Patients' expectations and satisfaction with total hip arthroplasty

Mancuso, Carol A.; Salvati, Eduardo A.; Johanson, Norman A.; Peterson, Margaret G. E.; Charlson, Mary E.

doi:10.1016/s0883-5403(97)90194-7

Cited by 362 publications

(302 citation statements)

References 37 publications

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“…Patients with higher expectations for pain relief and walking improvement have greater levels of satisfaction than those wanting to improve non-essential activities after surgery (127). Furthermore, patients with better outcomes after THA or TKA tend to have higher levels of satisfaction (127).…”

Section: Outcomes Assessment In Hip and Knee Arthroplastymentioning

confidence: 99%

Update on hip and knee arthroplasty: Current state of evidence

Jones¹,

Westby²,

Greidanus³

et al. 2005

Arthritis & Rheumatism

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Section: Outcomes Assessment In Hip and Knee Arthroplastymentioning

confidence: 99%

Update on hip and knee arthroplasty: Current state of evidence

Jones¹,

Westby²,

Greidanus³

et al. 2005

Arthritis & Rheumatism

Self Cite

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“…Patient expectation is a subjective measure of one's mindset and can be influenced by complex variables, such as anxiety, selfconfidence, and knowledge. Meeting patient expectation has been shown to strongly correlate with patient satisfaction [18,19].…”

Section: Discussionmentioning

confidence: 99%

Preoperative Pain Level and Patient Expectation Predict Hospital Length of Stay After Total Hip Arthroplasty

Halawi

Vovos

Green

et al. 2015

The Journal of Arthroplasty

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a b s t r a c t a r t i c l e i n f oThe purpose of this study was to identify preoperative predictors of length of stay after primary total hip arthroplasty in a patient population reflecting current trends toward shorter hospitalization and using readily obtainable factors that do not require scoring systems. A retrospective review of 112 consecutive patients was performed. High preoperative pain level and patient expectation of discharge to extended care facilities (ECFs) were the only significant multivariable predictors of hospitalization extending beyond 2 days (P = 0.001 and P b 0.001 respectively). Patient expectation remained significant after adjusting for Medicare's 3-day requirement for discharge to ECFs (P b 0.001). The study was adequately powered to analyze the variables in the multivariable logistic regression model, which had a concordance index of 0.857.

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“…Our quality intervention was centered on the so-called Mother Nature factor (patient intrinsic characteristics) and in particular on the importance of patient's expectations in influencing their rating of the ''process performance.'' The selection of patient expectations as a potential predictor of outcome was based on both a literature review [e.g., [50][51][52][53], previous studies conducted in our department, and on the feedback of the spine surgeons regarding their own impression of why patients might be disappointed with their results following what might be viewed by the surgeons as a successful operation [54]; one important characteristic of the 6-r is that it is based on an effective teamwork, where the opinions of all individuals involved in the process are taken into account.…”

Section: Definementioning

confidence: 99%

Money matters: exploiting the data from outcomes research for quality improvement initiatives

et al. 2009

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In recent years, there has been an increase in studies that have sought to identify predictors of treatment outcome and to examine the efficacy of surgical and nonsurgical treatments. In addition to the scientific advancement associated with these studies per se, the hospitals and clinics where the studies are conducted may gain indirect financial benefit from participating in such projects as a result of the prestige derived from corporate social responsibility, a reputational lever used to reward such institutions. It is known that there is a positive association between corporate social performance and corporate financial performance. However, in addition to this, the research findings and the research staff can constitute resources from which the provider can reap a more direct benefit, by means of their contribution to quality control and improvement. Poor quality is costly. Patient satisfaction increases the chances that the patient will be a promoter of the provider to friends and colleagues. As such, involvement of the research staff in the improvement of the quality of care can ultimately result in economic revenue for the provider. The most advanced methodologies for continuous quality improvement (e.g., six-sigma) are data-driven and use statistical tools similar to those utilized in the traditional research setting. Given that these methods rely on the application of the scientific process to quality improvement, researchers have the adequate skills and mind-set to embrace them and thereby contribute effectively to the quality team. The aim of this article is to demonstrate by means of real-life examples how to utilize the findings of outcome studies for quality management in a manner similar to that used in the business community. It also aims to stimulate research groups to better understand that, by adopting a different perspective, their studies can be an additional resource for the healthcare provider. The change in perspective should stimulate researchers to go beyond the traditional studies examining predictors of treatment outcome and to see things instead in terms of the ''bigger picture'', i.e., the improvement of the process outcome, the quality of the service.

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Patients' expectations and satisfaction with total hip arthroplasty

Cited by 362 publications

References 37 publications

Update on hip and knee arthroplasty: Current state of evidence

Update on hip and knee arthroplasty: Current state of evidence

Preoperative Pain Level and Patient Expectation Predict Hospital Length of Stay After Total Hip Arthroplasty

Money matters: exploiting the data from outcomes research for quality improvement initiatives

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