Optimizing Ankle Sprain Management in Primary Care: A Randomized Trial of Telerehabilitation Added to Usual Care
Juan Figueroa-García, Víctor Granados-García, Silvia Martínez-Valverde, Guillermo Salinas-Escudero, Juan Carlos H Hernández-Rivera, David Rojano-Mejía

TL;DR
Adding telerehabilitation to usual care improves ankle function recovery after sprains, especially for moderate cases.
Contribution
Demonstrates that telerehabilitation improves functional recovery in ankle sprains when added to usual care.
Findings
Telerehabilitation improved FAAM-ADL and FAAM-Sports scores significantly compared to usual care.
Pain reduction was significant only for grade II sprains in the telerehabilitation group.
Grade I sprains showed improvement only in sports-related functionality.
Abstract
Background: Ankle sprains (AS) are among the most common musculoskeletal injuries, with physical rehabilitation being a cornerstone of treatment. Telerehabilitation has emerged as an effective alternative for managing various musculoskeletal conditions; however, evidence supporting its use specifically for AS remains limited. This study aimed to evaluate whether the addition of structured telerehabilitation to usual care (UC) improves functional recovery in patients with grade I-II AS more effectively than UC alone in a primary care setting. Methods: Eighty-two participants were randomized into two groups (41 each): 1) Intervention group (IG): UC (standard primary care management) plus a four-week telerehabilitation program (30-minute daily exercises, five days/week) delivered via a digital platform with pre-recorded videos; Control group (CG): UC only. The primary outcome was ankle…
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| Measure | Intervention Group (n=41) | Control Group (n=41) | p-value |
| Age group, frequency (%) | |||
| 18-30 | 18 (43.9%) | 14 (34.1%) | 0.365 |
| 31-40 | 12 (29.3%) | 10 (24.4%) | 0.618 |
| 41-50 | 6 (14.6%) | 10 (24.4%) | 0.265 |
| 51-60 | 5 (12.2%) | 7 (17.1%) | 0.532 |
| Sex, frequency (%) | |||
| Female | 18 (43.9%) | 22 (53.7%) | 0.377 |
| Male | 23 (56.1%) | 19 (46.3%) | 0.377 |
| Education, frequency (%) | |||
| Primary and secondary school | 8 (19.5%) | 17 (41.5%) | 0.031 |
| High school | 17 (41.5%) | 18 (43.9%) | 0.823 |
| Higher education | 16 (39%) | 6 (14.6%) | 0.013 |
| BMI classification, frequency (%) | |||
| Underweight | 4 (9.8%) | 2 (4.9%) | 0.396 |
| Normal | 14 (34.1%) | 15 (36.6%) | 0.817 |
| Overweight | 13 (31.7%) | 8 (19.5%) | 0.206 |
| Obesity | 10 (24.4%) | 16 (39%) | 0.154 |
| Ankle sprain grade, frequency (%) | |||
| Grade I | 20 (48.8%) | 12 (29.3%) | 0.07 |
| Grade II | 21 (51.2%) | 29 (70.7%) | 0.7 |
| Study groups and assessment points | ||||||||||
| Outcome | Basal | Week 1 | Week 2 | Week 3 | Week 4 | |||||
| IG (n=42) | CG (n=42) | IG (n=42) | CG (n=42) | IG (n=42) | CG (n=42) | IG (n=42) | CG (n=42) | IG (n=42) | CG (n=42) | |
| FAAM-ADL | 18.7 (13.9 to 23.6) | 18.8 (13.9 to 23.7) | 39.8 (34.4 to 45.2) | 32.5 (27.1 to 37.9) | 58.7 (53.7 to 64) | 50.6 (45.4 to 55.7) | 75.9 (71.5 to 80.3) | 67.6 (63.2 to 72) | 89.8 (86.7 to 92.9) | 81.5(78.3 to 84.6) |
