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2.
Med Care ; 59(5): 456-460, 2021 05 01.
Article in English | MEDLINE | ID: covidwho-1169709

ABSTRACT

BACKGROUND: Telehealth services historically have played a small role in the provision of health care in the United States. However during the coronavirus disease 2019 (COVID-19) pandemic, public and private insurers rapidly expanded access to telehealth in order to reduce exposure and avoid transmission. It is unknown whether telehealth will become a more regular substitute for in-person care beyond the pandemic. OBJECTIVE: Our objective was to provide evidence on the value of telehealth by comparing the productivity of physicians and other specialized clinicians who provide telehealth with the productivity of those who do not. RESEARCH DESIGN: We conducted a retrospective data analysis of 17,705 unique providers in the areas of internal medicine, cardiology, dermatology, psychiatry, psychology, and optometry practicing in the US veterans affairs health care system during the period 2015 to 2018. For each year, we measured individual providers productivity by the total number of relative value units (RVUs) per full-time equivalent (FTE). We estimated the impact of providing telehealth on RVUs/FTE using fixed effects regression models estimated on a panel dataset of 58,873 provider-year observations and controlling for provider and patient characteristics. RESULTS: Overall provider productivity increased in veterans affairs over the period, particularly in cardiology and dermatology. Providers of telehealth had above average productivity by 124 RVUs/FTE, or ∼4% of average total provider productivity. For the highest quartile of telehealth providers, average productivity was 188 RVUs/FTE higher than productivity of other providers. CONCLUSION: Strategies that encourage long-term integration of telehealth into provider practices may contribute to overall health care value.


Subject(s)
COVID-19 , Efficiency , Health Personnel/statistics & numerical data , Relative Value Scales , Telemedicine , Female , Humans , Male , Middle Aged , Retrospective Studies , United States , United States Department of Veterans Affairs
3.
J Am Coll Radiol ; 17(11): 1453-1459, 2020 11.
Article in English | MEDLINE | ID: covidwho-1065250

ABSTRACT

PURPOSE: The operational and financial impact of the widespread coronavirus disease 2019 (COVID-19) curtailment of imaging services on radiology practices is unknown. We aimed to characterize recent COVID-19-related community practice noninvasive diagnostic imaging professional work declines. METHODS: Using imaging metadata from nine community radiology practices across the United States between January 2019 and May 2020, we mapped work relative value unit (wRVU)-weighted stand-alone noninvasive diagnostic imaging service codes to both modality and body region. Weekly 2020 versus 2019 wRVU changes were analyzed by modality, body region, and site of service. Practice share χ2 testing was performed. RESULTS: Aggregate weekly wRVUs ranged from a high of 120,450 (February 2020) to a low of 55,188 (April 2020). During that -52% wRVU nadir, outpatient declines were greatest (-66%). All practices followed similar aggregate trends in the distribution of wRVUs between each 2020 versus 2019 week (P = .96-.98). As a percentage of total all-practice wRVUs, declines in CT (20,046 of 63,992; 31%) and radiography and fluoroscopy (19,196; 30%) were greatest. By body region, declines in abdomen and pelvis (16,203; 25%) and breast (12,032; 19%) imaging were greatest. Mammography (-17%) and abdominal and pelvic CT (-14%) accounted for the largest shares of total all-practice wRVU reductions. Across modality-region groups, declines were far greatest for mammography (-92%). CONCLUSIONS: Substantial COVID-19-related diagnostic imaging work declines were similar across community practices and disproportionately impacted mammography. Decline patterns could facilitate pandemic second wave planning. Overall implications for practice workflows, practice finances, patient access, and payment policy are manifold.


Subject(s)
COVID-19/epidemiology , Diagnostic Imaging/statistics & numerical data , Workload/statistics & numerical data , Diagnostic Imaging/economics , Humans , Pandemics , Relative Value Scales , SARS-CoV-2 , United States/epidemiology , Workload/economics
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