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Introduction: Telehealth has emerged as an important clinical setting for managing acute respiratory tract infections (ARIs), potentially reducing emergency department and urgent care overcrowding, and reducing nosocomial transmission. Many current algorithms for ARI management incorporate information on patient vital signs. However, the accuracy of vital signs collected by patients using readily available home devices and techniques has not been studied. Methods: A cross-sectional sample of patients seen for urgent conditions at a hospital emergency and urgent care center were given instructions and low-cost, readily available devices to collect their vital signs. A trained research coordinator collected a parallel set of vital signs using standard hospital equipment, serving as the gold standard. We analyzed the performance of patient-collected vital signs compared with vital signs collected by a trained research coordinator. Results: A total of 300 patients completed the study. Patient-collected vital signs were highly specific for traditional levels of abnormalities (HR >100 beats per min, RR >24 breaths per min, temperature >100.4 degrees Fahrenheit, oxygen saturation <94 percent); however, sensitivity was poor for elevated heart rate by pulse estimation (25%) and elevated respiratory rate (60%). Heart rate and oxygen saturation by pulse oximeter and oral temperature had higher sensitivity. Conclusions: Vital signs measured and provided by patients are not uniformly accurate, particularly when using manual techniques rather than automated devices. Telehealth algorithms that rely on these values could provide incorrect triage and management advice.
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BACKGROUND: As a third of all community dwellers aged 65+ fall each year, falls are common reasons for older adults to present to an Emergency Department (ED). Although EDs should assess patients' multifactorial fall risks to prevent future fall-related injuries, this frequently does not occur. We describe our protocol to determine the feasibility, acceptability, and safety of a pilot ED Virtual Observation Unit (VOU) Falls program. METHODS: To ensure standardized conduct and reporting, the Standard Protocol Items for Intervention Trials (SPIRIT) guidelines will be used. The VOU is a program where patients are sent home from the ED but are part of a virtual observation unit in that they can call on-call ED physicians while they are being treated for conditions such as cellulitis, congestive heart failure, or pneumonia. A paramedic conducts daily visits with the patient and facilitates a telemedicine consult with an ED physician. VOU nursing staff conduct daily assessments of patients via telemedicine. The ED VOU Falls program is one of the VOU pathways and is a multi-component fall prevention program for fall patients who present after an ED visit. The paramedic conducts a home safety evaluation, a Timed Up and Go Test (TUG). During the VOU visit, the ED physician conducts a telemedicine visit, while the paramedic is visiting the home, to review patients' fall-risk-increasing drugs and their TUG test. We will determine feasibility by calculating rates of patient enrollment refusal, and adherence to fall-risk prevention recommendations using information from 3-month follow-up telephone calls, as well as qualitative interviews with the paramedics. We will determine the acceptability of the ED VOU Falls program based on patient and provider surveys using a Likert scale. We will ask VOU nursing staff to report any safety issues encountered while the patient is in the ED VOU Falls program (e.g., tripping hazards). We will use the chi-square test or Fisher's exact test for categorical variables, Student's t-test for continuous variables, and Mann-Whitney for nonparametric data. We will review interview transcripts and generate codes. Codes will then be extracted and organized into concepts to generate an overall theme following grounded theory methods. This is a pilot study; hence, results cannot be extrapolated. However, a definite trial would be the next step in the future to determine if such a program could be implemented as part of fall prevention interventions. DISCUSSION: This study will provide insights into the feasibility and acceptability of a novel ED VOU Falls program with the aim of ultimately decreasing falls. In the future, such a program could be implemented as part of fall prevention interventions.
