Consensus on a netball video analysis framework of descriptors and definitions by the netball video analysis consensus group

Mackay, Lois; Jones, Ben; Rensburg, Dina Christina Janse van; Hall, Francine S.; Alexander, Lisa V.; Atkinson, Karen; Baldrey, Pippa; Bedford, Anthony; Cormack, Stuart J.; Clarke, Jade; Croft, Hayden; Denton, Katie; Fox, Aaron; Hadley, Paige; Handyside, Richard; Hendricks, Sharief; Kerss, Jim; Leota, Liana; Maddern, Bjorn; McErlain-Naylor, Stuart A.; Mooney, Mitchell; Pyke, Daniel; Pistorius, Danielle; Ramagole, Dimakatso A.; Ryan, D.; Scott, F. Brantley; Scott, Tannath J.; Snow, J.; Spencer, Kirsten; Thirlby, Jess; Viljoen, Carel T.; Whitehead, Sarah

doi:10.1136/bjsports-2022-106187

Cited by 9 publications

(4 citation statements)

References 32 publications

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“…Combining these video methods, where possible, with athlete and medical staff descriptions is recommended to provide a more comprehensive understanding of injury causality [22,90]. To facilitate clear comparisons between studies, the de nitions and terminology recommended in the recent consensus on netball video analysis framework [94] should also be adopted.…”

Section: Discussionmentioning

confidence: 99%

The Netball Injury Incidence and Aetiology Evidence Base: A Scoping Review of Methodologies and Recommendations for Future Approaches.

Horne,

Baltzopoulos,

Shaheen

et al. 2024

Preprint

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Background Netball is a sport with a large participation base and a high risk of injuries. The development of effective prevention strategies to minimise injury is dependent upon a clear understanding of the sports injury problems, aetiology and mechanisms. Thus, appropriate research methodologies are essential to accurately identify the injury evidence base. The objective of this scoping review was to map out the characteristics and range of netball injury research methodologies, identify limitations and provide guidance for future research. Methods A systematic, librarian assisted search of seven scientific databases from 1985 to March 2023 identified relevant studies. All peer-reviewed studies assessing injury incidence, aetiology and mechanisms in netball were included. Results Screening of 642 studies identified 61netball injury studies (67% descriptive epidemiology: 56% analysing hospital/insurance data, 44% netball competitions; 33% analytic epidemiology). Across studies considerable variation exists in study designs, injury definitions, methods of data collection and reporting, calculation of injury incidence and classification of study populations. The 20 analytic studies assessed a wide range of injury risk factors, but 70% used a simplistic reductionist approach to determine causality, limiting understanding of injury causes. Methods of recording injury mechanisms relied on simple descriptions, based on athlete self-report or medical staff reporting, reducing the accuracy of information. Consequently, these methodological issues make it difficult to identify clear injury issues across age groups and playing levels. Conclusion The findings highlight the use of heterogeneous and inappropriate methodologies for analysis of the incidence, causes and mechanisms of netball injuries. Standardisation of methodologies for the collection of injury data, and assessment of risk factors and mechanisms is essential. A multifactorial approach is required to assess the complex interaction between multiple risk factors, player load and the injury inciting event. This will provide a more accurate evidence base to inform effective preventative strategies.

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Section: Discussionmentioning

confidence: 99%

The Netball Injury Incidence and Aetiology Evidence Base: A Scoping Review of Methodologies and Recommendations for Future Approaches.

Horne,

Baltzopoulos,

Shaheen

et al. 2024

Preprint

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“…To date, only few recommendations on how to standardize VA have been published. These recommendations were specific to sports or injuries such as concussion, rugby or netball [ 11 , 22 , 33 ]. For example, in future VA research, QA-SIVAS may improve study design when used as a checklist in the planning of new studies [ 48 ].…”

Section: Discussionmentioning

confidence: 99%

Appraising the Methodological Quality of Sports Injury Video Analysis Studies: The QA-SIVAS Scale

Hoenig,

Rahlf,

Wilke

et al. 2023

Sports Med

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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 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 (ICC3,1) and free-marginal kappa statistics by three independent raters. Construct validity was investigated by comparing QA-SIVAS with expert ratings by using Kendall’s tau analysis. Rating time was studied by applying the scale to 21 studies and computing the mean time for rating per study article. 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 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.

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“…Possessions began with the umpire’s signal, indicating the commencement of a centre pass or restart after a penalty. Additionally, possessions also began in open play through a turnover (either general play turnover or unforced turnover) [ 65 ], in which possession started as the closest 10 th of a second to which an attacking or opposition team player gained possession of the ball. During timeouts, pauses in play or when neither team had clear possession of the ball, the time phase was coded as “No Possession” [ 66 , 67 ].…”

Section: Methodsmentioning

confidence: 99%

Exploration of collective tactical variables in elite netball: An analysis of team and sub-group positioning behaviours

Hodder,

Hopkins,

Ball

et al. 2024

PLoS ONE

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Collective tactical behaviours are aspects of player interactions that are particularly important in netball, due to its unique restrictions on player movement (players unable to move when in possession of the ball and positional spatial restrictions). The aim of this study was to explore variables representing collective tactical behaviours in netball. A local positioning system provided player positions of one team throughout seven elite-level netball matches. The positions were analysed to provide mean, variability (standard deviation) and irregularity (normalised approximate entropy) for each attack and defence possession (470 and 423, respectively) for the team and positional subgroups (forwards, midcourts and defenders) for 10 position-related variables. Correlational analyses showed collective tactical variables could be grouped as lateral and longitudinal dispersion variables. The variables were each analysed after log transformation with a linear mixed model to compare attack and defence and to estimate standardised effects on attack and defence of possession outcome, possession duration, score difference, match time, opposition strength and season time. During attack, the team and all sub-groups adopted greater lateral dispersion between players, while on defence there was generally greater longitudinal dispersion. The team also showed increased longitudinal dispersion when home and opposition possessions ended in a score. Additionally, greater irregularity was observed in active sub-groups (forwards on attack, defenders on defence). Score difference and opposition strength had trivial-small but generally unclear effects. In conclusion, these effects show that analysis of player positions on attack and defence is a promising avenue for coaches and analysts to modify collective tactical behaviours in netball.

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Consensus on a netball video analysis framework of descriptors and definitions by the netball video analysis consensus group

Cited by 9 publications

References 32 publications

The Netball Injury Incidence and Aetiology Evidence Base: A Scoping Review of Methodologies and Recommendations for Future Approaches.

The Netball Injury Incidence and Aetiology Evidence Base: A Scoping Review of Methodologies and Recommendations for Future Approaches.

Appraising the Methodological Quality of Sports Injury Video Analysis Studies: The QA-SIVAS Scale

Exploration of collective tactical variables in elite netball: An analysis of team and sub-group positioning behaviours

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