Despite a call to incorporate patient-reported outcome measures (PROMs) into all aspects of health care, little is known about which instruments are best suited for a pediatric patient population with sport-related injury. The objective of this article was to perform a systematic review of the currently available evidence to determine which PROMs were used for pediatric patients with sport-related injuries and identify the associated psychometric properties and considerations for clinical utility. We conducted a literature search for articles on PROMs used in the pediatric population through electronic databases and a manual search of reference lists and authors between from inception to 2020. Articles were grouped based on the PROM(s) included, and considerations for clinical utility and psychometric properties were extracted from each article. Thirty-nine articles were included in this review, from which 22 PROMs were identified: 12 PROMs were developed specifically for the pediatric population, 4 were modified versions of an adult scale, and 6 were adult measures used in a pediatric population. Of the PROMs included in this review, the Oxford Ankle Foot Questionnaire for Children and the Pediatric Quality of Life Inventory were the most comprehensive in their development and assessment. Several outcome measures used for pediatric patients had missing or inadequate measurement properties and considerations for clinical utility, particularly in regard to readability, responsiveness, and interpretability. Clinicians and researchers should consider a measure's feasibility, acceptability, appropriateness, and psychometric properties when selecting a PROM for use with the pediatric population.

Participation in pediatric (ie, youth and adolescent) athletics is thriving. In 2019, over 46 million children between the ages of 6 and 18 years regularly participated in organized athletics,1  more than double the total population of Florida.2  In fact, in 2020 (before the COVID-19 pandemic), children in 40% of families played their primary sport at least 4 days per week.1  Due to these levels of participation, sport has been deemed the leading cause of injury in youths and adolescents.3,4  An estimated 35 injuries occur for every 100 participants each year,5,6  and up to 40% of pediatric athletes quit sports due to injury.7  Although athletic injuries are thought to primarily affect physical functioning, previous investigators810  indicated that athletes reported deficits in emotional and mental health functioning after injury. Because of these deficits, athletic trainers (ATs) have been encouraged to view athletes from a whole-person perspective11,12  and assess patient outcomes to better understand how injuries affect patients from their own viewpoints.13,14 

To capture the patient's perspective, efforts have been made to encourage the use of patient-reported outcome measures (PROMs), which are self-report measures that assess different health domains related to health-related quality of life (HRQOL), different levels of disablement,13  or both. Thus, the use of PROMs helps clinicians provide patient-centered care as opposed to only focusing on disease-oriented outcomes (eg, range of motion, strength, edema).13  Further, when used effectively, patient outcomes provide a systematic approach to incorporating patient values and needs into patient care. Despite the importance of PROMs in providing patient-centered care, they remain underused by ATs, physical therapists, and other clinicians.15,16 

Barriers to the implementation of PROMs into patient care have been documented in athletic training.15  For example, the process of selecting a PROM for use can be challenging for practicing clinicians due to the time needed to evaluate the available PROMs and the technical knowledge needed to critically review each instrument. This process is further complicated when the population consists of pediatric patients.17  For instance, pediatric patients, with different cognitive abilities, often have difficulty with the readability,18  comprehensibility,19  and appropriateness19,20  of PROMs initially developed for adults. Therefore, clinicians and researchers should select instruments that have been evaluated in a youth or adolescent population, are appropriate for the condition or injury being managed, and have demonstrated suitable psychometric properties to ensure that the data are reliable and valid.

Recently, Lam et al21  reviewed and evaluated PROMs that are commonly used in athletic training to provide clinicians and researchers with information in support of the selection process. In that review, only 1 PROM was specifically designed for use in the pediatric patient population. With many ATs providing care to pediatric patients, a similar review and evaluation of PROMs for pediatric patients may be helpful to ATs. Thus, the purpose of our study was to review the literature to (1) determine which PROMs were being used for youth or adolescent patients with sport-related injuries, (2) identify the associated psychometric properties and considerations for clinical utility, and (3) determine the health domains and levels of disablement assessed by each PROM.

Data Sources

We conducted a computerized search of CINAHL, EBSCO, SPORTDiscus, and PubMed from inception to 2020 using the terms (sport-related OR sport OR athletic OR orthopedic OR orthopaedic) AND (youth OR adolescent OR child OR pediatric) AND (patient reported outcome OR patient rated outcome OR patient oriented outcome OR patient centered outcome) AND (instrument OR measure OR scale OR tool) for peer-reviewed articles. In addition to the computerized search, we contributed relevant articles and performed a manual search of reference lists and authors in the articles screened for inclusion to find relevant articles not identified in the initial search.

