Abstract:Understanding how quality improvement affects costs is important. Unfortunately, low-cost, reliable ways of measuring direct costs are scarce. This article builds on the principles of process improvement to develop a costing strategy that meets both criteria. Process-based costing has 4 steps: developing a flowchart, estimating resource use, valuing resources, and calculating direct costs. To illustrate the technique, this article uses it to cost the care planning process in 3 long-term care facilities. We con… Show more
“…Efficiency reflects the achievement of the highest quality of care planning at the lowest cost, and cost depends on the amount of time allocated to care planning [17]. None of the standard nursing home databases collect information about costs, so we surveyed 107 of 444 nursing homes in two US Midwestern states, collecting detailed information about the amount of time spent on the care planning process.…”
Data envelopment analysis (DEA) is a deterministic econometric model for calculating efficiency by using data from an observed set of decision-making units (DMUs). We propose a method for calculating the distribution of efficiency scores. Our framework relies on estimating data from an unobserved set of DMUs. The model provides posterior predictive data for the unobserved DMUs to augment the frontier in the DEA that provides a posterior predictive distribution for the efficiency scores. We explore the method on a multiple-input and multiple-output DEA model. The data for the example are from a comprehensive examination of how nursing homes complete a standardized mandatory assessment of residents.
“…Efficiency reflects the achievement of the highest quality of care planning at the lowest cost, and cost depends on the amount of time allocated to care planning [17]. None of the standard nursing home databases collect information about costs, so we surveyed 107 of 444 nursing homes in two US Midwestern states, collecting detailed information about the amount of time spent on the care planning process.…”
Data envelopment analysis (DEA) is a deterministic econometric model for calculating efficiency by using data from an observed set of decision-making units (DMUs). We propose a method for calculating the distribution of efficiency scores. Our framework relies on estimating data from an unobserved set of DMUs. The model provides posterior predictive data for the unobserved DMUs to augment the frontier in the DEA that provides a posterior predictive distribution for the efficiency scores. We explore the method on a multiple-input and multiple-output DEA model. The data for the example are from a comprehensive examination of how nursing homes complete a standardized mandatory assessment of residents.
“…Process-based costing methods were used to determine the cost of the intervention. Data on costs was prospectively collected using established micro-costing methods [15]. Costs for providing the intervention (including set up and administration of the individual sessions) were computed and tracked across each NH.…”
“…Fixed costs are independent of the number of individuals participating while variable costs are directly associated with the number of participants enrolled [47]. Costs depend on the resources used and the prices of those resources, and valid cost analyses are based on a clear understanding of the actual process being evaluated [48,49]. To assure a complete accounting of the resources used in the phone conference call and OSN groups, a process flow chart will be created and validated by consensus of the investigators [50].…”
Management of obesity in the context of the primary care physician visit is of limited efficacy in part because of limited ability to engage participants in sustained behavior change between physician visits. Therefore, healthcare systems must find methods to address obesity that reach beyond the walls of clinics and hospitals and address the issues of lifestyle modification in a cost-conscious way. The dramatic increase in technology and online social networks may present healthcare providers with innovative ways to deliver weight management programs that could have an impact on health care at the population level. A randomized study will be conducted on 70 obese adults (BMI 30.0–45.0 kg/m2) to determine if weight loss (6 months) is equivalent between weight management interventions utilizing behavioral strategies by either a conference call or social media approach. The primary outcome, body weight, will be assessed at baseline and 6 months. Secondary outcomes including waist circumference, energy and macronutrient intake, and physical activity will be assessed on the same schedule. In addition, a cost analysis and process evaluation will be completed.
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