| FAAM-SA | 6.3 (3.5 to 9.1) | 7.1 (4.3 to 9.9) | 24.2 (19.9 to 28.4) | 18.8 (14.5 to 23.1) | 35.8 (31.1 to 40.6) | 29.7 (24.9 to 34.3) | 56.8 (51.7 to 62) | 47.7 (42.5 to 52.8) | 78 (73.3 to 82.7) | 64.6 (59.9 to 69.3) |
| VAS-pain | 8.4 (8.1 to 8.8) | 8.6 (8.2 to 8.9) | 6.4 (5.9 to 6.9) | 7 (6.5 to 7.5) | 4.7 (4.2 to 5.2) | 5.6 (5 to 6.1) | 2.8 (2.4 to 3.3) | 3.8 (3.3 to 4.2) | 1.1 (0.7 to 1.5) | 2.1 (1.7 to 2.5) |
| Within-groups difference | ||||||||||
| Outcome | 1st week minus basal | 2nd week minus basal | 3rd week minus basal | 4th week minus basal | ||||||
| IG | CG | IG | CG | IG | CG | IG | CG | |||
| FAAM-ADL | 21 (16 to 26) p <0.001 | 13.7 (8.7 to 18.7) p <0.001 | 40 (34.4 to 45.7) p <0.001 | 31.7 (26.1 to37.3) p <0.001 | 57.1 (51.8 to 62.5) p <0.001 | 48.7 (43.4 to 54.1) p <0.001 | 71 (66.1 to 75.9) p <0.001 | 62.2 (57.7 to 67.5) p <0.001 | ||
| FAAM-SA | 17.8 (14.5 to 21.0) p <0.001 | 11.6 (8.4 to 14.9) p <0.001 | 29.5 (25.5 to 33.4) p <0.001 | 22.5 (18.6 to 26.4) p <0.001 | 50.2 (45.7 to 55.3) p <0.001 | 40.5 (35.7 to 45.3) p <0.001 | 71.7 (66.9 to 76.4) p <0.001 | 57.4 (52.6 to 62.2) p <0.001 | ||
| VAS-pain | -2 (-2.3 to -1.7) p <0.001 | -1.6 (-1.9 to -1.3) p <0.001 | -3.7 (-4.1 to -3.3) p <0.001 | -3 (-3.4 to -2.6) p <0.001 | -5.6 (-6 to -5.1) p <0.001 | -4.8 (-5.2 to -4.3) p <0.001 | -7.3 (-7.7 to -6.9) p <0.001 | -6.5 (-6.9 to -6) p <0.001 | ||
| Between-group difference | ||||||||||
| Outcome | 1st week minus basal | 2nd week minus basal | 3rd week minus basal | 4th week minus basal | ||||||
| IG minus CG | IG minus CG | IG minus CG | IG minus CG | |||||||
| FAAM-ADL | 7.3 (-0.3 to 14.9) p=0.06 | 8.2 (0.9 to 15.5) p=0.02 | 8.3 (2.1 to 14.5) p=0.009 | 8.3 (3.8 to 12.7) p <0.001 | ||||||
| FAAM-SA | 5.3 (-0.6 to 11.3) p=0.08 | 6.1 (-0.5 to 12.8) p=0.07 | 9.1 (1.8 to 16.5) p=0.01 | 13.4 (6.7 to 20.0) p <0.001 | ||||||
| VAS-pain | -0.5 (-1.2 to 0.1) p=0.1 | -0.8 (-1.6 to -0.1) p=0.019 | -0.9 (-1.6 to -0.2) p=0.005 | -0.9 (-1.5 to -0.4) p <0.001 | ||||||
| Measure | Intervention Group (n=41) | Control Group (n=41) | p-value |
| NSAID use, frequency (%) | 39 (95.1%) | 41 (100%) | 0.247 |
| Ice use, frequency (%) | 23 (56.1%) | 14 (34.1%) | 0.038 |
| Rest, frequency (%) | 40 (97.6%) | 39 (95.1%) | 0.62 |
| Elevation, frequency (%) | 23 (56.1%) | 11 (26.8%) | 0.007 |
| Measure | Intervention Group | Control Group | |||
| Ankle sprain, grade 1 | Median (n=20) | IQR | Median (n=12) | IQR | p-value |
| FAAM score ADL | |||||
| Baseline | 26 | 12, 40 | 21.4 | 13, 41.1 | 0.969 |
| Week 4 | 89.8 | 81.2, 95.6 | 85.7 | 82.7, 95.3 | 0.572 |
| FAAM score sports | |||||
| Baseline | 7.75 | 0, 12.5 | 7.7 | 1.5, 18.3 | 0.753 |
| Week 4 | 82.7 | 66.4, 93 | 70 | 61.6-78.8 | 0.119 |
| VAS for pain | |||||
| VAS-pain, basal | 8 | 8, 9 | 8 | 7.25, 9 | 0.641 |
| VAS-pain, week 4 | 1 | 0, 2 | 1 | 1, 2 | 0.186 |
| Days of incapacity for work | 5 | 4, 7 | 7 | 5, 9.7 | 0.123 |
| Minutes of telerehabilitation performed | 375 | 241, 432 | - | - | - |
