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Designing and evaluating the children’s developmental motor disorders system: an experience from a developing country

Abstract

Background

Developmental disorders are a prevalent problem in the health sector of low- and middle-income countries (LMICs), and children in these countries are at greater risk. A registry system is helpful and vital to monitoring and managing this disease.

Objective

The present study aims to develop an electronic registry system for children's developmental motor disorders.

Methods

The study was conducted between 2019 and 2020 in three phases. First, the requirements of the system were identified. Second, UML diagrams were first drawn using Microsoft Visio software. Then, the system was designed using the ASP.NET framework in Visual Studio 2018, and the C# programming language was used in the NET 4.5 technology platform. In the third phase, system usability was evaluated from the users' viewpoint.

Results

The findings of this research included system requirements, a conceptual model, and a web-based system. The client and system server connection was established through the IP/TCP communication protocol in a university physical network. End users approved the system with an agreement rate of 87.14%.

Conclusion

The study's results can be used as a model for designing and developing systems related to children's developmental movement disorders in other countries. It is also suggested as a valuable platform for research and improving the management of this disease.

Peer Review reports

Introduction

Childhood is the base and foundation of learning and building a successful future, provided that the child's development is done correctly [1]. Neurodevelopmental disorders in children are characterized by early disabilities or defects in language, communication, cognitive, motor, and social skills [2]. Developmental disabilities occur when children do not show the significant developmental characteristics expected based on age in the mentioned areas [3, 4]. These disabilities and disorders affect several areas of life. It affects and leads to disruption in the functioning of daily life [2], such as self-care, academic activities, and motor activities [5], and lower academic performance results in less employment and reduced income-earning skills [6].

After infections and trauma, developmental disorders are the most common problems in pediatric medicine, and half of these disorders are not detected until school age and are not treated [7, 8]. This disorder is found in five to 10% of school-age children. It is one of the most common disorders in this age group [9]. Its prevalence in the pediatric population is estimated at between 5 and 15% globally [4]. According to an estimation in 2016, about 52.9 million children under five worldwide suffered a developmental disability [10]. In the United States, developmental delay is common in children under one year of age [11], and its rate has shown a significant increase in children aged 3 to 17 years between 2009 and 2017 so that a developmental disability was reported in one out of every six children [12]. Among children aged 0 to 6 years in Taiwan from 2000 to 2015, the rate increased from 2.0% to 5.7% [13], and in the Northeast, this rate was 11.36% [14]. It increased from 6.9% to 7.42% in Australia between 2009 and 2015 [15]. In low- and middle-income countries (LMICs), this rate is higher than in other parts of the world, and children in these countries are at greater risk [6], so 33% of these children have developmental disabilities, and 43% of them are deprived of their growth potential due to poverty, socio-demographic and environmental factors [16].

In the Middle East, the rate of developmental disabilities increased between 2010 and 2016 [10]. Its rate is generally 18 to 22% in Iran, a developing country in the Middle East region [17], and 13.98% in its various cities in the northwestern parts [6]. Diagnosing disorders under five is considered a golden opportunity, and regular monitoring of the children's condition is considered a key measure for diagnosis. Monitoring requires registering data related to children's development to control and follow up [18]. Registries provide an opportunity to address challenges in estimating the prevalence, including changing labeling practices and definitions. Updated estimates can also improve diagnosis and increase access to services in the prevalence of diagnosed developmental disabilities [12]. From another viewpoint, the large volume of medical data and their accumulation is a challenge requiring accurate data management and evaluation [19]. Registry systems are one of the important tools of data management and supplement cross-sectional studies that determine the difference in disease rates with longitudinal studies [20]. These systems use the methods of observational studies to collect similar clinical data to evaluate predictions and the results of measures in defined populations of a specific disease, a condition, or people who have been exposed to an event [21]. These systems have the potential to facilitate the management of patients and their ill conditions [19] and use their data to determine the incidence rate and the course of diseases [20]. They also provide primary information as a preliminary evaluation for policy-making purposes [21].

