Performance indicators are increasingly used to evaluate the quality of healthcare provided to patients with a hip fracture. The aim of this review was to map the variety of performance indicators used around the world and how they are defined. We present a mixed methods systematic review of literature on the use of performance indicators in hip fracture care. Evidence was searched through 12 electronic databases and other sources. A Mixed Methods Appraisal Tool was used to assess methodological quality of studies meeting the inclusion criteria. A protocol for a suite of related systematic reviews was registered at PROSPERO (CRD42023417515).Aims
Methods
The Peri-Implant and PeriProsthetic Survival AnalysiS (PIPPAS) study aimed to investigate the risk factors for one-year mortality of femoral peri-implant fractures (FPIFs). This prospective, multicentre, observational study involved 440 FPIF patients with a minimum one-year follow-up. Data on demographics, clinical features, fracture characteristics, management, and mortality rates were collected and analyzed using both univariate and multivariate analyses. FPIF patients were elderly (median age 87 years (IQR 81 to 92)), mostly female (82.5%, n = 363), and frail: median clinical frailty scale 6 (IQR 4 to 7), median Pfeiffer 4 (1 to 7), median age-adjusted Charlson Comorbidity Index (CCI) 6 (IQR 5 to 7), and 58.9% (n = 250) were American Society of Anesthesiologists grade III.Aims
Methods
To identify factors influencing clinicians’ decisions to undertake a nonoperative hip fracture management approach among older people, and to determine whether there is global heterogeneity regarding these factors between clinicians from high-income countries (HIC) and low- and middle-income countries (LMIC). A SurveyMonkey questionnaire was electronically distributed to clinicians around the world through the Fragility Fracture Network (FFN)’s Perioperative Special Interest Group and clinicians’ personal networks between 24 May and 25 July 2021. Analyses were performed using Excel and STATA v16.0. Between-group differences were determined using independent-samples Aims
Methods
