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 India’s Civil Registration System: a potentially viable data source for reliable subnational mortality measurement

2020 ◽  
Author(s):  
Chalapati Rao ◽  
Mamta Kansal
Keyword(s):  
Cause Of Death ◽  
Civil Registration System ◽  
Registration System ◽  
Civil Registration ◽  
Medical Certification ◽  
Sample Registration System ◽  
Reliable Source ◽  
Data Source ◽  
Near Future

ABSTRACTIntroductionThe Indian national Civil Registration System (CRS) is the optimal data source for mortality measurement, but is yet under development. As an alternative, data from the Sample Registration System (SRS) which covers less than 1% of the national population is used. This article presents a comparative analysis of mortality measures from the SRS and CRS in 2017, and explores the potential of the CRS to meet these subnational data needs.MethodsData on population and deaths by age and sex for 2017 from each source were used to compute national and state level life tables. Sex specific ratios of death probabilities in five age categories (0-4, 5-14, 15-29, 30-69, 70 -84, 85+) were used to evaluate CRS data completeness, using SRS probabilities as reference values. The quality of medically certified causes of death was assessed through hospital reporting coverage and proportions of deaths registered with ill-defined causes from each state.ResultsThe CRS operates through an extensive infrastructure with high reporting coverage, but child deaths are uniformly under reported, as well as female deaths in some states. However, at ages 30 to 69 years, CRS death probabilities are higher than the SRS values in 15 states in males and 10 states in females. SRS death probabilities are of limited precision for measuring mortality trends and differentials. Medical certification of cause of death is affected by low hospital reporting coverage.ConclusionsThe Indian CRS is more reliable than the SRS for measuring adult mortality in several states. Targeted initiatives to improve the recording of child and female deaths, to strengthen the quality of medical certification of cause of death, and to promote use of verbal autopsy methods are necessary to establish the CRS as a reliable source of sub national mortality statistics in the near future.KEY MESSAGESThe Sample Registration System (SRS) is currently the main source of mortality statistics in India, since the Civil Registration System (CRS) is yet under developmentLimitations in sample size as well as problems with quality of causes of death result in considerable uncertainty in population level mortality estimates from the SRSThis research evaluated the quality of the sex and age specific mortality risks from the CRS, using the SRS values in each state as reference valuesThe CRS has high levels of reporting coverage for death registration, and also measures higher levels of mortality at ages 30 to 69 years in several states, with high precisionInterventions are required to improve child death registration, strengthen medical certification of cause of death in hospitals, and introduce verbal autopsy for home deathsThese interventions will establish the CRS as a routine and reliable source for national and subnational mortality measurement in India in the near future

scholarly journals Penilaian Kualitas Data Penyebab Kematian di Indonesia Tahun 2014

2020 ◽  
Vol 48 (4) ◽  
pp. 235-242
Author(s):  
Endang Indriasih ◽  
Tita Rosita ◽  
Anni Yulianti ◽  
Rozana Ika Agustiya
Keyword(s):  
Cause Of Death ◽  
Public Health Policy ◽  
Causes Of Death ◽  
Circulatory System ◽  
Quality Of Data ◽  
Registration System ◽  
Low Level ◽  
Sample Registration System ◽  
Garbage Code

