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  1. Lau L
    Med J Malaysia, 1976 Mar;30(3):179-84.
    PMID: 958052
    Matched MeSH terms: Death Certificates*
  2. Shamsuddin K, Lieberman E
    Med J Malaysia, 1998 Dec;53(4):343-53.
    PMID: 10971976
    The Malaysian Family Life Survey--2 (MFLS-2) was a population-based survey conducted in Peninsular Malaysia in 1988-89. Through detailed birth histories, it attempted to collect information on all pregnancies and their outcomes from ever-married women, as well as socioeconomic and health services-utilization data that might have affected mortality. The survey did not, however, collect information on the causes of infant death. The two objectives of this study were to assess the feasibility of linking all reported deaths among live births of women interviewed in the MFLS-2 to the birth and death certificates kept by the National Registration Department, and to determine the causes of death from the successfully matched death certificates. This information could be used in the development of specific health programs to decrease infant and child mortality. In this study, the success rates for linking survey data to birth and death certificates were 34.5% and 31.8% respectively. Methodological problems faced during the study are discussed, as are the strengths and limitations of record linking as a means of increasing the utility of birth histories for studying the causes of death. Ways to improve linkage rates of survey data with the national birth and death registration are also suggested.
    Study name: Malaysian Family Life Survey (MFLS-2)
    Matched MeSH terms: Death Certificates*
  3. Lin CY, Wang LY, Lu TH
    BMC Public Health, 2019 Oct 28;19(1):1391.
    PMID: 31660919 DOI: 10.1186/s12889-019-7749-2
    BACKGROUND: This study assessed international variations in changes in drowning mortality rates and the quality of reporting specific information in death certificates over the past decade.

    METHODS: Drowning mortality data of 61 countries were extracted from the World Health Organization Mortality Database. We calculated the percentage change (PC) in age-standardized drowning mortality rates and percentage of drowning deaths reported with unspecified codes between 2004 and 2005 and 2014-2015.

    RESULTS: Of the 61 countries studied, 50 exhibited a reduction in drowning mortality rates from 2004 to 2005 to 2014-2015. Additionally, five countries-Lithuania, Moldova, Kyrgyzstan, Romania, and El Salvador-with a high mortality rate in 2004-2005 (> 40 deaths per 100,000) showed improvement (PC  40%) exhibited a marked reduction (PC death certificate were observed during the study period.

    Matched MeSH terms: Death Certificates*
  4. Hooi LN, Goh KY
    Med J Malaysia, 1995 Dec;50(4):306-13.
    PMID: 8668048
    An audit was done on 54 tuberculosis patients presenting to Penang Hospital who died during 1993. Active tuberculosis was the cause of death in 29 (53.7%) and 48.3% were aged under 50 years. Tuberculosis was a contributory cause of death in 8 patients and in 17 patients tuberculosis was irrelevant to the cause of death. The diagnosis of tuberculosis was made after death in 17 patients (31.5%). Late diagnosis was the most important factor resulting in death. Only 41.4% of the deaths from active tuberculosis were correctly certified in government hospitals. Medically inspected and certified deaths from tuberculosis is an unreliable indicator of tuberculosis mortality because of inaccuracies in death certification, tuberculosis deaths occurring outside hospital and tuberculosis patients undiagnosed until after death.
    Matched MeSH terms: Death Certificates
  5. Anthony, Leela, Ambu, Stephen, Lokman Hakim, Lee, Nagarajah
    MyJurnal
    Background: Database on hospital records like discharge data, birth and death certificates are widely used for epidemiological and research studies. However there are a very few validation studies on these data. The aim of this study was to validate and assess the accuracy of the ICD 10 database on congenital anomalies in the state of Penang. This study was carried out for three years, from 2002 to 2004.

    Methods: The list of cases coded under the general coding “Q” was extracted and approximately 30% of cases were randomly selected from the list. Medical records for the selected cases were checked and discrepancies for the diagnoses between the medical records and the ICD 10 data base were recorded for three years. Verification was done for basic demographic variables and the coding of the diseases. Discrepancies, sensitivity and specificity were calculated.

    Results: The ICD 10 database for congenital anomalies are classified into two types: Type 1 and Type 2. Discrepancies on demographic information were found among the age of patients (babies with congenital anomalies). In Type 1, there was a discrepancy of about 0.02 % to 0.05% probability that a congenital anomaly case can be recorded as non congenital anomaly in the ICD 10. In Type 2 there was a discrepancy that a non-congenital anomaly was classified as congenital anomaly and this ranged from 26.7% to 50.0%. The sensitivity ranged from 96.85% to 97.98%, thus it can be concluded the ICD 10 database is highly sensitive while the specificity ranged from 50.00% to 78.57 %. In other words the ICD 10 is not accurate when classifying the non- congenital anomaly cases. A fair percentage of non-congenital anomaly cases were classified as CA in the ICD 10 database.

