Social networks and neurological illness

Exploring medication self-management in polypharmacy: a qualitative systematic review of patients and healthcare providers perspectives

Purpose: Polypharmacy presents many challenges to patient medication self-management. This study aims to explore the self-management processes of medication in polypharmacy from the perspectives of both patients and healthcare providers, which can help identify barriers and facilitators to effective management. Methods: A systematic review of qualitative studies was performed by searching seven databases: PubMed, Web of Science, Cochrane Library, Embase, CINAHL, PsycINFO, and MEDLINE, from their establishment until August 2024. The Critical Appraisal Skills Programme (CASP) tool was employed to evaluate the quality of the studies included. The extracted data were then analysed thematically and integrated into The Taxonomy of Everyday Self-management Strategies (TEDSS) framework. Results: A total of 16 studies were included, involving 403 patients and 119 healthcare providers. Patient management measures were mapped into TEDSS framework, including categories such as medical management, support-oriented domains, and emotional and role management. Conclusion: Enhancing patients' proactive health awareness, improving medication literacy, balancing lifestyle adjustments with medication therapy, dynamically reviewing and optimizing medications, strengthening patients' social support networks, and helping patients integrate medication management into their daily life are the key elements that can effectively assist patients in self-managing their medications. Future interventions to improve patient medication self-management ability should be designed for these issues. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024524742.

What is the Status Quo of Patient-Centred Physiotherapy Management of People with Headache within a Biopsychosocial Model? - A Narrative Review

PURPOSE OF REVIEW

Patient-centred care (PCC) is deemed essential in the rehabilitation of musculoskeletal pain. Integrating such care within a biopsychosocial framework, enables to address all facets of the individual pain experience, and to manage the individual instead of the condition. This narrative review describes the status quo of PCC physiotherapy management of people with headache within a biopsychosocial model. PubMed, EMBASE, Web of Science, Scopus were searched (update 07.05.2024). The search-query comprised terminology relating to "headache", "patient-centred", "biopsychosocial", "physiotherapy". Additional eligibility criteria were reviews, trials, cohort, case report, case-control studies in English, Dutch, French.

RECENT FINDINGS

Gaps are exposed in patient-centred physiotherapy management of migraine, tension-type headache, and cervicogenic headache. While a biopsychosocial approach is advised to manage migraine and tension-type headache, its use in clinical practice is not reflected by the literature. A biopsychosocial approach is not advised in cervicogenic headache. Psychosocial-lifestyle interventions are mainly delivered by health-care providers other than physiotherapists. Additionally, psychologically-informed practice is barely introduced in physiotherapy headache management. Though, managing the social context within a biopsychosocial framework is advised, the implementation by physiotherapists is unclear. Comparable conclusions apply to PCC. PCC is recommended for the physiotherapy management of primary and secondary headache. Such recommendation remains however theoretical, not reaching clinical implementation. Yet, a shift from the traditional disease-centred model of care towards PCC is ongoing and should be continued in physiotherapy management. With this implementation, clinical and economical studies are needed to evaluate its effectiveness.

Sustainability of personal social networks of people with Down syndrome

Research continues to demonstrate that the characteristics of one's social network could have an impact on the development of Alzheimer's disease. Given the predisposition of people with Down syndrome to develop Alzheimer's disease, analysis of their social networks has become an emerging focus. Previous pilot research demonstrated that the personal networks of people with DS could be quantitatively analyzed, with no difference between self-report and parent-proxy report. This manuscript focuses on a 12-month follow-up period with the same original participants (24 adults with Down syndrome). Their social networks demonstrated sustainability, but not improvement, as reported by people with DS (mean network size: 8.88; mean density: 0.73; mean constraint: 0.44; mean effective size: 3.58; mean max degree: 6.04; mean degree: 4.78) and their proxies (mean network size: 7.90; mean density: 0.82; mean constraint: 53.13; mean effective size: 2.87; mean max degree: 5.19; mean degree: 4.30). Intentional and continued efforts are likely needed in order to improve the social network measures of people with Down syndrome.

Impact of the COVID-19 Pandemic on the Personal Networks and Neurological Outcomes of People With Multiple Sclerosis: Cross-Sectional and Longitudinal Case-Control Study

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has negatively affected the social fabric.

OBJECTIVE

We evaluated the associations between personal social networks and neurological function in people with multiple sclerosis (pwMS) and controls in the prepandemic and pandemic periods.

