Danielle Rice

The next revolution in stroke care

Stroke is the second leading cause of death and disability worldwide. Initiatives to decrease the burden of stroke have largely focused on prevention and acute care strategies. Despite considerable resources and attention, the focus on prevention and acute care has not been successful in changing the clinical trajectory for the majority of stroke patients. While efforts to prevent strokes will continue to have an impact, the total burden of stroke will increase due to the aging population and decreased mortality rates. There is strong evidence for the effectiveness of rehabilitation in better managing stroke and its related disabilities. The time has come to shift the attention in stroke care and research from prevention and cure to a greater focus and investment in the rehabilitation and quality of life of stroke survivors. The rebalancing of stroke care and research initiatives requires a reinvestment in rehabilitation and community reintegration of stroke survivors.

Correlates of depressive symptoms in individuals attending outpatient stroke clinics

Abstract Background and purpose Depressive symptoms are common post-stroke. We examined stroke deficits and lifestyle factors that are independent predictors for depressive symptomology. Methods A retrospective chart review was performed for patients’ post-stroke who attended outpatient clinics at a hospital in Southwestern Ontario between 1 January 2014 and 30 September 2014. Demographic variables, stroke deficits, secondary stroke risk factors and disability study measures [Patient Health Questionnaire-9 (PHQ-9) and Montreal Cognitive Assessment (MoCA)] were analyzed. Results Of the 221 outpatients who attended the stroke clinics (53% male; mean age = 65.2 ± 14.9 years; mean time post-stroke 14.6 ± 20.1 months), 202 patients were used in the final analysis. About 36% of patients (mean = 5.17 ± 5.96) reported mild to severe depressive symptoms (PHQ-9 ≥ 5). Cognitive impairment (CI), smoking, pain and therapy enrollment (p < 0.01) were significantly associated with depressive symptoms. Patients reporting CI were 4 times more likely to score highly on the PHQ-9 than those who did not report CI (OR = 4.72). While controlling for age, MoCA scores negatively related to depressive symptoms with higher PHQ-9 scores associated with lower MoCA scores (r= −0.39, p < 0.005). Conclusions High levels of depressive symptoms are common in the chronic phase post-stroke and were partially related to cognition, pain, therapy enrollment and lifestyle factors. Implications for Rehabilitation Stroke patients who report cognitive deficits, pain, tobacco use or being enrolled in therapy may experience increased depressive symptoms. A holistic perspective of disease and lifestyle factors should be considered while assessing risk of depressive symptoms in stroke patients. Patients at risk for depressive symptoms should be monitored at subsequent outpatient visits.

Mood, Disability, and Quality of Life among a Subgroup of Rheumatoid Arthritis Individuals with Experiential Avoidance and Anxiety Sensitivity

Objective. The current study aimed to identify and characterize distinct RA subgroups based on their level of EA and AS and compares the difference among the subgroups in mood, disability, and quality of life. Methods. Individuals with chronic pain for at least 3 months were recruited from an academic rheumatoid clinic. Participants were assessed for demographic, psychosocial, and personality measures. A two-step cluster analysis was conducted to identify distinct subgroups of patients. Differences in clinical outcomes were compared using the Multivariate ANOVA based on cluster membership. Results. From a total of 223 participants, three distinct subgroups were formed based on cluster analysis. Cluster 1 (N = 78) included those with low levels of both EA and AS. Cluster 2 (N = 81) consisted of individuals with moderate levels of EA and low levels AS. Cluster 3 (N = 64) included those with moderate levels of EA and high AS. Compared to those in Cluster 1, those in Cluster 3 had significantly higher levels of mood impairment and disability and lower quality of life (p < 0.05). Significantly lower levels of mood impairment were seen in Cluster 1 compared to Cluster 2 (p < 0.05). However, no significant difference in disability or quality of life was seen between the two groups. Conclusions. The three subgroups differed significantly in levels of impairment in mood, disability, and quality of life. However, levels of EA had a greater impact on disability and quality of life than AS.

