Predictors of non-attendance in a population-based mammography screening programme; socio-demographic factors and aspects of health behaviour

2000 ◽  
Vol 9 (1) ◽  
pp. 25-34 ◽  
Author(s):  
M Lagerlund ◽  
P Sparén ◽  
E Thurfjell ◽  
A Ekbom ◽  
M Lambe
1994 ◽  
Vol 1 (3) ◽  
pp. 184-187 ◽  
Author(s):  
Sven Törnberg ◽  
John Carstensen ◽  
Timo Hakulinen ◽  
Per Lenner ◽  
Thomas Hatschek ◽  
...  

To evaluate, by analysis of breast cancer mortality data from all the 26 Swedish counties for the years 1971 to 1990, whether the effect of the introduction of mammography screening in Sweden can be assessed by observation from existing mortality data. A Poisson regression model was used to study whether a decrease in breast cancer mortality among women aged 50–74 years was associated with the extent of mammography screening in different counties and periods. In regions where mammography screening had been introduced, breast cancer mortality tended to be decreased, on average, compared with regions with-'out screening. If a 10 year time lag between the start of screening and its full effect on mortality is assumed then the estimated reduction in breast cancer mortality associated with introduction of screening was 19% with a 95% confidence interval ranging from 3% to 37%. The results suggest that the effect of mammography screening may be studied using existing routine mortality data and appropriate statistical modelling. This way of assessing the outcome of the screening is valuable when continuously monitoring a screening programme that has become a public health routine.


2019 ◽  
Vol 120 (7) ◽  
pp. 773-774
Author(s):  
Deependra Singh ◽  
Joonas Miettinen ◽  
Stephen Duffy ◽  
Nea Malila ◽  
Janne Pitkäniemi ◽  
...  

2009 ◽  
Vol 11 (2) ◽  
pp. 97-104 ◽  
Author(s):  
César Fernández-de-las-Peñas ◽  
Valentín Hernández-Barrera ◽  
Pilar Carrasco-Garrido ◽  
Cristina Alonso-Blanco ◽  
Domingo Palacios-Ceña ◽  
...  

2010 ◽  
Vol 2 (3) ◽  
pp. 154-157 ◽  
Author(s):  
Gholamreza Veghari ◽  
Mehdi Sedaghat ◽  
Hamidreza Joshaghani ◽  
Sed Ahmad Hoseini ◽  
Farhad Niknezad ◽  
...  

2013 ◽  
Vol 57 (3) ◽  
pp. 389-397 ◽  
Author(s):  
Tamires Carneiro de Oliveira ◽  
Diviane Alves da Silva ◽  
Yan Nogueira Leite de Freitas ◽  
Romerito Lins da Silva ◽  
Carla Patrícia de Castro Pegado ◽  
...  

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e017264 ◽  
Author(s):  
Kednapa Thavorn ◽  
Colleen J Maxwell ◽  
Andrea Gruneir ◽  
Susan E Bronskill ◽  
YuQing Bai ◽  
...  

ObjectivesTo estimate the attributable costs of multimorbidity and assess whether the association between the level of multimorbidity and health system costs varies by socio-demographic factors in young (<65 years) and older (≥65 years) adults living in Ontario, Canada.DesignA population-based, retrospective cohort studySettingThe province of Ontario, CanadaParticipants6 639 089 Ontarians who were diagnosed with at least one of 16 selected medical conditions on 1 April 2009.Main outcome measuresFrom the perspective of the publicly funded healthcare system, total annual healthcare costs were derived from linked provincial health administrative databases using a person-level costing method. We used generalised linear models to examine the association between the level of multimorbidity and healthcare costs and the extent to which socio-demographic variables modified this association.ResultsAttributable total costs of multimorbidity ranged from C$377 to C$2073 for young individuals and C$1026 to C$3831 for older adults. The association between the degree of multimorbidity and healthcare costs was significantly modified by age (p<0.001), sex (p<0.001) and neighbourhood income (p<0.001) in both age groups, and the positive association between healthcare costs and levels of multimorbidity was statistically stronger for older than younger adults. For individuals aged 65 years or younger, the increase in healthcare costs was more gradual in women than in their male counterparts, however, for those aged 65 years or older, the increase in healthcare costs was significantly greater among women than men. Lastly, we also observed that the positive association between the level of multimorbidity and healthcare costs was significantly greater at higher levels of marginalisation.ConclusionSocio-demographic factors are important effect modifiers of the relationship between multimorbidity and healthcare costs and should therefore be considered in any discussion of the implementation of healthcare policies and the organisation of healthcare services aimed at controlling healthcare costs associated with multimorbidity.


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