Since the data of children with developmental disorders are collected manually in most centers in Iran, and there are many challenges regarding the information of these patients and the management of this disease due to the lack of accurate and timely information at the macro level, it is necessary to use an electronic registry system to address this challenge. Hence, the present study aims to design and evaluate the national system of registering and monitoring children's developmental motor disorders based on the web in Iran.

Materials and methods

The present study was conducted as a project and in three phases. The first phase of this project and its results were published in the previous article [22]. An abstract of the first phase and other phases of the project is presented in the present study. The present study was a descriptive-developmental study conducted with an application from 2017 to 2019.

First phase: Development of system requirements

The rules and guidelines published by the Ministry of Health and Medical Education and Maternal and Newborn Health Centers were examined in this phase. Then, a database search was done using the relevant keywords between 2010 and 2019, and the extracted English articles were reviewed. The obtained information was used to develop the questionnaire and select the system requirements. This questionnaire included five sections with 140 questions based on a five-point Likert scale. The reliability of the questionnaire was calculated by Cronbach's alpha coefficient of 0.89. Ten experts in the fields ( two pediatric neurology, two obstetrics and gynecology, two maternal and child health, two health information management, and two medical informatics), approved the content validity of the questionnaire. Data were analyzed using SPSS-20 software (IBM Corporation, New York, USA). The previous study presents this project phase in detail [22].

Second phase: Designing and creating the system

In the second phase, using the results of the first phase of the study, as well as the presence of the researcher in the specialized clinic for child growth and development and observing the work process, as well as holding brainstorming sessions with the research team, the conceptual model of the system was drawn in the form of scenarios, applied diagrams, class, the sequence and activity using Microsoft Visio software and the research team finalized it. Then, the system was created according to the conceptual model and using the ASP.NET framework on the server. The system was designed in the Visual Studio-2018 software using C# programming language in the NET 4.5 technology platform for high-level programming and user interface, and SQL Server database, which is a relational database, was used to store data.

Third phase: System evaluation

In this phase, after implementing the system as a pilot, the system was evaluated in two steps. The researcher evaluated the accuracy of the system's performance in the first step. In this step, 20 medical records of children with developmental motor disorders were randomly selected, and their information was entered into the system. In the second step, the system's usability was evaluated from the end user's viewpoint. In this step, the statistical population of the study consisted of experts and specialists in health information management and medical informatics working in the paramedical faculty of Urmia University of Medical Sciences (5 people) and specialists in children's developmental motor disorders at Urmia University of Medical Sciences in 2019 (9 people) who had evaluation experience in the field of health information systems. A questionnaire was used to evaluate the system (Supplementary file). This questionnaire was developed based on a combination of well-known software quality evaluation models, including the McCall [23], Boehm [24], and Clements Kazman models [25]. The Ministry of Health, Treatment, and Medical Education approved the validity and reliability of this questionnaire. This questionnaire included six sections and 39 questions in the two-option form (yes or no). The first section of the questions related to the data content of the electronic system of registering and monitoring children's developmental motor disorders (including 8 questions). The second section was related to questions about the physical design of the system (including 9 questions), the third section was related to questions about the technical characteristics of the electronic system of registering and monitoring children developmental motor disorders (including 7 questions), the fourth section was related to questions about the system flexibility (including 5 questions), the fifth section was related to questions about the system participation (including 5 questions), and the sixth section was related to questions about the system user support (including 5 questions). The research subjects were requested to use the system for at least two weeks and then complete the system usability questionnaire. The answers were analyzed descriptively (calculation of frequency and percentage). After collecting the data, they were entered into SPSS-22 software and analyzed using statistical methods (frequency and percentage).

Results

According to the results, the requirements of the children's DMD registry system were identified in three areas, including demographic data elements (24 data elements), clinical data elements (87 data elements), and technical requirements (28 capabilities). Its results have been presented in the previous article [22]. Unified modeling language diagrams were used to model the system of registering and monitoring children's developmental motor disorders.

Using Microsoft Visio-2016 Software, scenario tables, application diagrams, sequence, activity and system class were developed. For example, the form creation class diagram (Fig. 1) and the system user identification class diagram (Fig. 2) have been presented.