Dispositional Affect in Unique Subgroups of Patients with Rheumatoid Arthritis

Background. Patients with rheumatoid arthritis may experience increased negative outcomes if they exhibit specific patterns of dispositional affect. Objective. To identify subgroups of patients with rheumatoid arthritis based on dispositional affect. The secondary objective was to compare mood, pain catastrophizing, fear of pain, disability, and quality of life between subgroups. Methods. Outpatients from a rheumatology clinic were categorized into subgroups by a cluster analysis based on dispositional affect. Differences in outcomes were compared between clusters through multivariate analysis of covariance. Results. 227 patients were divided into two subgroups. Cluster 1 (n = 85) included patients reporting significantly higher scores on all dispositional variables (experiential avoidance, anxiety sensitivity, worry, fear of pain, and perfectionism; all p < 0.001) compared to patients in Cluster 2 (n = 142). Patients in Cluster 1 also reported significantly greater mood impairment, pain anxiety sensitivity, and pain catastrophizing (all p < 0.001). Clusters did not differ on quality of life or disability. Conclusions. The present study identifies a subgroup of rheumatoid arthritis patients who score significantly higher on dispositional affect and report increased mood impairment, pain anxiety sensitivity, and pain catastrophizing. Considering dispositional affect within subgroups of patients with RA may help health professionals tailor interventions for the specific stressors that these patients experience.

Screening and facilitating further assessment for cognitive impairment after stroke: application of a shortened Montreal Cognitive Assessment (miniMoCA)

Abstract Purpose: The purpose of this study is to examine the performance of a shortened version of the MoCA (miniMoCA), as a clinical cognitive impairment screening tool in stroke rehabilitation patients. Methods: Cognitive status was assessed using the MoCA and Cognistat in 72 patients. Agreement between the tests was assessed using the Kappa statistic. The sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of a miniMoCA to a MoCA score <26 was also examined. Results: A significant level of agreement was found between the MoCA and miniMoCA to the Cognistat in classifying patients by level of cognitive function. The miniMoCA showed a sensitivity of 93% and specificity of 92% (PPV 98%, NPV 75%) to abnormal MoCA scores (<26). Conclusions: This study extends the utility of the miniMoCA as an optimal brief screening tool for cognitive impairment in stroke patients. Further research is needed to determine the validity of the miniMoCA against a neuropsychological test. Implications for Rehabilitation Although the Montreal Cognitive Assessment (MoCA) is a recommended tool to screen for cognitive impairment in stroke patients, its lengthy administration can lead to inconsistent screening of patients for post-stroke cognitive function. In the current work, a shortened version of the MoCA (miniMoCA) was administered in a sample of stoke inpatients, utilizing only five of the eight original subtests. The proposed miniMoCA was found to streamline the administration of this screen test, while maintaining a heightened level of sensitivity for accurately identifying which patients do not require a more in-depth cognitive assessment.

Identification and Characterization of Unique Subgroups of Chronic Pain Individuals with Dispositional Personality Traits

Objective. The current study attempted to identify and characterize distinct CP subgroups based on their level of dispositional personality traits. The secondary objective was to compare the difference among the subgroups in mood, coping, and disability. Methods. Individuals with chronic pain were assessed for demographic, psychosocial, and personality measures. A two-step cluster analysis was conducted in order to identify distinct subgroups of patients based on their level of personality traits. Differences in clinical outcomes were compared using the multivariate analysis of variance based on cluster membership. Results. In 229 participants, three clusters were formed. No significant difference was seen among the clusters on patient demographic factors including age, sex, relationship status, duration of pain, and pain intensity. Those with high levels of dispositional personality traits had greater levels of mood impairment compared to the other two groups (p < 0.05). Significant difference in disability was seen between the subgroups. Conclusions. The study identified a high risk group of CP individuals whose level of personality traits significantly correlated with impaired mood and coping. Use of pharmacological treatment alone may not be successful in improving clinical outcomes among these individuals. Instead, a more comprehensive treatment involving psychological treatments may be important in managing the personality traits that interfere with recovery.

Psychological Distress in Out-Patients Assessed for Chronic Pain Compared to Those with Rheumatoid Arthritis.

Background. Patients diagnosed with chronic pain (CP) and rheumatoid arthritis (RA) represent two samples with overlapping symptoms, such as experiencing significant pain. Objectives. To compare the level of psychological distress among patients diagnosed CP attending a specialist pain clinic with those attending a specialist RA clinic. Measures. A cross-sectional study was conducted at an academic specialist chronic pain and rheumatology clinic. Participants. 330 participants included a CP group (n = 167) and a RA group (n = 163) completed a booklet of questionnaires regarding demographic characteristics, duration, and severity of their pain. Psychological and personality variables were compared between the CP and RA participants using a Multivariate Analysis of Covariance (MANCOVA). Results. Level of psychological distress based on the subscales of the DASS (depression, anxiety, and stress), PASS (escape avoidance, cognitive anxiety, fear of pain, and physiological anxiety), and PCS (rumination, magnification, and helplessness) was significantly higher in the CP group compared to the RA group. Categorization of individuals based on DASS severity resulted in significant differences in rates of depression and anxiety symptoms between groups, with a greater number of CP participants displaying more severe depressive and anxiety symptoms. Discussion and Conclusions. This study found greater levels of psychological distress among CP individuals referred to an academic pain clinic when compared to RA patients referred to an academic rheumatology clinic.