Study Selection

Duplicate articles were removed, and a 2-step process was used to identify relevant articles for this study (Figure 1). The titles and abstracts of all articles were screened by each author independently, using the inclusion and exclusion criteria. After the screening, a meeting was held to discuss articles that lacked consensus. We reviewed the full text of the remaining articles and met again to discuss any articles that did not receive a consensus.

Figure 1

Search strategy and selection process.

Figure 1

Search strategy and selection process.

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Articles were included if they (1) were original research, (2) were written in English, (3) incorporated a PROM for sport-related injuries, and (4) involved participants ≤18 years of age. Studies were excluded if (1) the authors incorporated parent-generated responses or proxy reports on PROMs, (2) the authors focused on conditions outside of sport-related or orthopaedic injury, or (3) they were editorials, commentaries, case studies, guidelines, conference proceedings, or review articles. If the research involved participants <18 years old or proxy reports and we could feasibly separate the data and psychometrics of the instrument for the pediatric population, the study was included.

Data Extraction

Articles were grouped according to the PROM(s) used, and instruments were then organized based on the region of focus: upper extremity, lower extremity, generic, single item, or activity. Considerations for clinical utility extracted from articles were acceptability (number of items, score range, time to complete, and readability; Table 1), feasibility (recall period, response format, grading, time to score, and anticipated costs; Table 2), and appropriateness (intended patient population and demonstrated use; Table 3).

Table 1

Considerations for Clinical Utility: Acceptability

Considerations for Clinical Utility: Acceptability
Considerations for Clinical Utility: Acceptability
Table 2

Considerations for Clinical Utility: Feasibility

Considerations for Clinical Utility: Feasibility
Considerations for Clinical Utility: Feasibility
Table 3

Considerations for Clinical Utility: Appropriateness

Considerations for Clinical Utility: Appropriateness
Considerations for Clinical Utility: Appropriateness

Readability, including both the Flesch-Kincaid Reading Ease and Reading Grade Level formulas, was calculated for the unformatted text of each instrument using Word for Mac software (version 16.15; Microsoft Corp). Health-related quality of life is a global multidimensional concept that references an individual's unique life experiences and values and how they ultimately affect health and can be summarized through health domains and International Classification of Functioning (ICF) disablement levels.11  Health domains (ie, physiological, physical, psychological, spiritual, social, economic) and ICF disablement levels (ie, body structure and function, activity, participation, environmental, personal) were determined based on a consensus method,11  in which researchers with expertise in clinical outcomes assessment independently reviewed and rated each question in the included instruments to determine the primary health domain11  and disablement level.22  A more detailed description of these domains and disablement levels can be found in a previous investigation.11  After the independent review, we convened to compare our individual ratings and agree on the final classification (Table 3).

Psychometric properties extracted from the articles were reliability (internal consistency, test-retest, interrater, intrarater), validity (face, criterion, construct, content, concurrent, discriminant, convergent or divergent), floor and ceiling effects (using a 15% threshold), responsiveness (effect size, minimal detectable change, standard error of measurement), interpretability (minimal clinically important difference, minimal important difference), and precision (type of score: binary, adjectival, visual analogue scale; Table 4).

Table 4

Psychometric Properties Continued on Next Page

Psychometric Properties Continued on Next Page
Psychometric Properties Continued on Next Page

The literature search resulted in 332 potential articles (Figure 1). After identifying and removing 94 duplicates, we screened the remaining 238 articles according to the inclusion and exclusion criteria. After the title and abstract review, 116 articles were removed, resulting in 122 articles for full-text review. We eliminated another 83 articles once the exclusion criteria were applied to the full text, leaving 39 articles (11.8%; Table 5) from which data were extracted and synthesized in the results. Among these 39 articles, a total of 22 PROMs were identified. Considerations for clinical utility are reported in Tables 13 and psychometric properties of each instrument in Table 4.

