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Abstract Transcranial magnetic stimulation (TMS) is widely used for therapeutic and research purposes such as cognitive studies, treatment of psychiatric disorders, and Parkinson's disease. In research, TMS is perhaps the only technique that can establish a functional connection between brain regions and task performance. In gait research, often TMS is used to identify the extent to which leg motor cortex is involved in different phases on gait cycle. However, using TMS in gait can be challenging for several technical reasons and physiological variations. The objective of this narrative review is to summarize literature in the field of TMS and gait research and present comprehensive challenges. A comprehensive literature search was conducted in PubMed and Google Scholar to identify all relevant literature on TMS and gait. Several critical challenges could potentially impact the findings. For instance, the use of different protocols to obtain motor threshold. This review presents some of the critical challenges in applying TMS during gait. It is important to be aware of these variations and utilize strategies to mitigate some challenges.

Purpose Strongly framed research questions are clear as to the population (P), the exposures or interventions (E/I), comparison groups (C), outcomes (O), time when relevant (T), and what the investigator wants to know. A solid framework sets up the measurement model, analysis, and anticipated results. The purpose of this study was to estimate the extent to which research questions in journals that focused on patient-reported outcome measures (PROM) and quality of life (QOL) are clear. Methods All 440 research articles published in four PROM journals in 2020. excluding reviews, psychometric, and qualitative papers, were reviewed. Research questions were classified as: (i) adequately framed (ii) poorly framed; or (iii) unframed based on clarity criteria. Examples from each journal were presented and reframed to match results in the article. Results Of 440 articles, 195 (44.3%) were classified as adequately framed; 230 (52.2%) as poorly framed; and 15 (3.4%) as unframed. There was heterogeneity across journals (Chi-square: 20.8; 6 df; p  = 0.002). Only 29% were framed according to what the investigators wanted to know; 72% were framed like a “to do” list; and 6% were framed as a research agenda. Conclusion Almost half of the questions were poorly framed or unframed a practice that could contribute to research wastage. Even “adequately framed” questions rarely stated what they wanted to know a priori, increasing the risk of biased reporting. Researchers, reviewers, and editors should encourage the use established frameworks for research questions.

AimsMany older persons do not think of themselves as “patients” but as persons wishing to live as actively as possible for as long as possible. However, most health-related quality of life (HRQL) measures were developed for use with clinical populations. The aim of this project was to fill that gap and to develop, for international use, a measure of what matters to older persons as they age and seek to remain as active as possible, Older Persons for Active Living (OPAL).MethodsFor content development, interviews about active living were conducted with older persons from Canada, USA, UK, and the Netherlands in English, French, Spanish and Dutch, respectively with subsequent thematic analysis and harmonization.ResultsAnalyses of transcripts from 148 older persons revealed that active living was a “way of being” and not merely doing activities. Saturation was reached and a total of 59 content areas were identified. After grouping similar “ways” together and after conducting a consensus rating of importance, 19 unique and important “ways” remained. In some languages, formulating was challenging for three of the 19, resulting in changes to two English words and dropping two other words, yielding a final list of 17 “ways of being” with harmonized wording in 4 languages.ConclusionThis study underscores the significance of listening to older adults and highlights the importance of considering linguistic and cultural nuances in measure development.

Background: Parkinson’s disease (PD) affects both motor and non-motor functions, but their interactions are understudied. This study aims to explore the relationships between non-motor and motor effects of PD, focusing on depression, fatigue, gait parameters, concentration, and physical function. Methods: This is a secondary analysis of baseline data from a randomized feasibility study using a commercially available Heel2Toe™ sensor, providing auditory feedback for gait quality. The sample included PD patients with gait impairments who walked without aids. Non-motor measures were depression, fatigue, and concentration, while motor measures included gait quality (angular velocity and variability during heel strike, push-off, foot swing) and physical function (6MWT, Mini-BESTest, Neuro-QoL). Path analysis was used to assess direct and indirect effects. Results: Among 27 participants, fatigue impacted heel strike, which affected Neuro-QoL. Mood influenced push-off and Neuro-QoL, with a direct link to 6MWT. Foot swing affected Mini-BESTest and Neuro-QoL directly. Conclusions: Non-motor PD effects directly influenced specific gait parameters and physical function indicators, highlighting potential digital biomarkers of fatigue and mood for targeted interventions.

