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加拿大安大略省新入住养老院居民的复杂性日益增加:一项连续横断面研究。

Increasing Complexity of New Nursing Home Residents in Ontario, Canada: A Serial Cross-Sectional Study.

机构信息

Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

出版信息

J Am Geriatr Soc. 2020 Jun;68(6):1293-1300. doi: 10.1111/jgs.16394. Epub 2020 Mar 2.

Abstract

OBJECTIVES

The main objective of the study was to investigate annual changes in the sociodemographic characteristics, morbidity, and functional status of new nursing home residents in Ontario, Canada, between 2000 and 2015. A secondary objective was to develop and assess the quality of an algorithm for ascertaining admissions into publicly funded nursing homes in Ontario using a combination of health administrative data sources that indirectly identifies the residential status of new nursing home residents.

DESIGN

Population-based serial cross-sectional study with an accompanying quality assessment study of algorithms.

SETTING

Publicly funded nursing care homes in Ontario, Canada.

PARTICIPANTS

The reference standard for the assessment of algorithm performance was 21 544 newly admitted nursing home residents identified from the Resident Assessment Instrument-Minimum Data Set in 2012. The selected algorithm was then used to identify serial cross-sectional cohorts of newly admitted residents between 2000 and 2015 that ranged in size between 14 651 and 23 630 residents.

MEASUREMENTS

Sociodemographic characteristics, morbidity, and functional status of new residents were determined upon admission to examine patterns in the cohorts' profiles.

RESULTS

The proportion of residents aged 85 years and older increased from 45.1% to 53.8% over 16 years. The proportions of individuals with seven or more chronic conditions (from 14.1% to 22.1%) and with nine or more prescription medications (from 44.9% to 64.2%) have also increased in parallel over time. Hypertension, osteoarthritis, and dementia were the most prevalent conditions captured, with the proportion of incoming residents with dementia increasing from 42.3% to 54.1% between 2000 and 2015. Newly admitted residents were more likely to have extensive physical and cognitive impairments upon admission.

CONCLUSION

Admission trends show that new residents were older and had greater multimorbidity and limitations in physical functioning over time. J Am Geriatr Soc 68:1293-1300, 2020.

摘要

目的

本研究的主要目的是调查 2000 年至 2015 年期间加拿大安大略省新入住养老院居民的社会人口学特征、发病率和功能状况的年度变化。次要目的是开发并评估一种算法的质量,该算法使用健康管理数据源的组合来确定安大略省公共资助的养老院入院情况,该算法间接确定新入住养老院居民的居住状况。

设计

基于人群的连续横断面研究,伴有算法质量评估研究。

地点

加拿大安大略省的公共资助养老院。

参与者

算法性能评估的参考标准是 2012 年从居民评估工具-最低数据集中确定的 21544 名新入住养老院居民。然后使用选定的算法来确定 2000 年至 2015 年间新入住居民的连续横断面队列,规模在 14651 至 23630 名居民之间。

测量

通过入院确定新居民的社会人口学特征、发病率和功能状况,以检查队列特征的模式。

结果

85 岁及以上居民的比例从 16 年的 45.1%增加到 53.8%。同时,患有 7 种或以上慢性病(从 14.1%增加到 22.1%)和 9 种或以上处方药(从 44.9%增加到 64.2%)的人数也呈上升趋势。高血压、骨关节炎和痴呆症是最常见的疾病,2000 年至 2015 年间,新入住居民的痴呆症比例从 42.3%增加到 54.1%。新入住居民入院时更有可能存在广泛的身体和认知障碍。

结论

入院趋势表明,新入住居民的年龄更大,随着时间的推移,多病和身体功能障碍的程度更高。美国老年医学会 68:1293-1300,2020 年。

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