Omicron wave during December 2022 - January 2023: access to pharmaceuticals and healthcare resources and impacts on health outcomes in Shenzhen, China.

IF 3.3 Q1 HEALTH POLICY & SERVICES Journal of Pharmaceutical Policy and Practice Pub Date : 2024-02-13 eCollection Date: 2024-01-01 DOI:10.1080/20523211.2024.2306867
Jiayue Chen, Haisu Feng, Jiatong Sun, Yawen Jiang
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Abstract

Purpose: This study described pharmaceutical and medical resource accessibility of COVID-19 treatment in Shenzhen, China during the peak of COVID-19 infection from December 2022 to January 2023, and examined its influence on clinical outcomes.

Methods: We surveyed Shenzhen residents on COVID-19-related topics using electronic questionnaires. We conducted descriptive statistical analyses and multiple regressions including logistic and Tobit models to explore the impacts of resource constraints on patient outcomes. Resource utilisation and attempts to seek medical care were also described for severity-stratified subgroups.

Results: 76.8% of respondents reported experiencing COVID-19 symptoms between December 7, 2022 and January 29, 2023. Of those who attempted to purchase medication, 72.8% reported drug shortage. 49% of those seeking medical treatment experienced difficulties. Compared with those who did not experience drug shortages, those who did had an odds ratio of 1.959 (95% CI: 1.159 ∼3.313) of presenting with moderate to severe symptoms. Compared with those without difficulties in seeking medical treatment, those who did had an average of 0.39 (95% CI: 0.110 ∼0.670) more days absent from work.

Conclusion: Shenzhen residents with COVID-19 symptoms from December 2022 to January 2023 experienced a certain degree of pharmaceutical and medical resource constraints, which might have compromised their prognosis.

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2022 年 12 月至 2023 年 1 月期间的 Omicron 浪潮:中国深圳的药品和医疗资源获取情况及其对健康结果的影响。
目的:本研究描述了2022年12月至2023年1月COVID-19感染高峰期中国深圳COVID-19治疗的药品和医疗资源可及性,并探讨了其对临床结果的影响:我们使用电子问卷对深圳居民进行了COVID-19相关主题的调查。我们进行了描述性统计分析和多元回归,包括逻辑模型和 Tobit 模型,以探讨资源限制对患者预后的影响。此外,我们还对严重程度分层分组的资源利用率和求医尝试进行了描述:76.8%的受访者表示在2022年12月7日至2023年1月29日期间出现过COVID-19症状。在试图购买药物的受访者中,72.8%的人表示药物短缺。49%的求医者遇到了困难。与没有遇到药物短缺的人相比,遇到药物短缺的人出现中度至重度症状的几率比为 1.959(95% CI:1.159 ∼3.313)。与没有就医困难的居民相比,有就医困难的居民平均缺勤天数增加了 0.39 天(95% CI:0.110 ∼ 0.670):结论:2022 年 12 月至 2023 年 1 月期间,出现 COVID-19 症状的深圳居民经历了一定程度的药物和医疗资源限制,这可能会影响他们的预后。
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来源期刊
Journal of Pharmaceutical Policy and Practice
Journal of Pharmaceutical Policy and Practice Health Professions-Pharmacy
CiteScore
4.70
自引率
9.50%
发文量
81
审稿时长
14 weeks
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