Evidence map›Paper›PMID 41983028›Full record

ArticleLearning health systems2026

Inpatient Recovery of Function After Knee Replacement: A Longitudinal Evaluation Across Four Sequential Care Pathway Redesigns.

Jelmer Jager, Wim van Houtert, Wim P Krijnen, Richard Bimmel, Nico L U van Meeteren, Thomas J Hoogeboom, Reinier P Akkermans, Geert van der Sluis

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Article in Learning health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jelmer JagerFaculty of Health University of Applied Sciences Leiden Leiden the Netherlands.ORCID https://orcid.org/0000-0003-4697-9042
Wim van HoutertApplied Healthcare Innovation Welfare and Care, Firda Drachten the Netherlands.
Wim P KrijnenResearch Group Healthy Ageing Allied Health Care and Nursing, Hanze University of Applied Sciences Groningen Groningen the Netherlands.
Richard BimmelDepartment of Orthopaedics Nij Smellinghe Hospital Drachten Drachten the Netherlands.
Nico L U van MeeterenDepartment of Cardiothoracic Surgery Erasmus Medical Centre Rotterdam the Netherlands.
Thomas J HoogeboomUniversity Medical Center Utrecht, Utrecht University, Department of Rehabilitation, Physiotherapy Science & Sports, UMC Utrecht Brain Centre Utrecht the Netherlands.
Reinier P AkkermansIQ Health Science Department Radboud University Medical Centre Nijmegen the Netherlands.
Geert van der SluisResearch Group Healthy Ageing Allied Health Care and Nursing, Hanze University of Applied Sciences Groningen Groningen the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Inpatient recovery of activities (IRoA) is a key outcome after total knee replacement (TKR), reflecting the patient's ability to regain independence. Preoperative prediction can support shared decision-making and care planning, but its accuracy may decline as healthcare contexts evolve. This study evaluated: Stability of the predictors used for estimating IRoA across sequential care pathway redesigns.Temporal transportability of prediction models for IRoA over different time periods. Methods: A retrospective longitudinal cohort study was conducted at Nij Smellinghe Hospital (the Netherlands) using routine clinical data from 1853 patients opting for TKR surgery between 2009 and 2020. Four consecutive care pathway periods were studied: Joint-Care, Function Tailored, Fast Track, and Prehabilitation. IRoA was assessed using the modified Iowa Levels of Assistance Scale (mILAS). Multinomial regression and minimum Akaike Information Criterion (AIC) guided selection of preoperative predictors (e.g., age, ASA score, TUG, DEMMI). Model performance and temporal transportability were evaluated across periods. Results: Predictor stability was limited across care pathways. Age was consistently retained in all periods for both slow and regular recovery groups. DEMMI was retained in all but the Function Tailored period, while BMI was not retained in any model. ASA and ISAR were variably retained, mainly in later periods and predominantly for slow recovery. TUG was inconsistently retained and primarily selected in earlier periods. Model performance declined when models were applied to later care pathways, with predicted correct proportions decreasing from 0.70 to 0.59, 0.66 to 0.43, and 0.51 to 0.36 across successive transitions. The Prehabilitation model achieved a predicted correct proportion of 0.65 within its own period. Conclusions: Prediction of IRoA after TKR is sensitive to changes in care pathways. Predictor relevance and model performance varied over time, limiting temporal transportability. Ongoing model updating and local recalibration are required to maintain clinical usefulness in evolving care contexts.

Indexed as

inpatient functional recoveryprediction modelingroutinely collected data

Identifiers

PMID41983028
PMCPMC13074427

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.