Evidence map›Paper›PMID 35059242›Full record

ReviewDiabetology international2022

Understanding the quality of diabetes care in Japan: a systematic review of the literature.

Joanna Mitri, Takehiro Sugiyama, Hirokazu Tanaka, Mitsuru Ohsugi, Robert A Gabbay

Abstract readReview
In one paragraph

Review in Diabetology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  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

5 authors.

Joanna MitriJoslin Diabetes Center, 1 Joslin Place, #239, Boston, MA 02215 USA.ORCID 0000-0002-3257-3618
Takehiro SugiyamaDiabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655 Japan.
Hirokazu TanakaDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Mitsuru OhsugiDiabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655 Japan.
Robert A GabbayJoslin Diabetes Center, 1 Joslin Place, #239, Boston, MA 02215 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong chronic diseases, diabetes is a frequent focus of performance measurement. Disease-specific indicators based on evidence-based clinical guidelines have been used to evaluate the quality of care. There are worldwide efforts to improve the quality of diabetes care. Measuring the gap is an essential first step toward improving the quality of care.

methodsIn order to better understand the status of quality of diabetes care in Japan, a country with a universal healthcare system, we performed a literature search looking for all studies reporting on quality indicators. In this review, we summarized the studies that have looked at the status of the quality of diabetes care over the last decade.

resultsThere were a total of 6 studies that reported on process including HbA1c, blood pressure, lipid screening, retinopathy and nephropathy screening and intermediate clinical measures which included percentages of patients reaching targets for HbA1c, blood pressure and LDL-C. Overall, the process measures continue to improve, however the clinical intermediate outcome measures remain suboptimal.

conclusionDespite the improvement in diabetes related process measures, there is limited data on clinical measures. It is necessary to shed more light on the assessment of the quality of diabetes care.

Indexed as

Diabetes careGuideline adherenceJapanQuality assessmentQuality indicators

Identifiers

PMID35059242
PMCPMC8733133

What OpenQuestion holds

Textmetadata
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.