Demos
Others titles
- OECD Patients Survival And Mortality Related Quality Indicators
- Patients Survival And Mortality In OECD Countries
Keywords
- OECD Health Care Quality Indicators
- OECD Health Care Performance Indicators
- Deaths Among Patients
- Cancer 5 Year Survival
- Mental Disorders And Suicide Rate
- Excess Of Mortality
- Acute Myocardial Infarction Case Fatalities
- Stroke Case Fatalities
- In Patient Mortality
- In Patient Deaths
OECD Patients Mortality And Survival Indicators
This dataset contains internationally comparable indicators regarding patients mortality and survival for country members and partners of OECD (The Organization for Economic Co-operation and Development) and for countries in accession negotiations with OECD. The indicators values cover the period 2000-2015.
Get The Data
- Research
Non-Commercial, Share-Alike, Attribution Free Forever - CommercialCommercial Use, Remix & Adapt, White Label
Log in to download
Non-Commercial, 
Share-Alike, 
Attribution 
Commercial Use, 
Remix & Adapt, 
White Label
Description
The OECD (The Organization for Economic Co-operation and Development) mission is to promote policies that will improve the economic and social well-being of people around the world. OECD’s work is based on continued monitoring of events in member countries as well as outside OECD area, and includes regular projections of short and medium-term economic developments. The OECD Secretariat collects and analyses data, after which committees discuss policy regarding this information, the Council makes decisions, and then governments implement recommendations. The OECD Health Datasets offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool to carry out comparative analyses and draw lessons from international comparisons of diverse health systems.
In order to monitor changes in cancer incidence and the quality of care, many countries have developed cancer registries that can analyze and report cancer survival at the national and regional levels. At the international level, a growing number of countries now participate in the global effort to monitor and publish robustly comparable cancer survival estimates via the CONCORD program for the Global Surveillance of Cancer Survival, led by the London School of Hygiene and Tropical Medicine. The OECD collaborates with the CONCORD program to strengthen countries’ capacity in monitoring the effectiveness of their health systems in delivering high-quality cancer care. The OECD’s Health Care Indicators for cancer care currently include the following indicators provided by the CONCORD program:
– Breast cancer 5-year net survival
– Cervical cancer 5-year net survival
– Colorectal cancer 5-year net survival
– Acute lymphoblastic leukaemia
Breast cancer 5-year net survival is measured by dividing the number of women aged 15-99 diagnosed with breast cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population.
Cervical cancer 5-year net survival is measured by women aged 15-99 diagnosed with cervical cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population.
Colorectal cancer 5-year net survival is measured by dividing the number of men and women aged 15-99 diagnosed with colorectal cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population. Data is provided separately for colon and rectal categories of cancers.
Leukaemia is the most common childhood cancer and accounts for over 30% of all cancers diagnosed in children aged below 15 years old in the world (IARC, 2012). Children with acute leukaemia who are free of the disease for 5 years are considered to have been cured as remission after 5 years is rare.
The acute hospital care remains central to the performance of the health care system. Despite substantial gains in the sector, health care providers, researchers and policy makers continue to seek further improvements in the delivery of acute care. As part of these efforts, many countries have developed indicators to measure and monitor acute care performance. Such national efforts have been translated to the international stage through the use of a structured review process whereby expert panels have evaluated and recommended indicators related to cardiac care and acute care. The following three acute care indicators, developed through the HCQI (Health Care Quality Indicators) project, were considered suitable for international comparison:
– The rates of death within 30 days following hospital admissions for acute myocardial infarction (AMI)
– The rates of death within 30 days following hospital admissions for ischemic stroke
– The rates of death within 30 days following hospital admissions for hemorrhagic stroke
For the AMI and stroke indicators, two types of case-fatality indicators are collected. The first reports on the percentage of deaths that occur within 30 days following admission (admission-based), where the death occurred in the same hospital as the initial admission. The second indicator reports on the percentage of deaths that occur within 30 days following admission (patient-based), where the death may have occurred in any hospital or out of hospital. While the second indicator is preferred, not all countries have the capacity to report these data.
The admission-based AMI and stroke indicators are measured by dividing the number of deaths in the same hospital that occurred within 30 days of eligible hospital admission (as defined by the ICD-10 codes and age 45 years and older) by the number of admissions to hospital with primary diagnosis defined by the ICD-10 codes specified and age of 45 years and older, where the admission did not result in a transfer to another acute care hospital, from 1st of January to 31st of December in the specified year.