| Ankle sprain grade 2 | Median (n=21) | IQR | Median (n=29) | IQR | p-value |
| FAAM score ADL | |||||
| Baseline | 9.6 | 4.7, 16.5 | 13 | 5.3, 20.6 | 0.731 |
| Week 4* | 93.2 | 90.2, 95.9 | 80.9 | 76.2, 86.3 | <0.001 |
| FAAM score sports | |||||
| Baseline | 0 | 0, 7.8 | 3.1 | 0, 7.1 | 0.289 |
| Week 4* | 81.2 | 70.1, 85.5 | 64.2 | 56.6, 73.5 | <0.001 |
| VAS for pain | |||||
| VAS-pain, basal | 9 | 8, 10 | 9 | 8, 10 | 0.56 |
| VAS-pain, week 4 | 1 | 0, 2 | 2 | 1, 3 | 0.003 |
| Incapacity days for work* | 10 | 7, 14 | 14 | 12, 17.5 | 0.021 |
| Minutes of telerehabilitation performed | 425 | 350, 577 | - | - | - |
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Taxonomy
TopicsFoot and Ankle Surgery · Tendon Structure and Treatment · Nail Diseases and Treatments
Introduction
Ankle sprains (AS) are among the most prevalent musculoskeletal injuries [1], with significant variability in reported incidence across different populations [2,3]. They represent a leading cause of physical disability and work absenteeism, yet only 50% of affected individuals seek medical care [4]. Without proper treatment, AS can lead to chronic complications and permanent functional impairment [1,4]. Current management strategies often fail to provide optimal rehabilitation for all patients [1], despite their critical role in recovery.
Rehabilitation focusing on strength, range of motion, and proprioception is essential for functional recovery and reducing recurrence [4,5]. Standard care typically includes RICE protocol (rest, ice, compression, elevation) and NSAIDs [6]. However, only 6.8% of AS patients complete prescribed rehabilitation programs [7], highlighting a critical gap in care delivery.
Telerehabilitation has emerged as an effective solution for various musculoskeletal conditions [8], but its specific benefits for AS remain understudied [9]. This randomized trial evaluated whether adding structured telerehabilitation to usual care (UC) improves functional outcomes in grade I-II AS, compared to UC alone in primary care settings. We hypothesized that the combined approach would demonstrate superior effectiveness, particularly in functional recovery measures.
Materials and methods
Design
We conducted a pragmatic, evaluator- and analyst-blinded, randomized clinical trial with two parallel arms, following the CONSORT guidelines.
This randomized clinical trial was conducted in accordance with the ethical principles established by the Declaration of Helsinki and followed national and international ethical guidelines for research involving human participants. The study protocol was reviewed and approved by the local ethics and health research committee of the institution where the study was conducted (registry and approval number: R-2021-3609-037), and registered at clinicaltrials.gov (identifier: ID- NCT05217173). All participants provided written informed consent after receiving detailed information about the study’s objectives, procedures, and potential risks and benefits. Confidentiality and data protection were ensured in compliance with applicable regulations.
