Related Experiment Video
Updated: Feb 19, 2026
06:55
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
15.4K
[Changes in cause-of-death statistics as a consequence of automated coding]
1Centraal Bureau voor de Statistiek, Taakgroep Gezondheid en Welzijn, Den Haag.
Nederlands Tijdschrift Voor Geneeskunde
|November 4, 2017
Summary
Statistics Netherlands (CBS) now uses automated cause of death coding (IRIS), impacting mortality statistics. This shift reveals increases in dementia, CVA, infectious diseases, and risk factors as underlying causes of death.
Area of Science:
- Public Health
- Medical Informatics
- Mortality Statistics
Background:
- Traditional manual coding of death certificates in the Netherlands spanned over a century.
- Statistics Netherlands (CBS) transitioned to an automated system for cause of death coding in 2013.
- This methodological change necessitates re-evaluation of historical mortality data.
Purpose of the Study:
- To analyze the impact of automated cause of death coding on reported mortality frequencies.
- To identify significant changes in the underlying causes of death following the implementation of the IRIS system.
- To inform researchers, policymakers, and clinicians about coding-related shifts in death statistics.
Main Methods:
- Comparison of cause of death data before and after the 2013 system change.
- Analysis of frequency changes for specific causes of death.
- Utilized the IRIS (Integrated Register Information System) for automated coding.
Main Results:
- Significant increases observed in dementia (23%), Cerebrovascular Accident (CVA) (11%), infectious diseases (43%), and risk factors (48%) as underlying causes of death.
- Automated coding led to a notable shift in the distribution of causes of death.
- The transition highlights discrepancies between manual and automated coding methodologies.
Conclusions:
- The introduction of the IRIS automated coding system has altered the landscape of reported causes of death in the Netherlands.
- Observed increases in specific causes like dementia and infectious diseases are partly attributable to the new coding method.
- Users of mortality data must consider the impact of this methodological shift when interpreting trends and conducting international comparisons.
Related Concept Videos
01:09Censoring Survival Data
598
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
598
01:10Documentation of Nursing Diagnosis
1.8K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.8K
01:20Actuarial Approach
325
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
325
01:23Methods of Documentation V: CBE
1.5K
Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
1.5K
01:15Assumptions of Survival Analysis
448
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
448
01:25Statistical Methods for Analyzing Epidemiological Data
1.0K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.0K