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      Determinants of participation in a cardiometabolic health check among underserved groups

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          Abstract

          Cardiometabolic diseases affect underserved groups disparately. Participation in health checks is also lower, widening health inequalities in society. Two-stage screening (non-invasive health risk assessment (HRA) and GP consultations for high-risk individuals) seems cost-effective, provided that drop-out rates are low in both steps. We aimed to explore the process of decision-making regarding HRA participation among underserved groups (45–70 y): native Dutch with a lower socioeconomic status (SES), Turkish, Moroccan, and Surinamese participants. We conducted a cross-sectional questionnaire study. The questionnaire comprised the following determinants: a self-formulated first reaction, a structured set of predefined determinants, and the most important barrier(s) and facilitator(s) for HRA completion. We used univariable and (stepwise) multivariate logistic regression analyses to assess which determinants were associated with HRA completion. Of the 892 participants in the questionnaire, 78% (n = 696) also completed the HRA. Moroccans and patients from GP practices with a predominantly non-Western population less often completed the HRA. A lower SES score, wanting to know one's risk, not remembering receiving the invitation (thus requiring a phone call), fear of the test result and/or adjusting lifestyle, perceived control of staying healthy, wanting to participate, and perceiving no barriers were associated with completing the HRA. We conclude that our ‘hard-to-reach’ population may not be unwilling to participate in the HRA. A more comprehensive approach, involving key figures within a community informing people about and providing help completing the HRA, would possibly be more suitable. Efforts should be particularly targeted at the less acculturated immigrants with an external locus of control.

          Highlights

          • Participation is lowest in GP practices with a predominant non-Western population.

          • Patients are positive about a health check, whether they participate or not.

          • Still, about one quarter of patients does not participate in the health check.

          • These patients do not want to know their risk and lack control over staying healthy.

          • Telephone follow-up is crucial as patients forget receiving the written invitation.

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          Most cited references27

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          Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health.

          Previous studies of variation in the magnitude of socioeconomic inequalities in health between countries have methodological drawbacks. We tried to overcome these difficulties in a large study that compared inequalities in morbidity and mortality between different countries in western Europe. Data on four indicators of self-reported morbidity by level of education, occupational class, and/or level of income were obtained for 11 countries, and years ranging from 1985 to 1992. Data on total mortality by level of education and/or occupational class were obtained for nine countries for about 1980 to about 1990. We calculated odds ratios or rate ratios to compare a broad lower with a broad upper socioeconomic group. We also calculated an absolute measure for inequalities in mortality, a risk difference, which takes into account differences between countries in average rates of illhealth. Inequalities in health were found in all countries. Odds ratios for morbidity ranged between about 1.5 and 2.5, and rate ratios for mortality between about 1.3 and 1.7. For men's perceived general health, for instance, inequalities by level of education in Norway were larger than in Switzerland or Spain (odds ratios [95% CI]: 2.57 [2.07-3.18], 1.60 [1.30-1.96], 1.65 [1.44-1.88], respectively). For mortality by occupational class, in men aged 30-44, the rate ratio was highest in Finland (1.76 [1.69-1.83]), although there was no large difference in the size of the inequality in those countries with data. For men aged 45-59, for whom France did have data, this country had the largest inequality (1.71 [1.66-1.77]). In the age-group 45-64, the absolute risk difference ranked Finland second after France (9.8% [9.1-10.4], 11.5% [10.7-12.4]), with Sweden and Norway coming out more favourably than on the basis of rate ratios. In a scatter-plot of average rank scores for morbidity versus mortality. Sweden and Norway had larger relative inequalities in health than most other countries for both measures; France fared badly for mortality but was average for morbidity. Our results challenge conventional views on the between-country pattern of inequalities in health in western European countries.
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            The general public's information needs and perceptions regarding hereditary cancer: an application of the Integrated Change Model.