Table 5

Characteristics of Included Studies Continued on Next Page

Characteristics of Included Studies Continued on Next Page
Characteristics of Included Studies Continued on Next Page

Four PROMs were identified for use with upper extremity conditions2328  and 5 for lower extremity conditions.19,20,2939  In addition, 4 generic,25,27,28,36,37,4050  4 single-item,23,26,42  and 5 activity-based18,31,5157  instruments were identified. Twelve of the PROMs were developed specifically for the pediatric population,18,23,25,27,28,3137,4053,5558  3 were modified versions of an adult scale,20,2329,31,3639  and 7 were adult measures used in a pediatric population18,23,26,2931,3638,42,54  (Figure 2).

Figure 2

Patient-reported outcome measures organized by type. [Number of studies]

Figure 2

Patient-reported outcome measures organized by type. [Number of studies]

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Despite a call to incorporate PROMs into all aspects of health care,59,60  little is known about which measures are best suited for a pediatric patient population with sport-related injuries. Instruments are typically developed for specific patient populations, which can be problematic if clinicians and researchers expand their use beyond the originally intended group. Selecting and implementing PROMs that are suitable for youth and adolescents is challenging, and not all measures reflect the unique demands of this population.17,19,20  Although the authors of a recent systematic review61  investigated the psychometric properties of PROMs used in the pediatric population, they did not report the specific psychometric findings, nor did they include several critical considerations related to the clinical utility of the measures (eg, readability, health domains, ICF disablement levels). To the best of our knowledge, we are the first to review the literature and assemble a repository of PROMs that are used by sports medicine health care professionals for pediatric patients, along with these associated variables. Our findings will help guide both clinicians and researchers in using PROMs in pediatric sports medicine.

The current standards for the development of a PROM, established by the Scientific Advisory Committee of the Medical Outcomes Trust,62  consist of the following attributes: (a) the conceptual and measurement model, (b) reliability, (c) validity, (d) responsiveness, (e) interpretability, (f) the respondent and administrative burden, (g) alternative forms, and (h) cultural and language adaptation translations. Clinicians and researchers should consider these psychometric values when selecting an instrument, as adequate measurement properties of a PROM are essential to ensuring the integrity of an instrument and enabling the administrator to trust the quality of the information provided. In those instruments with reports of various types of validity (81.8%, 18/22 instruments) or reliability (72.7%, 16/22 instruments), the measurement qualities were sufficient (Table 4). For instance, the Activities Scale for Kids (ASK) demonstrated the highest value for test-retest reliability (intraclass correlation coefficient = 0.97),51  whereas the Multidimensional Fatigue Scale produced the highest value for internal consistency (Cronbach α = 0.95).58  Additionally, the presence of floor or ceiling effects helps to determine how an instrument will perform in populations with broad ranges of function, those that experience extreme limits on function, or both. Floor or ceiling effects were not provided for 54.5% (12/22 instruments) of the PROMs (Table 4); however, a floor effect was observed for the Micheli Functional Scale32  and a ceiling effect for the Marx Activity Scale.18  Most instruments lacked estimates of responsiveness (72.7%, 16/22 instruments) or interpretability (90.9%, 20/22 instruments; Table 4), which potentially limits our confidence in their ability to accurately measure change. Incorporating instruments into patient care without considering the associated psychometric properties can result in adverse consequences, including an increased burden on the patient, missing or unreliable data, or biased results.63 

Clinicians working with a pediatric population also need to choose PROMs that are age appropriate. The intended patient population for each of these instruments varies from children as young as 2 to 5 years old through adults. Readability formulae offer some indication of how easily a document is understood, and health literacy experts recommend that the maximum US reading grade level for a PROM used in a youth or adolescent population should be fifth to sixth grade.64,65  Nonetheless, 40.9% (9/22) of the instruments assessed in this review exceed that threshold (Table 1). Interestingly, 3 of the PROMs that exceed the threshold were specifically developed for the pediatric population: the Micheli Functional Scale,32  the Oxford Ankle Foot Questionnaire for Children (OxAFQ-C),3335  and the Hospital for Special Surgery Pediatric Functional Activity Brief Scale.18,31,52,53  This is significant because if a patient is unable to understand the instrument, the other psychometric properties of the tool, such as validity and reliability, are assumed to be negatively affected.66 

Five of the 22 identified PROMs (22.7%) have acceptable measurement properties and readability levels (Tables 1 and 4). These instruments are the Youth Throwing Scale, Knee Injury and Osteoarthritis Outcome Score for Children (KOOS-Child), Pediatric International Knee Documentation Committee Subjective Knee Evaluation Form (Pedi-IKDC), Pediatric Quality of Life Inventory (PedsQL), and ASK. Each of these measures has reported acceptable reliability, validity, and responsiveness and meets the fifth- to sixth-grade readability threshold. However, we also need to balance these psychometric properties with practical considerations.

