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1.
SAGE Open Nurs ; 9: 23779608231172655, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37124377

RESUMO

Introduction: Sedentary work is associated with poor health outcomes. Many healthcare occupations, including office-based care coordination, are largely sedentary. Many nurses do not achieve the recommended levels of daily physical activity, however, the physical activity levels among nurses working in care coordination are not known. Objective: To assess the physical activity levels, self-reported health and well-being, overall quality of life, and work-related satisfaction of office-based care coordinators, and compare these among nursing and non-nursing staff. Methods: This study collected objective physical activity data using accelerometry along with self-reported information on work-related quality of life and satisfaction from 42 healthcare staff working in a hospital-affiliated office-based care coordination program. Results were compared among nursing and non-nursing staff. Results: Nurses had lower moderate-to-vigorous physical activity levels compared to non-nursing staff (25 min/day vs. 45, p = .007). There were no differences in daily sedentary time, light activity, or steps between nursing and non-nursing staff. Nurses reported high quality of life scores compared to non-nursing staff (4.4 vs. 4.1, p = .02), but similar levels of work-related quality of life, happiness, self-rated health, and well-being. Conclusion: Nurses working in an office-based care coordination program had lower levels of physical activity but reported a higher overall quality of life than non-nurse work colleagues working in a similar environment. Given known health risks associated with sedentary occupational work and the growing number of care coordination programs, health policies and initiatives aimed at increasing the physical activity levels of care coordination workers is of prime importance.

2.
J Am Coll Radiol ; 13(6): 606-10, 2016 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-26908201

RESUMO

PURPOSE: Leakage (out-of-network referral) is undesirable because it limits ability to control costs of services. Clinical decision support (CDS) systems seek to ensure appropriate imaging of patients but theoretically could drive leakage if ordering providers attempt to circumvent CDS recommendations and obtain studies from other imaging providers. This study assessed the incidence of leakage of imaging studies that had low appropriateness scores. METHODS: We queried our outpatient CDS system over a three-year period (2011-2013) for studies that received a low CDS appropriateness score and were canceled by the ordering physician. For patients meeting these criteria and participating in risk-shared contracts, we cross-referenced their imaging utilization reports in the risk-contract insurance payment database to determine if they received outpatient imaging within 60 days of the index order, contrary to the decision support recommendation. RESULTS: The risk-shared insurance database contained an average of 63,378 patients who had 18,008 MRIs and 18,014 CTs. A total of 11,234 (31.2%) studies were leaked: 3,513 (9.8%) to affiliated institutions; 7,721 (21.4%) to unaffiliated imaging facilities. Overall, 111 imaging studies received a low appropriateness score in the risk-shared patient population and were performed within 60 days despite the low score. Of these studies, 106 of 111 (95.5%) were ultimately performed within our hospital system (104 at the home institution; 2 at affiliated institutions); only 5 of 111 (4.5%) were performed outside of our hospital system. CONCLUSIONS: Decision support systems for ordering providers do not seem to drive imaging referrals out of hospital systems to other institutions. Hospital systems can implement decision support without fear of this occurring.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Diagnóstico por Imagem/estatística & dados numéricos , Padrões de Prática Médica/estatística & dados numéricos , Encaminhamento e Consulta , Humanos , Sistemas de Registro de Ordens Médicas , Uso Excessivo dos Serviços de Saúde/estatística & dados numéricos , Pacientes Ambulatoriais , Revisão da Utilização de Recursos de Saúde
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