Bold actions needed to improve civil registration data for road traffic deaths

2019 ◽  
Vol 27 (2) ◽  
pp. 168-171
Author(s):  
Kacem Iaych ◽  
Meleckidzedeck Khayesi
Keyword(s):  
Road Traffic ◽  
Civil Registration ◽  
Registration Data

scholarly journals Assessing mortality registration in Kerala: the MARANAM study

Genus ◽  
2022 ◽  
Vol 78 (1) ◽  
Author(s):  
Aashish Gupta ◽  
Sneha Sarah Mani
Keyword(s):  
Vital Statistics ◽  
Middle Income ◽  
Registration System ◽  
Individual Level ◽  
Civil Registration ◽  
Middle Income Countries ◽  
Registration Data ◽  
Life Expectancy At Birth ◽  
Sample Registration System ◽  
Low And Middle Income

AbstractComplete or improving civil registration systems in sub-national areas in low- and middle-income countries provide several opportunities to better understand population health and its determinants. In this article, we provide an assessment of vital statistics in Kerala, India. Kerala is home to more than 33 million people and is a comparatively low-mortality context. We use individual-level vital registration data on more than 2.8 million deaths between 2006 and 2017 from the Kerala MARANAM (Mortality and Registration Assessment and Monitoring) Study. Comparing age-specific mortality rates from the Civil Registration System (CRS) to those from the Sample Registration System (SRS), we do not find evidence that the CRS underestimates mortality. Instead, CRS rates are smoother across ages and less variable across periods. In particular, the CRS records higher death rates than the SRS for ages, where mortality is usually low and for women. Using these data, we provide the first set of annual sex-specific life tables for any state in India. We find that life expectancy at birth was 77.9 years for women in 2017 and 71.4 years for men. Although Kerala is unique in many ways, our findings strengthen the case for more careful attention to mortality records within low- and middle-income countries, and for their better dissemination by government agencies.

scholarly journals IMPLEMENTASI SISTEM INFORMASI MANAJEMEN KELURAHAN (SIMKEL) PADA DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KOTA MAGELANG PROVINSI JAWA TENGAH

2019 ◽  
pp. 61-72
Author(s):  
Sri Hartati ◽  
Fairuz Nurma Hadina
Keyword(s):  
Information System ◽  
Management Information System ◽  
Final Report ◽  
Management Information ◽  
Data Presentation ◽  
Know How ◽  
Analysis Techniques ◽  
Civil Registration ◽  
Registration Data ◽  
The Village

he Village Administration Management Information System (Simkel) is a system aims to provide a database of population and civil registration data that is integrated with SIAK applications that same between village administration, subdistricts and the department of population and civil registration that online and connected to the website. This research was intended to understand and know how to implement Simkel and the obstacles and efforts did by the Department of Population and Civil Registration of Magelang City.The research method used in this final report is descriptive qualitative with an inductive approach. the data collected were analyzed using analysis techniques in the form of data presentation, data reduction and drawing conclusions referring the theory of George Edward III.Based on the analysis conducted by the writer, the implementation of the Village Administration Management Information System (Simkel) has not going well because there are still some obstacles including unstable networks, limited number of employees and application providers that have not worked optimally. Efforts made to overcome obstacles include coordinating, making minimum qualification letters for staff needs and coaching for employees. Keywords: implementation, Simkel

scholarly journals Registration and medical certification of deaths in the Indian States: A comparative analysis of data of CRS and MCCD reports (2010-2019)

2021 ◽  
Author(s):  
Anuj Kumar Pandey ◽  
Diksha Gautam ◽  
Benson Thomas M ◽  
Yogita Kharakwal
Keyword(s):  
Cause Of Death ◽  
State Level ◽  
Current Status ◽  
Quality Of Data ◽  
Indian States ◽  
Registration System ◽  
Civil Registration ◽  
Registration Data ◽  
Medical Certification