METHODS

During the early pandemic (March-December 2020), 8 cohorts of pwMS and controls completed a questionnaire quantifying the structure and composition of their personal social networks, including the health behaviors of network members. Participants from 3 of the 8 cohorts had additionally completed the questionnaire before the pandemic (2017-2019). We assessed neurological function using 3 interrelated patient-reported outcomes: Patient Determined Disease Steps (PDDS), Multiple Sclerosis Rating Scale-Revised (MSRS-R), and Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function. We identified the network features associated with neurological function using paired 2-tailed t tests and covariate-adjusted regressions.

RESULTS

In the cross-sectional analysis of the pandemic data from 1130 pwMS and 1250 controls during the pandemic, having a higher percentage of network members with a perceived negative health influence was associated with worse disability in pwMS (MSRS-R: β=2.181, 95% CI 1.082-3.279; P<.001) and poor physical function in controls (PROMIS Physical Function: β=-5.707, 95% CI -7.405 to -4.010; P<.001). In the longitudinal analysis of 230 pwMS and 136 controls, the networks of all participants contracted, given an increase in constraint (pwMS-prepandemic: mean 52.24, SD 15.81; pwMS-pandemic: mean 56.77, SD 18.91; P=.006. Controls-prepandemic: mean 48.07, SD 13.36; controls-pandemic: mean 53.99, SD 16.31; P=.001) and a decrease in network size (pwMS-prepandemic: mean 8.02, SD 5.70; pwMS-pandemic: mean 6.63, SD 4.16; P=.003. Controls-prepandemic: mean 8.18, SD 4.05; controls-pandemic: mean 6.44, SD 3.92; P<.001), effective size (pwMS-prepandemic: mean 3.30, SD 1.59; pwMS-pandemic: mean 2.90, SD 1.50; P=.007. Controls-prepandemic: mean 3.85, SD 1.56; controls-pandemic: mean 3.40, SD 1.55; P=.01), and maximum degree (pwMS-prepandemic: mean 4.78, SD 1.86; pwMS-pandemic: mean 4.32, SD 1.92; P=.01. Controls-prepandemic: mean 5.38, SD 1.94; controls-pandemic: mean 4.55, SD 2.06; P<.001). These network changes were not associated with worsening function. The percentage of kin in the networks of pwMS increased (mean 46.06%, SD 29.34% to mean 54.36%, SD 30.16%; P=.003) during the pandemic, a change that was not seen in controls.

CONCLUSIONS

Our findings suggest that high perceived negative health influence in the network was associated with worse function in all participants during the pandemic. The networks of all participants became tighter knit, and the percentage of kin in the networks of pwMS increased during the pandemic. Despite these perturbations in social connections, network changes from the prepandemic to the pandemic period were not associated with worsening function in all participants, suggesting possible resilience.

Hearing and sociality: the implications of hearing loss on social life

Hearing is essential to the formation of social relationships and is the principal afferent of social life. Yet hearing loss, which is one of the most prevalent forms of sensory disability worldwide and is critical for social development, has received little attention from the social interventionalist perspective. The purpose of this mini-review is to describe the basic neurobiological principles of hearing and to explore the reciprocal relationships between social support, hearing loss, and its psychosocial comorbidities. We also discuss the role of social enrichment in sensorineural recovery and identify open questions within the fields of hearing physiology and social networks.

Personal social networks of people with Down syndrome

Studies in the neurotypical population have demonstrated that personal social networks can mitigate cognitive decline and the development of Alzheimer disease. To assess whether these benefits can also be extended to people with Down syndrome (DS), we studied whether and how personal networks can be measured in this population. We adapted a personal networks instrument previously created, validated, and implemented for the neurotypical population. We created two versions of the survey: one for participants with DS, ages 25 and older, and another for their study partners, who spent a minimum of 10 h/wk in a caregiver role. Participants with DS gave concordant data to those of study partners. Their personal networks included a median network size of 7.50, density 0.80, constraint 46.00, and effective size 3.07. Personal networks were composed of 50% kin, 80% who live within 15 miles, and 80% who eat a healthy diet. In this proof-of-principle study, we demonstrated that the personal networks of people with DS can be quantitatively analyzed, with no statistical difference between self-report and parent-proxy report. Future research efforts can now evaluate interventions to enhance personal networks for preventing Alzheimer disease in this population.

