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The factors of adaptation to nursing homes in mainland China: a cross-sectional study.

ABSTRACT: BACKGROUND:China is one of the most rapidly ageing countries and has the largest ageing population in the world. The demand for long-term care is increasing. Nursing home placement is one of the most stressful events in a person's life. Although research on relocation adjustment has been conducted in many countries, few studies have been related to the predictors of nursing home adjustment in mainland China. This study aimed to identify the predictors of nursing home adjustment in the context of filial piety in mainland China. METHODS:This was a descriptive study that employed a cross-sectional survey. A total of 303 residents from 22 nursing homes in Nanjing, China, were recruited. A structured questionnaire about residents' characteristics, activities of daily living, social support, resilience, and nursing home adjustment was administered. Multiple linear regression was used to identify the predictors of adaptation to nursing homes. RESULTS:The predictors of nursing home adjustment were the satisfaction with services(??=?.158, P?

SUBMITTER: Sun C

PROVIDER: S-EPMC7708906 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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The factors of adaptation to nursing homes in mainland China: a cross-sectional study.

Sun Changxian C Yu Yiting Y Li Xuxu X Cui Yan Y Ding Yaping Y Zhu Shuqin S Li Xianwen X Chen Shen S Zhou Rong R

BMC geriatrics 20201130 1

<h4>Background</h4>China is one of the most rapidly ageing countries and has the largest ageing population in the world. The demand for long-term care is increasing. Nursing home placement is one of the most stressful events in a person's life. Although research on relocation adjustment has been conducted in many countries, few studies have been related to the predictors of nursing home adjustment in mainland China. This study aimed to identify the predictors of nursing home adjustment in the co ...[more]

PMID: 33256628

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Project description:Background Hospice and palliative care nursing (HPCN) in China is mainly available at public primary care institutions, where nursing homes (NHs) are rarely involved. Nursing assistants (NAs) play an essential role in HPCN multidisciplinary teams, but little is known about their attitudes towards HPCN and related factors. Methods A cross-sectional study was designed to evaluate NAs’ attitudes towards HPCN with an indigenised scale in Shanghai. A total of 165 formal NAs were recruited from 3 urban and 2 suburban NHs between October 2021 and January 2022. The questionnaire was composed of four parts: demographic characteristics, attitudes (20 items with four sub-concepts), knowledge (nine items), and training needs (nine items). Descriptive statistics, independent samples t-test, one-way ANOVA, Pearson’s correlation, and multiple linear regression were performed to analyse NAs’ attitudes, influencing factors, and their correlations. Results A total of 156 questionnaires were valid. The mean score of attitudes was 72.44 ± 9.56 (range:55–99), with a mean item score of 3.6 ± 0.5 (range:1–5). The highest score rate was “perception of the benefits for the life quality promotion” (81.23%), and the lowest score rate was “perception of the threats from the worsening conditions of advanced patients” (59.92%). NAs’ attitudes towards HPCN were positively correlated with their knowledge score (r = 0.46, P < 0.01) and training needs (r = 0.33, P < 0.01). Marital status (β = 0.185), previous training experience (β = 0.201), location of NHs (β = 0.193), knowledge (β = 0.294), and training needs (β = 0.157) for HPCN constituted significant predictors of attitudes (P < 0.05), which explained 30.8% of the overall variance. Conclusion NAs’ attitudes towards HPCN were moderate, but their knowledge should be improved. Targeted training is highly recommended to improve the participation of positive and enabled NAs and to promote high-quality universal coverage of HPCN in NHs. Supplementary Information The online version contains supplementary material available at 10.1186/s12904-023-01175-8.

Project description:ObjectivesWe examined which resident-level clinical factors influence the provision of a recent medical care visit in nursing homes (NHs).DesignMulti-site cross-sectional.Setting and participantsWe extracted data on 3,556 NH residents from 18 NH facilities in Ontario, Canada, who received at minimum, an admission and first-quarterly assessment with the Resident Assessment Instrument Minimum Data Set (MDS) 2.0 between November 1, 2009, and October 31, 2017.MethodsWe conducted a secondary analysis of routinely collected MDS 2.0 data. The provision of a recent medical care visit by a physician (or authorized clinician) was assessed in the 14-day period preceding a resident's first-quarterly MDS 2.0 assessment. We utilized best-subset multivariable logistic regression to model the adjusted associations between resident-level clinical factors and a recent medical care visit.ResultsTwo thousand eight hundred fifty nine (80.4%) NH residents had one or more medical care visits prior to their first-quarterly MDS 2.0 assessment. Six clinically relevant factors were identified to be associated with recent medical care visits in the final model: exhibiting wandering behaviours (OR = 1.34, 95% CI 1.09 - 1.63), presence of a pressure ulcer (OR = 1.37, 95% CI 1.05 - 1.78), a urinary tract infection (UTI) (OR = 1.52, 95% CI 1.06 - 2.18), end-stage disease (OR = 9.70, 95% CI 1.32 - 71.02), new medication use (OR = 1.31, 95% CI 1.09 - 1.57), and analgesic use (OR = 1.24, 95% CI 1.03 - 1.49).Conclusions and implicationsOur findings suggest that resident-level clinical factors drive the provision of medical care visits following NH admission. Clinical factors associated with medical care visits align with the minimum competencies expected of physicians in NH practice, including managing safety risks, infections, medications, and death. Ensuring that NH physicians have opportunities to acquire and strengthen these competencies may be transformative to meet the ongoing needs of NH residents.

