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

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.

2021 ◽  
Vol 6 (10) ◽  
pp. e006660
Author(s):  
Tim Adair ◽  
U S H Gamage ◽  
Lene Mikkelsen ◽  
Rohina Joshi

IntroductionRecent studies suggest that more male than female deaths are registered and a higher proportion of female deaths are certified as ‘garbage’ causes (ie, vague or ill-defined causes of limited policy value). This can reduce the utility of sex-specific mortality statistics for governments to address health problems. To assess whether there are sex differences in completeness and quality of data from civil registration and vital statistics systems, we analysed available global death registration and cause of death data.MethodsCompleteness of death registration for females and males was compared in 112 countries, and in subsets of countries with incomplete death registration. For 64 countries with medical certificate of cause of death data, the level, severity and type of garbage causes was compared between females and males, standardised for the older age distribution and different cause composition of female compared with male deaths.ResultsFor 42 countries with completeness of less than 95% (both sexes), average female completeness was 1.2 percentage points (p.p.) lower (95% uncertainty interval (UI) −2.5 to –0.2 p.p.) than for males. Aggregate female completeness for these countries was 7.1 p.p. lower (95% UI −12.2 to −2.0 p.p.; female 72.9%, male 80.1%), due to much higher male completeness in nine countries including India. Garbage causes were higher for females than males in 58 of 64 countries (statistically significant in 48 countries), but only by an average 1.4 p.p. (1.3–1.6 p.p.); results were consistent by severity and type of garbage.ConclusionAlthough in most countries analysed there was no clear bias against females in death registration, there was clear evidence in a few countries of systematic undercounting of female deaths which substantially reduces the utility of mortality data. In countries with cause of death data, it was only of marginally poorer quality for females than males.


2019 ◽  
Author(s):  
Bernardo L Queiroz ◽  
Marcos Roberto Gonzaga ◽  
Ana Maria Nogales ◽  
Bruno Torrente ◽  
Daisy Maria Xavier de Abreu

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.


2020 ◽  
Vol 48 (4) ◽  
pp. 235-242
Author(s):  
Endang Indriasih ◽  
Tita Rosita ◽  
Anni Yulianti ◽  
Rozana Ika Agustiya

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


2021 ◽  
Vol 21 (S1) ◽  
Author(s):  
Trust Nyondo ◽  
Gisbert Msigwa ◽  
Daniel Cobos ◽  
Gregory Kabadi ◽  
Tumaniel Macha ◽  
...  

Abstract Background Monitoring medically certified causes of death is essential to shape national health policies, track progress to Sustainable Development Goals, and gauge responses to epidemic and pandemic disease. The combination of electronic health information systems with new methods for data quality monitoring can facilitate quality assessments and help target quality improvement. Since 2015, Tanzania has been upgrading its Civil Registration and Vital Statistics system including efforts to improve the availability and quality of mortality data. Methods We used a computer application (ANACONDA v4.01) to assess the quality of medical certification of cause of death (MCCD) and ICD-10 coding for the underlying cause of death for 155,461 deaths from health facilities from 2014 to 2018. From 2018 to 2019, we continued quality analysis for 2690 deaths in one large administrative region 9 months before, and 9 months following MCCD quality improvement interventions. Interventions addressed governance, training, process, and practice. We assessed changes in the levels, distributions, and nature of unusable and insufficiently specified codes, and how these influenced estimates of the leading causes of death. Results 9.7% of expected annual deaths in Tanzania obtained a medically certified cause of death. Of these, 52% of MCCD ICD-10 codes were usable for health policy and planning, with no significant improvement over 5 years. Of certified deaths, 25% had unusable codes, 17% had insufficiently specified codes, and 6% were undetermined causes. Comparing the before and after intervention periods in one Region, codes usable for public health policy purposes improved from 48 to 65% within 1 year and the resulting distortions in the top twenty cause-specific mortality fractions due to unusable causes reduced from 27.4 to 13.5%. Conclusion Data from less than 5% of annual deaths in Tanzania are usable for informing policy. For deaths with medical certification, errors were prevalent in almost half. This constrains capacity to monitor the 15 SDG indicators that require cause-specific mortality. Sustainable quality assurance mechanisms and interventions can result in rapid improvements in the quality of medically certified causes of death. ANACONDA provides an effective means for evaluation of such changes and helps target interventions to remaining weaknesses.


