A multi-level perspective on perceived unmet needs for home support in home-dwelling older adults in the Swiss context: a secondary data analysis of a population study.


Journal

BMC geriatrics
ISSN: 1471-2318
Titre abrégé: BMC Geriatr
Pays: England
ID NLM: 100968548

Informations de publication

Date de publication:
03 11 2022
Historique:
received: 17 05 2022
accepted: 26 09 2022
entrez: 4 11 2022
pubmed: 5 11 2022
medline: 8 11 2022
Statut: epublish

Résumé

Unmet needs for home support occur when any support services perceived by older people as needed are not being received. Not meeting these needs can negatively impact older adults' quality of life, and increase health care utilization, hospitalizations, institutionalizations, or death. To date there is no consensus in how to define and assess these unmet needs. In parallel, previous research of factors associated with unmet needs for home support has mostly focused on factors at the micro level. Thus, this paper aims to identify the prevalence of unmet needs for home support among a home-dwelling older population and the factors at the macro, meso and micro levels contributing to them. Using an ecological approach we identified multi-level factors associated with the presence of unmet needs for home support among the home-dwelling older population (aged 75+) in Switzerland. This is a secondary cross-sectional analysis of the INSPIRE Population Survey of home-dwelling older adults (n = 8,508) living in Basel-Landschaft in Switzerland, conducted as part of the TRANS-SENIOR Project. Prevalence of perceived unmet needs for home support was self-reported, using a dichotomized question. Multiple logistic regression analyses were performed to investigate the associations of factors at each level with unmet needs for home support. 4.3% of participants reported unmet needs for home support, with a median age of 81 years. 45.1% had private health insurance and 6.3% needed additional government support. Being a recipient of other type of government support (OR = 1.65; 95% CI = 1.17-2.29) (macro-); the use of transportation services (OR = 1.74; 95% CI = 1.15-2.57) (meso-); and feeling depressed (OR = 1.40; 95% CI = 1.06-1.85) or abandoned (OR = 2.60; 95% CI = 1.96-3.43) (micro-) increased odds of having perceived unmet needs for home support. Having a private health insurance (macro-) (OR = 0.63; 95% CI = 0.49-0.80), speaking Swiss-German (OR = 0.44; 95% CI = 0.24-0.88) or German (OR = 0.47; 95% CI = 0.24-0.98), having a high level of education [primary (OR = 0.48; 95% CI = 0.24-1.02); secondary (OR = 0.49; 95% CI = 0.25-1.03); tertiary (OR = 0.38; 95% CI = 0.19-0.82); other (OR = 0.31 (0.12-0.75)], having a high score of self-perceived health status [score ≥ 76 (OR = 0.42; 95% CI = 0.20-0.96)] and having informal care (OR = 0.57; 95% CI = 0.45-0.73), among others (micro-) were associated with decreased odds of having perceived unmet needs for home support. Our study findings highlight the role of socio-economical inequality in the perception of unmet needs for home support in home-dwelling older adults. In order to address unmet needs in home-dwelling older adults, healthcare leaders and policy makers should focus on strategies to reduce socio-economic inequalities at the different levels in this population.

Sections du résumé

BACKGROUND
Unmet needs for home support occur when any support services perceived by older people as needed are not being received. Not meeting these needs can negatively impact older adults' quality of life, and increase health care utilization, hospitalizations, institutionalizations, or death. To date there is no consensus in how to define and assess these unmet needs. In parallel, previous research of factors associated with unmet needs for home support has mostly focused on factors at the micro level. Thus, this paper aims to identify the prevalence of unmet needs for home support among a home-dwelling older population and the factors at the macro, meso and micro levels contributing to them.
METHODS
Using an ecological approach we identified multi-level factors associated with the presence of unmet needs for home support among the home-dwelling older population (aged 75+) in Switzerland. This is a secondary cross-sectional analysis of the INSPIRE Population Survey of home-dwelling older adults (n = 8,508) living in Basel-Landschaft in Switzerland, conducted as part of the TRANS-SENIOR Project. Prevalence of perceived unmet needs for home support was self-reported, using a dichotomized question. Multiple logistic regression analyses were performed to investigate the associations of factors at each level with unmet needs for home support.
RESULTS
4.3% of participants reported unmet needs for home support, with a median age of 81 years. 45.1% had private health insurance and 6.3% needed additional government support. Being a recipient of other type of government support (OR = 1.65; 95% CI = 1.17-2.29) (macro-); the use of transportation services (OR = 1.74; 95% CI = 1.15-2.57) (meso-); and feeling depressed (OR = 1.40; 95% CI = 1.06-1.85) or abandoned (OR = 2.60; 95% CI = 1.96-3.43) (micro-) increased odds of having perceived unmet needs for home support. Having a private health insurance (macro-) (OR = 0.63; 95% CI = 0.49-0.80), speaking Swiss-German (OR = 0.44; 95% CI = 0.24-0.88) or German (OR = 0.47; 95% CI = 0.24-0.98), having a high level of education [primary (OR = 0.48; 95% CI = 0.24-1.02); secondary (OR = 0.49; 95% CI = 0.25-1.03); tertiary (OR = 0.38; 95% CI = 0.19-0.82); other (OR = 0.31 (0.12-0.75)], having a high score of self-perceived health status [score ≥ 76 (OR = 0.42; 95% CI = 0.20-0.96)] and having informal care (OR = 0.57; 95% CI = 0.45-0.73), among others (micro-) were associated with decreased odds of having perceived unmet needs for home support.
CONCLUSION
Our study findings highlight the role of socio-economical inequality in the perception of unmet needs for home support in home-dwelling older adults. In order to address unmet needs in home-dwelling older adults, healthcare leaders and policy makers should focus on strategies to reduce socio-economic inequalities at the different levels in this population.

Identifiants

pubmed: 36329389
doi: 10.1186/s12877-022-03479-5
pii: 10.1186/s12877-022-03479-5
pmc: PMC9635119
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

833

Informations de copyright

© 2022. The Author(s).

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Auteurs

Maria Jose Mendieta (MJ)

Department of Public Health, Institute of Nursing Science, University of Basel, Basel, Switzerland.
Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, KU Leuven, Leuven, Belgium.

Sabina M De Geest (SM)

Department of Public Health, Institute of Nursing Science, University of Basel, Basel, Switzerland. sabina.degeest@unibas.ch.
Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, KU Leuven, Leuven, Belgium. sabina.degeest@unibas.ch.
Medizinische Fakultät, Department of Public Health (DPH), Universität Basel, Bernoullistrasse 28, 4056, Basel, Switzerland. sabina.degeest@unibas.ch.

Geert Goderis (G)

Department of Public Health and Primary Care, Academic Center of General Practice, KU Leuven, Leuven, Belgium.

Olivia Yip (O)

Department of Public Health, Institute of Nursing Science, University of Basel, Basel, Switzerland.

Mieke Deschodt (M)

Department of Public Health and Primary Care, Gerontology and Geriatrics, KU Leuven, Leuven, Belgium.
Competence Center of Nursing, University Hospitals Leuven, Leuven, Belgium.

Suzanne Dhaini (S)

Department of Public Health, Institute of Nursing Science, University of Basel, Basel, Switzerland.

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