Evidence map›Paper›PMID 31324684›Full record

ArticleBMJ open2019

Regional variation of avoidable hospitalisations in a universal health care system: a register-based cohort study from Finland 1996-2013.

Kristiina Manderbacka, Martti Arffman, Markku Satokangas, Ilmo Keskimäki

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Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

4 authors.

Kristiina ManderbackaService System Research, National Institute for Health and Welfare (THL), Helsinki, Finland.ORCID 0000-0003-3668-5382
Martti ArffmanService System Research, National Institute for Health and Welfare (THL), Helsinki, Finland.
Markku SatokangasService System Research, National Institute for Health and Welfare (THL), Helsinki, Finland.
Ilmo KeskimäkiService System Research, National Institute for Health and Welfare (THL), Helsinki, Finland.

Funding

Medical Research Council
6 · The paper itself

Abstract

objectivesA persistent finding in research concerning healthcare and hospital use in Western countries has been regional variation in the medical practices. The aim of the current study was to examine trends in the regional variation of avoidable hospitalisations, that is, hospitalisations due to conditions treatable in ambulatory care in Finland in 1996-2013 and the influence of different healthcare levels on them.

settingUse of hospital inpatient care in 1996-2013 among the total population in Finland.

participantsAltogether 1 931 012 hospital inpatient care episodes among all persons residing in Finland identified from administrative registers in Finland in 1996-2013 and alive in 1 January 1996. OUTCOME MEASURES: We examined hospitalisations due to avoidable causes including vaccine-preventable hospitalisations, hospitalisations due to complications of chronic conditions and acute conditions treatable in ambulatory care. We calculated annual age-adjusted rates per 10 000 person-years. Multilevel models were used for studying time trends in regional variation.

resultsThere was a steep decline in avoidable hospitalisation rates during the study period. The decline occurred almost exclusively in hospitalisations due to chronic conditions, which diminished by about 60%. The overall correlation between hospital district intercepts and slopes in time was -0.46 (p<0.05) among men and -0.20 (ns) among women. Statistically highly significant diminishing variation was found in hospitalisations due to chronic conditions among both men (-0.90) and women (-0.91). The variation was mainly distributed to the hospital district level.

conclusionsThe results suggest that chronic conditions are managed better in primary care in the whole country than before. Further research is needed on whether this is the case or whether this has more to do with supply of hospital care.

Indexed as

Universal Health CareAcute DiseaseAdultAgedAged, 80 and overAmbulatory CareChronic DiseaseCohort StudiesFemaleFinlandHospitalizationHumansMaleMiddle AgedPrimary Health CareRegistriesprimary carequality in health care

Identifiers

PMID31324684
PMCPMC6661699

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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.