Volume 23, Issue 2 (6-2020)                   jha 2020, 23(2): 11-27 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sadoughi F, Mohammadpour S, Ayani S, Arshi S. Development of a conceptual model for asthma management system in primary care. jha 2020; 23 (2) :11-27
URL: http://jha.iums.ac.ir/article-1-3242-en.html
1- Professor, School of health management and information sciences, Iran univiersity of medical sciences, Tehran, Iran.
2- M.Sc.Student, School of Health management & information science, Iran university of medical science, Tehran, Iran. , samanmohammadpour90@gmail.com
3- Manager of Rayvaran e-Health Research and Development Center, Smart Hospital Specialized Research and Telemedicine Center, Tehran, Iran.
4- Associate Professor, School of Medicine, Iran university of medical science, Tehran, Iran.
Abstract:   (2604 Views)

Introduction: Asthma is uncontrolled in more than half of asthma patients due to inadequate and incorrect management. The main reasons for inadequate management are non-adherence, inadequate knowledge of a general practitioner about patient's clinical condition, and not following asthma management guidelines The purpose of this study was to develop a conceptual model for the asthma management system in primary care
Methods: In this study, according to the guideline of the Global Initiative for Asthma, workflows for the management of asthma were extracted. Then, the conceptual model of the system was developed with unified modeling language and evaluated by an expert panel, including five asthma and allergy specialists, three informatics specialists and two health information management experts who were selected through non-probability sampling method. Data collection tools were the discussion framework with open-ended questions that reached a collective agreement after discussion on the conceptual model. The collective agreements were applied simultaneously to the diagrams of the conceptual model.
Results: The conceptual model was developed and evaluated in 10 diagrams, including business use-case, use-case, activities, sequences and class diagrams. The diagrams were reported after evaluation. The business use-case shows the main use-case, and the use-case diagrams show the more detailed use-case which is used for the system. The activity diagram shows how the patient was admitted, visited, and managed. The sequence diagram and the class diagram also present the order of asthma management operation, the objects required by the asthma management, and how they are related, respectively.
Conclusion: Given the validity of the conceptual model by asthma and allergy specialists together with informatics and health information management, it can be expected that the current conceptual model will significantly help to design and implement efficient systems that meet the needs of users.

Full-Text [PDF 1533 kb]   (1346 Downloads)    
Type of Study: Review | Subject: Health Information Management
Received: 2020/04/11 | Accepted: 2020/06/30 | Published: 2020/06/30

1. Nunes C, Pereira AM, Morais-Almeida M. Asthma costs and social impact. Asthma Res Pract. 2017;3(1):1. [DOI:10.1186/s40733-016-0029-3]
2. Ehteshami-Afshar S, FitzGerald JM, Doyle-Waters MM, Sadatsafavi M. The global economic burden of asthma and chronic obstructive pulmonary disease. Int J Tuberc Lung Dis. 2016 ;20(1):11-23. [DOI:10.5588/ijtld.15.0472]
3. Lundback B, Backman H, Lotvall J, Ronmark E. Is asthma prevalence still increasing?. Expert Rev Respir Med. 2016;10(1):39-51. [DOI:10.1586/17476348.2016.1114417]
4. Becker AB, Abrams EM. Asthma guidelines: The global initiative for asthma in relation to national guidelines. Curr Opin Allergy Clin Immunol. 2017;17(2):99-103. [DOI:10.1097/ACI.0000000000000346]
5. Global strategy for asthma management and prevention [Internet]. 2019 [Update 2019 July 1; cited 2020 July 5]; Available from: https://ginasthma.org/wp-content/uploads/2020/04/GINA-2020-full-report_-final-_wms.pdf
6. Ahmed S, Tamblyn R, Winslade N. Using decision support for population tracking of adherence to recommended asthma guidelines. BMJ Open. 2014;4(3):37-59. [DOI:10.1136/bmjopen-2013-003759]
7. Sheehan WJ, Phipatanakul W. Difficult to control asthma: Epidemiology and its link with environmental factors. Curr Opin Allergy Clin Immunol. 2015;15(5):397-407. [DOI:10.1097/ACI.0000000000000195]
8. Lindsay JT, Heaney LG. Nonadherence in difficult asthma-facts, myths, and a time to act. Patient Prefer Adherence. 2013;7(1):329-35. [DOI:10.2147/PPA.S38208]
9. Aftab RA, Khan AH, Sulaiman SA, Ali I. Physicians' adherence to Asthma guidelines: A prospective prescription review from tertiary care hospital, Malaysia. Open Med J. 2018;5(1):13-9. [DOI:10.2174/1874220301805010013]
10. FitzGerald JM, Tavakoli H, Lynd LD, Al Efraij K, Sadatsafavi M. The impact of inappropriate use of short acting beta agonists in asthma. Respir Med. 2017;131(1):135-40. [DOI:10.1016/j.rmed.2017.08.014]
11. Stanbrook MB, Kaplan A. The error of not measuring Asthma. Can Med Assoc; 2008;179(11):1099-100. [DOI:10.1503/cmaj.081665]
12. Himes BE, Weitzman ER. Innovations in health information technologies for chronic pulmonary diseases. Respir Res. 2016;17(1):1-7. [DOI:10.1186/s12931-016-0354-3]
13. Barr N, Vania D, Randall G, Mulvale G. Impact of information and communication technology on interprofessional collaboration for chronic disease management: A systematic review. J Health Serv Res Policy. 2017;22(4):250-7. [DOI:10.1177/1355819617714292]
14. Michaud TL, Zhou J, McCarthy MA, Siahpush M, Su D. Costs of home-based telemedicine programs: a systematic review. Int J Technol Assess Health Care. 2018;34(4):410-8. [DOI:10.1017/S0266462318000454]
15. Sahota N, Lloyd R, Ramakrishna A, Mackay JA, Prorok JC, Weise-Kelly L, et al. Computerized clinical decision support systems for acute care management: A decision-maker-researcher partnership systematic review of effects on process of care and patient outcomes. Implement Sci. 2011;6(1):691-715. [DOI:10.1186/1748-5908-6-91]
16. Wang VC, Reio Jr TG. Handbook of research on innovative techniques, trends, and analysis for optimized research methods. Pennsylvania:IGI Global; 2017. [DOI:10.4018/978-1-5225-5164-5]
17. Farsadhabibi H. Developing a logical model for an educational self-care system of patients with cirrhosis[Master thesis]. Tehran: Iran University of Medical Sciences;: 2018. [In persian]
18. Liyanage H, Luzi D, de Lusigan S, Pecoraro F, McNulty R, Tamburis O, et al. Accessible modelling of complexity in health and associated data flows:Asthma as an exemplar. J Innov Health Inform. 2016; 23(1):433-8. [DOI:10.14236/jhi.v23i1.863]
19. Gholamzadeh M, Abtahi H, Gharabaghi M, Taleb Z, Amini S. Improving gina adoption by designing a mobile based clinical decision support system. Eur Respir J. 2018;52(62):1-11 [DOI:10.1183/13993003.congress-2018.OA1683]
20. Safdari R, Torabi M, Shahmoradi L. Health information technology management. Tehran:Heydari:2017. [In Persian]
21. Sadoughi F, Sheikhtaheri A, Shahmoradi L, Meidani Z. Management information systems (concepts, structure, development and evaluation): Tehran:Heydari:2017. [In Persian]

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Health Administration

Designed & Developed by : Yektaweb