ABSTRACT
Background Patient-to-provider teledermatology relies on a patient's access to technology to ensure a successful visit. However, access to broadband internet and technology varies across populations in the United States—leading to the digital divide. While teledermatology has been recognized as a model to improve access, little is known about how often demographic data associated with digital inequity are captured in studies. Objective Given the expansion of teledermatology over the past decade, we sought to determine how often demographic data associated with digital inequity are reported in patient-to-provider teledermatology studies. Methods A scoping literature review search was conducted using the search term teledermatology in the following databases: PubMed, Embase, and the Cochrane Database of Systematic Reviews. All studies published between December 31, 2011, and December 31, 2021, that evaluated patient-to-provider teledermatology were eligible. Results In total, 1412 publications describing teledermatology were identified, of which 46 met the inclusion criteria. Race or ethnicity was the most frequently reported demographic characteristic (28/46, 61%). However, only 41% (19/46) of studies were representative of race or ethnicity, defined as including >20% nonwhite participants. Studies rarely reported the number of participants greater than 65 years of age (14/46, 30%), preferred language (9/46, 20%), income (6/46, 13%), highest level of education (5/46, 11%), or access to a device (4/46, 9%). Studies conducted after the onset of the COVID-19 pandemic were significantly more likely to report preferred language (9/25, 36% vs 0%;P=.002) and appeared more likely to report other demographic data associated with digital inequity, without reaching statistical significance (P>.05). Conclusions Demographic data associated with digital inequity are rarely reported in patient-to-provider teledermatology studies to date. These studies frequently lack adequate representation of racial and ethnic minorities. With increased calls for equitable representation in dermatology studies, future teledermatology studies can improve the reporting of race and ethnicity and consider demographic data associated with digital inequity as an important criterion in research design.
ABSTRACT
To: 1) characterize how COVID-19-related policies influence patient-clinician communication and relationships in the ICU, with attention to race and ethnicity as factors and 2) identify interventions that may facilitate patient-clinician communication. DESIGN: We conducted a qualitative study between September 2020 and February 2021 that explored facilitators and barriers to patient-clinician communication and the formation of therapeutic relationships. We used thematic analysis to develop findings describing patient-communication and therapeutic relationships within the ICU early in the COVID-19 pandemic. SETTING: We purposively selected hospital dyads from regions in the United States that experienced early and/or large surges of patients hospitalized with COVID-19. SUBJECTS: We recruited a national sample of ICU physicians from Veteran Affairs (VA) Health Care Systems and their associated academic affiliate hospitals. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Twenty-four intensivists from seven VA hospitals and six academic-affiliate hospitals participated. Intensivists noted the disproportionate impact of the pandemic on among people holding minoritized racial and ethnic identities, describing how language barriers and restrictive visitation policies exacerbated institutional mistrust and compromised physicians' ability to develop therapeutic relationships. We also identified several perceived influences on patient-clinician communication and the establishment of therapeutic relationships. Barriers included physicians' fear of becoming infected with COVID-19 and use of personal protective equipment, which created obstacles to effective physical and verbal interactions. Facilitators included the presence of on-site interpreters, use of web-based technology to interact with family members outside the ICU, and designation of a care team member or specialist service to provide routine updates to families. CONCLUSIONS: The COVID-19 pandemic has threatened patient-clinician communication and the development of therapeutic relationships in the ICU, particularly among people holding minoritized racial and ethnic identities and their families. We identified several facilitators to improve patient-clinician communication as perceived by intensivists that may help improve trust and foster therapeutic alliances.
ABSTRACT
Background: Patient-to-provider teledermatology relies on a patient's access to technology to ensure a successful visit. However, access to broadband internet and technology varies across populations in the United States-leading to the digital divide. While teledermatology has been recognized as a model to improve access, little is known about how often demographic data associated with digital inequity are captured in studies. Objective: Given the expansion of teledermatology over the past decade, we sought to determine how often demographic data associated with digital inequity are reported in patient-to-provider teledermatology studies. Methods: A scoping literature review search was conducted using the search term teledermatology in the following databases: PubMed, Embase, and the Cochrane Database of Systematic Reviews. All studies published between December 31, 2011, and December 31, 2021, that evaluated patient-to-provider teledermatology were eligible. Results: In total, 1412 publications describing teledermatology were identified, of which 46 met the inclusion criteria. Race or ethnicity was the most frequently reported demographic characteristic (28/46, 61%). However, only 41% (19/46) of studies were representative of race or ethnicity, defined as including >20% nonwhite participants. Studies rarely reported the number of participants greater than 65 years of age (14/46, 30%), preferred language (9/46, 20%), income (6/46, 13%), highest level of education (5/46, 11%), or access to a device (4/46, 9%). Studies conducted after the onset of the COVID-19 pandemic were significantly more likely to report preferred language (9/25, 36% vs 0%; P=.002) and appeared more likely to report other demographic data associated with digital inequity, without reaching statistical significance (P>.05). Conclusions: Demographic data associated with digital inequity are rarely reported in patient-to-provider teledermatology studies to date. These studies frequently lack adequate representation of racial and ethnic minorities. With increased calls for equitable representation in dermatology studies, future teledermatology studies can improve the reporting of race and ethnicity and consider demographic data associated with digital inequity as an important criterion in research design.
