Language：English   Publisher：Midwifery  

Objective: The maternal mortality ratio (MMR) in Myanmar was the highest in Southeast Asia in 2017. The Three Delay Model is used to evaluate delays that contribute to maternal deaths. This study aims to identify MMR, causes of death, the three delays related to maternal deaths, and the factors associated with Delay 1, which is the time of delay in deciding to seek health care (from the start of the woman's illness to the time when the problem is recognized to be requiring care), in Myanmar. Study design: A cross-sectional study. Participant: This study included 934 cases of maternal deaths reported from all states and regions throughout Myanmar in 2019 that were not caused by accidents and injuries. Materials and methods: Socio-demographic factors, obstetrical factors, information about deaths, and assessment of delays were obtained from the Maternal Death Surveillance and Response System, the database of maternal deaths. Distribution of maternal deaths by states and regions, causes of maternal death, and types of delay that contributed to maternal deaths were descriptively summarized. Logistic regression analysis was performed to identify factors associated with Delay 1 among 567 maternal deaths without any missing data and unknown information on delays. Findings: In 2019, the MMR was 106 (95% confidence interval, 99–112) per 100,000 live births. Of the 934 maternal deaths, 80.5% of deaths had at least one delay, and Delay 1 was the major delay (72.9%). Eclampsia/pre-eclampsia (21.6%), postpartum hemorrhage (18.2%), and abortion-related complications (13.2%) were the major causes of maternal death. The husband's low education, low household income, unplanned pregnancy, and no antenatal care were associated with Delay 1. Key conclusions and implication for practice: The MMR was lower in 2019 than that in 2017 but remained high. Moreover, we demonstrate that most maternal deaths had at least one delay, mostly Delay 1. To prevent maternal deaths caused by Delay 1, the family planning should be promoted to prevent unplanned pregnancies. Educational training for healthcare providers who deliver antenatal care should be strengthened. Furthermore, education on the danger signs of pregnancy and during childbirth should be provided not only to pregnant women and their husbands in communities at health facilities.

DOI： 10.1016/j.midw.2023.103657

Web of Science

Scopus

PubMed

Language：English   Publisher：BMC Public Health  

Background: In developing countries, it is difficult to collect the data of the underlying cause of death (UCOD), especially when a death does not occur in a health facility. This study aimed to develop a short version of verbal autopsy (VA) and identify the UCOD of adults in Lao People’s Democratic Republic (Lao PDR). Methods: A short version of VA for deaths outside health facilities was developed. This study included all deaths of people aged 15 years old or older in Xaiyabouli Province in 2020. Socio-demographic factors, place of death, and UCOD of the deceased were collected from health facilities or from family members using a questionnaire including the short VA form. UCOD was compared between home deaths and hospital deaths, between the age group of 15–59 years old and the age group ≥ 60 years old, and between males and females. Results: Of all the 1,235 deaths included in this study, 1,012 deaths (81.9%) occured at home and 223 deaths (18.1%) at hospitals. The most common UCOD was senility (13.3%), followed by heart/renal failure (10.5%), pneumonia (9.6%) and traffic accident (7.1%). Compared to hospital deaths, home deaths had more people who were females, 75 years old or older, and Lao-Tai. Home deaths had more deaths than hospital deaths due to accident/injury (16.0% vs. 8.1%), tumor (4.7% vs. 1.8%), and senility (16.2% vs. 0%); fewer deaths due to heart/renal disease (15.1% vs. 32.3%), respiratory disease (12.2% vs. 18.8%), liver/gastro-intestine disease (5.3% vs. 9.0%), and infection (3.1% vs. 14.3%). The age group of 15–59 years had more deaths in the categories of accident/injury (28.1% vs. 4.4%), liver/gastro-intestine disease (8.1% vs. 4.4%), infection (7.2% vs. 3.5%), and tumor (6.0% vs. 2.8%). Males had more deaths due to tumor (5.2% vs. 3.0%) and fewer natural deaths (11.2% vs. 15.9%) than females. Conclusions: The major UCOD category was heart/renal disease in the adult generation in Xaiyabouli Province. Cost-effective interventions based on the multisectoral noncommunicable disease prevention plan should be appropriately implemented. Mortality surveillance using the short VA tool should be conducted for all home deaths in Lao PDR.

