The Effectiveness of M.D-Risti Application as an Alternative for Independent Early Detection of Risk of Pregnancy during the Pandemic COVID-19 in Palu City, Central Sulawesi, Indonesia

Authors

  • Ketut Suarayasa Department of Public Health, Faculty of Medicine, Tadulako University, Palu, Indonesia
  • Elli Yane Bangkele Department of Public Health, Faculty of Medicine, Tadulako University, Palu, Indonesia
  • Sumarni Sumarni Department of Nutrition, Faculty of Medicine, Tadulako University, Palu, Indonesia
  • Haerani Harun Department of Clinical Pathology, Faculty of Medicine, Tadulako University, Palu, Indonesia
  • Bohari Bohari Department of Nutrition, Faculty of Medicine, Universitas Sultan Ageng Tirtayasa, Banten, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2021.5623

Keywords:

Early Detection, Pregnancy Risk, m.d-Risti Application, COVID-19

Abstract

BACKGROUND: Early detection of risk factors for pregnancy is carried out through regular prenatal examinations from an early age to detect abnormalities/disorders/illnesses suffered by pregnant women early. Mobile applications are very helpful in the process of early detection and recording of health workers’ reports, especially during a pandemic.

AIM: This study aims to assess the knowledge, attitudes, actions, and skills of pregnant women in the early detection of high-risk pregnancy before and after the intervention and the effectiveness of M.D-Risti modules and applications.

METHODS: This study used a quasi-experiment design research design with a pre-post only group design consisting of an intervention group and a control group at 4 health centers in Palu City with a purposive sampling technique of 43 respondents per group with univariate and bivariate analysis.

RESULTS: The results showed that there was a significant difference in the level of knowledge (p = 0.00), attitude (p = 0.00), action (p = 0.00), and the skills of pregnant women in early detection of pregnancy (p = 0.00) before and after treatment in the intervention group. There was a significant difference between the two groups with a significant value on knowledge (p = 0.00), attitude (p = 0.00), action (p = 0.00), and skills of pregnant women in doing early detection of pregnancy risk independently (p = 0.00).

CONCLUSION: The intervention of M.D-Risti modules and applications had a significant effect on changes in knowledge, attitudes, actions, and skills of pregnant women in early detection of pregnancy risk compared to pregnant women who were not given intervention at all. The M.D-Risti application is one of the solutions during the COVID-19 pandemic and in the long term, all health centers in Palu city can use it to help monitor the risk of pregnancy more quickly

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References

World Health Organization. World Health Statistics 2016: Monitoring Health for the SDGs Sustainable Development Goals. Geneva: World Health Organization; 2016. https://doi.org/10.26719/2016.22.5.350

Misra DP, Grason H. Achieving safe motherhood: Applying a life course and multiple determinants perinatal health framework in public health. Womens Health Issues. 2006;16(4):159-75. https://doi.org/10.1016/j.whi.2006.02.006 PMid:16920521

Kemenkes RI. Profil Data Kesehatan Indonesia Tahun 2011. Jakarta: Kementerian Kesehatan Republik Indonesia; 2012.

World Health Organization. State of Inequality: Reproductive Maternal Newborn and Child Health: Interactive Visualization of Health Data. Geneva: World Health Organization; 2015.

Saifuddin AB. Issues in training for essential maternal health care in Indonesia. Med J Indones. 1997;6(3):140-8. https://doi.org/10.13181/mji.v6i3.817

Depkes RI. Pedoman Pelayanan Antenatal Terpadu. Jakarta: Direktorat Jenderal Bina Kesehatan Masyarakat Direktorat Bina Kesehatan Ibu; 2010.

Chamberlain G. ABC of Antenatal Care. London: BMJ Books; 2002.

Marmi SS. Asuhan Kebidanan Pada Masa Antenatal. Yoyakarta: Pal Mall; 2011.

