Developing an android-based application for early detection of postpartum depression symptoms in Indonesia

Irma Nurbaeti, Moch Syafii, Kustati Budi Lestari


DOI: https://doi.org/10.33546/bnj.1308

Abstract


Background: Postpartum depression has become a mental health problem in Indonesia. Screening symptoms of postpartum depression as early as one month during the postpartum period is needed. A smartphone application is considered one of the fastest ways for screening.

Objective: To develop an android-based application to early detect the symptoms of postpartum depression and evaluate its effectiveness.

Methods: The smartphone application was developed using Analysis, Design, Development, Implementation, and Evaluation (ADDIE) instruction model. The survey design was carried out to evaluate the effectiveness of the application among 109 postpartum mothers selected using convenience sampling. Data were collected from August to October 2019 in South Tangerang, Indonesia.

Results: The evaluation showed that the application is mostly positive. The appearance of the application is adequate (92.67%), easy to download (89.90%), understandable (96.33%), easy to fill-in (94.50%), beneficial (96.33%), new (90.83%), and reflecting psychological conditions (90.83%).

Conclusion: The symptoms of postpartum depression can be measured by the android-based application. It is therefore recommended to Indonesian mothers use this app to detect postpartum depression symptoms early. This app also helps nurses and midwives to prevent depression among postpartum mothers. Also, the app can be imitated by other developers for non-Indonesian mothers.

Funding: This research was funded by Universitas Islam Negeri Syarif Hidayatullah Jakarta under the research grant scheme for collaborative research (Un.01/KPA/511/2019).


Keywords


ADDIE model; digital application; android; postpartum depression; smartphone; nursing; Indonesia

Full Text:

PDF

References


Battles, J. B. (2006). Improving patient safety by instructional systems design. BMJ Quality & Safety, 15(suppl 1), i25-i29. http://dx.doi.org/10.1136/qshc.2005.015917

Bhusal, B. R., Bhandari, N., Chapagai, M., & Gavidia, T. (2016). Validating the Edinburgh Postnatal Depression Scale as a screening tool for postpartum depression in Kathmandu, Nepal. International Journal of Mental Health Systems, 10(1), 1-7. https://doi.org/10.1186/s13033-016-0102-6

Cox, J. L., Holden, J. M., & Sagovsky, R. (1987). Detection of postnatal depression: Development of the 10-item Edinburgh Postnatal Depression Scale. The British Journal of Psychiatry, 150(6), 782-786. https://doi.org/10.1192/bjp.150.6.782

Fajriya, I. I., Supriyana, S., Bahiyatun, B., & Widyawati, M. N. (2017). Developing a web-based information system in detection of high-risk pregnancies in Semarang, Indonesia: ADDIE model. Belitung Nursing Journal, 3(4), 390-398. https://doi.org/10.33546/bnj.160

Fiala, A., Švancara, J., Klánová, J., & Kašpárek, T. (2017). Sociodemographic and delivery risk factors for developing postpartum depression in a sample of 3233 mothers from the Czech ELSPAC study. BMC Psychiatry, 17(1), 1-10. https://doi.org/10.1186/s12888-017-1261-y

Field, T. (2010). Postpartum depression effects on early interactions, parenting, and safety practices: A review. Infant Behavior and Development, 33(1), 1-6. https://doi.org/ 10.1016/j.infbeh.2009.10.005

Garthus-Niegel, S., Ayers, S., Martini, J., Von Soest, T., & Eberhard-Gran, M. (2017). The impact of postpartum post-traumatic stress disorder symptoms on child development: A population-based, 2-year follow-up study. Psychological Medicine, 47(1), 161-170. https://doi.org/10.1017/s003329 171600235x

Hadi, S. P. I., Kuntjoro, T., Sumarni, S., Anwar, M. C., Widyawati, M. N., & Pujiastuti, R. S. E. (2017). The development of e-partograph module as a learning platform for midwifery students: The ADDIE model. Belitung Nursing Journal, 3(2), 148-156. https://doi.org/10.33546/bnj.77

Hanington, L., Ramchandani, P., & Stein, A. (2010). Parental depression and child temperament: Assessing child to parent effects in a longitudinal population study. Infant Behavior and Development, 33(1), 88-95. https://doi.org/10.1016/j.infbeh. 2009.11.004

Hannum, W. H., & Briggs, L. J. (1982). How does instructional systems design differ from traditional instruction? Educational Technology, 22(1), 9-14.

