Detecting and describing heterogeneity in health care cost trajectories among asylum seekers.

Asylum seekers Health care cost trajectories Health care utilization Recipients of emergency aid Switzerland

Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
30 Jul 2022
Historique:
received: 29 12 2021
accepted: 14 07 2022
entrez: 30 7 2022
pubmed: 31 7 2022
medline: 3 8 2022
Statut: epublish

Résumé

The mechanism underlying the health care cost trajectories among asylum seekers is not well understood. In the canton of Vaud in Switzerland, a nurse-led health care and medical Network for Migrant Health ("Réseau santé et migration" RESAMI) has established a health care model focusing on the first year after arrival of asylum seekers, called the "community health phase". This model aims to provide tailored care and facilitate integration into the Swiss health care system. The aim of this study is to explore different health care cost trajectories among asylum seekers during this phase and identify the associated factors. We detected different patterns of health care cost trajectories using time-series clustering of longitudinal data of asylum seekers in the canton of Vaud in Switzerland. These data included all adult asylum seekers and recipients of emergency aid who entered the canton between 2012 and 2015 and were followed until 2018. The different clusters of health care cost trajectories were then described using a multinomial logistic regression model. We identified a concave, an upward trending, and a downward trending cluster of health care cost trajectories with different characteristics being associated with each cluster. The likelihood of being in the concave cluster is positively associated with coming from the Eastern Mediterranean region or Africa rather than Europe and with a higher share of consultations with an interpreter. The likelihood of being in the upward trending cluster, which accrued the highest costs, is positively associated with 20-24-year-olds rather than older individuals, coming from Europe than any other region and having a mental disorder. In contrast to the other two clusters, the likelihood of being in the downward trending cluster is positively associated with having contacted the RESAMI network within the first month after arrival, which might indicate the potential of early intervention. It is also positively associated with older age and living in a group lodge. Asylum seekers are heterogeneous in terms of health care cost trajectories. Exploring these differences can help point to possible ways to improve the care and supporting services provided to asylum seekers. Our findings could indicate that early and patient-centered interventions might be well-suited to this aim.

Sections du résumé

BACKGROUND BACKGROUND
The mechanism underlying the health care cost trajectories among asylum seekers is not well understood. In the canton of Vaud in Switzerland, a nurse-led health care and medical Network for Migrant Health ("Réseau santé et migration" RESAMI) has established a health care model focusing on the first year after arrival of asylum seekers, called the "community health phase". This model aims to provide tailored care and facilitate integration into the Swiss health care system. The aim of this study is to explore different health care cost trajectories among asylum seekers during this phase and identify the associated factors.
METHODS METHODS
We detected different patterns of health care cost trajectories using time-series clustering of longitudinal data of asylum seekers in the canton of Vaud in Switzerland. These data included all adult asylum seekers and recipients of emergency aid who entered the canton between 2012 and 2015 and were followed until 2018. The different clusters of health care cost trajectories were then described using a multinomial logistic regression model.
RESULTS RESULTS
We identified a concave, an upward trending, and a downward trending cluster of health care cost trajectories with different characteristics being associated with each cluster. The likelihood of being in the concave cluster is positively associated with coming from the Eastern Mediterranean region or Africa rather than Europe and with a higher share of consultations with an interpreter. The likelihood of being in the upward trending cluster, which accrued the highest costs, is positively associated with 20-24-year-olds rather than older individuals, coming from Europe than any other region and having a mental disorder. In contrast to the other two clusters, the likelihood of being in the downward trending cluster is positively associated with having contacted the RESAMI network within the first month after arrival, which might indicate the potential of early intervention. It is also positively associated with older age and living in a group lodge.
CONCLUSIONS CONCLUSIONS
Asylum seekers are heterogeneous in terms of health care cost trajectories. Exploring these differences can help point to possible ways to improve the care and supporting services provided to asylum seekers. Our findings could indicate that early and patient-centered interventions might be well-suited to this aim.

Identifiants

pubmed: 35907845
doi: 10.1186/s12913-022-08346-y
pii: 10.1186/s12913-022-08346-y
pmc: PMC9339203
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

978

Informations de copyright

© 2022. The Author(s).

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Auteurs

Christina Tzogiou (C)

Winterthur Institute of Health Economics, Zurich University of Applied Sciences, Gertrudstrasse 15, 8401, Winterthur, Switzerland. christina.tzogiou@zhaw.ch.
Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland. christina.tzogiou@zhaw.ch.

Jacques Spycher (J)

Department of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté) University of Lausanne, Lausanne, Switzerland.

Raphaël Bize (R)

Department of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté) University of Lausanne, Lausanne, Switzerland.

Javier Sanchis Zozaya (J)

Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.

Jeremie Blaser (J)

General practitioner, Bevaix, Switzerland.

Brigitte Pahud Vermeulen (B)

Department of Vulnerabilities and Social Medicine, Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland.

Andrea Felappi (A)

Fondation AACTS (Addiction, Community Action, Social Work), Vevey, Switzerland.

Patrick Bodenmann (P)

Department of Vulnerabilities and Social Medicine, Center for Primary Care and Public Health (Unisanté) University of Lausanne, Lausanne, Switzerland.

Joachim Marti (J)

Department of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté) University of Lausanne, Lausanne, Switzerland.

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