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1.
Contemp Clin Trials ; 119: 106834, 2022 08.
Artículo en Inglés | MEDLINE | ID: covidwho-1966416

RESUMEN

BACKGROUND: The CDC estimates that over 40% of Urgent Care visits are for acute respiratory infections (ARI), more than half involving inappropriate antibiotic prescriptions. Previous randomized trials in primary care clinics resulted in reductions in inappropriate antibiotic prescribing, but antibiotic stewardship interventions in telehealth have not been systematically assessed. To better understand how best to decrease inappropriate antibiotic prescribing for ARIs in telehealth, we are conducting a large randomized quality improvement trial testing both patient- and physician-facing feedback and behavioral nudges embedded in the electronic health record. METHODS: Teladoc® clinicians are assigned to one of 9 arms in a 3 × 3 randomized trial. Each clinician is assigned to one of 3 Commitment groups (Public, Private, Control) and one of 3 Performance Feedback groups (Benchmark Peer Comparison, Trending, Control). After randomly selecting ⅓ of states and associated clinicians required for patient-facing components of the Public Commitment intervention, remaining clinicians are randomized to the Control and Private Commitment arms. Clinicians are randomized to the Performance Feedback conditions. The primary outcome is change from baseline in antibiotic prescribing rate for qualifying ARI visits. Secondary outcomes include changes in inappropriate prescribing and revisit rates. Secondary analyses include investigation of heterogeneity of treatment effects. With 1530 clinicians and an intra-clinician correlation in antibiotic prescribing rate of 0.5, we have >80% power to detect 1-7% absolute differences in antibiotic prescribing among groups. DISCUSSION: Findings from this trial may help inform telehealth stewardship strategies, determine whether significant differences exist between Commitment and Feedback interventions, and provide guidance for clinicians and patients to encourage safe and effective antibiotic use. CLINICALTRIALS: gov: NCT05138874.


Asunto(s)
Infecciones del Sistema Respiratorio , Telemedicina , Antibacterianos , Registros Electrónicos de Salud , Humanos , Prescripción Inadecuada , Pautas de la Práctica en Medicina , Ensayos Clínicos Controlados Aleatorios como Asunto
2.
MMWR Morb Mortal Wkly Rep ; 69(43): 1595-1599, 2020 10 30.
Artículo en Inglés | MEDLINE | ID: covidwho-895758

RESUMEN

In February 2020, CDC issued guidance advising persons and health care providers in areas affected by the coronavirus disease 2019 (COVID-19) pandemic to adopt social distancing practices, specifically recommending that health care facilities and providers offer clinical services through virtual means such as telehealth.* Telehealth is the use of two-way telecommunications technologies to provide clinical health care through a variety of remote methods.† To examine changes in the frequency of use of telehealth services during the early pandemic period, CDC analyzed deidentified encounter (i.e., visit) data from four of the largest U.S. telehealth providers that offer services in all states.§ Trends in telehealth encounters during January-March 2020 (surveillance weeks 1-13) were compared with encounters occurring during the same weeks in 2019. During the first quarter of 2020, the number of telehealth visits increased by 50%, compared with the same period in 2019, with a 154% increase in visits noted in surveillance week 13 in 2020, compared with the same period in 2019. During January-March 2020, most encounters were from patients seeking care for conditions other than COVID-19. However, the proportion of COVID-19-related encounters significantly increased (from 5.5% to 16.2%; p<0.05) during the last 3 weeks of March 2020 (surveillance weeks 11-13). This marked shift in practice patterns has implications for immediate response efforts and longer-term population health. Continuing telehealth policy changes and regulatory waivers might provide increased access to acute, chronic, primary, and specialty care during and after the pandemic.


Asunto(s)
Infecciones por Coronavirus/epidemiología , Pandemias , Neumonía Viral/epidemiología , Telemedicina/estadística & datos numéricos , Telemedicina/tendencias , Adolescente , Adulto , COVID-19 , Niño , Preescolar , Femenino , Humanos , Lactante , Masculino , Persona de Mediana Edad , Factores de Tiempo , Estados Unidos/epidemiología , Adulto Joven
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