Up-to-date certification of the National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS) is often required for clinical trials, representing a significant burden on clinical investigators globally.

This systematic review sought to determine if NIHSS or mRS training, re-training, certification or recertification led to improvements in the reliability or accuracy of ratings as well as other relevant user metrics (e.g., user confidence).

Among 4227 studies, 100 passed screening and were assessed for eligibility with full-text review; 23 met inclusion criteria. Among these 23 studies, 22 examined NIHSS training and/or certification, and only a single study included examined the effect of training on mRS performance. Ten of 23 included studies were conference abstracts. The study designs, interventions and outcome measurement of the included studies were heterogeneous. In the case of the NIHSS, two studies found increased accuracy after NIHSS training, and a third study showed statistically significant though clinically trivial decreases in error rate with training. The remaining 19 studies showed no benefit of NIHSS training as it relates to reliability or accuracy outcomes. The single included mRS study did not show the benefit of training.

Although data are sparse with heterogeneous training protocols and outcomes, there is no compelling evidence to suggest benefit of healthcare professionals completing NIHSS or mRS training, certification or recertification. At the very least, recertification/re-training requirements should be reconsidered pending the provision of robust evidence.

During the COVID-19 pandemic, virtual physician visits rapidly increased among community-dwelling older persons living with dementia (PLWD) in Ontario. Rural residents often have less access to medical care compared to their urban counterparts, and it is unclear whether access to virtual care was equitable between PLWD in urban versus rural locations.

Using population-based health administrative data and a repeated cross-sectional study design, we identified and described community-dwelling PLWD between March 2020 and August 2022 in Ontario, Canada. Poisson regression was used to calculate rate ratios (RR) and 95% confidence intervals comparing rates of virtual visits between rural and urban PLWD by key physician specialties: family physicians, neurologists and psychiatrists/geriatricians.

Of 122,751 PLWD in our cohort, 9.2% (n = 11,304) resided in rural areas. Rural PLWD were slightly younger compared to their urban counterparts (mean age = 81 vs. 82 years; standardized difference = 0.16). There were no differences across areas by sex or income quintile. In adjusted models, rates of virtual visits were significantly lower for rural compared to urban PLWD across all specialties: family physicians (RR = 0.71 [0.69–0.73]), neurologists (RR = 0.79 [0.75–0.83]) and psychiatrists/geriatricians (RR = 0.72 [0.68–0.76]).

PLWD in rural areas had significantly lower rates of virtual family physician, neurologist and psychiatrist/geriatrician visits compared to urban dwellers during the study period. This finding raises important issues regarding access to primary and specialist healthcare services for rural PLWD. Future work should explore barriers to care to improve health care access among PLWD in rural communities.

Palliative care, which was formally established in the Global North, is now recognized globally as part of health care. As part of a larger study, we were interested in how decision-makers at a leading hospice in South Africa understood the changing local context and its influence on the delivery of services. We were interested in how the concept of “total pain,” as outlined by Saunders, applies in a very unequal and under-resourced society in the shadow of a long, oppressive colonial, and apartheid past.

We conducted face-to-face semi-structured interviews with 12 staff at St Luke’s Combined Hospices in Cape Town, South Africa, and analyzed the data following Braun and Clarke’s thematic analysis approach.

Four major themes emerged from the data. First, St Luke’s has faced the challenge of serving a larger and far more diverse population than it had under apartheid. Second, the organization has undergone a process of rethinking holism and holistic services offered to palliative care patients in this context. Third, diversity and cultural sensitivity are key to how services are offered, and finally, the concept of “total pain” in this context is linked to questions of power and empowerment.

This study is small and situated within a particular context, and it is clear that more data are needed. Nevertheless, the study shows that considering the Global South and postcolonial context is important for thinking about total pain and a global system of palliative care which is sensitive to the majority world context.

The Edmonton-based mobile stroke unit (MSU), which transports patients to the University of Alberta Hospital (UAH), enrolled patients in the Intravenous Tenecteplase Compared with Alteplase for Acute Ischemic Stroke (AcT) trial. We examined the feasibility of trial enrollment in MSU, its impact on acute stroke workflow metrics and functional outcomes at 90–120 days.

In this post hoc analysis, patients were divided into three groups based on enrollment site: MSU (n = 43), UAH (n = 273) and non-UAH (n = 1261). All patients were enrolled with a deferred consent process. The primary outcome for this analysis was the feasibility of enrollment defined as the proportion of patients receiving intravenous thrombolysis (IVT) during the study period who were enrolled in the trial. Multiple linear and binary logistic regression was used to evaluate the adjusted effect of the study groups on acute stroke workflow metrics and functional outcomes at 90–120 days.

100% of eligible IVT-treated patients in the MSU during the study period were enrolled in the AcT trial. Covariate-adjusted linear regression showed shorter door-to-needle (17.2 [9.7–24.6] min) and CT-to-needle (10.7 [4.2–17.1] min) times in the MSU compared to UAH and non-UAH sites. There was no difference in the proportion of patients with an excellent functional outcome (mRS 0–1) at 90–120 days or symptomatic intracerebral hemorrhage (ICH) at 24 hours between groups.

Enrollment in the AcT trial from the MSU was feasible. MSU-enrolled patients demonstrated faster door-to-needle and CT-to-needle times, resulting in earlier IVT administration and similar rates of symptomatic ICH.

Clinical trials often struggle to recruit enough participants, with only 10% of eligible patients enrolling. This is concerning for conditions like stroke, where timely decision-making is crucial. Frontline clinicians typically screen patients manually, but this approach can be overwhelming and lead to many eligible patients being overlooked.