Exploring Naturalistic Diffusion of an Evidence-Based Mental Health Intervention across Peer Networks of Youth in Sierra Leone

BACKGROUND

Understanding the mechanisms by which evidence-based interventions (EBIs) for mental health are naturally diffused among youth in low-and middle-income countries-particularly those with histories of violence and civil unrest-can illuminate which intervention elements are most transferrable and inform scale-up decisions that support youth adjustment. This study explored the diffusion of an evidence-based mental health intervention-the Youth Readiness Intervention (YRI)-among peer networks of Sierra Leonean youth (aged 18-30) who participated in a trial of the intervention as integrated into youth entrepreneurship programs.

METHODS

Trained research assistants recruited index participants who had completed the YRI integrated within entrepreneurship training (N = 165) and control index participants (N = 165). Index participants nominated three of their closest peers. Nominated peers were recruited and enrolled in the current study (N = 289). A sub-sample of index participants and peers participated in dyadic interviews (N = 11) and focus group discussions (N = 16). Multivariate regression analysis compared YRI knowledge levels among YRI participants' peers relative to control participants' peers.

RESULTS

Qualitative findings supported the diffusion of several YRI skills and components across peer networks (i.e., progressive muscle relaxation and diaphragmatic breathing). Quantitative findings indicated that YRI knowledge was significantly higher for YRI participants' peers (β = 0.02, p < 0.00) compared to control participants' peers.

CONCLUSION

Findings suggest that diffusion of evidence-based intervention components can occur naturally among peers in post-conflict LMIC settings. Developing tools to promote the diffusion of the most transferrable EBI components across peer networks could help maximize the benefits of mental health interventions for youth adjustment and resilience in post-conflict settings.

Social Network Characteristics and Correlations With Cognitive, Psychosocial, and Speech Function and Communication Participation for Adults With Multiple Sclerosis: A Pilot Study

PURPOSE

This cross-sectional observational pilot study investigated egocentric social networks for 10 paired sex- and age-matched adults with and without multiple sclerosis (MS). This study also investigated the relationship between social network measures and various disease factors associated with MS. The relationship between social network measures and communication participation restrictions was also examined.

METHOD

Participants completed a seven-item social network survey. Social network structure and composition were quantified. The network organization measures (structure analysis) included the total number of members (network size) and extent to which members are connected (network density). The measured characteristics of people around a participant (composition analysis) included the amount of kin relative to network size (proportion of kin), gender variation (gender diversity index), and age variation (standard deviation of age). Standard clinical neuropsychological, psychosocial, and speech metrics quantified processing speed, memory, depression, fatigue, and sentence intelligibility. Measures of communication participation and MS severity were also obtained.

RESULTS

Matched-pairs tests indicated that the proportion of kin significantly differed between paired participants, whereas all other social network measures were similar. For participants with MS, correlation analyses indicated weak associations between proportion of kin and cognitive, psychosocial, and speech measures. However, strong correlations were found between social network size and processing speed, memory, fatigue, MS severity, and communication participation. Gender diversity index also strongly correlated with depression.

CONCLUSIONS

Results from this pilot study highlight the importance of evaluating egocentric networks in the clinical management of MS, as maintaining nonkin friendships may be difficult for adults with MS making them vulnerable to social isolation. Furthermore, those with small and less diverse networks may experience more severe cognitive and psychosocial problems and limited communication participation.

Lessons Learned in Outpatient Physical Therapy for Motor Functional Neurological Disorder

BACKGROUND AND PURPOSE

Motor functional neurological disorder is a prevalent and costly condition at the intersection of neurology and psychiatry that is diagnosed using positive "rule-in" signs. Physical therapy is a first-line treatment and consensus recommendations exist to guide clinical care. Nonetheless, optimal outpatient treatment of adults with functional motor symptoms requires an expanded physical therapy tool kit to effectively guide care.

SUMMARY OF KEY POINTS

In this article, lessons learned from a physical therapist practicing in a multidisciplinary and interdisciplinary outpatient functional neurological disorder clinic are highlighted. In doing so, we discuss how use of the biopsychosocial model and neuroscience constructs can inform physical therapy interventions. The importance of team-based care and the delivery of physical therapy through video telehealth services are also outlined.

RECOMMENDATIONS FOR CLINICAL PRACTICE

Use of the biopsychosocial formulation to triage clinical challenges and guide longitudinal care, coupled with application of neuroscience to aid intervention selection, allows for patient-centered physical therapy treatment across the spectrum of functional motor symptoms.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A400 ).

Measuring Social Health Following Pediatric Critical Illness: A Scoping Review and Conceptual Framework

OBJECTIVE

Social health is an important component of recovery following critical illness as modeled in the pediatric Post-Intensive Care Syndrome framework. We conducted a scoping review of studies measuring social outcomes (measurable components of social health) following pediatric critical illness and propose a conceptual framework of the social outcomes measured in these studies.