Sample Registration System (SRS) is a demographic survey for providing data on causes of death (COD) in Indonesia. The quality of COD will be taken into consideration for health policies development. This paper aims to assess the quality of data on the causes of death in Indonesia through the proportion and level of garbage codes on the impact when used in policy making. The 2014 National COD data set were assessed by applying the Analysis of National Causes of Death for Action (ANACONDA) software tool version 3.7.0. Distributions and levels of unusable and insufficiently specified “garbage” codes were analyzed. The Result shows, Diseases of the circulatory system (62.6%) contributed the most to garbage cause of death. The proportion of unusable COD was 31% of total data. 80% of garbage code were unspecified deaths group. Most of the garbage codes has low-level on severity of impact level for policy, while 11% of total codes has medium, high dan very high level of impact. In Conclusion, the 2014 SRS data was not at high quality, but the implications of garbage code in making inappropriate policies are mostly at low level. The use of low-level codes has less important impact on public health policy. The 2014 SRS data could be considered as a scientific basis evidence for public health policy. Quality improvement still needs to be done by conducting training and refreshing to determine the cause of death for doctors and data collection techniques for data collectors Keywords : Cause of Death, quality of data, Sample Registration System, ANACONDA Abstrak Sample Registration System (SRS) merupakan survei demografi untuk menyediakan data penyebab kematian (COD) di Indonesia. Kualitas COD akan menjadi bahan pertimbangan dalam membuat kebijakan kesehatan. Tulisan ini bertujuan untuk menilai kualitas data penyebab kematian di Indonesia melalui besar proporsi dan level kode sampah terhadap dampak yang ditimbulkan ketika digunakan dalam membuat kebijakan. Data penyebab kematian nasional tahun 2014 dinilai dengan menggunakan perangkat lunak Analisis Penyebab Kematian Nasional untuk Tindakan (ANACONDA) versi 3.7.0. Distribusi dan level kode "sampah" yang tidak dapat digunakan dianalisis dengan menggunakan ANACONDA. Hasil analisis menunjukkan, Diseases of the circulatory system (62.6%) berkontribusi terbanyak dalam hal kode sampah. Proporsi kode sampah yang tidak dapat digunakan adalah 31% dari total kode. Kode sampah yang paling umum digunakan adalah kelompok penyebab kematian tidak spesifik dan kelompok penyebab kematian antara. Berdasarkan tingkat keparahan dalam membuat kebijakan, sebagian besar kode sampah termasuk kategori level rendah, hanya 11% dari total kode memiliki tingkat dampak sedang, tinggi dan sangat tinggi. Kesimpulannya, kualitas data SRS 2014 masih kurang baik, namun implikasi yang ditimbulkan kode sampah dalam membuat kebijakan yang salah sebagian besar berada pada level rendah. Penggunaan kode-kode level rendah memiliki dampak yang kurang penting bagi kebijakan kesehatan masyarakat. Data penyebab kematian SRS 2014 layak dipertimbangkan untuk digunakan sebagai dasar kebijakan Kesehatan masyarakat. Pelatihan penentuan penyebab kematian untuk dokter dan juga petugas AV perlu dilakukan agar kualitas data COD selanjutnya dapat lebih baik Kata kunci: penyebab kematian, kualitas data, Sample Registration System, ANACONDA

scholarly journals Addressing the rising cause of death due to diseases of the circulatory system geared towards achieving SDG 3: evidence from data on medical certification of cause of deaths in Rajasthan State, India: 1999-2015

2017 ◽  
Vol 5 (1) ◽  
pp. 182 ◽  
Author(s):  
Manoj Kumar Raut ◽  
Ananta Basudev Sahu
Keyword(s):  
Cause Of Death ◽  
Estimation Method ◽  
Well Being ◽  
Chronic Respiratory Disease ◽  
Civil Registration System ◽  
Registration System ◽  
Civil Registration ◽  
Medical Certification ◽  
Cause Of Deaths ◽  
Circulatory Diseases

Background: Medical certification of cause of death (MCCD) scheme is imperative tool to obtain scientific and reliable information in terms causes of mortality. The office of the registrar general of India (ORGI) initiated the scheme on MCCD under civil registration system (CRS), during the third five year plan. Methods: This paper analyzes the data for the last 16 years for MCCD in Rajasthan from 1999 to 2015. The findings are based on more than half a million deaths, for which cause of death data is reported. The per cent of cause of deaths have been computed and the curve estimation method has been used to project the cause of death due to circulatory diseases. Results: The data reveals that the percentage of medically certified deaths hovers around 10 to 13 percent during 1999 to 2015 of the total deaths registered under the civil registration system, which is about 5 million deaths. The highest percentage of deaths that has been medically certified is due to circulatory diseases as seen for the combined period of sixteen years (1999-2015) (21 percent) followed by deaths due to certain infectious and parasitic diseases (16 percent). This has increased from 13.8 per cent in 1999 to 20.2 per cent in 2015. This proportion has been projected upto 2030, the target year of achievement of Sustainable Development Goals (SDGs). Conclusions: Addressing this cause, could help in the achievement of indicator of 3.4.1, mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease under the target of reducing by one third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-being by 2030 subsumed under the SDG 3 of ensuring healthy lives and promote well-being for all at all ages. 

Evaluation of civil registration and vital statistics system in the Maldives: Focus on mortality statistics

2020 ◽  
Vol 36 (4) ◽  
pp. 933-941
Author(s):  
Sofoora Kawsar Usman ◽  
Sheena Moosa
Keyword(s):  
Cause Of Death ◽  
Causes Of Death ◽  
Time Lag ◽  
International Classification Of Diseases ◽  
Vital Statistics ◽  
Mortality Data ◽  
Death Registration ◽  
Quality Of Data ◽  
Civil Registration

