scholarly journals Correlation Between the PROMIS Pediatric Mobility Instrument and the Hospital for Special Surgery Pediatric Functional Activity Brief Scale (HSS Pedi-FABS)

2019 ◽  
Vol 16 (S2) ◽  
pp. 311-315
Author(s):  
Joshua Adjei ◽  
Jonathan M. Schachne ◽  
Daniel W. Green ◽  
Peter D. Fabricant
2020 ◽  
Vol 72 (4) ◽  
pp. 348-354
Author(s):  
Michael J. Del Bel ◽  
Laryssa G. Kemp ◽  
Céline I. Girard ◽  
Julie Rossignol ◽  
Sébastien F. Goulet ◽  
...  

2013 ◽  
Vol 472 (5) ◽  
pp. 1610-1616 ◽  
Author(s):  
Peter D. Fabricant ◽  
Alex Robles ◽  
Son H. McLaren ◽  
Robert G. Marx ◽  
Roger F. Widmann ◽  
...  

2020 ◽  
Vol 8 (4_suppl3) ◽  
pp. 2325967120S0019
Author(s):  
Niv Marom ◽  
William Xiang ◽  
Madison R. Heath ◽  
Caroline Boyle ◽  
Peter D. Fabricant ◽  
...  

Background: The Marx Activity Rating Scale (MARS) and the Hospital for Special Surgery Pediatric Functional Activity Brief Scale (HSS Pedi-FABS) are both validated activity scales. While the MARS examines greatest physical activity level within the last year, the HSS Pedi-FABS assesses the greatest level of physical activity within the last month. Purpose: To determine whether the different time frames used in MARS and HSS Pedi-FABS affect scores on common items in both scales, and if so, to determine whether age or injury status affect this difference. Methods: The MARS and 4 analogous items on the HSS Pedi-FABS were administered sequentially in random order to patients being evaluated at two sports surgeons’ clinic for knee injuries in addition to their healthy companions in order to enroll an uninjured comparison group. Responses to each question were scored from 0-4 for a maximum overall score of 16. Participant demographics were also recorded. Paired and independent sample t-tests were used to determine mean differences between the two scales and between healthy and injured adults and children, respectively. Results: The final cohort included 88 participants of which 47% were children (ages 10-17) and 51% had a knee injury. All participants except for healthy adults scored significantly lower on the HSS Pedi-FABS than the MARS (p < 0.05, Table 1). On the HSS Pedi-FABS activity scale, healthy participants scored significantly higher than injured participants (p<0.01), but there were no significant differences based on age, Figure 1A. Conversely, on the MARS scale, children scored higher than adults (p≤0.001), but there were no significant differences based on injury, Figure 1B. Conclusion: Physical activity level is significantly different when evaluated by either MARS or its analogue portion of HSS Pedi-FABS. Because the only difference between the scales is the timeframe, the lower scores on the Pedi-FABS than the MARS are likely due to seasonal changes in activity which are not captured in the MARS. Because the Pedi-FABS analyzes a shorter window, it is more likely to capture acute changes in physical activity due to a recent injury than the MARS scale while the MARS scale is better suited for examining general physical activity unaffected by seasonality. Understating the differences between these scales can guide clinicians in using them appropriately when evaluating patient activity level. Tables: [Table: see text] Figures: [Figure: see text]


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Martijn Dietvorst ◽  
Tessa M. van de Kerkhof ◽  
Rob P. A. Janssen ◽  
Linda E. van den Berg ◽  
M. C. van der Steen

