Automated Author ProfileCaye-Thomasen, Per
Caye-Thomasen, Per
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Falls are the leading cause of injury and premature death among community dwelling elderly but can be prevented through comprehensive balance rehabilitation which ideally targets the patient’s specific needs. In this study, we evaluate the reliability and agreement of six novel clinical measures of different balance domains which applied in a patient-specific balance profile guides exercise prescription in balance rehabilitation. The intra-rater reliability and agreement of the six measures were evaluated on the same day in six different cohorts of elderly with balance disability (n = 65–100). Further, the inter-day intra-rater and inter-rater and test–retest reliability and agreement of the measures and the balance profile were evaluated (n = 100). The intra-day intra-rater reliability and agreement was moderate to excellent (ICC2.1 = 0.525–0.968, with SDC% = 6.5–284.9%) but poor to good for the inter-day conditions (ICC2.1 = 0.123–0.832, with SDC% = 6.6–229.2%). The reliability of classifying the lower domain in the balance profile was fair, with kappa = 0.56 (95%CI 0.36–0.76). Five of the six measures may reliably be applied to measure balance disability and to guide rehabilitation. Implications for rehabilitationBalance disability is the primary reason for accidental falls among elderly but can be prevented through comprehensive individualized balance rehabilitation.Specific Training According to BaLance Evaluation (STABLE) is a novel approach for designing effective balance exercises based on clinical measurements.Five of the six measures are reliable when applied in a patient-specific balance profile to guide rehabilitation following the STABLE approach. Balance disability is the primary reason for accidental falls among elderly but can be prevented through comprehensive individualized balance rehabilitation. Specific Training According to BaLance Evaluation (STABLE) is a novel approach for designing effective balance exercises based on clinical measurements. Five of the six measures are reliable when applied in a patient-specific balance profile to guide rehabilitation following the STABLE approach.
Authors
- Søndergaard, Kasper ;
- Curtis, Derek John ;
- Caye-Thomasen, Per ;
- Juhl, Carsten Bogh
Falls are the leading cause of injury and premature death among community dwelling elderly but can be prevented through comprehensive balance rehabilitation which ideally targets the patient’s specific needs. In this study, we evaluate the reliability and agreement of six novel clinical measures of different balance domains which applied in a patient-specific balance profile guides exercise prescription in balance rehabilitation. The intra-rater reliability and agreement of the six measures were evaluated on the same day in six different cohorts of elderly with balance disability (n = 65–100). Further, the inter-day intra-rater and inter-rater and test–retest reliability and agreement of the measures and the balance profile were evaluated (n = 100). The intra-day intra-rater reliability and agreement was moderate to excellent (ICC2.1 = 0.525–0.968, with SDC% = 6.5–284.9%) but poor to good for the inter-day conditions (ICC2.1 = 0.123–0.832, with SDC% = 6.6–229.2%). The reliability of classifying the lower domain in the balance profile was fair, with kappa = 0.56 (95%CI 0.36–0.76). Five of the six measures may reliably be applied to measure balance disability and to guide rehabilitation. Implications for rehabilitationBalance disability is the primary reason for accidental falls among elderly but can be prevented through comprehensive individualized balance rehabilitation.Specific Training According to BaLance Evaluation (STABLE) is a novel approach for designing effective balance exercises based on clinical measurements.Five of the six measures are reliable when applied in a patient-specific balance profile to guide rehabilitation following the STABLE approach. Balance disability is the primary reason for accidental falls among elderly but can be prevented through comprehensive individualized balance rehabilitation. Specific Training According to BaLance Evaluation (STABLE) is a novel approach for designing effective balance exercises based on clinical measurements. Five of the six measures are reliable when applied in a patient-specific balance profile to guide rehabilitation following the STABLE approach.
Authors
- Søndergaard, Kasper ;
- Curtis, Derek John ;
- Caye-Thomasen, Per ;
- Juhl, Carsten Bogh