Participants were randomly allocated (1:1) to the intervention group (IG) or control group (CG) using a computer-generated randomization list created in Excel (Microsoft for MacOS). Numbers 1 (IG) and 2 (CG) were each repeated 41 times in a column. A second column with randomly generated numbers was sorted in descending order to determine the allocation sequence. The randomization list was kept confidential and controlled by the principal investigator. Group assignment was communicated verbally to collaborators as each participant enrolled in the study.
Physicians providing UC were blinded to the group assignment of the participants. However, since participants needed to know the instructions for their respective treatment groups, and the evaluators needed to provide these instructions, it was impossible to blind both parties initially. In the subsequent evaluations, different evaluators, who were unaware of the participants’ treatment groups, conducted the assessments, this action was implemented to mitigate potential bias in outcome measurement and to prevent the recording of results from being influenced by the evaluator's knowledge of the study group to which the subject belonged. The data analyst remained blinded throughout the study.
Participants
Eligible participants were adults (18-60 years) diagnosed with grade I or II AS within 72 hours by a family medicine specialist. Imaging studies were not required, as per primary care standards in our setting. Potential participants were identified through daily diagnostic logs from the primary care facility, contacted via telephone, and screened for eligibility; if they were willing to volunteer to participate in the study, a personal interview was scheduled for the next day; a research collaborator evaluated the inclusion criteria. Those who met the selection criteria were asked to sign the informed consent form to participate in the study. The inclusion criteria were as follows: individuals diagnosed with grade I or II AS (as grade III AS are not treated in primary care units in our environment), of any anatomical location, aged between 18 and 60 years, capable of using a mobile phone or computer with internet access, and within 72 hours of sustaining the sprain. The exclusion criteria included individuals with a history of previous AS, central or peripheral neurological disorders, leg or foot ulcers, fibromyalgia, pre-existing ankle arthritis, significant ipsilateral or contralateral lower extremity injury, and those using corticosteroid medications (oral or intravenous).
Intervention and control groups
The CG consisted of people receiving UC. UC consisted of clinical evaluation of the diagnosis and pharmacological treatment, which did not include rehabilitation. The IG received UC and telerehabilitation. The IG participants accessed the telerehabilitation content via mobile phone and/or computer through an application (MoodleCloudTM). The content of the application consisted of basic information on AS and previously recorded video rehabilitation exercises. They were instructed to perform the rehabilitation exercises featured in the videos for 30 minutes/day, five days/week for four weeks. This time is what is considered adequate to return to daily activities after an AS [10]. It was also explained to them that the telerehabilitation exercises consisted of three modules (Appendix 1). The rehabilitation exercises of weeks one and two focused on proprioception and movement, and those of weeks three and four focused mainly on strength exercises.
Outcome measures
Primary Outcome
All data were recorded face-to-face in the clinic using pencil and paper. The primary measurements were performed five times, at the beginning of the study (baseline) and once each subsequent week. Ankle functionality in both groups was measured using the Foot and Ankle Ability Measure (FAAM) instrument. The FAAM at week four was considered the primary outcome measure for assessing ankle functionality, providing a validated and reliable indicator of patient progress. The FAAM consists of two subscales: Activities of Daily Living (FAAM-ADL) with 21 items, and Sports Activities (FAAM-SA) with 8 items. Each item is scored from 0 (unable to perform the activity) to 4 (no difficulty at all). The final score is transformed into percentage scores from 0 (lower functionality) to 100 (higher level of functionality) [11].
Secondary Outcome
Pain perception was measured through the visual analog scale (VAS-pain). For the VAS-pain, a scale of 0 to 10 (divided in cm) was used, where 0 is the absence of pain and 10 is the most intense pain that the person can experience. We also asked about the use of other therapeutic actions at any time in the four weeks (use of ice, elevation of the ankle, use of NSAIDs). Another measure was the quantification of days of work incapacity (representing the number of days it takes a person to return to work after suffering a sprain).
