Risk Factors Associated with Perinatal Mortality at Besat Hospital in Sanandaj in 2013-2015: A Case-control Study (original) (raw)
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Indian Journal of Forensic Medicine & Toxicology
Perinatal mortality is the death of a baby born at 28 weeks of gestation until less than 7 days after birth. Perinatal mortality is used to attribute causes of infant death to obstetric events such as stillbirth and infant mortality in the first week of life. The purpose of this study was to describe the causes, periods, and risk factors that influence perinatal mortality. The design of this study is the Sequential Explanatory Mixed Methods , Research Quantitative designed with analytical methods conducted cross-sectiona l. Sampling was done by total sampling. 396 research sample data. The subjects in this study were parents, health workers who were involved and understood about the causes of perinatal death and the person in charge of recording and reporting perinatal deaths in health care facilities 60.6% of the fatalities that occurred were preventable deaths. Perinatal deaths that often occur are still births and early neonatal. At 2-21% perinatal deaths, it is carried out by non-health workers. The risk factors that affect perinatal mortality areare birth spacing (p = 0.04) and comorbidities (p = 0.019).
Maternal Mortality Risk Factors in Dr. Hasan Sadikin General Hospital, Bandung in 2009−2013
International Journal of Integrated Health Sciences, 2017
Objective: To discover the factors affecting the occurrence of maternal deaths. The high maternal mortality rate (MMR) in Indonesia is still a common problem which needs urgent solution. Methods: This is an analytic observational, cross-sectional study using a case control approach Fifty two cases were selected as cases, another 52 were selected as control. The sampling was performed by simple random sampling. The instruments used in this study were the medical records of mothers who gave birth in Dr. Hasan Sadikin General Hospital Bandung from 1 January 2009-31 December 2013. Data analysis was performed using chi-square test. Results: In this study, the results showed that the risk factors contributing to maternal deaths were pregnancy complication (p<0.001), delivery complication (p<0.001), puerpural complication (p=0.022), age (p=0.030), parity (p=0.427), prior medical history (p<0.001), antenatal care (p=0.007), maternal education (p=0.527), and area of residence (p=0.049). Conclusions: The risk factors that contribute to maternal deaths include pregnancy complication, delivery complication, puerpural complication, maternal age, prior medical history, antenatal care, and area of residence.
Maternal Death Risk Factors in Wahidin Sudirohusodo Hospital and Its Affiliates
Indonesian Journal of Obstetrics and Gynecology, 2019
Objectives : To identify maternal death risk factors in Wahidin Sudirohusodo Hospitals and its affiliates between 01 January - 31 December 2017 Methods: This study is an observational case control study that includes all cases of maternal death and considerable numbers of pregnancy without complications that occured in Wahidin Sudirohusodo Hospital and its affiliates between 01 January 2016 and 31 December 2017. Data were then be analysed using chi square and logistic regression test to know the correlations between risk factors and maternal death. Results :There are 28 cases of maternal death in Wahidin Sudirohusodo Hospital and its affiliates which mostly occured at age 20-35 years old (60.7%) and antenatal care in in primary health care (71,4%). Hypertension (39,3%) and hemorrhage (35,7%) were the most frequent complicaitons of maternal death. Age under 20 years old and older than 35 years old (odds ratio 3.882; 95% CI, 1.056-14.276; P<0.05), education level less than 9 years ...
Medical and health science journal, 2024
Background: Maternal Mortality Rates (MMR) and Infant Mortality Rates (IMR) are two of the indicators on the success of health programs in Indonesia. Jember has become the district with the highest rate of maternal and infant deaths throughout 2020-2021. Methods: This research assessed the contributing factors of MMR and IMR in Puskesmas Kencong, Jember Regency. This study uses a qualitative descriptive research design. Data in this study were taken by conducting interviews to fill out questionnaires to mothers who had given birth at least once and the Coordinating Midwife and Head Midwife of PONED (Basic Emergency Neonatal Obstetrics Services) at the Puskesmas Kencong. Then the data from the questionnaires and interviews will be processed and then explained in the narrative. Results:. Based on data from questionnaires filled out by 37 respondents, as well as questions posed to the midwife, Puskesmas Kencong has fulfilled the requirements needed as a PONED Health Center according to PONED Guidelines.
A Study on Perinatal Mortalities and Its Determinants at a Tertiary Hospital in a Metropolitan City
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH, 2020
The aim of the study is to estimate the perinatal mortality rate and its determinants. A retrospective observational study was conducted at a tertiary hospital in Maharashtra, India of the perinatal mortalities born from January 2017 to December 2017 after Ethics Committee approval. Data was acquired from the Delivery register of the Labour room covering the maternal socio-demographic characteristics and the relevant investigations. The causes of perinatal mortality were simplified as per the Tulip Classification (2006). Statistical Analysis: The standard WHO formula for calculating the perinatal mortality rate was applied. Chi-square test followed by P-value were obtained through the Open Epi software, was used for estimating the statistically significant observations amongst the study results. The total births in the study period were 3461 and the perinatal deaths were 132. The Perinatal Mortality Rate computed to 39.65 per 1000 live births. Out of the 132 perinatal deaths, stillbirths were 89 and early neonatal deaths were 43.The perinatal mortalities were found to be highest in the age group of 30-35 years, multigravidae, unbooked and high risk obstetric patients and low birth weight newborns. Lack of antenatal registrations, unoptimised high risk pregnancies entering labour can potentially pose a threat to the delivery outcome.
