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1.
J Am Board Fam Med ; 36(2): 339-343, 2023 04 03.
Article in English | MEDLINE | ID: covidwho-2253881

ABSTRACT

INTRODUCTION: The COVID-19 pandemic caused a disruption in the usual primary care services offered and received by patients. The objective of this study was to compare the impact of family medicine appointment cancellations on hospital utilization metrics both before and during the COVID-19 pandemic within a family medicine residency clinic. METHODS: This study is a retrospective chart review of cohorts of patients with a family medicine clinic cancellation who presented to the emergency department during a similar time period before and during the pandemic (March-May of 2019 vs March-May 2020). The patient population studied has multiple chronic diagnoses and prescriptions. Hospital admission, hospital readmission, and length of stay for hospitalizations during these periods were compared. The impacts of appointment cancellations on the emergency department presentation with subsequent inpatient admission, readmission, and length of stay were examined using generalized estimating equation (GEE) logistic or Poisson regression models to account for the lack of independence between patient outcomes. RESULTS: A total of 1878 patients were included in the final cohorts. Of these patients, 101 (5.7%) presented to the emergency department and/or hospital in both 2019 and 2020. An increased odds of readmission was associated with family medicine appointment cancellation regardless of year. The effects of appointment cancellations were not associated with admissions or length of stay between 2019 and 2020. CONCLUSION: Between the 2019 and 2020 cohorts, appointment cancellations were not associated with significant differences in likelihood of admission, readmission, or length of stay. A higher risk of readmission was associated with patients with a recent family medicine appointment cancellation.


Subject(s)
COVID-19 , Family Practice , Humans , Retrospective Studies , Pandemics , COVID-19/epidemiology , Patient Readmission , Hospitals , Length of Stay
2.
Fam Med ; 54(10): 769-775, 2022 11.
Article in English | MEDLINE | ID: covidwho-2111345

ABSTRACT

BACKGROUND AND OBJECTIVES: The COVID-19 pandemic accelerated virtual residency interview adoption. The impact of virtual interviews on program directors' (PD) National Residency Matching Program (NRMP) Match satisfaction, their future interview plans, and their perceptions about virtual interviews' influence on bias are unknown. We report the results of a survey of family medicine (FM) PDs about these topics after mandatory virtual interviews in 2020-2021. METHODS: A national survey of all FM PDs was conducted in April 2021 (n=619). The response rate was 46.37% (n=287). Questions asked whether PDs conducted virtual interviews, as well as PDs' general perceptions of virtual interviews' impact on administrative burden, diversity and bias; PD's ability to communicate program culture and assess applicants' alignment with program values; PD's satisfaction with Match results; and plans for interview structure postpandemic. RESULTS: Two hundred forty-four (93.1%) respondents performed only virtual interviews; 83.9% (n=220) conducting virtual interviews were satisfied with Match results, with no difference between programs with all virtual interviews vs others (OR 1.2, P=.994). PDs who communicated program values and involved residents in virtual interviews experienced higher Match satisfaction (OR 7.6, P<.001; OR 4.21, P=.001). PDs concerned about virtual interviews increasing bias against minorities before 2020 were still concerned after (OR 8.81, P<.001) and had lower Match satisfaction (OR 0.24, P=.001). CONCLUSIONS: Most FM PDs conducted entirely virtual interviews in 2020 and were satisfied with the Match. Interview processes including residents and conveying residency culture increased Match satisfaction. PDs are concerned about bias in virtual interviews, but more investigation about bias is needed.


Subject(s)
COVID-19 , Internship and Residency , Humans , Bias, Implicit , Pandemics , Surveys and Questionnaires
3.
Front Med (Lausanne) ; 9: 891375, 2022.
Article in English | MEDLINE | ID: covidwho-1869388

