Skip to main navigation menu Skip to main content Skip to site footer
Padjadjaran of Nursing Journal

Original

Vol. 11 No. 2 (2023): Jurnal Keperawatan Padjadjaran

Development of early detection of low-birth-weight instrument based on maternal risk factors: A mixed-methods study

DOI
https://doi.org/10.24198/jkp.v11i2.2197
Submitted
December 25, 2022
Published
2023-08-09

Abstract

Background: Babies born with low birth weight (LBW) are at a higher risk of experiencing health problems. The absence of quick and reliable instruments to detect LBW conditions can significantly impact the growth and development of newborns.

Purpose: This study aims to develop an instrument to detect the incidence of LBW based on mother’s risk factor.

Methods: In this study, mixed-methods research was conducted,   consisting of qualitative and quantitative stages. A total of 20 participants participated in Focus Group Discussions (FGDs) during the qualitative stage, and 321 respondents took part in the quantitative stage. During the qualitative stage, the process of labeling, synthesizing significant codes, and theoretical integration was carried out. Furthermore, at the quantitative stage, the calculation of the cut-off point using receiver operating characteristic (ROC) analysis was performed.

Result: Four indicators were added in newly developed instrument; there are currently ten indicators based on results of our FGD with the experts (OR/score: 74.395/10, 15.557/2, 13.877/2, 9.952/2, 7.203/1, 2.756/1, 2.532/1, 1.280/1, 1.268/1, and 1.163/1). Instrument was tested on 321 samples; it was able to detect 111 (88.1%) cases from a total 123 (38.3%) cases of LBW (p=0.000). Cut-off point determination  used Receiver Operating Characteristic (ROC) curve; any score greater than 3 was predicted with LBW incidence (AUC=0.952, 95% CI 0.923-0.973).

Conclusions: LBW could be predicted by our newly developed instrument. These finding could help  health workers or policy makers to reduce the LBW incidence by early detection. Further study is needed to determine the ideal screening time to maximize the usage of this instrument.

Article Matrics
Abstract views : 851 times PDF Downloads: 860

Downloads

Download data is not yet available.

