共查询到8条相似文献,搜索用时 0 毫秒
1.
James F. Malec Flora M. Hammond 《Archives of physical medicine and rehabilitation》2018,99(3):603-606.e1
Objective
To determine the minimal clinically important difference (MCID) for a Rasch measure derived from the Irritability/Lability and Agitation/Aggression subscales of the Neuropsychiatric Inventory (NPI)—the Rasch NPI Irritability and Aggression Scale for Traumatic Brain Injury (NPI-TBI-IA).Design
Distribution-based statistical methods were applied to retrospective data to determine candidates for the MCID. These candidates were evaluated by anchoring the NPI-TBI-IA to Global Impression of Change (GIC) ratings by participants, significant others, and a supervising physician.Setting
Postacute rehabilitation outpatient clinic.Participants
274 cases with observer ratings; 232 cases with self-ratings by participants with moderate-severe TBI at least 6 months postinjury.Interventions
Not applicable.Main Outcome Measure
NPI-TBI-IA.Results
For observer ratings on the NPI-TBI-IA, anchored comparisons found an improvement of 0.5 SD was associated with at least minimal general improvement on GIC by a significant majority (69%–80%); 0.5 SD improvement on participant NPI-TBI-IA self-ratings was also associated with at least minimal improvement on the GIC by a substantial majority (77%–83%). The percentage indicating significant global improvement did not increase markedly on most ratings at higher levels of improvement on the NPI-TBI-IA.Conclusions
A 0.5 SD improvement on the NPI-TBI-IA indicates the MCID for both observer and participant ratings on this measure. 相似文献2.
Scott R. Millis Sarah-Jane Meachen Julie A. Griffen Robin A. Hanks Lisa J. Rapport 《Archives of physical medicine and rehabilitation》2014
Objective
To examine the measurement properties of the Community Integration Measure (CIM) in persons with traumatic brain injury (TBI).Design
Rasch analysis was used to retrospectively evaluate the CIM.Setting
Rehabilitation hospital.Participants
Persons (N=279) 1 to 15 years after a TBI.Interventions
None.Main Outcome Measure
CIM.Results
The CIM met Rasch expectations of unidimensionality and reliability (person separation ratio=2.01, item separation ratio=4.52). However, item endorsibility was poorly targeted to the participants' level of community integration. A ceiling effect was found with this sample.Conclusions
The CIM is a relatively reliable and unidimensional scale. Future iterations might benefit from the addition of items that are more difficult to endorse (ie, improved targeting). 相似文献3.
Sarah Gunn Gerald H. Burgess John Maltby 《Archives of physical medicine and rehabilitation》2018,99(9):1805-1810
Objective
To explore the factor structure of the UK Functional Independence Measure and Functional Assessment Measure (FIM+FAM) among focal and diffuse acquired brain injury patients.Design
Criterion standard.Setting
A National Health Service acute acquired brain injury inpatient rehabilitation hospital.Participants
Referred sample of adults (N=447) admitted for inpatient treatment following an acquired brain injury significant enough to justify intensive inpatient neurorehabilitationIntervention
Not applicable.Outcome Measure
Functional Independence Measure and Functional Assessment Measure.Results
Exploratory factor analysis suggested a 2-factor structure to FIM+FAM scores, among both focal-proximate and diffuse-proximate acquired brain injury aetiologies. Confirmatory factor analysis suggested a 3-factor bifactor structure presented the best fit of the FIM+FAM score data across both aetiologies. However, across both analyses, a convergence was found towards a general factor, demonstrated by high correlations between factors in the exploratory factor analysis, and by a general factor explaining the majority of the variance in scores on confirmatory factor analysis.Conclusions
Our findings suggested that although factors describing specific functional domains can be derived from FIM+FAM item scores, there is a convergence towards a single factor describing overall functioning. This single factor informs the specific group factors (eg, motor, psychosocial, and communication function) after brain injury. Further research into the comparative value of the general and group factors as evaluative/prognostic measures is indicated. 相似文献4.
