Maternal, newborn, and children under-five health surveillance system: a scoping review protocol.

BACKGROUND: Public health surveillance is crucial in monitoring the progress of maternal, newborn, and children under-five health outcomes (MNCH). Consequently, mapping the existing surveillance system from countries with different income and development levels is needed to learn and compare the effectiveness of surveillance. However, the current COVID-19 pandemic has disrupted the health system, including the healthcare services for pregnant women, neonates, infants, and children under five, as well as the recording, reporting, and surveillance system. The need to adapt to the new normal during the pandemic has stimulated innovation while incorporating new COVID-19-related indicators into the existing public health system. Therefore, this review aims to describe the existing implementation and the COVID-19 pandemic's influence on the MNCH surveillance system. METHODS: We will search published literature (from MEDLINE, Embase, and Portal Garuda), manually search from all reference lists of included studies, and conduct a targeted search of relevant gray literature. This review will include studies of surveillance systems or describe COVID-19 surveillance or routine reports involving MNCH (morbidity and mortality). The studies included will be in English or Indonesian language, observational study designs, and published or documented from 2010 to 2023. Two investigators will independently screen the title and abstract, including each full article to determine the eligibility of studies. The data will be assessed using a narrative approach. Data will be reported in simple descriptive tables. DISCUSSION: Our findings are expected to map the existing implementation of MNCH surveillance systems before and during the pandemic, including the influence of the COVID-19 pandemic on MNCH surveillance across countries with different income levels. This may contribute to existing knowledge on the MNCH health surveillance system that could be integrated into the surveillance of emerging diseases, such as COVID-19. SYSTEMATIC REVIEW REGISTRATION: The protocol has been registered on the Open Science Framework ( https://osf.io/bc6t4 ).

A risk scoring model to predict progression of retinopathy of prematurity for Indonesia.

INTRODUCTION: Retinopathy of prematurity (ROP) is a serious eye disease in preterm infants. Generally, the progression of this disease can be detected by screening infants regularly. In case of progression, treatment can be instituted to stop the progression. In Indonesia, however, not all infants are screened because the number of pediatric ophthalmologists trained to screen for ROP and provide treatment is limited. Therefore, other methods are required to identify infants at risk of developing severe ROP. OBJECTIVE: To assess a scoring model's internal and external validity to predict ROP progression in Indonesia. METHOD: To develop a scoring model and determine its internal validity, we used data on 98 preterm infants with ROP who had undergone one or more serial eye examinations between 2009 and 2014. For external validation, we analyzed data on 62 infants diagnosed with ROP irrespective of the stage between 2017 and 2020. Patients stemmed from one neonatal unit and three eye clinics in Jakarta, Indonesia. RESULTS: We identified the duration of oxygen supplementation, gestational age, socio-economic status, place of birth, and oxygen saturation monitor setting as risk factors for developing ROP. We developed two models-one based on the duration of supplemental oxygen and one on the setting of the oxygen saturation monitor. The ROP risk and probabilistic models obtained the same sensitivity and specificity for progression to Type 1 ROP. The agreement, determined with the Kappa statistic, between the ROP risk model's suitability and the probabilistic model was excellent. The external validity of the ROP risk model showed 100% sensitivity, 73% specificity, 76% positive predictive value, 100% negative predictive value, positive LR +3.7, negative LR 0, 47% pre-test probability, and 77% post-test probability. CONCLUSION: The ROP risk scoring model can help to predict which infants with first-stage ROP might show progression to severe ROP and may identify infants who require referral to a pediatric ophthalmologist for treatment.

Cohort study of the APACHE II score and mortality for different types of intensive care unit patients.

OBJECTIVES: Find the discriminant and calibration of APACHE II (Acute Physiology And Chronic Health Evaluation) score to predict mortality for different type of intensive care unit (ICU) patients. METHODS: This is a cohort retrospective study using secondary data of ICU patients admitted to Siloam Hospital of Lippo Village from 2014 to 2018 with minimum age ≥17 years. The analysis uses the receiver operating characteristic curve, student t-test and logistic regression to find significant variables needed to predict mortality. RESULTS: A total of 2181 ICU patients: men (55.52%) and women (44.48%) with an average age of 53.8 years old and length of stay 3.92 days were included in this study. Patients were admitted from medical emergency (30.5%), neurosurgical (52.1%) and surgical (17.4%) departments, with 10% of mortality proportion. Patients admitted from the medical emergency had the highest average APACHE score, 23.14±8.5, compared with patients admitted from neurosurgery 15.3±6.6 and surgical 15.8±6.8. The mortality rate of patients from medical emergency (24.5%) was higher than patients from neurosurgery (3.5%) or surgical (5.3%) departments. Area under curve of APACHE II score showed 0.8536 (95% CI 0.827 to 0.879). The goodness of fit Hosmer-Lemeshow show p=0.000 with all ICU patients' mortality; p=0.641 with medical emergency, p=0.0001 with neurosurgical and p=0.000 with surgical patients. CONCLUSION: APACHE II has a good discriminant for predicting mortality among ICU patients in Siloam Hospital but poor calibration score. However, it demonstrates poor calibration in neurosurgical and surgical patients while demonstrating adequate calibration in medical emergency patients.

