A Hospital-Based Initiative for Infant Safe Sleep Practice.

Objectives: To assess whether exposure to an infant safe sleep initiative was associated with maternal report of infant safe sleep practice at home and to identify other predictive factors.

Methods: After linking Pennsylvania data on infant safe sleep initiative implementation at 27 hospitals to birth certificate and Pregnancy Risk Assessment Monitoring System (PRAMS) data from 2017 to 2021, we generated descriptive statistics to compare infant safe sleep practice and other characteristics between respondents exposed to the initiative and all other PRAMS respondents with a hospital birth. Using multivariable logistic regression, we modeled the association between exposure to the initiative and maternal self-report of placing their infant to sleep on their back, on a separate surface, without soft objects, or room sharing without bed sharing.

Rotator Cuff Repair Study Designs Correlate With Revision Shoulder Surgery Rates: A Systematic Review.

Purpose: To identify arthroscopic rotator cuff repair study groups and evaluate if study design or other study characteristics correlate with a repeat ipsilateral shoulder surgery.

Methods: A systematic search of the PubMed, Embase, and Cochrane Library databases was conducted on March 20, 2021, and April 2, 2021. The following search terms were used by 2 different researchers: ((Rotator cuff repair[Title/Abstract]) AND (Revision[Title/Abstract]) NOT (Systematic Review[Title/Abstract]) NOT (arthroplasty[Title/Abstract]).

Navigating the Orthopaedic Maze as a New Patient: A National Mystery Caller Study on Medicaid Coverage and Access to Specialized Surgeons.

Introduction: Medicaid coverage is associated with longer appointment wait times, decreased access to care, and poorer health outcomes compared with private insurance across medical subspecialties. The purpose of this study was to evaluate new patient appointment wait times for subspecialty Orthopaedic care based on insurance type and to identify factors influencing these wait times.

Methods: Orthopaedic physicians were identified using the American Academy of Orthopaedic Surgeons patient-facing database in the fields of Adult Reconstruction, Foot and Ankle, Hand, Sports Medicine, Spine, Pediatric, and General Orthopaedic surgery.

A Novel Machine Learning Model to Predict Revision ACL Reconstruction Failure in the MARS Cohort.

Background: As machine learning becomes increasingly utilized in orthopaedic clinical research, the application of machine learning methodology to cohort data from the Multicenter ACL Revision Study (MARS) presents a valuable opportunity to translate data into patient-specific insights.

Purpose: To apply novel machine learning methodology to MARS cohort data to determine a predictive model of revision anterior cruciate ligament reconstruction (rACLR) graft failure and features most predictive of failure.

Study Design: Cohort study; Level of evidence, 3.

Surgical Predictors of Clinical Outcome 6 Years After Revision ACL Reconstruction.

Background: Revision anterior cruciate ligament (ACL) reconstruction has been documented to have inferior outcomes compared with primary ACL reconstruction. The reasons why remain unknown.

Purpose: To determine whether surgical factors performed at the time of revision ACL reconstruction can influence a patient's outcome at 6-year follow-up.