Evidence map›Paper›PMID 37900027›Full record

ArticleFrontiers in public health2023

Designing a doctor evaluation index system for an online medical platform based on the information system success model in China.

Shuaibing Liu, Yunqiu Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shuaibing LiuDepartment of Medical Informatics, School of Public Health, Jilin University, Changchun, China.
Yunqiu ZhangDepartment of Medical Informatics, School of Public Health, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In the context of "internet + medical health" and emphasis on evaluation mechanism for medical and health talents in China, we design an evaluation index system for doctors on online medical platforms by synthesizing two patterns of existing online medical platforms, which is the first step to enhance the capabilities of doctors on online medical platforms. Methods: Based on the doctor evaluation model integrating information systems success model (ISS-DE model) and grounded theory, the evaluation indicators were obtained through expert interviews, offline medical institutions investigation, online platforms investigation, and literature research, and were assigned weights using the analytic hierarchy process (AHP) method. A working group composed of 23 experts was set up to review and determine the competency standards of doctors on the online medical platforms. Results: A new indicator framework covering 3 dimensions of system quality, service quality and information quality was constructed in this study. The index system included 3 first-level indicators, 8 s-level indicators and 60 third-level indicators, and each indicator was given different weightage. Conclusion: The complete index system constructed by the Delphi method in this study is suitable for China's online medical platforms, which will help to improve the quality of platforms and the ability of doctors, thus promoting the process of internet medical integration.

Indexed as

PhysiciansChinaGrounded TheoryHumansInformation SystemsDelphidoctor evaluationinformation system success modelonline medical platformservice quality

Identifiers

PMID37900027
PMCPMC10602723

What OpenQuestion holds

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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.