Identifying data elements and key features of a mobile-based self-care application for patients with COVID-19 in Iran

1. Danis, K, Epaulard, O, Bénet, T, et al. Cluster of coronavirus disease 2019 (COVID-19) in the French Alps, February 2020. Clin Infect Dis 2020; 71(15): 825–832.
Google Scholar | Crossref | Medline2. World Health Organization . Coronavirus disease 2019 (COVID-19): situation report, 82, 2020.
Google Scholar3. Baloch, S, Baloch, MA, Zheng, T, et al. The coronavirus disease 2019 (COVID-19) pandemic. Tohoku J Exp Med 2020; 250(4): 271–278.
Google Scholar | Crossref | Medline4. Sifuentes-Rodríguez, E, Palacios-Reyes, D. COVID-19: The outbreak caused by a new coronavirus. Bol Med Hosp Infant Mex 2020; 77(2): 47–53.
Google Scholar | Medline5. Leonardi, M, Horne, AW, Vincent, K, et al. Self-management strategies to consider to combat endometriosis symptoms during the COVID-19 pandemic. Hum Reprod Open 2020; 2020(2): hoaa028.
Google Scholar | Crossref | Medline6. Wang, D, Hu, B, Hu, C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020; 323(11): 1061–1069.
Google Scholar | Crossref | Medline7. Kim, HS, Lee, MS, Kim, H, et al. Self-care recommendations for patients with rheumatic diseases during the COVID-19 pandemic. Rheumatol Int 2020; 40(8): 1347–1349.
Google Scholar | Crossref | Medline8. Riegel, B, Jaarsma, T, Strömberg, A. A middle-range theory of self-care of chronic illness. ANS Adv Nurs Sci 2012; 35(3): 194–204.
Google Scholar | Crossref | Medline | ISI9. Riegel, B, Dickson, VV, Faulkner, KM. The situation-specific theory of heart failure self-care: revised and ipdated. J Cardiovasc Nurs 2016; 31(3): 226–235.
Google Scholar | Crossref | Medline | ISI10. Mehraeen, E, Hayati, B, Saeidi, S, et al. Self-care instructions for people not requiring hospitalization for coronavirus disease 2019 (COVID-19). Arch Clin Infect Dis 2020; 15(COVID-19): e102978.
Google Scholar | Crossref11. Taebi, M, Abedi, HA, Abbasszadeh, A, et al. Incentives for self-management after coronary artery bypass graft surgery. Iran J Nurs Midwifery Res 2014; 19(7 Suppl 1): S64–S70.
Google Scholar | Medline12. Martínez-Pérez, B, de la Torre-Díez, I, López-Coronado, M. Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis. J Med Internet Res 2013; 15(6): e120.
Google Scholar | Crossref | Medline | ISI13. Smith, AC, Thomas, E, Snoswell, CL, et al. Telehealth for global emergencies: implications for coronavirus disease 2019 (COVID-19). J Telemed Telecare 2020; 26(5): 309–313.
Google Scholar | SAGE Journals | ISI14. Drew, DA, Nguyen, LH, Steves, CJ, et al. Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science 2020; 368(6497): 1362–1367.
Google Scholar | Crossref | Medline15. Attipoe-Dorcoo, S, Delgado, R, Gupta, A, et al. Mobile health clinic model in the COVID-19 pandemic: lessons learned and opportunities for policy changes and innovation. Int J Equity Health 2020; 19(1): 73–75.
Google Scholar | Crossref | Medline16. Zamberg, I, Manzano, S, Posfay-Barbe, K, et al. A mobile health platform to disseminate validated institutional measurements during the COVID-19 outbreak: utilization-focused evaluation study. JMIR Public Health Surveill 2020; 6(2): e18668.
Google Scholar | Crossref | Medline17. Zhang, M, Smith, HE. Digital tools to ameliorate psychological symptoms associated with COVID-19: scoping review. J Med Internet Res 2020; 22(8): e19706.
