Search results for "terveystarkastukset"

showing 3 items of 3 documents

Non-participation modestly increased with distance to the examination clinic among adults in Finnish health examination surveys

2018

Aims: Health examination surveys (HES) provide important information about population health and health-related factors, but declining participation rates threaten the representativeness of collected data. It is hard to conduct national HESs at examination clinics near to every sampled individual. Thus, it is interesting to look into the possible association between the distance from home to the examination clinic and non-participation, and whether there is a certain distance after which the participation activity decreases considerably. Methods: Data from two national HESs conducted in Finland in 2011 and 2012 were used and a logistic regression model was fitted to investigate how distanc…

GerontologyAdultMaleväestöPopulation healthLogistic regressionRepresentativeness heuristicHealth Services Accessibility03 medical and health sciencesHealth examination0302 clinical medicineNon participationBiasetäisyysMedicineHumans030212 general & internal medicinedistanceFinlandAgedhealth examination surveyosallistuminenta112business.industry030503 health policy & servicesPublic Health Environmental and Occupational Healthnon-participationGeneral Medicineta3142Middle AgedterveystutkimusHealth Care SurveysFemaletutkimusPatient Participation0305 other medical sciencebusinessterveystarkastuksetterveyssurvey-tutkimus
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Työttömän asiakkaan palvelu- ja ohjausmalli terveyden edistämisen työmenetelmänä : hoitajien näkökulma

2008

empowermenthoitohenkilöstöarviointitutkimustoimintamallittyöttömyysterveystarkastuksetterveyden edistäminen
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Statistical modelling of selective non-participation in health examination surveys

2018

Health examination surveys aim to collect reliable information on the health and risk factors of a population of interest. Missing data occur when some invitees do not participate the survey. If non-participation is associated with the variables to be studied, then the estimates based only on the participants cannot be generalised to the population of interest. In this case, the estimates have selection bias, which misleads the decision-makers. The purpose of this thesis is to develop statistical methods to reduce the selection bias in the cross-sectional data using additional data sources. The data, which we use, comes from the National FINRISK Study, and we aim to estimate the prevalences…

valikoituminenosallistujatvalintaharhahealth examination surveysbayesilainen menetelmätilastomenetelmätselection biasterveystarkastuksetimputointisurvey-tutkimus
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