The patient-based AMI and stroke indicators are measured by dividing the number of deaths in any hospital and out of hospital that occurred within 30 days of eligible hospital admission (as defined by the ICD-10 codes and age 45 years and older) by the number of admissions to hospital with primary diagnosis eligible defined by the ICD-10 codes specified and age of 45 years and older, from 1st of January to 31st December in the specified year.
The HCQI project has identified mental health care as a priority area for further quality of care indicator development, to build on the existing indicators relating to health workforce (e.g. psychiatrists) and health status (e.g. suicide). Through the use of a structured review process, expert panels have previously evaluated and recommended indicators related to quality of mental health care for further consideration. A survey of countries participating in this aspect of the HCQI project subsequently revealed that systems of care vary markedly across countries and the availability of national indicator data suitable for international comparison is limited at this time. The following indicators, developed through the HCQI project, are currently considered suitable for international comparison:
– In-patient suicides among people diagnosed with a mental disorder
– Suicide within 1 year after discharge among patients diagnosed with a mental disorder
– Suicide within 30 days after discharge among patients diagnosed with a mental disorder
– Excess mortality for patients diagnosed with schizophrenia
– Excess mortality for patients diagnosed with severe mental illness
– Excess mortality for patients diagnosed with bipolar disorder
The HCQI project has monitored national information system infrastructures with a view to refine definitions of these indicators and to improve cross-national comparability.
In-patient suicides among people diagnosed with a mental disorder is measured for patients aged 15 and older by dividing the number of patient discharges among denominator cases coded as suicide in the reference year by the number of patients discharged with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioral disorders in the reference year.
Suicide within 1 year after discharge among patients diagnosed with a mental disorder is measured for patients aged 15 and older by dividing the number of patients among denominator cases that committed suicide within 1 year after discharge by the number of patients discharged alive with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioral disorders in the reference year. In cases with several admissions during the reference year, the follow up period starts from the last discharge (discharge from a hospital and thus not from one department to another). This indicator required data that links hospital records with deaths after discharge.
Suicide within 30 days after discharge among patients diagnosed with a mental disorder is measured for patients aged 15 and older by dividing the number of patients among denominator cases that committed suicide within 30 days after discharge by the number of patients discharged alive with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioral disorders in the reference year. In cases with several admissions during the reference year, the follow up period starts from the last discharge (discharge from a hospital and thus not from one department to another).
Excess mortality for patients diagnosed with schizophrenia is measured for patients aged 15-74 years and older as the ratio of two mortality rates:
– Age- and sex-standardized of all deaths and for all persons aged between 15 and 74 in the reference year among all people aged 15-74 ever diagnosed with schizophrenia (with the specified ICD-10 codes) as obtained from a register or equivalent data source in the reference year
– Age- and sex-standardized of all deaths and for all persons aged between 15 and 74 in the reference year among all people aged 15-74 in the reference year
Excess mortality for patients diagnosed with severe mental illness is measured for patients aged 15-74 years and older as the ratio of two mortality rates:
– Age- and sex-standardized of all deaths and for all persons aged between 15 and 74 in the reference year among all people aged 15-74 ever diagnosed with severe mental illness as obtained from a register or equivalent data source in the reference year
– Age- and sex-standardized of all deaths and for all persons aged between 15 and 74 in the reference year among all people aged 15-74 in the reference year
Only the countries with a pre-existing registry which records the whole population of severe mental illnesses needed to report this indicator.
Excess mortality for patients diagnosed with bipolar disorder is measured for patients aged 15-74 years and older as the ratio of two mortality rates:
– Age- and sex-standardized of all deaths and for all persons aged between 15 and 74 in the reference year among all people aged 15-74 ever diagnosed with bipolar disorder (with the specified ICD-10 codes) as obtained from a register or equivalent data source in the reference year
– Age- and sex-standardized of all deaths and for all persons aged between 15 and 74 in the reference year among all people aged 15-74 in the reference year
Breaks in the time-related continuity of data on which the indicators values are based are specified in the content of dataset. There are also specified the cases were the methodology used for data collection was different (deviations exist).
