Profiles of Non-medical Drivers and Health Burden Associated With Care Seeking Among Rural Women.

IF 2.5 Q1 PRIMARY HEALTH CARE
Elizabeth Ekren, Saksham Adhikari, Shadi Maleki, Jessica K Sexton, Christina Aubert, Maria Tomasso, Russell Hopkins, Melinda M Villagran
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Abstract

Background: Non-medical drivers of health, including social, demographic, and geographic conditions, play an important role in shaping women's healthcare use in rural settings. How these intersecting factors form patterns that influence care seeking remains underexamined.

Methods: A cross-sectional survey (n = 159) was conducted through public health service sites across 29 rural counties in Texas, United States. K-means clustering identified groups of women with shared patterns of health burden, health-related social needs, and geographic proximity to care. Chi-square tests and one-way ANOVA assessed demographic differences, and a Generalized Linear Model estimated the proportion of times participants reported receiving needed care based on profile membership and demographics.

Results: Seven clusters, interpreted as profiles, reflected variation in combinations of health burden, health-related social needs, and geographic proximity. Cluster membership and difficulty affording healthcare were significantly associated with higher odds of receiving needed care. Women in profiles characterized by multiple co-occurring constraints, as well as one profile marked by elevated health-related social needs, had significantly lower odds of receiving care compared to the reference profile with no constraints.

Conclusions: Findings suggest that profile-based, analytic approaches may help clarify differences in unmet care needs and inform more targeted efforts to address delayed or forgone care in rural settings.

农村妇女非医疗司机状况及与求医有关的健康负担
背景:健康的非医疗驱动因素,包括社会、人口和地理条件,在影响农村妇女保健使用方面发挥着重要作用。这些相互交叉的因素如何形成影响求医的模式仍未得到充分研究。方法:通过美国德克萨斯州29个农村县的公共卫生服务站点进行横断面调查(n = 159)。k均值聚类确定了具有共同健康负担模式、与健康相关的社会需求和与护理的地理邻近性的妇女群体。卡方检验和单因素方差分析评估了人口统计学差异,广义线性模型估计了参与者根据资料成员和人口统计学报告接受所需护理的时间比例。结果:七个聚类被解释为概况,反映了健康负担、与健康相关的社会需求和地理邻近性的组合变化。群集成员和负担医疗保健的困难与获得所需护理的较高几率显着相关。与没有限制条件的参考情况相比,具有多重共同出现的限制条件的情况下的妇女以及具有较高健康相关社会需求的情况下的妇女获得护理的几率明显较低。结论:研究结果表明,基于档案的分析方法可能有助于澄清未满足的护理需求的差异,并为更有针对性的努力提供信息,以解决农村地区延迟或放弃的护理问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
2.80%
发文量
183
审稿时长
15 weeks
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