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Comparison of a validated decision-support tool to a standard of care triage system for knee osteoarthritis assessment: a proof-of-concept study.
BACKGROUND: Patients with knee osteoarthritis (OA) in northwestern Ontario are referred by their primary care provider (PCP) to a centralized assessment clinic for evaluation by an advanced practice physiotherapist (APP) to determine if they will require surgical management. However, many patients are found to not require surgical management, resulting in delays for patients who do. A decision-support tool was developed to address this issue and to guide treatment options by determining the need for surgical or nonsurgical approaches.
METHODS: We used a proof-of-concept method to assess the use of the decision-support tool in northwestern Ontario. Data from 100 consecutive patients assessed for knee OA management were collected from the Thunder Bay centralized assessment clinic. Two levels of agreement analyses (calculated using Cohen κ statistic) were performed, between the APP assessment decision (surgical or non-surgical) and the decision-support tool recommendation, and between the surgeon's decision (surgical or non-surgical) and the decision-support tool recommendation.
RESULTS: We found a near-perfect agreement (κ = 0.870, n = 65) between the APP decision and the decision-support tool recommendation, when controlled for patient preference. There was a substantial level of agreement (κ = 0.618, n = 72) between the decision-support tool recommendation and the surgeon's decision.
CONCLUSION: The decision-support tool recommendation showed considerable agreement with the decisions of the APP and surgeon indicating that it could be a valuable tool to guide PCPs caring for patients with knee OA. The applicability of a decision-support tool in northwestern Ontario displayed promising results, but further research is needed to examine the feasibility in a primary care setting.
METHODS: We used a proof-of-concept method to assess the use of the decision-support tool in northwestern Ontario. Data from 100 consecutive patients assessed for knee OA management were collected from the Thunder Bay centralized assessment clinic. Two levels of agreement analyses (calculated using Cohen κ statistic) were performed, between the APP assessment decision (surgical or non-surgical) and the decision-support tool recommendation, and between the surgeon's decision (surgical or non-surgical) and the decision-support tool recommendation.
RESULTS: We found a near-perfect agreement (κ = 0.870, n = 65) between the APP decision and the decision-support tool recommendation, when controlled for patient preference. There was a substantial level of agreement (κ = 0.618, n = 72) between the decision-support tool recommendation and the surgeon's decision.
CONCLUSION: The decision-support tool recommendation showed considerable agreement with the decisions of the APP and surgeon indicating that it could be a valuable tool to guide PCPs caring for patients with knee OA. The applicability of a decision-support tool in northwestern Ontario displayed promising results, but further research is needed to examine the feasibility in a primary care setting.
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