Evidence map›Paper›PMID 27974368›Full record

ArticleBMJ open2016

Reinventing the community hospital: a retrospective population-based cohort study of a natural experiment using register data.

Jayson O Swanson, Terje P Hagen

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Trial
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  7. Observational
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  11. First four years of operation of a municipal acute bed unit in rural Norway.Scandinavian journal of primary health care · 2018
    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

2 authors.

Jayson O SwansonDepartment of Health Economics and Health Management, Institute of Health and Society, University of Oslo, Oslo, Norway.
Terje P HagenDepartment of Health Economics and Health Management, Institute of Health and Society, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate whether implementation of municipal acute bed units (MAUs) resulting from the Norwegian Coordination Reform (2012) was associated with reductions in hospital admissions, particularly for the elderly.

designA municipality-based retrospective comparative cohort study using monthly population-based registry data analysed with fixed-effects log-log regressions.

settingNorwegian municipalities and hospitals. POPULATION: All patients admitted to secondary hospital care in Norway between 2010 and 2014, excluding psychiatric admissions, with additional focus on admission type and elderly age subgroups.

main outcome measuresMonthly admission rates in total and by age group for all patients, patients admitted with acute conditions and with acute conditions at internal medicine departments.

resultsThe introduction of MAUs was associated with a small yet significant overall negative effect on hospital admissions. The reduction in all admissions was significant for the entire population (-1.2%, 95% CI -2.0% to -0.0%) and slightly stronger for those aged 80 years and above (-1.9%, 95% CI -3.0% to -1.0%). The more detailed analysis of the elderly population aged 80 years and above revealed that effects were affected by the institutional characteristics of the MAUs. The significant effects ranged between -1.6% and -8.6%, depending on the availability of physicians on duty at the MAUs, the MAUs location or combinations thereof.

conclusionsIntroduction of MAUs following implementation of the Norwegian Coordination Reform in 2012 was associated with a significant reduction in hospital admissions primarily for the elderly. Our findings suggest that this type of intermediate care is a viable option in an effort to alleviate the burden on hospitals by reducing the acute secondary care admission volume. Further examinations focused on cost-effectiveness, health status of patients, number of patients treated at the MAUs and comparing other intermediate care alternatives would all add important perspectives to the issue.

Indexed as

Internal MedicineAcute DiseaseAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHospitals, CommunityHospital UnitsHumansInfantInfant, NewbornMaleMiddle Agedelderlyhealthcare reformhospital admission ratesintermediate careregistry data

Identifiers

PMID27974368
PMCPMC5168673

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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.