A Novel Indicator to Correct for Individual Reported Heterogeneity. An Application to Self-Evaluation of Later-Life Depression.

Program evaluations often investigate complex or multi-dimensional constructs, such as individual opinions or attitudes, by means of ratings. A different interpretation of the same question may affect cross-country comparability, leading to the Differential Item Functioning problem. Anchoring vignettes were introduced in the literature as a way to adjust self-evaluations from this interpersonal incomparability. In this paper, we first introduce a new nonparametric solution to analyse anchoring vignette data, recoding a variable based on a rating scale to a new corrected-variable that guarantees comparability in any cross-country analysis. Then, we exploit the flexibility of a mixture model introduced to account for uncertainty in the response process (the CUP model) to test if the proposed solution is effectively able to remove this reported heterogeneity. This solution is easy to construct and has important advantages compared with the original nonparametric solution adopted with anchoring vignette data. The novel indicator is applied to investigate self-reported depression in an old population. Data that will be analysed come from the second wave of the Survey of Health, Ageing and Retirement in Europe, collected in 2006/2007. Results highlight the need of correcting for reported heterogeneity comparing individual self-evaluations. Once interpersonal incomparability resulting from the different uses of response scales is removed from the self-assessments, some estimates are reversed in magnitude and signs with respect to the analysis of the collected data.

The value of supportive care: A systematic review of cost-effectiveness of non-pharmacological interventions for dementia.

BACKGROUND: Almost 44 million people are currently living with dementia worldwide. This number is set to increase threefold by 2050, posing a serious threat to the sustainability of healthcare systems. Overuse of antipsychotic drugs for the management of the symptoms of dementia carries negative consequences for patients while also increasing the health expenditures for society. Supportive care (SC) interventions could be considered a safer and potentially cost-saving option. In this paper we provide a systematic review of the existing evidence regarding the cost-effectiveness and cost-utility of SC interventions targeted towards persons living with dementia and their caregivers. METHODS: A systematic literature review was performed between February 2019 and December 2021 through searches of the databases PubMed (MEDLINE), Cochrane Library, CENTRAL, Embase and PsycINFO. The search strategy was based on PRISMA 2020 recommendations. We considered studies published through December 2021 with no lower date limit. We distinguished between five categories of SC strategies: cognitive therapies, physical activity, indirect strategies (organisational and environmental changes), interventions primarily targeted towards family caregivers, and multicomponent interventions. RESULTS: Of the 5,479 articles retrieved, 39 met the inclusion criteria. These studies analysed 35 SC programmes located at different stages of the dementia care pathway. Eleven studies provided evidence of high cost-effectiveness for seven interventions: two multicomponent interventions; two indirect interventions; two interventions aimed at caregivers of community-dwelling persons with dementia; one community-based cognitive stimulation and occupational programme. CONCLUSION: We find that the most promising SC strategies in terms of cost-effectiveness are multicomponent interventions (targeted towards both nursing home residents and day-care service users), indirect strategies (group living and dementia care management at home), some forms of tailored occupational therapy, together with some psychosocial interventions for caregivers of community-dwelling persons with dementia. Our results suggest that the adoption of effective SC interventions may increase the economic sustainability of dementia care.

Depression deterioration of older adults during the first wave of the COVID-19 outbreak in Europe.

RATIONALE: Determining who is particularly vulnerable to mental health deterioration during the COVID-19 pandemic is essential when designing and targeting interventions to mitigate the adverse psychological impacts of the outbreak. Older people have appeared to be less exposed to mental health deterioration compared with younger individuals, but most exposed to the risk of severe illness and death from the virus, as well as less equipped to use technologies for coping with lockdown measures. OBJECTIVE: Amongst the old population, we aim at determining how depressive symptoms have changed during the first wave of the COVID-19 pandemic and identifying individual risk factors associated with changes in reporting depression. We are particularly interested in exploring the role of pre-existing mental health problems and evaluating gender differences. METHOD: Data come from the Survey of Health, Ageing and Retirement in Europe, in particular from the first COVID-19 survey administered in summer 2020. Logistic models are estimated and Average Marginal Effects computed to take the degree of individual unobserved heterogeneity into account comparing point estimates across samples. Multiple Imputation (implemented through Multivariate Imputation by Chained Equations) is used to replace missing data. Statistical power of the effect sizes is estimated by a simulation approach. RESULTS: Pre-existing mental health problems, a diagnosis of affective/emotional disorders, a recent diagnosis of a major illness, and (only for men) job loss during the first wave of the outbreak are the most important risk factors. Statistical differences between genders emerge, with women experiencing higher levels of depression and greater worsening of mental health than men. CONCLUSIONS: To identify people at greater risk of depression deterioration during an outbreak it is very important to consider their pre-existing mental and general health, distinguishing severity level. On population level, it is also crucial to evaluate depression disorders separately by gender.

