Evidence-based interventions for identifying candidate quality indicators to assess quality of care in diabetic foot clinics: a scoping review.

BACKGROUND: Foot ulcers in people with diabetes are a serious complication requiring a complex management and have a high societal impact. Quality monitoring systems to optimize diabetic foot care exist, but a formal and more evidence-based approach to develop quality indicators (QIs) is lacking. We aimed to identify a set of candidate indicators for diabetic foot care by adopting an evidence-based methodology. METHODS: A systematic search was conducted across four academic databases: PubMed, Embase CINAHL and Cochrane Library. Studies that reported evidence-based interventions related to organization or delivery of diabetic foot care were searched. Data from the eligible studies were summarized and used to formulate process and structure indicators. The evidence for each candidate QI was described in a methodical and transparent manner. The review process was reported according to the "Preferred Reported Items for Systematic reviews and Meta-Analysis" (PRISMA) statements and its extension for scoping reviews. RESULTS: In total, 981 full-text articles were screened, and 322 clinical studies were used to formulate 42 candidate QIs. CONCLUSIONS: An evidence-based approach could be used to select candidate indicators for diabetic foot ulcer care, relating to the following domains: wound healing interventions, peripheral artery disease, offloading, secondary prevention, and interventions related to organization of care. In a further step, the feasibility of the identified set of indicators will be assessed by a multidisciplinary panel of diabetic foot care stakeholders.

A multidisciplinary Delphi consensus to define evidence-based quality indicators for diabetic foot ulcer care.

BACKGROUND: Valid measures to assess quality of care delivered to patients with diabetes suffering from diabetic foot ulcer (DFU) are scarce. This study aimed to achieve consensus on relevant and feasible quality indicators (QIs) among stakeholders involved in DFU care and was conducted as the second part of a Belgian QI selection study that sought to identify QIs for DFU care. METHODS: A stakeholder panel, including caregivers from primary care and specialized disciplines active in diabetic foot care as well as a patient organization representative, was recruited. By using the RAND/UCLA Appropriateness Method, stakeholders were asked to rate a list of 42 candidate evidence-based indicators for appropriateness through a 9-point Likert scale. QIs were classified based on the median ratings and the disagreement index, calculated by the inter-percentile range adjusted for symmetry. RESULTS: At the end of a three-phase process, 17 QIs were judged as appropriate. Among them, five were not previously described, covering the following topics: integration of wound care specialty in the multidisciplinary team, systematic evaluation of the nutritional status of the patient, administration of low-density lipoprotein-cholesterol lowering medication and protocolized care (implementation of care and prevention management protocols). CONCLUSIONS: The identified evidence-based QIs provide an assessment tool to evaluate and monitor quality of care delivered to DFU patients. Future research should focus on their complementarity with the existing QIs and their implementation in clinical practice.

Multi-segment foot kinematics during running and its association with striking patterns.

There is an ongoing debate regarding the advantages and harms of different running striking patterns. The purpose of this study was to explore the kinematic differences between running with a midfoot- and rearfoot striking (RFS) pattern.Multi-segment foot kinematics of 12 students were assessed while running barefoot at 3.3 m/s (±10%) using a passive optoelectronic motion analysis system. Participants performed multiple running trials while landing on the rearfoot and midfoot. Comparison of the kinematic waveforms was performed using one-dimensional statistical parametric mapping (1DSPM) (paired t-test). The inter-segment angle between the shank and calcaneus was found to be significantly more plantar-flexed, more inverted and more adducted in the midfoot striking (MFS) condition compared to the RFS pattern. The calcaneus-midfoot inter-segment angle was found to be more plantar-flexed in the MFS condition. The downward angulation of the metatarsals and the medial longitudinal arch angle in the late swing phase was found to be more pronounced during MFS. Differences between midfoot and RFS patterns occur in the first sub-phase of stance (0-50% of the stance phase).These findings may be of interest for the kinesiopathological or pathokinesiological reasoning processes when facing foot- and lower limb-related running injuries.

Bottom-up approach to build a 'precision' risk factor classification for diabetic foot ulcer healing. Proof-of-concept.

AIMS: Diabetic foot ulcers (DFU) have a complex multifactorial pathophysiology. It is crucial to identify essential prognostic variables to streamline therapeutic actions and quality-of-care audits. Although SINBAD and University of Texas (UT), the most frequently used prognostic classification systems, were prospectively validated, not all individual parameters were shown to have consistent associations with healing. In this study, we used a bottom-up approach relying on robust methods to identify independent predictors of DFU healing. METHODS: 1,664 DFU patients were included by 34 Belgian diabetic foot clinics (DFCs). Twenty-one patient- and foot-related characteristics were recorded at presentation. Predictors of healing were identified using multivariable Cox proportional hazard regression. Multivariable models were built using backward regression with multiple imputation of missing values and bootstrapping. RESULTS: Five essential independent variables were identified: presentation delay, history of minor amputation, ulcer location, surface area and ischemia. This 5 variable-model showed a better performance compared to models based on existing classification systems. CONCLUSIONS: A bottom-up approach was used to build a prognostic classification for DFU healing based on large databases. It offers new insights and allows to tailor the classification to certain clinical settings. These 5 parameters could be used as a 'precision classification' for specialized DFCs.

