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医疗补助计划初级医疗服务的利用情况与地区层面的社会脆弱性

Medicaid Primary Care Utilization and Area-Level Social Vulnerability.

作者信息

Herring Jordan, Park Yoon Hong, Luo Qian, Vichare Anushree, Erikson Clese, Pittman Patricia

机构信息

School of Medicine, Stanford University, Stanford, California.

Fitzhugh Mullan Institute for Health Workforce Equity, Milken Institute School of Public Health, George Washington University, Washington, DC.

出版信息

JAMA Health Forum. 2025 Sep 5;6(9):e253020. doi: 10.1001/jamahealthforum.2025.3020.

Abstract

IMPORTANCE

The concentration of poverty and multidimensional disadvantage has been shown to limit access to health care in these communities. There is a growing interest in using area-level socioeconomic indexes to address the unequal geographic distribution of health care resources. However, the association of area-level socioeconomic indexes with access to primary care-a key area in health policy-has not been determined.

OBJECTIVE

To investigate the association of Medicaid primary care utilization with the concentration of poverty and multidimensional disadvantage at the zip code level.

DESIGN, SETTINGS, AND PARTICIPANTS: This cross-sectional study used the 2019 Transformed-Medicaid Statistical Information System to identify variations in primary care utilization among Medicaid and the Children's Health Insurance Program beneficiaries (age <65 years) by poverty and multidimensional disadvantage levels of their area of residence. Included beneficiaries were enrolled in Medicaid from January 1 to December 31, 2019, and were not dually eligible for Medicare. The zip code-level Social Vulnerability Index (SVI) was used to assess the likelihood of a beneficiary having an annual primary care visit, while controlling for individual beneficiary demographic and health characteristics. An activity-based approach was adopted to classify clinicians billing Medicaid for primary care and to identify primary care visits at federally qualified health centers (FQHCs). SVI results were compared with results using income-based poverty rates alone. Data analysis was performed from May 1, 2023, through February 28, 2025.

EXPOSURE

Zip code-level deciles of the SVI and poverty rates.

MAIN OUTCOMES AND MEASURES

Regression analysis was performed at the beneficiary level, using a binary indicator for having a primary care visit on a set of dummy variables for SVI deciles, controlling for age and sex interactions, disability status, and indicators for having been diagnosed with behavioral health or chronic physical health conditions.

RESULTS

The total population analyzed comprised 34 890 932 Medicaid beneficiaries (<65 years old; 54.2% female and 45.8% male), more than half of whom resided in the top 20% of socially vulnerable zip codes; approximately 33%, in the top 10%; and another 20%, in the ninth decile. Of the total, 68.1% had at least 1 primary care visit in 2019, at either a non-FQHC practice (61.1%) or a FQHC (12.7%). The probability of having a primary care visit was highest for children (age <18 years) but varied substantially by age. Compared to those residing in the first decile of the SVI (least socially vulnerable), beneficiaries in the tenth decile (most socially vulnerable) were 8.9 (95% CI, -9.9 to -7.9) percentage points (pp) less likely to have a primary care visit when not counting FQHC visits, but this increased to 4.7 (95% CI, -5.5 to -3.8) pp less likely when including FQHC visits. Beneficiaries in the tenth decile were 5.9 (95% CI, 4.9 to 6.8) pp more likely to have a FQHC visit than beneficiaries in the first decile. The SVI results identified more beneficiaries with disparities compared to the area-level poverty rate alone.

CONCLUSIONS AND RELEVANCE

The findings of this cross-sectional study suggest that Medicaid policy should focus on addressing geography-based disparities in access to care using new measures to target resources. The multidimensional SVI is likely a useful tool to identify small geographic areas with barriers to accessing adequate health care. The FQHC findings suggest that substantially increasing investments and support for FQHCs would address geographic inequities in access to health care.

摘要

重要性

贫困和多维度劣势的集中已被证明限制了这些社区获得医疗保健的机会。人们越来越有兴趣使用地区层面的社会经济指标来解决医疗保健资源地理分布不均的问题。然而,地区层面的社会经济指标与获得初级保健(卫生政策中的一个关键领域)之间的关联尚未确定。

目的

调查邮政编码层面贫困和多维度劣势的集中情况与医疗补助初级保健利用率之间的关联。

设计、设置和参与者:这项横断面研究使用2年的转化医疗补助统计信息系统,按医疗补助和儿童健康保险计划受益人群(年龄<65岁)居住地区的贫困和多维度劣势水平,确定初级保健利用率的差异。纳入的受益人在2019年1月1日至12月31日期间参加了医疗补助,且不符合同时享受医疗保险的条件。邮政编码层面的社会脆弱性指数(SVI)用于评估受益人每年进行初级保健就诊的可能性,同时控制个体受益人的人口统计学和健康特征。采用基于活动的方法对为初级保健向医疗补助计费的临床医生进行分类,并确定联邦合格健康中心(FQHC)的初级保健就诊情况。将SVI结果与仅使用基于收入的贫困率的结果进行比较。数据分析于2023年5月1日至2025年2月28日进行。

暴露因素

SVI和贫困率的邮政编码层面十分位数。

主要结局和测量指标

在受益人层面进行回归分析,使用一个二元指标表示在一组SVI十分位数的虚拟变量上进行了初级保健就诊,控制年龄和性别交互作用、残疾状况以及被诊断患有行为健康或慢性身体健康状况的指标。

结果

分析的总人口包括34890932名医疗补助受益人(<65岁;女性占54.2%,男性占45.8%),其中一半以上居住在社会脆弱性邮政编码排名前20%的地区;约33%居住在排名前10%的地区;另有20%居住在第九分位数地区。在总计中,68.1%的人在2019年至少进行了1次初级保健就诊,就诊地点为非FQHC机构(61.1%)或FQHC(12.7%)。儿童(年龄<18岁)进行初级保健就诊的概率最高,但因年龄差异很大。与居住在SVI第一分位数(社会脆弱性最低)的人相比,第十分位数(社会脆弱性最高)的受益人在不计算FQHC就诊的情况下,进行初级保健就诊的可能性低8.9(95%CI,-9.9至-7.9)个百分点(pp),但在包括FQHC就诊时,这一差距降至低4.7(95%CI,-5.5至-3.8)pp。第十分位数的受益人进行FQHC就诊的可能性比第一分位数的受益人高5.9(95%CI,4.9至6.8)pp。与仅使用地区层面的贫困率相比,SVI结果识别出更多存在差异的受益人。

结论与意义

这项横断面研究的结果表明,医疗补助政策应集中于使用新的资源靶向措施来解决基于地理位置的医疗服务可及性差异。多维度SVI可能是识别存在获得充分医疗保健障碍的小地理区域的有用工具。FQHC的研究结果表明,大幅增加对FQHC的投资和支持将解决医疗保健可及性方面的地理不平等问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9e3/12413652/a742d730703f/jamahealthforum-e253020-g001.jpg

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