Background and aims Previous studies have suggested there is an association between preoperative expectations about the outcome and outcomes of total knee and total hip arthroplasty (TKA/THA). However, expectations have been rarely examined on their clinical relevance relative to other well-known predictive factors. Furthermore expectations can be measured on a more generic level (e.g. does one expect their symptoms to improve after surgery) or on a more specific level (e.g. does one expect to be able to squat again after surgery). Aim of this study was to examine whether patients' general and specific preoperative outcome expectations predict function and pain 12-months after TKA/THA, when assessed as one of the candidate predictive variables alongside other relevant clinical and sociodemographic variables. Moreover, we explored whether a more generic or a more specific assessment of expectations would better predict outcome. Methods A prospective cohort study on consecutive TKA/THA patients, with assessments done preoperatively and 12-months postoperative. Primary outcomes were the knee injury and osteoarthritis outcome score (KOOS) and hip injury and osteoarthritis outcome score (HOOS) activities of daily living (ADL) and pain subscale scores at 12-months. The pain subscales consist of nine-(KOOS) and 10-(HOOS) items and the ADL of 17 items. Patients' preoperative outcome expectations were measured with the credibility expectancy questionnaire (CEQ), which contains three items scored on a 0-9 scale and sum score 0-27 and the Hospital for Special Surgery expectations surveys (HSS expectation surveys) for 17(TKA) or 18(THA) outcomes on 0-4 scale. Other candidate predictors: preoperative pain and function as measured with HOOS/KOOS, sex, age, education level, body mass index, Kellgren/Lawrence score, preoperative mental health and treatment credibility as measured with CEQ. Eight prediction models were constructed using multivariate linear regression analysis with a backward selection procedure. Results The 146 TKA patients included in this study had a mean age of 66.9 years (SD 9.2) and 69% was female. The 148 THA patients had a mean age 67.2 (SD 9.5) and 57% was female. Mean outcomes: postoperative HOOS-ADL 84.3 (SD 16.6), pain 88.2 (SD 15.4), KOOS-ADL 83.9 (SD 15.8) and pain 83.6 (SD 17.1). CEQ-expectancy median was in THA 23 (IQR 21;24) and TKA 23 (IQR 20;24). HSS-expectation surveys function was for THA 21.0 (18.0;24.0) and 19.0 (14.0;22.0) in TKA. Patients' outcome expectations were consistently part of the combination of variables that best predicted outcomes for both TKA/THA 1-year post-operatively. Expectations alone explained between 17.0 and 30.3% of the variance in outcomes. The CEQ expectancy subscale explained more variance of postoperative function in TKA and of function and pain in THA as compared to the HSS expectation surveys. Conclusions In planning of surgical treatment, orthopedic surgeons should take a range of variables into account of which the patient's expectations about outcome of surgery is one. The CEQ expectancy subscale predicted outcomes slightly better as the HSS expectation surveys, but differences in predictive value of the two measurements were too small to prefer between the two. Future studies are advised to replicate these findings and externally validate the models presented.
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http://dx.doi.org/10.1515/sjpain-2018-0022 | DOI Listing |
J Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, 200 First St SW, Rochester, US.
Background: Virtual patients (VPs) are computer screen-based simulations of patient-clinician encounters. VP use is limited by cost and low scalability.
Objective: Show proof-of-concept that VPs powered by large language models (LLMs) generate authentic dialogs, accurate representations of patient preferences, and personalized feedback on clinical performance; and explore LLMs for rating dialog and feedback quality.
PLoS One
January 2025
Centre for Rehab Innovations, University of Newcastle, Callaghan, NSW, Australia.
Background: Dissatisfaction with Total Knee Arthroplasty (TKA) surgical outcomes remains between 10-20% and is associated with higher levels of societal costs. Expectations regarding post-surgical outcomes is considered as one of the major factors influencing satisfaction, however, there are no standardised methods for assessing patient's expectations regarding activities to be achieved following surgery.
Objectives: The aims of this study were to identify patient expectations relating to activities of importance following TKA and to describe goal fulfillment at 3 months post-TKA.
PLoS One
January 2025
School of Public Health, Makerere University, Kampala, Uganda.
Introduction: Cervical cancer (CC) is the leading cause of cancer-related deaths among Uganda women, yet rates of CC screening are very low. Training women who have recently screened to engage in advocacy for screening among women in their social network is a network-based strategy for promoting information dissemination and CC screening uptake.
Methods: Drawing on the Exploration, Preparation, Implementation and Sustainment (EPIS) framework for implementation science, this hybrid type 1 randomized controlled trial (RCT) of a peer-led, group advocacy training intervention, Game Changers for Cervical Cancer Prevention (GC-CCP), will examine efficacy for increasing CC screening uptake as well as how it can be implemented and sustained in diverse clinic settings.
PLoS One
January 2025
Faculty of Medical Sciences, Department of Community Medicine, Cancer Research Center, University of Sri Jayewardenepura, Sri Jayewardenepura, Sri Lanka.
Objectives: In Sri Lanka, cancer is a significant contributor to both morbidity and mortality rates. In 2022, 33,243 new cancer cases were reported, resulting in an age- standardized incidence rate of 106.9 per 100,000 individuals.
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