Impact of the COVID-19 Pandemic on Antihyperglycemic Prescriptions for Adults With Type 2 Diabetes in Canada: A Cross-sectional Study.

OBJECTIVES: Diabetes is a major public health problem in Canada and requires multifactorial, consistent clinical management. The COVID-19 pandemic has increased challenges in the management of many chronic ailments, including diabetes. Diabetes was associated with a higher risk of severe illness in the context of COVID-19. Pandemic restrictions also impacted diabetes care continuity, which may have contributed to an increased risk of diabetes-related complications and mortality. METHODS: This was a retrospective cross-sectional study of prescription patterns of antihyperglycemic medications claimed by individuals with type 2 diabetes (T2D) before and during the COVID-19 pandemic using the IQVIA Canada Longitudinal Prescription Claims database. The study period was from March 1, 2018, to February 28, 2021. The study outcomes are described on a monthly, quarterly, and yearly basis and overall, and by medication, medication class, and insurance coverage type. "New-to-molecule" patients were defined as those claiming a medication during the analysis period that they had no history of claiming in the database. Adults with at least 1 year of prescription history available and claiming their first prescription for an antihyperglycemic drug during the analysis period were classified as newly diagnosed with T2D. RESULTS: A similar number of people had at least 1 non-insulin antihyperglycemic prescription during the baseline, prepandemic, and pandemic periods in Canada (1,778,155, 1,822,403, and 1,797,272, respectively). However, the number of people initiating newer antihyperglycemic medications decreased at the beginning of the pandemic, in contrast to older medications, which remained consistent across the pandemic period. The number of people diagnosed with T2D decreased in the early months of the pandemic but recovered by October 2020. CONCLUSION: The COVID-19 epidemic in Canada impacted clinical care for at-risk Canadians, with fewer being prescribed newer antihyperglycemic drugs and a reduction in the number of diagnoses of T2D.

Impact of the COVID-19 Pandemic on Adults With Type 2 Diabetes Care and Clinical Parameters in a Primary Care Setting in Ontario, Canada: A Cross-sectional Study.

OBJECTIVES: Diabetes requires ongoing monitoring and care to prevent long-term adverse health outcomes. In Canada, quarantine restrictions were put into place to address the coronavirus-2019 (COVID-19) pandemic in March 2020. Primary care diabetes clinics limited their in-person services and were advised to manage type 2 diabetes (T2D) through virtual visits and reduce the frequency of routine diabetes-related lab tests and screening. METHODS: This retrospective cross-sectional study used de-identified patient records from a primary care electronic medical records database in Ontario, Canada, to identify people with T2D who had at least 1 health-care touchpoint between March 1, 2018, and February 28, 2021. Outcomes were described on a monthly or yearly basis: 1) number of people with primary care visits (in-person vs virtual); 2) number of people with referrals; 3) number of people with each of the vital/lab measures; and 4) results of the vital/lab measures. RESULTS: A total of 16,845 individuals with T2D were included. Compared with the pre-pandemic period, the COVID-19 period had a 16.8% reduction in the T2D population utilizing any primary care and an increase of 330.4% in the number of people with at least 1 virtual visit. Compared with the pre-pandemic period, fewer people had vital/lab measures in the pandemic period. However, among the people with the test results available, the average values for all tests were similar in the pre- and pandemic periods. CONCLUSION: Further research is needed to understand the impact of the reduction of in-person clinical care on the entire population with T2D.

The impact of the COVID-19 pandemic on diabetes services: planning for a global recovery.

The COVID-19 pandemic has disproportionately affected certain groups, such as older people (ie, >65 years), minority ethnic populations, and people with specific chronic conditions including diabetes, cardiovascular disease, kidney disease, and some respiratory diseases. There is now evidence of not only direct but also indirect adverse effects of COVID-19 in people with diabetes. Recurrent lockdowns and public health measures throughout the pandemic have restricted access to routine diabetes care, limiting new diagnoses, and affecting self-management, routine follow-ups, and access to medications, as well as affecting lifestyle behaviours and emotional wellbeing globally. Pre-pandemic studies have shown that short-term delays in delivery of routine care, even by 12 months, are associated with adverse effects on risk factor control and worse microvascular, macrovascular, and mortality outcomes in people with diabetes. Disruptions within the short-to-medium term due to natural disasters also result in worse diabetes outcomes. However, the true magnitude of the indirect effects of the COVID-19 pandemic on long-term outcomes and mortality in people with diabetes is still unclear. Disasters tend to exacerbate existing health disparities; as we recover ambulatory diabetes services in the aftermath of the pandemic, there is an opportunity to prioritise those with the greatest need, and to target resources and interventions aimed at improving outcomes and reducing inequality.

