Skip to main content

Foot-ankle functional outcomes of using the Diabetic Foot Guidance System (SOPeD) for people with diabetic neuropathy: a feasibility study for the single-blind randomized controlled FOotCAre (FOCA) trial I



Diabetic neuropathy dramatically affects musculoskeletal structure and function of the lower limbs by impairing their muscle strength and mobility. Specific muscle strengthening through physiotherapy strategies appears to be promising; however, adherence to physiotherapy treatment is low in people with chronic diseases. Thus, an internet-based foot-ankle exercise program was created as a potential telerehabilitation alternative for people with diabetes to improve their self-monitoring and self-care management. This study assessed the feasibility, safety, acceptability, and changes in foot health and neuropathy symptoms in people with diabetes after 12 weeks of the intervention program with the Sistema de Orientação ao Pé diabético - Diabetic Foot Guidance System (SOPeD).


Fourteen individuals were recruited and randomized to either the usual care (control group) or usual care plus an internet-based foot-ankle exercise program through SOPeD (intervention group) three times per week for 12 weeks. For feasibility, we assessed contact and recruitment rates per week; program adherence, determined as completing over 70% of the 36 sessions; and participant satisfaction and safety assessed through a questionnaire and scored on a 5-point Likert scale. We assessed changes in neuropathy symptoms and foot health and functionality from baseline to 12 weeks estimating differences or median of differences and 95% confidence intervals in the intervention group.


In 24 weeks, of the 822 patients in the database, 192 were contacted, 65 were assessed for eligibility, and 20 were considered eligible. The recruitment rate was 0.83 participants per week. Fourteen out of the 20 eligible participants agreed to participate, resulting in recruitment success of 70%. Adherence to the program was 66.7%, and there was no dropout. Participants’ median level of satisfaction was 5.0 (IQR: 4.5–5.0) and perceived safety was 5.0 (IQR: 5.0–5.0).


The internet-based foot-ankle exercise program using SOPeD is feasible, satisfactory, and safe. Although this study had moderate adherence and a zero-dropout rate, recruitment needs to be improved in the larger trial.

Trial registration, NCT04011267. Registered on 8 July 2019.

Peer Review reports

Key messages regarding feasibility

  • There is no information on the feasibility, adherence, safety, and acceptability of people with diabetes and neuropathy performing an internet-based exercise program targeting the main musculoskeletal complications.

  • Despite moderate adherence, the Diabetic Foot Guidance System (SOPeD) intervention was shown to be feasible, safe, and satisfactory for all participants.

  • A larger randomized controlled trial should consider strategies to overcome the reduced recruitment rate and improve intervention adherence, which was variable among participants.


Approximately half of people with diabetes mellitus (DM) are affected by diabetic peripheral neuropathy (DPN), one of the most prevalent chronic complications of this disease [1,2,3,4]. Severe musculoskeletal disorders derive from DPN progression, including changes in joint structures that reduce the range of motion [5,6,7] and changes in functionality resulting from impaired distal muscle activation [8,9,10].

Over the past decade, scientific evidence has emerged to support the usefulness of therapeutic foot-related exercises for preventing the main modifiable risk factors for ulcers in people with DM and DPN [11]. These exercises have the potential to improve DPN symptoms and tactile sensitivity [12, 13], strengthen distal muscles, and increase foot-ankle mobility [12,13,14,15,16,17]. Despite the scientific evidence demonstrating the countless benefits for people with DM and DPN, the role of physiotherapy interventions in the management of the diabetic foot is still not popular and widespread as a strategy for the prevention of the main DPN musculoskeletal complications. It was only in 2020 that the recommendation for global foot-related exercises became part of the guidelines of the International Working Group on the Diabetic Foot, although the majority of the studies that supported this recommendation presented small to moderate effect sizes and did not involve therapeutic foot exercises that specifically targeted distal dysfunctions in people with DPN [11, 18]. Therefore, further high-quality trials are needed to increase the level of evidence of therapeutic foot exercises for this population.

Maintaining engagement and adherence to patients’ long-term treatment programs are major determinants of therapy success as well as the greatest challenge faced by physiotherapists, especially in patients with chronic diseases such as DM and DPN [19, 20]. The dropout rate in programs for chronic diseases is up to 36%, and after completing the treatment protocol, adherence to regular exercise further declines [21, 22]. Telerehabilitation has arisen as a promising strategy to overcome this challenge as it stimulates continuous car e[23]. Compared to face-to-face treatment, programs based on telerehabilitation have proven to be viable, safe, well-accepted, and at least as equally effective as regular treatment for patients with common musculoskeletal, neurological, cardiovascular, and respiratory diseases and other health-related problems [24,25,26]. The use of online rehabilitation technologies is also a convenient alternative due to their reduced costs and no need to commute to a city to reach the treatment site, and they allow a greater number of people to obtain assistance from specialists simultaneously [27]. Therefore, rehabilitation technologies, such as internet-based exercise programs, may be effective alternatives to treat people with DM, particularly to improve patients’ compliance with and motivation to continue their treatment [28,29,30,31,32].

The Sistema de Orientação ao Pé diabético - Diabetic Foot Guidance System (SOPeD) is a validated and free public rehabilitation software developed for use as an alternative to face-to-face physiotherapy targeting musculoskeletal disorders that affect people with DM and DPN [32]. SOPeD’s main aims are promoting customized foot-ankle training progression, enhancing compliance, and stimulating continuous and autonomous self-care and self-management habits [32]. However, its efficacy in the treatment and prevention of foot-ankle musculoskeletal alterations in people with DM and DPN has not yet been proven. Its safety, acceptability, and compliance by patients also need to be addressed prior to phase II or III rehabilitation trials because patients with chronic diseases have low adherence to rehabilitation programs in physiotherapy [19, 20, 33,34,35,36].

Identifying people with diabetes who are willing to participate in research can also be a challenge as it requires significant changes in their routine and behaviors [37]. In addition, patients with diabetes have other comorbidities, which makes recruitment even more difficult, as they often have non-inclusion criteria [38]. Thus, feasibility studies are needed to ensure that interventions are viable and safe before future multicenter studies of their effectiveness can occur [36].

At present, we are conducting a superiority randomized controlled trial on the efficacy of a 12-week internet-based foot-ankle therapeutic exercise program guided by the SOPeD to treat musculoskeletal disorders in people with DM and DPN. The present work reports the results of a feasibility and preliminary analysis of this trial, more specifically on aspects of participants’ recruitment, satisfaction, and adherence to the treatment protocol; participants’ safety when using SOPeD; and changes in foot health and functionality and DPN symptoms.


Study design

This feasibility study is part of a series of two clinical trials—the FOot CAre (FOCA) trial I (SOPeD intervention) and FOCA trial II (booklet intervention)—and its reporting is based on the Consolidated Standards of Reporting Trials (CONSORT) 2010: extension to randomized pilot and feasibility trials [39]. The trial was approved by the research ethics committee of the School of Medicine of the University of Sao Paulo (CAAE: 90331718.4.0000.0065) and was prospectively registered at on July 8, 2019 (Study identifier NCT04011267). The main trial, if feasible, is designed as a parallel-group, two-arm, superiority trial with a 1:1 allocation ratio.

