Evidence map›Paper›PMID 30559840›Full record

ArticleOpen access Macedonian journal of medical sciences2018

Usability Evaluation of an Admission, Discharge, and Transfer Information System: A Heuristic Evaluation.

Zahra Ebnehoseini, Mahmood Tara, Marziyhe Meraji, Kolsoum Deldar, Farnaz Khoshronezhad, Sanaz Khoshronezhad

Abstract read
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Article in Open access Macedonian journal of medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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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 synthesis or guideline 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

6 authors.

Zahra EbnehoseiniStudents Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahmood TaraDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Marziyhe MerajiDepartment of Medical Records and Health Information Technology, Faculty of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
Kolsoum DeldarFaculty of Medicine, Department of Health Information Technology, Shahroud University of Medical Sciences, Shahroud, Iran.
Farnaz KhoshronezhadStudents Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Sanaz KhoshronezhadStudents Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdmission, discharge and, transfer (ADT) process is one of the most important hospital workflows. ADT system is a part of a hospital information system (HIS).

aimThe objective of this study was to evaluate the usability of the ADT system.

methodsThe study performed at Mashhad University of Medical Sciences (MUMS) hospitals. Data collection instrument was a validated checklist of Pierotti heuristic evaluation. To determine the severity of usability problems, a hybrid of Nielson and Tampere unit for computer-human interaction (TAUCHI) severity scaling algorithm was used. Usability problems were divided into five categories (major, severe, minor, cosmetic, and technical). Six experts evaluated the ADT system independently. According to TAUCHI severity scale, if a feature has not yet been implemented in the ADT system, evaluators considered it a technical usability problem. Therefore, usability problems due to non-design feature in the ADT system were identified. Finally, the mean severity of each usability problems was calculated.

resultsA total of 186 usability problems were identified. The frequency of major, sever, minor and cosmetic usability problems were 2, 65, 69 and 50, respectively. A total of 55 usability problems by the evaluators were recognised as technical problems. The highest mismatch with usability principles was related to the "recognition rather than recall". The range of the mean severity of usability problems was between 0-2.31.

conclusionsOur result showed that although implementation of IHIS on a large scale, it still suffered from unresolved usability problems. Identification of usability problems and evaluation of their level of severity, which was simultaneously performed in this study, can be used as a guide to evaluate the usability of other HISs.

Indexed as

AdmissionDischarge and Transfer (ADT)Health information systemsHeuristic EvaluationHospital Information Systemsusability

Identifiers

PMID30559840
PMCPMC6290422

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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.