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Introduction: The Virtual Observation Unit (VOU) utilizes telehealth and community paramedicine to provide observation-level care in patients' homes. Patients' experience of this novel program has not been reported. Methods: A phone-based patient experience survey was administered to the patients who were admitted to the VOU at an urban, academic Emergency Department in the Northeast United States. The survey asked about patient's perception of the program's quality of care (0 = worst care possible, 10 = best care possible). t Tests with a Bonferroni adjustment assessed for differences between patient demographic groups. Results: The survey response rate was 40% (124/307). Overall mean scores for perceived quality of care were very high (9.51 ± 1.19). There were no significant differences in patient's perception of quality of care between demographic cohorts of age, gender, race, or ethnicity. Conclusions: Patient experience with a novel VOU program was very positive and did not differ significantly by demographic cohort. Further research is warranted.
Subject(s)
Emergency Service, Hospital , Patient Satisfaction , Humans , Male , Female , Middle Aged , Adult , Aged , Quality of Health Care , Telemedicine , Home Care Services/organization & administration , New England , Young Adult , Perception , Aged, 80 and over , Clinical Observation UnitsABSTRACT
STUDY OBJECTIVE: We implemented a virtual observation unit in which emergency department (ED) patients receive observation-level care at home. Our primary aim was to compare this new care model to in-person observation care in terms of brick-and-mortar ED length of stay (inclusive of ED observation unit time) as well as secondarily on inpatient admission and 72-hour return visits (overall and with admission). METHODS: In a retrospective analysis of electronic health record data on ED observation patients from January 1, 2022 to December 29, 2022 from an academic urban ED, we used propensity matching to compare virtual to in-person observation patients on outcomes of interest. Patients were matched 1:1 based on age, sex, Charlson Comorbidity Index, and reason for observation. We also conducted real-time review of all virtual observation cases for potential safety concerns. RESULTS: Of 8,218 observation stays, 361 virtual observation patients were matched with 361 in-person observation patients. Virtual observation patients experienced lower median brick-and-mortar ED + EDOU LOS [14.6 (IQR 10.2, 18.9) versus 33.3 (IQR 28.1, 38.1) hours] and lower inpatient admission rates (10.2% [SD 5.0] versus 24.7% [SD 11.3]). The 72-hour return rate was higher for virtual observation patients (3.6% [SD 3.0] versus 2.5% [SD 3.0]). Among those with return visits, the rate of inpatient admission was higher among virtual observation patients (53.8% [SD 3.2] versus 11.1% [13.0]). There were no significant patient safety events recorded. CONCLUSION: Virtual observation unit patients used fewer hours in ED and ED observation relative to on-site observation patients. This new care delivery model warrants further study because it has the potential to positively impact ED capacity.
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BACKGROUND: Experts estimate virtual urgent care programs could replace approximately 20% of current emergency department visits. In the absence of widespread quality guidance to programs or quality reporting from these programs, little is known about the state of virtual urgent care quality monitoring initiatives. OBJECTIVE: We sought to characterize ongoing quality monitoring initiatives among virtual urgent care programs. APPROACH: Semi-structured interviews of virtual health and health system leaders were conducted using a pilot-tested interview guide to assess quality metrics captured related to care effectiveness and equity as well as programs' motivations for and barriers to quality measurement. We classified quality metrics according to the National Quality Forum Telehealth Measurement Framework. We developed a codebook from interview transcripts for qualitative analysis to classify motivations for and barriers to quality measurement. KEY RESULTS: We contacted 13 individuals, and ultimately interviewed eight (response rate, 61.5%), representing eight unique virtual urgent care programs at primarily academic (6/8) and urban institutions (5/8). Most programs used quality metrics related to clinical and operational effectiveness (7/8). Only one program reported measuring a metric related to equity. Limited resources were most commonly cited by participants (6/8) as a barrier to quality monitoring. CONCLUSIONS: We identified variation in quality measurement use and content by virtual urgent care programs. With the rapid growth in this approach to care delivery, more work is needed to identify optimal quality metrics. A standardized approach to quality measurement will be key to identifying variation in care and help focus quality improvement by virtual urgent care programs.