Data analysis
The results of a study that measured the effect of rehabilitation on ankle functionality (through the FAAM) were taken as a reference; the difference obtained between before and after rehabilitation was 9.1 in the FAAM-ADL subscale, with a standard deviation of 11.07 [12]. The values for the calculation were 90% power, 20% loss, and <0.05 for alpha, with a sample of 41 participants per group. The data were analyzed using the intention-to-treat principle. Missing data from participants without follow-up were imputed by predictive mean matching. The Shapiro-Wilk test was performed to determine the normality of data distribution. When the assumption of normality was not met, the median and interquartile ranges were used. A comparison of the dependent variable results was conducted using the Mann-Whitney U test, while weekly within-group data were analyzed with the Friedman test. The associations of the variables with the distribution of the results by groups were evaluated with a chi-square test, and p <0.05 was considered to indicate statistical significance. All analyses were performed using SPSS (Statistical Package for the Social Sciences, version 29, IBM Corp, Armonk, NY, United States). Linear mixed models (LMM) were used to compare changes in FAAM-ADL, FAAM-Sports, and VAS-pain scores over the four-week follow-up. The models included random effects of participants and fixed effects of group, time, and interaction between group and time.
Results
The team recruited participants between February and October 2022. The study sample consisted of 82 participants, 41 in the IG and 41 in the CG. The mean age in both groups was similar (35.2 for IG vs 36.8 for CG; p 0.3). The IG had a greater proportion of people with a higher educational level. There were more overweight participants in the IG and obese participants in the CG. More than half of the participants had a diagnosis of grade 2 of AS (61%) (Table 1).
At the end of the study, both groups showed improvements in ankle functionality and decreased pain; However, the IG achieved greater improvements in functionality with FAAM-ADL scores of 71 points vs 62.2 points in the CG, in FAAM-sports activities (SA) scores of 71.7 vs 57.4 and VAS-pain scores with a decrease in pain of 7.3 vs 6.5 points, respectively (Table 2).
The IG had greater use of ice and elevation of the affected ankle; both groups reported the use of NSAIDs and rest similarly (Table 3).
At the conclusion of the study, significant differences favoring the IG were observed in persons with grade 1 AS for the FAAM-Sports subscale, pain measured by VAS, and days of incapacity. However, no notable differences were found between the IG and CG for the FAAM-ADL subscale. In patients with grade II AS, the IG demonstrated significantly greater functional improvement compared to the CG in both FAAM subscales (ADL and Sports), along with lower pain perception measured by VAS and fewer days of incapacity. When the results for both grades of AS were analyzed, the IG consistently outperformed the CG across all measured outcomes, including greater functional recovery, reduced pain perception, and fewer days of incapacity. The Mann-Whitney U test was performed to compare outcomes between the intervention and control groups; statistical significance was observed only at the 4th week for the FAAM-ADL, FAAM-Sports, and days of incapacity in the subgroup of grade II AS, as well as in the combined analysis of both grades. Self-reported telerehabilitation adherence was higher in grade II ankle sprains than in grade I sprains (median: 425 vs 375 minutes) (Table 4).
*Table 4: Differences in ankle functionality by FAAM, VAS-pain, days of incapacity for work according to the degree of ankle sprain and duration of telerehabilitation exercisesFAAM: foot and ankle ability measure; ADL: activities of daily living; VAS-pain: visual analog scale for pain.p-value <0.05 with the Mann-Whitney U test between the control and intervention groups.
Patient follow-up in the clinical trial
Among the 82 participants recruited, eight from the IG did not complete the follow-up: five due to personal decisions and lack of time for rehabilitation activities, and one due to missing follow-up appointments for functionality evaluation. In the CG, two participants did not complete the activities because they did not respond to phone calls for subsequent evaluation appointments.
