Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
1.
Mayo Clin Proc Innov Qual Outcomes ; 7(3): 194-202, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-20239207

ABSTRACT

Objective: To compare the 1-year health care utilization and mortality in persons living with heart failure (HF) before and during the coronavirus disease 2019 (COVID-19) pandemic. Patients and Methods: Residents of a 9-county area in southeastern Minnesota aged 18 years or older with a HF diagnosis on January 1, 2019; January 1, 2020; and January 1, 2021, were identified and followed up for 1-year for vital status, emergency department (ED) visits, and hospitalizations. Results: We identified 5631 patients with HF (mean age, 76 years; 53% men) on January 1, 2019, 5996 patients (mean age, 76 years; 52% men) on January 1, 2020, and 6162 patients (mean age, 75 years; 54% men) on January 1, 2021. After adjustment for comorbidities and risk factors, patients with HF in 2020 and patients with HF in 2021 experienced similar risks of mortality compared with those in 2019. After adjustment, patients with HF in 2020 and 2021 were less likely to experience all-cause hospitalizations (2020: rate ratio [RR], 0.88; 95% CI, 0.81-0.95; 2021: RR, 0.90; 95% CI, 0.83-0.97) compared with patients in 2019. Patients with HF in 2020 were also less likely to experience ED visits (RR, 0.85; 95% CI, 0.80-0.92). Conclusion: In this large population-based study in southeastern Minnesota, we observed an approximately 10% decrease in hospitalizations among patients with HF in 2020 and 2021 and a 15% decrease in ED visits in 2020 compared with those in 2019. Despite the change in health care utilization, we found no difference in the 1-year mortality between patients with HF in 2020 and those in 2021 compared with those in 2019. It is unknown whether any longer-term consequences will be observed.

2.
Mayo Clinic proceedings Innovations, quality & outcomes ; 2023.
Article in English | EuropePMC | ID: covidwho-2299493

ABSTRACT

Objective To compare 1-year health care utilization and mortality between persons living with heart failure (HF) prior to vs. during the coronavirus disease 2019 (COVID-19) pandemic. Patients and Methods Residents of a 9-county area in southeastern Minnesota ≥18 years with a HF diagnosis on January 1, 2019, January 1, 2020, and January 1, 2021, were identified and followed 1-year for vital status, emergency department (ED) visits, and hospitalizations. Results We identified 5631 patients with HF (mean age 76, 53% male) on January 1, 2019, 5996 (mean age 76, 52% male) on January 1, 2020, and 6162 (mean age 75, 54% male) on January 1, 2021. After adjustment for comorbidities and risk factors, HF patients in 2020 had a similar risk of mortality compared to patients in 2019, as did patients in 2021. After adjustment, HF patients in 2020 and 2021 were less likely to have all-cause hospitalizations (2020 HR, 0.88;95% CI, 0.81-0.95;2021 HR, 0.90;95% CI, 0.83-0.97) compared to patients in 2019. HF patients in 2020 were also less likely to have ED visits (HR, 0.85;95% CI, 0.80-0.92). Conclusion In a large population-based study in southeastern MN, we observed an approximately 10% decrease in hospitalizations among patients with HF in 2020 and 2021, and a 15% decrease in ED visits in 2020 compared to 2019. Despite the change in health care utilization, we found no difference in 1-year mortality between patients with HF in 2020 or 2021. It is unknown if any longer-term consequences will be observed.

3.
BMC Public Health ; 23(1): 634, 2023 04 03.
Article in English | MEDLINE | ID: covidwho-2280509

ABSTRACT

BACKGROUND: Efforts to limit the spread of COVID-19 have included public space closures, mask usage, and quarantining. Studies regarding the impact of these measures on the psychosocial and behavioral health outcomes of the workforce have focused frequently on healthcare employees. To expand the literature base, we deployed a one-year longitudinal survey among mostly non-healthcare employees assessing changes in select psychosocial outcomes, health behaviors, and COVID-19-related transmission prevention behaviors and perceptions. METHODS: We deployed the CAPTURE baseline survey across eight companies from November 20, 2020-February 8, 2021. The baseline survey included questions on psychosocial outcomes, health behaviors, and COVID-19 transmission prevention behaviors, with several questions containing a retrospective component to cover the time period prior to the pandemic. Additional questions on vaccination status and social support were subsequently added, and the updated survey deployed to the same baseline participants at three, six, and 12 months after baseline survey deployment. We analyzed data descriptively and performed Friedman's and subsequent Wilcoxon-signed rank tests, as appropriate, to compare data within and between time points. RESULTS: A total of 3607, 1788, 1545, and 1687 employees completed the baseline, 3-month, 6-month, and 12-month CAPTURE surveys, respectively, with 816 employees completing all four time points. Employees reported higher stress, anxiety, fatigue, and feelings of being unsafe across all time points compared to pre-pandemic. Time spent sleeping increased initially but returned to pre-pandemic levels at follow-up. Lower rates of physical activity and higher rates of non-work screen time and alcohol consumption relative to pre-pandemic were also reported. Over 90% of employees perceived wearing a mask, physical distancing, and receiving the COVID-19 vaccine as 'moderately' or 'very important' in preventing the spread of COVID-19 across all time points. CONCLUSIONS: Relative to pre-pandemic, poorer psychosocial outcomes and worsened health behaviors were observed across all time points, with values worse at the baseline and 12-month time points when COVID-19 surges were highest. While COVID-19 prevention behaviors were consistently deemed to be important by employees, the psychosocial outcome and health behavior data suggest the potential for harmful long-term effects of the pandemic on the well-being of non-healthcare employees.


