Evidence map›Paper›PMID 28465819›Full record

ArticleElectronic physician2017

Development of the UTAUT2 model to measure the acceptance of medical laboratory portals by patients in Shiraz.

Ramin Ravangard, Zhila Kazemi, Somaye Zaker Abbasali, Roxana Sharifian, Hossein Monem

Abstract read
In one paragraph

Article in Electronic physician, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Acceptance of Smart Technologies in Blended Learning: Perspectives of Chinese Medical Students.International journal of environmental research and public health · 2023
    Article
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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.

Ramin RavangardAssistant Professor in Healthcare Services Management, Health Human Resource Research Center, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Zhila KazemiM.Sc. in Medical Informatics, Student Research Committee, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Somaye Zaker AbbasaliPh.D. Student of Medical Informatics, Department of Management and Medical Information Sciences, Paramedical school, Tehran University of Medical Sciences, Tehran, Iran.
Roxana SharifianAssociate Professor in Health Information Management, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Hossein MonemAssistant Professor in Information Systems, Faculty of Paramedicine, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOne of the main stages for achieving the success is acceptance of technology by its users. Hence, identifying the effective factors in successful acceptance of information technology is necessary and vital. One such factor is usability. This study aimed to investigate the software usability in the "Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)" model in patients' use of medical diagnosis laboratories' electronic portals in 2015.

methodsThis cross-sectional study was carried out on 170 patients in 2015. A 27-item questionnaire adopted from previous research and the Usability Evaluation questionnaire were used for data collection. Data were analyzed using Structural Equation Modeling (SEM), with Partial Least Squares approach by SPSS 20.0 and Smart-PLS V3.0.

resultsThe results showed that the construct of intention to use had significant associations with price value (t-value=2.77), hedonic motivation (t-value=4.46), habit (t-value=1.99) and usability (t-value=5.2), as well as the construct of usage behavior with usability (t-value=3.45) and intention to use (t-value=2.03).

conclusionConsidering the results of this study, the following recommendations can be made in order for the higher use of portals by the patients: informing patients about the advantages of using these portals, designing portals in a simple and understandable form, increasing the portals' attractiveness, etc.

Indexed as

Information technology acceptanceLaboratory portalUsabilityUTAUT2

Identifiers

PMID28465819
PMCPMC5410918

What OpenQuestion holds

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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.