Evidence map›Paper›PMID 19624832›Full record

ArticleBMC health services research2009

Sentinel monitoring of activity of out-of-hours services in Norway in 2007: an observational study.

Elisabeth Holm Hansen, Erik Zakariassen, Steinar Hunskaar

Abstract read
In one paragraph

Article in BMC health services research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Observational
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  16. Minor ailments in out-of-hours primary care: an observational study.Scandinavian journal of primary health care · 2011
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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

3 authors.

Elisabeth Holm HansenNational Centre for Emergency Primary Health Care, Unifob Health, Kalfarveien 31, NO-5018 Bergen, Norway. elisabeth.holm-hansen@isf.uib.no
Erik Zakariassen
Steinar Hunskaar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Norway, no valid activity statistics from the primary health care out-of-hours services or the pre-hospital emergency health care system have previously been available.

methodsThe National Centre for Emergency Primary Health Care has initiated an enterprise called "The Watchtowers" which consists of a representative sample of seven casualty clinics covering 18 Norwegian municipalities. The purpose of the project is to provide routine information over several years, which will enable monitoring, evaluation and comparison of the activities in the out-of-hours services. This paper presents data from 2007, the first full calendar year for the Watchtowers, analyzes some differences in user patterns for the seven casualty clinics involved, and estimates national figures for the use of casualty clinics and out-of-hours services in Norway.

resultsA total of 85 288 contacts were recorded during 2007 [399 per 1,000 inhabitants] of which 64,846 contacts were considered non-urgent [76.6%]. There were 53 467 consultations by a doctor [250 per 1,000], 8,073 telephone consultations by doctor [38 per 1,000], 2,783 home visits and call-outs by doctor [13 per 1,000] and 20,502 contacts managed by nurses on their own [96 per 1000]. The most common mode of contact was by telephone. Women, young children and elderly had the highest rates of contact.

conclusionNorway has a high rate of contacts to the out-of-hours services compared with some other countries with available data. Valid national figures and future research of these services are important both for local services and policy makers.

Indexed as

Sentinel SurveillanceAdolescentAdultAfter-Hours CareChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedNorway

Identifiers

PMID19624832
PMCPMC2720960

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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.