Understanding Perinatal Mortality Causes in Indramayu Indonesia
Jurnal Kesehatan Masyarakat, 2022
Perinatal mortality is a useful indicator for assessing pregnancy and delivery care. Indramayu was the fourth-highest perinatal mortality in West Java province in 2015. The cause of death can be prevented from several factors including health workers, patients, referrals, and the availability of healthcare facilities. This study aimed to analyze the causes of perinatal mortality in Indramayu. The Study found 375 perinatal deaths but only 296 cases have documents according to the inclusion criteria. Statistical analysis showed there was an association between maternal disease and referral delays with preventable perinatal mortality (p≤0.05). Maternal disease in Indramayu cannot early be detected due to the lack of antenatal care services and behavioral factors on choosing a helper contributed to referral delays. It is necessary to improve the quality of antenatal care services by doing minimum standard of antenatal care for early detection of maternal disease and improving health pro...
The Risk Factors of Neonatal Mortality in Pekanbaru City, Indonesia
Open Access Macedonian Journal of Medical Sciences
BACKGROUND: Neonatal mortality is death during the first 28 days of life, expressed per 1000 live births. In 2020, there was an increase in the number of neonatal mortality from 50 infant to 115 infant in Pekanbaru City, Indonesia. AIM: The study objective was to analyze factors associated with neonatal mortality in the Pekanbaru City, Indonesia. METHODS: The sample was 220, consisting of 110 case and 110 control samples. The total sampling technique was used for case and systematic sampling for control samples. The variables analyzed were mother’s age, mother’s education, parity, birth spacing, gestational age, birth weight, and antenatal care. Data were analyzed by multiple logistic regressions. RESULTS: The results showed that the risk factors for neonatal mortality were antenatal care < 4 times (OR = 8.2; 95% CI = 4.0−17.1), gestational age < 35 weeks (OR = 5.5; 95% CI = 2.2–14.0), mother’s < 20 years or > 35 years (OR = 3.1; 95% CI = 1.3−7.1), and birth spacing <...
Study of Maternal Mortality in a Tertiary Care Hospital, KGH
Background: Maternal mortality is the death of a woman while pregnant or within 42 days of termination of pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from the accidental or incidental causes. Maternal mortality is a key indicator of health services provided to population and reflects the health status of community. Methodology: This is a retrospective study of maternal deaths that occurred in King George Hospital, Visakhapatnam over a period of 1year (January 2019 to December 2019). Data is analysed using case sheets. Various causes of maternal deaths in this teaching hospital are identified. Results: In the study period there were 7568 deliveries and 69 maternal deaths. The direct causes accounted for 45 with hypertensive disorders, haemorrhage, sepsis as leading causes of maternal mortality. The indirect causes accounted for 24 with dengue fever, anaemia, heart disease and jaundice as leading causes of maternal mortality. Conclusion: Health education, regular antenatal checkups, early recognition of high risk cases, timely intervention, early referral, better transportation services in remote and tribal areas are needed to reduce maternal mortality.
International Journal of Reproduction, Contraception, Obstetrics and Gynecology, 2018
Background: This study helps to assess the burden of perinatal mortality at a tertiary referral hospital in Sikkim known for its hilly terrain which makes health services difficult to access. The aims and objectives were to determine the various causes and risk factors leading to perinatal mortality in order to formulate preventive strategiesMethods: All perinatal deaths over a year between August 2016-2017 were included and analysed in our study.Results: A stillbirth rate of 14 per 1000 total births and early neonatal death rate of 8 per 1000 live births was found in 1855 total births. Complications related to pregnancy like pre-eclampsia (16%), eclampsia (8%), ante-partum haemorrhage (15%) and medical disorders (13%) were major contributors to stillbirths while pre-maturity (53.3%), sepsis (20%), birth asphyxia due to meconium aspiration (13.3%) were notable factors leading to early neonatal deaths. In majority of the cases, factors like poor literacy, low socio-economic status, i...
An Analysis of Causes and Avoidable Factors of Perinatal Deaths at Tertiary Care Hospital
Nepalese Medical Journal
Introduction: Perinatal deaths are potentially preventable and reflect the quality of care provided in the prenatal period, during labor, and to a newborn. The purpose of this study was to assess the causes and avoidable factors contributing to perinatal deaths in the year 2018-19 and compare these with the previous two years at Tertiary Care Hospital.Materials and Methods: This study was conducted from a retrospective analysis of all stillbirths and early neonatal deaths in the year July 2018 to July 2019. The Perinatal Mortality Rate, causes, and avoidable factors leading to perinatal deaths were analysed during this year and were compared with that of the previous two years at KIST Medical College and Teaching hospital.Results: PMR was 16.09 per 1000 births in the year 2018-19. Previous two studies at this hospital in the year 2017-18 and 2016-17 showed a Perinatal Mortality Rate of 14.61 and 16.27/1000 births respectively. The commonest primary cause of perinatal deaths was intr...