ABSTRACT

Background: Inflammation in the initial COVID-19 episode may be associated with post-recovery mortality. The goal of this study was to determine the relationship between systemic inflammation in COVID-19 hospitalized adults and mortality after recovery from COVID-19. Methods: An analysis of electronic health records (EHR) for patients from 1 January, 2020 through 31 December, 2021 was performed for a cohort of COVID-19 positive hospitalized adult patients. 1,207 patients were followed for 12 months post COVID-19 episode at one health system. 12-month risk of mortality associated with inflammation, C-reactive protein (CRP), was assessed in Cox regressions adjusted for age, sex, race and comorbidities. Analyses evaluated whether steroids prescribed upon discharge were associated with later mortality. Results: Elevated CRP was associated other indicators of severity of the COVID-19 hospitalization including, supplemental oxygen and intravenous dexamethasone. Elevated CRP was associated with an increased mortality risk after recovery from COVID-19. This effect was present for both unadjusted (HR = 1.60; 95% CI 1.18, 2.17) and adjusted analyses (HR = 1.61; 95% CI 1.19, 2.20) when CRP was split into high and low groups at the median. Oral steroid prescriptions at discharge were found to be associated with a lower risk of death post-discharge (adjusted HR = 0.49; 95% CI 0.33, 0.74). Discussion: Hyperinflammation present with severe COVID-19 is associated with an increased mortality risk after hospital discharge. Although suggestive, treatment with anti-inflammatory medications like steroids upon hospital discharge is associated with a decreased post-acute COVID-19 mortality risk.

4.
Prev Med Rep ; 27: 101769, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1747638

ABSTRACT

The COVID-19 pandemic resulted in rapid implementation of telehealth within primary care impacting cancer screening. We sought to assess the impact of increased telehealth use on physician recommendation for cancer screenings during the COVID-19 pandemic in North America. Primary care physicians (n = 757) were surveyed in Fall 2020 through the Council of Academic Family Medicine's Educational Research Alliance (CERA) general membership survey. Respondents were asked about cancer screening practices and telehealth services during the COVID-19 pandemic. Chi-squared tests were performed to assess relationships between cancer screening practices and changes in care necessitated by the shift to telehealth services. Associations between participant responses and those reporting a diminished patient-provider relationship were assessed with multivariable logistic regression. A substantial proportion of respondents reported postponing screening for breast (34.5%), colon (32.9%), and cervical cancer (31%), and a majority (51.1%) agreed changes in care seeking will lead to increased incidence of late stage cancer. Physicians reported high use of telehealth during the pandemic, but endorsed limitations in its use to maintain cancer screening practices and the patient-provider relationship. Physicians who reported patients were afraid to come into the office were more likely to report an impaired patient-provider relationship (OR = 2.77, 95% CI: 1.33 - 7.87). Physicians who reported that telehealth maintains their patient-provider relationship were less likely to report an impaired patient-provider relationship (OR = 0.33, 95% CI: 0.17 - 0.67). As telehealth becomes increasingly prominent, evaluation of the impact of telehealth on cancer screening and patient-provider relationships will be increasingly important for primary care.

5.
Front Med (Lausanne) ; 8: 778434, 2021.
Article in English | MEDLINE | ID: covidwho-1581286

ABSTRACT

Background: There are concerns regarding post-acute sequelae of COVID-19, but it is unclear whether COVID-19 poses a significant downstream mortality risk. The objective was to determine the relationship between COVID-19 infection and 12-month mortality after recovery from the initial episode of COVID-19 in adult patients. Methods: An analysis of electronic health records (EHR) was performed for a cohort of 13,638 patients, including COVID-19 positive and a comparison group of COVID-19 negative patients, who were followed for 12 months post COVID-19 episode at one health system. Both COVID-19 positive patients and COVID-19 negative patients were PCR validated. COVID-19 positive patients were classified as severe if they were hospitalized within the first 30 days of the date of their initial positive test. The 12-month risk of mortality was assessed in unadjusted Cox regressions and those adjusted for age, sex, race and comorbidities. Separate subgroup analyses were conducted for (a) patients aged 65 and older and (b) those <65 years. Results: Of the 13,638 patients included in this cohort, 178 had severe COVID-19, 246 had mild/moderate COVID-19, and 13,214 were COVID-19 negative. In the cohort, 2,686 died in the 12-month period. The 12-month adjusted all-cause mortality risk was significantly higher for patients with severe COVID-19 compared to both COVID-19 negative patients (HR 2.50; 95% CI 2.02, 3.09) and mild COVID-19 patients (HR 1.87; 95% CI 1.28, 2.74). The vast majority of deaths (79.5%) were for causes other than respiratory or cardiovascular conditions. Among patients aged <65 years, the pattern was similar but the mortality risk for patients with severe COVID-19 was increased compared to both COVID-19 negative patients (HR 3.33; 95% CI 2.35, 4.73) and mild COVID-19 patients (HR 2.83; 95% CI 1.59, 5.04). Patients aged 65 and older with severe COVID-19 were also at increased 12-month mortality risk compared to COVID-19 negative patients (HR 2.17; 95% CI 1.66, 2.84) but not mild COVID-19 patients (HR 1.41; 95% CI 0.84, 2.34). Discussion: Patients with a COVID-19 hospitalization were at significantly increased risk for future mortality. In a time when nearly all COVID-19 hospitalizations are preventable this study points to an important and under-investigated sequela of COVID-19 and the corresponding need for prevention.

