Evidence map›Paper›PMID 31392852›Full record

ArticleJournal of Korean medical science2019

Chasms in Achievement of Recommended Diabetes Care among Geographic Regions in Korea.

Sanghyun Cho, Ji Yeon Shin, Hyun Joo Kim, Sang Jun Eun, Sungchan Kang, Won Mo Jang, Hyemin Jung, Yoon Kim, Jin Yong Lee

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Effects of Diabetes Quality Assessment on Diabetes Management Behaviors Based on a Nationwide Survey.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Need to Improve the Quality of Diabetes Care in Korea.Journal of Korean medical science · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Sanghyun Cho *Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2081-1076
Ji Yeon Shin *Department of Preventive Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID https://orcid.org/0000-0001-5434-0359
Hyun Joo KimDepartment of Nursing Science, Shinsung University, Dangjin, Korea.ORCID https://orcid.org/0000-0001-5784-3576
Sang Jun EunDepartment of Preventive Medicine, Chungnam National University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0001-5868-1679
Sungchan KangDepartment of Public Health Science, School of Public Health, Seoul National University, Seoul, Korea.ORCID https://orcid.org/0000-0002-4876-3205
Won Mo JangHealth Review and Assessment Committee, Health Insurance Review and Assessment Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-3277-7706
Hyemin JungDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7339-7983
Yoon KimDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7257-1679
Jin Yong LeeDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7752-2697
Seoul National University · KRChungnam National University · KRHealth Insurance Review and Assessment Service · KRKyungpook National University · KRShinsung University · KR

Funding

Korean National Health Insurance Service 2016-2-0011
6 · The paper itself

Abstract

backgroundAlthough effective care for type 2 diabetes (T2DM) is well known, considerable inadequate care has been still existed. Variations in achievement of the recommended quality indicators inT2DM care among small areas are not well known in Korea. This study examined the quality of care T2DM care and its geographical variations.

methodsWe used the national health insurance database and national health screening database. Seven quality indicators were used to evaluate continuity of care (medication possession ratio), process of care (hemoglobin A1c test, lipid profile, microalbuminuria test, and eye examination), and intermediate outcome (blood pressure control, and low-density lipoprotein control). Crude and age-standardized proportions were calculated for each 252 districts in Korea.

resultsAll quality indicators failed to achieve the recommended level. Only about 3% and 15% of the patients underwent eye examination and microalbuminuria test, respectively. Other indicators ranged from 48% to 68%. Wide variation in the quality existed among districts and indicators. Eye examination and microalbuminuria test varied the most showing tenfold (0.9%-9.2%) and fourfold (6.3%-28.9%) variation by districts, respectively. There were 32.4 and 42.7 percentage point gap between the best and the worst districts in hemoglobin A1c test and blood pressure control, respectively.

conclusionConsiderable proportion of T2DM patients were not adequately managed and quality of care varied substantially district to district. To improve the quality of diabetes care, it is necessary to identify the poor performance areas and establish a well-coordinated care system tailored to the need of the district.

Indexed as

Healthcare DisparitiesHealth StatusPatient ComplianceAdultAgedAged, 80 and overBlood PressureContinuity of Patient CareCross-Sectional StudiesDatabases, FactualDiabetes Mellitus, Type 2FemaleGeographyGlycated HemoglobinHealth Status DisparitiesHumansGlycated Hemoglobinhemoglobin A1c protein, humanLipoproteins, LDLDiabetes MellitusQuality of Health CareSmall Area Variation

Identifiers

PMID31392852
PMCPMC6689488
OpenAlexW2957241082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.