Background Over a third of people living with HIV (PLHIV) have suboptimal adherence to antiretroviral therapy (ART). Measures of barriers to ART adherence often lack comprehensiveness. To help manage ART adherence barriers in HIV care, we are developing a new patient-reported outcome measure (PROM) of these barriers (the I-Score). Methods We assessed the content validity of 100 items (distinct barriers) to retain only those most relevant to both PLHIV and HIV health/social service providers. A web-based Delphi was conducted in Canada and France, collecting data from December 2018 to October 2019. Items were evaluated on relevance (the combined rated importance and actionability for HIV care of items among both PLHIV and providers); comprehensibility (rated item clarity); comprehensiveness (examined against our conceptual framework); cross-cultural equivalence (based on comparisons by questionnaire language (English, French) and country of residence). Pearson’s chi-square tests were used for comparisons by language, country, gender, and stakeholder group (PLHIV, providers). Results Panelists included 40 PLHIV and 57 providers (66% response rate). Thirty-one items were retained based on consensus thresholds for relevance (minimum: 50% for PLHIV, 60% for providers) and showed good comprehensibility and comprehensiveness, when compared to our conceptual framework (representation of: 6/6 domains, 15/20 subdomains). No significant difference in relevance based on language or country was found among retained items, suggestive of cross-cultural equivalence. Among all 100 items, only 6 significant differences on relevance were observed for gender. For 62 items, the relevance ratings of PLHIV and providers differed significantly, with providers showing greater endorsement of all items but one. Discussion The Delphi led to a much-needed item reduction. Remaining items highlight the panel’s multidimensional priorities for the PROM on ART adherence barriers, with few, if any, differences by language, country, and gender. While the analyses may lack generalizability and power, the sample size is considered adequate for a PROM validation study. Conclusion Retained items showed good content validity. The different patterns of item endorsement observed underscore the utility of engaging multiple stakeholder groups in PROM development for use in clinical practice. The greater endorsement of items by providers versus patients merits further investigation, including the implications of such differentials for measure development.

Background Technology is poised to bridge the gap between demand for therapies to improve gait in people with Parkinson’s and available resources. A wearable sensor, Heel2Toe™, a small device that attaches to the side of the shoe and gives a sound each time the person starts their step with a strong heel strike, has been developed and pre-tested by a team at McGill University. The objective of this study was to estimate feasibility and efficacy potential of the Heel2Toe™ sensor in changing walking capacity and gait pattern in people with Parkinson’s. Methods A pilot study was carried out involving 27 people with Parkinson’s randomized 2:1 to train with the Heel2Toe[TM] sensor and or to train with recommendations from a gait-related workbook. Results A total of 21 completed the 3-month evaluation, 14 trained with the Heel2Toe[TM] sensor, and 7 trained with the workbook. Thirteen of 14 people in the Heel2Toe group improved over measurement error on the primary outcome, the 6-Minute Walk Test, (mean change 66.4 m) and 0 of the 7 in the Workbook group (mean change − 19.4 m): 4 of 14 in the Heel2Toe group made reliable change and 0 of 7 in the Workbook group. Improvements in walking distance were accompanied by improvements in gait quality. Forty percent of participants in the intervention group were strongly satisfied with their technology experience and an additional 37% were satisfied. Conclusions Despite some technological difficulties, feasibility and efficacy potential of the Heel2Toe sensor in improving gait in people with Parkinson’s was supported.

Background Using Patient Reported Outcomes (PROs) in clinical care can reduce healthcare service utilization by improving the quality of care. Telehealth, defined by WHO, as the use of “telecommunications and virtual technology to deliver healthcare outside of traditional healthcare facilities”, can facilitate a dynamic dialogue between patients and healthcare providers for timely interventions. With the increased use of telehealth facilitated by the infrastructure development during the COVID-19 pandemic, there is an opportunity to utilize telehealth for PRO implementation and a need for guidelines for using PROs via telehealth. This study aimed to generate expert consensus on the utilization of PROs in telehealth. Methods Delphi methodology was used to achieve consensus among international experts with a predetermined consensus threshold of 70%. Experts were mainly identified through the ISOQOL Clinical Practice SIG. Surveys asked a combination of structured and open-ended questions about the conceptualization of PROs in telehealth, its applicability, target population, implementation challenges and successful strategies, evaluation approaches, and the essential stakeholders. Data from each round were iteratively analyzed using descriptive statistics (quantitative data) and content analysis (qualitative data). Results Out of 24 invitations sent, 17 completed the first round, and 11 completed all three rounds. Respondents were equally distributed between clinicians and researchers and 70% had used PROs via telehealth before the pandemic. Consensus was achieved and some of the relevant aspects are monitoring patients for applicability; individuals with chronic diseases as the target population; resources, staff buy-in, and clinical workflow as the implementation challenges and strategies; utilization metrics for evaluation; and clinicians and patients as essential stakeholders. Though consensus was not reached for the conceptualization of PROs using telehealth, the modified FDA definition of telehealth with the addition of its purpose, and the mode of administration was the most acceptable version. See attached table. Conclusion The expert consensus achieved provides important insights from an international perspective on how PROs are currently used via telehealth and the needed implementation support to advance their expansion in research and practice. Lack of consensus on the definition of PROs in telehealth signals the continued rapid evolution of their use and the need for additional research.

