Document Type : Technical Note


1 PhD Candidate, Student Research Committee, Kerman University of Medical Sciences, Kerman, Iran

2 MD, PhD, Medical Informatics Research Centre, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

3 MSc student, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran

4 PhD, Department of Health Information Management, Kerman University of Medical Sciences, Kerman, Iran



Preeclampsia is one of the most common complications of pregnancy that is very difficult to control and manage during the outbreak of COVID-19. One way to control and manage this disease is to use self-care applications. Therefore, the aim of this study was to design and develop a mobile-based application to facilitate self-care for women, who suffer from pregnancy poisoning in the COVID-19 pandemic. This study was conducted in two stages: In the first stage, according to the opinion of 20 obstetricians and pregnant women, a needs assessment was performed. In the second stage, based on the identified needs, the application prototype was designed and then evaluated. For evaluation, 20 pregnant women were asked to use the application for 10 days. QUIS questionnaire version 5.5 was used for evaluation. Descriptive statistics and mann-whitney test in SPSS software version 23 were used for data analysis. Out of the 66 information needs that were identified via the questionnaire, 58 were considered in designing the application. Features of the designed application were placed in 5 categories: User’s profile, lifestyle, disease prevention and control, application capabilities and user’s satisfaction. The capabilities of the application consist of introducing specialized COVID-19 medical centers, search for the location of medical centers and doctors’ offices, drug management, drug allergies, self-assessment, stress reduction and control, nutrition and diet management, sleep management, doctor’s appointment reminders, communication with other patients and physicians, application settings. Pregnant women rated the usability of the application at a good level. The designed application can reduce the anxiety and stress due to preeclampsia feel and also improve their knowledge as well as attitude towards the COVID-19 pandemic and preeclampsia.