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Telemedicine , Humans , Telemedicine/standards , Telemedicine/methods , Ambulatory Care/standards , Quality of Health Care/standards , Motivation , Quality Indicators, Health CareABSTRACT
STUDY OBJECTIVE: Interemergency department pediatric transfers can be costly, involve risk, and may be disruptive to patients and families. Telehealth could be a way to safely reduce the number of transfers. We made an estimate of the proportion of transfers of pediatric patients to our emergency department (ED) that may have been avoidable using telehealth. METHODS: This was a retrospective analysis of electronic health record data of all pediatric patients (younger than 19 years) who were transferred to a single urban, academic medical center pediatric emergency department (PED) (annual pediatric volume approximately 15,000) between June 1, 2016, and December 29, 2021. We defined transfers as potentially avoidable with telehealth (the primary outcome) when the encounter at the receiving ED resulted in ED discharge and 1) met our definition of low-resource intensity (had no laboratory tests, diagnostic imaging, procedures, or consultations) or 2) could have used initial ED resources with telehealth guidance. RESULTS: Among 4,446 PED patients received in transfer during the study period, 406 (9%) were low-resource intensity. Of the non-low-resource intensity encounters, as many as another 1,103 (24.8%) potentially could have been avoided depending on available telehealth and initial ED resources, ranging from 210 (4.7%) with only telehealth specialty consultation to 538 (7.4%) with imaging and telehealth specialty consultation, and up to 1,034 (23.3%) with laboratory, imaging, and telehealth specialty consultation. CONCLUSION: Our results suggest that depending on available telehealth and initial ED resources, between 9% and 33% of pediatric inter-ED transfers may have been avoidable. This information may guide health system design and PED operations when considering implementing pediatric telehealth.
Subject(s)
Patient Discharge , Telemedicine , Child , Humans , Retrospective Studies , Patient Transfer , Emergency Service, HospitalABSTRACT
Objective: Telehealth capacity may be an important component of pandemic response infrastructure. We aimed to examine changes in the telehealth use by the US emergency departments (EDs) during COVID-19, and to determine whether existing telehealth infrastructure or increased system integration were associated with increased likelihood of use. Methods: We analyzed 2016-2020 National ED Inventory (NEDI)-USA data, including ED characteristics and nature of telehealth use for all US EDs. American Hospital Association data characterized EDs' system integration. An ordinary least-squares regression model obtained one-step-ahead forecast of the expected proportion of EDs using telehealth in 2020 based on growth observed from 2016 to 2019. Among EDs without telehealth in 2019, we used logistic regression models to examine whether system membership or existing telehealth infrastructure were associated with odds of innovation in telehealth use in 2020, accounting for ED characteristics. Results: Of 4,038 EDs responding to telehealth questions in 2019 and 2020 (73% response rate), 3,015 used telehealth in 2020. Telehealth use by US EDs increased more than expected in 2020 (2016: 58%, 2017: 61%, 2018: 65%, 2019: 67%, 2020: 74%, greater than predicted 71%, p = 0.004). Existing telehealth infrastructure was associated with increased telehealth innovation (OR = 1.88, 95% CI: 1.49-2.36), whereas hospital system membership was not (odds ratio [OR] = 1.00, 95% confidence interval [CI]: 0.80-1.25). Conclusions: Telehealth use by US EDs in 2020 grew more than expected and preexisting telehealth infrastructure was associated with increased innovation in its use. Preparation for future pandemic responses may benefit from considering strategies to invest in local infrastructure to facilitate technology adoption and innovation.
Subject(s)
COVID-19 , Telemedicine , United States/epidemiology , Humans , COVID-19/epidemiology , Pandemics , Emergency Service, Hospital , HospitalsABSTRACT
Persons living with dementia (PLWD) have high emergency department (ED) utilization. Little is known about using telemedicine with PLWD and caregivers as an alternative to ED visits for minor acute health problems. This qualitative interview-based study elicited caregivers' perspectives about the acceptability of telemedicine for acute complaints. We performed telephone interviews with 28 caregivers of PLWD from two academic EDs, one in the Northeast and another in the South. Using a combined deductive-inductive approach, we coded interview transcripts and elucidated common themes by consensus. All caregivers reported they would need to participate in the telemedicine visit to help overcome communication and digital literacy challenges. People from racial/ethnic minority groups reported lower comfort with the virtual format. In both sites, participants expressed uncertainty about illness severity that could preclude using telemedicine for acute complaints. Overall, respondents deemed acute care telemedicine acceptable, but caregivers describe specific roles as crucial intermediaries to facilitate virtual care.
