HIP FRACTURE SURGERY: WHO SHOULD GO FIRST? A PERSONALIZED MEDICINE TOOL

In a resource limited environment, clinicians need to prioritize care. Identifying who would most benefit from care, specifically early care, could inform this decision. We introduce a new way to identify patients who will benefit the most when deciding who should be treated first, in hip fracture cases where timing of surgery matters. We assess the probability that the surgery timing is a necessary and sufficient cause for reduction of in-hospital mortality. This approach, Unit Selection based on counterfactual logic developed by Mueller and Pearl, provides a deeper understanding of individual benefits compared to traditional risk assessment tools. We studied hospital records of patient undergoing hip fracture in Canada over 8 years, using the CIHI Discharge Abstract Database. First, we compared the effect of having surgery within two days to waiting longer on 64 groups (strata) of patients with different health, age, hospital, and care factors. Using a Unit Selection approach, we estimated the probability of benefit (decreased probability of mortality), or how likely each group was to benefit from early surgery. We measured the benefit for each person by comparing their potential outcomes after early and delayed surgery. In a cohort of 139,119 patients (74.3% women, 45.8% 85 years or older, 67% receiving early surgery -within 2 days), the average effect showed 8 fewer deaths per 1,000 surgeries when treatment was received early, within 2 days. In 14 out of 64 groups there was a much greater benefit from early surgery than the stated average: with their upper bound ranging from 7% to 15%. We identified Pre-hospital place of residence, Age, Type of Surgery (arthroplasty vs fixation) and Care environment (teaching vs community hospital), as important factors that define the population that may benefit from early surgery (Fig 1) Measuring probability of benefit using the Unit Selection method helped identify “who should go first” by looking at how likely it is that an individual patient benefit from early surgery. We created a Personalized Decision Making Tool that compares the individual-level benefit in different groups based on their clinical and care factors. This could assist doctors in determining which patients should receive hip fracture surgery first when prioritization is necessary. For any figures or tables, please contact the authors directly.

Authors

Institutions

Publication Details

Journal
Orthopaedic Proceedings
Published
2025-11-21
DOI
https://doi.org/10.1302/1358-992x.2025.14.036
Primary Topic
Hip and Femur Fractures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HIP FRACTURE SURGERY: WHO SHOULD GO FIRST? A PERSONALIZED MEDICINE TOOL

Boris Sobolev, Pierre Guy, Mary Dunbar, Lisa Kuramoto
Orthopaedic Proceedings
Hip and Femur Fractures
article

HIP FRACTURE SURGERY: WHO SHOULD GO FIRST? A PERSONALIZED MEDICINE TOOL

Boris Sobolev, Pierre Guy, Mary Dunbar, Lisa Kuramoto
article en

Abstract

In a resource limited environment, clinicians need to prioritize care. Identifying who would most benefit from care, specifically early care, could inform this decision. We introduce a new way to identify patients who will benefit the most when deciding who should be treated first, in hip fracture cases where timing of surgery matters. We assess the probability that the surgery timing is a necessary and sufficient cause for reduction of in-hospital mortality. This approach, Unit Selection based on counterfactual logic developed by Mueller and Pearl, provides a deeper understanding of individual benefits compared to traditional risk assessment tools. We studied hospital records of patient undergoing hip fracture in Canada over 8 years, using the CIHI Discharge Abstract Database. First, we compared the effect of having surgery within two days to waiting longer on 64 groups (strata) of patients with different health, age, hospital, and care factors. Using a Unit Selection approach, we estimated the probability of benefit (decreased probability of mortality), or how likely each group was to benefit from early surgery. We measured the benefit for each person by comparing their potential outcomes after early and delayed surgery. In a cohort of 139,119 patients (74.3% women, 45.8% 85 years or older, 67% receiving early surgery -within 2 days), the average effect showed 8 fewer deaths per 1,000 surgeries when treatment was received early, within 2 days. In 14 out of 64 groups there was a much greater benefit from early surgery than the stated average: with their upper bound ranging from 7% to 15%. We identified Pre-hospital place of residence, Age, Type of Surgery (arthroplasty vs fixation) and Care environment (teaching vs community hospital), as important factors that define the population that may benefit from early surgery (Fig 1) Measuring probability of benefit using the Unit Selection method helped identify “who should go first” by looking at how likely it is that an individual patient benefit from early surgery. We created a Personalized Decision Making Tool that compares the individual-level benefit in different groups based on their clinical and care factors. This could assist doctors in determining which patients should receive hip fracture surgery first when prioritization is necessary. For any figures or tables, please contact the authors directly.

Orthopaedic ProceedingsVol. 107-B(SUPP_14)
University of British Columbia (CA)
Openalex Percentile: Top 45%
Hip and Femur Fractures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.