Evidence map›Paper›PMID 35885773›Full record

ArticleHealthcare (Basel, Switzerland)2022

Analysis of Factors Hindering the Dissemination of Medical Information Standards.

Masami Mukai, Katsuhiko Ogasawara

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. 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. Article
  2. Article
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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.

Masami MukaiGraduate School of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.ORCID 0000-0001-6315-6078
Katsuhiko OgasawaraFaculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.ORCID 0000-0001-5474-7861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many medical information standards are not widely used in Japan, and this hinders the promotion of the use of real-world data. However, the complex intertwining of many factors hindering the dissemination of medical information standards makes it difficult to solve this problem. This study analyzed and visualized relationships among factors that inhibit the dissemination of medical information standards. Five medical informatics experts affiliated with universities and hospitals were interviewed about the factors that hinder the dissemination of medical information standards in Japan. The presented factors were analyzed using the interpretive structural modeling (ISM) method and the decision-making trial and evaluation laboratory (DEMATEL) method. We found that "legislation" and "reliability" were important inhibiting factors for the dissemination of medical information standards in Japan. We also found a six-layered structure in which "reliability" was satisfied when "legislation" was in place and "expectations" and "personal information" were resolved. The DEMATEL analysis indicated the relationships and classifications of factors hindering the dissemination of medical information standards. Since the adoption of medical information standards does not directly lead to revenue for medical institutions, it is possible to meet the "expectation" of improving the quality of medical care by ensuring "legislation" and "reliability", that is, ensuring the dependability of medical treatment. The results of this study visually show the structure of the factors and will help solve the problems that hinder the effective and efficient spread of standards. Solving these problems may support the efficient use of real-world data.

Indexed as

DEMATELinhabitant factorISMreal-world data (RWD)standards

Identifiers

PMID35885773
PMCPMC9321384

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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.