Midwifery Continuity of Care in Indonesia: Initiation of Mobile Health Development Integrating Midwives' Competency and Service Needs.

Midwives' competence in providing continuity of care using mobile health (mHealth) applications is limited in developing countries. This study identified and explored midwives' 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 ≤ 35 years (58.98%), with a working period > 10 years (56.30%), had diploma degrees (71.12%), and used smartphones on average 1-12 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' competency indicators for early detection are more needed in MCOC using mHealth. Further research is required to evaluate midwives' competence in MCOC using mHealth.

Exploration of Telemidwifery: An Initiation of Application Menu in Indonesia.

The midwifery continuity-of-care model improves the quality and safety of midwifery services and is highly dependent on the quality of communication and information. The service uses a semi-automated chatbot-based digital health media service defined with the new term "telemidwifery". This study aimed to explore the telemidwifery menu content for village midwives and pregnant women in the Purwakarta Regency, West Java, Indonesia. The qualitative research method was used to explore with focus group discussion (FGD). The data collection technique was purposive sampling. The research subjects were 15 village midwives and 6 multiparous pregnant women. The results of this study involved 15 characteristics of menu content: (1) Naming, (2) Digital Communication, (3) Digital Health Services, (4) Telemidwifery Features, (5) Digital Check Features, (6) Media Services, (7) Attractiveness, (8) Display, (9) Ease of Use, (10) Clarity of Instructions, (11) Use of Language, (12) Substances, (13) Benefits, (14) Appropriateness of Values, and (15) Supporting Components. The content characteristics of this telemidwifery menu were assigned to the ISO 9126 Model standards for usability, functionality, and efficiency. The conclusion is that the 15 themes constitute the characteristic menu content required within the initiation of telemidwifery.

Understanding mobile application development and implementation for monitoring Posyandu data in Indonesia: a 3-year hybrid action study to build "a bridge" from the community to the national scale.

BACKGROUND: Limited information is available on how mobile health (mHealth) application (app) technology on mother and child health (MCH) is developed. This research aimed (a) to explore the process of developing mobile apps for MCH community-based services in the Indonesian setting of Pos Pelayanan Terpadu (Posyandu/Integrated Health Service Post), (b) to determine the feasibility of using the app by community health workers (CHWs), and (c) to evaluate the scalability of the mobile app at the national level in Indonesia. METHODS: A hybrid method was used to synergistically combine the action research principles and mixed methods comprising qualitative and quantitative methods. This study was conducted in the Pasawahan District, Purwakarta, Indonesia, from 2017 to 2019. Content analysis, coding, and categorizing were performed using NVivo 12 Pro for transcribed data. The Wilcoxon test (2018 and 2019) was conducted using STATA 15 Special Edition. RESULTS: (1) The use of a CHW notebook for data entry into the Posyandu Information System book delayed the data reporting process, resulting in the need to develop a mobile app. (2) There were significant differences in CHWs' knowledge (p = 0.000) and skills (p = 0.0097) on training (2018) and Posyandu phases (2019). (3) A total of 964 Posyandu have been registered in the Posyandu mobile app from almost all provinces in Indonesia. CONCLUSIONS: The three-year hybrid approach includes the crucial phases that are necessary to develop a mobile app that is more user-friendly and can act as a substitute for CHWs' book. Hence, its implementation is promising for use at the national level.

Low Hemoglobin among Pregnant Women in Midwives Practice of Primary Health Care, Jatinangor, Indonesia: Iron Deficiency Anemia or ß-Thalassemia Trait?

Low hemoglobin (Hb) or anemia is common among pregnant women in developing countries which may cause adverse pregnancy outcomes and maternal deaths. Our study aimed to assess Hb level measured by midwives in primary health care facility at rural area of Jatinangor, Indonesia, and to explore whether the anemia was due to iron deficiency (IDA) or ß-thalassemia trait (ß-TT). Pregnant women (n = 105) had finger prick test for Hb level during a regular antenatal care examination from October to November 2016. Hb level by finger prick test was compared with venous blood, measured by complete blood count (CBC). Indices including MCV and MCH and indices of Shine & Lal, Mentzer, Srivastava, Engels & Frase, Ehsani, and Sirdah were analyzed to differentiate anemia due to IDA and anemia due to suspect ß-TT. HbA2 was measured to confirm ß-TT. Anemic pregnant women were found in 86.7% by finger prick test compared to 21.9% (n = 23) by CBC. The prevalence of ß-TT in our study was 5.7%. Hb measurement among pregnant women in low resource area is highly important; however, finger prick test in this study showed a high frequency of anemia which may lead to iron oversupplementation. A standard CBC is encouraged; MCV and MCH would help midwives to identify ß-TT.