Project description:BackgroundIn 2018, the European Working Group on Sarcopenia in Older People (EWGSOP2) updated the original definition of sarcopenia, establishing new criteria to be used globally. Early diagnosis of sarcopenia in nursing home residents and the identification of contributing factors would target interventions to reduce the incidence of malnutrition, social isolation, functional decline, hospitalization and mortality.AimVerify the prevalence and the degree of severity of sarcopenia according to the new EWSGOP2 criteria and to analyse its associated factors in residents living in nursing homes in Central Catalonia (Spain).DesignA cross-sectional multicenter study was conducted in 4 nursing homes. SARC-F test was applied as the initial screening, muscle strength was measured by a dynamometer, skeletal muscle mass by bioimpedance analysis and physical performance by Gait Speed. Four categories were used: total probable sarcopenia, probable sarcopenia, confirmed sarcopenia and severe sarcopenia.ResultsAmong the total sample of 104 nursing home residents (mean age 84.6, ± 7.8; median 86, IQR 110), 84.6% were women and 85 (81.7%) (95% confidence interval [CI] 73.0-88.0) had total probable sarcopenia, 63 (60.5%) had probable sarcopenia, 19 (18.3%) had confirmed sarcopenia and 7 (6.7%) had severe sarcopenia. In the bivariate analysis, obesity was negatively associated and total time in sedentary behavior positively associated with all sarcopenia categories. In addition, malnutrition and urinary continence were positively associated with total and probable sarcopenia. Urinary incontinence was a positive associated factor of total and probable sarcopenia. In the multivariate analysis, obesity represented a negative associated factor: OR = 0.13 (0.03 - 0.57), p = 0.007 and OR = 0.14 (0.03 - 0.60), p = 0.008 with total and probable sarcopenia, respectively, adjusted by urinary incontinence status. For confirmed sarcopenia, obesity also represented a negative associated factor OR = 0.06 (0.01 - 0.99), p = 0.049 and the total time in sedentary behavior a positive associated factor OR = 1.10 (1.00- 1.20), p = 0.040.ConclusionsAccording the EWGSOP2 criteria, high prevalence of sarcopenia was found in institutionalized older people, ranging from 6.7 to 81.7% depending on the category. Malnutrition, urinary incontinence and total time in sedentary behavior were associated with sarcopenia, whilst obesity represented a protective factor in this population.

Project description:BACKGROUND:Sleep problems have become the most common complaints among the elderly. There are a few studies that explored the prevalence of poor sleep quality and its associated factors among the elderly in nursing homes. Therefore, this study aimed to examine the prevalence of poor sleep quality and its associated factors among the Chinese elderly in nursing homes. METHODS:A total of 817 elderly residents, from 24 nursing homes, were included in this cross-sectional study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep quality was defined as PSQI >5. Multiple binary logistic regression was used to estimate the strength of the association between risk factors and poor sleep quality in terms of adjusted odds ratios (AORs) and their 95% confidence intervals (CIs), and interactions of risk factors for poor sleep quality were also examined. RESULTS:The prevalence of poor sleep quality was 67.3% (95% CI: 64.0, 70.5%) among the Chinese elderly in nursing homes. Multiple binary logistic regression results showed that participants with the following characteristics had an increased risk of poor sleep quality after adjustments for other confounders: being 70-79 years old (AOR: 1.78, 95% CI: 1.08, 2.92) or 80 years old and above (AOR: 2.67, 95% CI: 1.68, 4.24); having one to two kinds of chronic diseases (AOR: 2.05, 95% CI: 1.39, 3.01) or three or more kinds of chronic diseases (AOR: 2.35, 95% CI: 1.39, 4.00); depression symptoms (AOR: 1.08, 95% CI: 1.04, 1.11), anxiety symptoms (AOR: 1.11, 95% CI: 1.05, 1.18), and social support(AOR: 0.97, 95% CI: 0.95, 0.99). Additive interactions were detected between age and anxiety symptoms (AOR: 8.34, 95% CI: 4.43, 15.69); between chronic disease and anxiety symptoms (AOR: 8.61, 95% CI; 4.28, 17.31); and between social support and anxiety symptoms (AOR: 6.43, 95% CI: 3.22, 12.86). CONCLUSIONS:The prevalence of poor sleep quality among the elderly in nursing homes is relatively high. Besides, anxiety symptoms has additive interactions with age, chronic disease and social support for poor sleep quality. These findings have significant implications for interventions that aim to improve sleep quality among elderly residents in nursing homes.

Dataset Information

The factors of adaptation to nursing homes in mainland China: a cross-sectional study.

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The factors of adaptation to nursing homes in mainland China: a cross-sectional study.

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