DATA SOURCES

PubMed, EMBASE, PsycINFO, CINAHL, and the Cochrane Registry.

STUDY SELECTION

We identified studies evaluating social outcomes in pediatric intensive care unit (PICU) survivors or their families from 1970-2017 as part of a broader scoping review of outcomes after pediatric critical illness.

DATA EXTRACTION

We identified articles by dual review and dual-extracted study characteristics, instruments, and instrument validation and administration information. For instruments used in studies evaluating a social outcome, we collected instrument content and described it using qualitative methods adapted to a scoping review.

DATA SYNTHESIS

Of 407 articles identified in the scoping review, 223 (55%) evaluated a social outcome. The majority were conducted in North America and the United Kingdom, with wide variation in methodology and population. Among these studies, 38 unique instruments were used to evaluate a social outcome. Specific social outcomes measured included individual (independence, attachment, empathy, social behaviors, social cognition, and social interest), environmental (community perceptions and environment), and network (activities and relationships) characteristics, together with school and family outcomes. While many instruments assessed more than one social outcome, no instrument evaluated all areas of social outcome.

CONCLUSIONS

The full range of social outcomes reported following pediatric critical illness were not captured by any single instrument. The lack of a comprehensive instrument focused on social outcomes may contribute to under-appreciation of the importance of social outcomes and their under-representation in PICU outcomes research. A more comprehensive evaluation of social outcomes will improve understanding of overall recovery following pediatric critical illness.

Impact of the COVID-19 Pandemic on Personal Networks and Neurological Outcomes of People with Multiple Sclerosis: A Case-Control Cross-sectional and Longitudinal Analysis

Background

The COVID-19 pandemic has negatively impacted the social fabric of people with multiple sclerosis (pwMS).

Objective

To evaluate the associations between personal social network environment and neurological function in pwMS and controls during the COVID-19 pandemic and compare with the pre-pandemic baseline.

Methods

We first analyzed data collected from 8 cohorts of pwMS and control participants during the COVID-19 pandemic (March-December 2020). We then leveraged data collected between 2017-2019 in 3 of the 8 cohorts for longitudinal comparison. Participants completed a questionnaire that quantified the structure and composition of their personal social network, including the health behaviors of network members. We assessed neurological disability using three interrelated patient-reported outcomes: Patient Determined Disease Steps (PDDS), Multiple Sclerosis Rating Scale â€" Revised (MSRS-R), and Patient Reported Outcomes Measurement Information System (PROMIS)-Physical Function. We identified the network features associated with neurologic disability using paired t-tests and covariate-adjusted regressions.

Results

In the cross-sectional analysis of the pandemic data from 1130 pwMS and 1250 control participants, higher percent of network members with a perceived negative health influence was associated with greater neurological symptom burden in pwMS (MSRS-R: Beta[95% CI]=2.181[1.082, 3.279], p<.001) and worse physical function in controls (PROMIS-Physical Function: Beta[95% CI]=-5.707[-7.405, -4.010], p<.001). In the longitudinal analysis of 230 pwMS and 136 control participants, the networks of both pwMS and controls experienced an increase in constraint (pwMS p=.006, control p=.001) as well as a decrease in network size (pwMS p=.003, control p<.001), effective size (pwMS p=.007, control p=.013), maximum degree (pwMS p=.01, control p<.001), and percent contacted weekly or less (pwMS p<.001, control p<.001), suggesting overall network contraction during the COVID-19 pandemic. There was also an increase in percentage of kin (p=.003) in the networks of pwMS but not controls during the COVID-19 pandemic when compared to the pre-pandemic baseline. These changes in personal social network due to the pandemic were not associated with worsening neurological disability during the pandemic.

Conclusions

Our findings suggest that perceived negative health influences in personal social networks are associated with worse disability in all participants during the COVID-19 pandemic. Despite the perturbation in social environment and connections during the pandemic, the stability in neurological function among pwMS suggests potential resilience.

Enhancing the role of the social network in activity (re)engagement post-stroke: a focus group study with rehabilitation professionals

BACKGROUND

People post-stroke are at risk of not being able to participate in valued activities. It is important that rehabilitation professionals prepare people post-stroke for the transition home and provide needed support when they live at home. Several authors have suggested that members of the broad social network should play an active role in rehabilitation. This includes informing them about the importance of activity (re)engagement post-stroke and learning strategies to provide support. It is not clear when and how the broad social network can best be equipped to provide adequate activity support. This study aimed to explore stroke professionals' perspectives on strategies that establish a social network that supports activity (re)engagement of people post-stroke, when strategies are best implemented, and the factors that influence the implementation of these strategies.