Data for this feasibility study were collected between September 2019 and February 2020, totaling 24 weeks of recruitment (Fig. 1), in the Endocrinology Outpatient Clinic of the Hospital das Clínicas of the School of Medicine of the University of São Paulo. The baseline and week 12 (T12) assessments were performed at the Physical Therapy Department of the School of Medicine of the University of São Paulo.

Fig. 1
figure 1

Flowchart of the feasibility study explaining reasons for inclusion and exclusion. T12—evaluation at 12 weeks, DM—diabetes mellitus, DPN—diabetic peripheral neuropathy, SOPeD—Diabetic Foot Guidance System

Table 1 Safety questionnaire and the median score (interquartile range) on a 5-point Likert scale for each statement given by the participants of IG


A sample of 14 adults of both sexes who were between the ages of 18 and 65 years and had a clinical diagnosis of type 1 or 2 DM, that were being treated in the Endocrinology Outpatient Clinic of the Hospital das Clínicas, were recruited by telephone during the 24-week period (Fig. 1). After telephone contact, potential participants were evaluated in the laboratory to confirm all inclusion criteria: mild, moderate, or severe DPN (score ≥ 2) confirmed by the Decision Support System for Classification of Diabetic Polyneuropathy [40, 41] (; independent walking ability; and access to an electronic device (computer, mobile phone, tablet, etc.) and had a score of 12–21 (probable depression) on the Hospital Anxiety and Depression Scale (HADS). An initial anamnesis (screening) was carried out to check for the eligibility criteria and to classify DPN severity [40, 41]. Scores from 2.0 to 3.9 were classified as mild DPN, 4.0 to 7.5 as moderate DPN, and 7.6 and 10.0 as severe DPN.

Participants with any of the following criteria were not included: hallux amputation, amputation of more than one toe, or total foot amputation; the presence of active ulcers in the lower limbs; history of surgical procedures to the knee, ankle, or hip or indication of surgery or arthroplasty; diagnosis of neurological diseases and/or rheumatological diseases; dementia or inability to give consistent information; received any physiotherapy or used offloading devices during the intervention; use of assistive devices for walking; and major vascular complications and/or severe retinopathy as determined from medical files.

Randomization, allocation, and blinding

Block randomization was performed using the Clinstat Software [42] by an independent researcher who was not aware of the numerical coding of the control group (CG) and intervention group (IG). The randomization sequence was organized into blocks with a 1:1 ratio, was kept in opaque and sealed envelopes that were numbered sequentially, and the random allocation was performed after acquiring baseline data. Allocation to CG (n = 8) and IG (n = 6) was made by an independent researcher. Participants’ personal data were kept confidential before, during, and after the study by encoding the names of the participants. Only the physiotherapist responsible for the intervention and for remote monitoring through the SOPeD was aware of group allocation. Two other researchers blind to allocation were responsible for all clinical and functional assessments. The study statistician was blind to allocation until the main treatment analysis was completed.

Intervention protocol

CG participants followed the usual care recommended by the health team (doctors, nurses, and podiatrists), which included pharmacological treatment and self-care guidelines according to international consensus [43]. IG participants followed the usual care regime plus an internet-based foot-ankle exercise program guided by the SOPeD. The exercise protocol (eight exercises per session) was performed three times a week (at a time convenient for the participant) for 12 consecutive weeks (total of 36 sessions) and was supervised remotely by the main researcher through the SOPeD interface. Each session lasted between 20 and 30 min, and the criteria for discontinuing exercise included cramps, moderate to severe pain, excessive fatigue, or any other condition that would subject patients to any discomfort.

SOPeD customizes the progression of the exercises according to the individual’s perceived effort for each exercise (Fig. 2a) and establishes a training volume and guidelines for the interruption that are similar to a face-to-face intervention. The SOPeD includes more than 100 functional, stretching, and strengthening exercises of the extrinsic and intrinsic foot muscles (Fig. 2b). Users were able to communicate with the main researcher through the SOPeD interface about their training, DPN symptoms, or any technical issues. To improve adherence and encourage patients to continue using the tool, SOPeD includes gamification components (Fig. 2c) [44].

Fig. 2
figure 2

Diabetic Foot Guidance System (SOPeD). a Perceived effort scale to be completed after each exercise performed. b Layout of the exercises page with a video, audio, and written instructions. c Exercise protocol rules with gamification components

The first exercise session was supervised by the main researcher at the outpatient clinic of the Physical Therapy Department of the School of Medicine of the University of São Paulo to instruct the participants on how to perform the exercises using the SOPeD and to deliver an exercise kit containing materials needed to perform the exercises (cotton balls, a towel, a pencil, mini elastic bands, balloons, light and moderate resistance elastic bands, massage ball, and finger separators). The therapeutic exercise protocol is described in detail elsewhere [32, 45].

Both groups received calls every 2 weeks from a physiotherapist to check on their adherence and any adverse events. If an IG participant stopped accessing the software for more than three consecutive days, an email was automatically sent asking the user to log into his/her account. The main researcher also made telephone calls to participants who did not respond to email reminders.


For this feasibility study, the main outcomes were contact rate and success, recruitment rate and success, satisfaction with and adherence to the treatment and assessments, dropout rate, participant safety when using SOPeD, and the effect of the intervention in promoting improvements in the general health of the foot and DPN symptoms. To qualify the study as feasible, the following criteria must be fulfilled: (a) participants’ recruitment rate had to be equal to or greater than the laboratory availability for assessments (five participants/week), (b) participants’ dropout had to be ≤ 30% considering the average dropout in clinical trials [46], (c) there had to be > 70% adherence to the 12-week internet-based foot-ankle exercise program [47], and (d) ≥ 70% of the participants had to score their satisfaction with and perceived safety of the SOPeD intervention with a 4 or 5 on a 5-point Likert-type scale. Preliminary changes in outcomes after the online program was assessed within-group difference from baseline to T12 of the IG participants on foot health and functionality and DPN symptoms.

Outcomes for feasibility


The 24-week recruitment was assessed based on the contact rate and success as well as the recruitment rate and success. The contact rate was the ratio between the number of patients contacted during the 24-week recruitment period (b in Fig. 3) and the number of patients available in the database of the Endocrinology Outpatient Clinic (n = 822). Contact success was the ratio between the number of patients who underwent screening in the laboratory to check for the presence and severity of DPN (c in Fig. 3) and the number of patients contacted in the 24-week recruitment period (b in Fig. 3).

