Evidence map›Paper›PMID 33819168›Full record

ArticleJournal of medical Internet research2021

A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study.

Wen-Hsun Tsai, Yi-Syuan Wu, Chia-Shiang Cheng, Ming-Hao Kuo, Yu-Tien Chang, Fu-Kang Hu, Chien-An Sun, Chi-Wen Chang, Ta-Chien Chan, Chao-Wen Chen and 2 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

12 authors.

Wen-Hsun TsaiGraduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.ORCID 0000-0002-0433-0918
Yi-Syuan WuGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.ORCID 0000-0001-9609-6489
Chia-Shiang ChengGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.ORCID 0000-0002-2298-8000
Ming-Hao KuoGraduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.ORCID 0000-0001-8423-7168
Yu-Tien ChangSchool of Public Health, National Defense Medical Center, Taipei, Taiwan.ORCID 0000-0002-1801-7041
Fu-Kang HuGraduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.ORCID 0000-0003-2983-9945
Chien-An Sun *Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.ORCID 0000-0001-9041-0537
Chi-Wen Chang *School of Nursing, College of Medicine, Chang-Gung University, Taoyuan, Taiwan.ORCID 0000-0001-8718-7522
Ta-Chien Chan *Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.ORCID 0000-0002-1685-783X
Chao-Wen Chen *Trauma and Critical Care Service Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.ORCID 0000-0002-8405-342X
Chia-Cheng Lee *Medical Informatics Office, Tri-Service General Hospital, Taipei, Taiwan.ORCID 0000-0002-7450-504X
Chi-Ming Chu *Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.ORCID 0000-0001-8563-1378

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe successful completion of medical practices often relies on information collection and analysis. Government agencies and medical institutions have encouraged people to use medical information technology (MIT) to manage their conditions and promote personal health. In 2014, Taiwan established the first electronic personal health record (PHR) platform, My Health Bank (MHB), which allows people to access and manage their PHRs at any time. In the face of the COVID-19 pandemic in 2020, Taiwan has used MIT to effectively prevent the spread of COVID-19 and undertaken various prevention measures before the onset of the outbreak. Using MHB to purchase masks in an efficient and orderly way and thoroughly implementing personal protection efforts is highly important to contain disease spread.

objectiveThis study aims to understand people's intention to use the electronic PHR platform MHB and to investigate the factors affecting their intention to use this platform.

methodsFrom March 31 to April 9, 2014, in a promotion via email and Facebook, participants were asked to fill out a structured questionnaire after watching an introductory video about MHB on YouTube. The questionnaire included seven dimensions: perceived usefulness, perceived ease of use, health literacy, privacy and security, computer self-efficacy, attitude toward use, and behavioral intention to use. Each question was measured on a 5-point Likert scale ranging from "strongly disagree" (1 point) to "strongly agree" (5 points). Descriptive statistics and structural equation analysis were performed using SPSS 21 and AMOS 21 software.

resultsA total of 350 valid questionnaire responses were collected (female: 219/350, 62.6%; age: 21-30 years: 238/350, 68.0%; university-level education: 228/350, 65.1%; occupation as student: 195/350, 56.6%; average monthly income <NT $30,000 [<US $1054.89]: 230/350, 65.7%; residence in northern Taiwan: 236/350, 67.4%; and health status perceived as "good": 171/350, 48.9%). Five indicators, including chi-square test (X

conclusionsFrom the perspective of the populace, this study explored the factors affecting the use of MHB and constructed an interpretation model with a strong goodness of fit. The results of our analysis are consistent with the technology acceptance model. Through the diverse value-added services of MHB, Taiwan's experience in pandemic prevention with smart technology can facilitate future responses to unknown, emerging infectious diseases.

Indexed as

MasksAdultCOVID-19Cross-Sectional StudiesDisease Transmission, InfectiousFemaleHumansInternetMalePandemicsSARS-CoV-2Surveys and QuestionnairesTaiwanTechnologyYoung AdultCOVID-19electronic health recordelectronic medical recordintentionliteracymodelmy health bankpersonal health recordprivacyprotectionsecuritystructural equation modelsurveytechnology acceptance modelusage

Identifiers

PMID33819168
PMCPMC8061895

What OpenQuestion 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 OpenQuestion graph.