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Using discrete choice experiments as a decision aid in total knee arthroplasty: study protocol for a randomised controlled trial

Overview of attention for article published in Trials, August 2016
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Title
Using discrete choice experiments as a decision aid in total knee arthroplasty: study protocol for a randomised controlled trial
Published in
Trials, August 2016
DOI 10.1186/s13063-016-1536-5
Pubmed ID
Authors

Michelle M. Dowsey, Anthony Scott, Elizabeth A. Nelson, Jinhu Li, Vijaya Sundararajan, Mandana Nikpour, Peter F. M. Choong

Abstract

Osteoarthritis (OA) is a leading cause of disability in developed nations. Total knee arthroplasty (TKA) is a clinically effective treatment for people with end-stage knee OA, and represents one of the highest volume medical interventions globally. However, up to one in three patients remain dissatisfied following TKA. Research indicates that the strongest predictor of patient dissatisfaction following TKA is unmet expectations. This study will use a discrete choice experiment (DCE) provided to patients to improve knowledge of the expected outcomes of TKA. This increased knowledge is based on actual outcome data and is hypothesised to optimise patient expectations of TKA outcomes, thereby increasing their satisfaction and self-reported health outcomes. One hundred and thirty-two people with end-stage OA on the waiting list for TKA will be recruited and randomly allocated to one of two groups using computer-generated block randomisation. A randomised controlled trial (RCT) adhering to SPIRIT and CONSORT guidelines will evaluate the effect of administering a DCE prior to surgery on patient-reported pain and function and satisfaction following TKA. Patients in the intervention arm will complete a survey containing the DCE, compared to the control group who will complete a modified survey that does not contain the DCE activity. The DCE contains information on actual risks of postoperative complications, as well as health status after TKA. The DCE encourages patients to actively make trade-offs between risks and health outcomes to elicit their preferences. Participants in both groups will be required to complete the survey after consenting to have the procedure, but prior to surgery during their routine preadmission appointment at St. Vincent's Hospital, Melbourne, Australia (SVHM). Patients in both the intervention and control groups will also be required to complete a brief patient expectation survey 1 week prior to scheduled TKA. In addition, orthopaedic surgeons will complete a brief expectations survey for each patient consented for TKA to compare matched surgeon and patient expectations for recovery following TKA. Primary outcomes will be evaluated by a blinded examiner at 12 months post surgery using a validated self-reported pain and physical function scale, and a validated patient satisfaction scale. Secondary outcomes will include a range of validated measures of health and psychological wellbeing. All analyses will be conducted on an intention-to-treat basis using linear regression models. This study is the first of its kind to use a DCE to provide information to patients to optimise their expectations of the outcomes of surgery. Reducing the rate of patient dissatisfaction commonly seen in patients following TKA will help to reduce the burden associated with poor outcomes on the health system. Australian New Zealand Clinical Trials Registry ( ACTRN12615001226594p ). Version 1; registered on 9 November 2015.

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The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 17%
Student > Ph. D. Student 18 12%
Researcher 15 10%
Student > Bachelor 15 10%
Student > Doctoral Student 8 5%
Other 21 14%
Unknown 47 32%
Readers by discipline Count As %
Medicine and Dentistry 34 23%
Nursing and Health Professions 23 15%
Psychology 10 7%
Social Sciences 4 3%
Business, Management and Accounting 4 3%
Other 21 14%
Unknown 53 36%