One factor in determining an instrument's clinical utility is the feasibility of administering the measure. Of the PROMs identified, none require clinician training, all are easy to administer, and each has a relatively quick time to completion (≤20 minutes; Table 2). Only the Child Health Questionnaire (CHQ)36,37  requires a license, and both the CHQ36,37  and Pediatric Outcomes Data Collection Instrument (PODCI)27,49,50  were identified as long assessments (87 and 83 items, respectively). Several of the PROMs had identified recall periods (31.8%, 7/22 instruments), most of which lasted about a week. These findings provide a perspective on how often an instrument should be administered and should correspond with the purpose of the assessment. When choosing a PROM, clinicians and researchers should consider the length of the instrument as well as the documented recall period in order to match their patient care goals.

Estimating HRQOL helps to integrate the patient's perspective into health care and is an important component in delivering effective, whole-person, patient-centered care. Health-related quality of life is a multifaceted concept comprising several health domains; however, PROMs may assess only 1 or a few aspects.63  In our review, nearly all of the PROMs included questions that addressed the physical health domain (90.9%, 20/22 instruments); most, the physiological domain (63.6%, 14/22 instruments); and a few, the social domain (36.4%, 8/22 instruments; Table 3). Regarding the ICF disablement levels, each PROM addressed either the body, structure and function level or the activity and participation level. Only 1 measure had questions related to environmental and personal factors (OxAFQ-C). Health-related quality of life is an important concept, as any of its constructs may be affected by a sport-related injury or health condition. Therefore, to provide patient-centered care, it is essential for clinicians and researchers to know which components are evaluated by the instruments of interest so that the PROM selected fulfills its intended purpose.63 

This systematic review was not without limitations. First, we chose not to include parent or proxy PROMs. Although these options may be appropriate to use in youth athletes, our intent was to focus specifically on identifying self-report instruments, as having patients assess their own HRQOL has been recommended.67,68  Additionally, we did not include foreign-language translations of pediatric instruments; however, we did note if the included PROMs had additional versions available. Finally, we supplied the level of evidence for each included study (Table 1) but did not analyze the methodologic quality due to the varied study designs. Future researchers should address the gaps in the literature and continue to evaluate the psychometric properties and clinical utility of the PROMs identified in this systematic review. Furthermore, we observed that few PROMs address the spiritual, social, and economic health domains and the environmental and personal ICF disablement levels. Investigators should consider these areas when developing future PROMs for the pediatric sports medicine population.

In this systematic review, we provide insight into the PROMs used by athletic health care providers for pediatric patients with sport-related injuries. The measures identified are the most comprehensive in their development and generally have appropriate psychometric properties; however, most of the instruments require further evaluation. For example, reporting of interpretability and responsiveness is lacking, which may make it difficult to assess change over time. Most of the measures were short in length and feasible to administer; the recall period, readability, and areas of HRQOL the instruments measured varied. Furthermore, evidence indicates that adolescent athletes may be their own patient population44  and may require PROMs developed specifically for them. Considering the acceptability, feasibility, appropriateness, and psychometric qualities, the OxAFQ-C and the PedsQL had the greatest number of items assessed and reported in the literature. Although a variety of instruments are presently used in pediatric sports medicine, clinicians and researchers should select a PROM that has appropriate psychometric evidence and meets both their goals and the goals of the patient.

