Primagravida Application Usability And User Satisfaction As A Digital Health Initiative For Pregnancy Educational Media And Remote Rural Monitoring

Wiwin Lismidiati(1*), Dimas Sumunar(2), Happy Indah Kusumawati(3), Mia Purnama(4)

(1) Universities Gadjah Mada
(2) Health Informatics Programme, Karolinska Institutet, Sweden
(3) Department of Basic and Emergency Nursing, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
(4) School of Nursing, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Indonesia
(*) Corresponding Author


Introduction: Nutritional status during pregnancy is one of the critical factors in determining maternal and fetal development, affecting birth weight, perinatal mortality, and infant growth. Regular monitoring of pregnant women’s health is crucial as preventive measures and promotive approaches for both mother and fetus. Primagravida, a web-based system, was developed to assist pregnant women in rural areas in monitoring their health, especially during the COVID-19 pandemic. This study aimed to evaluate usability and user satisfaction in using Primagravida. Method: Quantitative descriptive research with a cross-sectional design was employed. The study was conducted in the Kalibawang Primary Health Center (PHC) service area between June - October 2021. Seventy-nine pregnant women participated in this study. Pregnant women were registered and observed for their pregnancy profile through a web-based service integrated with PHC maternal and child health care. In evaluating the system usability, the current study utilized System Usability Scale (SUS), while a modified users’ satisfaction questionnaire was employed to capture participants’ perceptions. Results: Results indicated that most participants were satisfied with the benefits, information relevance, content adequacy and clarity, platform availability, and up-to-the-minute curated knowledge provided by the system. Utilization of this system reduced the number of visits to PHC since health monitoring could be performed virtually. Regarding system usability, respondents reported a score of 70, and the average score of respondents was 66. Conclusion: Pregnant women have adopted the Primagravida application to monitor their health and fetal status in Kalibawang District, Kulon Progo. Feature development is required to accommodate the upcoming demands of holistic maternal and perinatal care.


Pregnancy; Primagravida; Usability; User Satisfaction; Web-Based-Application

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1. Moller AB, Patten JH, Hanson C, Morgan A, Say L, Diaz T, et al. Monitoring maternal and newborn health outcomes globally: a brief history of key events and initiatives. Vol. 24, Tropical Medicine and International Health. Blackwell Publishing Ltd; 2019. p. 1342–68.

2. Dinas Kesehatan Provinsi DIY. Profil Kesehatan Daerah Istimewa Yogyakarta Tahun 2021. 2021.

3. World Health Organization. Indonesia: WHO Coronavirus Disease (COVID-19) [Internet]. Website. 2022 [cited 2021 Oct 2]. Available from:

4. Direktorat Jenderal Pencegahan dan Pengendalian Penyakit. PEDOMAN PENCEGAHAN DAN PENGENDALIAN CORONAVIRUS DISEASE (COVID-19). 4th ed. dr. Listiana Aziza, Sp.KP; Adistikah Aqmarina, SKM; Maulidiah Ihsan S, editor. Jakarta: Kementerian Kesehatan RI; 2020. 136 p.

5. Sierpina VS. The impact of COVID-19 on medical education. Explore [Internet]. 2020;000:8307. Available from:

6. van den Broucke S. Why health promotion matters to the COVID-19 pandemic, and vice versa. Vol. 35, Health promotion international. 2020. p. 181–6.

7. Nakayama A, Takayama N, Kobayashi M, Hyodo K, Maeshima N, Takayuki F, et al. Remote cardiac rehabilitation is a good alternative of outpatient cardiac rehabilitation in the COVID-19 era. Environ Health Prev Med. 2020;25(1):4–9.

8. Sharfina Z, Santoso HB. An Indonesian adaptation of the System Usability Scale (SUS). 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016. 2017 Mar 6;145–8.

9. Peres SC, Pham T, Phillips R. Validation of the system usability scale (sus): Sus in the wild. In: Proceedings of the Human Factors and Ergonomics Society. 2013. p. 192–6.

10. del Rocio Sevilla-Gonzalez M, Loaeza LM, Lazaro-Carrera LS, Ramirez BB, Rodríguez AV, Peralta-Pedrero ML, et al. Spanish version of the system usability scale for the assessment of electronic tools: Development and validation. JMIR Hum Factors. 2020 Oct 1;7(4).

11. Doll WJ, Deng X, Raghunathan TS, Torkzadeh G, Xia W. The Meaning and Measurement of User Satisfaction: A Multigroup Invariance Analysis of the End-User Computing Satisfaction Instrument. [Internet]. 2014 [cited 2022 Jan 2];21(1):227–62. Available from:

12. Aggelidis VP, Chatzoglou PD. Hospital information systems: Measuring end user computing satisfaction (EUCS). J Biomed Inform. 2012 Jun;45(3):566–79.

13. U.S General Services Administration. System Usability Scale (SUS) | [Internet]. 2021 [cited 2022 Jan 2]. Available from:

14. Cayola L, Macías JA. Systematic guidance on usability methods in user-centered software development. Inf Softw Technol. 2018 May 1;97:163–75.

15. Hartson R, Pyla PS, Johnson J, Tullis T, Xie I. User Satisfaction - an overview | ScienceDirect Topics [Internet]. 2021 [cited 2021 Nov 2]. Available from:

16. Vaezi R. User Satisfaction with Information Systems: A Comprehensive Model of Attribute Satisfaction. 2013.

17. Tarricone R, Petracca F, Ciani O, Cucciniello M. Distinguishing features in the assessment of mHealth apps. Expert Rev Pharmacoecon Outcomes Res. 2021;21(4):521–6.

18. Jake-Schoffman DE, Silfee VJ, Waring ME, Boudreaux ED, Sadasivam RS, Mullen SP, et al. Methods for evaluating the content, usability, and efficacy of commercial mobile health apps. JMIR Mhealth Uhealth. 2017 Dec 1;5(12).

19. Fitriantoro MJ, Husnah N. The Implementation of the End-User Computing Satisfaction Model into SCeLE: A Study of the Undergraduate Program of the Accounting Department in Universitas Indonesia. 2018.

20. Prastyo E, Budiyanto CW, Yuana RA. Measuring mobile applications user’s satisfaction: A closer look into the appropriate information systems user’s satisfaction. IOP Conf Ser Mater Sci Eng. 2021 Mar 1;1098(4):042002.

21. Anggara R, Budiyanto CW, Hatta P. Comparison between TAM, EUCS, TTF analysis to evaluate user acceptance for conference management system. In: AIP Conference Proceedings. American Institute of Physics Inc.; 2019.

22. Garg S, Sharma S. User Satisfaction and Continuance Intention for Using E-Training: A Structural Equation Model. Vision. 2020 Dec 1;24(4):441–51.

23. Xu F, Du JT. Factors influencing users’ satisfaction and loyalty to digital libraries in Chinese universities. Comput Human Behav. 2018 Jun 1;83:64–72.

24. Amin M, Rezaei S, Abolghasemi M. User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International. 2014 Jul 29;5(3):258–74.

25. Ghanifia A, Amalia R, Nugroho A, Fahrudi LI. The Relationship Between Perceived Ease of Use, Perceived Usefulness and Perceived Loss of Control with User Satisfaction in Mandatory Setting. 2021.


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