Fig. 3
figure 3

Study recruitment flowchart and calculated rates

The recruitment rate was the ratio between the number of people with DM who were deemed eligible after screening (d in Fig. 3) and the length of the recruitment period (24 weeks) (f in Fig. 3), expressed as participants with DM per week. Recruitment success was the ratio between the number of patients who underwent baseline assessment (e in Fig. 3) and the number of eligible participants with DM after screening (d in Fig. 3). The challenges of the recruitment process are described qualitatively.

Adherence and dropout

Adherence to the internet-based exercise program was calculated as the average of the number of sessions completed by all IG participants [47], and to be considered feasible, the participants had to complete at least 70% of the sessions. The data were obtained from the SOPeD user bank and took into account all sessions completed in the SOPeD, even if the participant did not perform the full set of exercises in a particular session. In addition, the percentage of participants who completed at least 70% of the total expected sessions (25 of 36 sessions) in 12 weeks was also calculated. The dropout rate was the proportion of participants who completed the therapeutic program and then dropped out of the study, expressed as a percentage.

Participants’ satisfaction

Participants’ satisfaction with the use of SOPeD was assessed at T12 by a nine-item structured questionnaire with a 5-point Likert scoring scale. This structured questionnaire contains specific questions about the use of the SOPeD and was developed based on a previous study [48]. A score of 4 or 5 indicated greater participant satisfaction.

Participants’ safety

Phase I and II trials that determine the safety of rehabilitation protocols usually only report adverse events [49,50,51]. However, as this internet-based exercise program is new to people with DM and DPN and might offer some risk for users with higher ulceration risk factors, we were interested in investigating the safety of SOPeD usage further. First, we developed an 18-item safety questionnaire that was validated by expert judges using the Delphi methodology (Additional File 1—Delphi study). After validation, the questionnaire was sent to participants in the IG. The software was considered safe if > 70% of the participants gave all statements in the safety questionnaire scores of 4 or 5 on a 5-point Likert scale.

The participants also reported any adverse events in the SOPeD every 30 days and during biweekly calls with the main researcher. Cramps, moderate to intense pain, fatigue, or any other condition that exposed the participant to discomfort were considered.

Clinical outcomes for estimating potential changes after SOPeD intervention

The effects of the intervention were assessed based on changes in DPN symptoms and in the foot health and functionality. For the DPN symptoms, we used the Brazilian version of the Michigan Neuropathy Screening Instrument (MNSI-BR) [52]. This self-administered questionnaire consists of 15 questions, and its total score ranges from 0 to 13 (13 representing the worst DPN). Positive answers for questions 1, 2, 3, 5, 6, 8, 9, 11, 12, 14, and 15 received a score of 1. A negative answer for questions 7 and 13 also received a score of 1. Question 4 is a measure of circulatory deficit, and question 10 is a measure of general asthenia, and thus, these were not included in the score.

To measure the foot health and functionality, we used the Brazilian version of the Foot Health Status Questionnaire (FHSQ-BR) [53]. The first section, which evaluates the foot health in four domains (foot pain, foot function, footwear, and general foot health), was used for this assessment. This section is comprised of statements that are scored using a Likert-type scale. The total possible score is 100 points, where 100 expresses the best condition and 0 the worst. Data were analyzed through the FHSQ software version 1.03 (Care Quest, Brisbane, Australia).

Sample size and statistical analysis

The sample size calculation for the main trial was performed using DPN symptoms as the primary outcome and is reported in the trial protocol paper [45]. The present study shows the results for the 14 participants who were recruited, allocated to the intervention group, and completed the exercise program within the predefined recruitment period of 24 weeks.

According to some authors, the analysis of any type of pilot or feasibility study should be primarily descriptive [54] and may focus on estimating the confidence interval of the outcomes [55]. Feasibility studies are independent studies, and there are controversies as to whether they should be analyzed using hypothesis testing [56, 57]. However, it is not appropriate to assign undue significance to the results of the hypothesis tests, as no formal calculation of power is performed in these types of studies. With small samples, it is likely that there is an imbalance in the pre-randomization covariates, and the confidence interval is likely to be inaccurate, even when there are significant differences. The results of any hypothesis test should therefore be treated as preliminary, and analyses within groups should be favored. We, therefore, reported mean and standard deviation or median and interquartile range (IQR), according to data distribution (Shapiro–Wilk test [p > 0.05]). In order not to compromise the reliability of the final results of the trial, only the results of the IG are presented and discussed and we estimated the changes in outcomes between baseline and T12 by reporting differences or median of differences and their 95% confidence intervals for within-group analysis.


Feasibility outcomes


Recruitment was carried out during a 24-week period from a database of 822 people with DM from the Endocrinology Outpatient Clinic. Within the recruitment period, we were able to contact 192 individuals by phone to invite them to participate in the study, resulting in a contact rate of 23% (Fig. 3). The other 630 individuals (77%) could not be contacted because there were no phone numbers on record for them or they did not answer the calls. From the 192 contacted individuals, 127 (66.1%) did not meet the eligibility criteria as determined over the phone (Fig. 1). Thus, the contact success was 34% (Fig. 3). Further screening at the laboratory of the remaining 65 individuals showed that only 20 (30.7%) had DPN and were thus eligible for the study. Therefore, considering the 24-week period, the recruitment rate was 0.83 patients per week (Fig. 3). All 20 eligible patients agreed to participate in the study initially, but only 14 attended the baseline assessment, which resulted in a recruitment success rate of 70% (Fig. 3). Based on this recruitment success rate of 70%, for the large-scale RCT, 89 individuals need to be eligible to reach the goal of 62 participants. The main challenges of this recruitment process were the small proportion of individuals who could be contacted from the database and the fact that most of the potential participants did not match the eligibility criteria, mainly because they did not have DPN.

Adherence and dropout

The mean number of sessions completed by all IG participants was 24, resulting in a moderate adherence of 66.7% (Fig. 4). Three IG participants (50%) did not complete at least 70% (25 sessions) of the 36 total sessions for the 12-week period (Fig. 4). Only two participants (33%) completed all exercise sessions. The reported reasons for not following the online program were internet problems and a broken cell phone. None of the 14 participants withdrew from the study (0% dropout).

Fig. 4
figure 4

Number of sessions completed by the intervention group participants using SOPeD between baseline and T12

Participants’ satisfaction and safety

Overall, participant satisfaction with the SOPeD therapeutic exercise program was satisfactory, with a median score of 5.0 (IQR: 4.5–5.0) on a 5-point Likert scale (Fig. 5). Furthermore, 87% of the participants gave a score of 4 or 5 on a 5-point Likert-scale for all nine questions assessing satisfaction. Participants considered the SOPeD to be safe, assigning a median score of 5.0 (IQR: 5.0–5.0) on a 5-point Likert scale. The average percentage of positive responses (score of 4 or 5) for the safety assessment by the IG participants was 95.3% (Table 1). No adverse events were reported.

