Assessing the Impact of COVID-19 on Retention in HIV Primary Care: A Longitudinal Multisite Analysis.

We compared retention in care outcomes between a pre-COVID-19 (Apr19-Mar20) and an early-COVID-19 (Apr20-Mar21) period to determine whether the pandemic had a significant impact on these outcomes and assessed the role of patient sociodemographics in both periods in individuals enrolled in the Data for Care Alabama project (n = 6461). Using scheduled HIV primary care provider visits, we calculated a kept-visit measure and a missed-visit measure and compared them among the pre-COVID-19 and early-COVID-19 periods. We used logistic regression models to calculated odds ratios (OR) and accompanying 95% confidence intervals (CI). Overall, individuals had lowers odds of high visit constancy [OR (95% CI): 0.85 (0.79, 0.92)] and higher odds of no-shows [OR (95% CI): 1.27 (1.19, 1.35)] during the early-COVID-19 period. Compared to white patients, Black patients were more likely to miss an appointment and transgender people versus cisgender women had lower visit constancy in the early-COVID-19 period.

Role of Visit Modality in the HIV-Related No-Shows During the COVID-19 Pandemic: A Multisite Retrospective Cohort Study.

The emergence of the COVID-19 pandemic necessitated rapid expansion of telehealth as part of healthcare delivery. This study compared HIV-related no-shows by visit type (in-person; video; telephone) during the COVID-19 pandemic (April 2020-September 2021) from the Data for Care Alabama project. Using all primary care provider visits, each visit's outcome was categorized as no-show or arrived. A logistic regression model using generalized estimating equations accounting for repeat measures in individuals and within sites calculated odds ratios (OR) and their accompanying 95% confidence interval (CI) for no-shows by visit modality. The multivariable models adjusted for sociodemographic factors. In-person versus telephone visits [OR (95% CI) 1.64 (1.48-1.82)] and in-person versus video visits [OR (95% CI) 1.53 (1.25-1.85)] had higher odds of being a no-show. In-person versus telephone and video no-shows were significantly higher. This may suggest success of telehealth visits as a method for HIV care delivery even beyond COVID-19.

Where Are We Headed? Diagnosing Abnormal Head Shapes Through Virtual Care Visits.

PURPOSE: Since the beginning of the coronavirus disease 2019 pandemic in early March, there has been a push to expand virtual patient care visits instead of in-person clinic visits. Studies have found that telemedicine can provide efficient triaging, reduction in emergency room visits, and conservation of health care resources and personnel. Although virtual patient care has been implicated in providing similar outcomes to traditional face-to-face care in patients affected with coronavirus disease 2019, there are a lack of studies on the effectiveness of virtual care visits (VCVs) for patients with craniosynostosis or deformational plagiocephaly. This study aims to develop an understanding of whether physicians can accurately diagnose pediatric patients with craniosynostosis or deformational plagiocephaly via VCVs, and whether they can determine if affected patients will benefit from helmet correction or if surgical treatment is required. METHODS: An Institutional Review Board-approved retrospective chart analysis over a 4-month period (March 1, 2020 to June 30, 2020) was performed analyzing all pediatric patients (<18 years old) who underwent virtual care calls for diagnosis and treatment of abnormal head shape. Patients were referred to UT Physicians Pediatric Surgery clinic for evaluation by a member of the Texas Cleft-Craniofacial Team (2 surgeons or 1 physician's assistant). Variables such as patient demographics, diagnosis, and need for confirmation were pulled and recorded from Allscripts Electronic Medical Records software. RESULTS: Thirty-five patients were identified who fit our search criteria. Out of these patients, eleven (31.43%) cases were diagnosed with craniosynostosis, twenty-two (62.86%) cases were diagnosed with deformational plagiocephaly, and 2 (5.71%) cases were diagnosed as being normocephalic. Median age at virtual care evaluation was 14.10 months (Interquartile Range [IQR] 5.729, 27.542) for patients diagnosed with craniosynostosis and 6.51 months (IQR 4.669, 7.068) for patients diagnosed with deformational plagiocephaly. All eleven (100%) patients diagnosed with craniosynostosis were referred for a confirmatory computed tomography scan before undergoing surgical intervention and saw an alleviation in head shape postoperatively. Eighteen (81.82%) of patients diagnosed with deformational plagiocephaly were recommended to undergo conservative treatment and the remaining 4 (18.18%) were recommended for helmet therapy. Two cases were unable to be diagnosed virtually. These patients needed a follow-up visit in person to establish a diagnosis and plan of treatment. CONCLUSIONS: Virtual care visits are increasing in frequency and this includes consultations for abnormal head shapes. Our experience demonstrates that the majority of patients can be evaluated safely in this modality, with only 5.71% requiring additional imaging or in-person visits to confirm the diagnosis. Our study underscores the feasibility of virtually diagnosing and recommending a plan for treatment in pediatric patients with abnormal head shapes. This information can be implemented to further our knowledge on the accuracy of diagnosis and treatment options for patients with craniosynostosis and deformational plagiocephaly. Further analyses are needed to quantify the financial and patient-reported outcomes of VCVs for these patients.

