Hospital Utilization Outcomes Following Assignment to Outpatient Commitment

Application of the Flusurge 2.0 methodology to predict the needs of conventional hospital treatment, intensive care, and respiratory support resources as a consequence of coronavirus disease (COVID-19) in several countries. Different countries of the following continents have been selected: Europe, Asia, Africa, North America, South America, and Oceania. Variables: Total population and age distribution; Number of COVID19 infections; Number of deaths from COVID19; Number of non-ICU hospital beds; Number of ICU beds; Number of ventilators. Method: The proposed possible scenario planning is based on the application of FluSurge 2.0 Software, developed by The Johns Hopkins Center for Health Security (CHS/CDC). Saturation of conventional hospitalization is expected in India, Uganda, Nepal, and Haiti; there is a forecast of saturation for ICU beds in all sample countries except Turkey. Ventilator saturation is expected in all countries of the sample except Argentina, Austria, Brazil, France, United Kingdom, Japan, South Korea, Norway, Poland, Turkey and the USA. The model shows, for a percentage greater than 50% of the countries, difficulties related to the saturation of their ICU units, and the use of ventilators.

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Protecting Health and Safety with Needed-Treatment: the Effectiveness of Outpatient Commitment

Psychiatric Quarterly ◽

10.1007/s11126-020-09876-6 ◽

2021 ◽

Author(s):

Steven P. Segal

Keyword(s):

Health And Safety ◽

Outpatient Commitment

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Impact of electronic diabetes registry ‘Meaningful Use’ on quality of care and hospital utilization

Journal of the American Medical Informatics Association ◽

10.1093/jamia/ocv040 ◽

2015 ◽

Vol 23 (2) ◽

pp. 242-247 ◽

Cited By ~ 15

Author(s):

Wencui Han ◽

Raj Sharman ◽

Arvela Heider ◽

Nancy Maloney ◽

Min Yang ◽

...

Keyword(s):

Type 2 Diabetes ◽

Quality Of Care ◽

Hierarchical Linear Modeling ◽

Meaningful Use ◽

Hospital Utilization ◽

Utilization Rate ◽

Diabetic Patients ◽

Diabetes Registry

Abstract Objective To investigate whether the use of diabetes registries meeting Meaningful Use core objectives in primary care practices is associated with differences in quality of care and hospital utilization rates. Materials and methods A practice assessment survey was conducted to identify whether and how practices were using diabetes registries. Insurance claims data from 2010 were used to compare the health outcomes of patients from practices that used diabetes registries meeting Meaningful Use–related objectives to the outcomes of patients from other practices. Logistic hierarchical linear modeling was used to analyze the data. Results Records from 12,514 diabetic patients (including 10 809 with type 2 diabetes) from 50 urban practices were included in the analysis. The results suggest that patients with type 2 diabetes who were treated in practices using registries for patient reminders were more likely to have completed the recommended laboratory testing (odds ratio [OR] 1.26, p < 0.01) and dilated retinal examinations (OR 1.14, p < 0.01). Patients in practices using registries for quality improvement were less likely to have ‘avoidable hospitalization’ (OR 0.83, p < 0.01) and emergency room visits (OR 0.76, p < 0.01). The use of a diabetes registry did not have a significant impact on the quality of care or hospital utilization for patients with type 1 diabetes. Conclusion Use of diabetes registries meeting Meaningful Use core objectives is associated with higher completion or recommended lab tests and a lower hospital utilization rate for patients with type 2 diabetes.

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