Fig. 5
figure 5

Participant’s satisfaction with the exercise protocol (n = 6). Scores are shown on a 5-point Likert scale. Data are shown as median and interquartile range. Statement number: (1) How satisfied were you with the exercise presentation and clarity? (2) How safe did you feel when performing the exercises without supervision? (3) How satisfied were you with the privacy guaranteed by the SOPeD terms of use? (4) How satisfied were you with the opportunity to express your opinion about the SOPeD? (5) How satisfied were you with the possibility of performing the exercises at flexible and convenient times? (6) How satisfied were you with your feet health after using the SOPeD? (7) How satisfied were you with the SOPeD ability to encourage the continuation of exercising? (8) What was your general satisfaction with the SOPeD? (9) Would you recommend the SOPeD to other people with DM?

Table 2 Baseline participant’s characteristics from the control and intervention groups

Changes in clinical outcomes after the SOPeD intervention

At baseline, the groups were similar for all characteristics and outcomes assessed (Table 2). In the IG, there was an improvement in the FHSQ foot pain after 12 weeks, representing a moderate reduction in the pain sensation and frequency of painful symptoms in the feet (Table 3). The FHSQ footwear domain also improved with a larger difference after 12 weeks. It is interesting to note that there was a subtle decrease in the MNSI score (i.e., an improvement in the DPN symptoms) in the IG after 12 weeks.

Table 3 Clinical outcomes and foot health and functionality of the intervention group, and within-group difference (baseline to 12 weeks)


This feasibility study provided preliminary data from a limited sample of DPN participants for recruitment rates, adherence, satisfaction, and safety of the SOPeD intervention. We identified changes in DPN symptoms and foot-ankle functional improvement in these individuals. Feasibility studies are extremely important for planning RCTs aimed at evaluating novel interventions in new populations or recruitment settings. We emphasize that the results reported in this study have limited external validity and statistical power to infer conclusions beyond the feasibility of a future RCT. The main results confirmed that this study can be considered feasible because the participants were highly satisfied with the 12-week SOPeD intervention (median score of 5.0), they felt safe when performing the exercises (median score of 5.0), and adherence to the internet-based exercise program was moderate (67.7%) with a zero dropout rate. However, the recruitment rate was low (0.83 participants/week) since it should be possible to evaluate five participants per week based on our laboratory availability. Low recruitment was mainly due to the eligibility criteria, and new strategies for improving recruitment must be employed to reduce recruitment time for RTC completion. Although preliminary, the program showed potential improvements in foot pain, footwear, and DPN symptoms between baseline and T12. These results may help in refining the design and other aspects of a larger RCT on the efficacy of an internet-based exercise program in the target population [35, 58, 59].


The first step in recruiting patients to this study was to contact them via telephone to verify eligibility criteria (age, ability to walk independently, and access to an electronic device). The contact rate was low (23%) since most patients did not answer the calls during the recruitment period or there was no telephone number listed. It is worth highlighting that the Hospital das Clínicas of the School of Medicine of the University of São Paulo database has several flaws, including being outdated, not stating additional information on the diabetes and neuropathy status, confirmed telephones, and other potential contacts. Perhaps the time of the calls may have influenced the low contact rate, as patients are likely to be at work during the day when most of the calls were made. In an attempt to improve contact rate, new strategies for reaching potential participants were identified, including the use of social media, partnering with primary health care units, and advertising the study in subway stations in the city of Sao Paulo. Contact success was also low (34%) as most of the participants contacted did not meet the main eligibility criteria (did not have internet access, had recently undergone a surgical procedure, were not able to walk independently, or had severe visual impairments) or did not consent to participate.

The laboratory has the capacity to screen five individuals per week due to limited human resources and equipment, which are shared with other studies simultaneously. The recruitment rate during the 24-week period was approximately one patient per week (0.83), which is far below laboratory capacity. However, the recruitment of 14 patients in this study was reasonable for starting the RCT, and new strategies adopted would potentially increase the recruitment rate in the future of the study. Fourteen out of 20 eligible participants agreed to participate, attended the baseline assessment, and were included in the study, resulting in a recruitment success of 70%.

One of the main concerns when carrying out an RCT is the compliance to the proposed intervention or assessments, and in this study, we obtained a mean adherence of 66.7% and no dropout, which is within our criteria to accept the study as feasible (70% and 30%, respectively). Two participants had a low adherence (< 10 sessions) due to internet problems, one of whom had damaged his cell phone and ended up losing access to the software for a period of time. Although not measured, these two participants reported performing the series of exercises they had already learned even though they were unable to access the software. Because adherence had to be checked by the SOPeD administrator interface, even if these participants did perform the exercises, without this being recorded by the software, we could not register it. It is worth mentioning that the vast majority of studies that include home-based exercise programs use self-reported adherence without describing the validity and reliability of the measurement instruments used [60]. So, if internet problems occur again during the main trial, we will access the adherence to the internet-based exercise program by self-report.

The usual adherence in home-based interventions ranges between 50% and 70% [61], and in treatments for musculoskeletal conditions specifically, the average adherence is 67% [47], which is in line with the findings of our study. Recent systematic reviews describe self-motivation, treatment beliefs, pain during exercise, psychological symptoms (anxiety and depression), social support, and perceived barriers (such as lack of time) as predictors for adherence to home-based rehabilitation [47, 62]. Consistent and reliable support from the physiotherapist and the prescription of simple exercises in small amounts are recommended to increase compliance rates [63]. Our exercise protocol follows these recommendations, as each session lasts approximately 20 to 30 minutes and consists of only eight exercises. Despite the gamification aspects of the SOPeD and the biweekly calls to each participant to improve motivation, adherence is a process influenced by the environment, so it may be shaped by social contexts, as well as motivations and personal knowledge [64].

The exercise protocol in the SOPeD was considered safe, with a median score of 5.0 (IQR: 5.0–5.0), and no adverse events were reported. There is a scarcity of systematized protocols to assess the safety of home-based rehabilitation programs, and most studies only report the occurrence of adverse events [65, 66]. In our study, a questionnaire was systematically developed and validated using the Delphi methodology, which increases the reliability of and confidence in the safety aspects of the protocol.

The IG participants were highly satisfied with the exercise protocol, which received a median score of 5.0 (IQR: 4.5–5.0), and 87% of the participants gave a score of 4.0 or 5.0 for all questions regarding their satisfaction with the SOPeD. A similar web-based exercise programming system was scored positively by 88% of patients with musculoskeletal problems [67], suggesting that this type of intervention is well-accepted and might be an alternative option to face-to-face physiotherapy. It is worth noting that the measure of satisfaction has a ceiling effect, which makes it difficult to detect differences and important aspects that could separate or influence the different levels of satisfaction [48].

Changes in clinical outcomes after the SOPeD intervention

The foot-ankle exercises resulted in a potential negative relationship between the exercises and foot pain, with participants indicating less pain intensity and frequency of painful symptoms in the feet after 12 weeks of intervention. We hypothesized that the pain reduction is due to the strengthening of the foot muscles and increased joint mobility, which can impact load distribution for the overall foot while performing daily living activities, as evidenced in previous studies [12, 13, 15]. The exercises might have increased the flexibility of the musculoskeletal tissues at the foot-ankle structures, reducing painful sensations when moving the distal extremity. A mediation analysis in a future RCT with biomechanical outcomes could reinforce these hypotheses [68, 69]. The footwear domain showed a large effect after 12 weeks, which means participants had less problems regarding the use of footwear. This result might be due to an improvement in foot health, which positively impacted patients’ footwear perception.