1. 
State of play 2020
.
Project Play. Aspen Institute. Published 2020. Accessed October 20, 2020.
2. 
Annual estimates of the resident population: April 1, 2010 to July 1, 2019
.
United States Census Bureau. Published 2019. Accessed October 1, 2020.
3. 
Bienefeld
M,
Pickett
W,
Carr
P.
A descriptive study of childhood injuries in Kingston, Ontario, using data from computerized injury surveillance system
.
Chronic Dis Can
.
1996
;
17
(1)
:
21
27
.
4. 
King
MA,
Pickett
W,
King
AJ.
A secondary analysis of the 1993–94 health and behavior in school-aged children survey
.
Can J Public Health
.
1998
;
89
(6)
:
397
401
.
5. 
Emery
CA,
Meeuwisse
WH,
McAllister
JR.
Survey of sport participation and sport injury in Calgary and area high schools
.
Clin J Sport Med
.
2006
;
16
(1)
:
20
26
.
6. 
Emery
C,
Tyreman
H.
Sport participation, sport injury, risk factors and sport safety practices in Calgary and area junior high schools
.
Paediatr Child Health
.
2009
;
14
(7)
:
439
444
.
7. 
Crane
J,
Temple
V.
A systematic review of dropout from organized sport among children and youth
.
Eur Phys Educ Rev
.
2015
;
21
(1)
:
114
131
.
8. 
McGuine
TA,
Winterstein
AP,
Carr
K,
Hetzel
S.
Changes in health-related quality of life and knee function after knee injury in young female athletes
.
Orthop J Sports Med
.
2014
;
2
(4)
:
2325967114530988
.
9. 
Lam
KC,
St Thomas
S,
Snyder Valier AR, Valovich McLeod TC, Bay RC. Previous knee injury and health-related quality of life in collegiate athletes
.
J Athl Train
.
2017
;
52
(6)
:
534
540
.
10. 
Marshall
AN,
Snyder Valier AR, Yanda A, Lam KC. The impact of a previous ankle injury on current health-related quality of life in college athletes
.
J Sport Rehabil
.
2020
;
29
(1)
:
43
50
.
11. 
Snyder Valier AR, Welch Bacon CE, Lam KC. Disablement model and health-related quality of life classification for Patient-Reported Outcomes Measurement Information System (PROMIS) instruments.
J Athl Train
.
2018
;
53
(12)
:
1206
1213
.
12. 
ICF disablement model
.
National Athletic Trainers' Association. Published 2020. Accessed December 2, 2021.
13. 
Valovich McLeod TC, Snyder AR, Parsons JT, Bay RC, Michener LA, Sauers EL
.
Using disablement models and clinical outcomes assessment to enable evidence-based athletic training practice, part II: clinical outcomes assessment
.
J Athl Train
.
2008
;
43
(4)
:
437
445
.
14. 
Evans
TA,
Lam
KC.
Clinical outcomes assessment in sport rehabilitation
.
J Sport Rehabil
.
2011
;
20
(1)
:
8
16
.
15. 
Snyder Valier AR, Jennings AL, Parsons JT, Vela LI
.
Benefits of and barriers to using patient-rated outcome measures in athletic training
.
J Athl Train
.
2014
;
49
(5)
:
674
683
.
16. 
Lam
KC,
Harrington
KM,
Cameron
KL,
Snyder Valier AR. Use of patient-reported outcome measures in athletic training: common measures, selection considerations, and practical barriers
.
J Athl Train
.
2019
;
54
(4)
:
449
458
.
17. 
Vitale
MG,
Levy
DE,
Johnson
MG,
et al.
Assessment of quality of life in adolescent patients with orthopaedic problems: are adult measures appropriate?
J Pediatr Orthop
.
2001
;
21
(5)
:
622
628
.
18. 
Fabricant
PD,
Robles
A,
Downey-Zayas
T,
et al.
Development and validation of a pediatric sports activity rating scale: the Hospital for Special Surgery Pediatric Functional Activity Brief Scale
(
Pedi-FABS
HSS
).
Am J Sports Med.
2013
;
41
(10)
:
2421
2429
.
19. 
Iversen
MD,
Lee
B,
Connell
P,
