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1.
JAMA Surg ; 156(7): 620-626, 2021 07 01.
Article in English | MEDLINE | ID: covidwho-1573991

ABSTRACT

Importance: While telehealth use in surgery has shown to be feasible, telehealth became a major modality of health care delivery during the COVID-19 pandemic. Objective: To assess patterns of telehealth use across surgical specialties before and during the COVID-19 pandemic. Design, Setting, and Participants: Insurance claims from a Michigan statewide commercial payer for new patient visits with a surgeon from 1 of 9 surgical specialties during one of the following periods: prior to the COVID-19 pandemic (period 1: January 5 to March 7, 2020), early pandemic (period 2: March 8 to June 6, 2020), and late pandemic (period 3: June 7 to September 5, 2020). Exposures: Telehealth implementation owing to the COVID-19 pandemic in March 2020. Main Outcomes and Measures: (1) Conversion rate defined as the rate of weekly new patient telehealth visits divided by mean weekly number of total new patient visits in 2019. This outcome adjusts for a substantial decrease in outpatient care during the pandemic. (2) Weekly number of new patient telehealth visits divided by weekly number of total new patient visits. Results: Among 4405 surgeons in the cohort, 2588 (58.8%) performed telehealth in any patient care context. Specifically for new patient visits, 1182 surgeons (26.8%) used telehealth. A total of 109 610 surgical new outpatient visits were identified during the pandemic. The median (interquartile range) age of telehealth patients was 46.8 (34.1-58.4) years compared with 52.6 (38.3-62.3) years for patients who received care in-person. Prior to March 2020, less than 1% (8 of 173 939) of new patient visits were conducted through telehealth. Telehealth use peaked in April 2020 (week 14) and facilitated 34.6% (479 of 1383) of all new patient visits during that week. The telehealth conversion rate peaked in April 2020 (week 15) and was equal to 8.2% of the 2019 mean weekly new patient visit volume. During period 2, a mean (SD) of 16.6% (12.0%) of all new patient surgical visits were conducted via telehealth (conversion rate of 5.1% of 2019 mean weekly new patient visit volumes). During period 3, 3.0% (2168 of 71 819) of all new patient surgical visits were conducted via telehealth (conversion rate of 2.5% of 2019 new patient visit volumes). Mean (SD) telehealth conversion rates varied by specialty with urology being the highest (14.3% [7.7%]). Conclusions and Relevance: Results from this study showed that telehealth use grew across all surgical specialties in Michigan in response to the COVID-19 pandemic. While rates of telehealth use have declined as in-person care has resumed, telehealth use remains substantially higher across all surgical specialties than it was prior to the pandemic.


Subject(s)
COVID-19/epidemiology , Practice Patterns, Physicians'/statistics & numerical data , Specialties, Surgical , Telemedicine/statistics & numerical data , Cohort Studies , Humans , Michigan/epidemiology , Pandemics , SARS-CoV-2
2.
J Am Coll Surg ; 232(5): 682-689.e5, 2021 05.
Article in English | MEDLINE | ID: covidwho-1454247

ABSTRACT

BACKGROUND: If Asian American and Pacific Islanders (AAPIs) are not recognized within patients in health services research, we miss an opportunity to ensure health equity in patient outcomes. However, it is unknown what the rates are of AAPIs inclusion in surgical outcomes research. STUDY DESIGN: Through a scoping review, we used Covidence to search MEDLINE, EMBASE, PsycINFO, Web of Science, Scopus, and CINAHL for studies published in 2008-2018 using NSQIP data. NSQIP was chosen because of its national scope, widespread use in research, and coding inclusive of AAPI patients. We examined the proportion of studies representing AAPI patients in the demographic characteristics and Methods, Results, or Discussion section. We then performed multivariable logistic regression to examine associations between study characteristics and AAPI inclusion. RESULTS: In 1,264 studies included for review, 62% included race. Overall, only 22% (n = 278) of studies included AAPI patients. Of studies that included race, 35% represented AAPI patients in some component of the study. We found no association between sample size or publication year and inclusion. Studies were significantly more likely to represent AAPI patients when there was a higher AAPI population in the region of the first author's institution (lowest vs highest tercile; p < 0.001). Studies with a focus on disparities were more likely to include AAPI patients (p = 0.001). CONCLUSIONS: Our study is the first to examine AAPI representation in surgical outcomes research. We found < 75% of studies examine race, despite availability within NSQIP. Little more than one-third of studies including race reported on AAPI patients as a separate group. To provide the best care, we must include AAPI patients in our research.


Subject(s)
Asian/statistics & numerical data , Health Services Research/statistics & numerical data , Native Hawaiian or Other Pacific Islander/statistics & numerical data , Patient Selection , Specialties, Surgical/statistics & numerical data , Health Services Research/standards , Healthcare Disparities/statistics & numerical data , Humans , Patient Acceptance of Health Care/statistics & numerical data , Specialties, Surgical/organization & administration , Specialties, Surgical/standards , Treatment Outcome
3.
Acad Emerg Med ; 28(2): 172-183, 2021 02.
Article in English | MEDLINE | ID: covidwho-953238

ABSTRACT

BACKGROUND: Containment of the coronavirus disease 2019 (COVID-19) pandemic requires the public to change behavior under social distancing mandates. Social media are important information dissemination platforms that can augment traditional channels communicating public health recommendations. The objective of the study was to assess the effectiveness of COVID-19 public health messaging on Twitter when delivered by emergency physicians and containing personal narratives. METHODS: On April 30, 2020, we randomly assigned 2,007 U.S. adults to an online survey using a 2 × 2 factorial design. Participants rated one of four simulated Twitter posts varied by messenger type (emergency physician vs. federal official) and content (personal narrative vs. impersonal guidance). The main outcomes were perceived message effectiveness (35-point scale), perceived attitude effectiveness (PAE; 15-point scale), likelihood of sharing Tweets (7-point scale), and writing a letter to their governor to continue COVID-19 restrictions (write letter or none). RESULTS: The physician/personal (PP) message had the strongest effect and significantly improved all main messaging outcomes except for letter writing. Unadjusted mean differences between PP and federal/impersonal (FI) were as follows: perceived messaging effectiveness (3.2 [95% CI = 2.4 to 4.0]), PAE (1.3 [95% CI = 0.8 to 1.7]), and likelihood of sharing (0.4 [95% CI = 0.15 to 0.7]). For letter writing, PP made no significant impact compared to FI (odds ratio = 1.14 [95% CI = 0.89 to 1.46]). CONCLUSIONS: Emergency physicians sharing personal narratives on Twitter are perceived to be more effective at communicating COVID-19 health recommendations compared to federal officials sharing impersonal guidance.


Subject(s)
COVID-19 , Communication , Physicians , Public Health , Social Media , Adult , Humans , Information Dissemination , Personal Narratives as Topic , United States
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