Deprivation effects on length of stay and death of hospitalised COVID-19 patients in Greater Manchester.

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES International Journal of Population Data Science Pub Date : 2024-02-22 eCollection Date: 2024-01-01 DOI:10.23889/ijpds.v5i4.1770
Jen Murphy, Mark Elliot, Rathi Ravidrarajah, William Whittaker
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Abstract

Introduction: The World Health Organisation declared a global pandemic in March 2020. The impact of COVID-19 has not been felt equally by all regions and sections of society. The extent to which socio-demographic and deprivation factors have adversely impacted on outcomes is of concern to those looking to 'level-up' and decrease widening health inequalities.

Objectives: In this paper we investigate the impact of deprivation on the outcomes for hospitalised COVID-19 patients in Greater Manchester during the first wave of the pandemic in the UK (30/12/19-2/1/21), controlling for proven risk factors from elsewhere in the literature.

Methods: We fitted Negative Binomial and logistic regression models to NHS administrative data to investigate death from COVID in hospital and length of stay for surviving patients in a sample of adult patients admitted within Greater Manchester (N = 10,372, spell admission start dates from 30/12/2019 to 02/01/2021 inclusive).

Results: Deprivation was associated with death risk for hospitalised patients but not with length of stay. Male sex, co-morbidities and older age was associated with higher death risk. Male sex and co-morbidities were associated with increased length of stay. Black and other ethnicities stayed longer in hospital than White and Asian patients. Period effects were detected in both models with death risk reducing over time, but the length of stay increasing.

Conclusion: Deprivation is important for death risk; however, the picture is complex, and the results of this analysis suggest that the reported COVID related mortality and deprivation linked reductions in life expectancy, may have occurred in the community, rather than in acute settings.

Highlights: Older age and male sex are predictive of longer hospital stays and higher death risk for hospitalised cases in this analysis.Deprivation is associated with death risk but not length of stay for hospitalised patients.Ethnicity is associated with length of stay, but not with death risk.There is a social gradient in health, but these data would suggest that once in the care of an NHS hospital in an acute health episode, outcomes are more equal.

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贫困对大曼彻斯特地区 COVID-19 住院病人的住院时间和死亡的影响。
导言:世界卫生组织宣布 COVID-19 于 2020 年 3 月在全球范围内流行。并非所有地区和社会阶层都能平等地感受到 COVID-19 的影响。社会人口和贫困因素在多大程度上对治疗结果产生了不利影响,这是那些希望 "提高治疗水平 "并减少不断扩大的健康不平等现象的人们所关心的问题:在本文中,我们调查了在英国第一波大流行期间(12 月 30/19 日-2/1/21 日),贫困对大曼彻斯特地区 COVID-19 住院患者预后的影响,同时控制了其他文献中已证实的风险因素:我们将负二项模型和逻辑回归模型应用于英国国家医疗服务系统(NHS)的行政数据,以调查大曼彻斯特地区成年住院患者(N = 10,372,拼写入院开始日期为 2019 年 12 月 30 日至 2021 年 1 月 2 日(含))在医院死于 COVID 的情况以及存活患者的住院时间:贫困与住院患者的死亡风险有关,但与住院时间无关。男性性别、合并疾病和年龄越大,死亡风险越高。男性和合并疾病与住院时间延长有关。黑人和其他种族患者的住院时间长于白人和亚裔患者。在两个模型中都发现了周期效应,死亡风险随着时间的推移而降低,但住院时间却在延长:结论:贫困对死亡风险有重要影响;然而,情况是复杂的,分析结果表明,报告中与 COVID 相关的死亡率和与贫困相关的预期寿命缩短可能发生在社区,而不是急诊环境中:在这项分析中,年龄越大、性别越男的患者住院时间越长、死亡风险越高。种族与住院时间有关,但与死亡风险无关。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
期刊最新文献
Defining a low-risk birth cohort: a cohort study comparing two perinatal data sets in Ontario, Canada. Data resource profile: nutrition data in the VA million veteran program. Deprivation effects on length of stay and death of hospitalised COVID-19 patients in Greater Manchester. Variation in colorectal cancer treatment and outcomes in Scotland: real world evidence from national linked administrative health data. Examining the quality and population representativeness of linked survey and administrative data: guidance and illustration using linked 1958 National Child Development Study and Hospital Episode Statistics data
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