Andersen
J,
Anderson
AF,
Kocher
MS.
Validity and comprehensibility of the International Knee Documentation Committee Subjective Knee Evaluation form in children
.
Scand J Med Sci Sports
.
2010
;
20
(1)
:
e87
e95
.
20. 
Örtqvist
M,
Roos
EM,
Broström
EW,
Janarv
PM,
Iversen
MD.
Development of the Knee Injury and Osteoarthritis Outcome Score for Children (KOOS-Child): comprehensibility and content validity
.
Acta Orthop
.
2012
;
83
(6)
:
666
673
.
21. 
Lam
KC,
Marshall
AN,
Snyder Valier AR. Patient-reported outcome measures in sports medicine: a concise resource for clinicians and researchers
.
J Athl Train
.
2020
;
55
(4)
:
390
408
.
22. 
ICF browser. World Health Organization. Accessed September 8,
2020
.
23. 
Edmonds
EW,
Bastrom
TP,
Roocroft
JH,
Calandra-Young
VA,
Pennock
AT.
The Pediatric/Adolescent Shoulder Survey (PASS): a reliable youth questionnaire with discriminant validity and responsiveness to change
.
Orthop J Sports Med
.
2017
;
5
(3)
:
2325967117698466
.
24. 
Heyworth
B,
Cohen
L,
von Heideken
J,
Kocher
MS,
Iversen
MD.
Validity and comprehensibility of outcome measures in children with shoulder and elbow disorders: creation of a new Pediatric and Adolescent Shoulder and Elbow Survey (Pedi-ASES)
.
J Shoulder Elbow Surg
.
2018
;
27
(7)
:
1162
1171
.
25. 
Ahmad
CS,
Padaki
AS,
Noticewala
MS,
Makhni
EC,
Popkin
CA.
The Youth Throwing Score: validating injury assessment in young baseball players
.
Am J Sports Med
.
2016
;
45
(2)
:
317
324
.
26. 
Eisner
EA,
Roocroft
JH,
Moor
MA,
Edmonds
EW.
Partial rotator cuff tears in adolescents: factors affecting outcomes
.
J Pediatr Orthop
.
2013
;
33
(1)
:
2
7
.
27. 
Ernat
J,
Ho
C,
Wimberly
R,
Jo
CH,
Riccio
AI.
Fracture classification does not predict functional outcomes in supracondylar humerus fractures: a prospective study
.
J Pediatr Orthop
.
2017
;
37
(4)
:
e233
e237
.
28. 
Quatman-Yates
CC,
Gupta
R,
Paterno
MV,
Schmitt
LC,
Quatman
CE,
Ittenbach
RF.
Internal consistency and validity of the QuickDASH instrument for upper extremity injuries in older children
.
J Pediatr Orthop
.
2013
;
33
(8)
:
838
842
.
29. 
Oak
SR,
O'Rourke
C,
Strnad
G,
et al.
Statistical comparison of the pediatric versus adult IKDC subjective knee evaluation form in adolescents
.
Am J Sports Med
.
2015
;
43
(9)
:
2216
2221
.
30. 
Schmitt
LC,
Paterno
MV,
Huang
S.
Validity and internal consistency of the International Knee Documentation Committee Subjective Knee Evaluation form in children and adolescents
.
Am J Sports Med
.
2010
;
38
(10)
:
2443
2447
.
31. 
Iversen
MD,
von Heideken
J,
Farmer
E,
Rihm
J,
Heyworth
BE,
Kocher
MS.
Validity and comprehensibility of physical activity scales for children with sports injuries
.
J Pediatr Orthop
.
2016
;
36
(3)
:
278
283
.
32. 
MacDonald
JP,
d'Hemecourt
PA,
Micheli
LJ.
The reliability and validity of a pediatric back outcome measure
.
Clin J Sports Med
.
2016
;
26
(6)
:
490
496
.
33. 
Morris
C,
Liabo
K,
Wright
P,
Fitzpatrick
R.
Development of the Oxford Ankle Foot Questionnaire: finding out how children are affected by foot and ankle problems
.
Child Care Health Dev
.
2007
;
33
(5)
:
559
568
.
34. 
Morris
C,
Doll
HA,
Wainwright
A,
Theologis
T,
Fitzpatrick
R.
The Oxford Ankle Foot Questionnaire for Children: scaling, reliability and validity
.
J Bone Joint Surg Br
.
2008
;
90
(11)
:
1451
1456
.
35. 
Morris
C,
Doll
H,
Davies
N,
et al.