Subject(s)
COVID-19 , Adult , Humans , COVID-19/epidemiology , Pandemics/prevention & control , SARS-CoV-2 , Retrospective Studies , COVID-19 Vaccines , Longitudinal Studies , Workforce
4.
Mayo Clin Proc Innov Qual Outcomes ; 6(1): 77-85, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1560726

ABSTRACT

OBJECTIVE: To study associations between the Minnesota coronavirus disease 2019 (COVID-19) mitigation strategies on incidence rates of acute myocardial infarction (MI) or revascularization among residents of Southeast Minnesota. METHODS: Using the Rochester Epidemiology Project, all adult residents of a nine-county region of Southeast Minnesota who had an incident MI or revascularization between January 1, 2015, and December 31, 2020, were identified. Events were defined as primary in-patient diagnosis of MI or undergoing revascularization. We estimated age- and sex-standardized incidence rates and incidence rate ratios (IRRs) stratified by key factors, comparing 2020 to 2015-2019. We also calculated IRRs by periods corresponding to Minnesota's COVID-19 mitigation timeline: "Pre-lockdown" (January 1-March 11, 2020), "First lockdown" (March 12-May 31, 2020), "Between lockdowns" (June 1-November 20, 2020), and "Second lockdown" (November 21-December 31, 2020). RESULTS: The incidence rate in 2020 was 32% lower than in 2015-2019 (24 vs 36 events/100,000 person-months; IRR, 0.68; 95% CI, 0.62-0.74). Incidence rates were lower in 2020 versus 2015-2019 during the first lockdown (IRR, 0.54; 95% CI, 0.44-0.66), in between lockdowns (IRR, 0.70; 95% CI, 0.61-0.79), and during the second lockdown (IRR, 0.54; 95% CI, 0.41-0.72). April had the lowest IRR (IRR 0.48; 95% CI, 0.34-0.68), followed by August (IRR, 0.55; 95% CI, 0.40-0.76) and December (IRR, 0.56; 95% CI, 0.41-0.77). Similar declines were observed across sex and all age groups, and in both urban and rural residents. CONCLUSION: Mitigation measures for COVID-19 were associated with a reduction in hospitalizations for acute MI and revascularization in Southeast Minnesota. The reduction was most pronounced during the lockdown periods but persisted between lockdowns.

5.
Mayo Clin Proc Innov Qual Outcomes ; 5(6): 1089-1099, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1527800

ABSTRACT

OBJECTIVE: To investigate the impact of coronavirus disease 2019 (COVID-19) on psychosocial and behavioral responses of the non-health care workforce and to evaluate transmission prevention behavior implementation in the workplace. PARTICIPANTS AND METHODS: We deployed the baseline questionnaire of a prospective online survey from November 20, 2020, through February 8, 2021 to US-based employees. The survey included questions on psychosocial and behavioral responses in addition to transmission prevention behaviors (e.g., mask wearing). Select questions asked employees to report perceptions and behaviors before and during the COVID-19 pandemic. Data were analyzed descriptively and stratified by work from home (WFH) percentage. RESULTS: In total, 3607 employees from 8 companies completed the survey. Most participants (70.0%) averaged 90% or more of their time WFH during the pandemic. Employees reported increases in stress (54.0%), anxiety (57.4%), fatigue (51.6%), feeling unsafe (50.4%), lack of companionship (60.5%), and feeling isolated from others (69.3%) from before to during the pandemic. Productivity was perceived to decrease for 42.9% of employees and non-work-related screen time and alcohol consumption to increase for 50.7% and 25.1% of employees, respectively, from before to during the pandemic. Adverse changes were worse among those with lower WFH percentages. Most employees reported wearing a mask (98.2%), washing hands regularly (95.7%), and physically distancing (93.6%) in the workplace. CONCLUSION: These results suggest worsened psychosocial and behavioral outcomes from before to during the COVID-19 pandemic and higher transmission prevention behavior implementation among non-health care employees. These observations provide novel insight into how the COVID-19 pandemic has impacted non-health care employees.

SELECTION OF CITATIONS
SEARCH DETAIL