ABSTRACT
Importance: There is increasing recognition of the long-term health effects of SARS-CoV-2 infection (sometimes called long COVID). However, little is yet known about the clinical diagnosis and management of long COVID within health systems. Objective: To describe dominant themes pertaining to the clinical diagnosis and management of long COVID in the electronic health records (EHRs) of patients with a diagnostic code for this condition (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code U09.9). Design, Setting, and Participants: This qualitative analysis used data from EHRs of a national random sample of 200 patients receiving care in the Department of Veterans Affairs (VA) with documentation of a positive result on a polymerase chain reaction (PCR) test for SARS-CoV-2 between February 27, 2020, and December 31, 2021, and an ICD-10 diagnostic code for long COVID between October 1, 2021, when the code was implemented, and March 1, 2022. Data were analyzed from February 5 to May 31, 2022. Main Outcomes and Measures: A text word search and qualitative analysis of patients' VA-wide EHRs was performed to identify dominant themes pertaining to the clinical diagnosis and management of long COVID. Results: In this qualitative analysis of documentation in the VA-wide EHR, the mean (SD) age of the 200 sampled patients at the time of their first positive PCR test result for SARS-CoV-2 in VA records was 60 (14.5) years. The sample included 173 (86.5%) men; 45 individuals (22.5%) were identified as Black and 136 individuals (68.0%) were identified as White. In qualitative analysis of documentation pertaining to long COVID in patients' EHRs 2 dominant themes were identified: (1) clinical uncertainty, in that it was often unclear whether particular symptoms could be attributed to long COVID, given the medical complexity and functional limitations of many patients and absence of specific markers for this condition, which could lead to ongoing monitoring, diagnostic testing, and specialist referral; and (2) care fragmentation, describing how post-COVID-19 care processes were often siloed from and poorly coordinated with other aspects of care and could be burdensome to patients. Conclusions and Relevance: This qualitative study of documentation in the VA EHR highlights the complexity of diagnosing long COVID in clinical settings and the challenges of caring for patients who have or are suspected of having this condition.
Subject(s)
COVID-19 , Male , Humans , Middle Aged , Female , COVID-19/diagnosis , COVID-19/epidemiology , SARS-CoV-2 , Clinical Decision-Making , Uncertainty , Post-Acute COVID-19 SyndromeABSTRACT
BACKGROUND: The COVID-19 pandemic resulted in unprecedented adjustments to ICU organization and care processes globally. RESEARCH QUESTIONS: Did hospital emergency responses to the COVID-19 pandemic differ depending on hospital setting? Which strategies worked well to mitigate strain as perceived by intensivists? STUDY DESIGN AND METHODS: Between August and November 2020, we carried out semistructured interviews of intensivists from tertiary and community hospitals across six regions in the United States that experienced early or large surges of COVID-19 patients, or both. We identified themes of hospital emergency responses using the four S framework of acute surge planning: space, staff, stuff, system. RESULTS: Thirty-three intensivists from seven tertiary and six community hospitals participated. Clinicians across both settings believed that canceling elective surgeries was helpful to increase ICU capabilities and that hospitals should establish clearly defined thresholds at which surgeries are limited during future surge events. ICU staff was the most limited resource; staff shortages were improved by the use of tiered staffing models, just-in-time training for non-ICU clinicians, designated treatment teams, and deployment of trainees. Personal protective equipment (PPE) shortages and reuse were widespread, causing substantial distress among clinicians; hands-on PPE training was helpful to reduce clinicians' anxiety. Transparency and involvement of frontline clinicians as stakeholders were important components of effective emergency responses and helped to maintain trust among staff. INTERPRETATION: We identified several strategies potentially to mitigate strain as perceived by intensivists working in both tertiary and community hospital settings. Our study also demonstrated the importance of trust and transparency between frontline staff and hospital leadership as key components of effective emergency responses during public health crises.