Foot and ankle kinematics in chronic ankle instability subjects using a midfoot strike pattern when running, including influence of taping.

BACKGROUND: Investigate differences in multi-segment foot kinematics between controls and participants with chronic ankle instability during running with a midfoot striking pattern and to evaluate the effect of Low-Dye and High-Dye taping. METHODS: Three-dimensional multi-segment foot kinematics of 12 controls and 15 participants with chronic ankle instability were collected while running barefoot, and in both taping conditions. Ranges of motion occurring at each joint, each sub phase of stance, were compared between groups and between taping conditions (0-dimensional inference). Kinematic data were also compared using one-dimensional statistical parametric mapping. FINDINGS: The symptomatic group demonstrated while barefoot running a significantly decreased rearfoot dorsiflexion range of motion during the peak impact phase as well as a less dorsiflexed position from 6 to 12% of the running cycle. During the absorption and generation phase, the symptomatic group also showed a significantly increased rearfoot dorsiflexion and adduction motion as well as an increased midfoot inversion motion. In the peak impact phase of both taping conditions, a decreased midfoot inversion motion was found. The High-Dye taping resulted in a decreased rearfoot plantarflexion motion whereas the Low-Dye caused a decreased midfoot inversion motion. INTERPRETATION: Persons with chronic ankle instability seem to have altered rearfoot and midfoot kinematics while running with a midfoot striking index. High-Dye taping seems to have better therapeutic features than Low-Dye taping.

Foot segmental mobility during subphases of running: Comparative study between two striking patterns.

OBJECTIVES: The literature lacks comparative data regarding foot segmental mobility in rearfoot (RFS) and midfoot striking (MFS) patterns. The aim of the study is to quantify the foot segmental mobility during distinct subphases of stance in presence of both striking patterns. METHODS: Twelve participants were instructed to run barefoot at a constant speed of 3.3m/s on a 10-m walkway, while adopting a RFS and a MFS pattern. Multi-segment foot mobility during the impact phase, the absorption phase and the generation phase was subsequently calculated and compared between both conditions. RESULTS: In the impact phase of the MFS trials, a higher sagittal plane range of motion was observed between shank and calcaneus (RFS=6.2°, MFS=14.5°, p<0.0001), between calcaneus and midfoot (RFS=1.9°, MFS=5.6°, p=0.002) as well as between the calcaneus and metatarsus (RFS=2.4°, MFS=4.9°, p=0.0015). In the absorption phase of the MFS trials, a higher frontal plane range of motion (RFS=1.3°, MFS=2.1°, p=0.004) and a lower sagittal plane range of motion (RFS=6.5°, MFS=4.3°, p=0.004) was observed between the calcaneus and metatarsus. CONCLUSION: This study revealed that approximately 50% of the rearfoot range of motion has been observed in the midfoot when running with both striking patterns, although the highest ROM was observed in the rearfoot. This finding highlights that the rebounding effect of the human body results not only from absorption and generation within major joints of the lower limb but also from smaller joints in the foot.

Estimation of foot joint kinetics in three and four segment foot models using an existing proportionality scheme: Application in paediatric barefoot walking.

Recent studies which estimated foot segment kinetic patterns were found to have inconclusive data on one hand, and did not dissociate the kinetics of the chopart and lisfranc joint. The current study aimed therefore at reproducing independent, recently published three-segment foot kinetic data (Study 1) and in a second stage expand the estimation towards a four-segment model (Study 2). Concerning the reproducibility study, two recently published three segment foot models (Bruening et al., 2014; Saraswat et al., 2014) were reproduced and kinetic parameters were incorporated in order to calculate joint moments and powers of paediatric cohorts during gait. Ground reaction forces were measured with an integrated force/pressure plate measurement set-up and a recently published proportionality scheme was applied to determine subarea total ground reaction forces. Regarding Study 2, moments and powers were estimated with respect to the Instituto Ortopedico Rizzoli four-segment model. The proportionality scheme was expanded in this study and the impact of joint centre location on kinetic data was evaluated. Findings related to Study 1 showed in general good agreement with the kinetic data published by Bruening et al. (2014). Contrarily, the peak ankle, midfoot and hallux powers published by Saraswat et al. (2014) are disputed. Findings of Study 2 revealed that the chopart joint encompasses both power absorption and generation, whereas the Lisfranc joint mainly contributes to power generation. The results highlights the necessity for further studies in the field of foot kinetic models and provides a first estimation of the kinetic behaviour of the Lisfranc joint.

