Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene St, Columbia, SC, 29208, USA.
Big Data Health Science Center, University of South Carolina, Columbia, SC, USA.
J Community Health. 2023 Oct;48(5):824-833. doi: 10.1007/s10900-023-01216-6. Epub 2023 May 3.
Although rural communities have been hard-hit by the COVID-19 pandemic, there is limited evidence on COVID-19 outcomes in rural America using up-to-date data. This study aimed to estimate the associations between hospital admissions and mortality and rurality among COVID-19 positive patients who sought hospital care in South Carolina. We used all-payer hospital claims, COVID-19 testing, and vaccination history data from January 2021 to January 2022 in South Carolina. We included 75,545 hospital encounters within 14 days after positive and confirmatory COVID-19 testing. Associations between hospital admissions and mortality and rurality were estimated using multivariable logistic regressions. About 42% of all encounters resulted in an inpatient hospital admission, while hospital-level mortality was 6.3%. Rural residents accounted for 31.0% of all encounters for COVID-19. After controlling for patient-level, hospital, and regional characteristics, rural residents had higher odds of overall hospital mortality (Adjusted Odds Ratio - AOR = 1.19, 95% Confidence Intervals - CI = 1.04-1.37), both as inpatients (AOR = 1.18, 95% CI = 1.05-1.34) and as outpatients (AOR = 1.63, 95% CI = 1.03-2.59). Sensitivity analyses using encounters with COVID-like illness as the primary diagnosis only and encounters from September 2021 and beyond - a period when the Delta variant was dominant and booster vaccination was available - yielded similar estimates. No significant differences were observed in inpatient hospitalizations (AOR = 1.00, 95% CI = 0.75-1.33) between rural and urban residents. Policymakers should consider community-based public health approaches to mitigate geographic disparities in health outcomes among disadvantaged population subgroups.
尽管农村社区受到了 COVID-19 大流行的严重冲击,但利用最新数据研究美国农村地区 COVID-19 结果的证据有限。本研究旨在评估在南卡罗来纳州寻求医院治疗的 COVID-19 阳性患者中,住院和死亡与农村地区之间的关联。我们使用了南卡罗来纳州 2021 年 1 月至 2022 年 1 月期间的所有支付者医院索赔、COVID-19 检测和疫苗接种史数据。我们纳入了在 COVID-19 检测呈阳性和确认后 14 天内的 75545 例住院病例。使用多变量逻辑回归估计住院和死亡与农村地区之间的关联。所有病例中约有 42%需要住院治疗,医院死亡率为 6.3%。农村居民占所有 COVID-19 住院病例的 31.0%。在控制了患者水平、医院和地区特征后,农村居民的总体住院死亡率更高(调整后的优势比-AOR=1.19,95%置信区间-CI=1.04-1.37),无论是住院患者(AOR=1.18,95% CI=1.05-1.34)还是门诊患者(AOR=1.63,95% CI=1.03-2.59)。仅使用 COVID 样疾病为主要诊断的就诊和 2021 年 9 月及以后的就诊进行敏感性分析-在此期间,Delta 变体占主导地位,且可提供加强针疫苗-得出了类似的估计。农村和城市居民的住院治疗(AOR=1.00,95% CI=0.75-1.33)之间没有观察到显著差异。政策制定者应考虑基于社区的公共卫生方法,以减轻弱势人群亚组在健康结果方面的地理差异。
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