Bmc Med Inform Decis
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Bmc Med Inform Decis · Jan 2013
Decision support for hospital bed management using adaptable individual length of stay estimations and shared resources.
Elective patient admission and assignment planning is an important task of the strategic and operational management of a hospital and early on became a central topic of clinical operations research. The management of hospital beds is an important subtask. Various approaches have been proposed, involving the computation of efficient assignments with regard to the patients' condition, the necessity of the treatment, and the patients' preferences. However, these approaches are mostly based on static, unadaptable estimates of the length of stay and, thus, do not take into account the uncertainty of the patient's recovery. Furthermore, the effect of aggregated bed capacities have not been investigated in this context. Computer supported bed management, combining an adaptable length of stay estimation with the treatment of shared resources (aggregated bed capacities) has not yet been sufficiently investigated. The aim of our work is: 1) to define a cost function for patient admission taking into account adaptable length of stay estimations and aggregated resources, 2) to define a mathematical program formally modeling the assignment problem and an architecture for decision support, 3) to investigate four algorithmic methodologies addressing the assignment problem and one base-line approach, and 4) to evaluate these methodologies w.r.t. cost outcome, performance, and dismissal ratio. ⋯ In terms of its performance and the quality of its solution, the heuristic strategy RAND is the preferred method for bed assignment in the case of shared resources. Future research is needed to investigate whether an equally marked improvement can be achieved in a large scale clinical application study, ideally one comprising all the departments involved in admission and assignment planning.
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Bmc Med Inform Decis · Jan 2013
Randomized Controlled TrialA tailored, dialogue-based health communication application for patients with chronic low back pain: study protocol of a randomised controlled trial.
Chronic low back pain is a common chronic condition whose treatment success can be improved by active involvement of patients. Patient involvement can be fostered by web-based applications combining health information with decision support or behaviour change support. These so-called Interactive Health Communication Applications (IHCAs) can reach great numbers of patients at low financial cost and provide information and support at the time, place and learning speed patients prefer. However, high attrition often seems to decrease the effects of web-based interventions. Tailoring content and tone of IHCAs to the individual patient ́s needs might improve usage and therefore effectiveness. This study aims to evaluate a tailored IHCA for people with chronic low back pain combining health information with decision support and behaviour change support. ⋯ IHCAs can be a suitable way to promote knowledge about chronic low back pain and self-management competencies. Results of the study can increase the knowledge on how to develop IHCAs which are more useful and effective for people suffering from chronic low back pain.
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Bmc Med Inform Decis · Jan 2013
Implementing computerised Aboriginal and Torres Strait Islander health checks in primary care for clinical care and research: a process evaluation.
Paper-based Aboriginal and Torres Strait Islander health checks have promoted a preventive approach to primary care and provided data to support research at the Inala Indigenous Health Service, south-west Brisbane, Australia. Concerns about the limitations of paper-based health checks prompted us to change to a computerised system to realise potential benefits for clinical services and research capability. We describe the rationale, implementation and anticipated benefits of computerised Aboriginal and Torres Strait Islander health checks in one primary health care setting. ⋯ The Inala Indigenous Health Service has demonstrated that moving from paper-based Aboriginal and Torres Strait Islander health checks to a system using computerised health checks is feasible and can facilitate research. We expect computerised health checks will improve clinical care and continue to enable research projects using validated data, reflecting the local Aboriginal and Torres Strait Islander community's priorities.
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Bmc Med Inform Decis · Jan 2013
Comparative StudyMeasuring preferences for analgesic treatment for cancer pain: how do African-Americans and Whites perform on choice-based conjoint (CBC) analysis experiments?
Conjoint Analysis (CA) can serve as an important tool to study health disparities and unique factors underlying decision-making in diverse subgroups. However, methodological advancements are needed in exploiting this application of CA. We compared the internal and external predictive validity and inter-temporal stability of Choice-based-Conjoint (CBC) analysis between African-Americans and Whites in the clinical context of preferences for analgesic treatment for cancer pain. ⋯ While we found slight group differences, overall the internal and external predictive validity of CBC was comparable between African-Americans and Whites. We discuss some areas to investigate and improve internal and external predictive validity of CBC experiments.
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Bmc Med Inform Decis · Jan 2013
National survey focusing on the crucial information needs of intensive care charge nurses and intensivists: same goal, different demands.
Although information technology adequately supports clinical care in many intensive care units (ICUs), it provides much poorer support for the managerial information needed to coordinate multi-professional care. To gain a general view of the most crucial multi-professional information needs of ICU shift leaders a national survey was conducted, focusing on the information needs of charge nurses and intensivists. ⋯ The reliability and validity of our survey was found to be good. Our study findings show that care coordination at an ICU is a collaborative process among ICU shift leaders with multiprofessional information needs related to organisation and management, patient admission, and allocation of staff resources. Study findings can be used to identify the most crucial information needs of ICU shift leaders when new information technology is developed to support managerial decision-making during care coordination.