6.
J Am Board Fam Med ; 34(5): 907-913, 2021.
Article in English | MEDLINE | ID: covidwho-1430644

ABSTRACT

INTRODUCTION: Reports of post-acute sequelae of COVID-19 continue to emerge, but it remains unclear how the severity of a patient's COVID-19 infection affects risk for future hospitalizations for non-COVID-19 problems. METHODS: An analysis of electronic health records (EHR) was performed for a cohort of 10,646 patients who were followed for 6 months post-COVID-19 episode at 1 health system. COVID-19-positive patients were classified as severe if they were hospitalized within the first 30 days of their initial positive test. Assessment of hospitalizations overall and conditions that could be seen as complications of COVID-19 (cardiovascular, respiratory, and clotting diagnoses) was assessed. The 6-month risk of a new hospitalization was assessed in both unadjusted and adjusted Cox regressions. RESULTS: Of the 10,646 patients included in this cohort,114 had severe COVID-19, 211 had mild/moderate COVID-19, and 10,321 were COVID-19 negative. After adjustment for potential confounding variables, there was no significantly increased risk in future hospitalization for any condition for patients who were COVID-19 positive versus those who were COVID-19 negative (HR, 1.31; 95% CI, 0.98-1.74). In adjusted analyses, individuals with severe COVID-19 had an increased risk of hospitalization for potential complications compared with both mild/moderate COVID-19 (HR, 2.20; 95% CI, 1.13-4.28) and COVID-19 negative patients (HR, 2.24; 95% CI, 1.52-3.30). DISCUSSION: Patients with a severe COVID-19 episode were at greater risk for future hospitalizations. This study reinforces the importance of preventing infection in patients at higher risk for severe COVID-19 cases.


Subject(s)
COVID-19 , Cohort Studies , Electronic Health Records , Hospitalization , Humans , SARS-CoV-2
7.
J Am Board Fam Med ; 34(Suppl): S179-S182, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1100017

ABSTRACT

INTRODUCTION: To date, there are no effective treatments for decreasing hospitalizations in Coronavirus disease 2019 (COVID-19) infections. It has been suggested that the influenza vaccine might attenuate the severity of COVID-19. METHODS: This is a retrospective single-centered cohort review of a de-identified database of 2005 patients over the age of 18 within the University of Florida health care system who tested positive for COVID-19. Comorbidities and influenza vaccination status were examined. The primary outcome was severity of disease as reflected by hospitalization and intensive care unit (ICU) admission. Logistic regression was performed to examine the relationship between influenza status and hospitalization. RESULTS: COVID-19-positive patients who had not received the influenza vaccination within the last year had a 2.44 (95% CI, 1.68, 3.61) greater odds of hospitalization and a 3.29 (95% CI, 1.18, 13.77) greater odds of ICU admission when compared with those who were vaccinated. These results were controlled to account for age, race, gender, hypertension, diabetes, chronic obstructive pulmonary disease, obesity, coronary artery disease, and congestive heart failure. DISCUSSION: Our analysis suggests that the influenza vaccination is potentially protective of moderate and severe cases of COVID-19 infection. This protective effect holds regardless of comorbidity. The literature points to a potential mechanism via natural killer cell activation. Though our data potentially is limited by its generalizability and our vaccination rate is low, it holds significant relevance given the upcoming influenza season. Not only could simply encouraging influenza vaccination decrease morbidity and mortality from the flu, but it might help flatten the curve of the COVID-19 pandemic as well. We encourage further studies into this finding.


Subject(s)
COVID-19/epidemiology , Hospitalization/statistics & numerical data , Influenza Vaccines/administration & dosage , Intensive Care Units/statistics & numerical data , Vaccination/statistics & numerical data , Adult , COVID-19/prevention & control , Case-Control Studies , Comorbidity , Databases, Factual , Female , Florida/epidemiology , Humans , Influenza Vaccines/immunology , Male , Middle Aged , Pandemics , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index
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