Evidence map›Paper›PMID 32268582›Full record

ArticleInternational journal of environmental research and public health2020

How to Reduce Excessive Use of the Health Care Service in Medical Aid Beneficiaries: Effectiveness of Community-Based Case Management.

Myung Ja Kim, Eunhee Lee

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

2 authors.

Myung Ja KimDepartment of Resident Welfare, Hwacheon County office, Hwacheon-gun, Ganwon-do 24125, Korea.
Eunhee LeeSchool of Nursing/Research Institute of Nursing Science, Hallym University, Chuncheon, Gangwon-do 24252, Korea.ORCID 0000-0002-4729-6692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community-based case management for medical aid beneficiaries was implemented in Korea to promote the rational use of medical care and stabilize the financial system. This study investigated the economic impact of community-based case management on reductions in healthcare utilization and costs. This was a program study using a national database to evaluate the effectiveness of community-based case management in changing not only healthcare utilization and costs but also client-centered outcomes using the NHI database and 198 regional databases. A total of 1741 case management clients were included in this study. The case management clients were categorized into three targeted groups and were provided individualized services according to the groups. Client-centered outcomes, such as health-related quality of life (QOL), self-care ability, and having a support system, increased after case management. Healthcare utilization and costs decreased significantly after case management. However, there was no significant difference in the decrease between the groups. An increase in healthcare utilization among medical aid beneficiaries has been observed due to the aging population and an increase in the number of recipients. To reduce healthcare utilization and costs while maintaining the health status of the beneficiaries, it is necessary to expand targeted case management.

Indexed as

Case ManagementHealth ServicesQuality of LifeAgedFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareRepublic of Koreacase managementhealth care costhealth care utilizationmedical aid program

Identifiers

PMID32268582
PMCPMC7177829

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.