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BACKGROUND: Digital health and telemedicine are potentially important strategies to decrease health care's environmental impact and contribution to climate change by reducing transportation-related air pollution and greenhouse gas emissions. However, we currently lack robust national estimates of emissions savings attributable to telemedicine. OBJECTIVE: This study aimed to (1) determine the travel distance between participants in US telemedicine sessions and (2) estimate the net reduction in carbon dioxide (CO2) emissions attributable to telemedicine in the United States, based on national observational data describing the geographical characteristics of telemedicine session participants. METHODS: We conducted a retrospective observational study of telemedicine sessions in the United States between January 1, 2022, and February 21, 2023, on the doxy.me platform. Using Google Distance Matrix, we determined the median travel distance between participating providers and patients for a proportional sample of sessions. Further, based on the best available public data, we estimated the total annual emissions costs and savings attributable to telemedicine in the United States. RESULTS: The median round trip travel distance between patients and providers was 49 (IQR 21-145) miles. The median CO2 emissions savings per telemedicine session was 20 (IQR 8-59) kg CO2). Accounting for the energy costs of telemedicine and US transportation patterns, among other factors, we estimate that the use of telemedicine in the United States during the years 2021-2022 resulted in approximate annual CO2 emissions savings of 1,443,800 metric tons. CONCLUSIONS: These estimates of travel distance and telemedicine-associated CO2 emissions costs and savings, based on national data, indicate that telemedicine may be an important strategy in reducing the health care sector's carbon footprint.
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Telemedicina , Viaje , Estados Unidos , Humanos , Telemedicina/estadística & datos numéricos , Telemedicina/métodos , Telemedicina/economía , Viaje/estadística & datos numéricos , Estudios Retrospectivos , Dióxido de Carbono/análisis , Contaminación del Aire , Huella de Carbono/estadística & datos numéricosRESUMEN
BACKGROUND: Workplace violence, including violent, intimidating, and disruptive acts, commonly occurs in healthcare settings. Type 2 workplace violence in nursing refers to patient/visitor behaviors directed toward clinicians, contributing to physical and psychological harm. Nurse victims often do not report these events to employers or law enforcement, making it challenging to address workplace violence. OBJECTIVES: Our research examined nurse reactions to Type 2 workplace violence by identifying what behaviors they perceived as aggressive and reportable. Specific aims included: 1) developing and testing video vignettes to portray realistic patient aggression scenarios; 2) identifying nurse understandings of aggressive events that prompt affective reactions, and; 3) examining clinical characteristics related to the nurse victim's likelihood to report. DESIGN: Through a sequential mixed-methods design, we qualitatively developed novel video vignettes portraying Type 2 workplace violence to experimentally examine how nurses interpreted them within a quantitative repeated measures survey. METHODS: Two expert nurse research panels (nâ¯=â¯10) created five vignettes, from which nurses (nâ¯=â¯282) completed a survey with 1382 unique responses. Analyses included descriptive statistics and repeated measures ANOVA/regression models. RESULTS: Video vignettes realistically portrayed workplace violence events, eliciting negative emotional responses among nurses that increased in magnitude with statistical significance as the level of displayed aggression escalated. Statistically significant factors influencing nurse reporting of workplace violence included; 1) the level of aggression displayed by the patient; 2) the level of harm received by the nurse; 3) whether the nurse felt the patient's actions were intentional, and; 4) the nurse's perceived frequency of exposure to workplace violence. CONCLUSIONS: Results suggested that nurse victims of Type 2 workplace violence experience depression, anger, fear, and anxiety, which may contribute to long-term mental health consequences. Findings also identified factors related to nurse reporting behaviors, which may help mitigate workplace violence in healthcare settings by informing research and promoting workplace practices that encourage reporting and safety. REGISTRATION: Not registered. TWEETABLE ABSTRACT: Nurse reactions to workplace violence: Video vignettes reveal escalating aggression's impact on reporting. #EndNurseAbuse #WorkplaceViolence.
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Violencia Laboral , Humanos , Violencia Laboral/psicología , Emociones , Adulto , Femenino , Masculino , Persona de Mediana Edad , Relaciones Enfermero-Paciente , Agresión/psicología , Personal de Enfermería en Hospital/psicologíaRESUMEN
Background: During the COVID-19 pandemic, federal and state health policies allowed temporary flexibilities for Medicare and Medicaid beneficiaries, leading to a sharp increase in telemedicine use. However, many of the flexibilities that enabled innovation and growth in telemedicine continue temporarily since the federal emergency declaration ended in May 2023, and the United States has not made permanent decisions about telemedicine policy. Analysts have raised concerns about increased spending, program integrity, safety, and equity, and recommend strengthening oversight. Methods: Here, we argue that we must continue the flexibilities to better understand telemedicine's quality, safety, and outcomes, and until the United States can develop an evidence-based digital health strategy. A premature regression to pre-pandemic telemedicine policies risks unintended consequences. Conclusion: We must continue the current policy flexibilities, safeguard against fraud and abuse, and immediately prioritize research and evaluation of telemedicine's quality, safety, and outcomes, to avoid unintended consequences and support more permanent policy decision-making.