Fig. 1
figure 1

class diagram of Forms creation

Fig. 2
figure 2

Class diagram of System user identification

The system of registering and monitoring children's developmental motor disorders is connected with three actors, the user who registers information, the system administrator, and the system supervisor, and provides them with facilities according to the defined roles and access levels. The diagrams used by the three actors are shown in Figs. 3, 4 and 5.

Fig. 3
figure 3

User diagram of the system registrar

Fig. 4
figure 4

User diagram of the system admin

Fig. 5
figure 5

User diagram of the system supervisor

The clients and the system server are connected through a university physical network's IP/TCP communication protocol. The registering and monitoring system of children's developmental motor disorders is web-based, so the ASP.NET framework was used on the server. This system was designed in Visual Studio-2018 software, and C# programming language was used in the NET 4.5 technology platform for high-level programming. SQL Server database was used to store data. Since this system is web-based and does not require software installation, users can access the system through all browsers after specifying the username and confirming access.

The electronic system of registering and monitoring children's developmental motor disorders has three actors: Admin, Registrar, and Supervisor. Admin administrates the system. Admin checks and approves the requests to use the system and defines users' right of access to different parts of the system based on role. A registrar is a regular user who enters information related to forms. A supervisor is a user who controls and approves the information registered by the registrar. An example of the user login page for the registrar is shown in Fig. 6. As mentioned, three actors are defined for the system, and each of them has its user environment. For example, Fig. 7 shows an example of the system admin work environment related to the registry center management section. In this section, the admin defines the centers with permission to register information for the system and gives access to their users (Fig. 8). Registrators use the system to register patient and mother information in various forms. They can also receive important reminders to adhere to the treatment. An example of registrator information registry forms is shown in Fig. 9. As mentioned, the supervisor also has its own unique user interface and access level. For example, after entering the user environment, he can search and control the registered records (Fig. 10).

Fig. 6
figure 6

Login page to the system registrar

Fig. 7
figure 7

Management of registration centers in the system administrator environment

Fig. 8
figure 8

User management in the system administrator environment

Fig. 9
figure 9

A filled form by registrars

Fig. 10
figure 10

User environment of Supervisor

After designing the system, it was implemented as a pilot in the specialized clinic for children's growth and development. The study's statistical population in the evaluation phase was 14, and the response rate was 100%. The frequency of the evaluation results is presented in Tables 1, 2, 3, 4, 5 and 6. The mean results of data content evaluation, physical system design, flexibility, technical characteristics, system participation, and user support were obtained at 88.35%, 84.87%, 89.96%, 89.7%, 85.68%, and 84.3%, respectively.

Table 1 The results of evaluating the data content of the system
Table 2 The results of evaluating the physical design of the system
Table 3 System flexibility evaluation results
Table 4 Evaluation results of technical features of the system
Table 5 The results of the evaluation of system participation
Table 6 Evaluation results of system user support feature

The general results of the evaluation of the electronic system of registering and monitoring children's developmental motor disorders, both in terms of the adequacy and appropriateness of the information content and in terms of the software quality, showed that the current system had been approved by its users with an agreement rate of 87.14% and it could create an acceptable level of satisfaction in this stage of the work.

Discussion

Collecting real-life data of patients is a critical step in patient management and clinical science. In the past, patients' information was registered manually. The number of qualitative registries is increasing with the implementation of electronic patient registry systems that allow for easier and faster data registration. Well-designed registry systems are a good way to collect and analyze disease data in a real environment and have added value in randomized controlled studies [26]. They can also represent clinical practice, disease outcomes, safety, and effectiveness [27]. The first step in designing a registry system is to determine the requirements. As mentioned, the results of this step of the present study have been published in the previous article [22].

After determining the requirements for designing a system, conceptual modeling is done. Conceptual modeling is used to identify, analyze, describe, and graphically display the concepts and limitations of a field [28]. Since analyzing healthcare systems is complex and challenging, UML is used to analyze healthcare systems [29]. Unified modeling language specifies, visualizes, constructs, and documents software systems and facilitates communication between project members. The unified modeling language is more than a few graphical symbols; manufacturers can create models that other manufacturers can understand with the help of it [28].

