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Submitted: 15 Sep 2023
Revised: 01 Oct 2023
Accepted: 10 Oct 2023
First published online: 15 Oct 2023
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Avicenna J Care Health Oper Room. 1(2):38-43. doi: 10.34172/ajchor.32

Original Article

Usability Evaluation of Two National COVID-19 Registration Systems: A Heuristic Evaluation

Soheila Saeedi 1 ORCID logo, Shahrzad Amirazodi 2 ORCID logo, Sorayya Rezayi 3, * ORCID logo, Taleb Khodaveisi 1, * ORCID logo
1Department of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran,
2Department of Management and Health Information Technology, School of Management and Medical Information, Isfahan University of Medical Sciences, Isfahan, Iran
3Health Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
*Corresponding authors: Sorayya Rezayi, Email: sorayyarezayi702@gmail.com and Taleb Khodaveisi, Email: t.khodaveisi@gmail.com

Abstract

Background: Data related to COVID-19 are increasing daily; the data analysis of the COVID-19 registry can provide critical information to policymakers and researchers for planning. The poor user interface design of these systems leads to problems in interacting with them. The present study aimed to evaluate the usability of two national systems to record daily data related to COVID-19 patients throughout hospitals in Iran called the "Medical Care Monitoring Center" (MCMC) and the "Electronic System for Syndromic Surveillance of Infectious Diseases" (ISSS).

Methods: The interface of the aforementioned systems was assessed using a heuristic evaluation (HE) method in this descriptive, cross-sectional study. Using Nielsen’s 10 usability principles, three trained evaluators identified problems and determined each system’s severity rates independently.

Results: This evaluation identified 164 usability problems, including 59 issues in the "ISSS" system and 105 violations in the "MCMC" system. The highest number of ISSS system problems was related to "Consistency and standard" and "Flexibility and efficiency of use". The average severity of problems in this system varied from 2 concerning "Consistency and standards", "Help users recognize, diagnose, and recover from errors", and "Help and documentation" to 3.6 concerning "Visibility of system status". The highest number of MCMC system problems was associated with "Help and documentation" and "Consistency and standards". The average severity of problems in this system varied from 2 to 3.28 regarding "Help and documentation" and "Recognition rather than recall", respectively.

Conclusion: Errors may be decreased, data quality can be raised, and interactions can be enhanced by taking into account standards and guidelines for user interface design, such as the HE utilized in this work.

Keywords: Heuristic, Usability, Evaluation, Nielsen's principles, Registry systems

Copyright

© 2023 The Author(s); Published by Hamadan University of Medical Sciences.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Please cite this article as follows: Saeedi S, Amirazodi S, Rezayi S, Khodaveisi T. Usability evaluation of two national COVID-19 registration systems: a heuristic evaluation. Avicenna J Care Health Oper Room. 2023; 1(2):38-43. doi:10.34172/ajchor.32


Introduction

China reported cases of severe pneumonia with no known cause in December 2019, and the World Health Organization labeled the illness as a global pandemic on March 11, 2020. (1). This illness, also referred to as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is caused by the same family of viruses as Middle East respiratory syndrome and SARS (2,3). The coronavirus quickly spread to other countries and became a global problem. The clinical symptoms of COVID-19 usually begin less than a week after the coronavirus enters the body and can include shortness of breath, fever, muscle aches, nasal congestion, and other symptoms. The infection can lead to severe illness with shortness of breath and severe chest symptoms related to pneumonia in approximately 75% of patients (4).

Data related to COVID-19 are increasing day by day. Valuable knowledge can be extracted by managing data on COVID-19 registry. Developing a registry can lead to data collection on patients with COVID-19 in a standard, integrated, and unified structure (5). The disease’s progression can be investigated by collecting data in the registry, and the quality of care provided can be examined as well (6,7). On the other hand, drugs’ effectiveness can be evaluated with the help of data recorded in the registry (8). In addition, the data analysis results recorded in the registry can be provided to policymakers for planning. The COVID-19 registry can provide an infrastructure that can be used to investigate the pattern of disease transmission, mortality rate, clinical signs, disease prevalence in different parts of the country, the effectiveness of treatment programs, and thus monitoring and research (9-11).

“Medical Care Monitoring Center” (MCMC) and “Electronic System for Syndromic Surveillance of Infectious Diseases” (ISSS) are two systems that are used to record daily data related to COVID-19 patients in Iran. Both systems developed by the Ministry of Health are utilized as national systems throughout hospitals in Iran and have many users.

