| Literature DB >> 30719378 |
Rima L Bogardus1, Ryan J Martin1, Alice R Richman1, Anthony S Kulas1.
Abstract
BACKGROUND: Preventing anterior cruciate ligament (ACL) injuries is important to avoid long-term adverse health consequences. Identifying barriers to implementation of these prevention programs is crucial to reducing the incidence of these injuries. Our purpose was to identify barriers of implementation for ACL injury prevention programs and suggest mechanisms for reducing the barriers through application of a Socio-Ecological Model (SEM).Entities:
Keywords: Anterior cruciate ligament injury prevention; Barriers to implementation; Neuromuscular training programs; Socio-Ecological Model; Sports injury prevention
Year: 2017 PMID: 30719378 PMCID: PMC6349588 DOI: 10.1016/j.jshs.2017.11.001
Source DB: PubMed Journal: J Sport Health Sci ISSN: 2213-2961 Impact factor: 7.179
Fig. 1Flowchart of literature search. ACL = anterior cruciate ligament.
Summary of studies on ACL injury prevention training programs.
| Study | Description of participants | Number of participants | Study design | Program description | ACL injuries | Data analysis methods | PEDro score | ||
|---|---|---|---|---|---|---|---|---|---|
| Intervention | Control | Intervention | Control | ||||||
| Caraffa et al. | Semi-professional and amateur soccer players (not specified whether male or female) | 300 | 300 | Non-randomized cohort study | •Pre-season and playing season program: balance and proprioception exercises; | 10 | 70 | χ2 | 2 |
| Hewett et al. | High school soccer, volleyball, and basketball players | 366 females | 463 females | Non-randomized cohort study | •Pre-season program: stretching, strength, plyometrics; | 0 | 6 | χ2 | 3 |
| Heidt et al. | Female high school soccer players | 42 | 258 | RCT | •Pre-season program: cardiovascular conditioning, strength, plyometrics, agility | 1 | 8 | Student's | 4 |
| Soderman et al. | Female soccer players, average 20 years of age | 121 | 100 | Cluster RCT | •Home-based proprioceptive program using balance boards; | 4 | 1 | RR with 95%CI | 4 |
| Myklebust et al. | Female handball players | Intervention season 1: | Control Season: 942 | Non-randomized cohort study | •At-practice program: balance exercises (neuromuscular control), planting and cutting and jumping or landing drills; | Intervention season 1: 23 | Control season: | OR | 4 |
| Mandelbaum et al. | Female soccer players, 14–18 years of age | Year 1: | Year 1: | Non-randomized cohort study | •Warm-up program: stretching, strengthening, plyometrics, agility drills; | Year 1: | Year 1: | Relative risk with 95%CI | 3 |
| Olsen et al. | Male and female handball players, 15–17 years of age | 958: | 879: | Cluster RCT | •Warm-up program: running, strengthening, balance, technique; | 3 | 10 | RR with 95%CI | 7 |
| Petersen et al. | Female handball players | 134 | 142 | Non-randomized cohort study | •At-practice program: balance and jump training; | 0 | 5 | OR with 95%CI | 2 |
| Pfeiffer et al. | Female high school soccer, basketball, volleyball players | 577 | 862 | Non-randomized cohort study | • At-practice program:plyometrics and agility drills; | 3 | 3 | OR with 95%CI | 2 |
| Gilchrist et al. | Female college soccer players | 583 | 852 | Cluster RCT | •At-practice program: stretching, strength, plyometrics, agility; | 2 | 10 | 4 | |
| Pasanen et al. | Female floorball players | 256 | 201 | Cluster RCT | •At-practice program: running, balance, plyometrics, strengthening, stretching; | 4 | 6 | RR with 95%CI | 8 |
| Steffen et al. | Female soccer players, 12–17 years of age | 1073 | 947 | Cluster RCT | •Warm-up program: core stability, balance, dynamic stabilization, and hamstring strength; | 4 | 5 | 7 | |
| Kiani et al. | Female soccer players, 13–19 years of age | 777 | 729 | Non-randomized cohort study | •At-practice program: warm-up, muscle activation, balance, strength, core stability. | 0 | 5 | RR with 95%CI ( | 4 |
| LaBella et al. | Female high school soccer and basketball players | 737 | 755 | Cluster RCT | •At-practice program: warm-up, strength, agility, balance, plyometrics, technique instruction; | 2 | 6 | χ2 and Fisher exact test, Cochran–Armitage test | 6 |
| Walden et al. | Female soccer players, 12–17 years of age | 2479 | 2085 | Cluster RCT | •Warm-up program: knee control and core stability, jumping or landing technique; | 7 | 14 | RR with 95%CI | 7 |
Abbreviations: ACL = anterior cruciate ligament; CI = confidence interval; OR = odd ratio; RCT = randomized controlled trial; RR = rate ratio.
Indicates that authors found a significant injury reduction effect from intervention.
Barriers to implementation with citations from studies.
| Barrier | Study quotes |
|---|---|
| Motivation | “Most of the 12 teams that declined to participate after learning about the preventive program expressed skepticism regarding the usefulness of the program as the reason for nonparticipation, which suggests a different attitude toward preventive training.” (Kiani et al., |
| Time requirements | “…during the competitive season, many of the teams in the present investigation often trained only once or twice weekly. As a consequence of these factors, the ability to include preventive training sessions on a consistent basis may have been limited.” (Steffen et al., |
| Skill requirements | “In the intervention a strong emphasis was placed on proper technical performance of every exercise. We considered it important that the intervention coaches and players had good knowledge of the correct training technique, typical mistakes in each exercise manoeuvre, and appropriate methods for their correction.” (Pasanen et al., |
| Compliance | “In conclusion, we observed no effect of the injury prevention program on the injury rate, most likely because the compliance with the program was low.” (Steffen et al., |
| Cost | “The cost of training a group of 15 to 20 coaches was $80 per coach.” (LaBella at al., |
Abbreviation: ACL = anterior cruciate ligament.
Fig. 2Representation of Socio-Ecological Model as it applies to athletes.