Cross-Sectional Study of the Impact of the COVID-Pandemic on Diabetes Management in Primary Care in Ontario, Canada

Background: This study describes the impact of the pandemic on the management of people with type 2 diabetes (PwT2D) in a primary care network with existing virtual care capabilities in Ontario, Canada. Methods: Using de-identified primary care electronic medical records, PwT2D who had at least one healthcare touchpoint between March 1, 2018 and February 28, 2021 were analyzed by time period (baseline: 2018-19, pre-COVID-19: 2019-20, COVID-19: 2020-21) . The primary outcome measures include the number of people with at least one visit, number of people with vital measurements or lab tests, and the vital or lab results. Results: The three time periods had a similar average age and gender distribution (Table 1) . Compared to the pre-COVID-period, fewer people had any healthcare touchpoint (17% reduction) . In-person visits were reduced while more people had virtual visits. Fewer people had test results recorded during the COVID-vs. two pre-COVID-time periods, however, average results were similar across all three time periods. Conclusion: Our study described the immediate impact of the COVID-pandemic on patterns of primary care for PwT2D. While the total number people getting tests remains below pre-pandemic levels, of those who sought care, the mean A1c, LDL-c and eGFR were comparable across the three time periods.

Real-world risk factors of confirmed or probable COVID-19 in Americans with diabetes: A prospective, community-based study (iNPHORM).

INTRODUCTION: Americans with diabetes are clinically vulnerable to worse COVID-19 outcomes; thus, insight into how to prevent infection is imperative. Using longitudinal, prospective data from the real-world iNPHORM study, we identify the intrinsic and extrinsic risk factors of confirmed or probable COVID-19 in people with type 1 or 2 diabetes. METHODS: The iNPHORM study recruited 1206 Americans (18-90 years) with insulin- and/or secretagogue-treated type 1 or 2 diabetes from a probability-based internet panel. Online questionnaires (screener, baseline and 12 monthly follow-ups) assessed COVID-19 incidence and various plausible intrinsic and extrinsic factors. Multivariable Cox regression was used to model the rate of COVID-19 (confirmed or probable). Risk factors were selected using a repeated backwards-selection 'voting' procedure. RESULTS: A sub-sample of 817 iNPHORM participants (type 1 diabetes: 16.9%; age: 52.1 [SD: 14.2] years; female: 50.2%) was analysed between May 2020 and March 2021. During this period, 13.7% reported confirmed or probable COVID-19. Age, body mass index, number of chronic comorbidities, most recent A1C, past severe hypoglycaemia, and employment status were selected in our final model. Body mass index ≥30 kg/m2 versus <30 kg/m2 (HR 1.63 [1.05; 2.52]95% CI ), and increased number of comorbidities (HR 1.16 [1.05; 1.27]95% CI ) independently predicted COVID-19 incidence. Marginally significant effects were observed for overall A1C (p = .06) and employment status (p = .07). CONCLUSIONS: This is the first US-based epidemiologic investigation to characterize community-based COVID-19 susceptibility in diabetes. Our results reveal specific and promising avenues to prevent COVID-19 in this at-risk population. CLINICALTRIALS: gov Identifier: NCT04219514.

COVID-19 hinterland: surveilling the self-reported impacts of the pandemic on diabetes management in the USA (cross-sectional results of the iNPHORM study).

MAIN OBJECTIVE: To determine how and to what extent COVID-19 has affected real-world, self-reported glycaemic management in Americans with type 1 or type 2 diabetes taking insulin and/or secretagogues, with or without infection. DESIGN: A cross-sectional substudy using data from the Investigating Novel Predictions of Hypoglycemia Occurrence using Real-world Models panel survey. SETTING: USA. PARTICIPANTS: Americans 18-90 years old with type 1 or 2 diabetes taking insulin and/or secretagogues were conveniently sampled from a probability-based internet panel. PRIMARY OUTCOME MEASURE: A structured, COVID-19-specific questionnaire was administered to assess the impact of the pandemic (irrespective of infection) on socioeconomic, behavioural/clinical and psychosocial aspects of glycaemic management. RESULTS: Data from 667 respondents (type 1 diabetes: 18%; type 2 diabetes: 82%) were analysed. Almost 25% reported A1c values ≥8.1%. Rates of severe and non-severe hypoglycaemia were 0.68 (95% CI 0.5 to 0.96) and 2.75 (95% CI 2.4 to 3.1) events per person-month, respectively. Ten respondents reported a confirmed or probable COVID-19 diagnosis. Because of the pandemic, 24% of respondents experienced difficulties affording housing; 28% struggled to maintain sufficient food to avoid hypoglycaemia; and 19% and 17% reported challenges accessing diabetes therapies and testing strips, respectively. Over one-quarter reported issues retrieving antihyperglycaemics from the pharmacy and over one-third reported challenges consulting with diabetes providers. The pandemic contributed to therapeutic non-adherence (14%), drug rationing (17%) and reduced monitoring (16%). Many struggled to keep track, and in control, of hypoglycaemia (12%-15%) and lacked social support to help manage their risk (19%). Nearly half reported decreased physical activity. Few statistically significant differences were observed by diabetes type. CONCLUSIONS: COVID-19 was found to cause substantial self-reported deficiencies in glycaemic management. Study results signal the need for decisive action to restabilise routine diabetes care in the USA. TRIAL REGISTRATION NUMBER: NCT04219514.