Evidence map›Paper›PMID 38053570›Full record

ArticleRisk management and healthcare policy2023

Who is Facing Higher Increased Demand After the Online-Offline Channel Integration? Evidence from Public Hospitals in China.

Heng Zhao, Xuejing Cao

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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.

Heng ZhaoSchool of Economics and Management, Tongji University, Shanghai, 200092, People's Republic of China.
Xuejing CaoSchool of Economics and Management, Tongji University, Shanghai, 200092, People's Republic of China.ORCID 0000-0002-9027-0543
Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In recent years, the medical industry has been significantly impacted by internet technology, especially with the growing integration of online and offline channel within public hospitals. Objective: Our study aims to explore the effects of hospitals' online-offline channel integration on doctors' offline visits and investigate how the effects of integration varied across doctors with different professional titles. Methods: Our study employs a panel dataset from a large comprehensive hospital in China and conducts staggered difference-in-differences (DID) approach. Results: We find that online-offline channel integration within public hospitals is associated with about 15.5% increase in offline visits, and the 1% growth of monthly number of online visits is associated with about 10.6% monthly offline visits increase. Furthermore, our results indicate that the effectiveness of online-offline channel integration is more pronounced for doctors with lower professional titles compared to those with higher professional titles. Conclusion: Our study provides evidence for policymakers and hospital managers that integrating online and offline channels can optimize the distribution of medical personnel resources within public hospitals. We recommend that young or less-experienced doctors actively participate in hospital-operated online platforms to enhance their professional skills through practical experience.

Indexed as

healthcareonline-offline channel integrationoperation managementpublic hospitalsstaggered difference-in-differences

Identifiers

PMID38053570
PMCPMC10695021
OpenAlexW4389154569

What OpenQuestion holds

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LicenceCC BY-NC
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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.