METHODS

Two focus groups were executed. Content analysis was used to analyze the transcripts of the recorded conversations.

RESULTS

Eighteen professionals with various professional backgrounds and roles in treating people post-stroke participated. Strategies to establish a supportive social network included identifying, expanding, informing, and actively engaging network members. Working with the network in the immediate post-stroke phase was regarded as important for improving long-term activity outcomes. Participants expressed that most strategies to equip the social network to support people post-stroke need to take place within community care. However, the participants experienced difficulties in implementing network strategies. Perceived barriers included interprofessional collaboration, professional knowledge, self-efficacy, and financial structures.

CONCLUSIONS

Strategies to involve the social network of people post-stroke are not fully implemented. Although identifying members of a social network should begin during inpatient rehabilitation, the main part of actively engaging the network will have to take place when the people post-stroke return home. Implementing social network strategies requires a systematic process focusing on collaboration, knowledge, attitude, and skill development.

Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model

Depression is a kind of emotion that negatively impacts people's daily lives. The number of people suffering from long-term feelings is increasing every year across the globe. Depressed patients may engage in self-harm behaviors, which occasionally result in suicide. Many psychiatrists struggle to identify the presence of mental illness or negative emotion early to provide a better course of treatment before they reach a critical stage. One of the most challenging problems is detecting depression in people at the earliest possible stage. Researchers are using Natural Language Processing (NLP) techniques to analyze text content uploaded on social media, which helps to design approaches for detecting depression. This work analyses numerous prior studies that used learning techniques to identify depression. The existing methods suffer from better model representation problems to detect depression from the text with high accuracy. The present work addresses a solution to these problems by creating a new hybrid deep learning neural network design with better text representations called "Fasttext Convolution Neural Network with Long Short-Term Memory (FCL)." In addition, this work utilizes the advantage of NLP to simplify the text analysis during the model development. The FCL model comprises fasttext embedding for better text representation considering out-of-vocabulary (OOV) with semantic information, a convolution neural network (CNN) architecture to extract global information, and Long Short-Term Memory (LSTM) architecture to extract local features with dependencies. The present work was implemented on real-world datasets utilized in the literature. The proposed technique provides better results than the state-of-the-art to detect depression with high accuracy.

Repeating patterns: Predictive processing suggests an aesthetic learning role of the basal ganglia in repetitive stereotyped behaviors

Recurrent, unvarying, and seemingly purposeless patterns of action and cognition are part of normal development, but also feature prominently in several neuropsychiatric conditions. Repetitive stereotyped behaviors (RSBs) can be viewed as exaggerated forms of learned habits and frequently correlate with alterations in motor, limbic, and associative basal ganglia circuits. However, it is still unclear how altered basal ganglia feedback signals actually relate to the phenomenological variability of RSBs. Why do behaviorally overlapping phenomena sometimes require different treatment approaches-for example, sensory shielding strategies versus exposure therapy for autism and obsessive-compulsive disorder, respectively? Certain clues may be found in recent models of basal ganglia function that extend well beyond action selection and motivational control, and have implications for sensorimotor integration, prediction, learning under uncertainty, as well as aesthetic learning. In this paper, we systematically compare three exemplary conditions with basal ganglia involvement, obsessive-compulsive disorder, Parkinson's disease, and autism spectrum conditions, to gain a new understanding of RSBs. We integrate clinical observations and neuroanatomical and neurophysiological alterations with accounts employing the predictive processing framework. Based on this review, we suggest that basal ganglia feedback plays a central role in preconditioning cortical networks to anticipate self-generated, movement-related perception. In this way, basal ganglia feedback appears ideally situated to adjust the salience of sensory signals through precision weighting of (external) new sensory information, relative to the precision of (internal) predictions based on prior generated models. Accordingly, behavioral policies may preferentially rely on new data versus existing knowledge, in a spectrum spanning between novelty and stability. RSBs may then represent compensatory or reactive responses, respectively, at the opposite ends of this spectrum. This view places an important role of aesthetic learning on basal ganglia feedback, may account for observed changes in creativity and aesthetic experience in basal ganglia disorders, is empirically testable, and may inform creative art therapies in conditions characterized by stereotyped behaviors.