Foot segmental motion and coupling in stage II and III tibialis posterior tendon dysfunction.

BACKGROUND: Classification systems developed in the field of posterior tibialis tendon dysfunction omit to include dynamic measurements. Since this may negatively affect the selection of the most appropriate treatment modality, studies on foot kinematics are highly recommended. Previous research characterised the foot kinematics in patients with posterior tibialis tendon dysfunction. However, none of the studies analysed foot segmental motion synchrony during stance phase, nor compared the kinematic behaviour of the foot in presence of different posterior tibialis tendon dysfunction stages. Therefore, we aimed at comparing foot segmental motion and coupling in patients with posterior tibialis tendon dysfunction grade 2 and 3 to those of asymptomatic subjects. METHODS: Foot segmental motion of 11 patients suffering from posterior tibialis tendon dysfunction stage 2, 4 patients with posterior tibialis tendon dysfunction stage 3 and 15 asymptomatic subjects was objectively quantified with the Rizzoli foot model using an instrumented walkway and a 3D passive motion capture system. Dependent variables were the range of motion occurring at the different inter-segment angles during subphases of stance and swing phase as well as the cross-correlation coefficient between a number of segments. RESULTS: Significant differences in range of motion were predominantly found during the forefoot push off phase and swing phase. In general, both patient cohorts demonstrated a reduced range of motion compared to the control group. This hypomobility occurred predominantly in the rearfoot and midfoot (p<0.01). Significant differences between both posterior tibialis tendon dysfunction patient cohorts were not revealed. Cross-correlation coefficients highlighted a loss of joint coupling between rearfoot and tibia as well as between rearfoot and forefoot in both posterior tibialis tendon dysfunction groups. INTERPRETATION: The current evidence reveals considerable mechanical alterations in the foot which should be considered in the decision making process since it may help explaining the success and failure of certain conservative and surgical interventions.

3D Multi-segment foot kinematics in children: A developmental study in typically developing boys.

BACKGROUND: The relationship between age and 3D rotations objectivized with multisegment foot models has not been quantified until now. The purpose of this study was therefore to investigate the relationship between age and multi-segment foot kinematics in a cross-sectional database. METHODS: Barefoot multi-segment foot kinematics of thirty two typically developing boys, aged 6-20 years, were captured with the Rizzoli Multi-segment Foot Model. One-dimensional statistical parametric mapping linear regression was used to examine the relationship between age and 3D inter-segment rotations of the dominant leg during the full gait cycle. RESULTS: Age was significantly correlated with sagittal plane kinematics of the midfoot and the calcaneus-metatarsus inter-segment angle (p<0.0125). Age was also correlated with the transverse plane kinematics of the calcaneus-metatarsus angle (p<0.0001). CONCLUSION: Gait labs should consider age related differences and variability if optimal decision making is pursued. It remains unclear if this is of interest for all foot models, however, the current study highlights that this is of particular relevance for foot models which incorporate a separate midfoot segment.

Efficacy measures associated to a plantar pressure based classification system in diabetic foot medicine.

AIMS: The concept of 'classification' has, similar to many other diseases, been found to be fundamental in the field of diabetic medicine. In the current study, we aimed at determining efficacy measures of a recently published plantar pressure based classification system. METHODS: Technical efficacy of the classification system was investigated by applying a high resolution, pixel-level analysis on the normalized plantar pressure pedobarographic fields of the original experimental dataset consisting of 97 patients with diabetes and 33 persons without diabetes. Clinical efficacy was assessed by considering the occurence of foot ulcers at the plantar aspect of the forefoot in this dataset. Classification efficacy was assessed by determining the classification recognition rate as well as its sensitivity and specificity using cross-validation subsets of the experimental dataset together with a novel cohort of 12 patients with diabetes. RESULTS: Pixel-level comparison of the four groups associated to the classification system highlighted distinct regional differences. Retrospective analysis showed the occurence of eleven foot ulcers in the experimental dataset since their gait analysis. Eight out of the eleven ulcers developed in a region of the foot which had the highest forces. Overall classification recognition rate exceeded 90% for all cross-validation subsets. Sensitivity and specificity of the four groups associated to the classification system exceeded respectively the 0.7 and 0.8 level in all cross-validation subsets. CONCLUSIONS: The results of the current study support the use of the novel plantar pressure based classification system in diabetic foot medicine. It may particularly serve in communication, diagnosis and clinical decision making.

Effect of taping on foot kinematics in persons with chronic ankle instability.

