Appraising the Methodological Quality of Sports Injury Video Analysis Studies: The QA-SIVAS Scale.
Journal
Sports medicine (Auckland, N.Z.)
ISSN: 1179-2035
Titre abrégé: Sports Med
Pays: New Zealand
ID NLM: 8412297
Informations de publication
Date de publication:
26 Aug 2023
26 Aug 2023
Historique:
accepted:
03
08
2023
medline:
27
8
2023
pubmed:
27
8
2023
entrez:
26
8
2023
Statut:
aheadofprint
Résumé
Video analysis (VA) is commonly used in the assessment of sports injuries and has received considerable research interest. Until now, no tool has been available for the assessment of study quality. Therefore, the objective of this study was to develop and evaluate a valid instrument that reliably assesses the methodological quality of VA studies. The Quality Appraisal for Sports Injury Video Analysis Studies (QA-SIVAS) scale was developed using a modified Delphi approach including expert consensus and pilot testing. Reliability was examined through intraclass correlation coefficient (ICC The QA-SIVAS scale consists of an 18-item checklist addressing the study design, data source, conduct, report, and discussion of VA studies in sports injury research. Inter- and intra-rater reliability were excellent with ICCs > 0.97. Expert ratings revealed a high construct validity (0.71; p < 0.001). Mean rating time was 10 ± 2 min per article. QA-SIVAS is a reliable and valid instrument that can be easily applied to sports injury research. Future studies in the field of VA should adhere to standardized methodological criteria and strict quality guidelines.
Sections du résumé
BACKGROUND
BACKGROUND
Video analysis (VA) is commonly used in the assessment of sports injuries and has received considerable research interest. Until now, no tool has been available for the assessment of study quality. Therefore, the objective of this study was to develop and evaluate a valid instrument that reliably assesses the methodological quality of VA studies.
METHODS
METHODS
The Quality Appraisal for Sports Injury Video Analysis Studies (QA-SIVAS) scale was developed using a modified Delphi approach including expert consensus and pilot testing. Reliability was examined through intraclass correlation coefficient (ICC
RESULTS
RESULTS
The QA-SIVAS scale consists of an 18-item checklist addressing the study design, data source, conduct, report, and discussion of VA studies in sports injury research. Inter- and intra-rater reliability were excellent with ICCs > 0.97. Expert ratings revealed a high construct validity (0.71; p < 0.001). Mean rating time was 10 ± 2 min per article.
CONCLUSION
CONCLUSIONS
QA-SIVAS is a reliable and valid instrument that can be easily applied to sports injury research. Future studies in the field of VA should adhere to standardized methodological criteria and strict quality guidelines.
Identifiants
pubmed: 37632664
doi: 10.1007/s40279-023-01907-z
pii: 10.1007/s40279-023-01907-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023. The Author(s).
Références
Aiello F, Impellizzeri FM, Brown SJ, Serner A, McCall A. Injury-inciting activities in male and female football players: a systematic review. Sports Med. 2022. https://doi.org/10.1007/s40279-022-01753-5 .
doi: 10.1007/s40279-022-01753-5
pubmed: 36315396
pmcid: 9807506
Ardern CL, Büttner F, Andrade R, Weir A, Ashe MC, Holden S, et al. Implementing the 27 PRISMA 2020 Statement items for systematic reviews in the sport and exercise medicine, musculoskeletal rehabilitation and sports science fields: the PERSiST (implementing Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science) guidance. Br J Sports Med. 2022;56:175–95.
pubmed: 34625401
doi: 10.1136/bjsports-2021-103987
Bahr R, Krosshaug T. Understanding injury mechanisms: a key component of preventing injuries in sport. Br J Sports Med. 2005;39:324–9.
pubmed: 15911600
pmcid: 1725226
doi: 10.1136/bjsm.2005.018341
Belcher S, Whatman C, Brughelli M. A systematic video analysis of 21 anterior cruciate ligament injuries in elite netball players during games. Sports Biomech. 2022. https://doi.org/10.1080/14763141.2022.20349281-18 .
doi: 10.1080/14763141.2022.20349281-18
pubmed: 35129089
Boden BP, Dean GS, Feagin JA Jr, Garrett WE Jr. Mechanisms of anterior cruciate ligament injury. Orthopedics. 2000;23:573–8.
