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In Italy, despite strong community-based mental health services, needs assessment is unsatisfactory. Using the Mental Health Clustering Tool (MHCT) we adopted a multidimensional and non-diagnosis dependent approach to assign mental health services users with similar needs to groups corresponding to resources required for effective care. We tested the MHCT in nine Departments of Mental Health in four Italian regions. After a brief training, 318 professionals assessed 12,938 cases with a diagnosis of schizophrenia, depression, bipolar disorder and personality disorder through the MHCT. 53% of cases were 40-59 years, half were females, 51% had a diagnosis of schizophrenia, 48% of cases were clinically severe. Clusters included different levels of clinical severity and diagnostic groups. The largest cluster was 11 (ongoing recurrent psychosis), with 18.9% of the sample, followed by cluster 3 (non-psychotic disorders of moderate severity). The MHCT could capture a variety of problems of people with mental disorders beyond the traditional psychiatric assessment, therefore depicting service population from a different standpoint. Following a brief training, MHCT assessment proved to be feasible. The automatic allocation of cases made the attribution to clusters easy and acceptable by professionals. To what extent clustering provide a sound base for care planning will be the matter of further research.
Subject(s)
Mental Health Services , Psychotic Disorders , Schizophrenia , Female , Humans , Male , Pilot Projects , Mental HealthABSTRACT
BACKGROUND: Tinnitus is a leading cause of disease burden globally. Several therapeutic strategies are recommended in guidelines for the reduction of tinnitus distress; however, little is known about the potentially increased effectiveness of a combination of treatments and personalized treatments for each tinnitus patient. METHODS: Within the Unification of Treatments and Interventions for Tinnitus Patients project, a multicenter, randomized clinical trial is conducted with the aim to compare the effectiveness of single treatments and combined treatments on tinnitus distress (UNITI-RCT). Five different tinnitus centers across Europe aim to treat chronic tinnitus patients with either cognitive behavioral therapy, sound therapy, structured counseling, or hearing aids alone, or with a combination of two of these treatments, resulting in four treatment arms with single treatment and six treatment arms with combinational treatment. This statistical analysis plan describes the statistical methods to be deployed in the UNITI-RCT. DISCUSSION: The UNITI-RCT trial will provide important evidence about whether a combination of treatments is superior to a single treatment alone in the management of chronic tinnitus patients. This pre-specified statistical analysis plan details the methodology for the analysis of the UNITI trial results. TRIAL REGISTRATION: ClinicalTrials.gov NCT04663828 . The trial is ongoing. Date of registration: December 11, 2020. All patients that finished their treatment before 19 December 2022 are included in the main RCT analysis.
Subject(s)
Cognitive Behavioral Therapy , Tinnitus , Humans , Combined Modality Therapy , Anesthetics, Local , EuropeABSTRACT
OBJECTIVE: Shared decision-making (SDM) is the partnership and discussion between clinicians and patients to make an appropriate decision based on scientific evidence and patient preferences. Many benefits are associated with SDM; however, little is known about its awareness or use by inflammatory bowel disease (IBD) clinicians in gastroenterology departments across Israel. This study aims to identify barriers and facilitators in implementing SDM as standard practice to achieve optimal disease management and personalized care for patients with IBD. METHODS: Sixteen semi-structured interviews were conducted with IBD clinicians across Israel to identify the barriers and facilitators for SDM use. An interview guide was developed, based on the systematic approach of the Theoretical Domain Framework (TDF). Interview transcripts were coded into theoretical domains to identify factors that may impact SDM. RESULTS: Sixteen gastroenterologists from nine different hospitals were interviewed. Common TDF domains that presented as barriers were: knowledge, skills, social/professional role and identity, environmental context and resources, and reinforcement. Most participants had never heard the precise term "shared decision making" and lacked formal training on SDM. CONCLUSION: This study identified key barriers and facilitators to SDM in IBD clinics across Israel. Main barriers of SDM include limited or nonexistent training; clinicians were unaware of SDM guidelines or techniques. The main facilitators of SDM were clinicians' social and professional role and identity and their beliefs about the influence of IBD and/or CD. PRACTICE IMPLICATIONS: These influencing factors and TDF domains identified provide a basis for developing future interventions to improve the implementation of SDM within IBD management.