Idaiani, S., & Basuki, B. (2012). Postpartum depression in Indonesia women: A national study. Health Science Journal of Indonesia, 3(1), 3-8.

Kawai, E., Takagai, S., Takei, N., Itoh, H., Kanayama, N., Tsuchiya, K. J., & Team, H. B. C. S. (2017). Maternal postpartum depressive symptoms predict delay in non-verbal communication in 14-month-old infants. Infant Behavior and Development, 46, 33-45. https://doi.org/10.1016/j.infbeh.2016.11.006

Kholifah, L. N., Supriyana, S., Bahiyatun, B., & Widyawati, M. N. (2017). Using ADDIE model to design early detection system of child growth and development in the Community Health Center of Bendosari, Semarang Indonesia. Belitung Nursing Journal, 3(3), 205-212. https://doi.org/10.33546/bnj.105

Kusumadewi, I., Irawati, R., Elvira, S. D., & Wibisono, S. (1998). Validation study of the Edinburgh postnatal depression scale. Indonesia Psychiatric Quarterly, 31(2), 99-110.

Nurbaeti, I., Deoisres, W., & Hengudomsub, P. (2018). Postpartum depression in Indonesian mothers: Its changes and predicting factors. Pacific Rim International Journal of Nursing Research, 22(2), 93-105.

O'Hara, M. W., & McCabe, J. E. (2013). Postpartum depression: Current status and future directions. Annual Review of Clinical Psychology, 9, 379-407. https://doi.org/10.1146/annurev-clinpsy-050212-185612

Qandil, S., Jabr, S., Wagler, S., & Collin, S. M. (2016). Postpartum depression in the Occupied Palestinian Territory: A longitudinal study in Bethlehem. BMC Pregnancy and Childbirth, 16(1), 1-10. https://doi.org/10.1186/s12884-016-1155-x

Schmied, V., Langdon, R., Matthey, S., Kemp, L., Austin, M.-P., & Johnson, M. (2016). Antenatal psychosocial risk status and Australian women’s use of primary care and specialist mental health services in the year after birth: A prospective study. BMC Women's Health, 16(1), 1-13. https://doi.org/10.1186/s12905-016-0344-0

Töreki, A., Andó, B., Keresztúri, A., Sikovanyecz, J., Dudas, R. B., Janka, Z., . . . Pál, A. (2013). The Edinburgh Postnatal Depression Scale: Translation and antepartum validation for a Hungarian sample. Midwifery, 29(4), 308-315. https://doi.org/ 10.1016/j.midw.2012.01.011

Underwood, L., Waldie, K. E., D’Souza, S., Peterson, E. R., & Morton, S. M. B. (2017). A longitudinal study of pre-pregnancy and pregnancy risk factors associated with antenatal and postnatal symptoms of depression: Evidence from growing up in New Zealand. Maternal and Child Health Journal, 21(4), 915-931. https://doi.org/10.1007/s10995-016-2191-x

Werner, E., Miller, M., Osborne, L. M., Kuzava, S., & Monk, C. (2015). Preventing postpartum depression: Review and recommendations. Archives of Women's Mental Health, 18(1), 41-60.

WHO. (2016). International statistical classification of disease and related health problems. Geneva: World Health Organization.

WHO. (2017). Maternal mental health. Retrieved from http://www.who.int/mentalhealth/maternal-child/maternal_mental_health/en

Yusuff, A. S. M., Tang, L., Binns, C. W., & Lee, A. H. (2015). Prevalence and risk factors for postnatal depression in Sabah, Malaysia: A cohort study. Women and Birth, 28(1), 25-29. https://doi.org/10.1016/j.wombi.2014.11.002


Data citation

No data published to others

Refbacks

  • There are currently no refbacks.




Copyright (c) 2021 Irma Nurbaeti, Moch Syafii, Kustati Budi Lestari

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