            The Integrated Change Model (the I-Change Model) was used to analyse the general public's need and perceptions concerning receiving information on the role of hereditary factors with regard to cancer. The results from a study in 457 Dutch adults showed that 25% correctly indicated the types of cancer where hereditary factors can play a role. Respondents, however, overestimated the role of hereditary factors causing breast cancer. Recognition of warning signs was low, as was the recognition of inheritance patterns. Participants wanted to know the types of cancer with hereditary aspects, how to recognise hereditary cancer in the family, personal risks and the steps to be taken when hereditary predisposition is suspected. The most popular information channels mentioned were leaflets, the general practitioner, and the Internet. Respondents interested in receiving information on heredity and cancer were more often female, had had experiences with hereditary diseases, had more knowledge, perceived more advantages, encountered more social support in seeking information, and had higher levels of self-efficacy. Education should outline the most important facts about hereditary cancer, how to get support, and create realistic expectations of the impact of genetic factors.
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              Ethnic inequalities in age- and cause-specific mortality in The Netherlands.

              By describing ethnic differences in age- and cause-specific mortality in The Netherlands we aim to identify factors that determine whether ethnic minority groups have higher or lower mortality than the native population of the host country. We used data for 1995-2000 from the municipal population registers and cause of death registry. All inhabitants of The Netherlands were included in the study. The mortality of people who themselves or whose parent(s) were born in Turkey, Morocco, Surinam, or the Dutch Antilles/Aruba was compared with that of the native Dutch population. Mortality differences were estimated by Poisson regression analyses and by directly standardized mortality rates. Compared with native Dutch men, mortality was higher among Turkish (relative risk [RR] = 1.21, 95% CI: 1.16, 1.26), Surinamese (RR = 1.24, 95% CI: 1.19, 1.29), and Antillean/Aruban (RR = 1.25, 95% CI: 1.15, 1.36) males, and lower among Moroccan males (RR = 0.85, 95% CI: 0.81, 0.90). Among females, inequalities in mortality were small. In general, mortality differences were influenced by socio-economic and marital status. Most minority groups had a high mortality at young ages and low mortality at older ages, a high mortality from ill-defined conditions (which is related to mortality abroad) and external causes, and a low mortality from neoplasms. Cardiovascular disease mortality was low among Moroccan males (RR = 0.51, 95% CI: 0.44, 0.59) and high among Surinamese males (RR = 1.13, 95% CI: 1.05, 1.21) and females (RR = 1.14, 95% CI: 1.06, 1.23). Homicide mortality was elevated in all groups. Socio-economic factors and marital status were important determinants of ethnic inequalities in mortality in The Netherlands. Mortality from cardiovascular diseases, homicide, and mortality abroad were of particular importance for shifting the balance from high towards low all-cause mortality.
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                Author and article information

                Contributors
                Journal
                Prev Med Rep
                Prev Med Rep
                Preventive Medicine Reports
                Elsevier
                2211-3355
                30 April 2016
                December 2016
                30 April 2016
                : 4
                : 33-43
                Affiliations
                [a ]Leiden University Medical Center, Department of Public Health and Primary Care, Hippocratespad 21, PO Box 9600, V0-P, 2300 RC Leiden, The Netherlands
                [b ]Leiden University, Department of Social Sciences, Institute for Psychology, Health, Medical, and Neuropsychology, Pieter de la Court Building, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands
                [c ]Radboud University Medical Center, Department of Primary and Community Care, Nijmegen, The Netherlands
                [d ]Leiden University Medical Center, Department of Medical Decision Making, 2300 RC Leiden, The Netherlands
                Author notes
                [* ]Corresponding author at: Leiden University Medical Center, Department of Public Health and Primary Care, Hippocratespad 21, 2300 RC Leiden, the Netherlands.Leiden University Medical CenterDepartment of Public Health and Primary CareHippocratespad 21Leiden2300 RCthe Netherlands i.groenenberg@ 123456lumc.nl
                Article
                S2211-3355(16)30028-6
                10.1016/j.pmedr.2016.04.009
                4929048
                27413659
                7677414f-9d0b-4c70-a35e-eefdfc8f605f
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 19 October 2015
                : 24 April 2016
                : 29 April 2016
                Categories
                Regular Article

                cardiometabolic disease (cardiovascular disease, diabetes, and kidney disease),participation in two-stage screening,primary care,underserved, high-risk populations

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