Evidence map›Paper›PMID 37279543›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2023

Developing online medical service quality indicators in China from the perspective of online and offline integration: a modified Delphi-analytic hierarchy process study.

Zhenlin Li, Rui Guo

Open access · hybridAbstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2023. 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
3.1field-weighted citation impact, top 9% 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, 7 citations in OpenAlex.

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  8. Frameworks for Health Care Quality and Disparities in Health Care Quality: A Scoping Review.Journal for healthcare quality : official publication of the National Association for Healthcare Quality
    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

2 authors at 1 institution in 1 country.

Zhenlin LiSchool of Public Health, Capital Medical University, Beijing 100069, People's Republic of China.
Rui GuoSchool of Public Health, Capital Medical University, Beijing 100069, People's Republic of China.ORCID 0000-0001-8147-2736
Capital Medical University · CN

Funding

Beijing Municipal Commission of Education SZ202210025010National Natural Science Foundation of China 72174131
6 · The paper itself

Abstract

Online medical services (OMSs) are developing rapidly worldwide, and policies encourage the integrated development of online and offline services in China. However, there is a lack of comprehensive and systematic quality indicators for OMSs to ensure patients' safety. This study aimed to construct a set of quality indicators from the perspective of online and offline integration to provide a basis for the evaluation and management of OMS quality. Based on the literature review, we included 53 potential indicators. In two rounds of consultations, we invited 21 and 19 experts, respectively, to rate the importance and feasibility of each indicator via email. We used the modified Delphi method and analytic hierarchy process to determine the final indicators and their weights. We used experts' positive coefficient, authority coefficient, and opinion coordination degree to test the reliability and validity of experts. After two rounds of Delphi consultation, the experts' positive coefficients were 90.48% and 89.47%, respectively, and the authoritative coefficients were both >0.7. An OMS quality index system for public hospitals in China was developed with 4 primary indicators, 13 secondary indicators, and 34 tertiary indicators. Among the primary indicators, the weights of structure, process, outcome, and integration quality were 0.22, 0.26, 0.34, and 0.18, respectively. We constructed the first set of OMS quality indicators for public hospitals in China from the perspective of online and offline integration. It could be applied as a standardized and meaningful guide for OMS evaluation and quality development.

Indexed as

Analytic Hierarchy ProcessQuality Indicators, Health CareChinaDelphi TechniqueHumansReproducibility of ResultsSurveys and Questionnairesintegration qualityonline medical servicepublic hospitalquality improvementquality indicators

Identifiers

PMID37279543
PMCPMC10275532
OpenAlexW4379599832

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.