Background: The USA devotes roughly $200 billion (6%) of annual national health expenditures to medical devices. A substantial proportion of this spending occurs during orthopedic (eg, hip and knee) arthroplasties - two high-volume hospital procedures. The implants used in these procedures are commonly known as physician preference items (PPIs), reflecting the physician's choice of implant and vendor used. The foundations for this preference are not entirely clear. This study examines what implant and vendor characteristics, as evaluated by orthopedic surgeons, are associated with their preference. It also examines other factors (eg, financial relationships and vendor tenure) that may contribute to implant preference.
Methods: We surveyed all practicing orthopedic surgeons performing 12 or more implant procedures annually in the Commonwealth of Pennsylvania. The survey identified each surgeon's preferred hip/knee vendor as well as the factors that surgeons state they use in selecting that primary vendor. We compared the surgeons' evaluation of multiple characteristics of implants and vendors using analysis of variance techniques, controlling for surgeon characteristics, hospital characteristics, and surgeon-vendor ties that might influence these evaluations.
Results: Physician's preference is heavily influenced by technology/implant factors and sales/service factors. Other considerations such as vendor reputation, financial relationships with the vendor, and implant cost seem less important. These findings hold regardless of implant type (hip vs knee) and specific vendor.
Conclusion: Our results suggest that there is a great deal of consistency in the factors that surgeons state they use to evaluate PPIs such as hip and knee implants. The findings offer an empirically derived definition of PPIs that is consistent with the product and nonproduct strategies pursued by medical device companies. PPIs are products that surgeons rate favorably on the twin dimensions of technology and sales/service.
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http://dx.doi.org/10.2147/MDER.S151647 | DOI Listing |
Curr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
Sports Med Open
January 2025
Department of Mechanical Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, Republic of Korea.
Background: Knee valgus loading is thought to be an important contributor to noncontact anterior cruciate ligament (ACL) injuries, but the effects of training programs focusing on decreasing knee valgus loading on lower extremity biomechanics with respect to ACL injury risk remain unclear. Thus, this study aimed to examine the effect of strength training designed to strengthen the medial thigh muscles on lower extremity joint kinematics, kinetics and muscle activity during single-leg landing.
Methods: A total of 35 healthy participants randomly conducted either exercises targeting medial thigh muscles (intervention group) or exercises that did not target specific lower extremity muscles (control group).
J Funct Morphol Kinesiol
January 2025
Institute of Human Movement Science, Sport and Health, University of Graz, 8010 Graz, Austria.
: Increasing exercise intensity and performance output with superimposed vibration gains interest, especially in high-performance training. However, the additional benefit of vibration in passive stretching exercises and its mechanisms remain unclarified. : Passive stretching with (ST+V) and without (ST) vibration (20 Hz) was performed in male Olympic youth skiing athletes ( = 8, age: 17.
View Article and Find Full Text PDFJAAPA
February 2025
Shawn C. Smith and Garrett M. Snyder practice in orthopedics in Loveland, Colo. The authors have disclosed no potential conflicts of interest, financial or otherwise.
This article reviews practice guidelines, diagnosis, and treatment for synovial chondromatosis, a rare, benign condition that involves the synovium of the joints, most commonly the knee. The condition also can affect the hip, ankle, shoulder, elbow, and temporomandibular joint.
View Article and Find Full Text PDFRadiol Case Rep
March 2025
Clinical Research Development Unit of Akhtar Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran.
Synovial chondromatosis (SC) is a rare, benign joint disorder characterized by cartilaginous nodule formation within the synovial membrane. While SC typically affects larger joints such as the knee and hip, ankle involvement is exceptionally uncommon, with only a few cases documented in medical literature. We present a case of a 38-year-old male who experienced a rare presentation of recurrent ankle sprains and a palpable mass, ultimately diagnosed with SC in the ankle.
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