pubmed: 10875418
doi: 10.3928/0147-7447-20000601-15
Boden BP, Torg JS, Knowles SB, Hewett TE. Video analysis of anterior cruciate ligament injury: abnormalities in hip and ankle kinematics. Am J Sports Med. 2009;37:252–9.
pubmed: 19182110
doi: 10.1177/0363546508328107
Brophy RH, Stepan JG, Silvers HJ, Mandelbaum BR. Defending puts the anterior cruciate ligament at risk during soccer: a gender-based analysis. Sports Health. 2015;7:244–9.
pubmed: 26131302
pmcid: 4482300
doi: 10.1177/1941738114535184
Buehn S, Mathes T, Prengel P, Wegewitz U, Ostermann T, Robens S, et al. The risk of bias in systematic reviews tool showed fair reliability and good construct validity. J Clin Epidemiol. 2017;91:121–8.
doi: 10.1016/j.jclinepi.2017.06.019
Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54:1451–62.
pubmed: 33239350
doi: 10.1136/bjsports-2020-102955
Cochrane JL, Lloyd DG, Buttfield A, Seward H, McGivern J. Characteristics of anterior cruciate ligament injuries in Australian football. J Sci Med Sport. 2007;10:96–104.
pubmed: 16807104
doi: 10.1016/j.jsams.2006.05.015
Davis GA, Makdissi M, Bloomfield P, Clifton P, Echemendia RJ, Falvey ÉC, et al. International consensus definitions of video signs of concussion in professional sports. Br J Sports Med. 2019;53:1264–7.
pubmed: 30954947
doi: 10.1136/bjsports-2019-100628
De Carli A, Koverech G, Gaj E, Marzilli F, Fantoni F, Liberati Petrucci G, et al. Anterior cruciate ligament injury in elite football players: video analysis of 128 cases. J Sports Med Phys Fitness. 2022;62:222–8.
pubmed: 34080810
doi: 10.23736/S0022-4707.21.11230-7
Della Villa F, Buckthorpe M, Grassi A, Nabiuzzi A, Tosarelli F, Zaffagnini S, et al. Systematic video analysis of ACL injuries in professional male football (soccer): injury mechanisms, situational patterns and biomechanics study on 134 consecutive cases. Br J Sports Med. 2020;54:1423–32.
pubmed: 32561515
doi: 10.1136/bjsports-2019-101247
Della Villa F, Buckthorpe M, Tosarelli F, Zago M, Zaffagnini S, Grassi A. Video analysis of Achilles tendon rupture in male professional football (soccer) players: injury mechanisms, patterns and biomechanics. BMJ Open Sport Exerc Med. 2022;8: e001419.
pubmed: 36172398
pmcid: 9511658
doi: 10.1136/bmjsem-2022-001419
Della Villa F, Tosarelli F, Ferrari R, Grassi A, Ciampone L, Nanni G, et al. Systematic video analysis of anterior cruciate ligament injuries in professional male rugby players: pattern, injury mechanism, and biomechanics in 57 consecutive cases. Orthop J Sports Med. 2021;9:23259671211048184.
pubmed: 34805419
pmcid: 8597070
doi: 10.1177/23259671211048182
Engebretsen L, Soligard T, Steffen K, Alonso J, Aubry M, Budgett R, et al. Sport injuries and illnesses during the London Summer Olympic Games 2012. Br J Sports Med. 2013;47:407–14.
pubmed: 23515712
doi: 10.1136/bjsports-2013-092380
Filbay SR, Skou ST, Bullock GS, Le CY, Räisänen AM, Toomey C, et al. Long-term quality of life, work limitation, physical activity, economic cost and disease burden following ACL and meniscal injury: a systematic review and meta-analysis for the OPTIKNEE consensus. Br J Sports Med. 2022. https://doi.org/10.1136/bjsports-2022-105626 .
doi: 10.1136/bjsports-2022-105626
pubmed: 36379676
Foley NC, Bhogal SK, Teasell RW, Bureau Y, Speechley MR. Estimates of quality and reliability with the physiotherapy evidence-based database scale to assess the methodology of randomized controlled trials of pharmacological and nonpharmacological interventions. Phys Ther. 2006;86:817–24.
pubmed: 16737407
doi: 10.1093/ptj/86.6.817
Grassi A, Smiley SP, Roberti di Sarsina T, Signorelli C, Marcheggiani Muccioli GM, Bondi A, et al. Mechanisms and situations of anterior cruciate ligament injuries in professional male soccer players: a YouTube-based video analysis. Eur J Orthop Surg Traumatol. 2017;27:967–81.
