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The unmet needs of older adults living in nursing homes in Mainland China: a nation-wide observational study

BACKGROUND: The unmet needs of older adults in nursing homes could result in their poor health status physically and psychologically. The aim of this study was to understand the characteristics of unmet needs of older adults residing in nursing homes in China, and to probe into the contributing fact...

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Autores principales: Huang, Deqin, Zeng, Tieying, Mao, Jing, Zhao, Meizhen, Wu, Meiliyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773463/
https://www.ncbi.nlm.nih.gov/pubmed/36544110
http://dx.doi.org/10.1186/s12877-022-03699-9
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author Huang, Deqin
Zeng, Tieying
Mao, Jing
Zhao, Meizhen
Wu, Meiliyang
author_facet Huang, Deqin
Zeng, Tieying
Mao, Jing
Zhao, Meizhen
Wu, Meiliyang
author_sort Huang, Deqin
collection PubMed
description BACKGROUND: The unmet needs of older adults in nursing homes could result in their poor health status physically and psychologically. The aim of this study was to understand the characteristics of unmet needs of older adults residing in nursing homes in China, and to probe into the contributing factors. METHODS: In this cross-sectional design, the demographic and health status questionnaire, Modified Barthel Index, the Numerical Rating Scale for pain assessment, Geriatric Depression Scale, Camberwell Assessment of Need for the elderly were employed to survey older adults living in 38 nursing homes in 13 cities in China from July 2017 to June 2018 through a multi-stage, stratified sampling scheme. The Short Portable Mental Status Questionnaire was adopted to exclude participants with severe cognitive impairment. Aside from descriptive analysis, a raft of hierarchical logistic regression models were run by sequentially controlling for the independent variables at 5 levels (demographic characteristics, health status, pain, ADL, and depression), aiming to identify the influencing factors of the unmet needs of the residents. RESULTS: The effective sample size involved 2063 older adults (63.4% female versus 36.6% male), with a response rate of 98.5%. The median and inter-quartile range of the total needs and unmet needs of the sample was 3(1, 4) and 0(0, 1) respectively, with 122 older participants having more than 3 unmet needs (high unmet need category) versus 1922 older ones having ≤ 3 unmet needs (low unmet need category). The unmet needs of older adults in nursing homes mainly fell into social domains. Gender, religion, educational background, marital status, living condition before admission, room type, incomes, staffing, number of diseases, pain, Barthel Index, and depression were contributive to unmet needs of older adults in long-term care facilities in the final model that was adjusted for all levels of variables (all p < 0.05). CONCLUSION: Understanding the influencing factors of the unmet needs of older adults in long term care provides clues for healthcare professionals to offer better care for this population. System-level support to nursing homes and training of staff are highlighted. Plus, taking measures to beef up social connections for the older adults to meet their social needs was suggested.
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spelling pubmed-97734632022-12-23 The unmet needs of older adults living in nursing homes in Mainland China: a nation-wide observational study Huang, Deqin Zeng, Tieying Mao, Jing Zhao, Meizhen Wu, Meiliyang BMC Geriatr Research BACKGROUND: The unmet needs of older adults in nursing homes could result in their poor health status physically and psychologically. The aim of this study was to understand the characteristics of unmet needs of older adults residing in nursing homes in China, and to probe into the contributing factors. METHODS: In this cross-sectional design, the demographic and health status questionnaire, Modified Barthel Index, the Numerical Rating Scale for pain assessment, Geriatric Depression Scale, Camberwell Assessment of Need for the elderly were employed to survey older adults living in 38 nursing homes in 13 cities in China from July 2017 to June 2018 through a multi-stage, stratified sampling scheme. The Short Portable Mental Status Questionnaire was adopted to exclude participants with severe cognitive impairment. Aside from descriptive analysis, a raft of hierarchical logistic regression models were run by sequentially controlling for the independent variables at 5 levels (demographic characteristics, health status, pain, ADL, and depression), aiming to identify the influencing factors of the unmet needs of the residents. RESULTS: The effective sample size involved 2063 older adults (63.4% female versus 36.6% male), with a response rate of 98.5%. The median and inter-quartile range of the total needs and unmet needs of the sample was 3(1, 4) and 0(0, 1) respectively, with 122 older participants having more than 3 unmet needs (high unmet need category) versus 1922 older ones having ≤ 3 unmet needs (low unmet need category). The unmet needs of older adults in nursing homes mainly fell into social domains. Gender, religion, educational background, marital status, living condition before admission, room type, incomes, staffing, number of diseases, pain, Barthel Index, and depression were contributive to unmet needs of older adults in long-term care facilities in the final model that was adjusted for all levels of variables (all p < 0.05). CONCLUSION: Understanding the influencing factors of the unmet needs of older adults in long term care provides clues for healthcare professionals to offer better care for this population. System-level support to nursing homes and training of staff are highlighted. Plus, taking measures to beef up social connections for the older adults to meet their social needs was suggested. BioMed Central 2022-12-22 /pmc/articles/PMC9773463/ /pubmed/36544110 http://dx.doi.org/10.1186/s12877-022-03699-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Huang, Deqin
Zeng, Tieying
Mao, Jing
Zhao, Meizhen
Wu, Meiliyang
The unmet needs of older adults living in nursing homes in Mainland China: a nation-wide observational study
title The unmet needs of older adults living in nursing homes in Mainland China: a nation-wide observational study
title_full The unmet needs of older adults living in nursing homes in Mainland China: a nation-wide observational study
title_fullStr The unmet needs of older adults living in nursing homes in Mainland China: a nation-wide observational study
title_full_unstemmed The unmet needs of older adults living in nursing homes in Mainland China: a nation-wide observational study
title_short The unmet needs of older adults living in nursing homes in Mainland China: a nation-wide observational study
title_sort unmet needs of older adults living in nursing homes in mainland china: a nation-wide observational study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773463/
https://www.ncbi.nlm.nih.gov/pubmed/36544110
http://dx.doi.org/10.1186/s12877-022-03699-9
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