    Conclusion: Even though hospital databases are used as a baseline data for a number of research and epidemiological studies it cannot be used at face value. Validation of these data is necessary before any conclusions can be drawn or intervention measures are undertaken.
    Matched MeSH terms: Death Certificates
  6. Bujang MA, Kuan PX, Sapri FE, Liu WJ, Musa R
    Indian J Nephrol, 2019 8 20;29(4):235-241.
    PMID: 31423056 DOI: 10.4103/ijn.IJN_152_18
    Introduction: Clinical parameters especially co-morbidities among end stage renal disease (ESRD) patients are associated with mortality. This study aims to determine the risk factors that are associated with mortality within three years among prevalent patients with ESRD.

    Methods: This is a cohort study where prevalent ESRD patients' details were recorded between May 2012 and October 2012. Their records were matched with national death record at the end of year 2015 to identify the deceased patients within three years. Four models were formulated with two models were based on logistic regression models but with different number of predictors and two models were developed based on risk scoring technique. The preferred models were validated by using sensitivity and specificity analysis.

    Results: A total of 1332 patients were included in the study. Majority succumbed due to cardiovascular disease (48.3%) and sepsis (41.3%). The identified risk factors were mode of dialysis (P < 0.001), diabetes mellitus (P < 0.001), chronic heart disease (P < 0.001) and leg amputation (P = 0.016). The accuracy of four models was almost similar with AUC between 0.680 and 0.711. The predictive models from logistic regression model and risk scoring model were selected as the preferred models based on both accuracy and simplicity. Besides the mode of dialysis, diabetes mellitus and its complications are the important predictors for early mortality among prevalent ESRD patients.

    Conclusions: The models either based on logistic regression or risk scoring model can be used to screen high risk prevalent ESRD patients.

    Matched MeSH terms: Death Certificates
  7. Chung NE, Castilani A, Tierra WE, Beh P, Mahmood MS
    Forensic Sci Int, 2017 Sep;278:367-373.
    PMID: 28806635 DOI: 10.1016/j.forsciint.2017.07.030
    On December 1st, 2014, the sinking of Oryong 501 occurred in the Bering Sea off the east coast of Russia. A total of 60 crew members, including 35 Indonesians, 13 Filipinos, 11 South Koreans and 1 Russian inspector were on board out of which only seven survived. Through an international rescue operation, the dead bodies of 27 were found and the remaining 26 crew are still missing. After transferring the dead bodies to the Busan Harbor in South Korea, the operation to identify the deceased began involving DVI teams from three countries: Korea, Indonesia and the Philippines. When a deep sea fishing boat sinks, it is very difficult to obtain antemortem data of the crew who had been on board for a long time. This is especially so if the crews are multinational. Further, the accuracy of the antemortem data provided by the families may be questionable, and the provided data is often not standardized. Despite the fact that the antemortem data were received in different formats, the identification process for the bodies of the 27 crew from the Oryong sinking was quickly completed through the cooperation among the three DVI teams. This case is an excellent example of how efficiently a DVI operation can be conducted in the Asia Pacific region. Issues raised during this operation should enable even better preparation for similar events in the future.
    Matched MeSH terms: Death Certificates
  8. Gray L, Harding S, Reid A
    Eur J Public Health, 2007 Dec;17(6):550-4.
    PMID: 17353202
    BACKGROUND: Very little is known about how acculturation affects health in different societal settings. Using duration of residence, this study investigates acculturation and circulatory disease mortality among migrants in Australia.

    METHODS: Data from death records, 1998-2002, and from 2001 Census data were extracted for seven migrant groups [New Zealand; United Kingdom (UK)/Ireland; Germany; Greece; Italy; China/Singapore/Malaysia/Vietnam (East Asia); and India/Sri Lanka (South Asia)] aged 45-64 years. Poisson regression models were fitted to estimate the duration of residence effect (categorized in 5-year bands and also as having arrived 2-16, 17-31 and 32 years ago or more), adjusted for sex, 5-year age group and year of death, then additionally for occupational class and marital status (SES) on relative risks (RR) of CVD mortality.

    RESULTS: Compared with the Australia-born population, CVD mortality was generally lower in each migrant group. Decreasing mortality with increasing duration of residence was observed for migrants from New Zealand (RR 0.95, 95% Confidence Interval 0.92-0.98, P<0.01, per 5-year increase), Greece (0.90, 0.86-0.94, P<0.01), Italy (0.94, 0.91-0.97, P<0.01) and South Asia (0.95, 0.91-0.99, P<0.01), mainly in older age groups. Trends remained after SES adjustment and also when broader categories of duration of residence were used. CVD mortality among migrants from the UK/Ireland appeared to converge towards those of the Australian-born.

    CONCLUSIONS: These results show divergence in CVD mortality compared with the Australian rate for New Zealanders, Greeks, Italians and South Asians. Sustained cardio-protective behavioural practices in the Australian setting is a potential explanation.

    Matched MeSH terms: Death Certificates
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