Declining Amenable Mortality: Time Trend (2000-2013) and Geographic Area Analysis

Maria Michela Gianino, Jacopo Lenzi, Aida Muça, Maria Pia Fantini, Roberta Siliquini, Walter Ricciardi, Gianfranco Damiani

Risultato della ricerca: Contributo in rivistaArticolo in rivista

8 Citazioni (Scopus)

Abstract

OBJECTIVE: To update amenable mortality in 32 OECD countries at 2013 (or last available year), to describe the time trends during 2000-2013, and to evaluate the association of these trends with various geographic areas. DATA SOURCES: Secondary data from 32 countries during 2000-2013, gathered from the World Health Organization Mortality Database. STUDY DESIGN: Time trend analysis. DATA COLLECTION: Using Nolte and McKee's list, age-standardized amenable mortality rates (SDRs) were calculated as the annual number of deaths over the population aged 0-74 years per 100,000 inhabitants. We performed a mixed-effects polynomial regression analysis on the annual SDRs to determine whether specific geographic areas were associated with different SDR trajectories over time. PRINCIPAL FINDINGS: The OECD average annual decrease was 3.6/100,000 (p < .001), but slowed over time (coefficient for the quadratic term = 0.11, p < .001). Eastern and Atlantic European countries had the steepest decline (-6.1 and -4.7, respectively), while Latin American countries had the lowest slope (-1.7). The OECD average annual decline during the 14-year period was -0.5 (p < .001) for cancers and -2.5 (p < .001) for cardiovascular diseases, with significant differences among countries. CONCLUSION: Declining trend of amenable SDRs was continuing to 2013 but with steepness change compared with previous periods and with a slowdown.
Lingua originaleEnglish
pagine (da-a)1908-1927
Numero di pagine20
RivistaHealth Services Research
Volume2017
DOI
Stato di pubblicazionePubblicato - 2017

Keywords

  • Amenable mortality
  • OECD countries
  • geographic area
  • health care services performance

Fingerprint

Entra nei temi di ricerca di 'Declining Amenable Mortality: Time Trend (2000-2013) and Geographic Area Analysis'. Insieme formano una fingerprint unica.

Cita questo