Evidence map›Paper›PMID 39450055›Full record

ArticleHealth services insights2024

Navigating Rehabilitation Transitions at Street Level: A Qualitative Analysis of Municipal Service Allocation to Individuals With Complex Needs.

Maren Ekenes, Eike Wehling, Olin Oldeide

Abstract read
In one paragraph

Article in Health services insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Maren EkenesDepartment of Physical Medicine and Rehabilitation, Haukeland University Hospital, Bergen, Norway.ORCID https://orcid.org/0009-0006-4244-6854
Eike WehlingDepartment of Physical Medicine and Rehabilitation, Haukeland University Hospital, Bergen, Norway.
Olin OldeideDepartment of Health Promotion and Development, University of Bergen, Bergen, Norway.ORCID https://orcid.org/0000-0001-5620-8220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transition of patients with complex needs from hospital to municipal rehabilitation following moderate and severe brain injury is challenging. This qualitative study explored the municipal service allocation processes within such transitions. The caseworkers' comprehensive task of combining patients' preferences and needs, healthcare providers' recommendations and municipal guidelines and service allocation were analysed. Data comprised of patients' health records, meeting observations and semi-structured interviews with municipal staff, patients and next of kin. Results demonstrated that the issue of most concern was the location of where the patient was to continue municipal rehabilitation. Municipal caseworkers gathered extensive information, including recommendations from healthcare providers and preferences of patients and next of kin. These were frequently in contrast to the municipal guidelines' requirements and the services' organisational structure. The discrepancies led to tension, which was difficult to manoeuvre. This study indicates that incorporating individually tailored services into the daily service allocation practice can be demanding and even dilemmatic. The designated focus on the transition of patients with complex rehabilitation needs gives insights into how service allocation, user involvement and coordination policies are acted out in practice and may directly influence rehabilitation trajectories.

Indexed as

acquired brain injury (ABI)case workersComplex needsindividually tailored serviceslocationqualitative researchrehabilitation trajectory

Identifiers

PMID39450055
PMCPMC11500236

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.