Although interpretations of changes in clinical outcomes in this study are limited and should be made with caution, we have also observed potential improvements in DPN symptoms. In this study, the participants’ glycemia and glycated hemoglobin levels were not controlled, so their oscillations may have influenced DPN symptoms.

Amendments in the original protocol and trial registry

Based on the feasibility outcomes, further amendments in the original protocol and trial registry are needed. We initially used the Hospital Anxiety and Depression Scale to detect patients with probable depression, but this measure instrument was not sensitive to this study population and thus will no longer be used as a non-inclusion criterion.

In the study protocol, we described that if an intervention group participant failed to access the software for two consecutive weeks without explanation, that participant would be excluded from the study. However, this will not be done in order to perform the intention-to-treat analysis. In addition, due to internet problems, adherence to the internet-based exercise program will also be assessed by participants’ self-report.


This study showed that an internet-based exercise program using the SOPeD to improve DPN symptoms and foot health and functionality in people with DPN is feasible and further amendments are necessary in the trial registry and protocol. The study showed that despite the low recruitment rate, participants were highly satisfied, they perceived the program to be safe, and there was moderate adherence with zero dropout. The foot-ankle exercise program provided by the SOPeD showed some positive clinical and functional preliminary changes over time, which justifies further assessment of these outcomes in a larger RCT.


The number of participants should vary according to the scope of the problem and the availability of resources. There is little evidence about the ideal number of participants and their effect on the reliability or validity of the consensus in these processes. However, it was observed that the reliability of a judgment is related to a larger number of participants. However, some disadvantages were related to the large number of participants, considering that the number and representativeness of the participants will affect the potential of ideas and the amount of data to be analyzed (Hasson et al., 2000). Many data are not always related to the best quality, and if the sample is not carefully selected, they may not provide the necessary information.

The selection of experts with expertise and who represent a variety of experiences on the subject under study is essential to explore all aspects of the content and to be able to develop an instrument that can really evaluate the safety of the software. Thus, based on the literature, we consider the number of 15 specialists sufficient to achieve the objectives of this validation.

The criteria of Fehring's Diagnostic Content Validation Model (1994) was adapted (Chart 1) and adopted for the selection of the jury of specialists so that the specific knowledge needs were met (Table S1). A minimum score of 5 was considered for the selection of specialists already established in this adopted criterion (Hasson et al., 2000; Galdeano et al., 2008; Melo et al., 2011).

Validation steps

The software safety questionnaire was submitted, in the first round, to the appreciation of 15 specialists, from different training areas and with experience in primary diabetes care as a Physiotherapist, Endocrinologist, Vascular Doctor, Podiatry Nurse, Professional in Physical Education, Psychologist and Occupational Therapist, with technical and clinical knowledge that would enable them to assess the quality and efficiency of the material developed, through an opinion questionnaire. These professionals filled out a digital form in which they agreed with the Informed Consent Form.

Two rounds were held with the 15 specialists. In the first round of Delphi (Figure S1) with DM specialists, 15 judges participated in the assessment, with no loss of participants in the period. A period of 30 days was established for the execution of this step and, after the return, the answers and suggestions were counted, analyzed and, when applicable, implemented.

In the first round, an invitation letter, the personal and professional information questionnaire and a Google Docs link with the items to be evaluated by the specialists and the Informed Consent were sent by e-mail. After obtaining the answers from the expert jury, the researchers obtained consensus and the items were reviewed.

Subsequently, based on the results obtained in the first Delphi round, a second opinion questionnaire was sent to the experts to indicate whether or not they agreed with the solutions for each item evaluated.

Content validation protocol

The first round of the evaluation consisted of a 11 items questionnaire to be evaluated using a 5-point Likert scale (strongly agree, agree, do not agree nor disagree, disagree and strongly disagree), in which, for each item, it was possible to obtain comments considered important from each member of the jury. Thus, individual experience was valued and the questionnaire could be improved based on this assessment.

The experts' form consisted of statements so that they could assess whether the safety questionnaire met the objectives of assessing the understanding, usability, risks and safety of users when using the software.

The return of the first round was analyzed by the researchers and the suggestions and suggested modifications were incorporated into the SOPeD software safety questionnaire. Subsequently, the second round of evaluation was carried out, and the same members of the jury evaluated the changes made. At this stage, the changes should simply be approved or not, and for the final version of the software safety questionnaire to be determined, this level of approval should be at least 70%.

The validation process (Figure S1) took place in two rounds, with the jury of health professionals specialized in the treatment of people with DM and DPN.

Statistical analysis

The data were analyzed using simple descriptive statistics, means, relative and absolute frequencies and content validation index (CVI). The CVI measures the proportion of items marked by four or five (“agree” and “strongly agree”) on the Likert scale, by the judges, of all possible answers (the others are “disagree”, “strongly disagree” and “do not agree nor disagree ”). The score is calculated by adding the agreement of the items marked four or five (Alexandre and Coluci, 2011). The CVI (Figure S2) was calculated only after the first round. For the final validation, after the second round, we used the consensus criterion of approval of 70% for all the modifications implemented in the software safety questionnaire, in an evaluation of “approves” or “does not approve” the changes made in the presented items.


In the first round of the Delphi technique, we obtained a very concise and satisfactory result (Table S2) on the domains that make up the software safety questionnaire with a high degree of agreement.

A high degree of agreement was obtained in the first evaluation round with an average CVI of 0.84. However, the judges suggested several important changes, and these were incorporated (Table S3) resulting in the final version of the safety questionnaire - SOPeD.

All changes suggested and subject to inclusion were implemented in the questionnaire and resubmitted to the jury for reevaluation in the second round of Delphi.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.



Control group


Consolidated Standards of Reporting Trials


Diabetes mellitus


Diabetic peripheral neuropathy


Brazilian version of the Foot-Health Status Questionnaire


Foot care


Hospital Anxiety and Depression Scale


Intervention group


Interquartile range


Brazilian version of the Michigan Neuropathy Screening Instrument


Randomized controlled trial


Sistema de Orientação ao Pé diabético - Diabetic Foot Guidance System


12 weeks

95% CI:

95% confidence interval


  1. Pop-Busui R, Boulton AJM, Feldman EL, Bril V, Freeman R, Malik RA, et al. Diabetic neuropathy: A position statement by the American diabetes association. Diabetes Care. 2017;40:136–54.

