Artificial intelligence (AI) is, in essence, the concept of ‘computer thinking’, encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that both learn and adapt, called complex neural networks. Computer vision is a function of AI by which machine learning and complex neural networks can be applied to enable computers to capture, analyze, and interpret information from clinical images and visual inputs. This annotation summarizes key considerations and future perspectives concerning computer vision, questioning the need for this technology (the ‘why’), the current applications (the ‘what’), and the approach to unlocking its full potential (the ‘how’). Cite this article:
Patient engagement in adaptive health behaviours and interactions with their healthcare ecosystem can be measured using self-reported instruments, such as the Patient Activation Measure (PAM-13) and the Effective Consumer Scale (ECS-17). Few studies have investigated the influence of patient engagement on limitations (patient-reported outcome measures (PROMs)) and patient-reported experience measures (PREMs). First, we assessed whether patient engagement (PAM-13, ECS-17) within two to four weeks of an upper limb fracture was associated with limitations (the Quick Disabilities of the Arm, Shoulder and Hand questionnaire (QuickDASH), and Patient-Reported Outcome Measurement Information System Upper Extremity Physical Function computer adaptive test (PROMIS UE PF) scores) measured six to nine months after fracture, accounting for demographic, clinical, and psychosocial factors. Secondly, we assessed the association between patient engagement and experience (numerical rating scale for satisfaction with care (NRS-C) and satisfaction with services (NRS-S) six to nine months after fracture. A total of 744 adults with an isolated fracture of the proximal humerus, elbow, or distal radius completed PROMs. Due to multicollinearity of patient engagement and psychosocial variables, we generated a single variable combining measures of engagement and psychosocial factors using factor analysis. We then performed multivariable analysis with p < 0.10 on bivariate analysis.Aims
Methods
The purpose of this study was to identify factors associated with limitations in function, measured by patient-reported outcome measures (PROMs), six to nine months after a proximal humeral fracture, from a range of demographic, injury, psychological, and social variables measured within a week and two to four weeks after injury. We enrolled 177 adult patients who sustained an isolated proximal humeral fracture into the study and invited them to complete PROMs at their initial outpatient visit within one week of injury, between two and four weeks, and between six to nine months after injury. There were 128 women and 49 men; the mean age was 66 years (Aims
Patients and Methods
Outcome measures quantifying aspects of health in a precise,
efficient, and user-friendly manner are in demand. Computer adaptive
tests (CATs) may overcome the limitations of established fixed scales
and be more adept at measuring outcomes in trauma. The primary objective
of this review was to gain a comprehensive understanding of the
psychometric properties of CATs compared with fixed-length scales
in the assessment of outcome in patients who have suffered trauma
of the upper limb. Study designs, outcome measures and methodological
quality are defined, along with trends in investigation. A search of multiple electronic databases was undertaken on 1
January 2017 with terms related to “CATs”, “orthopaedics”, “trauma”,
and “anatomical regions”. Studies involving adults suffering trauma
to the upper limb, and undergoing any intervention, were eligible.
Those involving the measurement of outcome with any CATs were included.
Identification, screening, and eligibility were undertaken, followed
by the extraction of data and quality assessment using the Consensus-Based
Standards for the Selection of Health Measurement Instruments (COSMIN) criteria.
The review is reported according to the Preferred Reporting Items
for Systematic Reviews and Meta-Analyses (PRISMA) criteria and reg istered (PROSPERO: CRD42016053886).Aims
Materials and Methods
Revision arthroplasty of the hip is expensive
owing to the increased cost of pre-operative investigations, surgical implants
and instrumentation, protracted hospital stay and drugs. We compared
the costs of performing this surgery for aseptic loosening, dislocation,
deep infection and peri-prosthetic fracture. Clinical, demographic
and economic data were obtained for 305 consecutive revision total
hip replacements in 286 patients performed at a tertiary referral
centre between 1999 and 2008. The mean total costs for revision
surgery in aseptic cases (n = 194) were £11 897 (
Hip arthroscopy is particularly attractive in
children as it confers advantages over arthrotomy or open surgery,
such as shorter recovery time and earlier return to activity. Developments
in surgical technique and arthroscopic instrumentation have enabled
extension of arthroscopy of the hip to this age group. Potential
challenges in paediatric and adolescent hip arthroscopy include
variability in size, normal developmental change from childhood to
adolescence, and conditions specific to children and adolescents
and their various consequences. Treatable disorders include the
sequelae of traumatic and sports-related hip joint injuries, Legg–Calve–Perthes’
disease and slipped capital femoral epiphysis, and the arthritic
and septic hip. Intra-articular abnormalities are rarely isolated and
are often associated with underlying morphological changes. This review presents the current concepts of hip arthroscopy
in the paediatric and adolescent patient, covering clinical assessment
and investigation, indications and results of the experience to
date, as well as technical challenges and future directions.
Non-accidental injury (NAI) in children includes orthopaedic trauma throughout the skeleton. Fractures with soft-tissue injuries constitute the majority of manifestations of physical abuse in children. Fracture and injury patterns vary with age and development, and NAI is intrinsically related to the mobility of the child. No fracture in isolation is pathognomonic of NAI, but specific abuse-related injuries include multiple fractures, particularly at various stages of healing, metaphyseal corner and bucket-handle fractures and fractures of ribs. Isolated or multiple rib fractures, irrespective of location, have the highest specificity for NAI. Other fractures with a high specificity for abuse include those of the scapula, lateral end of the clavicle, vertebrae and complex skull fractures. Injuries caused by NAI constitute a relatively small proportion of childhood fractures. They may be associated with significant physical and psychological morbidity, with wide- ranging effects from deviations in normal developmental progression to death. Orthopaedic surgeons must systematically assess, recognise and act on the indicators for NAI in conjunction with the paediatric multidisciplinary team.
