Glycemic outcomes and patient satisfaction and self-management improves in transition from standard to virtual multidisciplinary care.

AIMS: With advances in cloud-based technologies, there has been a rise in remote T1D care. We hypothesized that transitioning T1DM care to a virtual, multidisciplinary clinic could improve measures beyond HbA1c. METHODS: To assess the impact of transitioning from standard to virtual T1DM care, we evaluated glycemic measures and patient reported outcomes. RESULTS: Sixty-one adults with T1DM were included, with mean age 40.2 ± 13.5 years and diabetes duration 16.9 ± 9.0 years. Most patients were treated with insulin pumps and CGM. The number of annual diabetes care encounters rose from 2.1 ± 4.2 to 12.8 ± 5.5. Baseline HbA1c was 7.9 ± 1.6 %(63 ± 16.9 mmol/mol), declining to 7.3 ± 1.1 %(56 ± 8.5 mmol/mol) and 7.1 ± 1.0 %(54 ± 7.7 mmol/mol) at 6 and 12 months respectively (p < 0.001 for both). In parallel, TIR improved from 63.1 ± 19.3 % to 69.2 ± 13.8 % (p < 0.001) and 67.5 ± 19.4 % (p = 0.03) at 6 and 12 months respectively, while TBR declined. Scores from validated diabetes treatment and self-management questionnaires rose significantly and these rises were associated with a reduction in HbA1c, the latter score was also associated with increased TIR. There was a trend toward a correlation between encounter frequency and improvement in HbA1c and TIR. CONCLUSIONS: Transitioning from standard to virtual, coordinated, multidisciplinary T1DM care is associated with increased visit frequency, improving glycemic control, treatment satisfaction and self-care behaviors.

Place of Death for Israeli Cancer Patients Over a 20-Year Period: Reducing Hospital Deaths, but Barriers Remain.

BACKGROUND: Cancer remains a leading cause of mortality worldwide. While the main focus of palliative care (PC) is quality of life, the elements that comprise the quality of death are often overlooked. Dying at home, with home-hospice-care (HHC) support, rather than in-hospital, may increase patient satisfaction and decrease the use of invasive measures. We examined clinical and demographic characteristics associated with out-of-hospital death among patients with cancer, which serves as a proxy measure for HHC deaths. METHODS: Using death certification data from the Israel Central Bureau of Statistics, we analyzed 209,158 cancer deaths between 1998 and 2018 in Israel including demographic information, cause of death, and place of death (POD). A multiple logistic regression model was constructed to identify factors associated with out-of-hospital cancer deaths. RESULTS: Between 1998 and 2018, 69.1% of cancer deaths occurred in-hospital, and 30.8% out-of-hospital. Out-of-hospital deaths increased by 1% annually during the study period. Older patients and those dying of solid malignancies were more likely to die out-of-hospital (OR = 2.65, OR = 1.93, respectively). Likelihood of dying out-of-hospital varied with area of residency; patients living in the Southern district were more likely than those in the Jerusalem district to die out-of-hospital (OR = 2.37). CONCLUSION: The proportion of cancer deaths occurring out-of-hospital increased during the study period. We identified clinical and demographic factors associated with POD. Differences between geographical areas probably stem from disparity in the distribution of PC services and highlight the need for increasing access to primary EOL care. However, differences in age and tumor type probably reflect cultural changes and suggest focusing on educating patients, families, and physicians on the benefits of PC.