Subject(s)
Dementia , Telemedicine , Humans , Caregivers , Ethnicity , Minority GroupsABSTRACT
Introduction: Little exists in the literature describing video-based telehealth training, especially for practicing Emergency Physicians. Materials and methods: This was a retrospective, pre- and post-assessment of physicians' knowledge and confidence on video-based telehealth after two simulated telehealth encounters. Attending physicians voluntarily participated in Zoom-based trainings and received feedback from the patient actors immediately after each simulation. Post-experience surveys queried participants on the training, aspects of telehealth, and confidence in features of optimal telehealth practice. Results: The survey had 100% response rate (13/13 physicians). Participants recommended the simulated training experience, mean of 8.38 (SD 1.89; 0 = Not at all likely, 10 = Extremely likely). Pre- and post-response means increased in two questions: "I can describe at least two ways to improve my video-based clinical care": delta: 1.54, t(12) = 3.83, p = 0.002, Cohen's d effect size of 1.06, and "I know when video-based telehealth could be helpful in clinical practice": delta: 0.99, t(12) = 3.09, p = 0.009, Cohen's d effect size of 0.86. Conclusion: In this pilot, participants viewed telehealth more favorably after the experience and indicated improved confidence in focused telehealth skills. Further study is needed to determine what simulated case content provides the most value for decision-making via telehealth.
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Objective: There is limited evidence on the reliability of video-based physical examinations. We aimed to evaluate the safety of a remote physician-directed abdominal examination using tablet-based video. Methods: This was a prospective observational pilot study of patients >19 years old presenting with abdominal pain to an academic emergency department July 9, 2021-December 21, 2021. In addition to usual care, patients had a tablet video-based telehealth history and examination by an emergency physician who was otherwise not involved in the visit. Both telehealth and in-person clinicians were asked about the patient's need for abdominal imaging (yes/no). Thirty-day chart review searched for subsequent ED visits, hospitalizations, and procedures. Our primary outcome was agreement between telehealth and in-person clinicians on imaging need. Our secondary outcome was potentially missed imaging by the telehealth physicians leading to morbidity or mortality. We used descriptive and bivariate analyses to examine characteristics associated with disagreement on imaging needs. Results: Fifty-six patients were enrolled; the median age was 43 years (interquartile range: 27-59), 31 (55%) were female. The telehealth and in-person clinicians agreed on the need for imaging in 42 (75%) of the patients (95% confidence interval [CI]: 62%-86%), with moderate agreement with Cohen's kappa ((k = 0.41, 95% CI: 0.15-0.67). For study patients who had a procedure within 24 hours of ED arrival (n = 3, 5.4%, 95% CI: 1.1%-14.9%) or within 30 days (n = 7, 12.5%, 95% CI: 5.2%-24.1%), neither telehealth physicians nor in-person clinicians missed timely imaging. Conclusion: In this pilot study, telehealth physicians and in-person clinicians agreed on the need for imaging for the majority of patients with abdominal pain. Importantly, telehealth physicians did not miss the identification of imaging needs for patients requiring urgent or emergent surgery.
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We performed a retrospective cohort study of patients admitted to a novel, home-based COVID Virtual Observation Unit (CVOU) from an urban, university-affiliated emergency department with â¼112,000 annual visits. Telephone-based survey questions were administered by nursing staff working with the program. Of 402 patients enrolled in the CVOU, 221 (55%) were able to be contacted during the study period; 180 (45%) agreed to participate in the telephone interview. Overall, 95% (169 out of 177) of the surveyed patients reported 8 to 10 on the likelihood to recommend CVOU and 82% (100 out of 122) rated the quality of care as 10 out of 10. Over 90% of respondents reported that all role groups (nurses, paramedics, and physicians) treated them with courtesy and respect, explained things in an understandable way, and listened to them carefully. Over 80% of respondents reported that the program kept them at home. In summary, patient experiences with this novel home-based care program were highly positive. These data help underscore the importance of patient-centeredness in home-based care, and further support the concept of these innovative care models.
