The importance of involving patients and the public in health care research is globally recognized, but how best to do this in critical care is unclear. The aim of this first published review was to explore the extent and nature of evidence on service user involvement in critical care research and quality improvement. Using the scoping review framework described by Arksey and O'Malley ( 2005 ), a team of service user and critical care researchers searched eleven online databases, reviewed relevant web sites, conducted forward and backward citation searching and contacted subject experts. Extracted data were subjected to a narrative synthesis based on the objectives of the review. Findings from a broad range of evidence support that involvement is becoming more commonplace and that experiences are generally positive. Data extracted from 34 publications identify that involvement is most commonly reported at the level of consultation or participation in project teams, however, the extent to which involvement impacts on projects output remains unclear. Key barriers and facilitators relate to the challenge of recruiting a diverse group of service users, dealing with power hierarchies, being adaptable and effective consideration of the resource requirements. More research is required to identify the most effective methods to support the opportunity for involvement and more thorough reporting of service user involvement practices is strongly recommended. 相似文献
Background: There is a critical need to focus limited resources on sub-groups of patients with obesity where we expect the largest return on investment. This paper identifies patient sub-groups where an investment may result in larger positive economic and health outcomes.Methods: The baseline population with obesity was derived from a public survey database and divided into sub-populations defined by demographics and disease status. In 2016, a validated model was used to simulate the incidence of diabetes, absenteeism, and direct medical cost in five care settings. Research findings were derived from the difference in population outcomes with and without weight loss over 15 years. Modeled weight loss scenarios included initial 5% or 12% reduction in body mass index followed by a gradual weight regain. Additional simulations were conducted to show alternative outcomes from different time courses and maintenance scenarios.Results: Univariate analyses showed that age 45–64, pre-diabetes, female, or obesity class III are independently predictive of larger savings. After considering the correlation between these factors, multivariate analyses projected young females with obesity class I as the optimal sub-group to control obesity-related medical expenditures. In contrast, the population aged 20–35 with obesity class III will yield the best health outcomes. Also, the sub-group aged 45–54 with obesity class I will produce the biggest productivity improvement. Each additional year of weight loss maintained showed increased financial benefits.Conclusions: This paper studied the heterogeneity between many sub-populations affected by obesity and recommended different priorities for decision-makers in economic, productivity, and health realms. 相似文献
Aims: Inflammatory bowel disease (IBD) (e.g. ulcerative colitis [UC] and Crohn’s disease [CD]) severely impacts patient quality-of-life. Moderate-to-severe disease is often treated with biologics requiring infusion therapy, adding incremental costs beyond drug costs. This study evaluates US hospital-based infusion services costs for treatment of UC or CD patients receiving infliximab or vedolizumab therapy.
Materials and methods: A model was developed, estimating annual costs of providing monitored infusions using an activity-based costing framework approach. Multiple sources (published literature, treatment product inserts) informed base-case model input estimates.
Results: The total modeled per patient infusion therapy costs in Year 1 with infliximab and vedolizumab was $38,782 and $41,320, respectively, and Year 2+, $49,897 and $36,197, respectively. Drug acquisition cost was the largest total costs driver (90–93%), followed by costs associated with hospital-based infusion provision: labor (53–56%, non-drug costs), allocated overhead (23%, non-drug costs), non-labor (23%, non-drug costs), and laboratory (7–10%, non-drug costs).
Limitations: Limitations included reliance on published estimates, base-case cost estimates infusion drug, and supplies, not accounting for volume pricing, assumption of a small hospital infusion center, and that, given the model adopts the hospital perspective, costs to the patient were not included in infusion administration cost base-case estimates.
Conclusions: This model is an early step towards a framework to fully analyze infusion therapies’ associated costs. Given the lack of published data, it would be beneficial for hospital administrators to assess total costs and trade-offs with alternative means of providing biologic therapies. This analysis highlights the value to hospital administrators of assessing cost associated with infusion patient mix to make more informed resource allocation decisions. As the landscape for reimbursement changes, tools for evaluating the costs of infusion therapy may help hospital administrators make informed choices and weigh trade-offs associated with providing infusion services for IBD patients. 相似文献