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社区、社会和设施因素与长期使用抗精神病药物。

Community, Social, and Facility Factors and Long-stay Antipsychotic Use.

机构信息

Shenandoah Family Practice Residency, Deparment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, Virginia, USA.

Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA.

出版信息

Clin Gerontol. 2022 Oct-Dec;45(5):1180-1188. doi: 10.1080/07317115.2022.2063777. Epub 2022 Apr 21.

DOI:10.1080/07317115.2022.2063777
PMID:35443876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9806733/
Abstract

OBJECTIVES

Compare Virginia nursing homes in the top- and bottom-quintiles of antipsychotic use for variation in community, social, and facility factors.

METHODS

2018 CMS data ascertained Virginia nursing homes in the top and bottom quintiles for antipsychotic use. The Virginia Health Department provided social determinant of health (SDOH) statistics for each facility's county/city while claims identified facility demographics. Chi square and independent two-sample -tests compared quintiles for regional, social, and demographic differences.

RESULTS

Quintiles averaged 3000 residents and 56 facilities. Facilities with the lowest rates of antipsychotic use were more likely to be privately owned and had fewer African-American and minority residents and more white residents. All 18 SDOH statistics were superior for the communities of facilities with the lowest antipsychotic rates. Nine of these differences were statistically significant, including the aggregated "Health Opportunity Index."

CONCLUSIONS

The antipsychotic prevalence rate for facilities in the top-quintile of antipsychotic use is fivefold the bottom-quintile's rate. Antipsychotic prescribing in nursing homes is associated with regional, demographic, and social factors not addressed by existing antipsychotic reduction measures, with vulnerable populations at greatest risk.

CLINICAL IMPLICATIONS

The efficacy of measures aimed at curbing long-stay antipsychotic prescribing could be improved by addressing SDOH including economic opportunities.

摘要

目的

比较弗吉尼亚州养老院中使用抗精神病药物最多和最少的五分之一的社区、社会和设施因素的差异。

方法

2018 年 CMS 数据确定了弗吉尼亚州养老院中使用抗精神病药物最多和最少的五分之一。弗吉尼亚州卫生部为每个设施所在的县/市提供了健康决定因素(SDOH)统计数据,而索赔则确定了设施的人口统计数据。卡方检验和独立两样本检验比较了五分之一的区域、社会和人口统计学差异。

结果

五分之一的平均居民人数为 3000 人,设施数量为 56 个。使用抗精神病药物最低的设施更有可能是私人拥有的,拥有较少的非裔美国人和少数民族居民,以及更多的白人居民。所有 18 项 SDOH 统计数据都优于使用最低抗精神病药物率的设施的社区。其中 9 项差异具有统计学意义,包括综合的“健康机会指数”。

结论

使用抗精神病药物最多的五分之一设施的抗精神病药物患病率是使用抗精神病药物最少的五分之一设施的五倍。养老院中抗精神病药物的处方与现有的抗精神病药物减少措施未解决的区域、人口统计学和社会因素有关,风险最大的是弱势群体。

临床意义

通过解决 SDOH 包括经济机会,可能会提高旨在遏制长期使用抗精神病药物处方的措施的疗效。

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本文引用的文献

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Unreported Antipsychotic Use Increasing in Nursing Homes: The Impact of Quality-Measure Exclusions on the Percentage of Long-Stay Residents Who Got an Antipsychotic Medication Quality-Measure.未报告的抗精神病药物在养老院中的使用不断增加:质量措施排除对接受抗精神病药物质量措施的长期居住居民比例的影响。
Am J Geriatr Psychiatry. 2021 Jul;29(7):704-708. doi: 10.1016/j.jagp.2020.11.008. Epub 2020 Dec 1.
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Inappropriate Antipsychotic Use: The Impact of Nursing Home Socioeconomic and Racial Composition.不适当的抗精神病药物使用:养老院社会经济和种族构成的影响。
J Am Geriatr Soc. 2020 Mar;68(3):630-636. doi: 10.1111/jgs.16316. Epub 2020 Jan 22.
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Assessing the Relative Contribution of Resident Versus Facility Characteristics Associated With Antipsychotic Medication Receipt Among Nursing Facility Residents.评估与护理院居民接受抗精神病药物治疗相关的居民特征与机构特征的相对贡献。
Med Care. 2019 Oct;57(10):822-829. doi: 10.1097/MLR.0000000000001183.
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Primary Care Physician Perspectives about Antipsychotics and Other Medications for Symptoms of Dementia.初级保健医生对治疗痴呆症状的抗精神病药和其他药物的看法。
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Antipsychotic and benzodiazepine use among nursing home residents: findings from the 2004 National Nursing Home Survey.养老院居民的抗精神病药和苯二氮䓬类药物使用情况:来自 2004 年全国养老院调查的结果。
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Unexplained variation across US nursing homes in antipsychotic prescribing rates.美国养老院抗精神病药物处方率存在无法解释的差异。
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