Factors associated with cervical cancer screening participation among immigrants of Russian, Somali and Kurdish origin : a population-based study in Finland

Background: Previous studies revealed low participation in cervical cancer screening among immigrants compared with non-immigrants. Only a few studies about factors associated with immigrants' lower participation rates have been conducted in European countries that have universal access for all eligible women. Our study aimed to explore factors associated with cervical screening participation among women of Russian, Somali, and Kurdish origin in Finland. Methods: We used data from the Migrant Health and Well-being Survey, 2010-2012. Structured face-to-face interviews of groups of immigrants aged 25-60 yielded 620 responses concerning screening participation in the previous five years. Statistical analysis employed logistic regression. Results: The age-adjusted participation rates were as follows: among women of Russian origin 73.9% (95% CI 68.1-79.7), for Somalis 34.7% (95% CI 26.4-43.0), and for Kurds 61.3% (95% CI 55.0-67.7). Multiple logistic regressions showed that the most significant factor increasing the likelihood of screening participation among all groups was having had at least one gynecological check-up in the previous five years (Odds ratio [OR] = 6.54-26.2; p <0.001). Other factors were higher education (OR = 2.63; p = 0.014), being employed (OR = 4.31; p = 0.007), and having given birth (OR = 9.34; p= 0.014), among Kurds; and literacy in Finnish/Swedish (OR = 3.63; p = 0.003) among Russians. Conclusions: Our results demonstrate that women who refrain from using reproductive health services, those who are unemployed and less educated, as well as those with poor language proficiency, might need more information on the importance of screening participation. Primary and occupational healthcare services may have a significant role in informing immigrant women about this importance.Peer reviewe

Factors associated with cervical cancer screening participation among immigrants of Russian, Somali and Kurdish origin: a population-based study in Finland.

Previous studies revealed low participation in cervical cancer screening among immigrants compared with non-immigrants. Only a few studies about factors associated with immigrants' lower participation rates have been conducted in European countries that have universal access for all eligible women. Our study aimed to explore factors associated with cervical screening participation among women of Russian, Somali, and Kurdish origin in Finland. We used data from the Migrant Health and Well-being Survey, 2010-2012. Structured face-to-face interviews of groups of immigrants aged 25-60 yielded 620 responses concerning screening participation in the previous five years. Statistical analysis employed logistic regression. The age-adjusted participation rates were as follows: among women of Russian origin 73.9% (95% CI 68.1-79.7), for Somalis 34.7% (95% CI 26.4-43.0), and for Kurds 61.3% (95% CI 55.0-67.7). Multiple logistic regressions showed that the most significant factor increasing the likelihood of screening participation among all groups was having had at least one gynecological check-up in the previous five years (Odds ratio [OR] = 6.54-26.2; p < 0.001). Other factors were higher education (OR = 2.63; p = 0.014), being employed (OR = 4.31; p = 0.007), and having given birth (OR = 9.34; p = 0.014), among Kurds; and literacy in Finnish/Swedish (OR = 3.63; p = 0.003) among Russians. Our results demonstrate that women who refrain from using reproductive health services, those who are unemployed and less educated, as well as those with poor language proficiency, might need more information on the importance of screening participation. Primary and occupational healthcare services may have a significant role in informing immigrant women about this importance

From spatial ecology to spatial epidemiology: Modeling spatial distributions of different cancer types with principal coordinates of neighbor matrices

Epidemiology and ecology share many fundamental research questions. Here we describe how principal coordinates of neighbor matrices (PCNM), a method from spatial ecology, can be applied to spatial epidemiology. PCNM is based on geographical distances among sites and can be applied to any set of sites providing a good coverage of a study area. In the present study, PCNM eigenvectors corresponding to positive autocorrelation were used as explanatory variables in linear regressions to model incidences of eight most common cancer types in Finnish municipalities (n = 320). The dataset was provided by the Finnish Cancer Registry and it included altogether 615,839 cases between 1953 and 2010. Results: PCNM resulted in 165 vectors with a positive eigenvalue. The first PCNM vector corresponded to the wavelength of hundreds of kilometers as it contrasted two main subareas so that municipalities located in southwestern Finland had the highest positive site scores and those located in midwestern Finland had the highest negative scores in that vector. Correspondingly, the 165thPCNM vector indicated variation mainly between the two small municipalities located in South Finland. The vectors explained 13 - 58% of the spatial variation in cancer incidences. The number of outliers having standardized residual > |3| was very low, one to six per model, and even lower, zero to two per model, according to Chauvenet's criterion. The spatial variation of prostate cancer was best captured (adjusted r 2= 0.579). Conclusions: PCNM can act as a complementary method to causal modeling to achieve a better understanding of the spatial structure of both the response and explanatory variables, and to assess the spatial importance of unmeasured explanatory factors. PCNM vectors can be used as proxies for demographics and causative agents to deal with autocorrelation, multicollinearity, and confounding variables. PCNM may help to extend spatial epidemiology to areas with limited availability of registers, improve cost-effectiveness, and aid in identifying unknown causative agents, and predict future trends in disease distributions and incidences. A large advantage of using PCNM is that it can create statistically valid reflectors of real predictors for disease incidence models with only little resources and background information

Narrativity and its application in business ethics research

Purpose – The purpose of this paper is to develop a narrative framework for doing empirical research into business ethics and shows, through two examples, how the framework can be applied in practice in this context. The focus is on interview-based research. Design/methodology/approach – A theoretical research based on literature review was conducted. Findings – In the developed narrative framework, two main kinds of analysis are distinguished: an analysis of the narrative and a narrative analysis. An analysis of the narrative is a matter of classifying and producing taxonomies out of the data. The purpose of a narrative analysis is to construct a story or stories based on the data. Narrative analysis differs from the analysis of narratives in that the story does not exist prior to the analysis, but is created during the analysis. Research limitations/implications – The proposed narrative framework helps those doing empirical research into business ethics avoid simplistic “black and white” interpretations of their material, and helps them to show that ethical realities in the business world are often complex, various and multiple. Practical implications – The paper offers a methodological framework for those doing qualitative research into business ethics which will increase the quality and rigor of their studies. Originality/value – A value of the narrative approach is that the stories offer researchers an entry point to understanding the complexity of ethics and how people make sense of this complexity. The paper shows in detail how the methods presented can be used in practice in empirical research.peerReviewe