Response to Letter: Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients

Authors

  • Hidde Dijkstra Department of Orthopaedic Surgery, University Medical Centre Groningen, University of Groningen; University Center for Geriatric Medicine, University of Gron- ingen, University Medical Center Groningen, Groningen, the Netherlands
  • Cathleen S Parsons University Center for Geriatric Medicine, University of Groningen, University Medical Center Groningen, Groningen; Department of Engineering Systems & Services, Faculty Technology Policy and Management, Delft University of Technology, Delft, the Netherlands https://orcid.org/0009-0001-4384-1737
  • Hanne-Eva van Bremen Amsterdam Bone Center, Movement Sciences Amsterdam, Amsterdam; Dutch Institute for Clinical Auditing, Leiden; Amsterdam University Medical Centers, location Academic Medical Center, Internal Medicine and Geriatrics, University of Amsterdam, Amsterdam, the Netherlands
  • Hanna C Willems Amsterdam Bone Center, Movement Sciences Amsterdam, Amsterdam; Amsterdam University Medical Centers, location Academic Medical Center, Internal Medicine and Geriatrics, University of Amsterdam, Amsterdam; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
  • Anne A H de Hond Julius Centre for Health Sciences and Primary Care, University Medical Center, Utrecht, the Netherlands
  • Barbara C van Munster University Center for Geriatric Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
  • Job N Doornberg Department of Orthopaedic Surgery, University Medical Centre Groningen, University of Groningen, the Netherlands
  • Jacobien H. F. Oosterhoff Department of Orthopaedic Surgery, University Medical Centre Groningen, University of Groningen, the Netherlands

DOI:

https://doi.org/10.2340/17453674.2026.45733

Keywords:

Educational, Elderly patients, Fractures, Hip fracture, Machine learning, Shared decision making

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References

Yıldırım E. Letter to the Editor – Comment on: Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients. 2026; 97: 240. doi: 10.2340/17453674.2026.45362 DOI: https://doi.org/10.2340/17453674.2026.45362

Dijkstra H, Parsons C S, van Bremen H-E, Willems H C, De Hond A A H, C Van Munster B, et al. Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cases. Acta Orthop 2025; 96: 521-8. doi: 10.2340/17453674.2025.44248 DOI: https://doi.org/10.2340/17453674.2025.44248

Loggers S A I, Willems H C, Van Balen R, Gosens T, Polinder S, Ponsen K J, et al; Group FHS. Evaluation of quality of life after nonoperative or operative management of proximal femoral fractures in frail institutionalized patients: The FRAIL-HIP Study. JAMA Surg 2022; 157(5): 424-44. doi: 10.1001/jamasurg.2022.0089 DOI: https://doi.org/10.1001/jamasurg.2022.0089

Parsons C S, Zuiderwijk A, Orchard N A, Oosterhoff J H F, de Reuver M. Task-technology fit of artificial intelligence-based clinical decision support systems: a review of qualitative studies. BMC Med Inform Decis Mak 2025; 25(1): 397. doi: 10.1186/s12911-025-03237-8 DOI: https://doi.org/10.1186/s12911-025-03237-8

Published

2026-04-08

How to Cite

Dijkstra, H., Parsons, C. S., van Bremen, H.-E., Willems, H. C., de Hond, A. A. H., van Munster, B. C., … Oosterhoff, J. H. F. (2026). Response to Letter: Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients. Acta Orthopaedica, 97, 241–242. https://doi.org/10.2340/17453674.2026.45733