AbstractBackgroundThe medical certification of cause of death (MCCD) under Civil Registration System (CRS) has been implemented in the States/UTs in a phased manner to provide data on cause of death but due to incomplete coverage and inadequate quality of civil registration data and medically certified data system, use of this data has been compromised. The completeness of registration of death (CoRD) and completeness of medically certified deaths were assessed from 2010 to 2019 at state level to understand their current status and trend over time and also to identify gaps in data to improve data quality.MethodsCoRD and CoMeRD for each year for each state was calculated from the CRS reports and MCCD reports respectively for the period 2010-2019. Data were analyzed nationally as per geographical region and individual state. Union Territories excluding Delhi and Telangana have not been considered in this analysis.ResultsThe CoRD in India have increased in the CRS from 66.9% in 2010 to 92 percent in 2019, a significant increase of 37.7% over 9 years (P<0.001) whereas India has not witnessed a substantial increase in the CoMeRD in MCCD which has increased from 17.1% in 2010 to only 20.6% in 2019. Among the 29 States, 18 (62%) had CoRD >95 percent in 2019, with 15 states recording 100 percent of CoRD however just 3 states (10.3%) have CoMeRD more than 50% namely Goa (100%), Manipur (67.3%) and Delhi (61.7%).Interpretation & conclusionsDespite the significant progress made in CoRD in India, importance of medical certification cannot be undermined; critical differences between the States within the CRS and MCCD remain a cause of concern. Concentrated efforts to assess the strengths and weaknesses at the State level of the MCCD and CRS processes, quality of data and plausibility of information generated are needed in India.

scholarly journals APLIKASI PRINSIP INKLUSI EKSKLUSI DALAM METODE KOMBINASI SENSUS PENDUDUK 2020

2019 ◽  
Vol 13 (2) ◽  
pp. 9
Author(s):  
Notiragayu Notiragayu ◽  
Amanto Amanto ◽  
Dorrah Aziz
Keyword(s):  
Data Collection ◽  
New Method ◽  
Combination Method ◽  
Population Census ◽  
Combined Method ◽  
Composition Distribution ◽  
Civil Registration ◽  
Registration Data ◽  
Actual Amount ◽  
Directorate General

The 2020 population census (SP 2020) uses a new method called the combination method by utilizing basic population registration data available at the Directorate General of Civil Registration, the community register independently (CAWI) and door to door data collection by officers (PAPI and CAPI). Data on the number, composition, distribution, and characteristics of the population with this new method is prone to overlapping, one data is counted several times which results in the calculation of bias from the actual amount. This paper shows how the principle of exclusion inclusion can be applied to overcome data that is counted several times. Keywords : combined method, overlapping, The Principle of Inclusion-Exclusion

scholarly journals Estimates of pandemic excess mortality in India based on civil registration data

2021 ◽  
Author(s):  
Murad Banaji ◽  
Aashish Gupta
Keyword(s):  
Excess Mortality ◽  
Strong Association ◽  
Mortality Data ◽  
Indian States ◽  
Middle Income ◽  
Civil Registration ◽  
Registration Data ◽  
Seroprevalence Data ◽  
All Cause Mortality ◽  
Excess Deaths

Background: The COVID-19 pandemic has had large impacts on population health. These impacts are less well understood in low-and middle-income countries, where mortality surveillance before the pandemic was patchy. Although limited all-cause mortality data are available in India, interpreting this data remains a challenge. Objective: We use existing data on all-cause mortality from civil registration systems of twelve Indian states comprising around 60% of the national population to understand the scale and timing of excess deaths in India during the COVID-19 pandemic. Methods: We characterize the available data, discuss the various reasons why these data are incomplete, and estimate the extent of coverage in the data. Comparing the pandemic period to 2019, we estimate excess mortality in twelve Indian states, and extrapolate our estimates to the rest of India. We explore sensitivity of the estimates to various assumptions, and present optimistic and pessimistic scenarios along with our central estimates. Results: For the 12 states with available all-cause mortality data, we document an increase of 28% in deaths during April 2020-May 2021 relative to expectations from 2019. This level of increase in mortality, if it applies nationally, would imply 2.8-2.9 million excess deaths. More limited data from June 2021 increases national estimates of excess deaths during April 2020-June 2021 to 3.8 million. With more optimistic or pessimistic assumptions, excess deaths during this period could credibly lie between 2.8 million and 5.2 million. We find that the scale of estimated excess deaths is broadly consistent with expectations based on seroprevalence data and international data on COVID-19 fatality rates. Moreover, there is a strong association between the timing of excess deaths, and of recorded COVID-19 deaths. Contribution: We show that the surveillance of pandemic mortality in India has been extremely poor, with around 8-10 times as many excess deaths as officially recorded COVID-19 deaths. Our findings highlight the utility of all-cause mortality data, as well as the significant challenges in interpreting such data from LMICs. These data reveal that India is among the countries most severely impacted by the pandemic. It is likely that in absolute terms India has seen the highest number of pandemic excess deaths of any country in the world.

