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1.
J Am Acad Orthop Surg ; 30(18): 910-916, 2022 09 15.
Article in English | MEDLINE | ID: covidwho-2030263

ABSTRACT

INTRODUCTION: Socioeconomic factors may introduce barriers to telemedicine care access. This study examines changes in clinic absenteeism for orthopaedic trauma patients after the introduction of a telemedicine postoperative follow-up option during the COVID-19 pandemic with attention to patient socioeconomic status (SES). METHODS: Patients (n = 1,060) undergoing surgical treatment of pelvic and extremity trauma were retrospectively assigned to preintervention and postintervention cohorts using a quasi-experimental design. The intervention is the April 2020 introduction of a telemedicine follow-up option for postoperative trauma care. The primary outcome was the missed visit rate (MVR) for postoperative appointments. We used Poisson regression models to estimate the relative change in MVR adjusting for patient age and sex. SES-based subgroup analysis was based on the Area Deprivation Index (ADI) according to home address. RESULTS: The pre-telemedicine group included 635 patients; the post-telemedicine group included 425 patients. The median MVR in the pre-telemedicine group was 28% (95% confidence interval [CI], 10% to 45%) and 24% (95% CI, 6% to 43%) in the post-telemedicine group. Low SES was associated with a 40% relative increase in MVR (95% CI, 17% to 67%, P < 0.001) compared with patients with high SES. Relative MVR changes between pre-telemedicine and post-telemedicine groups did not reach statistical significance in any socioeconomic strata (low ADI, -6%; 95% CI, -25% to 17%; P = 0.56; medium ADI, -18%; 95% CI, -35% to 2%; P = 0.07; high ADI, -12%; 95% CI, -28% to 7%; P = 0.20). CONCLUSIONS: Low SES was associated with a higher MVR both before and after the introduction of a telemedicine option. However, no evidence in this cohort demonstrated a change in absenteeism based on SES after the introduction of the telemedicine option. Clinicians should be reassured that there is no evidence that telemedicine introduces additional socioeconomic bias in postoperative orthopaedic trauma care. LEVEL OF EVIDENCE: III.


Subject(s)
COVID-19 , Orthopedics , Telemedicine , Humans , Pandemics , Retrospective Studies , Socioeconomic Factors
2.
Contemp Clin Trials Commun ; 29: 100973, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1982874

ABSTRACT

Background: At the initiation of the COVID-19 pandemic, restrictions forced researchers to decide whether to continue their ongoing clinical trials. The PREPARE (Pragmatic Randomized Trial Evaluating Pre-Operative Alcohol Skin Solutions in Fractured Extremities) trial is a pragmatic cluster-randomized crossover trial in patients with open and closed fractures. PREPARE was enrolling over 200 participants per month at the initiation of the pandemic. We aim to describe how the COVID-19 research restrictions affected participant enrollment. Methods: The PREPARE protocol permitted telephone consent, however, sites were obtaining consent in-person. To continue enrollment after the initiation of the restrictions participating sites obtained ethics approval for telephone consent scripts and the waiver of a signature on the consent form. We recorded the number of sites that switched to telephone consent, paused enrollment, and the length of the pause. We used t-tests to compare the differences in monthly enrollment between July 2019 and November 2020. Results: All 19 sites quickly implement telephone consent. Fourteen out of nineteen (73.6%) sites paused enrollment due to COVID-19 restrictions. The median length of enrollment pause was 46.5 days (range, 7-121 days; interquartile range, 61 days). The months immediately following the implementation of restrictions had significantly lower enrollment. Conclusion: A pragmatic design allowed sites to quickly adapt their procedures for obtaining informed consent via telephone and allowed for minimal interruptions to enrollment during the pandemic.

3.
Am J Med ; 134(10): 1252-1259.e3, 2021 10.
Article in English | MEDLINE | ID: covidwho-1446365

ABSTRACT

BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic has led to widespread implementation of public health measures, such as stay-at-home orders, social distancing, and masking mandates. In addition to decreasing spread of severe acute respiratory syndrome coronavirus 2, these measures also impact the transmission of seasonal viral pathogens, which are common triggers of chronic obstructive pulmonary disease (COPD) exacerbations. Whether reduced viral prevalence mediates reduction in COPD exacerbation rates is unknown. METHODS: We performed retrospective analysis of data from a large, multicenter health care system to assess admission trends associated with community viral prevalence and with initiation of COVID-19 pandemic control measures. We applied difference-in-differences analysis to compare season-matched weekly frequency of hospital admissions for COPD prior to and after implementation of public health measures for COVID-19. Community viral prevalence was estimated using regional Centers for Disease Control and Prevention test positivity data and correlated to COPD admissions. RESULTS: Data involving 4422 COPD admissions demonstrated a season-matched 53% decline in COPD admissions during the COVID-19 pandemic, which correlated to community viral burden (r = 0.73; 95% confidence interval, 0.67-0.78) and represented a 36% greater decline over admission frequencies observed in other medical conditions less affected by respiratory viral infections (incidence rate ratio 0.64; 95% confidence interval, 0.57-0.71, P < .001). The post-COVID-19 decline in COPD admissions was most pronounced in patients with fewer comorbidities and without recurrent admissions. CONCLUSION: The implementation of public health measures during the COVID-19 pandemic was associated with decreased COPD admissions. These changes are plausibly explained by reduced prevalence of seasonal respiratory viruses.


Subject(s)
COVID-19/epidemiology , Communicable Disease Control , Hospitalization/statistics & numerical data , Pulmonary Disease, Chronic Obstructive/epidemiology , Respiratory Tract Diseases/epidemiology , Respiratory Tract Diseases/virology , Female , Humans , Male , Middle Aged , Pandemics , Prevalence , Retrospective Studies , SARS-CoV-2 , Seasons , Symptom Flare Up
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