References

  1. Bansal, P., Garg, S., & Upadhyay, H. P. (2019). Prevalence of low birth weight babies and its association with socio-cultural and maternal risk factors among the institutional deliveries in Bharatpur, Nepal. Asian Journal of Medical Sciences, 10(1), 77–85. https://doi.org/10.3126/ajms.v10i1.21665
  2. Borah, M., & Agarwalla, R. (2016). Maternal and socio-demographic determinants of low birth weight (LBW): A community-based study in a rural block of Assam. Journal of Postgraduate Medicine, 62(3), 178. https://doi.org/10.4103/0022-3859.184275
  3. Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
  4. Cutland, C. L., Lackritz, E. M., Mallett-Moore, T., Bardají, A., Chandrasekaran, R., Lahariya, C., Nisar, M. I., Tapia, M. D., Pathirana, J., & Kochhar, S. (2017). Low birth weight: Case definition & guidelines for data collection, analysis, and presentation of maternal immunization safety data. Vaccine, 35(48Part A), 6492. https://doi.org/10.1016/j.vaccine.2017.01.049
  5. DeMarco, N., Twynstra, J., Ospina, M. B., Darrington, M., Whippey, C., & Seabrook, J. A. (2021). Prevalence of low birth weight, premature birth, and stillbirth among pregnant adolescents in Canada: A systematic review and meta-analysis. Journal of Pediatric and Adolescent Gynecology, 34(4), 530–537. https://doi.org/10.1016/j.jpag.2021.03.003
  6. Hinkle, S. N., Albert, P. S., Mendola, P., Sjaarda, L. A., Yeung, E., Boghossian, N. S., & Laughon, S. K. (2014). The association between parity and birthweight in a longitudinal consecutive pregnancy cohort. Paediatric and Perinatal Epidemiology, 28(2), 106–115. https://doi.org/10.1111/ppe.12099
  7. Ivankova, N. V, Creswell, J. W., & Stick, S. L. (2006). Using mixed-methods sequential explanatory design: From theory to practice. Field Methods, 18(1), 3–20. https://doi.org/10.1177/1525822X05282260
  8. Klankhajhon, S., & Sthien, A. (2022). A narrative review of physical activity and exercise during pregnancy: Nurse’s role. The Journal of Palembang Nursing Studies, 1(2), 49–60. https://doi.org/10.55048/jpns.v1i2.16
  9. Liu, Y., Li, N., An, H., Li, Z., Zhang, L., Li, H., Zhang, Y., & Ye, R. (2021). Impact of gestational hypertension and preeclampsia on low birthweight and small-for-gestational-age infants in China: A large prospective cohort study. The Journal of Clinical Hypertension, 23(4), 835–842. https://doi.org/10.1111/jch.14176
  10. Lowensohn, R. I., Stadler, D. D., & Naze, C. (2016). Current concepts of maternal nutrition. Obstetrical & Gynecological Survey, 71(7), 413.
  11. Luo, X., & Lim, J. M.-H. (2022). Succinct summaries of research methods: A genre analysis of expert writers’ communicative resources in social sciences . Iberica, 2022(44), 75–100. https://doi.org/10.17398/2340-2784.44.75
  12. Ministry of Health Republic of Indonesia. (2018). Hasil Utama Riskesdas 2018 (Main Results of Riskesdas 2018).
  13. Ministry of Health Republic of Indonesia. (2019). Profil kesehatan Indonesia 2018 [Indonesia health profile 2018].
  14. Mohamad, Z. S., & Despois, D. Y. (2022). Spillover-crossover effects of work-life conflict among married academicians in Private University. Pertanika Journal of Social Sciences and Humanities, 30(1), 139–157. https://doi.org/10.47836/pjssh.30.1.08
  15. Mohamed, H. J. J., Loy, S. L., Mitra, A. K., Kaur, S., Teoh, A. N., Rahman, S. H. A., & Amarra, M. S. (2022). Maternal diet, nutritional status and infant birth weight in Malaysia: A scoping review. BMC Pregnancy and Childbirth, 22(1). https://doi.org/10.1186/s12884-022-04616-z
  16. Momeni, M., Danaei, M., Kermani, A. J. N., Bakhshandeh, M., Foroodnia, S., Mahmoudabadi, Z., Amirzadeh, R., & Safizadeh, H. (2017). Prevalence and risk factors of low birth weight in the Southeast of Iran. International Journal of Preventive Medicine, 8. https://doi.org/10.4103/ijpvm.IJPVM_112_16
  17. Moreira, A. I. M., Sousa, P. R. M. de, & Sarno, F. (2018). Low birth weight and its associated factors. Einstein (Sao Paulo), 16.
  18. Muchemi, O. M., Echoka, E., & Makokha, A. (2015). Factors associated with low birth weight among neonates born at Olkalou District Hospital, Central Region, Kenya. Pan African Medical Journal, 20(1), 1–11. https://doi.org/10.11604/pamj.2015.20.108.4831
  19. Nair, A., & Devi, S. (2015). Obstetric outcome of teenage pregnancy in comparison with pregnant women of 20-29 years: A retrospective study. International Journal of Reproduction, Contraception, Obstetrics and Gynecology, 4(5), 1319–1324. https://doi.org/10.18203/2320-1770.ijrcog20150703
  20. Patel, S., Verma, N. R., Padhi, P., Naik, T., Nanda, R., Naik, G., & Mohapatra, E. (2021). Retrospective analysis to identify the association of various determinants on birth weight. Journal of Family Medicine and Primary Care, 10(1), 496. https://doi.org/10.4103/jfmpc.jfmpc_1493_20
  21. Pramono, P., & Paramita, A. (2015). SDG’s health indicators in Indonesia’, in tobacco control and Indonesia’s development goals. In Buletin Penelitian Sistem Kesehatan,18. https://doi.org/10.33541/sp.v20i1.1470
  22. Rosnani, R., & Mediarti, D. (2022). Overview of post-partum mother adaptation: A healthy lifestyle needs. The Journal of Palembang Nursing Studies, 1(3), 134–138. https://doi.org/10.55048/jpns.v1i3.59
  23. Su, D., Samson, K., Garg, A., Hanson, C., Berry, A. L. A., Lin, G., & Qu, M. (2018). Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data. Preventive Medicine Reports, 11(28 May 2018), 63–68. https://doi.org/10.1016/j.pmedr.2018.05.011
  24. Surabaya City Government. (2016). Health Profile 2016.
  25. Surabaya Health Office. (2018). Health Profile 2018.
  26. Tessema, Z. T., Tamirat, K. S., Teshale, A. B., & Tesema, G. A. (2021). Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model. PloS One, 16(3), e0248417. https://doi.org/10.1371/journal.pone.0248417
  27. Turner, D., Ting, H., Lim, T.-Y., & Tan, K.-L. (2021). Applying qualitative approach and analysis in business research. Asian Journal of Business Research, 11(3), 1–13. https://doi.org/10.14707/ajbr.210111
  28. Wibowo, R. P., Prasetyo, B., Fatmaningrum, W., & Modi, A. H. (2022). Correlation between early age pregnancy with Low Body Weight (LBW) newborn at Universitas Airlangga Academic Hospital, Surabaya, Indonesia. Biomolecular and Health Science Journal, 5(1), 16–18. https://doi.org/10.20473/bhsj.v5i1.34442
  29. World Health Organization. (2014). Adolescent Pregnancy. Geneva: World Health Organization.
  30. World Health Organization. (2014). Global nutrition targets 2025: low birth weight policy brief (No. WHO/NMH/NHD/14.5). World Health Organization.