Naemi et al. used UML diagrams before creating the Web-Based Dental Implant Registry (DIR) system to consider the appropriate system according to the teeth' anatomy to meet dentists' needs [30]. In the present study, scenarios, tables, and diagrams of the unified modeling language were used to define the structure, behavior, and interaction of users with the system to create suitable conditions for modeling the information flow and facilitating the correct creation of the system. This approach is a suitable tool for modeling healthcare information processes and the future development of systems. It creates a common language among the analysts, developers, and users of systems. Thus, the needs and demands of the users, as well as the requirements of the system, should be clearly displayed in the design of health information systems using the capabilities of the unified modeling language diagrams so that the system developers can identify their user needs and requirements to design and implement information systems.

After conceptual modeling, the output of the next step was a web-based system that registers the information of children with developmental motor disorders to manage the condition of these patients effectively. Web-based systems are more popular to their user-friendly design and access without time and place restrictions. These systems increase the accuracy and speed of data registration and reduce possible errors. Moreover, their use facilitates updating information, creating complex reports, and sharing information [31, 32]. Studies in different countries suggest that most of these systems are web-based. For example, in a study entitled "Development of the cerebral palsy follow-up registry system," Almasri et al. [33] in Jordan designed a web-based registry system intending to register the follow-up of children with cerebral palsy.

This system provides demographic information about the child and parents and distributes the participants based on topography. In other clinical areas, web-based registry systems have been designed. For example, the Web-Based Dental Implant Registry (DIR) system was developed in Naemi et al.'s study [30].

In the present study, all demographic data elements and clinical-prenatal data related to mother and child are collected [22]. In addition to registering the information of children with cerebral palsy, this study has the potential of registering the information of children suffering from all developmental motor disorders. After creating the system of registering and monitoring children's developmental motor disorders, this system was evaluated in two steps. In the first step, the accuracy and correctness of the system performance was evaluated by the researcher, and the system faults and errors were fixed and the system correctness was confirmed. In the next step, the system was assessed from the end users' viewpoint. By evaluating health information systems, it is possible to ensure that inappropriate results are corrected. There are various methods for assessing information systems [34]. Evaluation from the usability viewpoint is one of these methods in which the system helps users perform their tasks to do their work quickly and with minimum effort [35]. Usability is directly related to errors, productivity, and user's satisfaction [36], so low system usability reduces information usage by users [35].

In information systems, many errors are related to usability problems; for example, incorrect and ambiguous messages, unfamiliar and complex language, and feedback lacking important information reduce efficiency and confuse users. Usability problems of health information systems can affect the quality of users' interaction with the system and, thus, the care outcome. The evaluation of the usability of the information system will be effective in identifying and solving these problems [37]. The present study evaluated the system by focusing on usability and user satisfaction. It obtained an acceptable score in all areas, including information content, physical design, flexibility, technical capabilities, participation, and the level of user support. The general results of the system evaluation in terms of the adequacy and appropriateness of the information content and also in terms of software quality show that the system is approved by its users with an agreement rate of 87.14% and could create an acceptable level of satisfaction in this stage of the work.

Sadeqi Jabali et al. evaluated the medical records and admission information system using the usability evaluation method to identify system problems. In this study, 62 unique usability problems were identified. The highest number of problems was related to the two principles of "compliance with uniformity and standards" and "diagnosis instead of reminding," and the highest mean severity of problems was related to the two principles of "clarity of system status" and "aesthetic aspects and convenient design" and the lowest mean severity of problems was the principle of " error prevention" [38]. In the study by Naemi et al., the dental registry system was evaluated in terms of usability. In the mentioned study, the largest number of problems was related to system clarity and adaptability principles between the system and the real world [30]. The concept of usability in health is more crucial than in other areas because it deals with the quality of care, patient safety, and human and social issues. Thud, it is recommended to evaluate its user interfaces in the following stages, such as the development and implementation stages of the system. These continuous evaluations significantly reduce system usability problems and costs, improving user interaction and care outcomes.

