Evidence map›Paper›PMID 32218128›Full record

ArticleJournal of clinical medicine2020

Unmet Medical Needs of Patients with Benign Prostate Enlargement.

Munjae Lee, Sewon Park, Mankyu Choi, Kyu-Sung Lee

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Medical expenses and its determinants in female patients with urological disorder.Cost effectiveness and resource allocation : C/E · 2024
    Article
  2. Article
  3. Article
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.

Munjae LeeDepartment of Medical Device Management and Research, SAIHST, Sungkyunkwan University, Seoul 06351, Korea.
Sewon ParkDepartment of Medical Device Management and Research, SAIHST, Sungkyunkwan University, Seoul 06351, Korea.
Mankyu ChoiDepartment of Public Health Science, Graduate School of Korea University, Seoul 02841, Korea.
Kyu-Sung LeeDepartment of Medical Device Management and Research, SAIHST, Sungkyunkwan University, Seoul 06351, Korea.

Funding

National Research Foundation of Korea NRF-2019S1A5A2A03040304
6 · The paper itself

Abstract

This study aimed to analyze the factors affecting the unmet medical needs of patients with benign prostate enlargement (BPE) based on Andersen's behavioral model. The data were taken from the 2009-2016 Korea Health Panel Study and 3003 participants were used for analysis. "Unmet medical needs" was used as a dependent variable. Independent variables were predisposing variables: age, educational attainment, and marital status; enabling factors: income, job type, and insurance type; and need factors: lying in a sickbed, activity limitation, subjective health status, and having chronic diseases. Results showed that younger patients experienced a higher probability of unmet medical needs. Those with higher educational attainment had a lower chance of experiencing unmet medical needs. Patients with national health insurance were less likely to experience unmet medical needs. In addition, patients who experienced lying in a sickbed had a higher probability of experiencing unmet medical needs. Therefore, in order to reduce the unmet medical needs of patients with BPE, it is necessary to allow patients to be treated early and give them accurate information about the disease. In addition, access to medical care should be strengthened through continuous care focused on primary care.

Indexed as

Andersen’s behavioral modelbenign prostate enlargementbenign prostatic hyperplasiacommunity careKoreaunmet medical needs

Identifiers

PMID32218128
PMCPMC7230821

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.