Publications by authors named "Tancredi S"

Background: Digital health holds promise for enhancing care coordination and supporting patient self-management. However, various barriers, including at the healthcare professional level, hinder its adoption. This cross-sectional study explored the eHealth profile of primary care physicians and its relationship with care coordination.

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Introduction: ChatGPT is an artificial intelligence based large language model with the ability to generate human-like response to text input, its performance has already been the subject of several studies in different fields. The aim of this study was to evaluate the performance of ChatGPT in the management of maxillofacial clinical cases.

Materials And Methods: A total of 38 clinical cases consulting at the Stomatology-Maxillofacial Surgery Department were prospectively recruited and presented to ChatGPT, which was interrogated for diagnosis, differential diagnosis, management and treatment.

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Objectives: To assess the association between socioeconomic status (SES) and self-reported adherence to preventive measures in Switzerland during the COVID-19 pandemic.

Methods: 4,299 participants from a digital cohort were followed between September 2020 and November 2021. Baseline equivalised disposable income and education were used as SES proxies.

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Objectives: To estimate the size of COVID-19 waves using four indicators across three pandemic periods and assess potential surveillance bias.

Study Design: Case study using data from one region of Switzerland.

Methods: We compared cases, hospitalizations, deaths, and seroprevalence during three periods including the first three pandemic waves (period 1: Feb-Oct 2020; period 2: Oct 2020-Feb 2021; period 3: Feb-Aug 2021).

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Surveillance bias occurs when variations in cancer incidence are the result of changes in screening or diagnostic practices rather than increases in the true occurrence of cancer. This bias is linked to the issue of overdiagnosis and can be apprehended by looking at epidemiological signatures of cancer. We explain the concept of epidemiological signatures using the examples of melanoma and of lung and prostate cancer.

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Fragility fractures in older people are common and are often associated with nursing home admission in frail people. Only few institutionalized residents with documented osteoporosis receive pharmacologic osteoporosis treatment. Studies demonstrating the benefit of osteoporosis drug therapy in this multimorbid and vulnerable population are lacking.

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Previous mental health trajectory studies were mostly limited to the months before access to vaccination. They are not informing on whether public mental health has adapted to the pandemic. The aim of this analysis was to 1) investigate trajectories of monthly reported depressive symptoms from July 2020 to December 2021 in Switzerland, 2) compare average growth trajectories across regions with different stringency phases, and 3) explore the relative impact of self-reported worries related to health, economic and social domains as well as socio-economic indicators on growth trajectories.

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Article Synopsis
  • The COVID-19 pandemic made life harder for students, especially those from low-income families, leading to more mental health issues like depression.
  • The study looked at how financial struggles during the pandemic affected students' feelings and what role their background played in this.
  • It found that students who couldn’t borrow money and whose parents didn’t have higher education showed more signs of depression when their financial situation got worse.
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Our study aims to evaluate developments in vaccine uptake and digital proximity tracing app use in a localized context of the SARS-CoV-2 pandemic. We report findings from two population-based longitudinal cohorts in Switzerland from January to December 2021. Failure time analyses and Cox proportional hazards regression models were conducted to assess vaccine uptake and digital proximity tracing app (SwissCovid) uninstalling outcomes.

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Surveillance and research data, despite their massive production, often fail to inform evidence-based and rigorous data-driven health decision-making. In the age of infodemic, as revealed by the COVID-19 pandemic, providing useful information for decision-making requires more than getting more data. Data of dubious quality and reliability waste resources and create data-genic public health damages.

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To describe the frequency of and reasons for changes in healthcare utilization in those requiring ongoing treatment, and to assess characteristics associated with change, during the second wave of the pandemic. Corona Immunitas e-cohort study (age ≥20 years) participants completed monthly questionnaires. We compared participants reporting a change in healthcare utilization with those who did not using descriptive and bivariate statistics.

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Background: Digital health technology can be useful to improve the health of patients with diabetes and to support patient-centered care and self-management. In this cross-sectional study, we described the eHealth profile of patients with diabetes, based on their use of digital health technology, and its association with sociodemographic characteristics.

Methods: We used data from the "Qualité Diabète Valais" cohort study, conducted in one region of Switzerland (Canton Valais) since 2019.

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We compared socio-demographic characteristics, health-related variables, vaccination-related beliefs and attitudes, vaccination acceptance, and personality traits of individuals who vaccinated against COVID-19 and who did not vaccinate by December 2021. This cross-sectional study used data of 10,642 adult participants from the Corona Immunitas eCohort, an age-stratified random sample of the population of several cantons in Switzerland. We used multivariable logistic regression models to explore associations of vaccination status with socio-demographic, health, and behavioral factors.