Sareh Zarshenas Angela Colantonio Susan D. Horn Susan Jaglal Nora Cullen 《Archives of physical medicine and rehabilitation》2019,100(7):1274-1282
ObjectivesTo explore the patterns of cognitive and motor recovery at 4 time points from admission to 9 months after discharge from inpatient rehabilitation (IR) and to investigate the association of therapeutic factors and conditions before and after discharge with long-term outcomes.DesignSecondary analysis of traumatic brain injury (TBI) and practice-based evidence dataset.SettingIR in Ontario, Canada.ParticipantsPatients with TBI consecutively admitted for IR between 2008 and 2011 who had data available from admission to 9 months after discharge (N=85).InterventionsNot applicable.Main Outcome MeasureFIM-Rasch cognitive and motor scores at admission, discharge, 3 months after discharge, and 9 months after discharge.ResultsCognitive and motor recovery showed similar patterns of improvement with recovery up to 3 months but no significant change from 3 to 9 months. Having fewer postdischarge health conditions was associated with better long-term cognitive scores (95% confidence interval, -13.06 to -1.2) and added 9.9% to the explanatory power of the model. More therapy time in complex occupational therapy activities (95% confidence interval, .02 to .09) and fewer postdischarge health conditions (95% confidence interval, -19.5 to -3.8) were significant predictors of better long-term motor function and added 14.3% and 7.2% to the explanatory power of the model, respectively.ConclusionResults of this study inform health care providers about the influence of the timing of IR on cognitive and motor recovery. In addition, it underlines the importance of making patients and families aware of residual health conditions following discharge from IR. 相似文献
5.
Alex W.K. Wong Stephen C.L. Lau Mandy W.M. Fong David Cella Jin-Shei Lai Allen W. Heinemann 《Archives of physical medicine and rehabilitation》2018,99(9):1763-1775
Objective
To determine the extent to which the content of the Quality of Life in Neurological Disorders (Neuro-QoL) covers the International Classification of Functioning, Disability and Health (ICF) Core Sets for multiple sclerosis (MS), stroke, spinal cord injury (SCI), and traumatic brain injury (TBI) using summary linkage indicators.Design
Content analysis by linking content of the Neuro-QoL to corresponding ICF codes of each Core Set for MS, stroke, SCI, and TBI.Setting
Three academic centers.Participants
None.Interventions
None.Main Outcome Measures
Four summary linkage indicators proposed by MacDermid et al were estimated to compare the content coverage between Neuro-QoL and the ICF codes of Core Sets for MS, stroke, MS, and TBI.Results
Neuro-QoL represented 20% to 30% Core Set codes for different conditions in which more codes in Core Sets for MS (29%), stroke (28%), and TBI (28%) were covered than those for SCI in the long-term (20%) and early postacute (19%) contexts. Neuro-QoL represented nearly half of the unique Activity and Participation codes (43%–49%) and less than one third of the unique Body Function codes (12%?32%). It represented fewer Environmental Factors codes (2%?6%) and no Body Structures codes. Absolute linkage indicators found that at least 60% of Neuro-QoL items were linked to Core Set codes (63%?95%), but many items covered the same codes as revealed by unique linkage indicators (7%?13%), suggesting high concept redundancy among items.Conclusions
The Neuro-QoL links more closely to ICF Core Sets for stroke, MS, and TBI than to those for SCI, and primarily covers activity and participation ICF domains. Other instruments are needed to address concepts not measured by the Neuro-QoL when a comprehensive health assessment is needed. 相似文献6.
《Archives of physical medicine and rehabilitation》2019,100(10):1853-1862
ObjectiveTo use Rasch analysis to validate the World Health Organization Quality of Life-BREF (WHOQOL-BREF) and existing short versions in individuals with traumatic brain injury and orthopedic injuries, with comparisons to a general population group.DesignThe Partial Credit Rasch model was applied to evaluate the WHOQOL-BREF as well as shortened versions using a cross-sectional study design.SettingRegional hospital, and national electoral sample in New Zealand.ParticipantsIndividuals with traumatic brain injury (n=74), individuals with orthopedic injuries (n=114), general population (n=140).InterventionsNone.Main Outcome MeasureWHOQOL-BREF.ResultsThe WHOQOL-BREF met expectations of the unidimensional Rasch model and demonstrated good reliability (person separation index [PSI] =0.82) when domain items were combined into physical-psychological, social, and environmental superitems. Analysis of shorter versions, the EUROHIS-QOL-8 and World Health Organization Quality of Life-5 (WHOQOL-5), indicated overall acceptable fit to the Rasch model and evidence of unidimensionality. The EUROHIS-QOL-8 showed good reliability (PSI=0.81); however, reliability of the WHOQOL-5 (PSI=0.68) was below acceptable standards for group comparisons, in addition to demonstrating poor person-item targeting.ConclusionsThe WHOQOL-BREF and the 8-item EUROHIS-QOL-8 version are both reliable and valid in the assessment of quality of life in both injury and general populations. Ordinal-interval conversion tables published for these validated scales as well as for the WHOQOL-5 can be used to improve precision of assessment. The transformation of ordinal scale scores into an interval measure of health-related quality of life also permits the calculation of a single summary score for the WHOQOL-BREF, which will be useful in a wide range of clinical and research contexts. Further validation work of the WHOQOL-5 is needed to ascertain its psychometric properties. 相似文献
7.