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Given the significant advance of virtual care in the past year and half, it seems timely to focus on quality frameworks and how they have evolved collaboratively across health care organizations. Massachusetts General Hospital's (MGH) Center for TeleHealth and Mass General Brigham's (MGB) Virtual Care Program are committed to hosting annual symposia on key topics related to virtual care. Subject matter experts across the country, health care organizations, and academic medical centers are invited to participate. The inaugural MGH/MGB Virtual Care Symposium, which focused on rethinking curriculum, competency, and culture in the virtual care era, was held on September 2, 2020. The second MGH/MGB Virtual Care Symposium was held on November 2, 2021, and focused on virtual care quality frameworks. Resultant topics were (1) guiding principles necessary for the future of virtual care measurement; (2) best practices deployed to measure quality of virtual care and how they compare and align with in-person frameworks; (3) evolution of quality frameworks over time; (4) how increased adoption of virtual care has impacted patient access and experience and how it has been measured; (5) the pitfalls and barriers which have been encountered by organizations in developing virtual care quality frameworks; and (6) examples of how quality frameworks have been applied in various use cases. Common elements of a quality framework for virtual care programs among symposium participants included improving the patient and provider experience, a focus on achieving health equity, monitoring success rates and uptime of the technical elements of virtual care, financial stewardship, and clinical outcomes. Virtual care represents an evolution in the access to care paradigm that helps keep health care aligned with other modern industries in digital technology and systems adoption. With advances in health care delivery models, it is vitally important that the quality measurement systems be adapted to include virtual care encounters. New methods may be necessary for asynchronous transactions, but synchronous virtual visits and consults can likely be accommodated in traditional quality frameworks with minimal adjustments. Ultimately, quality frameworks for health care will adapt to hybrid in-person and virtual care practices.
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The COVID-19 pandemic pushed hospitals to deliver care outside of their four walls. To successfully scale virtual care delivery, it is important to understand how its implementation affects frontline workers, including their teamwork and patient-provider interactions. We conducted in-depth interviews of 17 clinicians and staff involved with the COVID-19 Virtual Observation Unit (CVOU) in the emergency department (ED) of an academic hospital. The program leveraged remote patient monitoring and mobile integrated health care. In the CVOU (vs. the ED), participants observed increases in interactions among clinicians and staff, patient participation in care delivery, attention to nonmedical factors, and involvement of coordinators and paramedics in patient care. These changes were associated with unintended, positive consequences for staff, namely, feeling heard, experience of meaningfulness, and positive attitudes toward virtual care. This study advances research on reconfiguration of roles following implementation of new practices using digital tools, virtual work interactions, and at-home care delivery.
Subject(s)
COVID-19 , Emergency Medicine , Humans , Pandemics , Clinical Observation Units , Emergency Service, HospitalABSTRACT
There is little evidence on the reliability of the video-based telehealth physical examinations. Our objective was to evaluate the feasibility of a physician-directed abdominal examination using telehealth. This was a prospective, blinded observational study of patients >19 years of age presenting with abdominal pain to a large, academic emergency department. In addition to their usual care, patients had a video-based telehealth examination by an emergency physician early in the visit. We compared the in-person and telehealth providers' decisions on imaging. Thirty patients were enrolled and providers' recommendations for imaging were YES (telehealth: 18 (60%); in-person: 22 (73%)), UNSURE (telehealth: 9 (30%); in-person: 2 (7%)) and NO (telehealth: 6 (20%); in-person: 3 (10%)). There were 20 patients for whom both telehealth and in-person providers were not unsure; of these, 16 (80%, 95% confidence interval 56.3-94.3%) patients had a provider agreement on the need for imaging. While the use of video-based telehealth may be feasible for patients seeking emergency department care for abdominal pain, further study is needed to determine how it may be safely deployed. Currently, caution should be exercised when evaluating the need for abdominal imaging remotely.