2019 ◽  
Vol 29 (1) ◽  
pp. 1-12
Author(s):  
Eva Sulistiowati ◽  
Kartika Handayani

Abstract The registration system of death and cause of death as part of a good Civil Registration and Vital Statistics System (CRVS) form the basis for planning, monitoring and evaluating development programs. Ambon City as one of the development areas for recording death and causes of death since 2010 shows results that are still under-estimated (below 7 permill). Evaluation of the implementation process is needed to find out the obstacles. The qualitative methods include in-depth interviews, Focus Group Discussion (FGD) and collecting secondary data as supporting data. The analysis is part of the Comprehensive Evaluation Study on the Development of the Death Registration System and the Causes of Death in 14 districts/cities in Indonesia in 2014, carried out by triangulation and thematically compiled. The results obtained that the system of birth and death registration in the city of Ambon is already well-organized: there are regional regulations regarding the administration of population administration even though they have not included information on causes of death; the difference in vital registration data from various agencies; limited human resources, funds, facilities and infrastructure; and public awareness to report births/deaths still low. To increase the coverage of death registration and causes of death, it is necessary: local government regulations that include the cause of death; formation of joint committees and “one data” vital statistics; Autopsy Verbal (AV) workshop/training; utilization of funds from the Regional Revenue and Expenditure Budget and Health Operational Costs optimally; cooperation with community leaders (Muhabet) and socialization to the community. Abstrak Sistem registrasi kematian dan penyebab kematian sebagai bagian dari Sistem Registrasi Sipil dan Statistik Vital (Civil Registrations and Vital Statistics/CRVS) yang baik menjadi dasar untuk perencanaan, monitoring, dan evaluasi program pembangunan. Kota Ambon sebagai salah satu daerah pengembangan kegiatan pencatatan kematian dan penyebab kematian sejak tahun 2010, menunjukkan hasil yang masih under estimate (dibawah 7 permil). Evaluasi proses pelaksanaan diperlukan untuk mengetahui kendala yang dihadapi. Metode yang digunakan kualitatif meliputi wawancara mendalam, Focus Group Discussion (FGD) dan mengumpulkan data sekunder sebagai data pendukung. Analisis merupakan bagian dari Studi Evaluasi Menyeluruh Pengembangan Sistem Registrasi Kematian dan Penyebab Kematian di 14 kabupaten/kota di Indonesia Tahun 2014, dilakukan dengan triangulasi dan disusun secara tematik. Hasil yang diperoleh bahwa sistem pencatatan kelahiran dan kematian di Kota Ambon sudah tersistem dan tertata cukup baik, ada peraturan daerah tentang penyelenggaraan administrasi kependudukan walaupun belum mencakup keterangan penyebab kematian; adanya perbedaan data registrasi vital dari berbagai instansi; keterbatasan sumber daya manusia, dana, sarana prasarana; serta kesadaran masyarakat untuk melaporkan kejadian kelahiran/kematian yang masih rendah. Untuk meningkatkan cakupan registrasi kematian dan penyebab kematian, diperlukan: regulasi pemerintah daerah yang menyertakan penyebab kematian; pembentukan komite bersama dan “one data” statistik vital; workshop/pelatihan Autopsy Verbal (AV); pemanfaatan dana Anggaran Pendapatan dan Belanja Daerah (APBD) dan Biaya Operasional Kesehatan (BOK) secara optimal; kerjasama dengan tokoh masyarakat (Muhabet), dan sosialisasi kepada masyarakat.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252106
Author(s):  
Reuben Musarandega ◽  
Rhoderick Machekano ◽  
Robert Pattinson ◽  
Stephen Peter Munjanja ◽  