One of the problems that leads to the non-acceptance of these information systems is the problem related to user interface design and usability. These problems should be considered at the time of design of the user interface, before the implementation of these systems, and before the everyday use of information systems by users. The existence of usability problems can negatively affect the use of these systems and lead to abandonment and non-use by healthcare providers and, ultimately, the failure of an information system (12). Therefore, these two national systems’ usability should be evaluated to identify problems related to the design of their graphical interfaces in order to prevent further consequences.

One of the most common evaluation methods to identify usability problems is heuristic evaluation (HE). With this method’s help, a large number of system problems can be identified at a low cost, and many resources are not required for evaluation (13). One of the most widely used HE tools is Nielsen’s ten principles. In this method, the evaluators examine the systems independently and consider discrepancies between the items observed in the system design and these principles as a problem (14,15). In a study, Rangraz Jeddi et al evaluated a national system using the heuristic method. The study results showed that 61 unique problems were identified, of which 60.6% were categorized into major and catastrophic groups (16). This study confirmed that even the user interface design of nationally used systems has problems and can lead to non-acceptance by users. To the best of our knowledge, these two systems’ usability has not been studied so far. Therefore, this study investigated the two registries’ usability related to COVID-19 in Iran using the heuristic method.


Materials and Methods

Study Setting and Systems

This evaluation was performed with two national registry systems, namely, MCMC and ISSS. MCMC was created to arrange medical services monitoring through improving the quality of services, improving processes, handling effective communication, accelerating services, and integrating management. The fundamental purpose of establishing the ISSS system was to report community-based epidemics and early detection. In addition, these two surveillance systems are applied by healthcare providers to record COVID-19 patients’ information; however, it is worth noting that they were not designed only to monitor and record COVID-19. Because these two systems are currently used in the COVID-19 period, the primary purpose of this study was to evaluate them. HE is an expert-based inspection, cost-effective, and straightforward method that identifies “Minor” and “Major” violations in a system user interface. The usability evaluators independently appraised the MCMC and ISSS systems’ usability. This study identified usability problems related to the COVID-19 data registry. These results can be used by the designers and custodians of this system, the Ministry of Health, to improve these user interfaces and increase users’ satisfaction.

Characteristics of Evaluators

One health information technology (HIT) specialists and two medical informaticians assessed the user interfaces of two registry systems. The first and second evaluators were Ph.D. students in medical informatics who were familiar with different registry systems and various evaluation methods. They had more than two years of experience

working with “MCMC” and “ISSS”. The third evaluator was an MSc in HIT. She had experience working with two registration systems and was familiar with HE methods.

Heuristics Evaluation

First, three evaluators explored the user interface structures of the MCMC and ISSS systems. Next, they independently evaluated two registration systems’ user interfaces one by one against 10 Nielsen principles (Table 1) and entered the violations of the systems in the data collection checklist; each assessment lasted approximately 5 hours.

Table 1. Nielsen’s Usability Heuristics
Row Principles (Number of Questions) Brief Description
1Visibility of system status (29)Does the system’s design effectively equip the end-user with ample information and feedback regarding the ongoing operations within the system?
2Match between the system and the real world (24)Does the system’s architecture incorporate concepts and terminologies that resonate with the user’s real-world experiences, and are these elements organized in a logical sequence?
3User control and freedom (23)Has the system been architected to allow the user, in the event of an error, to revert to the pre-error state without necessitating a lengthy procedure?
4Consistency and standards (51)Does the system’s architecture adhere to universally accepted design conventions and rules, thereby maintaining consistent semantic interpretations?
5Error prevention (14)Has the system been architectured to proactively identify and rectify potential error conditions while also ensuring the provision of pertinent guidance messages as required?
6Recognition rather than recall (40)Has the system been structured such that its components, functionalities, and options are readily apparent to the user, thereby reducing the cognitive load?
7Flexibility and efficiency of use (15)Is the system designed to cater to the needs of both beginner and advanced users effectively?
8Aesthetic and minimalist design (12)Is the system engineered not to contain superfluous or seldom utilized information?
9Help users recognize, diagnose, and recover from errors (21)Do the error notifications provided by the system exhibit clarity, lack ambiguity, and propose appropriate resolutions?
10Help and documentation (23)Is the system designed to incorporate supplementary documentation to facilitate users in executing their tasks?

Data Analysis and Comparisons

Three checklists that were completed by evaluators for the MCMC system were reviewed in this phase. After duplicate problem removal, a single list of problems was created for this registration system. Therefore, evaluators completed three checklists for the ISSS system, and a single list of violations remained after duplication removal. Furthermore, negotiations were used to settle any disputes that arose between the evaluators. Finally, the severity of the problems was distinguished based on three main criteria, including frequency, impact, and persistence of the problem. Finally, the average severity of each system’s violations (MCMC and ISSS) was computed and stated based on Table 2. The main phases of evaluation are shown in Figure 1.

