Evidence map›Paper›PMID 39566066›Full record

ArticleJMIR public health and surveillance2024

Temporary Telemedicine Policy and Chronic Disease Management in South Korea: Retrospective Analysis Using National Claims Data.

Ji Ye Kang, Weon Jung, Hyun Ji Kim, Ji Hyun An, Hee Yoon, Taerim Kim, Hansol Chang, Sung Yeon Hwang, Jong Eun Park, Gun Tak Lee and 3 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. 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. Observational
  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

13 authors.

Ji Ye Kang *Department of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-3725-0017
Weon Jung *Department of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-1050-6131
Hyun Ji KimDepartment of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-9664-995X
Ji Hyun AnDepartment of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-1628-9617
Hee YoonDepartment of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-1297-9813
Taerim KimDepartment of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0001-8340-9511
Hansol ChangDepartment of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-2624-0008
Sung Yeon HwangDepartment of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-1352-3009
Jong Eun ParkDepartment of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-1058-990X
Gun Tak LeeDepartment of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-1714-1400
Won Chul ChaDepartment of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-2778-2992
Sejin Heo *Department of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0001-7387-4575
Se Uk Lee *Department of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-4201-2272

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince its introduction, telemedicine for patients with chronic diseases has been studied in various clinical settings. However, there is limited evidence of the effectiveness and medical safety of the nationwide adoption of telemedicine.

objectiveThis study aimed to analyze the effects of telemedicine on chronic diseases during the COVID-19 pandemic under a temporary telemedicine policy in South Korea using national claims data.

methodsHealth insurance claims data were extracted over 2 years: 1 year before (from February 24, 2019, to February 23, 2020) and 1 year after the policy was implemented (from February 24, 2020, to February 23, 2021). We included all patients who used telemedicine at least once in the first year after the policy was implemented and compared them with a control group of patients who never used telemedicine. The comparison focused on health care use; the medication possession ratio (MPR); and admission rates to general wards (GWs), emergency departments (EDs), and intensive care units (ICUs) using difference-in-differences analysis. A total of 4 chronic diseases were targeted: hypertension, diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), and common mental disorders.

resultsA total of 1,773,454 patients with hypertension; 795,869 patients with DM; 37,460 patients with COPD; and 167,084 patients with common mental disorders were analyzed in this study. Patients diagnosed with hypertension or DM showed increased MPRs without an increase in GW, ED, or ICU admission rates during the policy year. Moreover, patients in the DM group who did not use telemedicine had higher rates of ED, GW, and ICU admissions, and patients in the hypertension group had higher rates of GW or ICU admissions after 1 year of policy implementation. This trend was not evident in COPD and common mental disorders.

conclusionsThe temporary telemedicine policy was effective in increasing medication adherence and reducing admission rates for patients with hypertension and DM; however, the efficacy of the policy was limited for patients with COPD and common mental disorders. Future studies are required to demonstrate the long-term effects of telemedicine policies with various outcome measures reflecting disease characteristics.

Indexed as

COVID-19TelemedicineAdultAgedChronic DiseaseDisease ManagementFemaleHealth PolicyHumansInsurance Claim ReviewMaleMiddle AgedRepublic of KoreaRetrospective Studieschronic diseasesCOVID-19medication adherencepublic healthtelemedicine

Identifiers

PMID39566066
PMCPMC11618008

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LicenceCC BY
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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.