The Oxford Ankle Foot Questionnaire for Children: responsiveness and longitudinal validity
.
Qual Life Res
.
2009
;
18
(10)
:
1367
1376
.
36. 
Boykin
RE,
McFeely
ED,
Shearer
D,
et al.
Correlation between the Child Health Questionnaire and the International Knee Documentation Committee score in pediatric and adolescent patients with an anterior cruciate ligament tear
.
J Pediatr Orthop
.
2013
;
33
(2)
:
216
220
.
37. 
Kocher
MS,
Smith
JT,
Iversen
MD,
et al.
Reliability, validity, and responsiveness of a modified International Knee Documentation Committee Subjective Knee Form (Pedi-IKDC) in children with knee disorders
.
Am J Sports Med
.
2011
;
39
(5)
:
933
939
.
38. 
Nasreddine
AY,
Connell
PL,
Kalish
LA,
et al.
The Pediatric International Knee Documentation Committee (Pedi-IKDC) Subjective Knee Evaluation Form: normative data
.
Am J Sports Med
.
2017
;
45
(3)
:
527
534
.
39. 
Ortqvist
M,
Iversen
MD,
Janarv
PM,
Broström
EW,
Roos
EM.
Psychometric properties of the Knee injury and Osteoarthritis Outcomes Score for Children (KOOS-Child) in children with knee disorders
.
Br J Sports Med
.
2014
;
48
(19)
:
1437
1446
.
40. 
Houston
MN,
Bay
RC,
Valovich McLeod TC. The relationship between post-injury measures of cognition, balance, symptom reports and health-related quality-of-life in adolescent athletes with concussion
.
Brain Inj
.
2016
;
30
(7)
:
891
898
.
41. 
Snyder Valier AR, Swank EM, Lam KC, Hansen ML, Valovich McLeod TC
.
Comparison of patient and proxy reporting of health-related quality of life in adolescent athletes who suffer a sports-related injury and require orthopaedic consultation
.
J Sport Rehabil
.
2013
;
22
(4)
:
248
253
.
42. 
Valier
AR,
Welch Bacon CE, Bay RC, Houston MN, Valovich McLeod TC. Validity of single-item patient-rated outcomes in adolescent football athletes with concussion
.
Arch Phys Med Rehabil
.
2016
;
97
(7)
:
1202
1205
.
43. 
Bertisch
H,
Rivara
FP,
Kisala
PA,
et al.
Psychometric evaluation of the pediatric and parent-proxy Patient-Reported Outcomes Measurement Information System and the Neurology and Traumatic Brain Injury Quality of Life measurement item banks in pediatric traumatic brain injury
.
Qual Life Res
.
2017
;
26
(7)
:
1887
1899
.
44. 
Lam
KC,
Snyder Valier AR, Bay RC, Valovich McLeod TC. A unique patient population? Health-related quality of life in adolescent athletes versus general, healthy adolescent individuals
.
J Athl Train
.
2013
;
48
(2)
:
233
241
.
45. 
Snyder Valier AR, Welch Bacon CE, Bay RC, Molzen E, Lam KC, Valovich McLeod TC
.
Reference values for the Pediatric Quality of Life Inventory and the Multidimensional Fatigue Scale in adolescent athletes by sport and sex
.
Am J Sports Med
.
2017
;
45
(12)
:
2723
2729
.
46. 
Varni
JW,
Seid
M,
Kurtin
PS.
PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory Version 4.0 generic core scales in healthy and patient populations
.
Med Care
.
2001
;
39
(8)
:
800
812
.
47. 
Varni
JW,
Burwinkle
TM,
Seid
M,
Skarr
D.
The PedsQL 4.0 as a pediatric population health measure: feasibility, reliability, and validity
.
Ambul Pediatr
.
2003
;
3
(6)
:
329
341
.
48. 
Varni
JW,
Seid
M,
Rode
CA.
The PedsQL: measurement model for the Pediatric Quality of Life Inventory
.
Med Care
.
1999
;
37
(2)
:
126
139
.
49. 
Snyder
AR,
Martinez
JC,
Bay
RC,
Parsons
JT,
Sauers
EL,
Valovich McLeod TC. Health-related quality of life differs between adolescent athletes and adolescent nonathletes
.
J Sport Rehabil
