Evidence map›Paper›PMID 35627595›Full record

ArticleInternational journal of environmental research and public health2022

Exploring Usability and Patient Attitude towards a Smart Hospital Service with the Technology Acceptance Model.

Jui-Che Tu, Shi Chen Luo, Yi-Lin Lee, Ming-Feng Shih, Shu-Ping Chiu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Jui-Che TuGraduate School of Design, National Yunlin University of Science & Technology, Yunlin 640301, Taiwan.
Shi Chen LuoGraduate School of Design, National Yunlin University of Science & Technology, Yunlin 640301, Taiwan.ORCID 0000-0003-2908-4685
Yi-Lin LeeBachelor Program in Industrial Technology, National Yunlin University of Science & Technology, Yunlin 640301, Taiwan.ORCID 0000-0002-7200-4735
Ming-Feng ShihNational Taiwan University Hospital Yunlin Branch, Yunlin 640301, Taiwan.
Shu-Ping ChiuLin Fengmian Academy of Fine Arts, Jiaying University, Meizhou 514015, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand for health care has increased with the development of global technology and the rise of public health awareness, and smart service systems have also been introduced to medical care to relieve the pressure on hospital staff. However, the survey found that patients' willingness to use smart services at the time of consultation has not improved. The main research purpose of this study was to understand the willingness of patients from various groups to use smart medical service systems and to explore the influencing factors on patients' use of smart service systems in hospitals through the technology acceptance model. This study distributed questionnaires in the outpatient area of National Taiwan University Hospital Yunlin Branch, and a total of 202 valid questionnaires were obtained. After related research and regression analysis, it was found that patients paid more attention to the benefits and convenience brought by smart services. If patients believed that smart services were trustworthy and beneficial to themselves, their usage intention and attitude would be positive. The results of this study are summarized by the following four points: (1) Designed according to the cultural conditions of different regions; (2) think about design from the patient's perspective; (3) strengthen the explanation and promotion of smart services; and (4) add humanized care and design. This study could be used as a reference for hospitals to improve their service quality and systems in the future.

Indexed as

HospitalsIntentionHumansPublic HealthSurveys and QuestionnairesTechnologysmart service systemtechnology acceptance modeluse willingness and attitude

Identifiers

PMID35627595
PMCPMC9141123

What OpenQuestion holds

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LicenceCC BY
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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.