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Record W2979035489 · doi:10.1097/corr.0000000000000552

Value-based Healthcare: Applying Time-driven Activity-based Costing in Orthopaedics

2018· article· en· W2979035489 on OpenAlexaff
Aakash Keswani, Nicole Sheikholeslami, Kevin J. Bozic

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsCARE Canada
Fundersnot available
KeywordsActivity-based costingHealth careMedicineCost driverIndirect costsOperations managementProcess costingCost accountingResource-based relative value scaleCost estimateLiberian dollarBusinessAccountingEconomicsNursing

Abstract

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Introduction Healthcare delivery and payment in orthopaedics is shifting towards value, defined as patient health outcomes achieved per healthcare dollar spent [7]. Although we are improving our ability to measure and deliver care that focuses on improving outcomes that matter to patients, our ability to measure and understand the costs associated with that care remains challenging. Traditional cost accounting methods employ a “top-down” approach, applying cost-to-charge ratios or relative value units to estimate and allocate indirect and support costs. Although efficient, these approaches are largely arbitrary and do little to deconstruct the complex processes of healthcare delivery and elucidate major drivers of cost, rendering them unusable for measuring value. Time-driven activity-based costing (TDABC), developed by Kaplan and Anderson [3], addresses many of the shortcomings of traditional cost accounting methods. Taking a “bottom-up” approach, TDABC more-accurately estimates cost by allocating indirect/support costs to activities performed by capacity-supplying resources such as clinical/nonclinical staff and equipment. Cost estimates for TDABC are based on two parameters: (1) Per-minute cost for each resource involved in the process of care and (2) average time of each resource required. For personnel, the former is calculated as a function of salary and benefits divided by the practical capacity (considered full-time less sick-time, vacation, presenteeism). Utilization times are determined via direct observation or by interviewing personnel [3]. Time-driven activity-based costing can be used to estimate expected per-patient costs for the management of specific musculoskeletal conditions such as hip or knee osteoarthritis, neck pain, or back pain. To date, TDABC has been applied at three levels: (1) The procedure level (epidural analgesia for thoracic surgery patients [6], carpal tunnel release [4]), (2) the index admission level (head and neck cancer [8], ankle fracture [5]), and (3) the 90-day episode level (total joint replacement [1]) to improve processes, understand profitability, and inform pricing strategy. Applying TDABC to Orthopaedics Applying TDABC is a collaborative effort that requires both clinical and nonclinical expertise. Before implementing TDABC, it is important first to define the scope (process, procedure, or pathway) to which TDABC will be applied; following that, one can develop a process map, which includes summative lists of all steps involved in care delivery (including both direct patient-care and supporting activities) based on input from personnel involved in both types of activities (Fig. 1).Fig. 1: Hip/knee osteoarthritis care pathway (related visits/patient touchpoints) by disease severity and treatment approach (surgical versus nonsurgical).Let’s use outpatient knee injection as an example (Fig. 2). Time-driven activity-based costing can be implemented by healthcare providers in four steps [6]. Develop process maps (chronological steps in care delivery) for the injection, taking into consideration the clinical and nonclinical team members involved. Calculate per-minute costs (capacity cost rates) for personnel/equipment in administration of the knee injection, and estimate the time required to perform the treatment during the visit. Multiply the capacity cost rates for each resource against the time utilization to arrive at a total cost of the resource for the process. Estimate additional overhead costs like space (exam, procedure, or operating room), healthcare information technology, and general supplies that can be allocated to the knee injection based on total costs for these services from the organization’s accounting system. For example, if total facilities costs represent 100 exam rooms operating 50 weeks per year, TDABC would calculate the cost of one exam room for 20 minutes. To understand the cost of the full cycle of care, add together the total costs for each utilized resource, the attributable overhead costs, and any direct costs such as the purchase price of appropriate dose of injectable drugs. Fig. 2: An illustrative example of TDABC of a knee injection procedure is shown. The left side describes basic components of any TDABC estimate. Steps A-E on the right side lay out the sequential steps for carrying out TDABC for a knee injection procedure.Applying TDABC in this manner to an outpatient knee injection procedure allows for more accurate estimation of costs and identifies opportunities to reduce costs through process improvements. Improving Operational Efficiency Mapping of direct patient care and supporting activities can identify important opportunities for improving operational efficiency. For example, in our practice, the per-patient costs of initial and followup visits has decreased substantially by having the associate provider—a specialty-trained physician assistant/nurse practitioner—as the patient’s first point of contact and leader in designing his/her care plan. This approach of reallocating personnel to function at the highest level of their licensure has been applied across treatment pathways to all shared resources including behavioral health, nutrition counseling, and social work. Beyond reducing per-minute costs of each visit, activity-mapping helps identify redundant steps that can be eliminated as well as those steps (data gathering, scheduling, huddles for developing preliminary plans for each patient) that can be moved out of the clinic setting and simply done over the phone, online, or pushed upstream (before the initial visit) to minimize each patient’s in-clinic cycle time. Improving the latter increases the number of patients that can be seen and cared for in high-cost spaces such as exam or procedure rooms. Any proposed process change must be assessed in context of the entire practice to avoid the potential impact of increasing costs or creating inefficiencies in care for other conditions as capacity-supplying resources (personnel, equipment, procedure rooms) are shared across conditions. Lastly, ongoing monitoring of costs and efficiency can be incorporated into performance-based incentives as has been done previously for total joint replacement [2]. Identifying Opportunities to Improve Value By adjusting for demographic characteristics, clinical comorbidity burden, and musculoskeletal disease prevalence, TDABC modeling can be used to estimate the expected costs and resources (staffing, equipment) required to manage a target patient population. Comparing TDABC cost estimates to a payer/employer’s baseline costs (derived from claims data) can help providers identify the conditions, procedures, and patients where value can be most improved via a value-centric delivery approach. Providers can then allocate resources, staffing, and marketing towards those patients/conditions where the provider is best positioned to succeed. Informing Value-based Contracting Adjusted TDABC cost estimates, along with a built-in buffer for error or outliers, are critical for setting a price floor in value-based contracting. For patients/conditions where expected time-based costs of value-based healthcare delivery exceed the status quo, providers are better-equipped to explain the exact reasons for higher costs and justify the upfront investment with expected reduction in total episode costs of care (either from reduced use of costly interventions like surgery or incremental reductions in ongoing condition-related spending). Conclusion Time-driven activity-based costing has many important advantages to provider organizations looking to deliver higher-value care. By examining complex services via process mapping and capacity cost rates, health care systems gain a better understanding of the major cost drivers associated with the services they deliver, unnecessary or redundant processes, and how best to allocate resources when longitudinally managing cost and outcomes of musculoskeletal conditions and procedures. In essence, TDABC helps to bridge our ability to measure and understand the costs associated with the provision of musculoskeletal care, which is a critical step in improving value.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.041
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.009
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0030.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.516
GPT teacher head0.555
Teacher spread0.039 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations12
Published2018
Admission routes1
Has abstractyes

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