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Background: Potentially inappropriate polypharmacy (PIP) is among the major factors leading to adverse drug reactions, increased healthcare costs, reduced medication adherence, and worsened patient conditions. This study aims to identify existing interventions implemented to monitor and manage polypharmacy in the Italian setting. Methods: A systematic literature review (PROSPERO: CRD42023457049) was carried out according to the PRISMA statement guidelines. PubMed, Embase, ProQuest, and Web of Science were queried without temporal constraints, encompassing all published papers until October 2023. Inclusion criteria followed the PICO model: patients with polypharmacy; interventions to monitor/manage polypharmacy regimen versus no/any intervention; outcomes in terms of intervention effectiveness and cost variation. Results: After duplicate deletion, 153 potentially relevant publications were extracted. Following abstract and full-text screenings, nine articles met the inclusion criteria. Overall, 78% (n = 7) were observational studies, 11% (n = 1) were experimental studies, and 11% (n = 1) were two-phase studies. A total of 44% (n = 4) of the studies involved patients aged ≥ 65 years, while 56% (n = 5) were disease-specific. Monitoring was the most prevalent choice of intervention (67%; n = 6). Outcomes were mainly related to levels of polypharmacy (29%; n = 6) and comorbidities (29%; n = 6), effectiveness rates (14%; n = 3), and avoidable costs (9%; n = 2). Conclusions: This review outlines that Italy is still lacking in interventions to monitor/manage PIP, addressing an unmet need in developing patient-tailored strategies for reducing health-system burden. [ABSTRACT FROM AUTHOR]

Objective: The aims of the present study were: (a) to obtain new normative data of the Italian version of the Mini-Mental Examination State (MMSE) (Measso et al. in Dev Neuropsychol 9:77–85, 1993) by administering the tool to a sample of normal Italian individuals more representative of the current Italian population; (b) to compare the sensitivity of this tool in detecting patients suffering from Alzheimer's disease (AD according to NIA-AA), as compared to the those reported in previous normative Italian studies. Methods: MMSE was administered to 314 normal subjects recruited among individuals (and/or their relatives) attending the Offices of General Practitioners (GP) or Memory Clinics in Campania (Italy) by convenience sampling. A group of 47 patients with AD were included into the study. The effect of demographic variables on the raw MMSE scores of normal subjects was checked by multiple linear regression assuming MMSE scores as dependent variable and age, gender and education as the independent one(s). Therefore, a simultaneous regression model was constructed to correct the raw scores according the sensitive variables. Correction grid and equivalent scores were devised to classify subject's performance. Results: The mean raw MMSE score was 27.78 (SD = 1.80) (range 22–30/30). There was no significant difference between scores achieved by men or women (p = 0.688). Multiple linear regression analysis showed a significant effect of age and years of school attendance on the MMSE raw score, whereas gender did not show any significant effect. The cutoff score, distinguishing between pathological and normal performances, was fixed at the fifth centile corresponding to 24.9/30, higher than the current score of 23.8/30. The new cutoff value was able to identify 44/47 patients with AD, in contrast to 38/47 subjects detected by currently used norms. Conclusions: (1) A more updated and representative population sample; (2) a new cutoff threshold able to distinguish between normal and pathological performances; (3) a correction grid that reduces the risk of false-positive and false-negative values due to the influence of the main demographic factors; (4) greater sensitivity, compared to previous Italian normative studies in identifying people with dementia. [ABSTRACT FROM AUTHOR]

Objective: To devise an Italian version of the quick mild cognitive impairment screen (Qmci) and to obtain normative data.Methods: An Italian version of the Qmci screen (Qmci-I) was administered to 307 subjects free from cognitive impairment. The normative sample was divided into three age levels (50-59; 60-69 and 70-80 years) and four education levels (3-5; 6-8; 9-13; >13 years of school attendance). Multiple regression analyses were used to evaluate the effect of age, sex and schooling on Qmci-I scores (overall and by domains) and to calculate cut-off values, with reference to the confidence interval on the fifth centile.Results: The mean Qmci-I score was 64/100 (SD = 11). The age variable showed a significant negative effect on the overall Qmci-I score, with older people performing worse than younger ones. Conversely, education was associated with higher scores. Significant effects of age and education affected logical memory alone. For the other domains, the following effects were found: (1) higher age associated with lower scores on delayed recall; (2) higher education levels associated with higher scores on immediate recall, clock drawing and word fluency. The adjusted cut-off score for the Qmci-I screen in this sample was 49.4. Qmci-I scores were weakly correlated with those of MMSE (rho = 0.20).Conclusions: The Qmci-I is a rapid and multi-domain short cognitive screening instrument useful for evaluating cognitive functions. However, like other screening tools, it is significantly influenced by age and education, requiring normative data and correction of values when used in the clinical practice. [ABSTRACT FROM AUTHOR]

