2009
DOI: 10.3109/09638280903180171
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Evaluation of single event multilevel surgery and rehabilitation in children and youth with cerebral palsy – A 2-year follow-up study

Abstract: Self-reported walking ability improved after multilevel surgery and intensive rehabilitation. This result was partly supported by lower energy cost and improved HRQOL. Expectations and satisfaction were fulfilled for the majority of children.

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Cited by 26 publications
(35 citation statements)
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“…Patient‐reported outcomes have only recently been introduced in orthopaedic studies in general and SEMLS studies in particular. Recent studies have reported outcomes using the CHQ, 46 the PODCI, 33,47 and/or the Pediatric Quality of Life Inventory (PedsQL) 33,47 …”
Section: Resultsmentioning
confidence: 99%
“…Patient‐reported outcomes have only recently been introduced in orthopaedic studies in general and SEMLS studies in particular. Recent studies have reported outcomes using the CHQ, 46 the PODCI, 33,47 and/or the Pediatric Quality of Life Inventory (PedsQL) 33,47 …”
Section: Resultsmentioning
confidence: 99%
“…Cerebral palsy (CP) is the most common reason for motor impairment in children (Åkerstedt Risto, Ødman, & Øberg, 2010). Conditions which result from spasticity such as scoliosis, hip dysplasia, ankle deformities, and joint contractures are frequented treated by orthopedic procedures (Knaus & Terjesen, 2009; McKearnan, Kieckhefer, Engel, Jensen, Labyak, 2004; Murphy et al 2006).…”
mentioning
confidence: 99%
“…Design type Statistical approach(es) Akerstedt et al 21 (2010) A-B design Angelo 22 (1992) Alternating-treatments design Kruskal-Wallis test Angelo 23 (1993) Alternating-treatments design Barbosa et al 24 (2008) Withdrawal/reversal (A-B-A) design: A-B-C-A Celeration Line (CL) Two-standard deviation band method Beauregard et al 25 (1998) Withdrawal/reversal (A-B-A) design Celeration line Brien et al 26 (2010) Multiple-baseline design Visual analysis of graphed data Statistical analysis using the two-standard deviation band method Analysis of clinical significance Brien et al 27 (2011) A-B design (including follow-up) Autocorrelation coefficient to determine serial dependency Visual inspection: summarizing patterns of data on the basis of trend, level, and variability Two-standard deviation band method Computation of the differences between the mean scores at baseline and the mean scores at intervention and follow-up Chen et al 28 (2007) A-B design (including follow-up) Autocorrelation coefficient to determine serial dependency Two-standard deviation band method Analysis of clinical significance Coker et al 29 (2009) Withdrawal/reversal (A-B-A) design: A-B-A-B Corn et al 30 (2003) A-B design Linear regression models to determine the line of best fit T-values (difference between the slope of the baseline data and the slope of the intervention and intercept between the last baseline value and the first intervention value (effect)) Costigan et al 31…”
Section: Studymentioning
confidence: 99%