Abstract Background There is a need for a validated simple Dutch paediatric activity scale. The purpose was to translate and transculturally validate the Dutch Hospital for Special Surgery Paediatric Functional Activity Brief Scale (HSS Pedi-FABS) questionnaire in healthy children and adolescents. Methods The original HSS Pedi-FABS was translated forward and backward and was transculturally adapted after performing a pilot study among children and professionals. The final version of the Dutch HSS Pedi-FABS was validated in healthy children and adolescents aged 10 to 18 years old. Children who had any condition or injury limiting their normal physical activity were excluded. The interval between the first questionnaire T0 (HSS Pedi-FABS, Physical Activity Questionnaire for children or adolescents (PAQ-C/A) and Tegner activity scale) and the second questionnaire T1 (HSS Pedi-FABS) was 2 weeks. Construct validity, interpretability and reliability were evaluated. Content validity was evaluated through cognitive interviews among a smaller group of children and through a questionnaire among professionals. Results To evaluate content validity, 9 children and adolescents were interviewed, and 30 professionals were consulted. Content validity among professionals showed a relevance of less than 85% for most items on construct. However, content validity among children was good with a 92% score for item relevance. Readability was scored at a reading level of 11- to 12-year-olds. The validation group consisted of 110 healthy children and adolescents (mean age of 13.9 years ±2.6). Construct validity was considered good as 8 out of 10 hypotheses were confirmed. The Dutch HSS Pedi-FABS showed no floor or ceiling effect. Analysis of the internal consistency in the validation group resulted in a Cronbach’s alpha of 0.82. Test-retest reliability was evaluated among 69 children and adolescents and revealed an Intraclass Correlation Coefficient (ICC) of 0.76. Conclusion The Dutch HSS Pedi-FABS showed good psychometric properties in a healthy Dutch paediatric and adolescent population. Limitations of the current Dutch HSS Pedi-FABS are content validity on construct of items reported by professionals.


2020 ◽  
Vol 48 (4) ◽  
pp. 985-990 ◽  
Author(s):  
K. John Wagner ◽  
Meagan J. Sabatino ◽  
Aaron J. Zynda ◽  
Catherine V. Gans ◽  
Jane S. Chung ◽  
...  

Background: In young athletes, patient-reported activity level is frequently used to determine return to the same level of sport after treatment. Purpose: To evaluate the validity and score distributions of the Hospital for Special Surgery Pediatric Functional Activity Brief Scale (HSS Pedi-FABS) compared with the Tegner Activity Level Scale (Tegner) in pediatric athletes. Study Design: Cohort study (Diagnosis); Level of evidence, 2. Methods: A retrospective review of 517 consecutive youth athletes who came to a sports medicine specialty clinic for a knee evaluation was performed. Patients completed the HSS Pedi-FABS, Tegner, and a sports participation survey before evaluation. Scores were compared with reported hours, days, and weeks of participation in sports as well as level of competition. Floor or ceiling effects were identified, and finally, the means and distributions of scores in the 8 most common primary sports were analyzed. Results: A total of 398 participants (54.0% female) with an average age of 14.5 years (range, 10.0-18.8 years) were included in the study. The HSS Pedi-FABS demonstrated correlations with hours per week ( r = 0.302; P < .001), days per week ( r = 0.278; P < .001), and weeks per year ( r = 0.136; P = .014) playing a primary sport. The Tegner only demonstrated a correlation with days per week ( r = 0.211; P = .001). Additionally, club/select-level athletes scored higher than junior high/high school–level athletes on the HSS Pedi-FABS (23.8 vs 21.0; P = .004), but no difference was observed with the Tegner. No floor or ceiling effect was observed for the HSS Pedi-FABS, but a ceiling effect was present for the Tegner (32.8%). The HSS Pedi-FABS demonstrated a varied score distribution between the 8 most common primary sports ( P < .001), with soccer players scoring the highest, on average (23.5). Conclusion: The HSS Pedi-FABS, compared with the Tegner, demonstrated more correlations with an athlete’s participation in sport with no floor or ceiling effect and had a wide distribution of scores even among same-sport athletes. The HSS Pedi-FABS may be a more valuable activity measure than the Tegner in pediatric athletes.


2018 ◽  
Vol 46 (5) ◽  
pp. 1228-1234 ◽  
Author(s):  
Peter D. Fabricant ◽  
Joash R. Suryavanshi ◽  
Jacob G. Calcei ◽  
Robert G. Marx ◽  
Roger F. Widmann ◽  
...  

