Evidence map›Paper›PMID 23406653›Full record

ArticleScandinavian journal of public health2013

Socioeconomic differences in healthcare utilization, with and without adjustment for need: an example from Stockholm, Sweden.

Janne Agerholm, Daniel Bruce, Antonio Ponce de Leon, Bo Burström

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Article in Scandinavian journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 5 pooled it
4.7field-weighted citation impact, top 5% of its field
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

60 citing papers in PubMed, 5 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Janne AgerholmDepartment of Public Health Sciences, Karolinska Institutet, Centre for Epidemiology and Community Medicine, Stockholm County Council, Stockholm, Sweden. janne.agerholm@ki.se
Daniel Bruce
Antonio Ponce de Leon
Bo Burström
Karolinska Institutet · SEStockholm County Council · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimPrevious studies have shown varying degrees of inequity of utilization of healthcare in Sweden. Studies based solely on register data cannot take into account differences in health status while studies based solely on self-reported data from surveys may potentially have biased data on healthcare utilization. The aim of this study was to investigate socioeconomic differences in utilization of outpatient healthcare services in Stockholm County, comparing analysis based on only register data, with analysis based on health survey data linked to register data.

methodsWe linked data from a public health survey in Stockholm County 2006 (n = 34,707) to register data on sociodemographic background characteristics and outpatient healthcare utilization in 2007. Negative binomial regression analysis was used to estimate income differentials in healthcare utilization adjusting for self-rated health and limiting longstanding illness.

resultsIncome differentials in the number of visits to doctors were found in favour of lower-income groups among people aged 25-64 years when only controlling for age. When controlling for health status, income differentials in favour of higher-income groups were observed among men (all ages) and among women aged 65+ years, with higher-income groups having 11-49% more visits than the lowest income group.

conclusionsThe findings suggest that health status should be taken into account when analysing socioeconomic differences in healthcare utilization. When using only register based data there is a risk of underestimating or disregarding differences.

Indexed as

Health Services Needs and DemandAdultAgedAged, 80 and overDelivery of Health CareFemaleHealth Care SurveysHumansIncomeMaleMiddle AgedRegistriesSweden

Identifiers

PMID23406653
OpenAlexW1996498273

What OpenQuestion holds

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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.