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 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

Development of definitions of suicidal behaviours

2021 ◽  
pp. 87-92
Author(s):  
José M. Bertolote ◽  
Danuta Wasserman
Keyword(s):  
Cause Of Death ◽  
Causes Of Death ◽  
Suicide Mortality ◽  
Sociocultural Factors ◽  
Vital Registration ◽  
Quality Of Information ◽  
Registration System ◽  
Vital Registration System ◽  
Over Time

This chapter covers definitions of suicidal behaviours and how they vary over time, reflecting predominant philosophies and schools of thought. The limitations in the quality of information about suicide mortality, as a common feature affecting the whole vital registration system, are discussed. The smaller the coverage a country receives, the greater the probability of distortions, which adds to any previous distortions already flawing the data. It should be strongly emphasized that these shortcomings affect the system as a whole, and hence all causes of death. However, suicidologists seem to be much more punctilious about under-reporting of suicide, and the essential unreliability of this information, than experts dealing with mortality from other causes. Coordinated efforts should be made to strengthen those systems, paying attention to the specificity of sociocultural factors’ influence on defining, recording, and reporting suicide as a cause of death.

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.

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 Causes of Mortality in Older People With Intellectual Disability: Results From the HA-ID Study

2018 ◽  
Vol 123 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Alyt Oppewal ◽  
Josje D. Schoufour ◽  
Hanne J.K. van der Maarl ◽  
Heleen M. Evenhuis ◽  
Thessa I.M. Hilgenkamp ◽  
...  
Keyword(s):  
Older Adults ◽  
Intellectual Disability ◽  
Cause Of Death ◽  
Causes Of Death ◽  
Circulatory System ◽  
Bacterial Diseases ◽  
Specific Mortality ◽  
Causes Of Mortality ◽  
Insight Into

Abstract We aim to provide insight into the cause-specific mortality of older adults with intellectual disability (ID), with and without Down syndrome (DS), and compare this to the general population. Immediate and primary cause of death were collected through medical files of 1,050 older adults with ID, 5 years after the start of the Healthy Ageing and Intellectual Disabilities (HA-ID) study. During the follow-up period, 207 (19.7%) participants died, of whom 54 (26.1%) had DS. Respiratory failure was the most common immediate cause of death (43.4%), followed by dehydration/malnutrition (20.8%), and cardiovascular diseases (9.4%). In adults with DS, the most common cause was respiratory disease (73.3%), infectious and bacterial diseases (4.4%), and diseases of the digestive system (4.4%). Diseases of the respiratory system also formed the largest group of primary causes of death (32.1%; 80.4% was due to pneumonia), followed by neoplasms (17.6%), and diseases of the circulatory system (8.2%). In adults with DS, the main primary cause was also respiratory diseases (51.1%), followed by dementia (22.2%).

Mortality Profile Related to Systemic Lupus Erythematosus: A Multiple Cause-of-death Analysis

2012 ◽  
Vol 39 (3) ◽  
pp. 496-503 ◽  
Author(s):  
DEBORAH C.C. SOUZA ◽  
AUGUSTO H. SANTO ◽  
EMILIA I. SATO
Keyword(s):  
Renal Failure ◽  
Cause Of Death ◽  
Lupus Erythematosus ◽  
Digestive System ◽  
Causes Of Death ◽  
Circulatory System ◽  
Systemic Lupus ◽  
Circulatory System Diseases ◽  
Underlying Causes ◽  
Digestive System Diseases

Objective.To analyze the mortality profile related to systemic lupus erythematosus (SLE) in the state of São Paulo, Brazil.Methods.For the 1985–2007 period, we analyzed all death certificates (n = 4815) on which SLE was listed as an underlying (n = 3133) or non-underlying (n = 1682) cause of death. We evaluated sex, age, and the causes of death, comparing the first and last 5 years of the period, as well as determining the observed/expected death ratio (O/E ratio).Results.For SLE as an underlying cause, the mean age at death was 35.77 years (SD 15.12) and the main non-underlying causes of death were renal failure, circulatory system diseases, pneumonia, and septicemia. Over the period, the proportional mention of infectious causes and circulatory system diseases increased, whereas renal diseases decreased. For SLE as a non-underlying cause of death, the most common underlying causes of death were circulatory, respiratory, genitourinary, and digestive system diseases, and certain infections. The overall death O/E ratio was > 1 for renal failure, tuberculosis, septicemia, pneumonia, and digestive system diseases, as well as for circulatory system diseases at < 50 years of age, particularly acute myocardial infarct.Conclusion.Unlike in developed countries, renal failure and infectious diseases are still the most frequent causes of death. The increase in SLE deaths associated with infection, especially pneumonia and septicemia, is worrisome. The judicious use of immunosuppressive therapy together with vigorous treatment of cardiovascular comorbidities is crucial to the successful management of SLE and to improving survival of patients with SLE.

scholarly journals Improving the quality of cause of death data for public health policy: are all ‘garbage’ codes equally problematic?

BMC Medicine ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Mohsen Naghavi ◽  
Nicola Richards ◽  
Hafiz Chowdhury ◽  
James Eynstone-Hinkins ◽  
Elisabeth Franca ◽  
...  
Keyword(s):  
Public Health ◽  
Health Policy ◽  
Cause Of Death ◽  
Public Health Policy ◽  
Death Data

Influences on place of death in Botswana

2010 ◽  
Vol 8 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Mark Lazenby ◽  
Tony Ma ◽  
Howard J. Moffat ◽  
Marjorie Funk ◽  
M. Tish Knobf ◽  
...  
Keyword(s):  
Cause Of Death ◽  
Causes Of Death ◽  
Death Certificate ◽  
Female Gender ◽  
Place Of Death ◽  
Hospital Deaths ◽  
The Mean ◽  
Dying At Home ◽  
At Home

AbstractObjective:There is an emerging body of research aimed at understanding the determinants of place of death, as where people die may influence the quality of their death. However, little is known about place of death for people of Southern Africa. This study describes place of death (home or hospital) and potential influencing factors (cause of death, age, gender, occupation, and district of residence).Method:We collected the death records for years 2005 and 2006 for all adult non-traumatic deaths that occurred in Botswana, described them, and looked for associations using bivariate and multivariate analyses.Results:The evaluable sample consisted of 18,869 death records. Home deaths accounted for 36% of all deaths, and were predominantly listed with “unknown” cause (82.3%). Causes of death for hospital deaths were HIV/AIDS (49.7%), cardiovascular disease (13.8%), and cancer (6.6%). The mean age at the time of all deaths was 53.2 years (SD = 20.9); with 61 years (SD = 22.5) for home deaths and 48.8 years (SD = 18.6) for hospital deaths (p < .001). Logistic regression analysis revealed the following independent predictors of dying at home: unknown cause of death; female gender; >80 years of age; and residing in a city or rural area (p < .05).Significance of Results:A major limitation of this study was documentation of cause of death; the majority of people who died at home were listed with an unknown cause of death. This finding impeded the ability of the study to determine whether cause of death influenced dying at home. Future study is needed to determine whether verbal autopsies would increase death-certificate listings of causes of home deaths. These data would help direct end-of-life care for patients in the home.

scholarly journals Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019

2021 ◽  
Vol 21 (S1) ◽  
Author(s):  
Trust Nyondo ◽  
Gisbert Msigwa ◽  
Daniel Cobos ◽  
Gregory Kabadi ◽  
Tumaniel Macha ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Health Policy ◽  
Cause Of Death ◽  
Causes Of Death ◽  
Health Facilities ◽  
Mortality Data ◽  
Medical Certification ◽  
Specific Mortality ◽  
Icd 10

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.

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