Conclusion

The output of the present study was an electronic system of registering and monitoring children's developmental motor disorders. It was an attempt to combine the results of the review of relevant documents and articles in other countries with the suggestions and opinions of experts and present an acceptable product based on the available facilities in the country. By providing the necessary conditions for the ease of access of service providers to the data of patients with motor disorders to identify affected patients and groups at risk, this study's results can be valuable and effective in treatment, reducing consequences, economic costs, optimal allocation of resources and in planning and the decisions of the country's policymakers. It also has many benefits, including registering and monitoring to improve the efficiency of disease surveillance for use in health planning, management, and evaluation of control strategies for taking effective and timely measures. Also, implementing such a system can be valuable for all kinds of studies and a helpful tool for research.

Due to a lack of information integrity, inconsistency, and lack of communication between the relevant organizations in charge of providing services in Iran, such children and their mothers' information is not manually registered completely and timely. Although the creation of this system solves the problems to some extent, it requires the participation of all healthcare providers, including specialists, physicians, and other health service providers. Also, there is no registering and monitoring system for children's developmental motor disorders in Iran, and all the systems created in the form of different diseases operate individually. Hence, creating and applying a national children's developmental motor disorder registry system is a wise investment to improve the understanding of these diseases, provide better services, and facilitate related research. Also, if registry systems are properly created and integrated with other care systems such as electronic health records, it will have many advantages such as better management of resources, improvement of care coordination, effective management of diseases, national and international access to clinical data, reduction of medical errors, prevention of delay in treatment of patients, reduction of operating costs and increase of patients' participation in the treatment.

The results of the present study can be used as a road map for implementing the national system of developmental movement disorders of children in the country. In the future, this system can be connected with other related information systems to create a comprehensive database and facilitate information sharing of children with developmental movement disorders. It is also possible to plan in the future to create self-care applications based on mobile phones for patients with developmental movement disorders children that are also connected with this system.

One of the limitations of this research was access to the full text of some relevant articles, which was tried to be solved by emailing the authors. Also, the number of available specialists who worked in the clinic to evaluate the system was low, which was tried to be compensated by diversity in expertise from other cities.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Britto PR, Lye SJ, Proulx K, Yousafzai AK, Matthews SG, Vaivada T, et al. Nurturing care: promoting early childhood development. Lancet. 2017;389(10064):91–102.

    Article  PubMed  Google Scholar 

  2. Baten E, Vlaeminck F, Mués M, Valcke M, Desoete A, Warreyn P. The impact of school strategies and the home environment on home learning experiences during the COVID-19 pandemic in children with and without developmental disorders. J Autism Dev Disord. 2023;53(4):1642–72.

  3. Shaahmadi F, Khushemehri G, Arefi Z, Karimyan A, Heidari F. Developmental delay and its effective factors in children aged 4 to 12 months. Int J Pediatrics. 2015;3(1.1):396–402.

  4. Demirci A, Kartal M. The prevalence of developmental delay among children aged 3–60 months in Izmir, Turkey. Child Care Health Dev. 2016;42(2):213–9.

  5. Camden C, Foley V, Anaby D, Shikako-Thomas K, Gauthier-Boudreault C, Berbari J, et al. Using an evidence-based online module to improve parents’ ability to support their child with Developmental Coordination Disorder. Disabil Health J. 2016;9(3):406–15.

    Article  PubMed  Google Scholar 

  6. Hosseinpour M, Esmaeilpour Aghdam M, Maleki F. The prevalence and socioeconomic determinants of undetected developmental delay in preschool-aged children in the northwest of Iran: a population-based study. Early Child Dev Care. 2021;191(10):1624–35.

    Article  Google Scholar 

  7. Torabi F, Akbari SAA, Amiri S, Soleimani F, Majd HA. Correlation between high-risk pregnancy and developmental delay in children aged 4–60 months. Libyan J Med. 2012;7(1):18811.

