Search Results (6)

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. Full article

The community’s mother and child health (MCH) and nutrition problems can be overcome through evidence-based health policy. Posyandu is an implementation of community empowerment in health promotion strategies. The iPosyandu application (app) is one of the health informatics tools, in which data quality should be considered before any Posyandu health interventions are made. This study aims to describe and assess differences in data quality based on the dimensions (completeness, accuracy, and consistency) of the secondary data collected from the app in Purwakarta Regency in 2019–2021. Obstacles and suggestions for improving its implementation were explored. This research applies a mixed-method explanatory approach. Data completeness was identified as the number of reported visits of children under five per year. Data accuracy was analyzed using WHO Z-score anthropometry and implausible Z-score values. Data consistency was measured using Cronbach’s alpha coefficient, followed by qualitative research with focus group discussions, in-depth interviews, and field observation notes. The quantitative study results found that some of the data were of good quality. The qualitative research identified the obstacles experienced using the iPosyandu app, one of them being that there were no regulations governing the use of iPosyandu to bridge the needs of the government, and provided suggestions from the field to improve its implementation. Full article

Background: Stunting is primarily a public health concern in Low- and Middle-Income Countries (LMIC). The involvement of Integrated Health Service Post (Indonesian: Posyandu) cadres is among the strategies to combat stunting in Indonesia. Objective: This study aimed to determine the effect of a short course on cadres’ knowledge. Method: A single group pre-test post-test design was conducted in Yogyakarta, Indonesia, from March to May 2022. Thirty cadres were selected based on the following criteria: willingness to participate, the number of stunted children in their Posyandu, able to read and write, and full attendance at the short course. The knowledge scores were measured by a questionnaire using true and false answers after a short course (post-test 1) and 4 weeks later (post-test 2). We apply STATA 16 to calculate the Mean Difference (MD) using a t-test and a Generalized Estimated Equation (GEE). Furthermore, the adequacy of the short course was evaluated with in-depth interviews. Result: GEE analysis showed that after controlling for age, education, occupation, and years of experience, the short course improved cadres’ knowledge significantly on post-tests 1 and 2, i.e., knowledge regarding Children Growth Monitoring (CGM) (Beta = 6.07, 95%CI: 5.10–7.03 and Beta = 8.57, 95%CI: 7.60–9.53, respectively), Children Development Monitoring (CDM) (Beta = 6.70, 95%CI: 5.75–7.65 and Beta = 9.27, 95%CI: 8.31–10.22, respectively), and Infant Young Children Feeding (IYCF) (Beta = 5.83, 95%CI: 4.44–7.23 and Beta = 11.7, 95%CI: 10.31–13.09, respectively). Furthermore, the short course increased their self-efficacy, confidence, and ability to assist stunted children through home visits. Conclusion: The short courses consistently and significantly boosted cadres’ knowledge of CGM, CDM, and IYCF, and appropriately facilitated cadres in visits to the homes of stunted children’s home. Full article

Posyandu is an Indonesian mother-child health, community-based healthcare. The provision of the Posyandu data quality map is crucial for analyzing results but is limited. This research aimed to (a) demonstrate data quality analysis on its completeness, accuracy, and consistency and (b) map the data quality in Indonesia for evaluation and improvement. An observational study was conducted using the Posyandu application. We observed data in Indonesia from 2019 to 2021. Data completeness was identified using children’s visits/year. Data accuracy was analyzed using WHO anthropometry z-score and implausible z-score values analyzing the outliers. Cronbach’s α of variables was used to know data consistency. STATA 15.1 SE and QGIS 3.10 was used to analyze and map the quality. Data completeness and accuracy in three years show a good start for the pilot project area, continued with declines in pandemic time, while some other areas demonstrated a small start, then slightly increased. The overall consistency decreased through the study period. A good report on data completeness can occur initially in a pilot project area, followed by others. Data accuracy and consistency can decrease during the pandemic. The app can be promising when synchronized with the government health information system. Full article

We aim to clarify the behaviors toward noncommunicable diseases (NCDs) prevention focusing on lifestyle-related diseases and physical health status and examine their relationship among community-dwelling women in Indonesia. This cross-sectional study included women aged 45 years and older. Data were collected through an interview using a structured questionnaire; the following parameters were also measured: height, weight, body mass index (BMI), blood pressure (BP), handgrip strength, and 10 m gait speed. This study found that the majority of women adopted one or more healthy behaviors to prevent NCDs, while few women practiced comprehensive behaviors. Age, satisfaction with house income, living alone, social support, social participation, and household decision making were the determinant factors for behaviors toward NCDs prevention. A high prevalence of underweight (26.4%), overweight (31.9%), obesity (5.6%), high systolic blood pressure (SBP) (62.5%), and low muscle strength (54.2%) were frequently observed. Eating well-balanced meals, avoiding fatty foods, and undergoing blood cholesterol testing had significant correlations with physical health status. It is concluded that the activities at Posyandu Lansia (health village posts for older adults) are necessary to help women with unhealthy eating behaviors and lower physical activity and unawareness of health checkups to maintain focus and to develop a more practical approach to NCDs prevention. Full article

Little is known about the childhood obesity prevention and treatment practices of Maternal and Child Health services (Posyandu) in Indonesia or in other countries. The present study aims to assess the association of the availability of Posyandu with overweight and obesity in children of different household wealth levels. This was a secondary analysis of data collected in the 2013 Riskesdas (or Basic Health Research) survey, a cross-sectional study, representative population-based data. Height and weight, the availability of Posyandu, and basic characteristics of the study population were collected from parents with children aged 0 to 5 years (n = 63,237). Non-availability of Posyandu significantly raised the odds of being obese (OR = 1.13, 95% CI: 1.06–1.21) and did not show a significant relationship in the odds for overweight (OR = 0.99, 95% CI: 0.93–1.07). This relationship persisted after a full adjustment (OR = 1.16, 95% CI: 1.07–1.25 and OR = 1.04, 95% CI: 0.96–1.13, respectively). There was effect modification by household wealth, which was stronger for obese children. The availability of Posyandu has a protective association with childhood obesity in Indonesia. Posyandu services are well placed to play an important role in obesity prevention and treatment in early life. Full article