Evidence map›Paper›PMID 16385652›Full record

ArticleYonsei medical journal2005

Determinants of private clinics' productivity: a comparison of city and county clinics in Korea.

Seung-Hm Yu, Sang-A Kim, Woong-Sub Park

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Yonsei medical journal, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Seung-Hm YuDepartment of Preventive Medicine and Public Health, Kwandong University College of Medicine, 522 Naegok, Gangneung, Gangwon 210-701, Korea.
Sang-A Kim
Woong-Sub Park

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was designed to assess determinants of private clinics' productivity, and to compare city and county clinics in South Korea. We analyzed the revenue and patient data from all 9,212 private clinics in South Korea. This data was obtained from the Korean National Health Insurance Corporation, during the period between 1996 and 1999. We used a mixed model for repeatedly measured data. The following listed variables were used in our analysis: sex and age of physician, number of beds of clinics, competitiveness of medical institution, inhabitants'incomes, the proportion of elderly in the administrative unit, and time effects. Age, sex, number of beds, and specialty were found to be the most relevant determinants for the productivity of private clinics in both urban and rural settings, and number of clinics and beds per 100,000 and income of the administrative unit were found to be significant determinants, but only in city environments.

Indexed as

Ambulatory Care FacilitiesCitiesEfficiency, OrganizationalGeographyKoreaPrivate PracticeRural HealthUrban Health

Identifiers

PMID16385652
PMCPMC2810590

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.