  8. Behrman R KR, Jenson HB. Nelson Textbook of Pediatrics. 17th edition ed. Philadelphia: Saunders Co; 2004.

  9. Jane JY, Burnett AF, Sit CH. Motor skill interventions in children with developmental coordination disorder: a systematic review and meta-analysis. Arch Phys Med Rehabil. 2018;99(10):2076–99.

  10. Olusanya BO, Davis AC, Wertlieb D, Boo N-Y, Nair M, Halpern R, et al. Developmental disabilities among children younger than 5 years in 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Glob Health. 2018;6(10):e1100–21.

    Article  Google Scholar 

  11. Lindley LC, Svynarenko R, Beebe LH. Mental health and developmental disabilities in US children admitted in hospice care. Int J Palliat Nurs. 2021;27(3):124–30.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Zablotsky B, Black LI, Maenner MJ, Schieve LA, Danielson ML, Bitsko RH, et al. Prevalence and trends of developmental disabilities among children in the United States: 2009–2017. Pediatrics. 2019;144(4).

  13. Ho LP, Lee YC. Prevalence of developmental delay among children: A national study based on administrative database of the single-payer National Health Insurance System in Taiwan. Child Care Health Dev. 2022;48(2):324–35.

    Article  PubMed  Google Scholar 

  14. Chen H-J, Ko MH-J, Li S-T, Chiu N-C, Hung K-L. Prevalence of preschool children developmental disabilities in northeastern Taiwan-Screening with Taipei City Developmental Screening Checklist for Preschoolers, 2nd Version. J Formosan Med Assoc. 2020;119(7):1174–9.

  15. Arabiat DH, Whitehead L, Al JM. The 12-year prevalence and trends of childhood disabilities in Australia: findings from the survey of disability, aging and carers. Child Care Health Dev. 2018;44(5):697–703.

    Article  PubMed  Google Scholar 

  16. Black MM, Walker SP, Fernald LC, Andersen CT, DiGirolamo AM, Lu C, et al. Early childhood development coming of age: science through the life course. Lancet. 2017;389(10064):77–90.

    Article  PubMed  Google Scholar 

  17. Akbari SAA, Montazeri S, Torabi F, Amiri S, Soleimani F, Majd HA. Correlation between anthropometric indices at birth and developmental delay in children aged 4–60 months in Isfahan. Iran Int J Gen Med. 2012;5:683.

    Google Scholar 

  18. Autism, Investigators DDMNSYP. Prevalence of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2010. MMWReport Surveill Summ. 2014;63(2):1–21.

  19. BÖRCEK A, Bulduk E, Civi S, Emmez H, Kaymaz A. Spine tango in Turkish: development of a local registry system. Turkish Neurosurg. 2017;27(2).

  20. Turin TC, Kita Y, Rumana N, Sugihara H, Morita Y, Tomioka N, et al. Registration and surveillance of acute myocardial infarction in Japan: monitoring an entire community by the Takashima AMI registry system and design. Circ J. 2007;71(10):1617–21.

    Article  PubMed  Google Scholar 

  21. Williams RATJ, Qwarnstrom EE. Statistical techniques complement UML when developing domain models of complex dynamical biosystems. PLoS One. 2016;11(8).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Gozali E, Safdari R, Ghazisaeedi M, Rahimi B, Eslamlou HF, Mehraeen E. Identification and validation of requirements for a registry system of children’s developmental motor disorders in Iran. Methods Inf Med. 2019;58(04/05):124–30.

    Article  PubMed  Google Scholar 

  23. McCall JA, Richards PK, Walters GF. Factors in Software Quality. US Rome Air Development Center Reports. 1977.

  24. Boehm BW, Brown JR, Kaspar JR, Lipow ML, MacCleod G. Characteristics of Software Quality. New York: American Elsevier; 1978.

    Google Scholar 

  25. Clements P, Kazman R, Klein M. Evaluating software architectures: Tsinghua University Press Beijing. China: Addison Wesley Professional publisher; 2003.

