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保险登记支持工具对社区卫生中心保险费率和癌症预防的效果:一项准实验研究。

Effectiveness of an insurance enrollment support tool on insurance rates and cancer prevention in community health centers: a quasi-experimental study.

机构信息

Department of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA.

Division of Biostatistics, School of Public Health, Oregon Health & Science University - Portland State University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA.

出版信息

BMC Health Serv Res. 2021 Oct 30;21(1):1186. doi: 10.1186/s12913-021-07195-5.

Abstract

BACKGROUND

Following the ACA, millions of people gained Medicaid insurance. Most electronic health record (EHR) tools to date provide clinical-decision support and tracking of clinical biomarkers, we developed an EHR tool to support community health center (CHC) staff in assisting patients with health insurance enrollment documents and tracking insurance application steps. The objective of this study was to test the effectiveness of the health insurance support tool in (1) assisting uninsured patients gaining insurance coverage, (2) ensuring insurance continuity for patients with Medicaid insurance (preventing coverage gaps between visits); and (3) improving receipt of cancer preventive care.

METHODS

In this quasi-experimental study, twenty-three clinics received the intervention (EHR-based insurance support tool) and were matched to 23 comparison clinics. CHCs were recruited from the OCHIN network. EHR data were linked to Medicaid enrollment data. The primary outcomes were rates of uninsured and Medicaid visits. The secondary outcomes were receipt of recommended breast, cervical, and colorectal cancer screenings. A comparative interrupted time-series using Poisson generalized estimated equation (GEE) modeling was performed to evaluate the effectiveness of the EHR-based tool on the primary and secondary outcomes.

RESULTS

Immediately following implementation of the enrollment tool, the uninsured visit rate decreased by 21.0% (Adjusted Rate Ratio [RR] = 0.790, 95% CI = 0.621-1.005, p = .055) while Medicaid-insured visits increased by 4.5% (ARR = 1.045, 95% CI = 1.013-1.079) in the intervention group relative to comparison group. Cervical cancer preventive ratio increased 5.0% (ARR = 1.050, 95% CI = 1.009-1.093) immediately following implementation of the enrollment tool in the intervention group relative to comparison group. Among patients with a tool use, 81% were enrolled in Medicaid 12 months after tool use. For the 19% who were never enrolled in Medicaid following tool use, most were uninsured (44%) at the time of tool use.

CONCLUSIONS

A health insurance support tool embedded within the EHR can effectively support clinic staff in assisting patients in maintaining their Medicaid coverage. Such tools may also have an indirect impact on evidence-based practice interventions, such as cancer screening.

TRIAL REGISTRATION

This study was retrospectively registered on February 4th, 2015 with Clinicaltrials.gov (#NCT02355262). The registry record can be found at https://www.clinicaltrials.gov/ct2/show/NCT02355262 .

摘要

背景

ACA 通过后,数以百万计的人获得了医疗补助保险。迄今为止,大多数电子健康记录(EHR)工具都提供临床决策支持和临床生物标志物的跟踪,我们开发了一种 EHR 工具,以支持社区卫生中心(CHC)工作人员帮助患者完成健康保险登记文件,并跟踪保险申请步骤。本研究的目的是测试健康保险支持工具在以下方面的有效性:(1)帮助未参保患者获得保险覆盖;(2)确保有医疗补助保险的患者的保险连续性(防止就诊间隔期间出现保险覆盖空白);以及(3)改善癌症预防护理的获得。

方法

在这项准实验研究中,二十三个诊所接受了干预(基于 EHR 的保险支持工具),并与二十三个对照诊所相匹配。CHC 是从 OCHIN 网络招募的。EHR 数据与医疗补助登记数据相关联。主要结局是未参保和有医疗补助保险就诊的比例。次要结局是接受推荐的乳腺癌、宫颈癌和结直肠癌筛查的比例。使用泊松广义估计方程(GEE)模型进行比较中断时间序列分析,以评估基于 EHR 的工具对主要和次要结局的有效性。

结果

在实施登记工具后,未参保就诊率立即下降了 21.0%(调整后的比率[RR] = 0.790,95%置信区间[CI] = 0.621-1.005,p = .055),而接受干预的 Medicaid 参保就诊率增加了 4.5%(ARR = 1.045,95%CI = 1.013-1.079)。在干预组中,宫颈癌预防比例立即增加了 5.0%(ARR = 1.050,95%CI = 1.009-1.093)。在接受工具使用的患者中,有 81%的人在工具使用后 12 个月内获得了医疗补助保险。对于在工具使用后从未获得医疗补助保险的 19%的患者,大多数(44%)在工具使用时没有参保。

结论

嵌入电子健康记录中的健康保险支持工具可以有效地帮助诊所工作人员为患者提供维持 Medicaid 保险覆盖的帮助。此类工具还可能对基于证据的实践干预措施产生间接影响,如癌症筛查。

试验注册

这项研究于 2015 年 2 月 4 日在 Clinicaltrials.gov 上进行了回顾性注册(#NCT02355262)。注册记录可在 https://www.clinicaltrials.gov/ct2/show/NCT02355262 找到。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1e6/8557589/2d963fc1538a/12913_2021_7195_Fig1_HTML.jpg

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