pubmed: 28124130
doi: 10.1007/s00590-017-1905-0
Grassi A, Tosarelli F, Agostinone P, Macchiarola L, Zaffagnini S, Della Villa F. Rapid posterior tibial reduction after noncontact anterior cruciate ligament rupture: mechanism description from a video analysis. Sports Health. 2020;12:462–9.
pubmed: 32697672
pmcid: 7485016
doi: 10.1177/1941738120936673
Gronwald T, Klein C, Hoenig T, Pietzonka M, Bloch H, Edouard P, et al. Hamstring injury patterns in professional male football (soccer): a systematic video analysis of 52 cases. Br J Sports Med. 2022;56:165–71.
pubmed: 34876406
doi: 10.1136/bjsports-2021-104769
Hendricks S, Till K, den Hollander S, Savage TN, Roberts SP, Tierney G, et al. Consensus on a video analysis framework of descriptors and definitions by the Rugby Union Video Analysis Consensus group. Br J Sports Med. 2020;54:566–72.
pubmed: 32079603
doi: 10.1136/bjsports-2019-101293
Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.
pubmed: 22008217
pmcid: 3196245
doi: 10.1136/bmj.d5928
Hoenig T, Ackerman KE, Beck BR, Bouxsein ML, Burr DB, Hollander K, et al. Bone stress injuries. Nat Rev Dis Primers. 2022;8:26.
pubmed: 35484131
doi: 10.1038/s41572-022-00352-y
Hoenig T, Edouard P, Krause M, Malhan D, Relógio A, Junge A, et al. Analysis of more than 20,000 injuries in European professional football by using a citizen science-based approach: an opportunity for epidemiological research? J Sci Med Sport. 2022;25:300–5.
pubmed: 34916169
doi: 10.1016/j.jsams.2021.11.038
Hoenig T, Gronwald T, Hollander K, Klein C, Frosch K-H, Ueblacker P, et al. Situational and biomechanical patterns of Achilles tendon ruptures in professional male football: a systematic video analysis of 80 cases. Knee Surg Sports Traumatol Arthrosc. 2023;31:2236-45.
pubmed: 36977780
pmcid: 10183418
doi: 10.1007/s00167-023-07384-1
Jadad AR, Moore RA, Carroll D, Jenkinson C, Reynolds DJM, Gavaghan DJ, et al. Assessing the quality of reports of randomized clinical trials: is blinding necessary? Control Clin Trials. 1996;17:1–12.
pubmed: 8721797
doi: 10.1016/0197-2456(95)00134-4
Johnston JT, Mandelbaum BR, Schub D, Rodeo SA, Matava MJ, Silvers-Granelli HJ, et al. Video analysis of anterior cruciate ligament tears in professional American football athletes. Am J Sports Med. 2018;46:862–8.
pubmed: 29466019
doi: 10.1177/0363546518756328
Koga H, Nakamae A, Shima Y, Bahr R, Krosshaug T. Hip and ankle kinematics in noncontact anterior cruciate ligament injury situations: video analysis using model-based image matching. Am J Sports Med. 2018;46:333–40.
pubmed: 29024605
doi: 10.1177/0363546517732750
Koga H, Nakamae A, Shima Y, Iwasa J, Myklebust G, Engebretsen L, et al. Mechanisms for noncontact anterior cruciate ligament injuries: knee joint kinematics in 10 injury situations from female team handball and basketball. Am J Sports Med. 2010;38:2218–25.
pubmed: 20595545
doi: 10.1177/0363546510373570
Krosshaug T, Nakamae A, Boden BP, Engebretsen L, Smith G, Slauterbeck JR, et al. Mechanisms of anterior cruciate ligament injury in basketball: video analysis of 39 cases. Am J Sports Med. 2007;35:359–67.
pubmed: 17092928
doi: 10.1177/0363546506293899
Lucarno S, Zago M, Buckthorpe M, Grassi A, Tosarelli F, Smith R, et al. Systematic video analysis of anterior cruciate ligament injuries in professional female soccer players. Am J Sports Med. 2021;49:1794–802.
pubmed: 33989090
doi: 10.1177/03635465211008169
Mackay L, Jones B, Janse van Rensburg DCC, Hall F, Alexander L, Atkinson K, et al. Consensus on a netball video analysis framework of descriptors and definitions by the netball video analysis consensus group. Br J Sports Med. 2023;57:441–9.
