Factors Influencing the Desirability, Acceptability, and Adherence of Patients with Diabetes to Telemedicine.

Background and Objectives: Telemedicine solutions have proven their value and efficacy in augmenting diabetes care. In addition to the availability of tools needed to implement telemedicine solutions for patients with diabetes, the patients' desirability, acceptance, and adherence represent major burdens in implementing them. The main aim of this research is to evaluate which factors are influencing the desirability, acceptance, and adherence of patients with diabetes to telemedicine interventions in diabetes care. Materials and Methods: QTelemeDiab, a previously validated instrument for assessing patients' desirability, acceptance, and adherence to telemedicine in diabetes care, was used on 114 enrolled patients with diabetes mellitus, in parallel with demographic, socio-economic, disease history, and psychometric data from all patients. Results: Left-skewed score distributions were observed for the QTelemeDiab total score (median = 166; skewness = -1.738), as well as all its components, thus denoting a high desirability, acceptance, and adherence towards telemedicine use. The presence of severe depression was associated with significant decreases in the QTelemeDiab score (148 vs. 167; p < 0.001), as well as on the desirability sub-score (101 vs. 115; p < 0.001) and adherence sub-score (30 vs. 35; p < 0.001). The presence of severe anxiety was associated with significant decreases in QTelemeDiab score (150 vs. 166), as well as the desirability sub-score (104 vs. 114; p = 0.008) and adherence sub-score (30 vs. 34; p = 0.012). Conclusions: There is a high desirability, acceptance, and adherence to the use of telemedicine interventions in patients with diabetes, both in special and in normal epidemiological settings. The presence of severe anxiety decreases the patient's desirability, acceptance, and adherence, while the presence of severe depression decreases the patient's desirability and adherence to the use of telemedicine interventions in diabetes care.

Evaluation and Comparison of the Predictive Value of 4C Mortality Score, NEWS, and CURB-65 in Poor Outcomes in COVID-19 Patients: A Retrospective Study from a Single Center in Romania.

To date, the COVID-19 pandemic has caused millions of deaths across the world. Prognostic scores can improve the clinical management of COVID-19 diagnosis and treatment. The objective of this study was to assess the predictive role of 4C Mortality, CURB-65, and NEWS in COVID-19 mortality among the Romanian population. A single-center, retrospective, observational study was conducted on patients with reverse transcriptase-polymerase chain reaction (RT-PCR)-proven COVID-19 admitted to the Municipal Emergency Clinical Hospital of Timisoara, Romania, between 1 October 2020 and 15 March 2021. Receiver operating characteristic (ROC) and area under the curve (AUC) analyses were performed to determine the discrimination accuracy of the three scores. The mean values of the risk scores were higher in the non-survivors group (survivors group vs. non-survivors group: 8 vs. 15 (4C Mortality Score); 3 vs. 8.5 (NEWS); 1 vs. 3 (CURB-65)). In terms of mortality risk prediction, the NEWS performed best, with an AUC of 0.86, and the CURB-65 score performed poorly, with an AUC of 0.80. CURB-65, NEWS, and 4C Mortality scores were significant mortality predictors in the analysis, with acceptable calibration. Among the scores assessed in our study, NEWS had the highest performance in predicting in-hospital mortality in COVID-19 patients. Thus, the findings from this study suggest that the use of NEWS may be beneficial to the early identification of high-risk COVID-19 patients and the provision of more aggressive care to reduce mortality associated with COVID-19.

Using the NYHA Classification as Forecasting Tool for Hospital Readmission and Mortality in Heart Failure Patients with COVID-19.

During the COVID-19 pandemic, it was observed that patients with heart disease are more likely to be hospitalized and develop severe COVID-19. Cardiac disease takes the top position among patient comorbidities, heart failure (HF) prevalence reaching almost 5% in the general population older than 35 years in Romania. This retrospective study aimed to determine the potential use of the NYHA classification for HF in hospitalized patients with COVID-19 as prognostic tool for in-hospital mortality, length of hospitalization, and probability of rehospitalization for HF decompensation. We observed that patients with advanced HF had a history of significantly more comorbid conditions that are associated with worse disease outcomes than the rest of patients classified as NYHA I and II. However, regardless of existing diseases, NYHA III, and, especially, NYHA IV, patients were at greatest risk for mortality following SARS-CoV-2 infection. They required significantly longer durations of hospitalization, ICU admission for mechanical ventilation, and developed multiple severe complications. NYHA IV patients required a median duration of 20 days of hospitalization, and their in-hospital mortality was as high as 47.8%. Cardiac biomarkers were significantly altered in patients with SARS-CoV-2 and advanced HF. Although the study sample was small, all patients with NYHA IV who recovered from COVID-19 required a rehospitalization in the following month, and 65.2% of the patients at initial presentation died during the next six months. The most significant risk factor for mortality was the development of severe in-hospital complications (OR = 4.38), while ICU admission was the strongest predictor for rehospitalization (OR = 5.19). Our result highlights that HF patients continue to be vulnerable post SARS-CoV-2 infection. Physicians and policymakers should consider this population's high likelihood of hospital readmissions when making discharge, hospital capacity planning, and post-discharge patient monitoring choices.

Burnout Toll on Empathy Would Mediate the Missing Professional Support in the COVID-19 Outbreak.

PURPOSE: The year 2020 was marked by the COVID-19 pandemic, massively disruptive at the general population level and for healthcare systems. We aimed to evaluate the psychological distress associated with work-related experiences among medical professionals and supporting staff during the pandemic outbreak. PATIENTS AND METHODS: A cross-sectional survey was conducted between April and May 2020, employing a self-administered on-line questionnaire that included the collection of socio-demographic and professional status information, Hamilton Anxiety Rating Scale, nine-item Patient Health Questionnaire (PHQ-9), Maslach Burnout Inventory - General Survey, Connor-Davidson Resilience Scale, and a subscale of the International Personality Item Pool (IPIP) for empathy. A total of 364 professionals of the county-coordinated area responded. Descriptive statistics summarized the findings and a mediation model was analyzed, applying the causal step strategy. The specific direct and causal mediation effects were estimated with the bias-corrected and accelerated bootstrap sampling method. RESULTS: Anxiety, burnout, stress, resilience, and empathy proved to be significantly associated with both the professional category (ie, consultant, specialty doctor, trainee doctor, senior nurse, trainee nurse or other) and the perceived professional support (the nonparametric multivariate permutation test resulted in p=0.048 and p<0.001, respectively). When controlling for the marital and professional status, the female gender had an OR=2.26, 95% CI (1.21; 4.22) toward a high level of empathy compared to males. The causal mediation effect of the perceived lack of professional support on empathy through burnout-depersonalization was highly significant (p<0.001) with an average of 0.0599, 95% CI (0.0238; 0.10), while the direct effect was non-significant (p=0.536) with an average of 0.0295, 95% CI (-0.0774; 0.15). CONCLUSION: We highlighted the impact of the lack of professional support on healthcare workers' empathy through burnout-depersonalization in a context of a high workload, time pressure, job stress beyond previous training, and inherently limited organizational support, which are potentially modifiable factors in the mid-term.