Table 2. Nielsen’s Severity Rating Scale for Usability Violations
Problem Severity Description
No problem0I don’t agree that this is a usability problem at all.
Cosmetic1It needs not be fixed unless extra time is available for the project.
Minor2Fixing this should be given low priority.
Major3It is important to fix, so it should be given high priority.
Catastrophe4It is imperative to fix this before the product can be released.
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Figure 1.

Main Steps of the HE Method. Note. HE: Heuristic evaluation



Results

In this study, evaluation was performed based on the HE method for “MCMC” and “ISSS” systems, and a total of 164 usability problems (for two evaluated systems) were identified after duplication removal. In the analysis step, three evaluators recognized 59 usability problems of the ISSS registration system. Further, they identified 105 unique violations of the MCMC registration system. In the ISSS system, the highest frequencies of violations were related to principles 4 (i.e., “Consistency and standard”) and 7 (i.e., “Flexibility and efficiency of use”). In the MCMC system, the highest frequencies of problems belonged to principles 10 (i.e., “Help and documentation”) and 4 (i.e., “Consistency and standards”). Based on ISSS system evaluation results, the highest average severities of violations were determined in the principles “Visibility of system status” and “User control and freedom”, with scores of 3.6 and 2.87, respectively. In the MCMC system evaluation, the highest average severities of usability-oriented problems were observed in principles “Recognition rather than recall” and “User control and freedom”, with scores of 3.28 and 2.88. Table 3 presents the frequencies of identified usability violations based on their severity and the heuristic problems for MCMC and ISSS systems. Of the total determined violations in the ISSS system, 24 and 21 cases were major and minor problems, respectively. Furthermore, in the MCMC system, 50 cases were minor and 36 of the total problems were major. The detailed severity range results for both systems are shown in Figure 2. Figure 3 illustrates several examples of violations, as well as the details of each problem and the number of each problem.

Table 3. Frequencies of Identified Usability Violations Based on Their Severity for ISSS and MCMC
Principles of Heuristic Evaluation System
ISSS Registration System MCMC Registration System
Average severity Severity No. of problems (%) Average severity Severity No. of problems (%)
Cosmetic Minor Major Catastrophe Cosmetic Minor Major Catastrophe
Visibility of system status3.600235 (8.33)2.6602406 (5.71)
Match between the system and the real world2.2503104 (6.66)2.6213228 (7.61)
User control and freedom2.8701708 (11.66)2.8802619 (8.57)
Consistency and standards233309 (16.66)2.91411420 (19.04)
Error prevention2.7510113(6.66)2.6604026 (5.71)
Recognition rather than recall302428 (13.33)3.2801337 (6.66)
Flexibility and efficiency of use2.4405409 (15.00)2.83136212 (11.42)
Aesthetic and minimalist design2.513127 (11.66)2.6062210 (9.52)
Help users recognize, diagnose, and recover from errors210102 (3.33)2.502204 (3.80)
Help and documentation204004 (6.66)20230023 (21.90)
Total2.5462124859 (100)2.693503616105 (100)

Note. ISSS: Electronic system for syndromic surveillance of infectious diseases; MCMC: Medical care monitoring center.

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Figure 2.

Heuristic Problem Frequency for ISSS (a) and MCMC (b) Sorted by Severity. Note. ISSS: Electronic system for syndromic surveillance of infectious diseases; MCMC: Medical care monitoring center


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Figure 3.

Six Examples of Usability Problems in the ISSS System. Note. ISSS: Electronic system for syndromic surveillance of infectious diseases; MCMC: Medical care monitoring center. P1: The use of colors with high chrome. P2: The title of the window is not distinct due to the small font size. P3: Inconsistency of menu options in language. P4: Numbers must be left-aligned. P5: Fields are not restricted in number of characters. P6: Illegibility and inappropriate arrangement of field labels



Discussion

In this study, MCMC and ISSS systems were evaluated using the heuristic method. The findings demonstrated that the MCMC system had a greater number of usability problems than the ISSS. Overall, 105 and 59 usability problems were identified in the HE of the MCMC and ISSS systems, respectively. In the MCMC system, 49% of the identified problems were major or catastrophic. In the ISSS system, 54% of the identified problems were of major and catastrophic types.