Google Scholar | Crossref | Medline18. https://www.equator-network.org/reporting-guidelines/prisma/
Google Scholar19. Meinert, E, Milne-Ives, M, Surodina, S, et al. Agile requirements engineering and software planning for a digital health platform to engage the effects of isolation caused by social distancing: case study. JMIR Public Health Surveill 2020; 6(2): e19297.
Google Scholar | Crossref | Medline20. Liu, PL . COVID-19 Information Seeking on Digital Media and Preventive Behaviors: The Mediation Role of Worry. CyberpsycholBehav Soc Netw 2020; 23(10): 677–682.
Google Scholar | Crossref | Medline21. Ekong, I, Chukwu, E, Chukwu, M. COVID-19 mobile positioning data contact tracing and patient privacy regulations: exploratory search of global response strategies and the use of digital tools in Nigeria. JMIR Mhealth Uhealth 2020; 8(4): e19139.
Google Scholar | Crossref | Medline22. Gong, M, Liu, L, Sun, X, et al. Cloud-Based System for Effective Surveillance and Control of COVID-19: useful experiences from Hubei, China. J Med Internet Res 2020; 22(4): e18948.
Google Scholar | Crossref23. Islam, MN, Islam, I, Munim, KM, et al. A review on the mobile applications developed for COVID-19: an exploratory analysis. IEEE Access 2020; 8: 145601–145610.
Google Scholar | Crossref | Medline24. Thomas, Jd, Leiter, RE, Abrahm, JL, et al. Development of a palliative care toolkit for the COVID-19 pandemic. J Pain Symptom Manage 2020.
Google Scholar25. Inkster, B, O'Brien, R, Selby, E, et al. Digital health management during and beyond the COVID-19 pandemic: opportunities, barriers, and recommendations. JMIR Ment Health 2020; 7(7): e19246.
Google Scholar | Crossref | Medline26. Yamamoto, K, Takahashi, T, Urasaki, M, et al. Health observation app for COVID-19 symptom tracking integrated with personal health records: proof of concept and practical use study. JMIR Mhealth Uhealth 2020; 8(7): e19902.
Google Scholar | Crossref | Medline27. Huang, S, Xiao, Y, Yan, L, et al. Implications for online management: two cases with COVID-19. Telemed J E Health 2020; 26(4): 487–494.
Google Scholar | Crossref | Medline28. Cattuto, C, Spina, A. The institutionalisation of digital public health: lessons learned from the COVID-19 app. Eur J. Risk Regul 2020; 11(2): 228–235.
Google Scholar | Crossref29. Singh, RP, Javaid, M, Haleem, A, et al. Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes Metab Syndr 2020; 14(4): 521–524.
Google Scholar | Crossref | Medline30. Yamamoto, K, Takahashi, T, Urasaki, M, et al. Health observation app for COVID-19 symptom tracking integrated with personal health records: proof of concept and practical use study. JMIR Mhealth Uhealth 2020; 8(7): e19902.
Google Scholar | Crossref | Medline31. Collado-Borrell, R, Escudero-Vilaplana, V, Villanueva-Bueno, C, et al. Features and functionalities of smartphone apps related to COVID-19: systematic search in app stores and content analysis. J Med Internet Res 2020; 22(8): e20334.
Google Scholar | Crossref | Medline32. Mukona, DM, Zvinavashe, M. Self-management of diabetes mellitus during the Covid-19 pandemic: recommendations for a resource limited settin. Diabetes Metab Syndr 2020; 14(6): 1575–1578.g
Google Scholar | Crossref | Medline33. Wirth, FN, Johns, M, Meurers, T, et al. Citizen-centered mobile health apps collecting individual-level spatial data for infectious disease management: scoping review. JMIR Mhealth Uhealth 2020; 8(11): e22594.
Google Scholar | Crossref | Medline34. Timmers, T, Janssen, L, Stohr, J, et al. Using eHealth to support COVID-19 education, self-assessment, and symptom monitoring in the Netherlands: observational study. JMIR Mhealth Uhealth 2020; 8(6): e19822.
