Advertisement for orthosearch.org.uk
Results 1 - 4 of 4
Results per page:
Orthopaedic Proceedings
Vol. 105-B, Issue SUPP_2 | Pages 37 - 37
10 Feb 2023
McPhee I
Full Access

There are numerous patient satisfaction questionnaires by none specific for an Independent Medical Examination (IME). The aim of this study was to develop and evaluate a questionnaire suitable for an IME. The questionnaire (IMESQ) consisted of five process domains (“Interpersonal manner”, “Communication”, “Technical ability”, “Information exchange”, “Time allocation”) and an outcome domain (“Satisfaction”), each with a five-scale Likert response. An 11-point numerical satisfaction scale (NSS) and a 3-point scale question on the “willing to undergo another examination with the doctor if required” were alternative measures of validation. The questionnaire was tested against numerous independent variables. Statistical analysis included Spearman correlation ((r. S. ) between the items in the questionnaire and the total score with the NSS, and “willing to undergo another examination with the doctor if required” with point-biserial correlation (r. pb. ). Internal consistent reliability was tested using split-half correlation coefficient (r. SB. ) and Cronbach's alpha coefficient (α). The construct was subjected to Factor Analysis. The results from 53 respondents were analysed. There was moderate to strong inter-item correlation (r. s. range 0.57 to 0.83, median 0.67, p < 0.01) and good correlation with the NSS (r. s. = 0.79, p < 0.01) and dichotomous question (r. pb. = 0.45, p < 0.01). Five respondents were “neither satisfied or dissatisfied” (Item 6) and 12 recorded “maybe” to further examination. The split-half correlation was strong (r. SB. = 0.76, p < 0.01). There was good internal consistency reliability (α = 0.92). “Interpersonal manner” (ψ = 4.3) was the only item to have an eigenvalue greater than one, accounting to 72% of the variance across the scale. Eigenvector analysis confirmed the questionnaire was unidimentional. The IMESQ is a brief questionnaire to assess satisfaction with an IME. It is validated and has good internal consistency reliability. The five process domains can identify areas of suboptimal performance: useful for a 360° audit


Bone & Joint Open
Vol. 4, Issue 3 | Pages 146 - 157
7 Mar 2023
Camilleri-Brennan J James S McDaid C Adamson J Jones K O'Carroll G Akhter Z Eltayeb M Sharma H

Aims

Chronic osteomyelitis (COM) of the lower limb in adults can be surgically managed by either limb reconstruction or amputation. This scoping review aims to map the outcomes used in studies surgically managing COM in order to aid future development of a core outcome set.

Methods

A total of 11 databases were searched. A subset of studies published between 1 October 2020 and 1 January 2011 from a larger review mapping research on limb reconstruction and limb amputation for the management of lower limb COM were eligible. All outcomes were extracted and recorded verbatim. Outcomes were grouped and categorized as per the revised Williamson and Clarke taxonomy.


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_II | Pages 60 - 60
1 Feb 2012
Kalyan R Hamilton A Nolan P Cooke E Eames N Crone M Marsh D
Full Access

Stable thoracolumbar fracture is a common injury. The factors that determine its outcome are unclear. Aspects of injury severity were analysed for their ability to predict outcome by controlling other outcome-affecting factors (patient's pre-injury health status, legal aspects, associated injuries, etc.). No reliable disc injury severity grading system was available and therefore a new system was developed. A prospective observational study of 44 conservatively treated patients with stable fractures between T11 and L5 was conducted. Bony injury severity was scored based on comminution, apposition and kyphosis parameters. Disc injury severity was scored by the new scale based on variables – Herniation, Indentation, Height decrease and Signal change – seen in MRI. Ten outcome domains (five domains of pain and function each) were assessed at 1 to 2 years from injury. The data was analysed by non-parametric correlation and stepwise-linear regression analysis to assess the predictive value of different variables (patient factors, injury factors and social factor) to outcome. The correlation coefficients between injury severity and outcome were consistently higher with disc injury severity than bony. Disc injury severity showed highest predictive value for both pain (29%) and functional (16%) outcomes, whereas the bony injury severity parameters (kyphosis, etc.) and the posterior ligament injury severity provided no prediction of outcome. According to AO classification, the fractures were A1, A2, A3 and B1; in this spectrum of injuries, the AO classification had no prediction of outcome. The disc injury score also had a good predictive value for final disc degeneration. Disc injury severity should be gauged in advising prognosis and treatment. The new disc injury severity grading system showed good construct validity


Bone & Joint Open
Vol. 2, Issue 7 | Pages 493 - 502
12 Jul 2021
George SZ Yan X Luo S Olson SA Reinke EK Bolognesi MP Horn ME

Aims

Patient-reported outcome measures have become an important part of routine care. The aim of this study was to determine if Patient-Reported Outcomes Measurement Information System (PROMIS) measures can be used to create patient subgroups for individuals seeking orthopaedic care.

Methods

This was a cross-sectional study of patients from Duke University Department of Orthopaedic Surgery clinics (14 ambulatory and four hospital-based). There were two separate cohorts recruited by convenience sampling (i.e. patients were included in the analysis only if they completed PROMIS measures during a new patient visit). Cohort #1 (n = 12,141; December 2017 to December 2018,) included PROMIS short forms for eight domains (Physical Function, Pain Interference, Pain Intensity, Depression, Anxiety, Sleep Quality, Participation in Social Roles, and Fatigue) and Cohort #2 (n = 4,638; January 2019 to August 2019) included PROMIS Computer Adaptive Testing instruments for four domains (Physical Function, Pain Interference, Depression, and Sleep Quality). Cluster analysis (K-means method) empirically derived subgroups and subgroup differences in clinical and sociodemographic factors were identified with one-way analysis of variance.