The HE method was employed in this study to determine the usability problems with the two systems pertaining to COVID-19 patient data recording. A study comparing heuristic and user testing evaluation methods concluded that more problems could be identified with the HE method. Moreover, the heuristic method could identify problems more quickly, and therefore it was more efficient and effective than the user testing method (17).

Nearly half of the issues found in the MCMC system were of major and catastrophic types. The assessment of the ISSS system also showed that over half of its usability issues were of the major, catastrophic variety. Three factors are taken into consideration when determining the severity of a problem, including its frequency, impact, and persistence. Solving major problems is somewhat important, and solving catastrophic problems is also highly necessary and has an extremely high priority. The designers of these two systems (MCMC and ISSS) should note that they are used nationally and have many users in hospitals throughout Iran. The existence of these problems can interfere with the correct and accurate registration of information.

With nine problems, the principles of “Consistency and standards” and “Flexibility and efficiency of use” had the highest number of problems found in the ISSS system. The “Consistency and standards” principle was linked to 19.04% of the problems found in the MCMC system as well. This study’s results are consistent with those of studies of Sadeqi Jabali et al and Nabovati et al (18,19). The two studies evaluated “Admission and Medical Record Information Systems” and “Laboratory and Radiology Information Systems”. In the study of Atashi et al, the highest number of problems was related to this principle, and out of 99 unique problems identified, 25% were related to this principle (20). These studies demonstrated that information system designers have not paid enough attention to this principle in user interface design. Therefore, it is recommended to notice user interface design standards when designing information systems.

With 23 problems, the “Help and documentation” principle had the most problems in the MCMC system. The system did not provide any online help to users, and they might perform a function incorrectly or stop performing a function. In the system evaluated by Nabovati et al, this principle was wholly ignored and led to users’ problems performing tasks (19). In another study, problems concerning the “Help and documentation” principle were rated as catastrophic (21). The existence of the before-mentioned problems in the user interface of various information systems, especially those whose users are not very familiar with such systems, can lead to their confusion and, as a result, lead to their dissatisfaction.

The highest average severity of violations was related to the ISSS system and the “Visibility of system status” principle with 3.6 and was graded as a catastrophic problem. In the study of Farzandipour et al, usability problems associated with the principle of “Visibility of system status” were identified as the most severe types (22). To solve these problems, information systems must be developed to inform the user about what is happening through appropriate feedback and at the right time.

This study identified usability problems related to the COVID-19 data registry. These results can be utilized by the designers and custodians of this system, the Ministry of Health, to enhance user interfaces and increase users’ satisfaction.


Strengths and Limitations

This study had some strengths and limitations. The Nielsen questionnaire has some benefits. We can mention several principles that can be used to assess many aspects of a health information system. Compared to other unstructured data collection techniques such as interview and observation, a structured questionnaire, including the Nielsen questionnaire, can facilitate the assessing process, and evaluators can identify more violations during evaluations of information systems. This study was limited by the fact that access to the national system required cooperation with the Ministry of Health, which established it.


Conclusion

The findings of the evaluation of MCMC and ISSS systems revealed that nearly half of the identified issues belonged to the category of major and catastrophic problems. These usability problems can significantly impact the acceptance and continued use of these systems by end-users. Many identified problems can be solved easily. Considering that these two systems are used nationally, it is essential to pay attention to solving the problems identified by these systems’ designers and custodians. On the other hand, evaluating the systems’ user interface in the initial stage and before widespread use is necessary.


Authors’ Contribution

Conceptualization: Soheila Saeedi, Sorayya Rezayi.

Data curation: Soheila Saeedi, Sorayya Rezayi, Taleb Khodaveisi, Shahrzad Amirazodi.

Formal analysis: Sorayya Rezayi.

Funding acquisition: Taleb Khodaveisi.

Investigation: Soheila Saeedi, Sorayya Rezayi, Taleb Khodaveisi, Shahrzad Amirazodi.

Methodology: Sorayya Rezayi, Taleb Khodaveisi.

Project administration: Soheila Saeedi, Sorayya Rezayi.

Supervision: Soheila Saeedi, Sorayya Rezayi.

Writing–original draft: Soheila Saeedi, Sorayya Rezayi, Taleb Khodaveisi, Shahrzad Amirazodi.

Writing–review & editing: Soheila Saeedi, Sorayya Rezayi, Taleb Khodaveisi, Shahrzad Amirazodi.


Competing Interests

None.


Consent for the Publication

Not Applicable.


Ethical Approval

The methodology for this study was approved by the Ethics Committee of Hamadan University of Medical Sciences (Ethics approval number: IR.UMSHA.REC.1402.536).


Funding

In this paper, we received a grant from Hamadan University of Medical Sciences.


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