Background Steps per day can provide a lot of information about the activity of the average person whose main source of activity is derived from walking. This study looks at the distribution of step count data to identify different subgroups of people which could be used to indicate walking reserve. Methods A time series design of a secondary data analysis was conducted to track the variability of daily step count for 44 seniors post-fracture. The mean age was 75.8 years (SD: 9.75). The full percentile distribution was used in a cluster analysis and group-based trajectory analysis was used for the longitudinal data. Ordinal regression was used to identify factors associated with cluster membership. Results Four clusters best represented the distribution of reserve in this sample, hypothesized to be defined as the difference between the median and 90th percentile of the step-count distribution. Cluster 1, with the lowest reserve would also be classified as sedentary based on median step count (1,555 step count; 1,314 reserve). Cluster 2 represented people with limited activity with low reserve (4,081 step count; 2,439 reserve). Cluster 3 represented active people with high reserve (7,197 step count; 4,370 reserve). Cluster 4, was very active with very high reserve (9,202 step count, 6,964 reserve).The factors associated with cluster membership were gait speed, sit-to-stand, and depression. Conclusions The median and 90th percentile over a longer period indicates the potential “reserve” for participating in activities that demand additional walking.

(1) Background: The aim of this project was to develop a short, HIV-specific, health-related quality of life measure with a scoring system based on patient preferences for the different dimensions of the Preference-Based HIV Index (PB-HIV). (2) Methods: This study is a cross-sectional analysis of data from the Canadian Positive Brain Health Now cohort (n = 854; mean age 53 years). Items from the standardized measures were mapped to the areas from the Patient-Generated Index and formed the domains. A Rasch analysis was used to identify the best performing item to represent each dimension. Each item was then regressed on self-rated health (scored 0 to 100) and the regression parameters were used as scaling weights to form an index score for the prototype measure. (3) Results: Seven independent dimensions with three declarative statements ordered as response options formed the PB-HIV Index (pain, fatigue, memory/concentration, sleep, physical appearance/body image, depression, motivation). Regression parameters from a multivariable model yielded a measure with a scoring range from 0 (worst health) to 100 (perfect health). (4) Conclusions: Preference-based measures are optimal, as the total score reflects gains in some dimensions balanced against losses in others. The PB-HIV Index is the first HIV-specific preference-based measure.

The number of wearable technological devices or sensors that are commercially available for gait training is increasing. These devices can fill a gap by extending therapy outside the clinical setting. This was shown to be important during the COVID-19 pandemic when people could not access one-on-one treatment. These devices vary widely in terms of mechanisms of therapeutic effect, as well as targeted gait parameters, availability, and strength of the evidence supporting the claims. This study aimed to create an inventory of devices targeting improvement in gait pattern and walking behavior and identify the strength of the evidence underlying the claims of effectiveness for devices that are commercially available to the public. As there is no systematic or reproducible way to identify gait training technologies available to the public, we used a pragmatic, iterative approach using both the gray and published literature. Four approaches were used: simple words, including some suggested by laypersons; devices endorsed by condition-specific organizations or charities; impairment-specific search terms; and systematic reviews. A findable list of technological devices targeting walking was extracted separately by 3 authors. For each device identified, the evidence for efficacy was extracted from material displayed on the websites, and full-text articles were obtained from the scientific databases PubMed, Ovid MEDLINE, Scopus, or Google Scholar. Additional information on the target population, mechanism of feedback, evidence for efficacy or effectiveness, and commercial availability was obtained from the published material or websites. A level of evidence was assigned to each study involving the device using the Oxford Centre for Evidence-Based Medicine classification. We also proposed reporting guidelines for the clinical appraisal of devices targeting movement and mobility. The search strategy for this consumer-centered review yielded 17 biofeedback devices that claim to target gait quality improvement through various sensory feedback mechanisms. Of these 17 devices, 11 (65%) are commercially available, and 6 (35%) are at various stages of research and development. Of the 11 commercially available devices, 4 (36%) had findable evidence for efficacy potential supporting the claims. Most of these devices were targeted to people living with Parkinson disease. The reporting of key information about the devices was inconsistent; in addition, there was no summary of research findings in layperson's language. The amount of information that is currently available to the general public to help them make an informed choice is insufficient, and, at times, the information presented is misleading. The evidence supporting the effectiveness does not cover all aspects of technology uptake. Commercially available technologies help to provide continuity of therapy outside the clinical setting, but there is a need to demonstrate effectiveness to support claims made by the technologies.