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BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 1/2023

Open Access 01-12-2023 | Research

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

Authors: Elahe Gozali, Reza Safdari, Bahlol Rahimi, Marjan Ghazisaeedi, Hamidreza Farrokh-Eslamlou, Malihe Sadeghi

Published in: BMC Medical Informatics and Decision Making | Issue 1/2023

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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.
Appendix
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Literature
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.CrossRefPubMed
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.CrossRefPubMed
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.CrossRef
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.CrossRef
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.CrossRefPubMedPubMedCentral
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.CrossRefPubMed
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.CrossRefPubMed
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.CrossRefPubMed
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.
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.CrossRefPubMed
21.
Williams RATJ, Qwarnstrom EE. Statistical techniques complement UML when developing domain models of complex dynamical biosystems. PLoS One. 2016;11(8).CrossRefPubMedPubMedCentral
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.CrossRefPubMed
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.
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.CrossRefPubMedPubMedCentral
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
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.CrossRef
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.CrossRefPubMed
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.CrossRefPubMedPubMedCentral
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.CrossRef
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.CrossRefPubMed
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.
Metadata
Title
Designing and evaluating the children’s developmental motor disorders system: an experience from a developing country
Authors
Elahe Gozali
Reza Safdari
Bahlol Rahimi
Marjan Ghazisaeedi
Hamidreza Farrokh-Eslamlou
Malihe Sadeghi
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2023
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-023-02223-2

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