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The association between current smoking and coronavirus disease 2019 (COVID-19) progression remains uncertain. We aim to provide up-to-date evidence of the role of cigarette smoking in COVID-19 hospitalisation, severity and mortality. On 23 February 2022 we conducted an umbrella review and a traditional systematic review via PubMed/Medline and Web of Science. We used random-effects meta-analyses to derive pooled odds ratios of COVID-19 outcomes for smokers in cohorts of severe acute respiratory syndrome coronavirus 2 infected individuals or COVID-19 patients. We followed the Meta-analysis of Observational Studies in Epidemiology reporting guidelines. PROSPERO: CRD42020207003. 320 publications were included. The pooled odds ratio for current versus never or nonsmokers was 1.08 (95% CI 0.98-1.19; 37 studies) for hospitalisation, 1.34 (95% CI 1.22-1.48; 124 studies) for severity and 1.32 (95% CI 1.20-1.45; 119 studies) for mortality. Estimates for former versus never-smokers were 1.16 (95% CI 1.03-1.31; 22 studies), 1.41 (95% CI: 1.25-1.59; 44 studies) and 1.46 (95% CI 1.31-1.62; 44 studies), respectively. Estimates for ever- versus never-smokers were 1.16 (95% CI 1.05-1.27; 33 studies), 1.44 (95% CI 1.31-1.58; 110 studies) and 1.39 (95% CI 1.29-1.50; 109 studies), respectively. We found a 30-50% excess risk of COVID-19 progression for current and former smokers compared with never-smokers. Preventing serious COVID-19 outcomes, including death, seems the newest compelling argument against smoking.
Subject(s)
COVID-19 , Humans , Risk Factors , SARS-CoV-2 , Odds Ratio , Smoking/adverse effects , Smoking/epidemiologyABSTRACT
Knowledge on the role of diet in tinnitus onset is mostly based on few cross-sectional studies. In 2016-2019 we conducted a hospital-based case-control study in northern Italy on 185 incident idiopathic tinnitus cases and 198 controls, providing data on dietary habits through a 37-item food-frequency questionnaire. Odds ratios (OR) for tinnitus risk were derived through unconditional multiple logistic regression models. Moderate-to-high vs. low intake of caffeine (OR, 0.49; 95% confidence interval (CI), 0.24-0.99) and butter (OR, 0.46; 95% CI, 0.23-0.93), and high vs. low intake of poultry (OR, 0.43; 95% CI, 0.23-0.81), prosciutto (OR, 0.44; 95% CI, 0.23-0.85), and legumes (OR, 0.50; 95% CI, 0.28-0.92) were inversely associated with tinnitus onset. Other food items, including cereals, red meat, fish, vegetables, and fruit did not show any statistically significant relationship. The variety of food consumed decreased the risk of tinnitus (OR for at least 20 vs. less than 16 different food items, 0.47; 95% CI, 0.24-0.90). Our findings highlight the importance of diet in tinnitus onset and confirm a potential inverse association of protein-rich food and caffeine on the incidence of tinnitus. Confirmation of our findings in longitudinal studies is necessary before proving any diet recommendations for tinnitus prevention.
