The Medical Complexity of Newly Admitted Long-Term Care Residents Before and During the COVID-19 Pandemic in Ontario, British Columbia, and Alberta: A Serial Cross-Sectional Study.

IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES
Health Services Insights Pub Date : 2024-08-03 eCollection Date: 2024-01-01 DOI:10.1177/11786329241266675
Razan Al-Sharkawi, Luke A Turcotte, John P Hirdes, George Heckman, Caitlin McArthur
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引用次数: 0

Abstract

The COVID-19 pandemic had profound effects on the long-term care (LTC) setting worldwide, including changes in admission practices. We aimed to describe the characteristics and medical complexity of newly admitted LTC residents before (March 1, 2019 to February 29, 2020) and during (March 1, 2020 to March 31, 2021) the COVID-19 pandemic via a population-based serial cross-sectional study in Ontario, Alberta, and British Columbia, Canada. With data from the Minimum Data Set 2.0 we characterize the medical complexity of newly admitted LTC residents via the Geriatric 5Ms framework (mind, mobility, medication, multicomplexity, matters most) through descriptive statistics (counts, percentages), stratified by pandemic wave, month, and province. We included 45 756 residents admitted in the year prior to and 35 744 during the first year of the pandemic. We found an increased proportion of residents with depression, requiring extensive assistance with activities of daily living, hip fractures, antipsychotic use, expected to live <6 months, with pneumonia, low social engagement, and admitted from acute care. Our study confirms an increase in medical complexity of residents admitted to LTC during the pandemic and can be used to plan services and interventions and as a baseline for continued monitoring in changes in population characteristics over time.

安大略省、不列颠哥伦比亚省和艾伯塔省 COVID-19 大流行之前和期间新入住的长期护理居民的医疗复杂性:连续横断面研究
COVID-19 大流行对全球的长期护理(LTC)环境产生了深远影响,包括入院方式的改变。我们旨在通过在加拿大安大略省、艾伯塔省和不列颠哥伦比亚省开展的一项基于人群的序列横断面研究,描述 COVID-19 大流行之前(2019 年 3 月 1 日至 2020 年 2 月 29 日)和期间(2020 年 3 月 1 日至 2021 年 3 月 31 日)新入院的长期护理住院患者的特征和医疗复杂性。我们利用最小数据集 2.0 中的数据,通过描述性统计(计数、百分比),并按大流行浪潮、月份和省份分层,采用老年医学 5Ms 框架(精神、行动、用药、多重复杂性、最重要)描述了新入院的 LTC 居民的医疗复杂性。我们纳入了大流行前一年收治的 45 756 名住院患者和大流行第一年收治的 35 744 名住院患者。我们发现,患有抑郁症、日常生活活动需要大量协助、髋部骨折、使用抗精神病药物、预期寿命较短的住院患者比例有所增加。
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
Health Services Insights
Health Services Insights HEALTH CARE SCIENCES & SERVICES-
CiteScore
3.60
自引率
0.00%
发文量
47
审稿时长
8 weeks
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