Feasibility of Kangaroo Mother Care (KMC) Implementation in Depok City, Indonesia.

Background: The infant and neonatal mortality rate in Depok City is still high, with low birth weight (LBW) and premature births being one of the main causes. In 2018, 14 out of 41 cases of early neonatal death were due to LBW. Studies show that Kangaroo Mother Care (KMC) can prevent or reduce LBW deaths caused by hypothermia, but the implementation is still not evenly distributed. Objective: Describe KMC feasibility as a supporting material for a KMC policy umbrella at Depok City. Method: Qualitative research was conducted with a Rapid Assessment Procedure (RAP) design. A total of 56 informants were divided into 8 discussion groups, 7 in-depth interviews and 2 Focus Group Discussions (FGD). The types of informants were families and inter-sectoral officers. Thematic analysis was used to analyze the data. Results: KMC implementation feasibility in Depok City in terms of facilities and infrastructure was still limited and the quality was insufficient. The number of human resources was still limited, and the competency was still not evenly distributed. LBW family readiness can be maintained if provided with complete and accurate knowledge; therefore, a strong commitment may develop to continue KMC at home. The potential sources of KMC financing are found at health facilities and inter-sectoral; however, to use it, a legal umbrella at the city district level is necessary. Conclusions: The factors of potential financing sources need to be followed up into a priority. This is to overcome the constraints of KMC feasibility implementation.

How to prevent ROP in preterm infants in Indonesia?

BACKGROUND AND AIMS: Retinopathy of prematurity (ROP) is a severe disease in preterm infants. It is seen more frequently in Low-Middle Income Countries (LMIC) like Indonesia compared to High-Income Countries (HIC). Risk factors for ROP development are -extreme- preterm birth, use of oxygen, neonatal infections, respiratory problems, inadequate nutrition, and blood and exchange transfusions. In this paper, we give an overview of steps that can be taken in LMIC to prevent ROP and provide guidelines for screening and treating ROP. METHODS: Based on the literature search and data obtained by us in Indonesia's studies, we propose guidelines for the prevention, screening, and treatment of ROP in preterm infants in LMIC. RESULTS: Prevention of ROP starts before birth with preventing preterm labor, transferring a mother who might deliver <32 weeks to a perinatal center and giving corticosteroids to mothers that might deliver <34 weeks. Newborn resuscitation must be done using room air or, in the case of very preterm infants (<29-32 weeks) by using 30% oxygen. Respiratory problems must be prevented by starting continuous positive airway pressure (CPAP) in all preterm infants <32 weeks and in case of respiratory problems in more mature infants. If needed, the surfactant should be given in a minimally invasive manner, as ROP's lower incidence was found using this technique. The use of oxygen must be strictly regulated with a saturation monitor of 91-95%. Infections must be prevented as much as possible. Both oral and parenteral nutrition should be started in all preterm infants on day one of life with preferably mothers' milk. Blood transfusions can be prevented by reducing the amount of blood needed for laboratory analysis. DISCUSSION: Preterm babies should be born in facilities able to care for them optimally. The use of oxygen must be strictly regulated. ROP screening is mandatory in infants born <34 weeks, and infants who received supplemental oxygen for a prolonged period. In case of progression of ROP, immediate mandatory treatment is required. CONCLUSION: Concerted action is needed to reduce the incidence of ROP in LMIC. "STOP - R1O2P3" is an acronym that can help implement standard practices in all neonatal intensive care units in LMIC to prevent development and progression.

Knowledge and perceptions of kangaroo mother care among health providers: a qualitative study.

BACKGROUND: Indonesia is one of the countries with the highest preterm birth rate. Preterm infants are more likely than term and normal weight infants to experience neonatal mortality and morbidity due to acute respiratory, gastrointestinal, immunologic, central nervous system, hearing, and vision problems. Kangaroo mother care (KMC) is a proven cost-effective intervention to help reduce mortality rates among preterm infants; however, it has not been fully implemented in hospitals. PURPOSE: Assess KMC knowledge and perceptions among health providers. METHODS: This qualitative study was conducted from December 2015 to April 2016 and consisted of 21 in-depth interviews and 3 focus group discussions (FGDs). The 3 categories of health personnel in the study were clinical providers, hospital management representatives, and Indonesian Midwife Association members. RESULTS: Most health providers know about the benefits of KMC including stabilizing temperatures, weight gain, and maternal-infant bonding and reducing human resources and labor costs. They were also aware of which newborns were eligible for KMC treatment. Their knowledge was mostly gained from observation or obtained from pediatricians and personal experience. They believed that a low birth weight infant in an incubator could not be treated with KMC and that it could only be practiced if a special gown was used when holding the baby. This perception could be caused by a lack of formal KMC training, leading to misunderstanding of its aspects. CONCLUSION: In conclusion, KMC knowledge of clinical providers in the 2 hospitals was sufficient, primarily due to their health-related educational background. Some perceptions could be potential barriers to or facilitate the implementation of KMC practice. These perceptions should be considered in future KMC training designs.