Subject(s)
Tinnitus , Animals , Risk Factors , Tinnitus/epidemiology , Tinnitus/etiology , Case-Control Studies , Cross-Sectional Studies , Caffeine , Diet/adverse effects , Vegetables , Fruit , Feeding Behavior , Italy/epidemiologyABSTRACT
BACKGROUND: Studies on SARS-CoV-2 conducted in confined settings for prolonged times allow researchers to assess how the coronavirus spreads. San Patrignano (SP), Italy, is the largest European drug rehabilitation facility. METHODS: Between 15 October and 31 December 2020, all SP residents were tested for SARS-CoV-2. We analyzed the relationships between individual characteristics and being SARS-CoV-2-positive. Three selected predictive models were used to calculate the number of expected hospitalizations. For each model, we summed the estimated individual risks to obtain the expected number of hospitalizations in our sample, and we tested whether the observed and expected numbers differed. RESULTS: Of 807 residents, 529 (65.6%) were SARS-CoV-2-positive. Of these 323 (61.1%) were symptomatic. A strong relationship was found between being positive and living connections (p-value < 0.001). No statistically significant relationship was found with age, sex, smoking history, or comorbidities. Although 9 to 17 hospitalizations were expected, no hospitalizations were observed (p-value < 0.001). No one died of COVID-19. CONCLUSIONS: The peculiar characteristics of SP residents or the SP environment might at least partially explain the null hospitalization rates. Despite the extreme uniqueness of our population and despite the protected environment and all precautions that were taken, the fact that the virus was able to circulate and infect a large portion of the population highlights the fundamental role of social interactions in the spread of the disease.
Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , SARS-CoV-2 , European Union , Italy/epidemiology , ComorbidityABSTRACT
BACKGROUND: Digital health technologies have been proposed to support hospital-to-home transition for older adults. The COVID-19 pandemic and the associated physical distancing guidelines have propelled a shift toward digital health technologies. However, the characteristics of older adults who participated in digital health research interventions to support hospital-to-home transitions remain unclear. This information is needed to assess whether current digital health interventions are generalizable to the needs of the broader older adult population. OBJECTIVE: This rapid review of the existing literature aimed to identify the characteristics of the populations targeted by studies testing the implementation of digital health interventions designed to support hospital-to-home transitions, identify the characteristics of the samples included in studies testing digital health interventions used to support hospital-to-home transitions, and create recommendations for enhancing the diversity of samples within future hospital-to-home digital health interventions. METHODS: A rapid review methodology based on scoping review guidelines by Arksey and O'Malley was developed. A search for peer-reviewed literature published between 2010 and 2021 on digital health solutions that support hospital-to-home transitions for older adults was conducted using MEDLINE, Embase, and CINAHL databases. The data were analyzed using descriptive statistics and qualitative content analysis. The Sex- and Gender-Based Analysis Plus lens theoretically guided the study design, analysis, and interpretation. RESULTS: A total of 34 studies met the inclusion criteria. Our findings indicate that many groups of older adults were excluded from these interventions and remain understudied. Specifically, the oldest old and those living with cognitive impairments were excluded from the studies included in this review. In addition, very few studies have described the characteristics related to gender diversity, education, race, ethnicity, and culture. None of the studies commented on the sexual orientation of the participants. CONCLUSIONS: This is the first review, to our knowledge, that has mapped the literature focusing on the inclusion of older adults in digital hospital-to-home interventions. The findings suggest that the literature on digital health interventions tends to operationalize older adults as a homogenous group, ignoring the heterogeneity in older age definitions. Inconsistency in the literature surrounding the characteristics of the included participants suggests a need for further study to better understand how digital technologies to support hospital-to-home transitions can be inclusive.