  26. Akand M, Muilwijk T, Cornelissen J, Van Bruwaene S, Vander Eeckt K, Baekelandt F, et al. Development of a prospective data registry system for non-muscle-invasive bladder cancer patients incorporated in the electronic patient file system. Front Oncol. 2019;9:1402.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Weng C, Bigger JT, Busacca L, Wilcox A, Getaneh A. Comparing the effectiveness of a clinical registry and a clinical data warehouse for supporting clinical trial recruitment: a case study. InAMIA Annual Symposium Proceedings. Am Med Inform Assoc. 2010;2010:867. 

  28. Shiki N, Ohno Y, Fujii A, Murata T, Matsumura Y. Unified Modeling Language (UML) for hospital-based cancer registration processes. Asian Pac J Cancer Prev. 2008;9(4):789–96.

    PubMed  Google Scholar 

  29. Vasilakis C, Lecznarowicz D, Lee C. Developing model requirements for patient flow simulation studies using the Unified Modelling Language (UML). Journal of Simulation. 2009;3(3):141–9.

    Article  Google Scholar 

  30. Naemi R, Jangi M, Barikani HR, Shahmoradi L. Design and evaluation of web-based Dental Implant Registry (DIR) for better clinical outcomes. Int J Biomater. 2022;2022.

  31. Tohira H, Jacobs I, Mountain D, Gibson N, Yeo A. International comparison of regional trauma registries. Injury. 2012;43(11):1924–30.

    Article  PubMed  Google Scholar 

  32. Krysinska K, Sachdev PS, Breitner J, Kivipelto M, Kukull W, Brodaty H. Dementia registries around the globe and their applications: A systematic review. Alzheimers Dement. 2017;13(9):1031–47.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Almasri N, Saleh M, Abu‐Dahab S, Malkawi S, Nordmark E. Development of a cerebral palsy follow‐up registry in Jordan (CPUP‐Jordan). Child Care Health Dev. 2018;44(1):131–9.

  34. Agharezaei Z, Khajouei R, Ahmadian L, Agharezaei L. Usability evaluation of a laboratory information system. Director General. 2013;10(2):1–12.

  35. Jeddi FR, Nabovati E, Bigham R, Khajouei R. Usability evaluation of a comprehensive national health information system: relationship of quality components to users’ characteristics. Int J Med Informatics. 2020;133: 104026.

    Article  Google Scholar 

  36. Ahmadian L, Salehi F, Abedinzadeh A, Khatibi F. Usability evaluation of a Radiology Information System. J Health Admin (JHA). 2017;20(69).

  37. Crighton G, Wood E, Scarborough R, Ho PJ, Bowden D. Haemoglobin disorders in Australia: where are we now and where will we be in the future? Intern Med J. 2016;46(7):770–9.

    Article  CAS  PubMed  Google Scholar 

  38. Sadeqi Jabali M, Nabovati E, Farzandipour M, Farrahi SR, Abbasi R. Evaluation of the usability of admission and medical record information system: A heuristic evaluation. J Health Biomed Inform. 2019;6(2):80–9.

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Acknowledgements

We thank the Tehran University of Medical Sciences and all study participants.

Funding

There were no funding sources for this study.

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Authors and Affiliations

Authors

Contributions

Conceptualization, E.G. and R.S.; Methodology, E.G. and M.Gh.; Validation, B.R.; Formal analysis, H.FE.; Investigation, M.Gh.; Data curation, E.G. and M.S.; Writing—original draft, M.S.; Supervision, R.S.; All authors have read and agreed to the published version of the manuscript.

Corresponding authors

Correspondence to Reza Safdari or Malihe Sadeghi.

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Ethical approval for the study was obtained from the Ethical Committee of Tehran University of Medical Sciences. All methods were carried out in accordance with relevant guidelines and regulations. Informed consent was obtained from all participants.

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Gozali, E., Safdari, R., Rahimi, B. et al. Designing and evaluating the children’s developmental motor disorders system: an experience from a developing country. BMC Med Inform Decis Mak 23, 123 (2023). https://doi.org/10.1186/s12911-023-02223-2

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