An efficient Civil Registration and Vital Statistics (CRVS) system is a development imperative. Data on death registration and causes of death are important for measuring health outcomes. This paper evaluates the completeness and quality of data on death registration and causes of death (CoD) based on analysis of the registration records on death and causes of death for the period 2009–2018. Using established methods and approaches, we observed that CRVS system performed well on death registration completeness, quality of age and sex reporting. However, the quality of cause of death data was poor with 50% of the International Classification of Diseases (ICD) codes classified as “major garbage codes” and significant time lag was observed in the transmission and production of vital statistics. The CRVS system in Maldives is complete with all deaths occurring within its territory registered and causes of death recorded. The two areas that require attention are the time taken for publication of vital statistics and quality of cause of death reporting. Appropriate re-engineering of the existing business process can build real-time mortality data, and regular quality assessment of death certificates with feedback to health facilities can bring sustained improvements in quality of vital statistics.

scholarly journals The civil registration system is a potentially viable data source for reliable subnational mortality measurement in India

2020 ◽  
Vol 5 (8) ◽  
pp. e002586 ◽  
Author(s):  
Chalapati Rao ◽  
Mamta Gupta
Keyword(s):  
Causes Of Death ◽  
National Level ◽  
State Level ◽  
Adult Mortality ◽  
Civil Registration System ◽  
Mortality Trends ◽  
Registration System ◽  
Civil Registration ◽  
Data Source

IntroductionThe Indian national Civil Registration System (CRS) is the optimal data source for subnational mortality measurement, but is yet under development. As an alternative, data from the Sample Registration System (SRS), which covers less than 1% of the national population, is used. This article presents a comparison of mortality measures from the SRS and CRS in 2017, and explores the potential of the CRS to meet these subnational data needs.MethodsData on population and deaths by age and sex for 2017 from each source were used to compute national-level and state-level life tables. Sex-specific ratios of death probabilities in five age categories (0–4, 5–14, 15–29, 30–69, 70–84) were used to evaluate CRS data completeness using SRS probabilities as reference values. The quality of medically certified causes of death was assessed through hospital reporting coverage and proportions of deaths registered with ill-defined causes from each state.ResultsThe CRS operates through an extensive infrastructure with high reporting coverage, but child deaths are uniformly under-reported, as are female deaths in many states. However, at ages 30–69 years, CRS death probabilities are higher than the SRS values in 15 states for males and 10 states for females. SRS death probabilities are of limited precision for measuring mortality trends and differentials. Data on medically certified causes of death are of limited use due to low hospital reporting coverage.ConclusionsThe Indian CRS is more reliable than the SRS for measuring adult mortality in several states. Targeted initiatives to improve the recording of child and female deaths, to strengthen the reporting and quality of medically certified causes of death, and to promote use of verbal autopsy methods can establish the CRS as a reliable source of subnational mortality statistics in the near future.

scholarly journals Application of verbal autopsy in routine civil registration in Lusaka District of Zambia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
C. Chabila Mapoma ◽  
Brian Munkombwe ◽  
Chomba Mwango ◽  
Bupe Bwalya Bwalya ◽  
Audrey Kalindi ◽  
...  
Keyword(s):  
Middle Ages ◽  
Cause Of Death ◽  
Verbal Autopsy ◽  
Opportunistic Infections ◽  
Civil Registration System ◽  
Registration System ◽  
Civil Registration ◽  
Major Teaching Hospital ◽  
External Causes ◽  
Causes Of Deaths

Abstract Background Ascertaining the causes for deaths occurring outside health facilities is a significant problem in many developing countries where civil registration systems are not well developed or non-functional. Standardized and rigorous verbal autopsy methods is a potential solution to determine the cause of death. We conducted a demonstration project in Lusaka District of Zambia where verbal autopsy (VA) method was implemented in routine civil registration system. Methods About 3400 VA interviews were conducted for bodies “brought-in-dead” at Lusaka’s two major teaching hospital mortuaries using a SmartVA questionnaire between October 2017 and September 2018. Probable underlying causes of deaths using VA and cause-specific mortality fractions were determined.. Demographic characteristics were analyzed for each VA-ascertained cause of death. Results Opportunistic infections (OIs) associated with HIV/AIDS such as pneumonia and tuberculosis, and malaria were among leading causes of deaths among bodies “brought-in-dead”. Over 21.6 and 26.9% of deaths were attributable to external causes and non-communicable diseases (NCDs), respectively. The VA-ascertained causes of death varied by age-group and sex. External causes were more prevalent among males in middle ages (put an age range like 30–54 years old) and NCDs highly prevalent among those aged 55 years and older. Conclusions VA application in civil registration system can provide the much-needed cause of death information for non-facility deaths in countries with under-developed or non-functional civil registration systems.

scholarly journals Analisis Atas Efektivitas Pengelolaan Data Dan Informasi Kependudukan Pada Pemda Kabupaten/Kota Dan Instansi Terkait Lainnya