    Article  CAS  PubMed  Google Scholar 

  2. Russell JW, MD, MS, FRCP, FACP, FAAN, et al. Diabetic neuropathies. Continuum (Minneap Minn). 2019;68:73–7.

    Google Scholar 

  3. Tesfaye S, Boulton AJM, Dyck PJ, Freeman R, Horowitz M, Kempler P, et al. Diabetic neuropathies: Update on definitions, diagnostic criteria, estimation of severity, and treatments. Diabetes Care. 2010;33:2285–93.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Hicks CW, Selvin E. Epidemiology of Peripheral Neuropathy and Lower Extremity Disease in Diabetes. Curr Diab Rep. 2019;19:1–12.

    Article  CAS  Google Scholar 

  5. Salsich GB, Brown M, Michael M. Relationships Between Plantar Flexor Muscle stiffness, Strength, and Range of Motion in Subjects With Diabetes Peripheral Neuropathy Compared to Age Matched Controls. J Orthop Sport Phys Ther. 2000;30:473–83.

    Article  CAS  Google Scholar 

  6. Johnson JE, Strube MJ, Sinacore DR, Bohnert KL, Prior FW, Gutekunst DJ, et al. Neuropathic midfoot deformity: associations with ankle and subtalar joint motion. J Foot Ankle Res. 2013;6:1 Available from: Journal of Foot and Ankle Research.

    CAS  Google Scholar 

  7. Gomes AA, Onodera AN, Otuzi MEI, Pripas D, Mezzarane RA, Sacco ICN. Electromyography and kinematic changes of gait cycle at different cadences in diabetic neuropathic individuals. Muscle and Nerve. 2011;44:258–68.

    Article  PubMed  Google Scholar 

  8. Andersen H, Gjerstad MD, Jakobsen J. Atrophy of foot muscles: A measure of diabetic neuropathy. Diabetes Care. 2004;27:2382–5.

    Article  PubMed  Google Scholar 

  9. Cheuy VA, Hastings MK, Commean PK, Ward SR, Mueller MJ. Intrinsic foot muscle deterioration is associated with metatarsophalangeal joint angle in people with diabetes and neuropathy. Clin Biomech. 2013;28:1055–60.

    Article  Google Scholar 

  10. Mahieu R, Coenen MNO, van Bemmel T, van der Zaag-Loonen HJ, Theuvenet WJ. Detecting intrinsic muscle weakness of the hallux as an addition to early-stage screening of the feet in patients with diabetes. Diabetes Res Clin Pract. 2016;119:83–7.

    Article  CAS  PubMed  Google Scholar 

  11. van Netten JJ, Sacco ICN, Lavery LA, Monteiro-Soares M, Rasmussen A, Raspovic A, et al. Treatment of modifiable risk factors for foot ulceration in persons with diabetes: a systematic review. Diabetes Metab Res Rev. 2020;36:1–19.

    Google Scholar 

  12. Sartor CD, Hasue RH, Cacciari LP, Butugan MK, Watari R, Pássaro AC, et al. Effects of strengthening , stretching and functional training on foot function in patients with diabetic neuropathy : results of a randomized controlled trial. BMC Musculoskelet Disord. 2014;15:1–13.

    Article  Google Scholar 

  13. Kanchanasamut W, Pensri P. Effects of weight-bearing exercise on a mini-trampoline on foot mobility, plantar pressure and sensation of diabetic neuropathic feet; a preliminary study. Diabet Foot Ankle. 2017;8:1–9 Available from:

    Article  Google Scholar 

  14. Goldsmith JR, Lidtke RH, Shott S. The effects of range-of-motion therapy on the plantar pressures of patients with diabetes mellitus. J Am Podiatr Med Assoc. 2002;92:483–90.

    Article  PubMed  Google Scholar 

  15. Allet L, Armand S, De Bie RA, Golay A. The gait and balance of patients with diabetes can be improved : a randomised controlled trial. Diabetologia. 2010;53:458–66.

    Article  CAS  PubMed  Google Scholar 

  16. Kruse RL, Lemaster JW, Richard W. Research Report Fall and Balance Outcomes After an Intervention to Promote Leg Strength , Balance , and Walking in People With Diabetic Peripheral Neuropathy : “ Feet First ” Randomized Controlled Trial. Phys Ther. 2010;90:1568–79.

    Article  PubMed  Google Scholar 

  17. Cerrahoglu L, Koşan U, Sirin TC, Ulusoy A. Range of Motion and Plantar Pressure Evaluation for the Effects of Self-Care Foot Exercises on Diabetic Patients with and Without Neuropathy. J Am Podiatr Med Assoc. 2016;106:189–200.

    Article  PubMed  Google Scholar 

  18. Bus SA, Lavery LA, Monteiro-Soares M, Rasmussen A, Raspovic A, Sacco ICN, et al. Guidelines on the prevention of foot ulcers in persons with diabetes (IWGDF 2019 update). Diab Metab Res Rev. 2020;36:3269.

  19. Bassett S. The assessment of patient adherence to physiotherapy rehabilitation. New Zeal J Physiother. 2003;31:60–6.

    Google Scholar 

  20. Jack K, McLean SM, Moffett JK, Gardiner E. Barriers to treatment adherence in physiotherapy outpatient clinics: A systematic review. Man Ther. 2010;15:220–8.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Blanchard CM, Courneya KS, Rodgers WM, Fraser SN, Murray TC, Daub B, et al. Is the theory of planned behavior a useful framework for understanding exercise adherence during phase II cardiac rehabilitation? J Cardiopulm Rehabil. 2003;23:29–39.

    Article  PubMed  Google Scholar 

  22. Cranen K, Drossaert CHC, Brinkman ES, Braakman-Jansen ALM, Ijzerman MJ, Vollenbroek-Hutten MMR. An exploration of chronic pain patients’ perceptions of home telerehabilitation services. Heal Expect. 2012;15:339–50.

    Article  Google Scholar 

  23. Brennan D, Tindall L, Theodoros D, Brown J, Campbell M, Christiana D, et al. A Blueprint for Telerehabilitation Guidelines. Int J Telerehabilitation. 2010;2:31–4.

    Article  Google Scholar 

  24. van Egmond MA, van der Schaaf M, Vredeveld T, Vollenbroek-Hutten MMR, van Berge Henegouwen MI, Klinkenbijl JHG, et al. Effectiveness of physiotherapy with telerehabilitation in surgical patients: a systematic review and meta-analysis. Physiother (United Kingdom). Chartered Soc Physiother. 2018;104:277–98.

    Google Scholar 

  25. Appleby E, Gill ST, Hayes LK, Walker TL, Walsh M, Kumar S. Effectiveness of telerehabilitation in the management of adults with stroke: A systematic review. PLoS One. 2019;14:1–18.

    Article  Google Scholar 

  26. Hosseiniravandi M, Kahlaee AH, Karim H, Ghamkhar L, Safdari R. Home-based telerehabilitation software systems for remote supervising: A systematic review. Int J Technol Assess Health Care. 2020;36:113–25.

