Evidence map›Paper›PMID 25817986›Full record

ArticleJournal of epidemiology2015

Correlation between pediatrician supply and public health in Japan as evidenced by vaccination coverage in 2010: secondary data analysis.

Rie Sakai, Günther Fink, Wei Wang, Ichiro Kawachi

Abstract read
In one paragraph

Article in Journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Rie SakaiDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA, USA; Department of Medical Education, Juntendo University School of Medicine; Department of Pediatrics and Adolescent Medicine, Tokyo, Japan.
Günther Fink
Wei Wang
Ichiro Kawachi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn industrialized countries, assessment of the causal effect of physician supply on population health has yielded mixed results. Since the scope of child vaccination is an indicator of preventive health service utilization, this study investigates the correlation between vaccination coverage and pediatrician supply as a reflection of overall pediatric health during a time of increasing pediatrician numbers in Japan.

methodsCross-sectional data were collected from publicly available sources for 2010. Dependent variables were vaccination coverage for measles and diphtheria, pertussis, and tetanus (DPT) by region. The primary predictor of interest was number of pediatricians per 10,000-child population (pediatrician density) at the municipality level. Multivariate logistic regression models were used to estimate associations of interest, conditional on a large range of demographic and infrastructure-related factors as covariates, including non-pediatric physician density, total population, per capita income, occupation, unemployment rate, prevalence of single motherhood, number of hospital beds per capita, length of roads, crime rate, accident rate, and metropolitan area code as urban/rural status. The percentage of the population who completed college-level education or higher in 2010 was included in the model as a proxy for education level.

resultsPediatrician density was positively and significantly associated with vaccination coverage for both vaccine series. On average, each unit of pediatrician density increased odds by 1.012 for measles (95% confidence interval, 1.010-1.015) and 1.019 for DPT (95% confidence interval, 1.016-1.022).

conclusionsPolicies increasing pediatrician supply contribute to improved preventive healthcare services utilization, such as immunizations, and presumably improved child health status in Japan.

Indexed as

PediatricsAdolescentChildChild, PreschoolCross-Sectional StudiesHumansInfantJapanPhysiciansPublic HealthVaccinationWorkforce

Identifiers

PMID25817986
PMCPMC4411235

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