Subject(s)
Telemedicine , Humans , Prospective Studies , Reproducibility of Results , Physical Examination , Abdomen , Abdominal Pain/diagnostic imagingABSTRACT
STUDY OBJECTIVE: Emergency clinician-staffed telehealth programs seek to provide equitable, safe, efficient, effective, and patient-centered care. However, early studies show conflicting evidence on whether this aim is accomplished. Furthermore, how programs track the efficacy and safety of their programs remains largely unexplored. We sought to characterize ongoing quality monitoring among emergency clinician-staffed telehealth programs. METHODS: We identified representatives at emergency clinician-staffed telehealth programs through professional networks and published literature. Qualitative interviews were conducted, assessing quality metrics captured as well as motivations for and barriers to quality measurement. We classified quality metric measurement using the National Quality Forum Telehealth Measurement Framework Domains and Subdomains. We developed a codebook from interview transcripts for qualitative analysis to classify motivations for and barriers to quality measurement. RESULTS: We held 8 qualitative interviews with physician representatives at primarily academic (7/8) and urban institutions (5/8). Most widely used quality metrics were related to patient and care team experience (7/8) as well as to access to care (6/8) and effectiveness (6/8). Few programs (2/8) measured finance-related quality metrics. Motivations for quality measurement varied considerably. Common barriers to implementation included technology challenges, data availability, and the lack of quality metric standardization. CONCLUSION: We identified variation in the use and content of quality metrics across emergency clinician-staffed telehealth programs. Most commonly, programs used metrics related to clinical experience; financial metrics were rarely captured. Technology barriers to quality measurement were often cited across programs. Further work is needed to support the standardization and implementation of future quality measurement initiatives.
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Physicians , Telemedicine , Humans , Patient-Centered CareABSTRACT
BACKGROUND: Telehealth for emergency stroke care delivery (telestroke) has had widespread adoption, enabling many hospitals to obtain stroke center certification. Telehealth for pediatric emergency care has been less widely adopted. OBJECTIVE: Our primary objective was to determine whether differences in policy or certification requirements contributed to differential uptake of telestroke versus pediatric telehealth. We hypothesized that differences in financial incentives, based on differences in patient volume, prehospital routing policy, and certification requirements, contributed to differential emergency department (ED) adoption of telestroke versus pediatric telehealth. METHODS: We used the 2016 National Emergency Department Inventory-USA to identify EDs that were using telestroke and pediatric telehealth services. We surveyed all EDs using pediatric telehealth services (n=339) and a convenience sample of the 1758 EDs with telestroke services (n=366). The surveys characterized ED staffing, transfer patterns, reasons for adoption, and frequency of use. We used bivariate comparisons to examine differences in reasons for adoption and use between EDs with only telestroke services, only pediatric telehealth services, or both. RESULTS: Of the 442 EDs surveyed, 378 (85.5%) indicated use of telestroke, pediatric telehealth, or both. EDs with both services were smaller in bed size, volume, and ED attending coverage than those with only telestroke services or only pediatric telehealth services. EDs with telestroke services reported more frequent use, overall, than EDs with pediatric telehealth services: 14.1% (45/320) of EDs with telestroke services reported weekly use versus 2.9% (8/272) of EDs with pediatric telehealth services (P<.001). In addition, 37 out of 272 (13.6%) EDs with pediatric telehealth services reported no consults in the past year. Across applications, the most frequently selected reason for adoption was "improving level of clinical care." Policy-related reasons (ie, for compliance with outside certification or standards or for improving ED performance on quality metrics) were rarely indicated as the most important, but these reasons were indicated slightly more often for telestroke adoption (12/320, 3.8%) than for pediatric telehealth adoption (1/272, 0.4%; P=.003). CONCLUSIONS: In 2016, more US EDs had telestroke services than pediatric telehealth services; among EDs with the technology, consults were more frequently made for stroke than for pediatric patients. The most frequently indicated reason for adoption among all EDs was related to clinical care.