    Article  PubMed  Google Scholar 

  27. Bennell KL, Nelligan R, Dobson F, Rini C, Keefe F, Kasza J, et al. Effectiveness of an internet-delivered exercise and pain-coping skills training intervention for persons with chronic knee pain: A randomized trial. Ann Intern Med. 2017;166:453–62.

    Article  PubMed  Google Scholar 

  28. Basatneh R, Najafi B, Armstrong DG. Health Sensors, Smart Home Devices, and the Internet of Medical Things: An Opportunity for Dramatic Improvement in Care for the Lower Extremity Complications of Diabetes. J Diabetes Sci Technol. 2018;12:577–86.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Najafi B, Reeves ND, Armstrong DG. Leveraging smart technologies to improve the management of diabetic foot ulcers and extend ulcer-free days in remission. Diabetes Metab Res Rev. 2020;36:1–7.

    Article  Google Scholar 

  30. Sacco ICN, Sartor CD. From treatment to preventive actions: improving function in patients with diabetic polyneuropathy. Diabetes Metab Res Rev. 2016;32:206–12.

    Article  PubMed  Google Scholar 

  31. American diabetes association, et al. Strategies for improving care. Diabetes Care. 2016;39:S6–12.

    Article  Google Scholar 

  32. Ferreira JSSP, Sacco ICN, Siqueira AA, Almeida MHM, Sartor CD. Rehabilitation technology for self-care: Customised foot and ankle exercise software for people with diabetes. PLoS One. 2019;14:1–15.

    Article  Google Scholar 

  33. Cyarto EV, Brown WJ, Marshall AL. Retention , adherence and compliance : Important considerations for home- and group-based resistance training programs for older adults. J Sci Med Sport. 2006;9:402–12.

    Article  PubMed  Google Scholar 

  34. McGinley JL, Martin C, Huxham FE, Menz HB, Danoudis M, Murphy AT, et al. Feasibility, safety, and compliance in a randomized controlled trial of physical therapy for parkinson’s disease. Parkinsons Dis. 2012;1:1–8.

  35. Whyte J, Gordon W, Gonzalez Rothi LJ. A Phased Developmental Approach to Neurorehabilitation Research: The Science of Knowledge Building. Arch Phys Med Rehabil. 2009;90:S3–10.

    Article  PubMed  Google Scholar 

  36. Whyte J, Barrett AM. Advancing the Evidence Base of Rehabilitation Treatments: A Developmental Approach. Arch Phys Med Rehabil. 2012;93:S101–10.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Johnson EJ, Niles BL, Mori DL. Targeted recruitment of adults with type 2 diabetes for a physical activity intervention. Diabetes Spectr. 2015;28:99–105.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Eakin EG, Reeves MM, Lawler SP, Oldenburg B, Del Mar C, Wilkie K, et al. The Logan Healthy Living Program: A cluster randomized trial of a telephone-delivered physical activity and dietary behavior intervention for primary care patients with type 2 diabetes or hypertension from a socially disadvantaged community - Rationale, d. Contemp Clin Trials. 2008;29:439–54.

    Article  PubMed  Google Scholar 

  39. Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, et al. CONSORT 2010 statement: Extension to randomised pilot and feasibility trials. Pilot Feasibility Stud. Pilot Feasibility Stud. 2016;2:1–32.

    Article  Google Scholar 

  40. Picon AP, Ortega NRS, Watari R, Sartor C, Sacco ICN. Classification of the severity of diabetic neuropathy: A new approach taking uncertainties into account using fuzzy logic. Clinics. 2012;67:151–6.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Watari R, Sartor CD, Picon AP, Butugan MK, Amorim CF, Ortega NRS, et al. Effect of diabetic neuropathy severity classified by a fuzzy model in muscle dynamics during gait. J Neuroeng Rehabil. 2014;11:1–9.

    Article  Google Scholar 

  42. Altman DG, Bland JM. How to randomise. Br Med J. 1999;319:703–4.

    Article  CAS  Google Scholar 

  43. Schaper NC, van Netten JJ, Apelqvist J, Bus SA, Hinchliffe RJ, Lipsky BA. Practical Guidelines on the prevention and management of diabetic foot disease (IWGDF 2019 update). Diabetes Metab Res Rev. 2020;36:1–10.

    Article  Google Scholar 

  44. King D, Greaves F, Exeter C, Darzi A. “Gamification”: Influencing health behaviours with games. J R Soc Med. 2013;106:76–8.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Ferreira JSSP, Cruvinel Junior RH, Silva EQ, Veríssimo JL, Monteiro RL, Pereira DS, et al. Study protocol for a randomized controlled trial on the effect of the Diabetic Foot Guidance System (SOPeD) for the prevention and treatment of foot musculoskeletal dysfunctions in people with diabetic neuropathy: The FOotCAre (FOCA) trial i. Trials. Trials. 2020;21:1–14.

    Google Scholar 

  46. Lopienski K. Retention in clinical trials–keeping patients on protocols. Forte Research Systems. 2015. Available in: Accessed 29 July 2020.

  47. Peek K, Sanson-Fisher R, Mackenzie L, Carey M. Interventions to aid patient adherence to physiotherapist prescribed self-management strategies: A systematic review. Physiother (United Kingdom). Chartered Soc Physiother. 2016;102:127–35.

    Google Scholar 

  48. Hudak PL, Wright JG. The characteristics of patient satisfaction measures. Spine (Phila Pa 1976). 2000;25:3167–77.

    Article  CAS  Google Scholar 

  49. Canning CG, Ada L, Johnson JJ, McWhirter S. Walking capacity in mild to moderate Parkinson’s disease. Arch Phys Med Rehabil. 2006;87:371–5.

    Article  PubMed  Google Scholar 

  50. Porter MM. Power training for older adults. Appl Physiol Nutr Metab. 2006;31:87–94.

    Article  PubMed  Google Scholar 

  51. Lima LO, Rodrigues-de-Paula F. Recruitment rate, feasibility and safety of power training in individuals with Parkinson’s disease: a proof-of-concept study. Brazilian J Phys Ther. 2013;17:49–56.

    Article  Google Scholar 

  52. Sartor CD, Oliveira MD, Campos V, Ferreira JSSP, Sacco ICN. Cross-cultural adaptation and measurement properties of the Brazilian Version of the Michigan Neuropathy Screening Instrument. Brazilian J Phys Ther. 2018;22:222–30.

    Article  Google Scholar 

  53. Ferraz MB, Kowalski SC, Tanaka C, Ferreira AFB, Laurindo IMM, Rodrigues PT. Brazilian version of the foot health status questionnaire (FHSQ-BR): cross-cultural adaptation and evaluation of measurement properties. Clinics. 2008;63:595–600.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: Recommendations for good practice. J Eval Clin Pract. 2004;10:307–12.

    Article  PubMed  Google Scholar 

  55. Burrows RF, Gan ET, Gallus AS, Wallace EM, Burrows EA. A randomised double-blind placebo controlled trial of low molecular weight heparin as prophylaxis in preventing venous thrombolic events after caesarean section: A pilot study. Br J Obstet Gynaecol. 2001;108:835–9.

