Evidence map›Paper›PMID 38539126›Full record

ArticleBMC public health2024

The individuals' awareness and adoption of electronic health records in China: a questionnaire survey of 1,337 individuals.

Yizhou Xu, Zongmin Pei, Xing He, Lu Guo, Li Zeng, Xiaoxuan Huang, Jian Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Yizhou Xu *Department of Operations Management, Sichuan Provincial People's Hospital, School of medicine, University of Electronic Science and Technology of China, Chengdu, China.
Zongmin Pei *Department of Psychosomatic Medicine, Chengdu Seventh people's Hospital (Affiliated Cancer Hospital of Chengdu Medical College), Chengdu, China.
Xing HeDepartment of Pulmonary and Critical Care Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Lu GuoDepartment of Pulmonary and Critical Care Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Li ZengDepartment of Operations Management, Sichuan Provincial People's Hospital, School of medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xiaoxuan HuangDepartment of Operations Management, Sichuan Provincial People's Hospital, School of medicine, University of Electronic Science and Technology of China, Chengdu, China.
Jian ZhangDepartment of Operations Management, Sichuan Provincial People's Hospital, School of medicine, University of Electronic Science and Technology of China, Chengdu, China. 18980830656@163.com.
University of Electronic Science and Technology of China · CNChengdu Medical College · CN

Funding

Science & Technology Department of Sichuan Province 2022YFQ0094
6 · The paper itself

Abstract

backgroundElectronic health records (EHRs) are digital records of individual health information. However, their adoption and utilization remain low. This study explores the factors influencing the implementation of EHRs through a questionnaire survey to enhance individual awareness and adoption of EHRs.

methodsA questionnaire and an expert rating scale were developed sequentially, and the consistency of the scores from five experts was calculated using Kendall's W to generate a final questionnaire. A non-parametric test was utilized to analyze differences in continuous data that did not follow a normal distribution. Categorical variables were expressed as percentages (%), the chi-square test was employed for group comparisons, and multiple logistic regression was implemented to assess individuals' awareness and adoption of EHRs.

resultsIn total, 1,341 survey questionnaires were distributed between January and December 2022, with 1,337 valid responses (99.7%). The results indicated that the proportion of participants who were aware of EHRs and had a bachelor's degree or higher education, an income of ≥$700 per month, residence in urban areas, possessed self-care abilities, and underwent annual physical examinations was significantly higher than that without awareness of EHRs (P < 0.05), while in hearing problems and walking abilities was markedly lower than that of participants without awareness of EHRs (P < 0.05). Additionally, the proportion of individuals willing to self-manage EHRs was significantly higher than those reluctant to do so (P < 0.05) among participants with a bachelor's degree or higher education, an income of ≥$700 per month, residence in urban areas, possession of self-care abilities, annual physical examinations, hearing problems, and poor walking abilities. Age (Odds Ratio [OR] = 1.104, 95% Confidence Interval [CI] 1.001-1.028, P = 0.033), hearing problems (OR = 0.604, 95% CI 0.377-0.967, P = 0.036), self-care ability (OR = 5.881, 95% CI 1.867-18.529, P = 0.002), and annual physical examinations (OR = 3.167, 95% CI 2.31-4.34, P < 0.001) were independently associated with willingness to self-manage EHRs. Annual physical examination (OR = 2.507, 95%CI 1.585-2.669, P < 0.001) also independently made a difference to the awareness of EHRs.

conclusionsOur findings suggest that annual physical examinations, age, hearing problems, and self-care abilities are significant factors in assessing individuals' awareness and adoption of EHRs. Understanding the characteristics of individuals who are aware of or are willing to take advantage of EHRs plays a positive role in promoting their popularization and application.

Indexed as

Electronic Health RecordsIncomeChinaHumansLogistic ModelsSurveys and QuestionnairesDigitizationElectronic health recordPhysical examination

Identifiers

PMID38539126
PMCPMC10967175
OpenAlexW4393226305

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.