Quality measures for the care of patients with lateral epicondylalgia

Francisco Minaya-Muñoz, Francesc Medina-Mirapeix, Fermin Valera-Garrido, Francisco Minaya-Muñoz, Francesc Medina-Mirapeix, Fermin Valera-Garrido

Abstract

Background: Lateral epicondylalgia (LE) defines a condition of varying degrees of pain near the lateral epicondyle. Studies on the management of LE indicated unexplained variations in the use of pharmacologic, non-pharmacological and surgical treatments. The main aim of this paper was to develop and evaluate clinical quality measures (QMs) or quality indicators, which may be used to assess the quality of the processes of examination, education and treatment of patients with LE.

Methods: Different QMs were developed by a multidisciplinary group of experts in Quality Management of Health Services during a period of one year. The process was based following a 3-step model: i) review and proportion of existing evidence-based recommendations; ii) review and development of quality measures; iii) pilot testing of feasibility and reliability of the indicators leading to a final consensus by the whole panel.

Results: Overall, a set of 12 potential indicators related to medical and physical therapy assessment and treatment were developed to measure the performance of LE care. Different systematic reviews and randomized control trials supported each of the indicators judged to be valid during the expert panel process. Application of the new indicator set was found to be feasible; only the measurement of two quality measures had light barriers. Reliability was mostly excellent (Kappa > 0.8).

Conclusions: A set of good practice indicators has been built and pilot tested as feasible and reliable. The chosen 3-step standardized evidence-based process ensures maximum clarity, acceptance and sustainability of the developed indicators.

Figures

Figure 1
Figure 1
Diagram of the 3-step process developed to define the quality measures.
Figure 2
Figure 2
Exemplary presentation of standardized report for an evidence-based quality measure.

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Source: PubMed

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