OBJECTIVES: To investigate differences in rigid-foot and multi-segmental foot kinematics between healthy (control) and chronic ankle instability (CAI) participants during running and to evaluate the effect of low-Dye (LD) and high-Dye (HD) taping on foot kinematics of CAI subjects. DESIGN: Cross-sectional, comparative study. METHODS: Kinematic data of 12 controls and 15 CAI participants were collected by a 3D motion analysis system during running. CAI participants performed barefoot (CAI_BF) running trials as well as trials with taping. A rigid Plug-in gait Model and the Rizzoli 3D Multi-Segment Foot Model were used. Groups were compared using one-dimensional statistical parametric mapping. RESULTS: An increased inversion, a decreased dorsiflexion between the foot and tibia and a decreased external foot progression angle were found during terminal swing and early stance in the CAI_BF group. With respect to the taped conditions, post-hoc SPM{t} calculations highlighted a more dorsiflexed rearfoot (38-46% running cycle) in the CAI_HD compared to the CAI_LD, and a more inverted Mid-Met angle (6-24% running cycle) in the CAI_LD compared to the CAI_BF condition. CONCLUSIONS: This study revealed significant differences in rigid foot and multi-segmental foot kinematics between all groups. As high-dye taping embraces shank-rearfoot and forefoot, it seems to have better therapeutic features with respect to low-dye taping as the latter created a more inverted forefoot which may not be recommended in this population.

A Novel Method of Quantifying Gait Deviations Using Plantar Pressure Patterns.

BACKGROUND: Comparing the dynamic pedobarographic patterns of individuals is common practice in basic and applied research. However, this process is often time-consuming and complex, and commercially available software often lacks powerful visualization and interpretation tools. METHODS: We propose a simple method for displaying pixel-level pedobarographic deviations over time relative to a so-called reference pedobarographic pattern. This novel method contains four distinct automated preprocessing stages: 1) normalization of pedobarographic fields (for foot length and width), 2) temporal normalization, 3) a pixel-level z-score-based calculation, and 4) color coding of the normalized pedobarographic fields. Group and patient-level comparisons were illustrated using an experimental data set including diabetic and nondiabetic patients. RESULTS: The automated procedure was found to be robust and quantified distinct temporal deviations in pedobarographic fields. CONCLUSIONS: The advantages of the novel method cover several domains, including visualization, interpretation, and education.

A color-code based method for the interpretation of plantar pressure measurements in clinical gait analysis.

Comparing plantar pressure measurements (PPM) of a patient following an intervention or between a reference group and a patient-group is common practice in clinical gait analysis. However, this process is often time consuming and complex, and commercially available software often lacks powerful visualization and interpretation tools. In this paper, we propose a simple method for displaying pixel-level PPM deviations relative to a so-called reference PPM pattern. The novel method contains 3 distinct stages: (1) a normalization of pedobarographic fields (for foot length and width), (2) a pixel-level z-score based calculation and, (3) color coding of the normalized pedobarographic fields. The methodological steps associated to this novel method are precisely described and clinical output illustrated. We believe that the advantages of the novel method cover several domains. The strongest advantage of the novel method is that it provides a straightforward visual interpretation of PPM without decreasing the resolution perspective. A second advantage is that it may guide the selection of a local mapping technique (data reduction technique). Finally, it may be easily used as education tool during the therapist-patient interaction.

Classification of forefoot plantar pressure distribution in persons with diabetes: a novel perspective for the mechanical management of diabetic foot?

BACKGROUND: The aim of this study was to identify groups of subjects with similar patterns of forefoot loading and verify if specific groups of patients with diabetes could be isolated from non-diabetics. METHODOLOGY/PRINCIPAL FINDINGS: Ninety-seven patients with diabetes and 33 control participants between 45 and 70 years were prospectively recruited in two Belgian Diabetic Foot Clinics. Barefoot plantar pressure measurements were recorded and subsequently analysed using a semi-automatic total mapping technique. Kmeans cluster analysis was applied on relative regional impulses of six forefoot segments in order to pursue a classification for the control group separately, the diabetic group separately and both groups together. Cluster analysis led to identification of three distinct groups when considering only the control group. For the diabetic group, and the computation considering both groups together, four distinct groups were isolated. Compared to the cluster analysis of the control group an additional forefoot loading pattern was identified. This group comprised diabetic feet only. The relevance of the reported clusters was supported by ANOVA statistics indicating significant differences between different regions of interest and different clusters. CONCLUSION/S SIGNIFICANCE: There seems to emerge a new era in diabetic foot medicine which embraces the classification of diabetic patients according to their biomechanical profile. Classification of the plantar pressure distribution has the potential to provide a means to determine mechanical interventions for the prevention and/or treatment of the diabetic foot.