Discussion
Our study investigated the effectiveness of telerehabilitation combined with UC for AS compared to UC alone. By the end of the study, participants in the IG showed significant clinical improvements compared to those in the CG. These improvements included: 1) greater gains in perceived ankle functionality, 2) fewer days of work incapacity, and 3) lower pain perception. These benefits were particularly notable in participants with grade II sprains.
Ankle functionality
Both the IG and CG experienced clinically meaningful improvements in perceived functioning over the four weeks; however, the IG consistently had higher scores than the CG. Despite similar baseline FAAM-ADL scores in both groups, participants receiving telerehabilitation demonstrated greater ankle function throughout all follow-up weeks, with the most notable improvements observed in the first week. Early rehabilitation’s positive impact on ankle functionality has been documented in previous studies [5, 13, 14]. However, our study is unique in comparing telerehabilitation to UC for AS, as no previous reports have been identified.
Despite the improvement in functionality, at the end of the study, no subscale reached 100%. This is important because perhaps participants with AS should have a longer-term follow-up and assess whether they need further medical attention. However, we must also consider that we did not know the ankle functionality of the participants before they sustained the sprain. Our results agree with a study that also performed telerehabilitation for AS, in which clinically significant and favorable results of functional recovery were obtained, although this study differs from ours because this was a cohort study without a control group [9]. It is important to note that there were both similarities and differences between the intervention in the cited study and ours. The similarity was the planned duration of the program, which was designed for four weeks in both cases. However, the differences were notable. In the cited study’s program, the rehabilitation exercises focused solely on improving movement and proprioception, neglecting strength development. The exercises were repetitive, lacked variety, and were not sequential, meaning they did not progress from lower to higher intensity. In contrast, our program incorporated strength development and followed a progressive approach. Another difference was the session duration: in the cited study, sessions lasted 20 minutes daily in the first week, 28 minutes in the second and third weeks, and 29 minutes in the fourth week. In our program, sessions were consistently 30 minutes daily throughout all four weeks. According to patient self-reports, those with grade I sprains completed only 62.5% of the prescribed telerehabilitation duration (median: 375/600 minutes), while those with grade II sprains completed 70.8% (median: 425/600 minutes). This difference in adherence may explain why grade II sprains showed better outcomes compared to the CG.
When analyzing ankle functionality by sprain grade, only minimal clinically important differences were obtained in AS grade II (FAAM minimal clinically important differences are 8 and 9 points for the ADL and Sports subscales, respectively). Therefore, we can say that in grade I sprains, telerehabilitation was not more effective than UC, but in grade II sprains, it was more effective. However, this conclusion is based on the results of our specific trial setting, study methods, and specific interventions.
Days of incapacity for work
The IG had fewer days of work incapacity compared to the CG, resulting in a faster return to work among the IG participants. This finding is clinically significant, as physical disability is one of the main consequences of AS. However, few studies have explored the relationship between telerehabilitation and reduced work incapacity [9, 15]. Existing evidence comes from conventional (face-to-face) rehabilitation studies, which suggest that early initiation of rehabilitation is associated with a quicker return to work or sports activities [14, 16, 17].
There are scientific studies that refer to the number of days of physical disability caused by an AS, but the data reported are not consistent [10, 17, 18]. There is no consensus on the number of days of incapacity to work that should be granted; for instance, some studies indicate that athletes return to sports activities in fewer than 10 days [19], while a systematic review reports a range of 12 to 43 days of work incapacity [20]. Other studies suggest an average of 15 days of work incapacity [21]. This variability in the results could be explained by the different approaches to rehabilitation in each of the investigations. The days of incapacity for work caused by AS are important since they generate economic losses for the days that the affected person is no longer productive [1, 10, 18]. A medical intervention that accelerates return-to-work benefits not only the individual affected by the sprain but also their employer and the economy as a whole.