Carolyn E. Schwartz Brian Stucky Carly S. Rivers Vanessa K. Noonan Joel A. Finkelstein 《Archives of physical medicine and rehabilitation》2018,99(8):1599-1608.e1
Objective
To investigate response shift effects in spinal cord injury (SCI) over 5 years postinjury.Design
Prospective cohort study observed at 1, 2, and 5 years post-SCI.Setting
Specialized SCI centers.Participants
Sample included 1125, 760, and 219 participants at 1, 2, and 5 years post-SCI (N = 2104). The study sample was 79% men; 39% were motor/sensory complete (mean age, 44.6±18.3y).Interventions
Not applicable.Main Outcome Measures
Patient-reported outcomes included the Medical Outcomes Study 36-Item Short-Form Health Survey version 2 and the Life Satisfaction-11 Questionnaire. Participant latent variable scores were adjusted for (1) potential attrition bias and (2) propensity scores reflecting risk of worse outcomes. The Oort structural equation modeling approach for detecting and accounting for response shift effects was used to test the hypothesis that people with SCI would undergo response shifts over follow-up.Results
The study data comprised the time after FIM scores, an objective measure of motor and cognitive function, had improved and stabilized. Three latent variables (Physical, Mental, and Symptoms) were modeled over time. The response shift model indicated uniform recalibration and reconceptualization response shift effects over time. When adjusted for these response shift effects, Physical showed small true change improvements at 2- and 5-year follow-up, despite FIM stability.Conclusions
We detected recalibration and reconceptualization response shift effects in 1- to 5-year follow-up of people with SCI. Despite stable motor and cognitive function, people with SCI are adapting to their condition. This adaptation reflects a progressive disconnection between symptoms and physical or mental health, and a real improvement in the Physical latent variable. 相似文献8.
《Archives of physical medicine and rehabilitation》2014,95(12):2367-2375
ObjectiveTo describe the development and the initial psychometric evaluation of a mobility measure for inpatient postacute rehabilitation settings—the Mobility Activities Measure for Inpatient Rehabilitation Settings (Mobam-in).DesignSelf-report–based psychometric study.SettingPostacute rehabilitation unit of a public hospital.ParticipantsA consecutive sample of inpatients (N=239) receiving postacute rehabilitation care.InterventionsNot applicable.Main Outcome MeasuresWe developed a 30-item mobility measure, using the Mobility Activities Measure (Mobam) framework, to assess functioning across 5 mobility activity domains classified within the International Classification of Functioning, Disability and Health. These were (1) changing and maintaining body position involving only sitting and/or lying (4 items); (2) changing and maintaining body position involving standing up (6 items); (3) carrying and moving objects using the hand and shoulder (6 items); (4) handling objects using only the hand and/or forearm (7 items); and (5) walking and moving (7 items). Psychometric analyses were conducted to test assumptions underlying the scaling and scoring of Mobam-in scales, and to test both the reliability and validity.ResultsMultitrait scaling and confirmatory factor analyses (with Tucker-Lewis Index median, .99; root mean square error of approximation median, .025) supported the assumption of unidimensionality concerning each domain. Five dimensions appeared to be stable across diverse diagnostic groups (the percentage of items with discriminant validity ranged from 93% to 100%, Cronbach coefficient ranged from .859 to .966). Rasch model (Masters' partial credit) showed that all items could be located along a continuum in each dimension, with goodness-of-fit criteria of infit and outfit mean-square values between 0.6 and 1.4. Test-retest reliability was excellent (intraclass correlation coefficients median, .98). Groups with more severe conditions and lower functional independence scored lower on Mobam-in scales, as hypothesized.ConclusionsMobam-in covers 5 dimensions of mobility activities. The Mobam framework is an effective reference for building outcome instruments. 相似文献