Longitudinal Evaluation of a Deprescribing Protocol in Skilled Nursing Facilities.

Objective: To determine whether a deprescribing effort reduced several key classes of medications, and the overall number of medication classes per patient, among long-term residents of skilled nursing facilities (SNFs). Design: Retrospective, longitudinal pre/post evaluation. Data from before and during the implementation of the deprescribing effort (2017 through 2019) were compared with data from the post-intervention year (2020). Setting and Patients: Long-term resident data reported through annual comprehensive reviews conducted at two SNFs located in central New York State between 2017 and 2020 (N = 12,144). Interventions: Multifaceted, interdisciplinary deprescribing effort to reduce medications in SNF residence including clinician education, guideline development, and individual chart reviews began in 2019. Results: The mean number of medications prescribed per resident was lower at both facilities after the intervention (mean = 1.74 at both facilities) versus preintervention (1.90 at Facility 1, 1.86 at Facility 2). Significant decreases were observed in the usage rates for diuretics (-4.2%; P = 0.001), opioids (-3.8%; P = 0.001), and antipsychotics (-2.4%; P = 0.010). The raw antidepressant usage rate increased by 1.5% after the intervention but the change was not significant. Effects were robust to covariate adjustment. Conclusion: A combined, comprehensive approach to deprescribing was associated with a reduction in the overall number of medication classes per resident and in several key classes of medications. Additional research with more data and covariate control is in progress for verification of these findings.

Relationship between COVID-19 cases and vaccination rates in New York State counties.

Context: The presence of new viral variants, in combination with the relaxation of social distancing and other preventative measures, has led to a spike in COVID-19 cases in the United States. The development of COVID-19 vaccinations may reduce the impact of these viral variants on case rates in the population. Objective: To determine the impact of COVID-19 vaccination rates on cases/100k population in each New York State (NYS) county. Study Design: Cross-sectional analysis of COVID-19 cases/100k population per NYS county, frozen at a single snapshot in time. Descriptive statistics and bivariate correlations were conducted to determine vaccination rates across 62 NYS counties, and linear regression was used to examine the effect of vaccination rates on cases/100k, controlling for size of county population. Dataset & Setting: Vaccination rates per county shared by the NYS Department of Health using data reported to the NYS Immunization Information System and the New York City Citywide Immunization Registry. COVID-19 case rates per county available through the John Hopkins University website. Population: NYS residents across 62 counties on March 31st, 2021. Outcome Measures: COVID-19 vaccination rates across counties at a single point in time were compared with cases/100k population. Results: Percentages with 1 dose and with 2 doses are highly correlated (r=.935, p<.001) with one another, and county population size was strongly correlated with cases per 100k (r=.715, p<.001). Both the 1 dose and 2 dose rates were negatively correlated with cases per 100k population, although not significantly. However, the two-dose vaccination rate was a significant negative predictor of cases per 100k population in NYS Counties (ß= -.866, p=.031), with each percentage point of completed vaccination nearly equating to one case less in the daily count, when controlling for county population size (ß =2.732, p<.001). Conclusion: While COVID-19 variants may impact vaccine effectiveness, current vaccination efforts are helping forestall some cases in NYS. Widespread vaccination is still an important goal. Primary care providers, public officials, and public health scientists should continue to urgently promote and support vaccination efforts.

Relationship Between COVID-19 Cases and Vaccination Rates in New York State Counties.

INTRODUCTION: Vaccines against SARS-CoV-2 have been developed with unprecedented speed. The phased introduction of vaccines may be serving to offset the impact of new viral variants and policy relaxation. In order to assess the impact of vaccination, we examined a snapshot of vaccination rates across counties in a single state, at a single time point, comparing them with population-adjusted case counts. METHODS: We calculated descriptive statistics and bivariate correlations for vaccination rates and cases across counties in New York State (NYS). We conducted a linear regression using cases/100K population per NYS county, frozen at a single snapshot in time, as the outcome variable, predicted by percentage of each county's population (completed series/two doses), controlling for county population. RESULTS: Percentages with one dose and with two doses were highly correlated (r=.935, P<.001) with one another. Both the one dose and two dose z rates were negatively correlated with cases per 100K population (not significant). Population size was strongly correlated with cases per 100K (r=.715, P<.001). The two-dose vaccination rate was a significant negative predictor of cases per 100K population in NYS counties (ß= -.866, P=.031), with each percentage point of completed vaccination nearly equating to one case less in the daily count when controlling for county population size (ß =2.732, P<.001). CONCLUSION: While variants may impact vaccine effectiveness, current vaccination efforts are helping forestall some cases in NYS. Widespread vaccination is still an important goal. Primary care providers, public officials, and public health scientists should continue to urgently promote and support vaccination efforts.