Perception of pain
In AS, pain interferes with functionality and limits activities of daily living, including work [22]. Pain perception has been used as a parameter to partially evaluate the clinical evolution of AS [5, 21]. One study reported that during the first two weeks after an AS, there is a rapid decrease in pain, after which it continues to improve more slowly [23]. Our results showed a decrease in pain perception in both groups at the four-week follow-up. Although the IG had less pain, this only occurred in patients with grade II sprain, with a difference of one point less than the CG in terms of the VAS-pain score; this difference is considered clinically significant [24]. In addition, only time (weeks) and intervention (only for grade II sprain and when for both grades together) had statistical significance for pain reduction. Some studies have reported that using ice alone does not modify the progression of AS or reduce pain. Significant improvement is only achieved when ice is combined with rehabilitation exercises [4]. However, our results appear to be consistent with those of other clinical trials on pain perception when comparing groups of participants undergoing rehabilitation vs. those receiving UC, as there are changes, but not clinically significant [12, 14]. To be considered clinically significant or to have a minimal clinically important difference, this result must be equal to or greater than 1.3 points on the VAS scale for pain [25]. To clarify, we employed a modified VAS for pain assessment, featuring incremental centimeter markings along the traditional 10-cm line. Although this adaptation maintains the scale's measurement validity, we recognize the importance of explicitly reporting this methodological detail.
Another variable that can be considered essential to assess the evolution of pain was the use of NSAIDs; however, in our study, it is difficult to evaluate this variable, since both groups used them in a similar percentage. Although it is known that NSAIDs decrease pain and are only helpful for a short period, there are no differences in pain perception regardless of the type of NSAID used [6, 26, 27].
Limitations and strengths
The main limitation of this study pertains to the selection criteria for the severity grades and anatomical locations of AS. Despite randomization, homogeneous groups were not obtained, and the CG had a greater proportion of grade II sprains, which may have influenced the gain in functionality and days of incapacity to work for this group. A second limitation was the uncertainty regarding program compliance among IG participants, partly due to the nature of the study (characteristics of a pragmatic clinical trial); measuring compliance was not an objective of this study. It is important to mention that there is no consensus on the number and duration of rehabilitation sessions [28]. However, successful results have been reported for rehabilitation interventions, ranging from 3.5-21 hours, with session durations of 10 to 60 minutes, spread over 5 to 84 sessions [28]. In a study involving telerehabilitation for AS, participants achieved positive outcomes with an average of 750 minutes of therapy over five weeks [9]. Therefore, it would be interesting to conduct future research comparing our telerehabilitation program with other populations. A third limitation was the lack of investigation into the specific work activities of participants, which could have influenced their return-to-work timelines. Finally, our study is relatively innovative and does not allow us to have enough parameters for the comparison of results.
Despite these limitations, our research has several strengths. First, it adhered to CONSORT guidelines, ensuring transparency in the communication of methodology and results [29]. Ankle functionality was assessed using the FAAM, which is the instrument recommended by the 2019 International Ankle Consortium Executive Committee expert panel for the assessment and follow-up of AS [1]. There were no ethical controversies regarding the therapy assigned to the patients since both groups were treated and followed for the duration of the study. Another strong point was that the calculated statistical power was preserved (90%), since the sample loss was less than 20%. Another strength was the study design, which included blinding of evaluators and the data analyst to reduce bias. Finally, this is a relatively innovative study that integrates rehabilitation through telerehabilitation. To our knowledge, no similar studies have been conducted in our setting, making these findings particularly valuable for advancing the field.
Conclusions
Adding telerehabilitation to treatment for AS improves functional recovery, although this is greater for grade II sprains than for grade 1 sprains. The addition of telerehabilitation for AS results in fewer days of incapacity for work and reduces pain perception compared to UC. Telerehabilitation is a therapeutic care option that offers advantages for people with AS when compared to UC at the primary care level. Despite promising outcomes favoring telerehabilitation over conventional treatment for AS, these results should be interpreted cautiously due to the scarcity of high-quality studies in this specific area. Future trials with robust methodologies are essential to validate our conclusions.
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