Bmc Health Serv Res
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Bmc Health Serv Res · Feb 2017
Qualitative exploration of why people repeatedly attend emergency departments for alcohol-related reasons.
Understanding why people repeatedly attend Emergency Departments (EDs) for alcohol-related reasons is an important prerequisite to identifying ways of reducing any unnecessary demands on hospital resources. We use Andersen's Behavioural Model of Health Services Use to explore factors that contributed to repeat ED attendances. ⋯ Push' and 'pull' factors contributed to repeated ED use. 'Push' factors included individual-level problems and wider community service failings. 'Pull' factors included positive experiences of, and beliefs about, ED care. Community services need to better engage and support people with complex drinking problems, whilst ED staff can be more effective in referring patients to community-based services.
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Bmc Health Serv Res · Feb 2017
Multicenter Study Observational StudyLearning from 2523 trauma deaths in India- opportunities to prevent in-hospital deaths.
A systematic analysis of trauma deaths is a step towards trauma quality improvement in Indian hospitals. This study estimates the magnitude of preventable trauma deaths in five Indian hospitals, and uses a peer-review process to identify opportunities for improvement (OFI) in trauma care delivery. ⋯ Fifty-eight percent of all trauma deaths were classified as preventable. Two-thirds of the deaths with injury severity scores of less than 16 were preventable. This large subgroup of Indian urban trauma patients could possibly be saved by urgent attention and corrective action. Low-cost interventions such as airway management, fluid resuscitation, hemorrhage control and surgical decision-making protocols, were identified as OFI. Establishment of clinical protocols and timely processes of trauma care delivery are the next steps towards improving care.
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Bmc Health Serv Res · Feb 2017
Accuracy and generalizability of using automated methods for identifying adverse events from electronic health record data: a validation study protocol.
Adverse events (AEs) in acute care hospitals are frequent and associated with significant morbidity, mortality, and costs. Measuring AEs is necessary for quality improvement and benchmarking purposes, but current detection methods lack in accuracy, efficiency, and generalizability. The growing availability of electronic health records (EHR) and the development of natural language processing techniques for encoding narrative data offer an opportunity to develop potentially better methods. The purpose of this study is to determine the accuracy and generalizability of using automated methods for detecting three high-incidence and high-impact AEs from EHR data: a) hospital-acquired pneumonia, b) ventilator-associated event and, c) central line-associated bloodstream infection. ⋯ This study will likely produce more accurate and efficient measures of AEs. These measures could be used to assess the incidence rates of AEs, evaluate the success of preventive interventions, or benchmark performance across hospitals.
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Bmc Health Serv Res · Feb 2017
Primary care focus and utilization in the Medicare shared savings program accountable care organizations.
Although Accountable Care Organizations (ACOs) are defined by the provision of primary care services, the relationship between the intensity of primary care and population-level utilization and costs of health care services has not been examined during early implementation of Medicare Shared Savings Program (MSSP) ACOs. Our objective was to evaluate the association between primary care focus and healthcare utilization and spending in the first performance period of the Medicare Shared Savings Program (MSSP) Accountable Care Organizations (ACOs). ⋯ Primary care focus was not associated with increased savings or lower utilization of healthcare during the initial implementation of MSSP ACOs.
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Bmc Health Serv Res · Feb 2017
What is a hospital bed day worth? A contingent valuation study of hospital Chief Executive Officers.
Decreasing hospital length of stay, and so freeing up hospital beds, represents an important cost saving which is often used in economic evaluations. The savings need to be accurately quantified in order to make optimal health care resource allocation decisions. Traditionally the accounting cost of a bed is used. We argue instead that the economic cost of a bed day is the better value for making resource decisions, and we describe our valuation method and estimations for costing this important resource. ⋯ This study highlights the importance for valuing bed days as an economic resource to inform cost effectiveness models and thus improve hospital decision making and resource allocation. Significantly under or over valuing the resource is very likely to result in sub-optimal decision making. We discuss the importance of recognising the opportunity costs of this resource and highlight areas for future research.