与充血性心力衰竭、糖尿病、慢性阻塞性肺病和哮喘住院治疗相关的健康社会决定因素

John Deckbar, Kelly DeMichael, Wael Gad, Baraka Muvuka, Jonathan E. Guerrero
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摘要

导言:疾病预防控制中心和美国肺脏协会估计,充血性心力衰竭(CHF)、糖尿病、慢性阻塞性肺病(COPD)和哮喘(COPD/asthma)每年分别给美国人造成 307 亿美元、3270 亿美元和 500 亿美元的损失。在印第安纳州西北部的一家城市医院--圣玛丽医疗中心(SMMC),这些疾病占了住院病人再入院率的大部分。需要进一步研究与这些疾病相关的社会、行为和人口决定因素。本研究调查了圣玛丽医疗中心服务区域内因慢性阻塞性肺病、糖尿病、慢性阻塞性肺病/哮喘住院的相关社会、行为和人口决定因素。研究方法:这项回顾性研究是 SMMC 与印第安纳大学西北医学院合作开展的多阶段社区参与式研究的一部分。SMMC 实施了一项试点筛查和转诊计划,以评估其服务区的健康社会决定因素,作为其减少再住院计划的一部分。这项研究包括2021年1月至2023年3月期间10953名住院患者的数据,其中大部分患者是从急诊科转来的。数据分析包括 SPSS 29.0 中的单变量、双变量(卡方)和多变量(二元逻辑回归)分析。结果二元分析表明,慢性心肌梗死与吸烟、年龄、保险类型和收入之间存在显著的统计学关联。糖尿病与吸烟、使用无烟烟草、年龄组、种族、收入和性别有明显关联。慢性阻塞性肺病/哮喘与吸烟、年龄组、交通需求、压力、保险、种族和性别有明显相关性。多变量分析发现以下因素有明显相关性:年龄组与慢性阻塞性肺病(P<0.001)和糖尿病(P<0.001)相关,曾经吸烟与慢性阻塞性肺病(P=0.007)和慢性阻塞性肺病/哮喘(P=0.049)相关,目前吸烟与慢性阻塞性肺病/哮喘(P=0.016)相关,性别与糖尿病(P<0.001)相关。结论这些研究结果表明,多种社会行为因素与慢性阻塞性肺病、糖尿病、慢性阻塞性肺病/哮喘入院之间存在明显关联。多风险因素干预措施可解决这些相互作用,并有助于减少再入院率。
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Social Determinants of Health Associated with Inpatient Admissions for Congestive Heart Failure, Diabetes, Chronic Obstructive Pulmonary Disease, and Asthma
Introduction: The CDC and American Lung Association estimate that congestive heart failure (CHF), diabetes, chronic obstructive pulmonary disorder (COPD), and asthma (COPD/asthma) cost Americans $30.7 billion, $327 billion, and $50 billion respectively each year. They account for most inpatient readmissions at St. Mary Medical Center (SMMC), an urban hospital in Northwest Indiana. There is need for further research on the social, behavioral, and demographic determinants associated with these conditions. This study examined the social, behavioral, and demographic determinants associated with inpatient admission for CHF, diabetes, COPD/asthma in SMMC’s service area. Methods: This retrospective study was part of a multi-phased Community-Based Participatory Research partnership between SMMC and Indiana University School of Medicine Northwest. SMMC implemented a pilot screening and referral program to assess social determinants of health in their service area as part of their Hospital Readmission Reduction Program. This study included data from 10,953 inpatient admissions between January 2021 to March 2023, majority of whom were transferred from the emergency department. Data analysis consisted ofunivariate, bivariate (Chi-square), and multivariate (binary logistic regression) analysis in SPSS 29.0. Results: Bivariate analysis revealed a statistically significant association between CHF and smoking, age, insurance type, and income. Diabetes was significantly associated with smoking, smokeless tobacco use, age group, race, income, and sex. COPD/asthma was significantly associated with smoking, age group, transportation needs, stress, insurance, ethnicity, and sex. Multivariate analysis found the following significant associations: age group with both CHF (p<0.001) and diabetes (p<0.001), former smoking with both CHF (p = 0.007) and COPD/asthma (p = 0.049), current smoking with COPD/asthma (p = 0.016), and sex with diabetes (p <0.001). Conclusions: These findings indicate significant associations between multiple sociobehavioral factors and admission for CHF, diabetes, COPD/asthma. Multi-risk-factor interventions may address these interactions and contribute to reducing readmission.
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