DOI： 10.1186/s12889-023-15469-2

Web of Science

Scopus

PubMed

Language：English   Publisher：Nagoya Journal of Medical Science  

The system to collect information on mortality statistics in Lao PDR is not well established, accurate and timely death information is therefore not available. This article reports the system and process to make the mortality statistical data of Lao PDR. The country has a paper-based resident registration system, using a death notification document, a death certificate, and a family census book. The death notification document is important as it provides the cause of death, which is issued from a health facility and the village office. In the event of a death occurring at home, the family representative needs to report to the village office verbally to obtain a death notification document. On the other hand, if the death occurred in a medical facility, a death notification document from a health facility is provided. The family representative should bring the death notification document to the district Home Affairs office to register the death and obtain a death certificate. After that, the family representative needs to bring the death certificate to the district Public Security office for an amendment in the family census book. ICD-10 is under development regarding death notification from health facilities under the Ministry of Health. However, it is unclear how death notification from village offices can adopt ICD-10 as the majority of deaths occur outside health facilities. A comprehensive and integrated mortality reporting system is necessary in order to create a holistic health policy and welfare for the country.

DOI： 10.18999/nagjms.85.1.113

Web of Science

Scopus

PubMed

Language：English   Publisher：BMC Cancer  

Background: In many middle-income countries, cancer incidence and mortality are rapidly increasing, but data for developing a strategy of cancer control are rarely collected or analyzed. This study aimed to identify factors associated with positive cancer screening for the uterine cervix and breast in Jakarta Province, Indonesia. Methods: The data of 79,660 women who had visual inspection with acetic acid (VIA) and 83,043 women who had clinical breast examination (CBE) in the Jakarta Women Cancer Screening program in 2019 were included in this study. Socio-demographic factors, reproductive factors, lifestyle factors, family history, and the results of VIA and CBE were used for analyses. Binary and multivariate logistic regression analyses were performed to identify factors associated with VIA positive or CBE positive. Results: The positive rate was 0.9% for both VIA and CBE among the screening participants. Factors associated with VIA positive were age < 30 years old, age at menarche ≤ 11 years old, remarriage, lower educational level, having an occupation, partner’s occupation other than being an employee, alcohol consumption, smoker, inadequate physical activity, cancer family history, and no Pap smear history. Factors associated with CBE positive were age at menarche ≤ 11 years old, widowed, high education, having an occupation, no breastfeeding history, birth control history, alcohol consumption, smoker, inadequate physical activity, cancer family history, and breast tumor history. Conclusion: Factors associated with VIA positive and CBE positive among Indonesian women were revealed. To promote female cancer prevention in Indonesia, the prevalence of screenings should be increased and education about the risk factors should be provided to medical professionals.

DOI： 10.1186/s12885-022-10381-1

Web of Science

Scopus

PubMed

Language：English   Publisher：Nagoya Journal of Medical Science  

In Lao PDR, Ministry of Health introduced District Health Information Software 2 (DHIS2) in 2013. Although DHIS2 includes cause of death, Lao government did not request to report cause of death through DHIS2, resulting in no information on frequency of underlying cause of death even for the deaths at medical facility. This study aimed to collect the information on the underlying cause of death at all medical facilities in Xaiyabouli province, a rural area in Lao PDR. As well as the point estimate of the proportion, a 95% confidence interval (CI) based on a binomial distribution was calculated for each cause of death. According to the local government request, 226 deaths (128 males and 98 females) in 2019 were reported from all medical facilities in the province. Among them, infectious diseases were the most frequent (33.6%, 95% CI 27.5–40.2%); sepsis (16.8%, 95% CI 12.2–22.3%), pneumonia (8.8%, 95% CI 5.5–13.3%), and meningitis (4.9%, 95% CI 2.5–8.5%). Heart diseases were 15.9% (95% CI 11.4–21.4%) including heart failure and myocardial infarction. Injury was 10.2% (95% CI 6.2–14.4%) including brain injury. Neonatal death was 10.6% (95% CI 6.9–15.4%). Among those, preterm death was common (8.8%, 95% CI 5.3–13.3%). Renal failure was 8.0% (95% CI 4.8–12.3%). According to civil registration covering all deaths both at facilities and outside facilities, deaths at facilities were 16.8% of the whole deaths (1,372 deaths) in Xaiyabouli province. Although deaths outside facilities were not included, this is the first report demonstrating cause of death in one province in Lao PDR.

DOI： 10.18999/nagjms.84.2.448

Web of Science

Scopus

PubMed