Voluntary private health insurance among the over 50s in Europe.

Using data from Survey of Health, Ageing and Retirement in Europe (SHARE), we investigate the determinants of voluntary private health insurance (VPHI) among the over 50s in 11 European countries and their effects on healthcare spending. First, we find that the main determinants of VPHI are different in each country, reflecting differences in the underlying healthcare systems, but in most countries, education levels and cognitive abilities have a strong positive effect on holding a VPHI policy. We also analyse the effect of holding a voluntary additional health insurance policy on out-of-pocket (OOP) healthcare spending. We adopt a simultaneous equations approach to control for self-selection into VPHI policy holding and find that, only in the Netherlands, VPHI policyholders have lower OOP spending than the rest of the population, whereas in some countries (Italy, Spain, Denmark and Austria), they spend significantly more. This could be due to not only increased utilisation but also cost-sharing measures adopted by the insurers to counter the effects of moral hazard and to keep adverse selection under control.

Age, Health and Life Satisfaction Among Older Europeans.

In this paper we investigate how age affects the self-reported level of life satisfaction among the elderly in Europe. By using a vignette approach, we find evidence that age influences life satisfaction through two counterbalancing channels. On the one hand, controlling for the effects of all other variables, the own perceived level of life satisfaction increases with age. On the other hand, given the same true level of life satisfaction, older respondents are more likely to rank themselves as "dissatisfied" with their life than younger individuals. Detrimental health conditions and physical limitations play a crucial role in explaining scale biases in the reporting style of older individuals.

Cross-Country Differentials in Work Disability Reporting Among Older Europeans.

Descriptive evidence shows that there is large cross-country variation in self-reported work disability rates of the elderly in Europe. In this paper we analyse whether these differences are genuine or they just reflect heterogeneity in reporting styles. To shed light on the determinants of work-disability differentials across countries, we combine a wide set of individuals' socioeconomic and health status characteristics with macro-economic indicators describing the institutional background of the country of residence.

Facial basal cell carcinoma: analysis of recurrence and follow-up strategies.

Rates of recurrence after incomplete surgical excision of basal cell carcinoma (BCC) range from 4 to 16.6% of analyzed cases. The aim of the present study was to identify the predictive factors associated with facial BBC recurrence following excision and their influences, in order to establish a proper therapeutic strategy. A monocentric retrospective study was performed reviewing all BCCs surgically excised at the Institute of Plastic Surgery, University of Padua, with particular focus on the involvement of surgical margins and recurrence. Seven hundred and nineteen lesions in 605 patients were studied. Correlations between recurrence probability and various characteristics of BCC were analyzed using a logistic regression model. It was observed that incomplete excision, deep margin involvement, the presence of sclerodermiform or metatypic basaloid squamous cells, as well as pleomorphous histological variants and/or peritumoral inflammatory infiltrates, were all related to an increase in the probability of recurrence. BCC excision must be followed by individualized management with particular consideration for the localization, the histological type and other known predisposing factors; the treatment strategy and, in particular, the length of the surveillance period and the frequency of patient assessment should be evaluated on the basis of the recurrence probability outlined.

[Multivariate analysis models of costs referable to general practitioners based on administrative databases]. / Modelli di analisi multivariata dei costi riferibili ai medici di medicina generale basati su database amministrativi.

OBJECTIVES: estimation of risk adjustment models based on administrative databases in order to describe the quality of care provided by General Practitioners in an ASL of the Veneto region. Particularly, it was tested whether some variables (routinely available) can describe the severity of casemix and the value of the "ticket exemption" database. METHODS: the main administrative databases of the ASL were linked through the unique personal health identifier and analyzed by means of multivariate techniques, using the tariff as the dependent variable; the explanatory ones are a number of variables describing health conditions. RESULTS: ticket exemptions, assumed as estimator of health conditions, resulted quite reliable in predicting costs, often better than the traditional sex and age. Further, for some activities, as for instance hospitalization, they almost completely explain variability among general practitioners. CONCLUSION: ticket exemptions can be considered good estimators of the prevalence of some conditions in the general population and very good predictors of the use of health resources. They could be easily improved in this respect introducing slight modifications. Data show a good level of appropriateness in the use of hospital resources by general practitioners.

Centering or not centering in multilevel models? The role of the group mean and the assessment of group effects.

In multilevel regression, centering the model variables produces effects that are different and sometimes unexpected compared with those in traditional regression analysis. In this article, the main contributions in terms of meaning, assumptions, and effects underlying a multilevel centering solution are reviewed, emphasizing advantages and critiques of this approach. In addition, in the spirit of Manski, contextual and correlated effects in a multilevel framework are defined to detect group effects. It is shown that the decision of centering in a multilevel analysis depends on the way the variables are centered, on whether the model has been specified with or without cross-level terms and group means, and on the purposes of the specific analysis.