Search

The dramatic growth in health expenditures is an important health policy concern worldwide. Therefore, understanding the factors that increase health expenditures provides policy makers with evidence for decision-making. We aim to examine long-term effects of carbon dioxide emission, urbanization rate and GDP per capita on health expenditures. This study investigates the effect of carbon dioxide emission, urban population, and GDP per capita on health expenditure for 21 OECD countries over the period 1992–2018. Panel ARDL Approach and Gengenbach, Urbain and Westerlund Panel Co-integration Test have been used in the article. Test results indicate the long-run relationship among health expenditure and carbon dioxide emission, urban population, and GDP per capita. Effect of carbon dioxide emission (CO2), urban population, and GDP per capita is significant and positive on health expenditure. Rapid economic growths of OECD countries recently and environmental pollution have increased health expenditures in the long term. [ABSTRACT FROM AUTHOR]

Objectives: To develop a patient's attitude questionnaire regarding prevention in oral health for use internationally. Methods: Using a mixed methods approach, a questionnaire was developed and refined as part of ADVOCATE (Added Value for Oral Care) study, involving partners in six countries: Netherlands, Hungary, Denmark, Ireland, Germany, and the UK. A literature review explored the history of oral healthcare delivery systems to develop a template for each of the six ADVOCATE countries. A systematic review identified the perceived barriers and facilitators to preventive oral healthcare and underpinned a topic guide and established the patient questionnaire domains. Focus groups in each ADVOCATE country developed the first version of the questionnaire. Patient and Public Involvement and Engagement (PPIE) in each ADVOCATE country tested the questionnaire and led to further refinement. The questionnaire was produced in five languages. Content validity and reproducibility used principal component analysis (PCA) and exploratory factor analysis (EFA) refined the questionnaire. Results: The literature review aided an understanding of each country's oral healthcare system, and the findings from the 25 studies identified in the systematic review found the main barriers/facilitators to preventive oral healthcare were cost, knowledge (preventive treatments and advice), and a patient awareness and adherence to preventive advice/treatments. Interviews and focus groups with 148 participants in the ADVOCATE study identified receiving the appropriate level of care/feeling valued, cost, level of motivation/priority, not feeling informed, knowledge, and skill mix as the main barriers/facilitators. Fifty‐three PPIE members refined the questionnaire. The pilot questionnaire was tested with 160 participants. Non‐essential or highly correlated variables were then removed, leaving 38 items, covering 6 domains (cost, advice received, advice wanted, message delivery, motivation, knowledge, and responsibility) within the questionnaire. A second pilot test‐run was undertaken with 185 participants. The test‐re‐test reliability demonstrated strong consistency of responses between the two time points (kappa range 0.3–0.7, most p <.0011), which culminated with a final version of the Patient Attitudes to Prevention in Oral Health Questionnaire (PAPOH) questionnaire. Conclusions: This mixed‐methods approach enabled the development of a multi‐language attitudinal questionnaire for use with patients (PAPOH) to compare attitudes to oral disease prevention internationally. [ABSTRACT FROM AUTHOR]

Objectives:To identify caregiver profiles of persons with mild to moderate dementia and to investigate differences between identified caregiver profiles, using baseline data of the international prospective cohort study Actifcare. Methods:A latent class analysis was used to discover different caregiver profiles based on disease related characteristics of 453 persons with dementia and their 453 informal caregivers. These profiles were compared with regard to quality of life (CarerQoL score), depressive symptoms (HADS-D score) and perseverance time. Results:A 5-class model was identified, with the best Bayesian Information Criterion value, significant likelihood ratio test (p< 0.001), high entropy score (0.88) and substantive interpretability. The classes could be differentiated on two axes: (i) caregivers' age, relationship with persons with dementia, severity of dementia, and (ii) tendency towards stress and difficulty adapting to stress. Classes showed significant differences with all dependent variables, and were labelled ‘older low strain’, ‘older intermediate strain’, ‘older high strain’, ‘younger low strain’ and ‘younger high strain’. Conclusion:Differences exist between types of caregivers that explain variability in quality of life, depressive symptoms and perseverance time. Our findings may give direction for tailored interventions for caregivers of persons with dementia, which may improve social health and reduce health care costs. [ABSTRACT FROM PUBLISHER]

Objective:To (1) examine the opinions of medical staff working in spinal cord injury (SCI) centres (SCICs); (2) evaluate their knowledge, attitudes and practices towards obesity prevention and management; (3) report the number of beds and dietitians available at each SCIC.Methods:A 37-item questionnaire was sent to 23 SCICs in the UK, the Netherlands, Belgium and the Republic of Ireland between September 2012 and January 2013.Results:Eighteen SCICs returned the questionnaires for analysis. All respondents stated that they had an interest in obesity treatment but only 2.3% of the respondents received training in obesity management. Sixty-one percent of staff did not consider body mass index (BMI) to be appropriate for use in SCI patients and subsequently less than half of the respondents use BMI routinely. The majority of respondents reported that they are confident in dealing with overweight (74.5%) and obese (66.1%) SCI adults, less than half (44.1%) are confident in treating overweight and obese SCI children. Respondents also indicated the need for nationally adopted guidelines and a lack of physical activity provision. There were 17.5 whole-time equivalent (WTE) dietitians recorded in 22 SCICs, equivalent to 47.8 beds per WTE dietitians (range 10-420). Non-UK SCIC dietitians are significantly better resourced than in UK SCICs (beds per WTE dietitian: 36 vs 124, P=0.035).Conclusion:Medical staff expressed the need to participate in obesity prevention and management. Appropriate training should be considered for all medical staff and the development of specific weight management guidelines and dietetic provision should be considered. [ABSTRACT FROM AUTHOR]

Objectives To measure changes in prevalence and predictors of home smoking bans (HSBs) among smokers in four European countries after the implementation of national smoke-free legislation. Design Two waves of the International Tobacco Control Policy Evaluation Project Europe Surveys, which is a prospective panel study. Pre- and post-legislation data were used from Ireland, France, Germany and the Netherlands. Two pre-legislation waves from the UK were used as control. Participants 4634 respondents from the intervention countries and 1080 from the control country completed both baseline and follow-up and were included in the present analyses. Methods Multiple logistic regression models to identify predictors of having or of adopting a total HSB, and Generalised Estimating Equation models to compare patterns of change after implementation of smoke-free legislation to a control country without such legislation. Results Most smokers had at least partial smoking restrictions in their home, but the proportions varied significantly between countries. After implementation of national smoke-free legislation, the proportion of smokers with a total HSB increased significantly in all four countries. Among continuing smokers, the number of cigarettes smoked per day either remained stable or decreased significantly. Multiple logistic regression models indicated that having a young child in the household and supporting smoking bans in bars were important correlates of having a pre-legislation HSB. Prospective predictors of imposing a HSB between survey waves were planning to quit smoking, supporting a total smoking ban in bars and the birth of a child. Generalised Estimating Equation models indicated that the change in total HSB in the intervention countries was greater than that in the control country. Conclusions The findings suggest that smoke-free legislation does not lead to more smoking in smokers' homes. On the contrary, our findings demonstrate that smoke-free legislation may stimulate smokers to establish total smoking bans in their homes. [ABSTRACT FROM AUTHOR]