To address the problem of efficient and inclusive screening for trials, we developed a matching algorithm using imaging and clinical variables gathered as part of the AcT trial (NCT03889249) to automatically screen patients by matching these variables with the trials’ inclusion and exclusion criteria using rule-based logic. We then used the algorithm to identify patients who could have been enrolled in six trials: EASI-TOC (NCT04261478), CATIS-ICAD (NCT04142125), CONVINCE (NCT02898610), TEMPO-2 (NCT02398656), ESCAPE-MEVO (NCT05151172), and ENDOLOW (NCT04167527). To evaluate our algorithm, we compared our findings to the number of enrollments achieved without using a matching algorithm. The algorithm’s performance was validated by comparing results with ground truth from a manual review of two clinicians. The algorithm’s ability to reduce screening time was assessed by comparing it with the average time used by study clinicians.

The algorithm identified more potentially eligible study candidates than the number of participants enrolled. It also showed over 90% sensitivity and specificity for all trials, and reducing screening time by over 100-fold.

Automated matching algorithms can help clinicians quickly identify eligible patients and reduce resources needed for enrolment. Additionally, the algorithm can be modified for use in other trials and diseases.

The depression, obstructive sleep apnea and cognitive impairment (DOC) screen assesses three post-stroke comorbidities, but additional information may be gained from the time to complete the screen. Cognitive screening completion time is rarely used as an outcome measure.

To assess DOC screen completion time as a predictor of cognitive impairment in stroke/transient ischemic attack clinics.

Consecutive English-speaking stroke prevention clinic patients consented to undergo screening and neuropsychological testing (n = 437). DOC screen scores and times were compared to scores on the NINDS-CSC battery using multiple linear regression (controlling for age, sex, education and stroke severity) and receiver operating characteristic (ROC) curve analysis.

Completion time for the DOC screen was 3.8 ± 1.3 minutes. After accounting for covariates, the completion time was a significant predictor of the speed of processing (p = 0.002, 95% CI: −0.016 to −0.004), verbal fluency (p < 0.001, CI: −0.012 to −0.006) and executive function (p = 0.004, CI: −0.006 to −0.001), but not memory. Completion time above 5.5 minutes was associated with a high likelihood of impairment on executive and speed of processing tasks (likelihood ratios 3.9–5.2).

DOC screen completion time is easy to collect in routine care. People needing over 5.5 minutes to be screened likely have deficits in executive functioning and speed of processing – areas commonly impaired, but challenging to screen for, after stroke. DOC screen time provides a simple, feasible approach to assess these under-identified cognitive impairments.

Diagnosis of acute ischemia typically relies on evidence of ischemic lesions on magnetic resonance imaging (MRI), a limited diagnostic resource. We aimed to determine associations of clinical variables and acute infarcts on MRI in patients with suspected low-risk transient ischemic attack (TIA) and minor stroke and to assess their predictive ability.

We conducted a post-hoc analysis of the Diagnosis of Uncertain-Origin Benign Transient Neurological Symptoms (DOUBT) study, a prospective, multicenter cohort study investigating the frequency of acute infarcts in patients with low-risk neurological symptoms. Primary outcome parameter was defined as diffusion-weighted imaging (DWI)-positive lesions on MRI. Logistic regression analysis was performed to evaluate associations of clinical characteristics with MRI-DWI-positivity. Model performance was evaluated by Harrel’s c-statistic.

In 1028 patients, age (Odds Ratio (OR) 1.03, 95% Confidence Interval (CI) 1.01–1.05), motor (OR 2.18, 95%CI 1.27–3.65) or speech symptoms (OR 2.53, 95%CI 1.28–4.80), and no previous identical event (OR 1.75, 95%CI 1.07–2.99) were positively associated with MRI-DWI-positivity. Female sex (OR 0.47, 95%CI 0.32–0.68), dizziness and gait instability (OR 0.34, 95%CI 0.14–0.69), normal exam (OR 0.55, 95%CI 0.35–0.85) and resolved symptoms (OR 0.49, 95%CI 0.30–0.78) were negatively associated. Symptom duration and any additional symptoms/symptom combinations were not associated. Predictive ability of the model was moderate (c-statistic 0.72, 95%CI 0.69–0.77).

Detailed clinical information is helpful in assessing the risk of ischemia in patients with low-risk neurological events, but a predictive model had only moderate discriminative ability. Patients with clinically suspected low-risk TIA or minor stroke require MRI to confirm the diagnosis of cerebral ischemia.

Research study complexity refers to variables that contribute to the difficulty of a clinical trial or study. This includes variables such as intervention type, design, sample, and data management. High complexity often requires more resources, advanced planning, and specialized expertise to execute studies effectively. However, there are limited instruments that scale study complexity across research designs. The purpose of this study was to develop and establish initial psychometric properties of an instrument that scales research study complexity.

Technical and grammatical principles were followed to produce clear, concise items using language familiar to researchers. Items underwent face, content, and cognitive validity testing through quantitative surveys and qualitative interviews. Content validity indices were calculated, and iterative scale revision was performed. The instrument underwent pilot testing using 2 exemplar protocols, asking participants (n = 31) to score 25 items (e.g., study arms, data collection procedures).

The instrument (Research Complexity Index) demonstrated face, content, and cognitive validity. Item mean and standard deviation ranged from 1.0 to 2.75 (Protocol 1) and 1.31 to 2.86 (Protocol 2). Corrected item-total correlations ranged from .030 to .618. Eight elements appear to be under correlated to other elements. Cronbach’s alpha was 0.586 (Protocol 1) and 0.764 (Protocol 2). Inter-rater reliability was fair (kappa = 0.338).

Initial pilot testing demonstrates face, content, and cognitive validity, moderate internal consistency reliability and fair inter-rater reliability. Further refinement of the instrument may increase reliability thus providing a comprehensive method to assess study complexity and related resource quantification (e.g., staffing requirements).