Evidence map›Paper›PMID 35907845›Full record

ArticleBMC health services research2022

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

Christina Tzogiou, Jacques Spycher, Raphaël Bize, Javier Sanchis Zozaya, Jeremie Blaser, Brigitte Pahud Vermeulen, Andrea Felappi, Patrick Bodenmann, Joachim Marti

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Christina TzogiouWinterthur Institute of Health Economics, Zurich University of Applied Sciences, Gertrudstrasse 15, 8401, Winterthur, Switzerland. christina.tzogiou@zhaw.ch.
Jacques SpycherDepartment of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté) University of Lausanne, Lausanne, Switzerland.
Raphaël BizeDepartment of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté) University of Lausanne, Lausanne, Switzerland.
Javier Sanchis ZozayaDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Jeremie BlaserGeneral practitioner, Bevaix, Switzerland.
Brigitte Pahud VermeulenDepartment of Vulnerabilities and Social Medicine, Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland.
Andrea FelappiFondation AACTS (Addiction, Community Action, Social Work), Vevey, Switzerland.
Patrick BodenmannDepartment of Vulnerabilities and Social Medicine, Center for Primary Care and Public Health (Unisanté) University of Lausanne, Lausanne, Switzerland.
Joachim MartiDepartment of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté) University of Lausanne, Lausanne, Switzerland.
Centre universitaire de médecine générale et santé publique, Lausanne · CHUniversity of Lausanne · CHUniversity of Lucerne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsWe 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.

resultsWe 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.

conclusionsAsylum 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.

Indexed as

RefugeesTransients and MigrantsAdultDelivery of Health CareHealth Care CostsHumansReferral and ConsultationAsylum seekersHealth care cost trajectoriesHealth care utilizationRecipients of emergency aidSwitzerland

Identifiers

PMID35907845
PMCPMC9339203
OpenAlexW4288826266

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.