Technology-Based (Mhealth) and Standard/Traditional Maternal Care for Pregnant Woman: A Systematic Literature Review

The world of health has changed significantly since the advent of smartphones. Smartphones have been widely known to facilitate the search for health information in the mobile Health (mHealth) system, which is used to improve the quality of life for patients, such as communication between doctors and patients. This systematic literature review aims to identify the use of mHealth as a digital communication tool for pregnant women by comparing technology-based and standard-based pregnancy care. The method used is a systematic review of articles related to pregnancy care that utilize mHealth for pregnant women. The articles were obtained from the database based on the PICO framework; we searched articles using seven databases. The selection was adjusted to the inclusion criteria, data extraction, study quality evaluation, and results from synthesis. From the disbursement, 543 articles were obtained and 10 results were obtained after the screening. After a critical appraisal was carried out, four articles were obtained. Advantages can be in the form of increasing knowledge of pregnant women who use mHealth due to the availability of information needed by pregnant women in the mHealth application. mHealth also provides information about their babies, so the impact of mHealth is not only for mothers. mHealth is a promising solution in pregnancy care compared to the standard of maternal care

Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method

With the widespread application of digital healthcare, mobile health (mHealth) services are also developing in maternal and child health, primarily through community-based services, such as Posyandu in Indonesia. Patients need media for consultation and decision-making, while health workers are constrained in responding quickly. This study aimed to obtain information from pregnant women and midwives in developing a decision tree model as material for building a semi-automated chatbot. Using an exploratory qualitative approach, semi-structured interviews were conducted through focus group discussions (FGD) with pregnant women (n = 10) and midwives (n = 12) in March 2022. The results showed 38 codes, 15 categories, and 7 subthemes that generated 3 major themes: maternal health education, information on maternal health services, and health monitoring. The decision tree method was applied from these themes based on the needs of users, evidence, and expert sources to ensure quality. In summary, the need to use a semi-automated chatbot can be applied to education about maternal health and monitoring, where severe cases should be provided with non-automated communication with midwives. Applying the decision tree method ensured quality content, supported a clinical decision, and assisted in early detection. Furthermore, future research needs to measure user evaluation

PERBEDAAN ANTARA KUALITAS HIDUP IBU PADA PERIODE KEHAMILAN AKHIR DAN NIFAS AWAL DI KOTA YOGYAKARTA

Abstract   Background: The success in providing care to the mother during pregnancy and postpartum period is determined by the ability to provide comprehensive care. The pregnancy and postpartum comprehensive care’s needs can be seen through the measurement of quality of life. Objective: To find out the differences quality of life of between mother in late pregnancy and early puerperium, in terms of analysis of maternal characteristics and mean scores from each domain of quality of life. Method: This study uses a cross-sectional design to the 120 pregnant women and 102 postpartum mothers. The data was collected in September until November 2019, at three Puskesmas Rawat Inap in Kota Yogyakarta. The data collection tool used the Indonesian version of the WHOQOL BREF questionnaire, and analyzed with the One Way Anova test and the Manova test. Results: The results showed that the characteristics associated with quality of life were the level of education of pregnant women (to all domains of quality of life) and parity of pregnant women (to the domain of physical). The quality of life scores of postpartum mothers compared with pregnant women in all domains, consistently showed that had lower mean scores, but the difference was not statistically significant. Conclusion: The quality of life between mother in late pregnancy and early puerperium was relatively equal, with lower tendency in early puerperium mother.   Keywords: quality of life, pregnancy, childbirth   Abstrak   Latar belakang: Keberhasilan dalam memberikan asuhan kepada ibu pada periode kehamilan dan nifas ditentukan dari kemampuan memberikan asuhan pasien/klien secara komprehensif. Penilaian kebutuhan ibu hamil dan nifas terhadap asuhan yang komprehensif dapat dilihat melalui hasil pengukuran kualitas hidup. Tujuan: Mengetahui perbedaan kualitas hidup ibu hamil dan nifas, ditinjau dari analisis karakteristik ibu dan rerata skor dari masing-masing domain kualitas hidup. Metode: Penelitian ini menggunakan desain potong lintang. Sampel pada penelitian ini adalah 120 ibu hamil dan 102 ibu nifas. Pengambilan data dilakukan pada bulan September hingga November 2019, pada tiga Puskesmas Rawat Inap di Kota Yogyakarta. Alat pengumpulan data menggunakan kuisioner WHOQOL BREF versi Indonesia. Data yang telah diperoleh dianalisis dengan uji one way Anova dan uji Manova. Hasil: Hasil penelitian menunjukkan bahwa karakteristik yang berhubungan dengan kualitas hidup adalah tingkat pendidikan ibu hamil (terhadap seluruh domain kualitas hidup) dan paritas ibu hamil (terhadap domain kesehatan fisik). Rerata skor kualitas hidup pada ibu nifas dibandingkan dengan kualitas hidup ibu hamil secara konsisten pada seluruh domain menunjukkan nilai yang lebih rendah, namun perbedaan tersebut tidak bermakna secara statistik. Kesimpulan: Kualitas hidup ibu hamil dan ibu nifas relatif sama dengan kecenderungan lebih rendah pada kualitas hidup ibu nifas   Kata kunci: kualitas hidup, hamil, nifa

