Effectiveness of Different Types of Foot Orthoses for the Treatment of Plantar Fasciitis
Abstract
- Fifteen percent (15%) of adult foot complaints requiring professional care in the United States are for plantar heel pain[17];
- One US orthotic laboratory found that one in every eight orthotic prescriptions were associated with heel spur–related symptoms.[22]
Applying Evidence-Based Principles to Clinical Trials
- The primary outcome measures should be fully validated and have been found to be reliable.[55]
- Researchers should conduct a prospective sample size calculation to decrease the chances of a type II error occurring. (A type II error occurs when the null hypothesis is accepted incorrectly, with the conclusion that no statistically significant difference exists between treatment groups when in fact one does exist. [55] This difference depends largely on sample size. A small sample size is less likely to detect a statistically significant difference. A large sample size is more likely to detect a statistically significant difference; however, this difference may not be clinically relevant. A prospective sample size calculation should be performed to ensure that a statistically significant result is detected when a clinically meaningful difference is present.)
- The randomization order is best determined by a computer, and the allocation sequence must be concealed from clinicians until the last possible moment (ie, clinicians and participants should be blinded to treatment allocation).[58,59] This prevents clinicians from gaining previous knowledge of the allocation sequence and consequently being in a position to bias recruitment. Although blinding prevents researchers and participants from introducing bias, it is difficult in a trial with foot orthoses to blind researchers once participants have received their orthoses.[60]
- The dropout rate must be reported and should be kept to a minimum; anything greater than 15% should be viewed with caution.[61] Excessive dropout may lead to distortion of results, particularly if more dropouts occur in one group.
- An intention-to-treat analysis should be conducted as the primary analysis. With this type of analysis, outcome measures are obtained regardless of compliance with the trial protocol, and data from all participants are analyzed according to allocation even if the participants had adverse events or unexpected outcomes.[62–65] Intention-to-treat analysis maintains the balance of confounders (reducing variability between groups)[64] and provides a more pragmatic estimate of the benefit of a treatment.[66]
- If a pragmatic trial is planned, then interventions, clinicians, and study protocols should represent common practice as much as possible to ensure external validity and generalizability.[67]
RCTs Evaluating Foot Orthoses and Plantar Fasciitis
Conclusion
Acknowledgment
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© 2004 American Podiatric Medical Association
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Landorf, K.B.; Keenan, A.-M.; Herbert, R.D. Effectiveness of Different Types of Foot Orthoses for the Treatment of Plantar Fasciitis. J. Am. Podiatr. Med. Assoc. 2004, 94, 542-549. https://doi.org/10.7547/0940542
Landorf KB, Keenan A-M, Herbert RD. Effectiveness of Different Types of Foot Orthoses for the Treatment of Plantar Fasciitis. Journal of the American Podiatric Medical Association. 2004; 94(6):542-549. https://doi.org/10.7547/0940542
Chicago/Turabian StyleLandorf, Karl B., Anne-Maree Keenan, and Robert D. Herbert. 2004. "Effectiveness of Different Types of Foot Orthoses for the Treatment of Plantar Fasciitis" Journal of the American Podiatric Medical Association 94, no. 6: 542-549. https://doi.org/10.7547/0940542
APA StyleLandorf, K. B., Keenan, A.-M., & Herbert, R. D. (2004). Effectiveness of Different Types of Foot Orthoses for the Treatment of Plantar Fasciitis. Journal of the American Podiatric Medical Association, 94(6), 542-549. https://doi.org/10.7547/0940542


