A hospital-based mixed-methods observational study to evaluate a hip and knee replacement quality improvement project

Author:

Wainwright Thomas W.ORCID,McDonald David

Abstract

PurposeHealth services continue to face economic and capacity challenges. Quality improvement (QI) methods that can improve clinical care processes are therefore needed. However, the successful use of current QI methods within hospital settings remains a challenge. There is considerable scope for improvement of elective clinical pathways, such as hip and knee replacement, and so the use and study of QI methods in such settings is warranted.Design/methodology/approachA model to manage variability was adapted for use as a QI method and deployed to improve a hip and knee replacement surgical pathway. A prospective observational study, with a mixed-methods sequential explanatory design (quantitative emphasised) that consisted of two distinct phases, was used to assess its effectiveness.FindingsFollowing the use of the novel QI method and the subsequent changes to care processes, the length of hospital stay was reduced by 18%. However, the interventions to improve care process highlighted by the QI method were not fully implemented. The qualitative data revealed that staff thought the new QI method (the model to manage variability) was simple, effective, offered advantages over other QI methods and had highlighted the correct changes to make. However, they felt that contextual factors around leadership, staffing and organisational issues had prevented changes being implemented and a greater improvement being made.Originality/valueThe quality of QI reporting in surgery has previously been highlighted as poor and lacking in prospective and comprehensively reported mixed-methods evaluations. This study therefore not only describes and presents the results of using a novel QI method but also provides new insights in regard to important contextual factors that may influence the success of QI methods and efforts.

Publisher

Emerald

Subject

Strategy and Management,General Business, Management and Accounting,Business and International Management,General Decision Sciences

Reference37 articles.

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2. Creswell, J.W., Plano Clark, V., Gutmann, M. and Hanson, W. (2003), “Advanced mixed methods research designs”, in Tashakkori, A. and Teddlie, C. (Eds), Handbook of Mixed Methods in Social and Behavourial Research, Sage, Thousand Oaks, CA, pp. 209-240.

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