Objectives. The aim of the study was to assess self-reported medication adherence measure in patients selected during a health education and health promotion focused event held in the Campania region. The study also assessed sociodemographic determinants of adherence. Methods. An interviewer assisted survey was conducted to assess adherence using the Italian version of the 8-item Morisky Medication Adherence Scale (MMAS-8). Participants older than 18 years were interviewed by pharmacists while waiting for free-medical checkup. Results. A total of 312 participants were interviewed during the Health Campus event. A total of 187 (59.9%) had low adherence to medications. Pearson’s bivariate correlation showed positive association between the MMAS-8 score and gender, educational level and smoking (P<0.05). A multivariable analysis showed that the level of education and smoking were independent predictors of adherence. Individuals with an average level of education (odds ratio (OR), 2.21, 95% confidence interval (CI), 1.08–4.52) and nonsmoker (odds ratio (OR) 1.87, 95% confidence interval (CI), 1.04–3.35) were found to be more adherent to medication than those with a lower level of education and smoking. Conclusion. The analysis showed very low prescription adherence levels in the interviewed population. The level of education was a relevant predictor associated with that result. [ABSTRACT FROM AUTHOR]

Food supply in the Mediterranean area has been recently modified by big retail distribution; for instance, industrial retail has favored shipments of groceries from regions that are intensive producers of mass food, generating a long supply chain (LSC) of food that opposes short supply chains (SSCs) that promote local food markets. However, the actual functional role of food retail and distribution in the determination of the risk of developing metabolic syndrome (MetS) has not been studied hitherto. The main aim of this study was to test the effects of food chain length on the prevalence of MetS in a population accustomed to the Mediterranean diet. We conducted an observational study in Southern Italy on individuals adhering to the Mediterranean diet. We examined a total of 407 subjects (41% females) with an average age of 56 ± 14.5 years (as standard deviation) and found that being on the Mediterranean diet with a SSC significantly reduces the prevalence of MetS compared with the LSC (SSC: 19.65%, LSC: 31.46%; p: 0.007). Our data indicate for the first time that the length of food supply chain plays a key role in determining the risk of MetS in a population adhering to the Mediterranean diet. [ABSTRACT FROM AUTHOR]

According to the regulation "Decreto del Presidente del Consiglio dei Ministri" (DPCM) of September 29, 2015, n.178, the Logical Observation Identifiers Names and Codes (LOINC) system is included among the coding systems adopted in the Italian Electronic Health Record (EHR). As part of the Digital Health Solutions in Community Medicine (DHEAL-COM) project, one key goal is to categorize parameters using international classification systems. This enables the identification of appropriate Information and Communication Technology (ICT) solutions tailored to support people's health needs. Our objective is to incorporate LOINC codes for parameter categorization, thus anticipating the future use of EHR.

This article describes how innovations are exploited in Campania (Italy) to improve health outcomes, quality of life, and sustainability of social and healthcare services. Campania's strategy for digitalization of health and care and for healthy aging is based on a person-centered, life-course, "One Health" approach, where demographic change is considered capable of stimulating a growth dynamic linked to the opportunities of combining the "Silver Economy" with local assets and the specific health needs of the population. The end-users (citizens, patients, and professionals) contribute to the co-creation of products and services, being involved in the identification of unmet needs and test-bed activity. The Campania Reference Site of the European Innovation Partnership on Active and Healthy Aging is a flexible regional ecosystem to address the challenge of an aging population with a life-course approach. The good practices, developed in the context of research and innovation projects and innovative procurements by local stakeholders and collaborations with international networks, have been allowing the transfer of innovative solutions, knowledge, and skills to the stakeholders of such a multi-sectoral ecosystem for health., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 De Luca, Tramontano, Riccio, Trama, Buono, Losasso, Bracale, Annuzzi, Zampetti, Cacciatore, Vallefuoco, Lombardi, Marro, Melone, Ponsiglione, Chiusano, Bracale, Cafiero, Crudeli, Vecchione, Taglialatela, Tramontano, Iaccarino, Triassi, Roller-Wirnsberger, Bousquet and Illario.)

The treatment of diabetes in the elderly is a major challenge both in terms of clinical management and of public health. Evidence about prescribing patterns in the elderly diabetic population is limited. The aim was to describe trends in antidiabetic drug (AD) utilization patterns in the elderly in Southern Italy with a focus on drugs for cardiovascular prevention and pharmaceutical costs. The data used for this study were obtained from pharmacy records of Caserta Local Health Authority, a province in Southern Italy with 1 million of inhabitants, comprising urban and rural areas. Subjects above 65 years who received at least one dispensing of antidiabetic between January 2010 and December 2014 were selected. Prevalence and incidence rates (%) of AD use were calculated for each calendar year and stratified by class therapy and age group. Sub-analyses by cardiovascular co-medication therapy and pharmaceutical cost analysis were performed. The prevalence rate decreases from 22.0% in 2010 to 17.5% in 2014 (p<0.001). Proportion of subjects treated with monotherapy increases over the study period (33.9% in 2010; 38.6% in 2014; p<0.001). In particular, increases the proportion of users of metformin (18.2% in 2010; 23.7% in 2014; p<0.001), while the proportion of users of sulfonylureas dropped (11.0% in 2010; 7.2% in 2014; p< 0.001). About 90% of elderly diabetic patients are treated with drugs for cardiovascular prevention. The per/patient/yearly drug costs were 2,349 ∈: 28.5% for AD therapy and 71.5% for other treatments. Trend in drug utilization patterns showed a tendency towards treatment recommendations in older adults.