pubmed: 36754590
doi: 10.1136/bjsports-2022-106187
Maher CG, Sherrington C, Herbert RD, Moseley AM, Elkins M. Reliability of the PEDro scale for rating quality of randomized controlled trials. Phys Ther. 2003;83:713–21.
pubmed: 12882612
doi: 10.1093/ptj/83.8.713
Millar NL, Silbernagel KG, Thorborg K, Kirwan PD, Galatz LM, Abrams GD, et al. Tendinopathy Nat Rev Dis Primers. 2021;7:1–21.
pubmed: 33414454
doi: 10.1038/s41572-020-00234-1
Montgomery C, Blackburn J, Withers D, Tierney G, Moran C, Simms C. Mechanisms of ACL injury in professional rugby union: a systematic video analysis of 36 cases. Br J Sports Med. 2018;52:994–1001.
pubmed: 28039125
doi: 10.1136/bjsports-2016-096425
Olivo SA, Macedo LG, Gadotti IC, Fuentes J, Stanton T, Magee DJ. Scales to assess the quality of randomized controlled trials: a systematic review. Phys Ther. 2008;88:156–75.
pubmed: 18073267
doi: 10.2522/ptj.20070147
Olsen OE, Myklebust G, Engebretsen L, Bahr R. Injury mechanisms for anterior cruciate ligament injuries in team handball: a systematic video analysis. Am J Sports Med. 2004;32:1002–12.
pubmed: 15150050
doi: 10.1177/0363546503261724
Randolph JJ. Free-marginal multirater kappa: an alternative to Fleiss’ fixed marginal multirater kappa. Joensuu Learning and Instruction Symposium, Joensuu, Finland; 2005.
Rolley TL, Saunders N, Bonacci J, Keast M, Fox AS. Video analysis of anterior cruciate ligament injury situations in the women’s Australian football league. Sci Med Footb. 2023;7:106–23.
pubmed: 35544763
doi: 10.1080/24733938.2022.2076897
Sackett DL, Rosenberg WM, Gray JA, Haynes RB, Richardson WS. Evidence based medicine: what it is and what it isn’t. BMJ. 1996;312:71–2.
pubmed: 8555924
pmcid: 2349778
doi: 10.1136/bmj.312.7023.71
Sacristán JA, Aguarón A, Avendaño-Solá C, Garrido P, Carrión J, Gutiérrez A, et al. Patient involvement in clinical research: why, when, and how. Patient Prefer Adherence. 2016;10:631.
pubmed: 27175063
pmcid: 4854260
doi: 10.2147/PPA.S104259
Serner A, Mosler AB, Tol JL, Bahr R, Weir A. Mechanisms of acute adductor longus injuries in male football players: a systematic visual video analysis. Br J Sports Med. 2019;53:158–64.
pubmed: 30006458
doi: 10.1136/bjsports-2018-099246
Sheehan FT, Sipprell WH 3rd, Boden BP. Dynamic sagittal plane trunk control during anterior cruciate ligament injury. Am J Sports Med. 2012;40:1068–74.
pubmed: 22383659
pmcid: 3582351
doi: 10.1177/0363546512437850
Stuelcken MC, Mellifont DB, Gorman AD, Sayers MG. Mechanisms of anterior cruciate ligament injuries in elite women’s netball: a systematic video analysis. J Sports Sci. 2016;34:1516–22.
pubmed: 26644060
doi: 10.1080/02640414.2015.1121285
Waldén M, Krosshaug T, Bjørneboe J, Andersen TE, Faul O, Hägglund M. Three distinct mechanisms predominate in non-contact anterior cruciate ligament injuries in male professional football players: a systematic video analysis of 39 cases. Br J Sports Med. 2015;49:1452–60.
pubmed: 25907183
doi: 10.1136/bjsports-2014-094573
Wilke J, Krause F, Niederer D, Engeroff T, Nürnberger F, Vogt L, et al. Appraising the methodological quality of cadaveric studies: validation of the QUACS scale. J Anat. 2015;226:440–6.
pubmed: 25846130
pmcid: 4450944
doi: 10.1111/joa.12292
Zeng X, Zhang Y, Kwong JS, Zhang C, Li S, Sun F, et al. The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta-analysis, and clinical practice guideline: a systematic review. J Evid Based Med. 2015;8:2–10.
pubmed: 25594108
doi: 10.1111/jebm.12141