scholarly journals National, regional and global mortality due to alcoholic cardiomyopathy in 2015

Heart ◽  
2018 ◽  
Vol 104 (20) ◽  
pp. 1663-1669 ◽  
Author(s):  
Jakob Manthey ◽  
Charlotte Probst ◽  
Margaret Rylett ◽  
Jürgen Rehm
Keyword(s):  
Input Data ◽  
Alcohol Use Disorders ◽  
Mortality Rates ◽  
Vital Statistics ◽  
Alcoholic Cardiomyopathy ◽  
Civil Registration ◽  
Registration Data ◽  
Mortality Burden ◽  
Specific Mortality ◽  
Mortality Estimates

Objectives(1) A comprehensive mortality assessment of alcoholic cardiomyopathy (ACM) and (2) examination of under-reporting using vital statistics data.MethodsA modelling study estimated sex-specific mortality rates for each country, which were subsequently aggregated by region and globally. Input data on ACM mortality were obtained from death registries for n=91 countries. For n=99 countries, mortality estimates were predicted using aggregate alcohol data from WHO publications. Descriptive additional analyses illustrated the scope of under-reporting.ResultsIn 2015, there were an estimated 25 997 (95% CI 17 385 to 49 096) global deaths from ACM. This translates into 6.3% (95% CI 4.2% to 11.9%) of all global deaths from cardiomyopathy being caused by alcohol. There were large regional variations with regard to mortality burden. While the majority of ACM deaths were found in Russia (19 749 deaths, 76.0% of all ACM deaths), for about one-third of countries (n=57) less than one ACM death was found. Under-reporting was identified for nearly every second country with civil registration data. Overall, two out of three global ACM deaths might be misclassified.ConclusionsThe variation of ACM mortality burden is greater than for other alcohol-attributable diseases, and partly may be the result of stigma and lack of detection. Misclassification of ACM fatalities is a systematic phenomenon, which may be caused by low resources, lacking standards and stigma associated with alcohol-use disorders. Clinical management may be improved by including routine alcohol assessments. This could contribute to decrease misclassifications and to provide the best available treatment for affected patients.

Improving hospital death certification in Vietnam: results of a pilot study of injury-related fatalities

2017 ◽  
Vol 24 (5) ◽  
pp. 324-331
Author(s):  
Merrilyn Walton ◽  
Reema Harrison ◽  
Anna Chevalier ◽  
Esmond Esguerra ◽  
Nguyen Duc Chinh ◽  
...  
Keyword(s):  
Cause Of Death ◽  
Traffic Accidents ◽  
Brain Injuries ◽  
Road Traffic ◽  
Data Gathering ◽  
Hospital Death ◽  
Mortality Data ◽  
Registration System ◽  
Civil Registration ◽  
Death Data

BackgroundVietnam has prioritised the establishment of a civil registration system for deaths but as yet is unable to report accurate national statistics for the population of 93.5 million people due to inadequate mortality data. Verbal autopsy data suggest that injury is a third leading cause of death (by International Statistical Classification of Diseases and Related Health Problems 10th Revision chapters) in Vietnam, with road traffic injuries in particular a significant and increasing challenge. The study aims to present a more accurate profile of the number and probable causes of these deaths based on data collected hospitals using a version of the WHO death certificate modified for the Vietnamese context.MethodsDeath data collected from Viet Duc Surgical and Trauma Hospital in Vietnam between 1 March 2013 to 31 March 2015 was analysed to explore the number and probable causes of deaths for deaths resulting from an injury.ResultsA total of 1616 deaths were recorded for Viet Duc Hospital, of which 73% (1181/1616) were associated with an injury. Most (83%; n=871/1049) injury-related deaths for which immediate cause of death was documented were as a result of head/brain injuries. Injury-related deaths were most commonly caused by from traffic accidents (72%, 853/1181). The majority of patients suffering injury-related deaths were discharged home to die (93%, 1097/1181).ConclusionThe study confirms some findings from previous studies about deaths from injuries, while disagreeing with others, highlighting the challenge for Vietnam in collecting these data. Gathering detailed death data provides essential evidence on which to base decisions about allocation of government funding and policy for injury prevention and treatment.

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