Evidence map›Paper›PMID 28681039›Full record

ArticleInvestigative and clinical urology2017

Prevalence and management status of urologic disease in geriatric hospitals in South Korea: A population-based analysis.

Jungyo Suh, Khae Hawn Kim, Sang Heon Lee, Hyung Suk Kim, Young Ju Lee, Sang Rim Lee, Chang Wook Jeong

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Article in Investigative and clinical urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Urology in India: Numbers and practice.Indian journal of urology : IJU : journal of the Urological Society of India
    Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jungyo SuhDepartment of Urology, Seoul National University College of Medicine, Seoul, Korea.
Khae Hawn KimDepartment of Urology, Gachon University Gil Medical Center, Incheon, Korea.
Sang Heon LeeDepartment of Urology, Seoul National University College of Medicine, Seoul, Korea.
Hyung Suk KimDepartment of Urology, Dongguk University Ilsan Medical Center, Goyang, Korea.
Young Ju LeeDepartment of Urology, Seoul National University College of Medicine, Seoul, Korea.
Sang Rim LeeCommunity Nursing Science, Seoul National University College of Nursing, Seoul, Korea.
Chang Wook JeongDepartment of Urology, Seoul National University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the prevalence and management status of urologic disease in geriatric hospitals in Korea. MATERIALS AND

methodsWe conducted population-based analyzed using cohort established by the National Health Insurance Service of Korea, which contains the medical insurance data of 1 million people from 2002 to 2013. The prevalence, prescription rate, and complication incidence of urologic disease in geriatric hospitals were compared with similar-sized general hospitals. We analyzed the changes that followed the adoption of the fixed sum medical fee per day for geriatric hospitals, which began in January 2008. Subgroup analysis was conducted in an elderly group and a propensity score matching (PSM) group.

resultsDuring this time, the number of geriatric hospitals exponentially increased over general hospitals (675.5%/y vs. 30.9%/y). The prevalence, prescription rate, and complication incidence of urologic disease was higher in geriatric hospitals than in general hospitals (2.1, 1.8, and 1.4 times higher). In the elderly group, the prevalence of urologic disorders was higher in geriatric hospitals than in general hospitals, but the prescription rate was lower (26.5% vs. 19.9% and 6.8% vs. 10.0%). This tendency also founded in the PSM analysis. After the medical fee system changed, diagnosis and prescription rates decreased in geriatric hospitals but increased in general hospitals.

conclusionsUrologic diseases are more prevalent yet management has some problem in geriatric hospitals. Lack of institutional urologists and changes in the medical payment system should be associated with this problem. Additional study and political support are needed to overcome this issue.

Indexed as

AgedBed OccupancyDrug PrescriptionsHealth Services for the AgedHospitalizationHospitals, GeneralHumansPrevalenceRepublic of KoreaUrological AgentsUrologic DiseasesUrological AgentsCohort studiesHealth services for the agedPhysicians' practice patternsPropensity scoreUrologic diseases

Identifiers

PMID28681039
PMCPMC5494353

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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.