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Background: Although a direct relationship between tinnitus or hearing difficulties and COVID-19 has been suggested, current literature provides inconsistent results, and no research has been undertaken in older adults. Methods: In November 2020, we conducted the LOST in Lombardia survey, a telephone-based cross-sectional study on a sample of 4,400 individuals representative of the general population aged ≥65 years from Lombardy region, Northern Italy. Individuals with diagnosed tinnitus and/or hearing loss were asked whether their conditions had improved or deteriorated in 2020 compared to 2019. Results: Overall, 8.1% of older adults reported a diagnosis of tinnitus and 10.5% of hearing loss. In 2020 compared to 2019, among individuals with tinnitus, those with increasing severity (5.0%) were similar to those decreasing it (5.3%). Among individuals with hearing loss, more people reported an increase (13.6%) than a decrease (3.2%) in their disease severity. No individual with a diagnosis in 2020 of tinnitus (n = 6) or hearing loss (n = 13) had COVID-19. The incidence of tinnitus was lower in 2020 (rate: 14.8 per 10,000 person-years) than in previous years (rate in 1990-2019: 36.0 per 10,000 person-years; p = 0.026). There was no change in the incidence of hearing loss (p = 0.134). Conclusions: In this large representative sample of older adults, on average neither COVID-19 confinement nor SARS-CoV-2 infection appeared to increase the severity or incidence of tinnitus. The increased severity of hearing difficulties may totally or partially be explained by physiologic deterioration of the condition, or by a misperception due to the use of face-masks.
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INTRODUCTION: Older adults may experience challenges during the hospital to home transitions that could be mitigated by digital health solutions. However, to promote adoption in practice and realise benefits, there is a need to specify how digital health solutions contribute to hospital to home transitions, particularly pertinent in this era of social distancing. This rapid review will: (1) elucidate the various roles and functions that have been developed to support hospital to home transitions of care, (2) identify existing digital health solutions that support hospital to home transitions of care, (3) identify gaps and new opportunities where digital health solutions can support these roles and functions and (4) create recommendations that will inform the design and structure of future digital health interventions that support hospital to home transitions for older adults (eg, the pre-trial results of the Digital Bridge intervention; ClinicalTrials.gov Identifier: NCT04287192). METHODS AND ANALYSIS: A two-phase rapid review will be conducted to meet identified aims. In phase 1, a selective literature review will be used to generate a conceptual map of the roles and functions of individuals that support hospital to home transitions for older adults. In phase 2, a search on MEDLINE, EMBASE and CINAHL will identify literature on digital health solutions that support hospital to home transitions. The ways in which digital health solutions can support the roles and functions that facilitate these transitions will then be mapped in the analysis and generation of findings. ETHICS AND DISSEMINATION: This protocol is a review of the literature and does not involve human subjects, and therefore, does not require ethics approval. This review will permit the identification of gaps and new opportunities for digital processes and platforms that enable care transitions and can help inform the design and implementation of future digital health interventions. Review findings will be disseminated through publications and presentations to key stakeholders.
Subject(s)
Hospitals , Patient Transfer , Aged , Humans , Research Design , Review Literature as TopicABSTRACT
BACKGROUND: Frailty was shown to be associated with psychosocial risk factors, but there are few longitudinal data. METHODS: We used data from waves 5 and 6 of the Survey of Health Aging Retirement in Europe (SHARE) to study the contribution of loneliness and social isolation to transitions towards frailty defined according to Fried criteria in a sample of 27,468 individuals aged ≥60. RESULTS: At baseline, there were 13,069 (47.6%) robust individuals, 11,430 (41.6%) pre-frail and 2,969 (10.8%) frail. After 2 years, among robust subjects at baseline, 8,706 (61.8%) were still robust, 4,033 (30.8%) were pre-frail and 330 (2.6%) were frail. Among those who were pre-frail, 1,504 (13.2%) progressed to frail and 3,557 (31.1%) became robust. Among frail people, 182 (6.1%) reversed to robust and 1,271 (42.8%) to pre-frail. Average and high levels of loneliness and social isolation were significantly associated with the risk of robust people becoming frail and pre-frail (except robust with high loneliness to become frail), and of pre-frail people to become frail (except with average loneliness). Reversion to robustness was inversely associated with high levels of loneliness. CONCLUSION: Average levels of loneliness and social isolation should not be considered acceptable and should be actively addressed even in the absence of any health conditions through an available evidence-based intervention.