Background Sub-Saharan Africa (SSA) carries the highest burden of maternal mortality, yet, the accurate maternal mortality ratios (MMR) are uncertain in most SSA countries. Measuring maternal mortality is challenging in this region, where civil registration and vital statistics (CRVS) systems are weak or non-existent. We describe a protocol designed to explore the use of CRVS to monitor maternal mortality in Zimbabwe—an SSA country. Methods In this study, we will collect deliveries and maternal death data from CRVS (government death registration records) and health facilities for 2007–2008 and 2018–2019 to compare MMRs and causes of death. We will code the causes of death using classifications in the maternal mortality version of the 10th revision to the international classification of diseases. We will compare the proportions of maternal deaths attributed to different causes between the two study periods. We will also analyse missingness and misclassification of maternal deaths in CRVS to assess the validity of their use to measure maternal mortality in Zimbabwe. Discussion This study will determine changes in MMR and causes of maternal mortality in Zimbabwe over a decade. It will show whether HIV, which was at its peak in 2007–2008, remains a significant cause of maternal deaths in Zimbabwe. The study will recommend measures to improve the quality of CRVS data for future use to monitor maternal mortality in Zimbabwe and other SSA countries of similar characteristics.


2021 ◽  
Author(s):  
Anuj Kumar Pandey ◽  
Diksha Gautam ◽  
Benson Thomas M ◽  
Yogita Kharakwal

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.


2021 ◽  
Vol 2 (2) ◽  
pp. 23-32
Author(s):  
Nataša Rosić

Introduction: Data on the cause of death form the cornerstone for analyzing the health situation and disease in countries, and they make a major contribution to building evidence for health policies. Aim: The aim of this study was to determine the extent to which diagnoses from the group - Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00-R99), International Classification of Diseases (ICD - Revision X) were used as the main cause of death in Serbia, Croatia, North Macedonia, and Slovenia in the ten-year period, 2007 - 2016. Materials and methods: Methods of descriptive and analytical statistics were used in this research. An analysis of data on the causes of death (R00-R99 ICD - Revision X), by gender, during the ten-year period (2007 - 2016) was performed. Linear regression was also used as an analytical method to analyze the trend. Results: During the ten-year period, in Serbia, the R00-R99 diagnoses were among the five most common groups of diagnoses of death, i.e., in each year they took third place, with a percentage of 4.7%. In the observed period, in the surrounding countries, there was an increase in the death rate in Slovenia, with the highest rate in 2016 (19.9), while in Croatia there was a decrease in the death rate related to the diagnoses from group XVIII ICD - X (R00-R99). In Macedonia, the rate had a linear trend, with a slight decline in 2012 (52.3) and 2013 (58.7). In the observed period, an increase in the death rate of the population of Serbia with an unknown cause of death was observed, with particularly high rates in 2009 and 2016. Comparative analysis has shown that R00-R99 diagnoses are represented more in the mortality statistics of Serbia than in Slovenia and Croatia, and less than in Northern Macedonia. Conclusion: Urgent interventions are needed to improve the quality of mortality statistics and data on the causes of death in the described countries.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Jayanta Kumar Basu ◽  
Tim Adair

Abstract Background In India the number of registered deaths increased substantially in recent years, improving the potential of the civil registration and vital statistics (CRVS) system to be the primary source of mortality data and providing more families of decedents with the benefits of possessing a death certificate. This study aims to identify whether inequalities in the completeness of death registration between states in India, including by sex, have narrowed during this period of CRVS system strengthening. Methods Data used in this study are registered deaths by state and year from 2000 to 2018 (and by sex from 2009 to 2018) reported in the Civil Registration Reports published by the Office of Registrar General of India. Completeness of death registration is calculated using the empirical completeness method. Levels and trends inequalities in completeness are measured in each state a socio-economic indicator – the Socio-Demographic Index (SDI). Results Estimated completeness of death registration in India increased from 58% in 2000 to 81% in 2018. Male completeness rose from 60% in 2009 to 85% in 2018 and was much higher than female completeness, which increased from 54 to 74% in the same period. Completeness remained very low in some states, particularly from the eastern (e.g. Bihar) and north-eastern regions. However, in states from the northern region (e.g. Uttar Pradesh) completeness increased significantly from a low level. There was a narrowing of inequalities in completeness according to the SDI during the period, however large inequalities between states remain. Conclusions The increase in completeness of death registration in India is a substantial achievement and increases the potential of the death registration system as a routine source of mortality data. Although narrowing of inequalities in completeness demonstrates that the benefits of higher levels of death registration have spread to relatively poorer states of India in recent years, the continued low completeness in some states and for females are concerning. The Indian CRVS system also needs to increase the number of registered deaths with age at death reported to improve their usability for mortality statistics.


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