Evidence map›Paper›PMID 37501173›Full record

ArticleBMC health services research2023

The influence of individual and municipality characteristics on allocation of long-term care services: a register-based cross-sectional study.

Lisa Victoria Burrell, Hanne Marie Rostad, Tore Wentzel-Larsen, Marianne Sundlisæter Skinner, Maren Kristine Raknes Sogstad

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Norwegian translation and adaptation of the INT4 version of the Adult Social Care Outcomes Toolkit (ASCOT).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  8. Observational
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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

5 authors.

Lisa Victoria BurrellCentre for Care Research, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway. lisa.v.burrell@ntnu.no.
Hanne Marie RostadCentre for Care Research, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway.
Tore Wentzel-LarsenCentre for Care Research, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway.
Marianne Sundlisæter SkinnerCentre for Care Research, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway.
Maren Kristine Raknes SogstadCentre for Care Research, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariation in service allocation between municipalities may arise as a result of prioritisation. Both individual and societal characteristics determine service allocation, but previous literature has often investigated these factors separately. The present study aims to map variation in allocation of long-term care services and investigate the extent to which service allocation is associated with characteristics related to the individual care recipient and the municipality.

methodsThis cross-sectional study used register data from the Norwegian Registry for Primary Health Care on all 250 687 individuals receiving municipal health and care services in Norway on 31 December 2019. These individual level data were paired with municipal level data from the Municipality-State-Reporting register and information on the care models in Norwegian long-term care services, derived from a nationwide survey. Multilevel analyses were used to identify individual and municipal factors that were associated with allocation of home care, practical assistance and long-term stay in institutions.

resultsIn total, 164 634 people received home care services and 97 380 received practical assistance per 31 December 2019. Furthermore, 64 404 received both types of home-based services and 31 342 people had a long-term stay in an institution. Increased disability was strongly associated with being allocated more hours of home care and practical assistance, as well as allocation of a long-term institutional stay. The amount of home care and practical assistance declined with increasing age, but the odds of institutional stay increased with age. Care recipients living alone received more home-based services, and women had higher odds of a long-term institutional stay. Significant associations between the proportion of elderly in nursing homes and allocation of a long-term institutional stay and more practical assistance emerged. Other associations with municipalities' structural characteristics and care service models were weak.

conclusionsThe influence of individual characteristics outweighed the contribution of municipality characteristics, and the results point to a limited influence of municipality characteristics on allocation of long-term care services.

Indexed as

Home Care ServicesLong-Term CareAgedCitiesCross-Sectional StudiesFemaleHumansNursing HomesCognitive impairmentHome care servicesLong-term careMultilevel analysisNursing homesPhysical disabilityRegister dataService allocation

Identifiers

PMID37501173
PMCPMC10373409

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Registered trials

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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.