.
2010
;
19
(3)
:
237
248
.
50. 
Daltroy
LH,
Liang
MH,
Fossel
AH,
Goldberg
MJ.
The POSNA Pediatric Musculoskeletal Functional Health Questionnaire: report on reliability, validity, and sensitivity to change. Pediatric Outcomes Instrument Development Group. Pediatric Orthopaedic Society of North America
.
J Pediatr Orthop
.
1998
;
18
(5)
:
561
571
.
51. 
Young
NL,
Williams
JI,
Yoshida
KK,
Wright
JG.
Measurement properties of the Activities Scale for Kids
.
J Clin Epidemiol
.
2000
;
53
(2)
:
125
137
.
52. 
Fabricant
PD,
Robles
A,
McLaren
SH,
Marx
RG,
Widmann
RF,
Green
DW.
Hospital for Special Surgery Pediatric Functional Activity Brief Scale predicts physical fitness testing performance
.
Clin Orthop Relat Res
.
2014
;
472
(5)
:
1610
1616
.
53. 
Fabricant
PD,
Suryavanshi
JR,
Calcei
JG,
Marx
RG,
Widmann
RF,
Green
DW.
The Hospital for Special Surgery Pediatric Functional Activity Brief Scale (HSS Pedi-FABS): normative data
.
Am J Sports Med
.
2018
;
46
(5)
:
1228
1234
.
54. 
Shirazi
CP,
Israel
HA,
Kaar
SG.
Is the Marx Activity Scale reliable in patients younger than 18 years?
Sports Health
.
2016
;
8
(2)
:
145
148
.
55. 
Janz
KF,
Lutuchy
EM,
Wenthe
P,
Levy
SM.
Measuring activity in children and adolescents using self-report: PAQ-C and PAQ-A
.
Med Sci Sports Exerc
.
2008
;
40
(4)
:
767
772
.
56. 
Kowalski
KC,
Crocker
PRE,
Faulkner
RA.
Validation of the Physical Activity Questionnaire for Older Children
.
Pediatr Exerc Sci
.
1997
;
9
(2)
:
174
186
.
57. 
Kowalski
KC,
Crocker
PRE,
Kowalski
NP.
Convergent validity of the Physical Activity Questionnaire for Adolescents
.
Pediatr Exerc Sci
.
1997
;
9
(4)
:
342
352
.
58. 
Varni
JW,
Burwinkle
TM,
Szer
IS.
The PedsQL Multidimensional Fatigue Scale in pediatric rheumatology: reliability and validity
.
J Reumatol
.
2004
;
31
(12)
:
2494
2500
.
59. 
Davis
JC,
Bryan
S.
Patient Reported Outcome Measures (PROMs) have arrived in sports and exercise medicine: why do they matter?
Br J Sports Med
.
2015
;
49
(24)
:
1545
1546
.
60. 
Ruzbarsky
JJ,
Marom
N,
Marx
RG.
Measuring quality and outcomes in sports medicine
.
Clin Sports Med
.
2018
;
37
(3)
:
463
482
.
61. 
Suryavanshi
JR,
Goto
R,
Jivanelli
B,
et al.
Age-appropriate pediatric sports patient-reported outcome measures and their psychometric properties: a systematic review
.
Am J Sports Med
.
2019
;
47
(13)
:
3270
3276
.
62. 
Lohr
KN.
Assessing health status and quality-of-life instruments: attributes and review criteria
.
Qual Life Res
.
2002
;
11
:
193
205
.
63. 
Parsons
JT,
Snyder
AR.
Health-related quality of life as a primary clinical outcome in sport rehabilitation
.
J Sport Rehabil
.
2011
;
20
(1)
:
17
36
.
64. 
Communicating with patients who have limited literacy skills. Report of the National Work Group on Literacy and Health.
J Fam Pract
.
1998
;
46
(2)
:
168
176
.
65. 
Weiss
BD,
Coyne
C.
Communicating with patients who cannot read
.
N Engl J Med
.
1997
;
337
(4)
:
272
274
.
66. 
Pace
CC,
Atcherson
SR,
Zraick
RI.
A computer-based readability analysis of patient-reported outcome questionnaires related to oral health quality of life
.
Patient Educ Couns
.
2012
;
89
(1)
:
76
81
.
67. 
Kirkley
A,
Griffin
S.
Development of disease-specific quality of life measurement tools
.
Arthroscopy
.
2003
;
19
(10)
:
1121
1128
.
68. 
Osoba
D.
Lessons learned from measuring health-related quality of life in oncology
.
J Clin Oncol
.
1994
;
12
(3)
:
608
616
.