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1.
Laryngoscope ; 134(1): 178-184, 2024 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-37314126

RESUMO

OBJECTIVE: To determine variables associated with longer wait times and decreased patient satisfaction. To determine the association of trainees with clinic wait times and patient satisfaction scores in an academic center. STUDY DESIGN: Cross-sectional study. METHODS: We recruited 266 study participants from an interdisciplinary Head and Neck Cancer outpatient clinic setting. Trained observers recorded observations related to wait times, time with individual health care practitioners, and total time spent in clinic. An 11-question survey was given to patients at the end of their visit assessing each patient's satisfaction with their visit, subjective wait time, and their likelihood to recommend the health care provider. RESULTS: Increased objective wait times were associated with new patients (p = 0.006) and based on the physician they saw (p < 0.001). Patients who saw a trainee spent less time waiting to see a physician (p = 0.023), more total time with a physician (p = 0.001), and reported higher wait time satisfaction scores (p = 0.001). There was no difference in total visit time if patients saw a trainee (p = 0.42). Patient satisfaction with wait time was correlated with all other aspects of patient satisfaction (p < 0.001). On multivariable analysis, the subjective wait time was associated with the likelihood to recommend (p < 0.001). CONCLUSION: Prolonged objective wait times in a multidisciplinary oncology outpatient setting were associated with several factors including specific physicians and new patient status. Trainee interaction with patients led to shorter wait times and improved patient satisfaction scores with wait times. Satisfaction with wait time was positively correlated with all aspects of patient satisfaction and 'likelihood to recommend' scores. LEVEL OF EVIDENCE: NA Laryngoscope, 134:178-184, 2024.


Assuntos
Satisfação do Paciente , Listas de Espera , Humanos , Estudos Transversais , Instituições de Assistência Ambulatorial , Inquéritos e Questionários
2.
Telemed J E Health ; 27(6): 625-634, 2021 06.
Artigo em Inglês | MEDLINE | ID: mdl-33030985

RESUMO

Background: The authors draw upon their experience with a successful, enterprise-level, telemedicine program implementation to present a "How To" paradigm for other academic health centers that wish to rapidly deploy such a program in the setting of the COVID-19 pandemic. The advent of social distancing as essential for decreasing viral transmission has made it challenging to provide medical care. Telemedicine has the potential to medically undistance health care providers while maintaining the quality of care delivered and fulfilling the goal of social distancing. Methods: Rather than simply reporting enterprise telemedicine successes, the authors detail key telemedicine elements essential for rapid deployment of both an ambulatory and inpatient telemedicine solution. Such a deployment requires a multifaceted strategy: (1) determining the appropriateness of telemedicine use, (2) understanding the interface with the electronic health record, (3) knowing the equipment and resources needed, (4) developing a rapid rollout plan, (5) establishing a command center for post go-live support, (6) creating and disseminating reference materials and educational guides, (7) training clinicians, patients, and clinic schedulers, (8) considering billing and credentialing implications, (9) building a robust communications strategy, and (10) measuring key outcomes. Results: Initial results are reported, showing a telemedicine rate increase to 45.8% (58.6% video and telephone) in just the first week of rollout. Over a 5-month period, the enterprise has since conducted over 119,500 ambulatory telemedicine evaluations (a 1,000-fold rate increase from the pre-COVID-19 time period). Conclusion: This article is designed to offer a "How To" potential best practice approach for others wishing to quickly implement a telemedicine program during the COVID-19 pandemic.


Assuntos
COVID-19 , Telemedicina , Humanos , Pacientes Internados , Pandemias , SARS-CoV-2
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