The SARS-CoV-2 pandemic is associated with increased severity of presentation of childhood onset type 1 diabetes mellitus: A multi-centre study of the first COVID-19 wave.

OBJECTIVE: Children are usually mildly affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19). However, the pandemic has caused collateral damage to those with non-COVID-19 diseases. We aimed to determine the impact of the COVID-19 pandemic on the presentation of newly diagnosed childhood onset type 1 diabetes. METHODS: This was a cross-sectional study conducted over a 1-year period. We compared the severity of presentation of new-onset type 1 diabetes in children under the age of 18 presenting to the multi-centre North Central London diabetes network before (1 July 2019 to 22 March 2020) and during (23 March 2020 to 30 June 2020) the first wave of the COVID-19 pandemic in the United Kingdom. RESULTS: Over the 1-year study period, a total of 30 children presented with new-onset type 1 diabetes during the pre-pandemic period and 17 presented during the first COVID-19 wave. Children presented more frequently in diabetic ketoacidosis (DKA) during the first COVID-19 wave compared with pre-pandemic (pre-pandemic: mild 13%, moderate 6.7%, severe 10%; first COVID-19 wave: mild 5.9%, moderate 24%, severe 47%; p = 0.002). During the first COVID-19 wave, DKA presentations in children with a family history of type 1 diabetes were fewer compared to those without a family history (33.3% vs. 100.0%; p = 0.006). Children presenting in severe DKA pre-pandemic were younger than those not in severe DKA (3.9 years vs. 12.2 years, p < 0.001) but this difference was not significant during the first COVID-19 wave (10.1 years vs. 11.2 years, p = 0.568). Presenting HbA1c measurement was higher in those presenting during the first COVID-19 wave (13.0 ± 1.7 vs. 10.4 ± 3.2%; 119 ± 19 vs. 90 ± 35 mmol/mol; p = 0.008). CONCLUSION: The COVID-19 pandemic is associated with increased severity of presentation of childhood onset type 1 diabetes. Whatever the context, young people with suspected new-onset type 1 diabetes should be referred for urgent clinical review.

Sense of community causal relationship with volunteer engagement as moderated by community size

This quantitative study used the sense of community theory in conjunction with Dunbar's number theory to hypothesize the relationships between sense of community and volunteer engagement as moderated by community size for Michigan Farm Bureau members. A study of an organization's volunteer management structure through the combination of Dunbar's number theory and the sense of community theory to determine engagement is critical to understanding the underlying logic for creating a strong volunteer force and how organizational structure can be leveraged to attract and maintain volunteers. The COVID-19 pandemic may change the way organizations interface with volunteers. Understanding how to make each volunteer interaction meaningful for both the volunteer and the organization will be critical. A linear regression model was used to analyze data gathered using the Brief Sense of Community Scale and the Revised Productive Engagement Portfolio scenario scale for volunteering for Michigan Farm Bureau members who had a valid email address. Community size was categorized into small or large for the moderation effect analysis. The R2 value indicated that 13.5% of the variance in volunteer engagement can be explained by sense of community for the sample population. However, community size did not display an interaction effect on the relationship between sense of community and volunteer engagement. Future research could include comparisons of other moderating variables such as available free time, education, and household identifiers. Future research should take into consideration the role social networking platforms play in determining the strength of sense of community. (PsycInfo Database Record (c) 2020 APA, all rights reserved)