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Objectives: Missed appointments can lead to treatment delays and adverse outcomes. Telemedicine may improve appointment completion because it addresses barriers to in-person visits, such as childcare and transportation. This study compared appointment completion for appointments using telemedicine versus in-person care in a large cohort of patients at an urban academic health sciences center. Materials and Methods: We conducted a retrospective cohort study of electronic health record data to determine whether telemedicine appointments have higher odds of completion compared to in-person care appointments, January 1, 2021, and April 30, 2023. The data were obtained from the University of South Florida (USF), a large academic health sciences center serving Tampa, FL, and surrounding communities. We implemented 1:1 propensity score matching based on age, gender, race, visit type, and Charlson Comorbidity Index (CCI). Results: The matched cohort included 87 376 appointments, with diverse patient demographics. The percentage of completed telemedicine appointments exceeded that of completed in-person care appointments by 9.2 points (73.4% vs 64.2%, P < .001). The adjusted odds ratio for telemedicine versus in-person care in relation to appointment completion was 1.64 (95% CI, 1.59-1.69, P < .001), indicating that telemedicine appointments are associated with 64% higher odds of completion than in-person care appointments when controlling for other factors. Discussion: This cohort study indicated that telemedicine appointments are more likely to be completed than in-person care appointments, regardless of demographics, comorbidity, payment type, or distance. Conclusion: Telemedicine appointments are more likely to be completed than in-person healthcare appointments.
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Telemedicine enables critical human communication and interaction between researchers and participants in decentralized research studies. There is a need to better understand the overall scope of telemedicine applications in clinical research as the basis for further research. This narrative, nonsystematic review of the literature sought to review and discuss applications of telemedicine, in the form of synchronous videoconferencing, in clinical research. We searched PubMed to identify relevant literature published between January 1, 2013, and June 30, 2023. Two independent screeners assessed titles and abstracts for inclusion, followed by single-reviewer full-text screening, and we organized the literature into core themes through consensus discussion. We screened 1044 publications for inclusion. Forty-eight publications met our inclusion and exclusion criteria. We identified six core themes to serve as the structure for the narrative review: infrastructure and training, recruitment, informed consent, assessment, monitoring, and engagement. Telemedicine applications span all stages of clinical research from initial planning and recruitment to informed consent and data collection. While the evidence base for using telemedicine in clinical research is not well-developed, existing evidence suggests that telemedicine is a potentially powerful tool in clinical research.
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OBJECTIVES: Vaccination reduces the risk of acute coronavirus disease 2019 (COVID-19) in children, but it is less clear whether it protects against long COVID. We estimated vaccine effectiveness (VE) against long COVID in children aged 5 to 17 years. METHODS: This retrospective cohort study used data from 17 health systems in the RECOVER PCORnet electronic health record program for visits after vaccine availability. We examined both probable (symptom-based) and diagnosed long COVID after vaccination. RESULTS: The vaccination rate was 67% in the cohort of 1 037 936 children. The incidence of probable long COVID was 4.5% among patients with COVID-19, whereas diagnosed long COVID was 0.8%. Adjusted vaccine effectiveness within 12 months was 35.4% (95 CI 24.5-44.7) against probable long COVID and 41.7% (15.0-60.0) against diagnosed long COVID. VE was higher for adolescents (50.3% [36.6-61.0]) than children aged 5 to 11 (23.8% [4.9-39.0]). VE was higher at 6 months (61.4% [51.0-69.6]) but decreased to 10.6% (-26.8% to 37.0%) at 18-months. CONCLUSIONS: This large retrospective study shows moderate protective effect of severe acute respiratory coronavirus 2 vaccination against long COVID. The effect is stronger in adolescents, who have higher risk of long COVID, and wanes over time. Understanding VE mechanism against long COVID requires more study, including electronic health record sources and prospective data.
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COVID-19 , Síndrome Post Agudo de COVID-19 , Adolescente , Niño , Humanos , COVID-19/epidemiología , COVID-19/prevención & control , Estudios Retrospectivos , Estudios Prospectivos , Eficacia de las VacunasRESUMEN
Introduction: During the COVID-19 pandemic, research organizations accelerated adoption of technologies that enable remote participation. Now, there's a pressing need to evaluate current decentralization practices and develop appropriate research, education, and operations infrastructure. The purpose of this study was to examine current adoption of decentralization technologies in a sample of clinical research studies conducted by academic research organizations (AROs). Methods: The setting was three data coordinating centers in the U.S. These centers initiated coordination of 44 clinical research studies during or after 2020, with national recruitment and enrollment, and entailing coordination between one and one hundred sites. We determined the decentralization technologies used in these studies. Results: We obtained data for 44/44 (100%) trials coordinated by the three centers. Three technologies have been adopted across nearly all studies (98-100%): eIRB, eSource, and Clinical Trial Management Systems. Commonly used technologies included e-Signature (32/44, 73%), Online Payments Portals (26/44, 59%), ePROs (23/44, 53%), Interactive Response Technology (22/44, 50%), Telemedicine (19/44, 43%), and eConsent (18/44, 41%). Wearables (7/44,16%) and Online Recruitment Portals (5/44,11%) were less common. Rarely utilized technologies included Direct-to-Patient Portals (1/44, 2%) and Home Health Nurse Portals (1/44, 2%). Conclusions: All studies incorporated some type of decentralization technology, with more extensive adoption than found in previous research. However, adoption may be strongly influenced by institution-specific IT and informatics infrastructure and support. There are inherent needs, responsibilities, and challenges when incorporating decentralization technology into a research study, and AROs must ensure that infrastructure and informatics staff are adequate.