗里达州 Medicaid 特殊健康计划在 2014 年 9 月至 2015 年 12 月期间的参保人索赔数据。所有计划参保人均患有 SMI;分析包括连续服用抗精神病药物处方的成年人以及患有精神分裂症或双相情感障碍的成年人。使用混合效应逻辑回归模型确定关联。

结果

对 5502 名参保人的数据进行了分析。物质使用障碍、抑郁和同时患有精神分裂症和双相情感障碍的诊断与这两项 HEDIS 措施都有关联,但关联的方向不同;它们都与抗精神病药物不依从显著相关(一种护理质量欠佳的标志),但增加了糖尿病筛查的可能性(一种优质护理的标志)。与白人相比,黑人及西班牙裔的药物不依从风险显著更高。年龄越大,药物依从性越高,但年龄与糖尿病筛查之间的关联因性别而异。根据一项或两项措施,与质量变化显著相关的其他特征是教育(与抗精神病药物依从性相关)、城市化(与城市地区相比,居住在郊区与依从性和糖尿病筛查都相关)、肥胖(与依从性和糖尿病筛查都相关)、语言(非英语者更有可能进行糖尿病筛查),以及焦虑、哮喘和高血压(每一种都与糖尿病筛查呈正相关)。

结论

通过两项 HEDIS 措施衡量,与 Medicaid 参保者 SMI 护理质量变化相关的特征通常不同,有时关联方向也相反。本研究确定了 SMI 患者所接受的医疗保健质量的差异,这可以指导质量改进和交付系统改革工作;然而,鉴于社会人口学和临床特征与不同的护理质量措施的关联不同,需要采取多维方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630a/7812734/c92d36cfd46a/12913_2020_6045_Fig1_HTML.jpg

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