About this Dataset
Data Info
| Date Created | 2017-11-10 |
|---|---|
| Last Modified | 2017-11-10 |
| Version | 2017-11-10 |
| Update Frequency |
Irregular |
| Temporal Coverage |
2000-2015 |
| Spatial Coverage |
OECD Members and Partners Countries |
| Source | John Snow Labs; The Organization for Economic Co-operation and Development; |
| Source License URL | |
| Source License Requirements |
N/A |
| Source Citation |
N/A |
| Keywords | OECD Health Care Quality Indicators, OECD Health Care Performance Indicators, Deaths Among Patients, Cancer 5 Year Survival, Mental Disorders And Suicide Rate, Excess Of Mortality, Acute Myocardial Infarction Case Fatalities, Stroke Case Fatalities, In Patient Mortality, In Patient Deaths |
| Other Titles | OECD Patients Survival And Mortality Related Quality Indicators, Patients Survival And Mortality In OECD Countries |
Data Fields
| Name | Description | Type | Constraints |
|---|---|---|---|
| Data_Year_Or_Survival_1st_Year | The year corresponding to the specified indicator value for a country and population group or the first year of the 5 year survival time corresponding to the specified indicator value for a country and population group | date | required : 1 |
| Survival_5th_Year | The fifth year of the 5 year survival time corresponding to the specified indicator value for a country and population group | date | - |
| Country | The name of the country member or partner of OECD or in accession negotiations with OECD | string | required : 1 |
| Country_Abbreviation | The abbreviated name of the country member or partner of OECD or in accession negotiations with OECD | string | required : 1 |
| Country_Status | Specifies whether the country is member or partner of OECD or has an accession agreement with OECD | string | enum : Array ( [0] => OECD member [1] => OECD partner [2] => Accession agreement ) required : 1 |
| Indicator_Category | Specifies a group of indicators related to the patients survival or mortality | string | enum : Array ( [0] => 5-year survival - Cancer [1] => Excess of mortality - Mental health disorders/diseases [2] => Suicide risk - Mental health disorders [3] => Mortality after admission - Cardio-vascular diseases ) required : 1 |
| Indicator | Specifies the indicator related to the patients survival or mortality | string | required : 1 |
| Measurement_Method | Describes how the indicator is measured | string | required : 1 |
| Disease_ICD_10_Codes | Specifies the disease codes described in the indicator measurement methodology | string | - |
| Gender | Specifies the gender of the demographic group for which the indicator is measured | string | enum : Array ( [0] => Males [1] => Females [2] => Both genders ) required : 1 |
| Age | Specifies the age of the demographic group for which the indicator is measured | string | enum : Array ( [0] => 0-14 years [1] => 15 years and over [2] => 45 years and over [3] => 15-74 years ) required : 1 |
| Indicator_Value | The estimated value of the indicator for the specified population group, year and country | number | level : Ratio |
| Upper_Value_95_Confidence_Level | The upper value of the 95% confidence interval of the estimated value of the indicator | number | level : Ratio |
| Lower_Value_95_Confidence_Level | The lower value of the 95% confidence interval of the estimated value of the indicator | number | level : Ratio |
| Additional_Notes | Additional information related to the indicator value or measurement | string | - |
Data Preview
| Data Year Or Survival 1st Year | Survival 5th Year | Country | Country Abbreviation | Country Status | Indicator Category | Indicator | Measurement Method | Disease ICD 10 Codes | Gender | Age | Indicator Value | Upper Value 95 Confidence Level | Lower Value 95 Confidence Level | Additional Notes |
| 2000 | 2004 | Australia | AUS | OECD member | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 86.5 | 89.1 | 83.8 | |
| 2000 | 2004 | Belgium | BEL | OECD member | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 80.4 | 91.0 | 69.8 | |
| 2000 | 2004 | Brazil | BRA | OECD partner | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 67.7 | 77.6 | 57.8 | |
| 2000 | 2004 | Canada | CAN | OECD member | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 91.0 | 93.3 | 88.8 | |
| 2000 | 2004 | Chile | CHL | OECD member | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 76.7 | 87.7 | 65.6 | |
| 2000 | 2004 | China (People's Republic of) | CHN | OECD partner | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 61.8 | 77.2 | 46.5 | |
| 2000 | 2004 | Colombia | COL | Accession agreement | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 52.3 | 61.2 | 43.5 | |
| 2000 | 2004 | Costa Rica | CRI | Accession agreement | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 98.0 | 100.0 | 93.8 | |
| 2000 | 2004 | Czech Republic | CZE | OECD member | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 88.0 | 93.1 | 82.9 | |
| 2000 | 2004 | Denmark | DNK | OECD member | 5-year survival - Cancer | Acute lymphoblastic leukaemia five year net survival | Age adjusted percent of survivors | C91.0 | Both genders | 0-14 years | 84.3 | 90.0 | 78.6 |