2019 ◽  
Vol 5 (2) ◽  
pp. 1499-1528
Author(s):  
Erwin Antoni ◽  
Silviana .
Keyword(s):  
Business Process ◽  
Population Data ◽  
City Government ◽  
General Description ◽  
Quality Of Data ◽  
City Governments ◽  
Civil Registration ◽  
Development Policies ◽  
Policies And Programs

Population administration is a series of activities in structuring and controlling population documents and data through population registration, civil registration, management of population administration information and utilization of its results for public services and development of other sectors. In the 2015-2019 RPJMN it is mentioned that Population and Family Planning (KKB) Development is directed at one of them: Improving the quality of population data and information as the basis for developing development policies and programs and implementing basic population services. One of the authorities of the Regency / City Government is to carry out community service activities in the area of ??Population Administration. The local government plays an important role in improving the quality of data and information on the population. This paper discusses the administration of population administration in regency/city governments and other relevant agencies. The discussion covers the background of topic selection, general description, regulation, business process on the object of research and risk analysis of the business process. Next, the objectives and types of research are discussed, the period of time, the number and competence of researchers, the methodology and procedures of the research to be conducted. The selection of key areas uses the RIS analysis method (Risk Management, Research Impacts, Significance). The results of this study are expected to provide appropriate and actionable recommendations in order to improve the quality of population data and information.

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 Incidence Trend of Breast Cancer and its Risk Factors in Women of Eastern Mediterranean Region Countries between 1998 and 2018: A Systematic Review and Meta-Analysis

2019 ◽  
Author(s):  
Razieh Zahedi ◽  
Hossein Molavi Vardanjani ◽  
Mohammad Reza Baneshi ◽  
Ali Akbar Haghdoost ◽  
Reza Malekpour Afshar ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Meta Analysis ◽  
Random Effect ◽  
Eastern Mediterranean Region ◽  
Quality Data ◽  
Current Status ◽  
Quality Of Data ◽  
Incidence Trend

Abstract Abstract Background This study was conducted to provide evidence on the current status of breast cancer (BC) and its incidence trend in EMR during 1998-2018. Also, this study aimed to investigate the association between the incidence of BC and HDI and some factors related to this index, including total fertility rate (TFR), and obesity, using a meta-analysis. Method Data on incidence of BC were collected from various sources, including PubMed, Embase, Web of Science, and WHO, from 1998 to 2018 using systematic review and meta-analysis. Pooled ASR (age standardized rate) was calculated based on study duration and quality of data using a subgroup analysis and random effect meta-analysis. Results A total of 76 studies (499 data points) were analyzed. Pooled ASR of BC for EMR was 39.8 per 100 000 person-year (95% confidence interval [CI], 36.01, 43.9) during 2011-2018. ASR of BC had an upward trend in EMR from 2005 to 2018. However, the increasing trend was found to be slightly different in various regions based on quality of data. Moreover, pooled ASR had a significant association with Human Development Index (HDI) [-6.6 (95% CI, -8.9, -4.3)] and obesity [0.1 (95% CI, 0.07, 0.1)]. Conclusion Pooled ASR of BC in EMR was lower than the global average. Also, the ASR value and its incremental trend have been higher in countries with low-quality data than in other countries of this region in recent years. Data quality or physiological factors, such as increase in obesity rates, could be the reasons for this incremental trend.

scholarly journals Life expectancy, adult mortality and completeness of death counts in Brazil and regions: comparative analysis of IHME, IBGE and other researchers estimates of levels and trends

2019 ◽  
Author(s):  
Bernardo L Queiroz ◽  
Marcos Roberto Gonzaga ◽  
Ana Maria Nogales ◽  
Bruno Torrente ◽  
Daisy Maria Xavier de Abreu
Keyword(s):  
Life Expectancy ◽  
State Level ◽  
Adult Mortality ◽  
Population Projections ◽  
Spatial And Temporal Variation ◽  
Mortality Data ◽  
Death Registration ◽  
Quality Of Data ◽  
National Statistics

Estimates of completeness of death registration are crucial to produce estimates of life tables, population projections and to the global burden of diseases study. They are an imperative step in quality of data analysis. In the case of state level data in Brazil, it is important to consider spatial and temporal variation in the quality of mortality data. In this paper, we compare and discuss alternative estimates of completeness of death registration, adult mortality (45q15) and life expectancy estimates produced by the National Statistics Office (IBGE), Institute for Health Metrics and Evaluation (IHME) and estimates presented in Queiroz, et.al (2017) and Schmertmann and Gonzaga (2018), for 1980 and 2010. We find significant differences in estimates that affect both levels and trends of completeness of adult mortality in Brazil and states. IHME and Queiroz, et.al (2017) estimates converge in 2010, but there are large differences when compared to estimates from the National Statistics Office (IBGE). Larger differences are observed for less developed states.

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