[On a problem of multiple causes of death]

V K Ovcharov1, E A Tishuk, V P Pospelov

  • 1NII sotsial'noi gigieny, ekonomiki i upravleniia zdravookhraneniem im. Semashko, RAMN, Moskva

Problemy Sotsial'Noi Gigieny I Istoriia Meditsiny
|May 1, 1994
PubMed

Insights

Analyzing multiple causes of death in Kursk (1991) reveals patterns in combined pathology. This data aids in planning specialized public health care for the Russian population.

Area of Science:

  • Public Health
  • Epidemiology
  • Medical Statistics

Context:

  • The study examines combined pathology using mortality data from Kursk, Russia, in 1991.
  • Analysis includes 4381 death records, considering age, sex, and various causes of death.
  • Focuses on primary cause, complications, direct cause, and concomitant conditions.

Purpose:

  • To analyze the structure of multiple causes of death.
  • To provide a scientific basis for public health planning and organization.
  • To understand the interplay of various factors in mortality.

Summary:

  • Investigated 4381 death records from Kursk (1991) to understand combined pathology.
  • Analyzed demographic factors (age, sex) and etiological factors (primary, direct, concomitant causes).
  • Identified patterns in multiple causes of death for public health insights.

Impact:

  • Provides a data-driven foundation for organizing specialized healthcare in Russia.
  • Enhances understanding of complex mortality patterns for targeted interventions.
  • Supports evidence-based public health policy development.

Related Concept Videos

Overview of Cell Death01:30

Overview of Cell Death

Cell death is an essential process where the body gets rid of old or damaged cells. Cell proliferation and death need to be balanced, as an imbalance between the two may lead to cancer or autoimmune diseases.
Cell death was observed in the early 19th century, but there was no experimental evidence to prove it. In 1842, Carl Vogt first discovered cell death in a metamorphic toad; however, it was not termed ‘cell death.’ Scientists discovered different cell death pathways only in the 20th century...
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

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 assessment...
Imbalances in Cardiac Output01:26

Imbalances in Cardiac Output

The heart's primary function is to pump blood throughout the body, maintaining a balance between blood sent out (cardiac output) and blood returning (venous return). If this balance is disrupted, it can result in congestive heart failure (CHF), a severe condition where the heart becomes an inefficient pump, leading to inadequate blood circulation.
CHF can occur due to the failure of either side of the heart. Left-side failure leads to pulmonary congestion—the right side continues to send blood...
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...