Evidence map›Paper›PMID 33182479›Full record

ArticleInternational journal of environmental research and public health2020

The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality.

Yu-Ping Lee, Hsin-Yeh Tsai, Athapol Ruangkanjanases

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Automated patient self-scheduling: case study.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  6. Article
  7. Article
  8. 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

3 authors.

Yu-Ping LeeDepartment of Business Administration, Shu-Te University, Hengshan Road, No. 59, Kaohsiung 82445, Taiwan.ORCID 0000-0002-1737-1137
Hsin-Yeh TsaiDepartment of Business Administration, Shu-Te University, Hengshan Road, No. 59, Kaohsiung 82445, Taiwan.
Athapol RuangkanjanasesChulalongkorn Business School, Chulalongkorn University, 254 Phayathai Road, Bangkok 10330, Thailand.ORCID 0000-0001-6766-5785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared to other appointment methods in public hospitals, registering through the Internet or utilizing e-appointments, or registering online as an outpatient, can provide more information to the user. This research investigated the integration of unified theory of the acceptance and use of technology and information system quality in determining factors that influence the adoption of e-appointments by patients, based on the requirements of food safety consultation in Taiwan. Empirical data from 369 valid samples were assessed using Partial Least Squares (PLS). The key findings of this study indicated that patients' acceptance of e-appointments was influenced by users' perceptions (i.e., performance expectancy and facilitating conditions), along with information quality and service quality. The practical and academic implications are provided for future practitioners and scholars, and to enhance patients' usage of e-appointments in their healthcare activities.

Indexed as

Information SystemsIntentionPublic HealthAdultFemaleFood SafetyHumansMaleMiddle AgedTaiwanYoung Adulte-appointmentinformation system quality (ISQ)partial least squares (PLS)public medical servicespush notifications of food safetyunified theory of the acceptance and use of technology (UTAUT)

Identifiers

PMID33182479
PMCPMC7665118

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.