IntroductionA new third version of the Copenhagen Psychosocial Questionnaire (COPSOQ III) has been developed in response to trends in working life, theoretical concepts, and international experience. A key component of the COPSOQ III is a defined set of mandatory core items to be included in national short, middle, and long versions of the questionnaire. The aim of the present article is to present and test the reliability of the new international middle version of the COPSOQ III.MethodsThe questionnaire was tested among 23,361 employees during 2016–2017 in Canada, Spain, France, Germany, Sweden, and Turkey. A total of 26 dimensions (measured through scales or single items) of the middle version and two from the long version were tested. Psychometric properties of the dimensions were assessed regarding reliability (Cronbach α), ceiling and floor effects (fractions with extreme answers), and distinctiveness (correlations with other dimensions).ResultsMost international middle dimensions had satisfactory reliability in most countries, though some ceiling and floor effects were present. Dimensions with missing values were rare. Most dimensions had low to medium intercorrelations.ConclusionsThe COPSOQ III offers reliable and distinct measures of a wide range of psychosocial dimensions of modern working life in different countries; although a few measures could be improved. Future testing should focus on validation of the COPSOQ items and dimensions using both qualitative and quantitative approaches. Such investigations would enhance the basis for recommendations using the COPSOQ III.

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Objective:This study aimed to determine the correlates of in-hospital costs for angina pectoris (AP), myocardial infarction (MI), and heart failure (HF) in a university hospital setting.Methods:This is a retrospective cost-of-illness study using data from the records of patients who were admitted with AP, MI, or HF to Dokuz Eylül University Hospital during 2008. Direct medical costs were calculated from the Social Security Institute perspective using a bottom-up approach. Socio-demographic and clinical information was abstracted from patient files. Costs were presented in Turkish lira (TL). A generalized linear model was used in the multivariate analysis.Results:We included 337 in-patients in total in the study. AP was present in 26.4% (n=89), MI was present in 55.8% (n=188), and HF was present in 17.8% (n=60) of patients. MI was the most costly disease (2760 TL), followed by HF (2350 TL) and AP (1881 TL). The largest proportion of the total cost was formed by medical interventions (27.5%), followed by surgery (22.2%). Presence of DM, smoking, diagnosis of MI, HF, need for intensive care, and resulting in death were strong predictors of treatment costs.Conclusion:Both preadmission characteristics of patients (diabetes mellitus, smoking, use of anti-aggregant before admission) and in-patient characteristics (diagnosis, coronary artery bypass grafting, intensive care need, death) predicted the hospital cost of cardiovascular diseases (CVDs) independently. Our results may be used as input for health-economic models and economic evaluations to support the decision-making of reimbursement and the cost-effectiveness of public health interventions in healthcare.

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