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1.
J Multidiscip Healthc ; 16: 905-911, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37038455

RESUMO

Purpose: Delivering evidence-based tobacco dependence treatments to hospital patients in real-world settings continues to be a challenge. To achieve long-term abstinence, a program should provide both bedside counseling and post-discharge contacts. These program features are necessary but difficult to implement due to lack of training, time and low administrative support. The Rochester Model is a tobacco treatment program using existing staff and medical students to reduce the barriers for treating hospitalized smokers. Patients and Methods: Any smoking patient admitted to a participating hospital unit can participate. Staff nurses, mid-level providers and physicians deliver the counseling steps during the admission. Nurses hold two bedside counseling sessions, while providers give quitting advice and encourage pharmacotherapy. Nurses also contribute as unit champions and post-discharge call counselors. New York State quit line counselors combined with a University of Rochester call team fulfill the post-discharge calls. The latter call team is composed of staff nurses, respiratory therapists and medical students. Results: The number of smoking patients screened was 2610 while 385 enrolled after a proof-of-concept period. The 7-day point prevalence quit rates using the as treated (patients contacted) analysis is 50% at 4 weeks, 42% at 3 months and 38% at 6 months. The 7-day point prevalence quit rates using the intent-to-treat (all patients) analysis is 23% at 4 weeks, 16% at 3 months and 14% at 6 months. Conclusion: Preliminary data on the Rochester Model is showing an effective yet affordable tobacco treatment program using hospital staff and medical students. Nurses serve as bedside counselors, unit champions and post-discharge call counselors. Hospitals, even with limited resources, can implement tobacco treatment programs using existing staff.

2.
J Psychosom Res ; 134: 110112, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-32353568

RESUMO

OBJECTIVE: Psychiatric comorbidity among hospital medicine patients is common and often complicates care delivery and compromises outcomes. Team-based, proactive consultation-liaison (CL) psychiatry has been shown to reduce hospital length of stay (LOS) and care costs, but staff satisfaction with this model has not been explored in detail. Here we evaluate its impact on hospital medicine provider and nurse satisfaction. METHODS: We implemented a team-based proactive CL service that reviews all admitted hospital medicine patients across 3 units for psychiatric comorbidity and provides unit-wide integrated mental health care. Hospital medicine staff completed surveys before and after a 6-month pilot phase: 10-item provider surveys covered resource adequacy, safety, time for healthcare improvements, and burnout; 26-item nurse surveys included the same 10 items plus 8 on behavioral health assessment competency and 8 on intervention competency. Additionally, we characterized psychiatric comorbidity, calculated consultation latency and volume and also average LOS during these 6 months. RESULTS: The provider response rate was 57% (20/35 before; 21/37 after) and roughly a third for nurses (32/~90 and 31/~90, respectively). Providers rated 9 of 10 items as improved, including one on burnout. Nursing satisfaction improved similarly but with lower effect sizes. During the pilot (n = 1590), 71% had chart-identified psychiatric comorbidity. Consultation latency decreased by 0.86 days; consultation rate increased nearly 3-fold; and average LOS decreased by 0.33 days. CONCLUSIONS: Team-based proactive CL psychiatry enhances provider and nurse satisfaction and may even reduce provider burnout. We also confirmed that this model is associated with reduced average LOS.


Assuntos
Medicina Hospitalar/estatística & dados numéricos , Saúde Mental , Enfermeiras e Enfermeiros/psicologia , Equipe de Assistência ao Paciente/estatística & dados numéricos , Satisfação Pessoal , Esgotamento Profissional/prevenção & controle , Comorbidade , Feminino , Humanos , Pacientes Internados , Tempo de Internação/estatística & dados numéricos , Masculino , Admissão do Paciente , Encaminhamento e Consulta , Inquéritos e Questionários
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