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Surveillance bias arises when differences in the frequency of a condition are due to changes in the modality of detection rather than to a difference in the actual risk of the condition. This bias hampers the surveillance of scrutiny-dependent cancers, leading to misinterpretations of cancer trends, risk factor identification, and, consequently, to the wrong public health actions.

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Article Synopsis
  • The study investigated how changes in financial resources and employment during the COVID-19 pandemic impacted mental health outcomes like depression, anxiety, and stress among Swiss participants from November 2020 to September 2021.
  • It found that 16% of participants exhibited signs of depression, 8% showed anxiety, and 10% experienced stress, with those in precarious financial situations faring worse across all mental health outcomes.
  • Additionally, participants who perceived the economic situation as concerning were more likely to report higher levels of anxiety and stress, highlighting the role of subjective risk perceptions on mental health.
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Purpose: We aimed to assess the seroprevalence trends of SARS-CoV-2 antibodies in several Swiss cantons between May 2020 and September 2021 and investigate risk factors for seropositivity and their changes over time.

Methods: We conducted repeated population-based serological studies in different Swiss regions using a common methodology. We defined three study periods: May-October 2020 (period 1, prior to vaccination), November 2020-mid-May 2021 (period 2, first months of the vaccination campaign), and mid-May-September 2021 (period 3, a large share of the population vaccinated).

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To assess the association between students' financial loss and depressive symptoms during the first wave of the coronavirus disease 2019 (COVID-19) pandemic and whether this association varied by countries having different levels of lockdown measures. This cross-sectional survey, conducted in spring 2020, included 91,871 students from 23 countries. Depressive symptoms were measured using the shortened Center for Epidemiological Studies Depression Scale and information on lockdowns retrieved from the COVID-19 government response tracker.

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Public health surveillance is the ongoing collection and analysis of health-related data, followed by the timely dissemination of information useful for decisions. Surveillance bias occurs when differences in the frequency of a condition are due to variations in the modalities of detection rather than to changes in the actual risk of the condition. As a result, the true burden of diseases cannot be properly assessed.

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Evidence-based practice and quality improvement should be at the heart of healthcare and public health. However, their implementation remains insufficient which is reflected in Switzerland in the high frequency of low-value care, in the wide regional variation in care practices, and in the absence of quality monitoring for the majority of healthcare processes. It is necessary to strengthen the monitoring of quality, particularly that perceived by patients, to help strengthening high-value and patient centered care.

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Article Synopsis
  • - The study aimed to investigate whether living in a household with children is linked to higher SARS-CoV-2 seropositivity in adults, considering various influencing factors like gender and employment status.
  • - Conducted in Switzerland from late 2020 to early 2021, testing involved 2,393 adults, revealing that about 17.2% were seropositive, with living with children showing a potential positive association with seropositivity.
  • - Findings indicated that men living with children have a higher infection risk compared to women, and the risk varies based on the number and age of children in the household, highlighting the need for further research into these dynamics.
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Background: Emerging evidence suggests a possible association between artificial light at night (LAN) exposure and physiological and behavioral changes, with implications on mood and mental health. Due to the increased amount of individuals' LAN exposure, concerns have been raised regarding harmful impact of light pollution on mental health at the population level.

Aim: To perform a systematic review of observational studies to investigate if light at night, assessed both indoor and outdoor, may be associated with an increased risk of mental diseases in humans.

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(1) Background: Ankyloglossia, or tongue-tie is a condition, in which the tip of tongue cannot protrude beyond the lower incisor teeth because of short frenulum linguae, often containing scar tissue. Limitations of movement are the most important clinical symptoms of this condition, together with feeding, speech, and mechanical problems. (2) Methods: the present study included two groups of patients (group A and group B) including, respectively, 29 and 32 patients (61 patients total), aged from 8 to 12 and presenting ankyloglossia classified according to the Kotlow's classification.

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Background And Aim: In early 2020, SARS-CoV-2 was declared a pandemic by the WHO and Italy was one of the first and most severely affected country in Europe. Despite the global interest about COVID-19 pandemic, several aspects of this infection are still unclear, especially in pediatric population. This study aims to investigate the characteristics of the isolated or quarantined children and adolescents followed by the Public Health Department of the Italian province of Modena during the first wave of COVID-19.

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