  1. Rana S, Lemoine E, Granger JP, et al. Preeclampsia: Pathophysiology, Challenges, and Perspectives. Circ Res. 2019;124(7):1094-112. doi: 10.1161/CIRCRESAHA.118.313276. PubMed PMID: 30920918.
  2. Bokslag A, Van Weissenbruch M, Mol BW, et al. Preeclampsia; short and long-term consequences for mother and neonate. Early Hum Dev. 2016;102:47-50. doi: 10.1016/j.earlhumdev.2016.09.007. PubMed PMID: 27659865.
  3. Azarkish F, Sheikhi F, Mirkazehi Z, et al. Preeclampsia and the crucial postpartum period for Covid-19 infected mothers: A case report. Pregnancy Hypertens. 2021;23:136-9. doi: 10.1016/j.preghy.2020.10.012. PubMed PMID: 33388729. PubMed PMCID: PMC7604163.
  4. 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. doi: 10.5812/archcid.102978.
  5. McIntyre P, et al. Pregnant adolescents: delivering on global promises of hope. World Health Organization; 2006. p. 2-28.
  6. Waris Nawaz M, Imtiaz S, Kausar E. Self-care of Frontline Health Care Workers: During COVID-19 Pandemic. Psychiatr Danub. 2020;32(3-4):557-62. doi: 10.24869/psyd.2020.557. PubMed PMID: 33370766.
  7. Riegel B, Jaarsma T, Lee CS, et al. Integrating Symptoms In to the Middle-Range Theory of Self-Care of Chronic Illness. ANS Adv Nurs Sci. 2019;42(3):206-15. doi: 10.1097/ANS.0000000000000237. PubMed PMID: 30475237. PubMed PMCID: PMCID: PMC6686959.
  8. Chan KL, Chen M. Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis. JMIR Mhealth Uhealth. 2019;7(1):e11836. doi: 10.2196/11836. PubMed PMID: 30698533. PubMed PMCID: PMC6372934.
  9. Lee Y, Moon M. Utilization and Content Evaluation of Mobile Applications for Pregnancy, Birth, and Child Care. Healthc Inform Res. 2016;22(2):73-80. doi: 10.4258/hir.2016.22.2.73. PubMed PMID: 27200216. PubMed PMCID: PMC4871848.
  10. Turner-McGrievy GM, Beets MW, Moore JB, et al. Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program. J Am Med Inform Assoc. 2013;20(3):513-8. doi: 10.1136/amiajnl-2012-001510. PubMed PMID: 23429637. PubMed PMCID: PMC3628067.
  11. Moradi F, Ghadiri-Anari A, Enjezab B. COVID-19 and self-care strategies for women with gestational diabetes mellitus. Diabetes Metab Syndr. 2020;14(5):1535-9. doi: 10.1016/j.dsx.2020.08.004. PubMed PMID: 32947751. PubMed PMCID: PMC7837010.
  12. Yang Z, Wang M, Zhu Z, et al. Coronavirus disease 2019 (COVID-19) and pregnancy: a systematic review. J Matern Fetal Neonatal Med. 2020:1-4. doi: 10.1080/14767058.2020.1759541. PubMed PMID: 32354293.
  13. Chen H, Guo J, Wang C, et al. Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records. Lancet. 2020;395(10226):809-15. doi: 10.1016/S0140-6736(20)30360-3. PubMed PMID: 32151335. PubMed PMCID: PMC7159281.
  14. Kazemi-Arpanahi H, Moulaei K, Shanbehzadeh M. Design and development of a web-based registry for Coronavirus (COVID-19) disease. Med J Islam Repub Iran. 2020;34:68. doi: 10.34171/mjiri.34.68. PubMed PMID: 32974234. PubMed PMCID: PMC7500427.
  15. Liang H, Acharya G. Novel corona virus disease (COVID-19) in pregnancy: What clinical recommendations to follow? Acta Obstet Gynecol Scand. 2020;99(4):439-42. doi: 10.1111/aogs.13836. PubMed PMID: 32141062.
  16. Panahi L, Amiri M, Pouy S. Risks of Novel Coronavirus Disease (COVID-19) in Pregnancy; a Narrative Review. Arch Acad Emerg Med. 2020;8(1):e34. PubMed PMID: 32232217. PubMed PMCID: PMC7092922.
  17. Coronado-Arroyo JC, Concepción-Zavaleta MJ, Zavaleta-Gutiérrez FE, et al. Is COVID-19 a risk factor for severe preeclampsia? Hospital experience in a developing country. Eur J Obstet Gynecol Reprod Biol. 2021;256:502-3. doi: 10.1016/j.ejogrb.2020.09.020. PubMed PMID: 32958322. PubMed PMCID: PMC7489262.
  18. Rolnik DL. Can COVID-19 in pregnancy cause pre-eclampsia? BJOG. 2020;127(11):1381. doi: 10.1111/1471-0528.16369. PubMed PMID: 32570284. PubMed PMCID: PMC7361765.
  19. World Health Organization. Self care during COVID-19. WHO; 2020 [cited 2020 June 16]. Available from:
  20. Centers for Disease Control and Prevention. Coping with Stress. CDC; 2020 [cited 2020 June 16]. Available from:
  21. International OCD Foundation. Obsessive Compulsive Disorder. OCD: 2020 [cited 2020 July 10]. Available from:
  22. Chin JP, Diehl VA, Norman KL. Development of an instrument measuring user satisfaction of the human-computer interface. Proceedings of the SIGCHI conference on Human factors in computing systems; USA: Association for Computing Machinery; 1988. p. 213-8. doi: 10.1145/57167.57203.
  23. Raghunath N, Dahmen J, Brown K, Cook D, Schmitter-Edgecombe M. Creating a digital memory notebook application for individuals with mild cognitive impairment to support everyday functioning. Disabil Rehabil Assist Technol. 2020;15(4):421-431. doi: 10.1080/17483107.2019.1587017. PubMed PMID: 30907223. PubMed PMCID: PMC7314313.
  24. Saeidnia H, Mohammadzadeh Z, Saeidnia M, et al. Identifying Requirements of a Self-care System on Smartphones for Preventing Coronavirus Diseas. Iran J Med Microbiol. 2020;14(3):241-51. doi: 10.30699/ijmm.14.3.241.
  25. Chaudhry BM, Faust L, Chawla NV. From Design to Development to Evaluation of a Pregnancy App for Low-Income Women in a Community-Based Setting. Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services; USA: Association for Computing Machinery; 2019. p. 1-11. doi: 10.1145/3338286.3340118.
  26. Sajjad UU, Shahid S. Baby+ a mobile application to support pregnant women in Pakistan. Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct; USA: Association for Computing Machinery; 2016. p. 667-74. doi: 10.1145/2957265.2961856.
  27. Tripp N, Hainey K, Liu A, Poulton A, Peek M, Kim J, Nanan R. An emerging model of maternity care: smartphone, midwife, doctor? Women Birth. 2014;27(1):64-7. doi: 10.1016/j.wombi.2013.11.001. PubMed PMID: 24295598.
  28. Rezaeean SM, Abedian Z, Latifnejad-Roudsari R, Mazloum SR, Abbasi Z. The effect of prenatal self-care based on orem’s theory on preterm birth occurrence in women at risk for preterm birth. Iran J Nurs Midwifery Res. 2020;25(3):242. doi: 10.4103/ijnmr.IJNMR_207_19. PubMed PMID: 32724771. PubMed PMCID: PMC7299423.