Evidence map›Paper›PMID 35859662›Full record

ArticleJournal of oncology2022

Factors Affecting Willingness on Sharing of Electronic Health Records Data: A Survey on Chinese Residents.

Ying He, Qiu He, Lun Li, Weihong Wang, Wenting Zha, Qian Liu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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. Article
  2. Article
  3. Observational
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ying HeSchool of Medicine, Hunan Normal University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0003-4328-9708
Qiu HeSchool of Medicine, Hunan Normal University, Changsha, Hunan, China.
Lun LiFaculty of Humanities and Social Sciences, Dalian University of Technology, Dalian, Liaoning, China.
Weihong WangSchool of Medicine, Hunan Normal University, Changsha, Hunan, China.
Wenting ZhaSchool of Medicine, Hunan Normal University, Changsha, Hunan, China.
Qian LiuSchool of Medicine, Hunan Normal University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: China has been promoting sharing of Electronic Health Records (EHRs) data for several years. However, only a few studies have explored the views of Chinese residents on sharing personal health data, and the factors that affect sharing of EHRs have not been fully elucidated. This study sought to explore public attitudes toward sharing EHRs and the factors that affect sharing of personal health data among Chinese residents. Methods: A multi-stage stratified sampling design was adopted in this survey to select residents in Hunan province, resulting in 932 responses randomly. The investigation was carried out with the administration of a 19-item questionnaire. The measure includes items on demographics, willingness to share EHRs, experiences on EHRs, public acknowledgment of the benefits of sharing EHRs, and public awareness of potential risks of sharing EHRs. Results: The score of general willingness to share EHRs was 5.784 ± 2.031. Concerning the domain scores for the willingness, the willingness to share EHRs for research was 2.060 ± 0.942, whereas sharing anonymization EHRs for other nonmedical services was only 1.805 ± 0.877. Multiple linear regression showed that general willingness to share EHRs was related to job-related healthcare ( Conclusion: The willingness to share EHRs data with Chinese residents was not high. The willingness of Chinese residents towards data sharing in EHRs is influenced by several factors, primarily job-related to healthcare, experiences on EHRs, public acknowledgment of the benefits of sharing EHRs, and public awareness of potential risks of sharing EHRs. The results provide a basis for related research and provide information for designing public health strategies such as formulating policies to improve public acceptance of sharing EHRs and promoting EHRs-based public health services.

Identifiers

PMID35859662
PMCPMC9293563

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Registered trials

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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.