Screening Adherence for Depression Post Stroke: Evaluation of Outpatients, a London Experience (SAD PEOPLE)

ABSTRACT Background: Post stroke depression (PSD) is common, and the transition home following discharge may be especially challenging for stroke survivors. Objectives: This study aimed to determine how well specific Canadian Best Practice Recommendations for PSD screening were adopted within a stroke rehabilitation outpatient clinic before and after the utilization of a standardized clinical form. Methods: Practices were evaluated through retrospective chart review before and after the implementation of the standardized form which cued physicians to administer the Patient Health Questionnaire 9 (PHQ-9) at the first outpatient visit. Participants included those aged ≥18 years with a primary diagnosis of stroke. Results: One hundred thirty-five subjects’ charts were reviewed. Form implementation was associated with increased rates of PSD screening (93.8% versus 0%) and charting regarding mood (55.4% versus 15.7%). Conclusion: This study highlights the frequency of depressive symptoms in an outpatient cohort and demonstrates how screening rates can be improved by using a standardized form. Routine PHQ-9 completion at the first outpatient visit was associated with more physician–patient discussion and documentation regarding mood.

Depressive Symptoms in Individuals after Stroke in a Home-Based Rehabilitation Setting

Poststroke depression has been shown to affect rehabilitation progress. This study evaluated patients after stroke who actively participated in a home-based rehabilitation program to determine variables that correlated with depressive symptoms in this population. A retrospective review of patients who were provided rehabilitation by Community Stroke Rehabilitation Team clinicians between January 1, 2009, and September 30, 2015, was completed. Logistic regression analysis was conducted to determine which demographic and outcome variables (Functional Independence Measure [FIM™] and Reintegration to Normal Living Index [RNLI]) were independently associated with depressive symptoms, as defined by Patient Health Questionnaire (PHQ-9) scores. 889 patients (53.2% male, mean age = 69.8 years) were included. Based on PHQ-9 scores, 89.7% of patients presented with no or mild depressive symptoms (PHQ-9 < 10) and 10.3% were considered to have moderate to severe depressive symptoms (PHQ-9 ≥ 10). The regression demonstrated that referral from outpatient, community care access centre, or community settings (OR = 1.89, p = 0.04), low RNLI scores (OR = 0.92; p = 0.001), and younger age (OR = 0.96; p < 0.001) predicted patients having moderate to severe depressive symptoms. Given the impact of poststroke depression on rehabilitation, clinicians should consider the potential impact of referral source, community reintegration, and age when monitoring and treating depressive symptoms.

Impact of Abuse on Adjustment and Chronic Pain Disability: A Structural Equation Model.

Introduction/Aim: Sexual abuse, state and trait psychosocial factors, pain intensity, and pain-related disability have been shown to be correlated among individuals with chronic pain. However, the interacting relationships among these factors are poorly understood. The current study aims to test model which examines the effect of abuse, state and trait psychosocial factors, and pain intensity on pain-related disability among individuals with chronic pain. Methods: In total, 229 participants diagnosed with chronic pain were recruited from a specialist chronic pain hospital in London, Ontario. Participants completed self-report measures related to sexual abuse history, pain intensity, personality (anxiety sensitivity, experiential avoidance, perfectionism), and adjustment (depression, anxiety, disability, maladaptive worrying). A path analysis was used to test the relationship among these variables. Results: The model provided a close fit to the data (&khgr;221=17.02; P=0.71; root-mean-square error of approximation=0.00; normal fit index=0.97; comparative fit index=1.0). The model demonstrates the direct and indirect effects of childhood sexual abuse on state and trait psychosocial factors among individuals with chronic pain. Pain anxiety, maladaptive worrying, and pain intensity were the main determinants of pain-related disability. Discussion/Conclusions: The current model has important implications in understanding the interplay of factors involved in adjustment of individuals with chronic pain. Sexual abuse did not have a direct effect on pain-related disability. However, indirect effects through other psychosocial factors were demonstrated.