Subject(s)
Emergency Medical Services , Stroke , Telemedicine , Child , Emergency Service, Hospital , Humans , Referral and Consultation , Stroke/therapyABSTRACT
INTRODUCTION: Telehealth is commonly used to connect emergency department (ED) patients with specialists or resources required for their care. Its infrastructure requires substantial upfront and ongoing investment from an ED or hospital and may be more difficult to implement in lower-resourced settings. Our aim was to examine for an association between ED payer mix and receipt of telehealth services. METHODS: Using data from the National Emergency Department Inventory (NEDI)-USA 2016 survey, we categorized EDs based on receipt of telehealth services (yes/no). The NEDI-USA data for EDs in New York state was linked with data from state ED datasets (SEDD) and state inpatient data (SID) to determine EDs' payer mix (percent self-pay or Medicaid). Other ED characteristics of interest were rural location, academic status, and annual ED visit volume. We compared EDs with and without telehealth receipt, and used a logistic regression model to examine the relationship between ED payer mix and telehealth receipt after accounting for other ED characteristics. RESULTS: Of the 162 New York EDs in the SEDD-SID dataset, 160 (99%) were linked to the NEDI-USA dataset and 133 of those responded (83%) to the survey. Telehealth receipt was reported by 48 EDs (36%, 95% confidence interval [CI], 28-44%). Emergency departments with and without telehealth receipt were similar (all P >0.40) with respect to rurality (6% vs 9%, respectively), academic status (13% vs 8%), and annual volume (median 36,728 vs 43,000). By contrast, median percent of Medicaid or self-pay patients was lower in telehealth EDs (36%) vs non-telehealth EDs (45%, P = 0.02). In adjusted analysis, increasing proportion of Medicaid and self-pay patients was associated with decreased odds of telehealth receipt (odds ratio 0.87 per 5% increase; 95% CI, 0.77-0.99). Rural location, academic status, and ED volume were not significantly associated with odds of ED telehealth receipt in the adjusted model. CONCLUSION: Among EDs in the state of New York, increasing proportion of self-pay and Medicaid patients was associated with decreased odds of ED telehealth receipt, even after accounting for rural location, academic status, and ED volume. The findings support the need for additional infrastructural investment in EDs serving a greater proportion of disadvantaged patients to ensure equitable access.
Subject(s)
Emergency Service, Hospital , Telemedicine , Humans , Medicaid , Rural Population , United States , Vulnerable PopulationsABSTRACT
Virtual care, introduced previously as a replacement for in-person visits, is now being integrated into clinical care delivery models to complement in-person visits. The COVID-19 pandemic sped up this process. The rapid uptake of virtual care at the start of the pandemic prevented educators from taking deliberate steps to design the foundational elements of the related learning environment, including workflow, competencies, and assessment methods. Educators must now pursue an informed and purposeful approach to design a curriculum and implement virtual care in the learning environment. Engaging learners in virtual care offers opportunities for novel ways to teach and assess their performance and to effectively integrate technology such that it is accessible and equitable. It also offers opportunities for learners to demonstrate professionalism in a virtual environment, to obtain a patient's history incorporating interpersonal and communication skills, to interact with multiple parties during a patient encounter (patient, caregiver, translator, telepresenter, faculty member), to enhance physical examination techniques via videoconferencing, and ideally to optimize demonstrations of empathy through "webside manner." Feedback and assessment, important features of training in any setting, must be timely, specific, and actionable in the new virtual care environment. Recognizing the importance of integrating virtual care into education, leaders from across the United States convened on September 10, 2020, for a symposium titled, "Crossing the Virtual Chasm: Rethinking Curriculum, Competency, and Culture in the Virtual Care Era." In this article, the authors share recommendations that came out of this symposium for the implementation of educational tools in the evolving virtual care environment. They present core competencies, assessment tools, precepting workflows, and technology to optimize the delivery of high-quality virtual care that is safe, timely, effective, efficient, equitable, and patient-centered.
