Dataset Information

Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.

ABSTRACT:

Objective

Prediction models can be useful tools for monitoring patient status and personalizing treatment in health care. The goal of this study was to compare the relative strengths and weaknesses of 2 different approaches for predicting functional recovery after knee arthroplasty: a neighbors-based "people-like-me" (PLM) approach and a linear mixed model (LMM) approach.

Materials and methods

We used 2 distinct datasets to train and then test PLM and LMM prediction approaches for functional recovery following knee arthroplasty. We used the Timed Up and Go (TUG)-a common test of mobility-to operationalize physical function. Both approaches used patient characteristics and baseline postoperative TUG values to predict TUG recovery from days 1-425 following surgery. We then compared the accuracy and precision of PLM and LMM predictions.

Results

A total of 317 patient records with 1379 TUG observations were used to train PLM and LMM approaches, and 456 patient records with 1244 TUG observations were used to test the predictions. The approaches performed similarly in terms of mean squared error and bias, but the PLM approach provided more accurate and precise estimates of prediction uncertainty.

Discussion and conclusion

Overall, the PLM approach more accurately and precisely predicted TUG recovery following knee arthroplasty. These results suggest PLM predictions may be more clinically useful for monitoring recovery and personalizing care following knee arthroplasty. However, clinicians and organizations seeking to use predictions in practice should consider additional factors (eg, resource requirements) when selecting a prediction approach.

SUBMITTER: Graber J

PROVIDER: S-EPMC10161535 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.

Graber Jeremy J Kittelson Andrew A Juarez-Colunga Elizabeth E Jin Xin X Bade Michael M Stevens-Lapsley Jennifer J

Journal of the American Medical Informatics Association : JAMIA 20221001 11

<h4>Objective</h4>Prediction models can be useful tools for monitoring patient status and personalizing treatment in health care. The goal of this study was to compare the relative strengths and weaknesses of 2 different approaches for predicting functional recovery after knee arthroplasty: a neighbors-based "people-like-me" (PLM) approach and a linear mixed model (LMM) approach.<h4>Materials and methods</h4>We used 2 distinct datasets to train and then test PLM and LMM prediction approaches for ...[more]

PMID: 35903035

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Project description:ObjectivesTo assess cost-effectiveness of enhanced recovery pathways following total hip and knee arthroplasties. Secondary objectives were to report on quality of studies and identify research gaps for future work.DesignSystematic review of cost-utility analyses.Data sourcesOvid MEDLINE, Embase, the National Health Service Economic Evaluations Database and EconLit, January 2000 to August 2019.Eligibility criteriaEnglish-language peer-reviewed cost-utility analyses of enhanced recovery pathways, or components of one, compared with usual care, in patients having total hip or knee arthroplasties for osteoarthritis.Data extraction and synthesisData extracted by three reviewers with disagreements resolved by a fourth. Study quality assessed using the Consensus on Health Economic Criteria list, the International Society for Pharmacoeconomics and Outcomes Research and Assessment of the Validation Status of Health-Economic decision models tools; for trial-based studies the Cochrane Collaboration's tool to assess risk of bias. No quantitative synthesis was undertaken.ResultsWe identified 17 studies: five trial-based and 12 model-based studies. Two analyses evaluated entire enhanced recovery pathways and reported them to be cost-effective compared with usual care. Ten pathway components were more effective and cost-saving compared with usual care, three were cost-effective, and two were not cost-effective. We had concerns around risk of bias for all included studies, particularly regarding the short time horizon of the trials and lack of reporting of model validation.ConclusionsConsistent results supported enhanced recovery pathways as a whole, prophylactic systemic antibiotics, antibiotic-impregnated cement and conventional ventilation for infection prevention. No other interventions were subject of more than one study. We found ample scope for future cost-effectiveness studies, particularly analyses of entire recovery pathways and comparison of incremental changes within pathways. A key limitation is that standard practices have changed over the period covered by the included studies.Prospero registration numberCRD42017059473.

Project description:BackgroundThe length of hospital stay after lower limb arthroplasty has rapidly decreased in the last decade, largely in part due to the rise of improved perioperative protocols, but also as a response to the increased economic demand associated with the rapid growth in hip and knee arthroplasty procedures. In line with this, the development of a new pathway after lower limb arthroplasty that allows for the surgery to be performed in an outpatient setting and permits for same-day discharge after the procedure is increasingly being offered. Although costs and complications between the inpatient and outpatient models have been compared, there appears to be little known about the effects on a patient's physical function after undergoing hip or knee outpatient arthroplasty. Therefore, this systematic review aims to explore the available evidence for the effect on functional outcomes following inpatient versus outpatient hip or knee arthroplasty.MethodsThis systematic review adhered to the PRISMA guidelines and was prospectively registered ( https://osf.io/8bfae/ ). An electronic search of three online databases (PubMed, CINAHL and EMBASE) was conducted to identify eligible studies. All studies investigating inpatient and outpatient comparator groups, for a population of patients undergoing hip or knee arthroplasty, that assessed one or more functional outcomes, were included. A methodological quality appraisal was undertaken for the final studies contained in this review. A narrative synthesis of results is described along with quantitative outcomes presented in tables and figures.ResultsA total of seven studies containing 1,876 participants were included in this review. Four studies assessed a THA population, two assessed TKA and one assessed both. Functional outcomes varied, with 20 different functional outcomes utilised, of which 18 were patient-reported tools. Results of functional outcomes offered mixed support for both inpatient and outpatient pathways.ConclusionsThe results of this review suggest that outpatient or inpatient pathway selection for hip or knee arthroplasty should not be based on the superiority of functional outcomes alone. However, given there is growing evidence in support of an outpatient pathway in select patients with respect to cost savings and without any increase in complications, it could be proposed that an equivalency of post-operative function between the two settings makes same-day discharge favourable. Publicly registered with Open Science Framework ( https://osf.io/8bfae/ ).

Dataset Information

Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.

Objective

Materials and methods

Results

Discussion and conclusion

Publications

Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.

Similar Datasets

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