Google Scholar | Crossref | Medline35. Lai, L, Sato, R, He, S, et al. Usage patterns of a web-based palliative care content platform (PalliCOVID) during the COVID-19 pandemic. J Pain Symptom Manage 2020; 60(4): e20–e7.
Google Scholar | Crossref | Medline36. Alwashmi, MF . The use of digital health in the detection and management of COVID-19. Int J Environ Res Public Health 2020; 17(8): 2906.
Google Scholar | Crossref37. Sarbadhikari, S, Sarbadhikari, SN. The global experience of digital health interventions in COVID-19 management. Indian J Public Health 2020; 64(6): S117.
Google Scholar | Crossref | Medline38. Haider, AS, Al-Salman, S. Dataset of Jordanian university students' psychological health impacted by using e-learning tools during COVID-19. Data Brief 2020; 32: 106104.
Google Scholar | Crossref | Medline39. Javaid, M, Haleem, A, Vaishya, R, et al. Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes Metab Syndr 2020; 14(4): 419–422.
Google Scholar | Crossref | Medline40. Yap, KY, Xie, Q. Personalizing symptom monitoring and contact tracing efforts through a COVID-19 web-app. Infect Dis Poverty 2020; 9(1): 93.
Google Scholar | Crossref | Medline41. Valdez, RS, Holden, RJ. Health care human factors/ergonomics fieldwork in home and community settings. Ergon Des 2016; 24(4): 4–9.
Google Scholar | SAGE Journals | ISI42. Beer, JM, McBride, SE, Mitzner, TL, et al. Understanding challenges in the front lines of home health care: a human-systems approach. Appl Ergon 2014; 45(6): 1687–1699.
Google Scholar | Crossref | Medline43. Niakan, S, Mehraeen, E, Noori, T, et al. Web and Mobile Based HIV Prevention and Intervention Programs Pros and Cons-A Review. Stud Health Technol Inform 2017; 236: 319–327.
Google Scholar | Medline44. Copeland, T . Self-managing HIV/AIDS: cultural competence and health among women in Nairobi, Kenya. Anthropol Med 2018; 25(2): 176–190.
Google Scholar | Crossref | Medline45. Mehraeen, E, Noori, T, Nazeri, Z, et al. Identifying features of a mobile-based application for self-care of people living with T2DM. Diabetes Res Clin Pract 2020; 171: 108544.
Google Scholar | Crossref | Medline46. Sharpe, JD, Zhou, Z, Escobar-Viera, CG, et al. Interest in using mobile technology to help self-manage alcohol use among persons living with the human immunodeficiency virus: A Florida Cohort cross-sectional study. Subst Abus 2018; 39(1): 77–82.
Google Scholar | Crossref | Medline47. Saeidnia, H., Mohammadzadeh, Z., Saeidnia, M., et al. Identifying requirements of a self-care system on smartphones for preventing coronavirus disease 2019 (COVID-19). Iran J Med Microbiol 2020; 14(3): 241–251.
Google Scholar | Crossref48. Farnoosh, G, Alishiri, G, Jalali Farahani, A, et al. Coronavirus disease (COVID-19): challenges and opportunities. Disaster Med. Public Health 2020: 1–3.
Google Scholar49. Yang, J, Zheng, Y, Gou, X, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis 2020; 94: 91–95.
Google Scholar | Crossref | Medline50. Lippi, G, Henry, BM. Chronic obstructive pulmonary disease is associated with severe coronavirus disease 2019 (COVID-19). Respir Med 2020; 167: 105941.
Google Scholar | Crossref | Medline51. Guan, WJ, Ni, ZY, Hu, Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382(18): 1708–1720.
Google Scholar | Crossref | Medline52. Goldstein, MR, Poland, GA, Graeber, CW. Are certain drugs associated with enhanced mortality in COVID-19? QJM: Int J Med 2020.
Google Scholar | Crossref53. Hoffmann, M, Kleine-Weber, H, Schroeder, S, et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell 2020; 181(2): 271–280.e8.

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