Subject(s)
COVID-19 , Pandemics , Curriculum , Feedback , Humans , Learning , United StatesABSTRACT
Introduction: In March 2020, students' in-person clinical assessments paused due to COVID-19. The authors adapted the June Objective Standardized Clinical Examination (OSCE) to a telehealth OSCE to preserve live faculty observation of students' skills and immediate feedback dialogue between students, standardized patients, and faculty members. The authors assessed students' reactions and comparative performance. Materials and Methods: OSCE and telehealth educators used draft Association of American Medical Colleges (AAMC) telehealth competencies to create educational materials and adapt OSCE cases. Students anonymously answered queries about the challenges of the telehealth encounters, confidence in basic telehealth competencies, and educational value of the experience. Cohort-level performance data were compared between the January in-person and June telehealth OSCEs. Results: One hundred sixty students participated in 29 Zoom® two-case telehealth OSCEs, equaling 58 h of assessment time. Survey response rate: 59%. Students indicated moderate challenge in adapting physical examinations to the telehealth format and indicated it to be cognitively challenging. Confidence in telehealth competencies was rated "moderate" to "very," but was most pronounced for the technical aspects of telehealth, rather than safety engagement with a patient. Although authors found no significant difference in cohort-level performance in total scores and history-taking between the OSCEs, physical examination and communication scores differed between the two assessments. Discussion: It was feasible to adapt a standardized OSCE to a telehealth format when in-person clinical skills assessment was impossible. Students rated this necessary innovation positively, and it adequately assessed foundational clinical skills performance. Conclusion: Given future competency needs in telehealth, we suggest several education and training priorities.
Subject(s)
COVID-19 , Telemedicine , Clinical Competence , Educational Measurement , Feasibility Studies , Humans , Physical Examination , SARS-CoV-2ABSTRACT
PURPOSE: The aim of the study was to evaluate for an association between the number of voluntary mannequin simulation sessions completed during the school year with scores on a year-end diagnostic reasoning assessment among second-year medical students. METHOD: This is retrospective analysis of participation in 0 to 8 extracurricular mannequin simulation sessions on diagnostic reasoning assessed among 129 second-year medical students in an end-of-year evaluation. For the final skills assessment, 2 physicians measured students' ability to reason through a standardized case encounter using the Diagnostic Justification (DXJ) instrument (4 categories each scored 0-3 by raters reviewing students' postencounter written summaries). Rater scores were averaged for a total DXJ score (0-12). To provide additional baseline comparison, zero participation students were divided into 2 groups based on intent to participate: those who signed up for extracurricular sessions but never attended versus those who never expressed interest. Scores across the attendance groups were compared with an analysis of variance and trend analysis. RESULTS: The class DXJ mean equaled 7.56, with a standard deviation of 2.78 and range of 0 to 12. Post hoc analysis after a significant analysis of variance (F = 4.91, df = 8, 128, P < 0.001) showed those participating in 1 or more extracurricular sessions had significantly higher DXJ scores than those not participating. Students doing 7 extracurricular sessions had significantly higher DXJ scores than those doing 0 and 2 (P < 0.05). Zero attendance groups were not different. A significant linear trend (R = 0.48, F = 38.0, df = 1, 127, P < 0.001) was found with 9 groups. A significant quadratic effect, like a dose-response pattern, was found (F = 18.1, df = 2, 125, P < 0.001) in an analysis including both zero attendance groups, a low (1-4 extracurricular sessions) group and a high (5-8) group. CONCLUSIONS: Higher year-end diagnostic reasoning scores were associated with increased voluntary participation in extracurricular mannequin-based simulation exercises in an approximate dose-response pattern.