Tailored activity pacing could help manage fatigue and improve physical activity. However, little is known about how to tailor activity pacing for people with multiple sclerosis. This study aims to evaluate the effect of a tailored activity pacing intervention on fatigue and physical activity behaviours in adults with multiple sclerosis. Twenty-one adults with multiple sclerosis, stratified by age and gender, are randomly allocated to either a tailored pacing or control group. Participants wear an accelerometer for seven days that measures physical activity behaviours, and self-report fatigue at the baseline and four-week follow-up. Physical activity behaviours are assessed by examining activity level (seven-day average activity counts per minute) and activity variability (seven-day average highest activity counts each day divided by activity counts on that day). The intervention improves activity levels (Mean difference = 40.91; 95% Confidence Interval [CI] (3.84–77.96); p = 0.03) and lessens activity variability (Mean difference = −0.63; 95% CI (−1.25–0.02); p = 0.04). No significant effect is found for fatigue (Mean difference = −0.36; 95% CI (−1.02–0.30); p = 0.27). This investigation shows that tailoring activity pacing based on physical activity behaviours and fatigue is effective in improving physical activity levels, without exacerbating fatigue symptoms.

A meta-analysis was conducted to (1) determine the effect of activity pacing interventions on fatigue, physical functioning and physical activity among patients with chronic conditions associated with fatigue complaints, and to (2) examine potential moderator effects of trial characteristics (components of intervention and amount of patient-provider contact). Six studies were included in the meta-analysis. Relevant content of the studies was extracted and rated on methodological quality. Random-effects modeling was used to pool data across studies. Medium (standardized mean difference =0.50) and marginal (standardized mean difference =0.34) effects were found for fatigue at post-treatment and follow-up respectively. Inconsequential effects were found for physical functioning and activity (standardized mean difference =0.08–0.30) at both assessment points. Subgroup analyses revealed components of intervention and amount of patient-provider contact were not the source of variance. Minimal patient-provider contact had an effect on fatigue comparable in magnitude to more intensive contact. This meta-analysis of activity pacing in patients with fatigue complaints suggests that activity pacing might have sustained beneficial effects on fatigue management, in particular on fatigue reduction. The divergence in effects for all outcomes suggests that alternative ways such as tailoring advice to individual’s behavior toward physical activity may be more successful.

Regular exercise can improve wellbeing, yet data are scarce on how persons with disabling conditions may benefit from active lifestyles, due to the complexities of exercise prescription in this population. A novel medical concept for exercise prescription called activity pacing is the subject of this review, which identifies the potential for this strategy to optimally integrate existing medical and sports medicine approaches in promoting physical activity in persons with disabling conditions. Activity pacing is a goal-directed behavioural process of empowering people to confidently develop decision-making and planning over how and where to distribute available energy across daily activities. Currently, different conceptual traditions and definitions of pacing exist with important implications for the implementation and subsequent effectiveness of activity pacing. Application of activity pacing has mostly focused on symptom-reduction to improve self-regulatory behaviour, and less on physical activity stimulation for health and wellbeing. Further studies and greater connection between medical and sports science research are needed on how to adapt, tailor and optimise activity pacing to make it successful. The potential of activity pacing to increase physical activity and lessen fatigue could be a powerful tool to help fight the growing incidence of physical inactivity, particularly in persons with disabling conditions.

Fatigue is common in people with multiple sclerosis (MS). Activity pacing is a behavioral way to cope with fatigue and limited energy resources. However, little is known about how people with MS naturally pace activities to manage their fatigue and optimize daily activities. This study explored how activity pacing relates to fatigue and physical activity in people with MS. Participants were 80 individuals (60 females, 20 males) with a diagnosis of MS. The participants filled in questionnaires on their activity pacing, fatigue, physical activity, and health-related quality of life, 3–6 weeks before discharge from rehabilitation. The relationships between the variables were examined using hierarchical regression. After controlling for demographics, health-related quality of life, and perceived risk of overactivity, no associations were found between activity pacing and fatigue (β = 0.20; t = 1.43, p = 0.16) or between activity pacing and physical activity (β = −0.24; t = −1.61, p = 0.12). The lack of significant associations between activity pacing and fatigue or physical activity suggests that without interventions, there appears to be no clear strategy amongst people with MS to manage fatigue and improve physical activity. People with MS may benefit from interventions to manage fatigue and optimize engagement in physical activity.

Background. The use of standardized outcome measures is an aspect of good clinical practice and essential to the rehabilitation of patients suffering from stroke. Literature reports regarding the extent of usage of outcome measures in stroke rehabilitation by physiotherapists globally are inconsistent. In addition, the patronage of outcome measures in stroke rehabilitation in low-resourced countries is uncertain. Objective. This study was conducted to assess the current practice of physiotherapists in Ghana regarding the use of standardized outcome measures in the rehabilitation of stroke patients. Method. A descriptive cross-sectional survey, was used involving 105 registered physiotherapists in Ghana. A 35-item adapted questionnaire was used to collect data on some commonly used outcome measures and frequency of use by physiotherapists for stroke patients. Results. A total of 55 (52.4%) physiotherapists did not use outcome measures in their clinical practice. Physiotherapists below 40 years of age use outcome measures (64.7%) more than those 41 years and above (6.7%). Physiotherapists working in public facilities in Ghana are more likely to use outcome measures (56.2%) than those in private facilities (16.2%). Physiotherapists who attend to 1-10 patients in a week used outcome measures more (32.4%) than physiotherapists who attend to more than 30 patients (3.8%) in a week. Conclusion. There is poor usage of outcome measures by Ghanaian physiotherapists, with more than half of the participants not using any standardized outcome measures for rehabilitation of patients in their practice. Physiotherapists who attends to fewer number of patients in a week are more likely to use outcome measures. There is the need for implementation of policy and guidelines on the use of outcome measures by the Allied Health Professions Council and the Ghana Physiotherapy Association.

Existing studies investigating 30-day in-hospital stroke case fatality rates in sub-Saharan Africa have produced varying results, underscoring the significance of obtaining precise and reliable estimations for this indicator. Consequently, this study aimed to conduct a systematic review and update of the current scientific evidence regarding 30-day in-hospital stroke case fatality and associated risk factors in sub-Saharan Africa. Medline/PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), APA PsycNet (encompassing PsycINFO and PsychArticle), Google Scholar, and Africa Journal Online (AJOL) were systematically searched to identify potentially relevant articles. Two independent assessors extracted the data from the eligible studies using a pre-tested and standardized excel spreadsheet. Outcomes were 30-day in-hospital stroke case fatality and associated risk factors. Data was pooled using random effects model. Ninety-three (93) studies involving 42,057 participants were included. The overall stroke case fatality rate was 27% [25%-29%]. Subgroup analysis revealed 24% [21%-28%], 25% [21%-28%], 29% [25%-32%] and 31% [20%-43%] stroke case fatality rates in East Africa, Southern Africa, West Africa, and Central Africa respectively. Stroke severity, stroke type, untyped stroke, and post-stroke complications were identified as risk factors. The most prevalent risk factors were low (<8) Glasgow Coma Scale score, high (≥10) National Institute Health Stroke Scale score, aspiration pneumonia, hemorrhagic stroke, brain edema/intra-cranial pressure, hyperglycemia, untyped stroke (stroke diagnosis not confirmed by neuroimaging), recurrent stroke and fever. The findings indicate that one in every four in-hospital people with stroke in sub-Saharan Africa dies within 30 days of admission. Importantly, the identified risk factors are mostly modifiable and preventable, highlighting the need for context-driven health policies, clinical guidelines, and treatments targeting these factors.