Background: Recent data have shown an increase in youth sports participation at younger ages, which may be linked to greater musculoskeletal injury risk. The Hospital for Special Surgery Pediatric Functional Activity Brief Scale (HSS Pedi-FABS) is a validated 8-item instrument designed to quantify the activity of children between 10 and 18 years old. Normative data on pediatric and adolescent activity level are unknown. Purpose: To establish normative activity-level data for American youth and to determine if there is a natural decrease in activity level during adolescence. Study Design: Cross-sectional study; Level of evidence, 3. Methods: A cross-sectional investigation was performed among 2002 US children and adolescents equally split by sex and age and representing census-weighted distributions of state of residency, race/ethnicity, and health insurance status. Respondents completed the HSS Pedi-FABS, as well as survey questions on demographics and sports participation. Normative data were reported with descriptive statistics. Linear regression analysis was performed to determine if there was an effect of age on activity level during adolescence. Results: A total of 2002 respondents completed the survey; the mean age of the respondents at the time of survey completion was 14.0 ± 2.6 years. Mean weekly amount of reported physical activity was 9.3 ± 8.4 hours. HSS Pedi-FABS scores were normally distributed with a mean of 15.4 ± 8.5 points (out of 30 possible points). There was a modest but statistically significant decrease in HSS Pedi-FABS activity scores with increasing age ( r = −0.175, P < .001), corresponding to a linear decrease in activity scores by 27% on average from age 10 to 18 years. Conclusion: The current study provides baseline normative data for activity level in a census-weighted representative population sample of 2002 American youth through the use of a validated activity score (HSS Pedi-FABS). There was a modest but statistically significant decrease in activity scores with increasing age. These results will aid future research by providing normative, representative population-level activity data and will help to quantify the natural rate of decreased activity during adolescence.


2021 ◽  
Author(s):  
Adrian Rodrigues ◽  
Jonathan S. Yu ◽  
Hriday Bhambhvani ◽  
Tyler Uppstrom ◽  
William Ricci ◽  
...  

BACKGROUND The coronavirus disease 2019 (COVID-19) heralded an unprecedented increase in telemedicine utilization. OBJECTIVE Assess patient satisfaction with telemedicine during COVID-19 METHODS Telemedicine visit data were gathered from two separate institutions (Stanford Health Care (Stanford) and the Hospital for Special Surgery (HSS)). Patient satisfaction data from HSS were captured from a Press-Ganey questionnaire between April 19, 2020 and December 12, 2020, while the Stanford data was taken from a novel survey instrument that was distributed to all patients between June 22, 2020 and November 1, 2020. There were 60,550 telemedicine visits across 93 services at Stanford, each linked with a post-visit survey. At HSS, there were 66,349 total telemedicine visits with 7,348 randomly linked with a post-visit survey. The percentage of respondents who reported the highest possible likelihood to recommend score (“LTR top box percentage”) and mean overall visit scores were recorded. RESULTS Over 19 weeks, the LTR top box percentage at Stanford increased from 69.6% to 74.0% (p=.0002), and HSS showed no significant change across 35 weeks (p=.7100). LTR trend stability at Stanford was observed across 11 medical, four surgical, and five oncological services (p >.05). In the multivariable model, the use of a cell phone (aOR: 1.18; 95% CI: 1.12–1.23) and tablet (aOR: 1.15; 95% CI: 1.07–1.23) were associated with higher overall scores, while visits with interrupted connections (aOR: 0.49; 95% CI: 0.42–0.57) or help required to connect (aOR: 0.49; 95% CI: 0.42–0.56) predicted lower patient satisfaction. CONCLUSIONS We present the largest published description of patient satisfaction with telemedicine. We found high satisfaction with telemedicine encounters across multiple measures, and we identified a number of important telemedicine-specific factors that predict increased overall visit score. These include the use of cell phones or tablets, phone reminders, and connecting before the visit was scheduled to begin. Visits with poor connectivity, extended wait times, or difficulty being seen, examined, or understood by the provider were linked with reduced odds of high scores. Our results suggest that attention to connectivity and audio/visual definition will help optimize patient satisfaction with telemedicine encounters in the future. CLINICALTRIAL n/a


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