Manuaba IB, Manuaba IC, Manuaba I. Pengantar Kuliah Obstetri. Jakarta: EGC; 2007. p. 450-5.

Sirua NH.Gambaran Faktor-Faktor Risiko Kehamilan Berdasarkan Kartu Skor Poedji Rochjati (KSPR) di Pos Kesehatan Kelurahan Mojo, Surabaya Periode Januari-Juni 2017. Indonesia: Universitas Airlangga; 2018. https://doi.org/10.20473/mog.v23i3.2073

Widarta GD, Laksana MA, Sulistyono A, Purnomo W. Early Detection of Risk for Pregnant Women with the Poedji Rochjati Score Card and Prevention of the Factor Four Too Late. Majalah Obstet Ginekol. 2015;23(1):28-32. https://doi.org/10.20473/mog.v23i1.2100 12.

Menendez C, Gonzalez R, Donnay F, Leke RG. Avoiding indirect effects of COVID-19 on maternal and child health. Lancet Glob Health. 2020;8(7):e863-4. https://doi.org/10.1016/ s2214-109x(20)30239-4 PMid:32413281

Shikuku D, Nyaoke I, Gichuru S, Maina O, Eyinda M, Godia P, et al. Early Indirect Impact of COVID-19 Pandemic on Utilization and Outcomes of Reproductive, Maternal, Newborn, Child and Adolescent Health Services in Kenya, medRxiv; 2020. https://doi.org/10.1101/2020.09.09.20191247

Harindra LD. Web-based application development of early detection of high-risk maternal referral system in the islands region (SIDILAN) in South Bangka regency. Indian J Public Health Res Dev. 2020;11(7):301-7.

Sugiartini DK. The influence of pregnant women classes on knowledge, attitudes and skills of conducting early detection of danger signs during the second trimester of pregnancy in buleleng regency. J Qual Public Health. 2020;3(2):564-74. https://doi.org/10.30994/jqph.v3i2.106

Zakiyya A, Rusmini R, Sartika QL. Enhancing the pregnant women knowledge through health education about high-risk pregnancy. J Kesehatan Anak. 2019;13(1):63-73. DOI: https://doi.org/10.29238/kia.v13i1.415.

Notoatmodjo S. Pengantar Pendidikan. Kesehatan dan Ilmu Perilaku Kesehatan. Yogyakarta: Andi Offset; 1997.

Newcomb TM. Psikologi Social, Diponegoro; 1985.

Rukiyah AY, Yulianti L. Asuhan Kebidanan IV (Patologi Kebidanan). Jakarta: Trans Info Media; 2010.

Unicef, Ringkasan Kajian Kesehatan Ibu dan Anak. Jakarta: Unicef Indonesia; 2012.

Azinar M, Wahyuningsih AS. Pos Keluarga Siaga Untuk Risk Mapping dan Micro Counseling Kehamilan Risiko Tinggi di Daerah Pedesaan Kabupaten Kendal. Vol. 16. Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran; 2019. https://doi.org/10.15294/rekayasa.v16i2.17559

Anggraeny FT, Muttaqin F, Munir MS. Modeled Early Detection of Pregnancy Risk Based on Poedji Rochjati Score Card Using Relief and Neural Network, Proceedings. Vol. 1. Chennai: IJCST; 2017. Available from: http://www.ojs.pnb.ac.id/index.php/proceedings/article/view/920. [Last accessed on 2020 Oct 07].

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Published

2021-01-29

How to Cite

1.
Suarayasa K, Bangkele EY, Sumarni S, Harun H, Bohari B. The Effectiveness of M.D-Risti Application as an Alternative for Independent Early Detection of Risk of Pregnancy during the Pandemic COVID-19 in Palu City, Central Sulawesi, Indonesia. Open Access Maced J Med Sci [Internet]. 2021 Jan. 29 [cited 2024 Nov. 26];9(E):43-9. Available from: https://oamjms.eu/index.php/mjms/article/view/5623

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Public Health Education and Training

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