Effect of premature rupture of membranes on preterm labor: a case-control study in Cilegon, Indonesia.

OBJECTIVES: The global prevalence of preterm labor is approximately 11.1% of live births. However, preterm labor contributes to 75-80% of neonatal morbidity and mortality. The morbidity experienced by preterm infants may continue to influence their subsequent development, imposing physical, psychological, and economic burdens. Premature rupture of membranes (PROM) is a causal factor that may affect preterm birth. Previous studies have shown an association between PROM and preterm labor, but this association should be investigated in more diverse populations. Therefore, this study was conducted in Cilegon, Indonesia to determine the magnitude of the risk of preterm labor associated with PROM at Cilegon Hospital from July 2014 to December 2015. METHODS: This case-control study used data from patients' medical records. The cases were all mothers who delivered at less than 37 weeks of gestation, while the control population comprised all mothers who delivered at greater or equal to 37 weeks. The data were analyzed using logistic regression. RESULTS: The bivariate analysis yielded an odds ratio (OR) of 2.97 (95% confidence interval [CI], 1.92 to 4.59) before controlling for covariates. The model derived through multiple regression analysis after controlling for education, history of preterm labor, and anemia resulted in an OR of 2.58 (95% CI, 1.68 to 3.98). CONCLUSIONS: Mothers who experience PROM during pregnancy were at a 2.58 times higher risk of preterm labor after controlling for education, history of preterm labor, and anemia.

Decision Tree Clinical Algorithm for Screening of Mild Cognitive Impairment in the Elderly in Primary Health Care: Development, Test of Accuracy, and Time-Effectiveness Analysis.

Mild cognitive impairment (MCI) is predicted to be a common cognitive impairment in primary health care. Early detection and appropriate management of MCI can slow the rate of deterioration in cognitive deficits. The current methods for early detection of MCI have not been satisfactory for some doctors in primary health care. Therefore, an easy, fast, accurate and reliable method for screening of MCI in primary health care is needed. This study intends to develop a decision tree clinical algorithm based on a combination of simple neurological physical examination and brief cognitive assessment for distinguishing elderly with MCI from normal elderly in primary health care. This is a diagnostic study, comparative analysis in elderly with normal cognition and those presenting with MCI. We enrolled 212 elderly people aged 60.04-79.92 years old. Multivariate statistical analysis showed that the existence of subjective memory complaints, history of lack of physical exercise, abnormal verbal semantic fluency, and poor one-leg balance were found to be predictors of MCI diagnosis (p ≤ 0.001; p = 0.036; p ≤ 0.001; p = 0.013). The decision trees clinical algorithm, which is a combination of these variables, has a fairly good accuracy in distinguishing elderly with MCI from normal elderly (accuracy = 89.62%; sensitivity = 71.05%; specificity = 100%; positive predictive value = 100%; negative predictive value = 86.08%; negative likelihood ratio = 0.29; and time effectiveness ratio = 3.03). These results suggest that the decision tree clinical algorithm can be used for screening of MCI in the elderly in primary health care.

The prevalence of oral high-risk HPV infection in Indonesian oral squamous cell carcinoma patients.

OBJECTIVES: The objective of this study was to report the integrated observations of high-risk HPV-related oral squamous carcinoma (OSCC) at our national referral center for cancer, the Dharmais National Cancer Hospital (DNCH), Jakarta, from 2003 to 2013. MATERIALS AND METHODS: Seventy-eight formalin-fixed paraffin-embedded specimens obtained from OSCC cases were collected from 2003 to 2013 DNCH archives and were included in this high-risk HPV (HR-HPV) study. Seventy-nine DNA samples from the normal oral mucosa of healthy individuals were obtained from the Oral Biology Laboratory DNA archives from 2001 to 2005. Glyceraldehyde 3-phosphate dehydrogenase was used as a control to ensure the DNA integrity for the subsequent HPV DNA PCR detection. High-risk HPV16/18 DNA amplification was conducted by nested PCR using two pairs of primers that were designed specifically to identify the region of gene L1 HPV16 and the HPV16/18 region. RESULTS AND CONCLUSIONS: A high prevalence of HPV16/18 was detected in OSCC cases (17.9%). HPV18 occurred more often than HPV16 (86%) among OSCC patients who were HPV positive. This result supports high HPV18 prevalence among Indonesian cervical cancer patients studied in 1995 and 2006. The prevalence of high-risk HPV remains low in the normal Indonesian population (3.8%), but HPV16 is consistently more frequently detected in non-cancer populations.