    CAS  Google Scholar 

  56. Ross-McGill H, Hewison J, Hirst J, Dowswell T, Holt A, Brunskill P, et al. Antenatal home blood pressure monitoring: A pilot randomised controlled trial. Br J Obstet Gynaecol. 2000;107:217–21.

    Article  CAS  Google Scholar 

  57. Stevinson C, Ernst E. A pilot study of Hypericum perforatum for the treatment of premenstrual syndrome Clare. Br J Obstet Gynaecol. 2000;107:870–6.

    Article  CAS  Google Scholar 

  58. Whyte J. A Grand Unified Theory of Rehabilitation (We Wish!). The 57th John Stanley Coulter Memorial Lecture. Arch Phys Med Rehabil. 2008;89:203–9.

    Article  PubMed  Google Scholar 

  59. El-Kotob R, Giangregorio LM. Pilot and feasibility studies in exercise, physical activity, or rehabilitation research. Pilot Feasibility Stud. 2018;4:1–7.

    Article  Google Scholar 

  60. Bollen JC, Dean SG, Siegert RJ, Howe TE, Goodwin VA. A systematic review of measures of self-reported adherence to unsupervised home-based rehabilitation exercise programmes, and their psychometric properties. BMJ Open. 2014;4(6):e005044.

  61. Argent R, Daly A, Caulfield B. Patient involvement with home-based exercise programs: Can connected health interventions influence adherence? JMIR mHealth uHealth. 2018;6(3):e47.

  62. Essery R, Geraghty AWA, Kirby S, Yardley L. Predictors of adherence to home-based physical therapies: a systematic review. Disabil Rehabil. 2017;39:519–34.

    Article  PubMed  Google Scholar 

  63. Bachmann C, Oesch P, Bachmann S. Recommendations for Improving Adherence to Home-Based Exercise: A Systematic Review. Phys Medizin, Rehabil Kurortmedizin. 2018;28:20–31.

    Article  Google Scholar 

  64. McKay CD, Verhagen E. “Compliance” versus “adherence” in sport injury prevention: Why definition matters. Br J Sports Med. 2016;50:382–3.

    Article  PubMed  Google Scholar 

  65. Suttanon P, Hill KD, Said CM, Williams SB, Byrne KN, Logiudice D, et al. Feasibility, safety and preliminary evidence of the effectiveness of a home-based exercise programme for older people with Alzheimer’s disease: A pilot randomized controlled trial. Clin Rehabil. 2013;27:427–38.

    Article  PubMed  Google Scholar 

  66. Florez-García M, García-Pérez F, Curbelo R, Pérez-Porta I, Nishishinya B, Rosario Lozano MP, et al. Efficacy and safety of home-based exercises versus individualized supervised outpatient physical therapy programs after total knee arthroplasty: a systematic review and meta-analysis. Knee Surgery, Sport Traumatol Arthrosc. 2017;25:3340–53.

    Article  Google Scholar 

  67. Bennell KL, Marshall CJ, Dobson F, Kasza J, Lonsdale C, Hinman RS. Does a Web-Based Exercise Programming System Improve Home Exercise Adherence for People with Musculoskeletal Conditions?: A Randomized Controlled Trial. Am J Phys Med Rehabil. 2019;98:850–8.

    Article  PubMed  Google Scholar 

  68. Lee H, Herbert RD, McAuley JH. Mediation Analysis. JAMA. 2019;321:697–8.

    Article  PubMed  Google Scholar 

  69. Kraemer HC, Wilson GT, Fairburn CG, Agras WS. Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiatry. 2002;59:877–83.

    Article  PubMed  Google Scholar 

Download references


The authors would like to thank Ana Claudia Latronico Xavier and the Department of Clinical Medical for supporting us with a database of diabetic patients at Hospital das Clínicas, School of Medicine, University of São Paulo. The authors are grateful to Alisson Amorim Siqueira for the help with the web-based software development and update.


This work is supported by National Council for Scientific and Technological Development, Brazil (CNPq) [28/2018 FOCA Trial 407252/2018-5]. Beteli is awarded by CNPq [119178/2019-2]. Queiroz and Veríssimo are awarded by Agency Coordination of Improvement of Higher Education Personnel (CAPES, financial code 001). Cruvinel Júnior, Ferreira, Monteiro, and Suda are awarded by Sao Paulo Research Foundation (FAPESP) [2019/06405-9, 2019/02522-0, 2017/17848-3, 2017/15449-4, respectively]. Sacco is a fellow of the CNPq (Process: 304124/2018-4). The funders do not have any role in the study and do not have any authority over any study activity or in the decision to submit the report for publication.

Author information

Authors and Affiliations



All authors have made substantial contributions to all three sections: (1) the conception and design of the study, or acquisition of data, or analysis and interpretation of data, (2) drafting the article or revising it critically for important intellectual content, and (3) final approval of the version to be submitted. In this feasibility study, the following roles were played by the authors: CJRH is responsible for the study design, interpretation of the data, writing the report, submission of the manuscript, and management. JSSPF, JLV, RIB, and ESQ are responsible for the study design, data collection, analysis, and interpretation, writing the report, and submission of the manuscript. ICNS is responsible for the study design, interpretation of the data, writing the report, and submission of the manuscript. EYS and RLM contributed to the drafting and revision of the manuscript. All authors read, provided feedback, and approved the final manuscript.

Corresponding author

Correspondence to Isabel C. N. Sacco.

Ethics declarations

Ethics approval and consent to participate

The trial was approved by the research ethics committee of the School of Medicine of the University of Sao Paulo (CAAE: 90331718.4.0000.0065). The principal investigator explained to each eligible participant all stages of the study, possible risks, and expected benefits. Upon agreeing to participate, they were asked to sign the Free and Informed Consent Form.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

Validation process for the safety questionnaire - soped by the delphi methodology.

Additional file 2: Figure S1.

Flowchart for content validation of the safety questionnaire - SOPeD with DM specialists.

Additional file 3: Figure S2.

Formula used to perform content validity (Alexandre and Coluci, 2011) in the 5-point Likert assessments.

Additional file 4: Table S1.

Characterization of the experts who participated as a jury in the safety questionnaire -SOPeD validation process.

Additional file 5: Table S2.

General result of the first round of the Delphi method using the Likert scale for analysis of agreement.

Additional file 6: Table S3.

Final approval of the changes made to the safety questionnaire - SOPeD based on the suggestions made by the juries.

Additional file 7: Chart 1.

Adaptation of the expert scoring system, according to the Fehring content validation model (Fehring 1987).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cruvinel Júnior, R.H., Ferreira, J.S.S.P., Beteli, R.I. et al. Foot-ankle functional outcomes of using the Diabetic Foot Guidance System (SOPeD) for people with diabetic neuropathy: a feasibility study for the single-blind randomized controlled FOotCAre (FOCA) trial I. Pilot Feasibility Stud 7, 87 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: