ICD-10 Mortality Coding and the NEIS: A Comparative Study

2007 ◽  
Vol 36 (2) ◽  
pp. 11-23 ◽  
Author(s):  
Leanne Daking ◽  
Leonie Dodds
Keyword(s):  
Information System ◽  
Comparative Study ◽  
Cause Of Death ◽  
Australian Bureau ◽  
Mortality Data ◽  
Limited Access ◽  
Icd 10 ◽  
Australian Bureau Of Statistics

The collection and utilisation of mortality data are often hindered by limited access to contextual details of the circumstances surrounding fatal incidents. The National Coroners Information System (NCIS) can provide researchers with access to such information. The NCIS search capabilities have been enhanced by the inclusion of data supplied by the Australian Bureau of Statistics (ABS), specifically the ICD-10 Cause of Death codeset. A comparative study was conducted to identify consistencies and differences between ABS ICD-10 codes and those that could be generated by utilising the full NCIS record. Discrepancies between the two sets of codes were detected in over 50% of cases, which highlighted the importance of access to complete and timely documentation in the assignment of accurate and detailed cause of death codes.

Varying impact of co-morbid conditions on self-harm resulting in mortality in Australia

2016 ◽  
Vol 47 (1) ◽  
pp. 28-37 ◽  
Author(s):  
Kate Churruca ◽  
Brian Draper ◽  
Rebecca Mitchell
Keyword(s):  
Chronic Conditions ◽  
Mortality Data ◽  
Free Text ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification ◽  
Self Harm ◽  
Australian Bureau Of Statistics ◽  
The Impact ◽  
Morbid Conditions

Background: Research has associated some chronic conditions with self-harm and suicide. Quantifying such a relationship in mortality data relies on accurate death records and adequate techniques for identifying these conditions. Objective: This study aimed to quantify the impact of identification methods for co-morbid conditions on suicides in individuals aged 30 years and older in Australia and examined differences by gender. Method: A retrospective examination of mortality records in the National Coronial Information System (NCIS) was conducted. Two different methods for identifying co-morbidities were compared: International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) coded data, which are provided to the NCIS by the Australian Bureau of Statistics, and free-text searches of Medical Cause of Death fields. Descriptive statistics and χ2 tests were used to compare the methods for identifying co-morbidities and look at differences by gender. Results: Results showed inconsistencies between ICD-10 coded and coronial reports in the identification of suicide and chronic conditions, particularly by type (physical or mental). There were also significant differences in the proportion of co-morbid conditions by gender. Conclusion: While ICD-10 coded mortality data more comprehensively identified co-morbidities, discrepancies in the identification of suicide and co-morbid conditions in both systems require further investigation to determine their nature (linkage errors, human subjectivity) and address them. Furthermore, due to the prescriptive coding procedures, the extent to which medico-legal databases may be used to explore potential and previously unrecognised associations between chronic conditions and self-harm deaths remains limited.

scholarly journals COVID-19 mortality in Belgrade

2021 ◽  
Vol 2 (3) ◽  
pp. 236-247
Author(s):  
Nataša Rosić ◽  
Milena Šantrić-Milićević
Keyword(s):  
Cause Of Death ◽  
Death Rate ◽  
Premature Mortality ◽  
Cross Sectional Study ◽  
Mortality Data ◽  
Cross Sectional ◽  
Public Health Decision ◽  
Health Decision ◽  
Icd 10 ◽  
The Republic

Introduction: Mortality data are the most reliable indicators of the number of lives that a community has lost due to COVID-19 and represent the minimum data necessary for public health decision-making. Aim: The aim of the study is to describe the basic characteristics of population mortality from COVID-19 in Belgrade in 2020. Methods: The unit of observation in this cross-sectional study for the description of mortality from COVID-19 in 2020 was the population of Belgrade (total, by sex, and by age intervals). COVID-19 was analyzed as the main cause of death (ICD-10: U071, U072). The number and the structure of deaths (%), the crude death rate (per 1,000 population) and the specific death rate (per 100,000 population) were analyzed. The data sources for the study were official statistics on vital events of the Statistical Office of the Republic of Serbia. Results: In 2020, 10.5% of the total number of deaths were due to COVID-19, and the majority of deaths was from the male contingent of Belgrade residents. The mortality rate due to COVID-19 was 158.78 per 100,000 population (211.7 for males and 111.4 for females). COVID-19 was the second leading cause of death in Belgrade. Conclusion: The results of this study indicate the existence of premature mortality in Belgrade. In 2020, COVID-19 was the second leading cause of death among the male residents of Belgrade, while in female residents, it was the third leading cause of mortality. This research provides evidence that can contribute to the international discussion about societal losses caused by the COVID-19 pandemic.

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.

scholarly journals Quality of cause-of-death data in Brazil: Garbage codes among registered deaths in 2000 and 2015

2019 ◽  
Vol 22 (suppl 3) ◽  
Author(s):  
Renato Azeredo Teixeira ◽  
Mohsen Naghavi ◽  
Mark Drew Crosland Guimarães ◽  
Lenice Harumi Ishitani ◽  
Elizabeth Barboza França
Keyword(s):  
Data Quality ◽  
Cause Of Death ◽  
Age Groups ◽  
Health Assessment ◽  
Mortality Data ◽  
Laboratory Findings ◽  
Northern Regions ◽  
Icd 10 ◽  
Death Data

ABSTRACT Introduction: reliability of mortality data is essential for health assessment and planning. In Brazil, a high proportion of deaths is attributed to causes that should not be considered as underlying causes of deaths, named garbage codes (GC). To tackle this issue, in 2005, the Brazilian Ministry of Health (MoH) implements the investigation of GC-R codes (codes from chapter 18 “Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified, ICD-10”) to improve the quality of cause-of-death data. This study analyzes the GC cause of death, considered as the indicator of data quality, in Brazil, regions, states and municipalities in 2000 and 2015. Methods: death records from the Brazilian Mortality Information System (SIM) were used. Analysis was performed for two GC groups: R codes and non-R codes, such as J18.0-J18.9 (Pneumonia unspecified). Crude and age-standardized rates, number of deaths and proportions were considered. Results: an overall improvement in the quality of mortality data in 2015 was detected, with variations among regions, age groups and size of municipalities. The improvement in the quality of mortality data in the Northeastern and Northern regions for GC-R codes is emphasized. Higher GC rates were observed among the older adults (60+ years old). The differences among the areas observed in 2015 were smaller. Conclusion: the efforts of the MoH in implementing the investigation of GC-R codes have contributed to the progress of data quality. Investment is still necessary to improve the quality of cause-of-death statistics.

Reliability of ICD-10 External Cause of Death Codes in the National Coroners Information System

2010 ◽  
Vol 39 (3) ◽  
pp. 16-26 ◽  
Author(s):  
Lyndal Bugeja ◽  
Angela J Clapperton ◽  
Jessica J Killian ◽  
Karen L Stephan ◽  
Joan Ozanne-Smith
Keyword(s):  
Information System ◽  
Cause Of Death ◽  
Icd 10

Aboriginal and Torres Strait Islander Health — Current Policy Issues

1998 ◽  
Vol 26 (1) ◽  
pp. 18-24
Keyword(s):  
Indigenous People ◽  
Torres Strait Islander ◽  
Health Problems ◽  
Australian Bureau ◽  
Government Policies ◽  
Current Policy ◽  
Policy Issues ◽  
Torres Strait ◽  
Australian Bureau Of Statistics ◽  
Torres Strait Islander Health

This article addresses Aboriginal and Torres Strait Islander health problems and critically investigates current government policies which are attempting to raise the health standards of these Indigenous people. Particular emphasis will be placed on the Queensland Aboriginal and Torres Strait Islander population, which, according to the Australian Bureau of Statistics census in 1986, stood at just over 61,000 or 2.4 per cent of the State's population.

scholarly journals 96 Estimation of palliative care needs of people experiencing homelessness using mortality data and cause-of-death

2021 ◽  
Author(s):  
Aoibheann Conneely ◽  
Jo-Hanna Ivers ◽  
Joe Barry ◽  
Elaine Dunne ◽  
Norma O’Leary ◽  
...  
Keyword(s):  
Palliative Care ◽  
Cause Of Death ◽  
Mortality Data ◽  
Care Needs ◽  
Palliative Care Needs

scholarly journals The decomposition of life expectancy for age and cause of death in Tuscany, Italy

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
N Nante ◽  
L Kundisova ◽  
F Gori ◽  
A Martini ◽  
F Battisti ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Causes Of Death ◽  
National Level ◽  
Age Groups ◽  
Resistant Bacteria ◽  
Mortality Data ◽  
Life Expectancy At Birth ◽  
Icd 10 ◽  
Reduction Of Mortality ◽  
The Impact

Abstract Introduction Changing of life expectancy at birth (LE) over time reflects variations of mortality rates of a certain population. Italy is amongst the countries with the highest LE, Tuscany ranks fifth at the national level. The aim of the present work was to evaluate the impact of various causes of death in different age groups on the change in LE in the Tuscany region (Italy) during period 1987-2015. Material and methods Mortality data relative to residents that died during the period between 1987/1989 and 2013/2015 were provided by the Tuscan Regional Mortality Registry. The causes of death taken into consideration were cardiovascular (CVS), respiratory (RESP) and infective (INF) diseases and cancer (TUM). The decomposition of LE gain was realized with software Epidat, using the Pollard’s method. Results The overall LE gain during the period between two three-years periods was 6.7 years for males, with a major gain between 65-89, and 4.5 years for females, mainly improved between 75-89, <1 year for both sexes. The major gain (2.6 years) was attributable to the reduction of mortality for CVS, followed by TUM (1.76 in males and 0.83 in females) and RESP (0.4 in males; 0.1 in females). The major loss of years of LE was attributable to INF (-0.15 in females; -0.07 in males) and lung cancer in females (-0.13), for which the opposite result was observed for males (gain of 0.62 years of LE). Conclusions During the study period (1987-2015) the gain in LE was major for males. To the reduction of mortality for CVS have contributed to the tempestuous treatment of acute CVS events and secondary CVS prevention. For TUM the result is attributable to the adherence of population to oncologic screening programmes. The excess of mortality for INF that lead to the loss of LE can be attributed to the passage from ICD-9 to ICD-10 in 2003 (higher sensibility of ICD-10) and to the diffusion of multi-drug resistant bacteria, which lead to elevated mortality in these years. Key messages The gain in LE during the period the 1987-2015 was higher in males. The major contribution to gain in LE was due to a reduction of mortality for CVS diseases.

scholarly journals Suicide in prison and after release: a 17-year national cohort study

2021 ◽  
Author(s):  
Anne Bukten ◽  
Marianne Riksheim Stavseth
Keyword(s):  
High Risk ◽  
Cause Of Death ◽  
Proportional Hazards ◽  
Prison Population ◽  
Cox Proportional Hazards ◽  
Hazard Ratios ◽  
Crude Mortality ◽  
Icd 10 ◽  
National Cohort ◽  
National Register Data

Abstract Background People in prison have an extremely high risk of suicide. The aim of this paper is to describe all suicides in the Norwegian prison population from 2000 to 2016, during and following imprisonment; to investigate the timing of suicides; and to investigate the associations between risk of suicide and types of crime. Methods We used data from the Norwegian Prison Release study (nPRIS) including complete national register data from the Norwegian Prison Register and the Norwegian Cause of Death Register in the period 1.1.2000 to 31.12.2016, consisting of 96,856 individuals. All suicides were classified according to ICD-10 codes X60-X84. We calculated crude mortality rates (CMRs) per 100,000 person-years and used a Cox Proportional-Hazards regression model to investigate factors associated with suicide during imprisonment and after release reported as hazard ratios (HRs). Results Suicide accounted for about 10% of all deaths in the Norwegian prison population and was the leading cause of death in prison (53% of in deaths in prison). The CMR per 100,000 person years for in-prison suicides was 133.8 (CI 100.5–167.1) and was ten times higher (CMR = 1535.0, CI 397.9–2672.2) on day one of incarceration. Suicides after release (overall CMR = 82.8, CI 100.5–167.1) also peaked on day one after release (CMR = 665.7, CI 0–1419.1). Suicide in prison was strongly associated with convictions of homicide (HR 18.2, CI 6.5–50.8) and high-security prison level (HR 15.4, CI 3.6–65.0). Suicide after release was associated with convictions of homicide (HR 3.1, CI 1.7–5.5). Conclusion There is a high risk of suicide during the immediate first period of incarceration and after release. Convictions for severe violent crime, especially homicide, are associated with increased suicide risk, both in prison and after release.

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