Development of a Chatbot for Pregnant Women on a <i>Posyandu</i> Application in Indonesia: From Qualitative Approach to Decision Tree Method

With the widespread application of digital healthcare, mobile health (mHealth) services are also developing in maternal and child health, primarily through community-based services, such as Posyandu in Indonesia. Patients need media for consultation and decision-making, while health workers are constrained in responding quickly. This study aimed to obtain information from pregnant women and midwives in developing a decision tree model as material for building a semi-automated chatbot. Using an exploratory qualitative approach, semi-structured interviews were conducted through focus group discussions (FGD) with pregnant women (n = 10) and midwives (n = 12) in March 2022. The results showed 38 codes, 15 categories, and 7 subthemes that generated 3 major themes: maternal health education, information on maternal health services, and health monitoring. The decision tree method was applied from these themes based on the needs of users, evidence, and expert sources to ensure quality. In summary, the need to use a semi-automated chatbot can be applied to education about maternal health and monitoring, where severe cases should be provided with non-automated communication with midwives. Applying the decision tree method ensured quality content, supported a clinical decision, and assisted in early detection. Furthermore, future research needs to measure user evaluation

Midwifery Continuity of Care in Indonesia: Initiation of Mobile Health Development Integrating Midwives&rsquo; Competency and Service Needs

Midwives&rsquo; competence in providing continuity of care using mobile health (mHealth) applications is limited in developing countries. This study identified and explored midwives&rsquo; competency and service needs to develop mHealth in Midwifery Continuity of Care (MCOC) education and training. It used an explanatory sequential mixed method, and was conducted from August to December 2021. A cross-sectional approach was used to find the characteristics and competency scope of 373 midwives in West Java, and continued with a qualitative design through a Focus Group Discussion (FGD) of 13 midwives. Descriptive data analysis (frequency, mean, deviation standard) and qualitative data analysis (coding, sub-themes, and theme) were conducted. In terms of the midwives who participated in this study, more than half were aged &le; 35 years (58.98%), with a working period &gt; 10 years (56.30%), had diploma degrees (71.12%), and used smartphones on average 1&ndash;12 h/day (78.28%). Most midwives needed to develop competency in the MCOC scope, including its early detection of the risk factor of complications and treatment management. They were concerned about the purposes, benefits, and design of mHealth. In summary, midwives&rsquo; competency indicators for early detection are more needed in MCOC using mHealth. Further research is required to evaluate midwives&rsquo; competence in MCOC using mHealth

Technology-Based (Mhealth) and Standard/Traditional Maternal Care for Pregnant Woman: A Systematic Literature Review

The world of health has changed significantly since the advent of smartphones. Smartphones have been widely known to facilitate the search for health information in the mobile Health (mHealth) system, which is used to improve the quality of life for patients, such as communication between doctors and patients. This systematic literature review aims to identify the use of mHealth as a digital communication tool for pregnant women by comparing technology-based and standard-based pregnancy care. The method used is a systematic review of articles related to pregnancy care that utilize mHealth for pregnant women. The articles were obtained from the database based on the PICO framework; we searched articles using seven databases. The selection was adjusted to the inclusion criteria, data extraction, study quality evaluation, and results from synthesis. From the disbursement, 543 articles were obtained and 10 results were obtained after the screening. After a critical appraisal was carried out, four articles were obtained. Advantages can be in the form of increasing knowledge of pregnant women who use mHealth due to the availability of information needed by pregnant women in the mHealth application. mHealth also provides information about their babies, so the impact of mHealth is not only for mothers. mHealth is a promising solution in pregnancy care compared to the standard of maternal care