Literature DB >> 27704525

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

Maria Michela Gianino1, Jacopo Lenzi2, Aida Muça1, Maria Pia Fantini2, Roberta Siliquini3, Walter Ricciardi4, Gianfranco Damiani4.   

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. © Health Research and Educational Trust.

Entities:  

Keywords:  Amenable mortality; OECD countries; geographic area; health care services performance

Mesh:

Year:  2016        PMID: 27704525      PMCID: PMC5583294          DOI: 10.1111/1475-6773.12563

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  27 in total

1.  Avoidable mortality in New Zealand, 1981-97.

Authors:  M Tobias; G Jackson
Journal:  Aust N Z J Public Health       Date:  2001       Impact factor: 2.939

2.  Measuring the health of nations: analysis of mortality amenable to health care.

Authors:  Ellen Nolte; Martin McKee
Journal:  BMJ       Date:  2003-11-15

3.  Black/white comparisons of deaths preventable by medical intervention: United States and the District of Columbia 1980-1986.

Authors:  E Schwartz; V Y Kofie; M Rivo; R V Tuckson
Journal:  Int J Epidemiol       Date:  1990-09       Impact factor: 7.196

4.  How much does health care contribute to health gain and to health inequality? Trends in amenable mortality in New Zealand 1981-2004.

Authors:  Martin Tobias; Li-Chia Yeh
Journal:  Aust N Z J Public Health       Date:  2009-02       Impact factor: 2.939

5.  Variations in amenable mortality--trends in 16 high-income nations.

Authors:  Ellen Nolte; Martin McKee
Journal:  Health Policy       Date:  2011-09-13       Impact factor: 2.980

6.  The effect of health services on mortality: decline in death rates from amenable and non-amenable causes in Finland, 1969-81.

Authors:  K Poikolainen; J Eskola
Journal:  Lancet       Date:  1986-01-25       Impact factor: 79.321

7.  In amenable mortality--deaths avoidable through health care--progress in the US lags that of three European countries.

Authors:  Ellen Nolte; C Martin McKee
Journal:  Health Aff (Millwood)       Date:  2012-08-29       Impact factor: 6.301

8.  Black-white differences in avoidable mortality in the USA, 1980-2005.

Authors:  J Macinko; I T Elo
Journal:  J Epidemiol Community Health       Date:  2009-04-12       Impact factor: 3.710

9.  Regional and social class variation in the relative risk of death from amenable causes in the city of Helsinki, 1980-1986.

Authors:  K Poikolainen; J Eskola
Journal:  Int J Epidemiol       Date:  1995-02       Impact factor: 7.196

10.  Analysing recent socioeconomic trends in coronary heart disease mortality in England, 2000-2007: a population modelling study.

Authors:  Madhavi Bajekal; Shaun Scholes; Hande Love; Nathaniel Hawkins; Martin O'Flaherty; Rosalind Raine; Simon Capewell
Journal:  PLoS Med       Date:  2012-06-12       Impact factor: 11.069

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  6 in total

1.  Avoidable deaths in Sweden, 1997-2018: temporal trend and the contribution to the gender gap in life expectancy.

Authors:  Ali Kiadaliri
Journal:  BMC Public Health       Date:  2021-03-17       Impact factor: 3.295

2.  Organized screening programmes for breast and cervical cancer in 17 EU countries: trajectories of attendance rates.

Authors:  Maria Michela Gianino; Jacopo Lenzi; Marco Bonaudo; Maria Pia Fantini; Roberta Siliquini; Walter Ricciardi; Gianfranco Damiani
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3.  Patterns of amenable child mortality over time in 34 member countries of the Organisation for Economic Co-operation and Development (OECD): evidence from a 15-year time trend analysis (2001-2015).

Authors:  Maria Michela Gianino; Jacopo Lenzi; Marco Bonaudo; Maria Pia Fantini; Roberta Siliquini; Walter Ricciardi; Gianfranco Damiani
Journal:  BMJ Open       Date:  2019-05-22       Impact factor: 2.692

4.  Preventable Mortality in Regions of Slovakia-Quantification of Regional Disparities and Investigation of the Impact of Environmental Factors.

Authors:  Beata Gavurova; Peter Toth
Journal:  Int J Environ Res Public Health       Date:  2019-04-17       Impact factor: 3.390

5.  A composite neonatal adverse outcome indicator using population-based data: an update.

Authors:  S Todd; J Bowen; I Ibiebele; J Patterson; S Torvaldsen; F Ford; M Nippita; J Morris; D Randall
Journal:  Int J Popul Data Sci       Date:  2020-08-12

6.  Mortality amenable to healthcare in Latin American cities: a cross-sectional study examining between-country variation in amenable mortality and the role of urban metrics.

Authors:  Pricila H Mullachery; Daniel A Rodriguez; J Jaime Miranda; Nancy López-Olmedo; Kevin Martinez-Folgar; Mauricio L Barreto; Ana V Diez Roux; Usama Bilal
Journal:  Int J Epidemiol       Date:  2022-02-18       Impact factor: 7.196

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