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[Analysis of avoidable mortality in Valencia Community hospitals]

D Bautista Rentero1, J L Alfonso Sánchez, C Saiz Sánchez

  • 1Unidad de Medicina Preventiva, Hospital Malva-Rosa, Valencia. bautista_dan@gva.es

Revista Clinica Espanola
|May 11, 2001
PubMed

Insights

This study identified avoidable mortality (AM) in Valencia, Spain. Key factors included hypertension, cerebrovascular disease, and maternal-perinatal conditions, with higher risks observed in men and specific age groups.

Area of Science:

  • Public Health
  • Healthcare Quality
  • Epidemiology

Background:

  • Assessing avoidable mortality (AM) is crucial for evaluating healthcare system performance.
  • The Holland classification provides a framework for identifying indicators of medical care (IMC) related to AM.
  • Previous studies have highlighted the need for localized data on AM to inform targeted interventions.

Purpose of the Study:

  • To analyze avoidable mortality (AM) in the Valencia Community hospitals between 1994 and 1995.
  • To identify the primary causes of AM and associated risk factors within the study population.
  • To provide data for improving the quality of medical care and reducing preventable deaths.

Main Methods:

  • Utilized a list of avoidable mortality (AM) causes as indicators of medical care (IMC).
  • Conducted a retrospective study of hospital discharge data from Valencia Community hospitals for 1994-1995.
  • Employed logistic regression analysis to identify risk factors associated with AM.

Main Results:

  • A total of 617 deaths (0.58% mortality rate) met the avoidable mortality (AM) criteria out of 106,540 discharges.
  • Hypertension and cerebrovascular diseases were the leading causes of AM (46%), followed by maternal-perinatal diseases (36%) and tuberculosis (7%).
  • Increased risk of AM was associated with being male, age groups over 50 years and under 18 years, and a higher number of diagnoses.

Conclusions:

  • Significant avoidable mortality (AM) was identified in the Valencia Community hospitals during the study period.
  • Specific conditions like hypertension, cerebrovascular disease, and maternal-perinatal issues require focused attention.
  • Demographic and clinical factors, including sex, age, and comorbidity, significantly influence the risk of avoidable mortality (AM).

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