行为危险因素监测系统 2019-2020 年按主要医疗保健来源划分的童年不良经历暴露差异。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-12-01 Epub Date: 2024-10-08 DOI:10.1097/MLR.0000000000002067
Alina W Yang, John R Blosnich
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引用次数: 0

摘要

目的:根据医疗保健的主要来源,估算美国成年人中童年不良经历(ACE)的发生率:根据美国成年人的主要医疗保健来源,估算以人口为基础的样本中童年不良经历(ACEs)的发生率:背景:围绕以医疗保健为基础的 ACE 筛查的有效性和实施情况的争论仍在继续。然而,目前还不清楚ACE的负担将如何在不同的医疗保健来源中分配(即医疗系统在实施ACE筛查时可能会期望得到什么):数据来自美国 8 个州,这些州在其 2019 年或 2020 年行为风险因素监测系统调查中包含了 ACE 和医疗保健使用情况的可选模块。分析样本包括完成访谈的受访者(n = 45,820)。ACE被分为0、1、2、3或≥4的序数类别,ACE的发生率被归纳为5种医疗保健来源:(1)雇主或购买的计划,(2)医疗保险、医疗补助或其他州计划,(3)TRICARE、退伍军人事务或军队(即与军队相关的医疗保健),(4)印第安人健康服务,或(5)其他来源。所有估算值均已加权,以考虑复杂的抽样设计:在所有医疗保险类型中,至少有 60% 的人报告了至少一项 ACE。与军队相关的医疗服务(21.6%,95% CI = 18.2-25.5)和印第安人医疗服务(45.4%,95% CI = 22.6-70.3)的患者报告 ACE≥4 的比例最高:ACE在各种医疗机构中都极为常见,但某些医疗系统中ACE暴露程度较高的患者比例更高。在有关临床 ACE 筛查的讨论中,需要考虑到特定医疗系统的独特优势和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differences in Exposures to Adverse Childhood Experiences by Primary Source of Health Care, Behavioral Risk Factor Surveillance System 2019-2020.

Objectives: To estimate the prevalence of adverse childhood experiences (ACEs) among a population-based sample of adults in the United States by their primary source of health care.

Background: Debate continues around the effectiveness and implementation of health care-based screening of ACEs. However, it is unclear how the burden of ACEs would be distributed across different sources of health care (ie, what a health system might expect should it implement ACEs screening).

Methods: Data are from 8 U.S. states that include optional modules for ACEs and health care utilization in their 2019 or 2020 Behavioral Risk Factor Surveillance System survey. The analytic sample includes respondents with completed interviews (n = 45,820). ACEs were categorized into ordinal categories of 0, 1, 2, 3, or ≥4; and the prevalence of ACEs was summarized across 5 sources of health care: (1) employer-based or purchased plan; (2) Medicare, Medicaid, or other state programs; (3) TRICARE, Veterans Affairs, or military (ie, military-related health care); (4) Indian Health Service; or (5) some other source. All estimates were weighted to account for the complex sampling design.

Results: Across all health insurance types, at least 60% of individuals reported at least one ACE. The greatest prevalence of patients reporting ≥4 ACEs occurred for military-related health care (21.6%, 95% CI = 18.2-25.5) and Indian Health Service (45.4%, 95% CI = 22.6-70.3).

Conclusions: ACEs are extremely common across sources of health care, but some health systems have greater proportions of patients with high ACE exposures. The unique strengths and challenges of specific health care systems need to be integrated into the debate about clinical ACEs screening.

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