Applying a biopsychosocial model to migraine: rationale and clinical implications

Migraine is a complex condition in which genetic predisposition interacts with other biological and environmental factors determining its course. A hyperresponsive brain cortex, peripheral and central alterations in pain processing, and comorbidities play a role from an individual biological standpoint. Besides, dysfunctional psychological mechanisms, social and lifestyle factors may intervene and impact on the clinical phenotype of the disease, promote its transformation from episodic into chronic migraine and may increase migraine-related disability.Thus, given the multifactorial origin of the condition, the application of a biopsychosocial approach in the management of migraine could favor therapeutic success. While in chronic pain conditions the biopsychosocial approach is already a mainstay of treatment, in migraine the biomedical approach is still dominant. It is instead advisable to carefully consider the individual with migraine as a whole, in order to plan a tailored treatment. In this review, we first reported an analytical and critical discussion of the biological, psychological, and social factors involved in migraine. Then, we addressed the management implications of the application of a biopsychosocial model discussing how the integration between non-pharmacological management and conventional biomedical treatment may provide advantages to migraine care.

A Prospective Comparative Study of Health Inequalities and the Epidemiology of Stroke in French Guiana and Dijon, France

Background

In French Guiana poverty is widespread and specialized care is lacking. We aimed to compare strokes between precarious and non-precarious patients within French Guiana and to compare the epidemiology of ischemic strokes and their outcomes between French Guiana and mainland France.

Methods

A multicenter prospective cohort examined the influence of social inequalities on stroke characteristics. Consecutive patients aged > 18 years admitted for an acute ischemic stroke, confirmed by neuroimaging were eligible. Exclusion criteria were a history of symptomatic stroke, presence of other short-term life-threatening diseases and inability to contact patients by telephone during follow-up. Social deprivation was measured using the EPICES score, which is based on a multidimensional questionnaire.

Results

Overall, 652 patients with ischemic stroke were included. The patients in French Guiana were 7 years younger, were more frequently male, of sub-Saharan ancestry, they had a low level of education, and were more often precarious (67.7%) than the patients included in Dijon (39.2%). The origin of the ischemic stroke was predominantly lacunar for patients included in French Guiana and cardioembolic for patients included in Dijon, with greater severity for patients included in Dijon. The proportion of patients with known pre-stroke hypertension, diabetes, or a history of Transient Ischemic Accident was greater in French Guiana than in Dijon. In contrast, hypercholesterolemia, atrial fibrillation, and history of Myocardial Infarction were more frequently found in patients included in Dijon than in patients included in French Guiana. Fibrinolysis was less frequent in French Guiana than in Dijon, 24% of patients arriving early enough receiving thrombolysis in French Guiana vs. 45% in Dijon, P < 0.0001. However, after adjustment for patient characteristics, the effect of the center on the use of fibrinolysis disappeared. When comparing precarious and non-precarious patients within French Guiana, the main difference was the younger age and the lower mortality of precarious patients—notably immigrants.

Conclusion

Precariousness was widespread in French Guiana. Within French Guiana, despite a younger age among foreigners than French patients, the risk factors, mechanisms, and outcomes were homogenous across socioeconomic strata. The observed differences between the two contrasted French territories suggested that, beyond health inequalities, the epidemiology of cardiovascular risk factors may differ between French Guiana and mainland France.

Using the Biopsychosocial Model to Guide Patient-Centered Neurological Treatments

The biopsychosocial model was defined by George L. Engel to propose a holistic approach to patient care. Through this model, physicians can understand patients in their context to aid the development of tailored, individualized treatment plans that consider relevant biological, psychological, and social-cultural-spiritual factors impacting health and longitudinal care. In this article, we advocate for the use of the biopsychosocial model in neurology practice across outpatient and inpatient clinical settings. To do so, we first present the history of the biopsychosocial model, and its relationships to precision medicine and deep phenotyping. Then, we bring the neurologist up-to-date information on the components of the biopsychosocial clinical formulation, including predisposing, precipitating, perpetuating, and protective factors. We conclude by detailing illustrative neurological case examples using the biopsychosocial model, emphasizing the importance of considering relevant psychological and social factors to aid the delivery of patient-centered clinical care in neurology.

From Three-Months to Five-Years: Sustaining Long-Term Benefits of Endovascular Therapy for Ischemic Stroke

Background and Purpose: During the months and years post-stroke, treatment benefits from endovascular therapy (EVT) may be magnified by disability-related differences in morbidity/mortality or may be eroded by recurrent strokes and non-stroke-related disability/mortality. Understanding the extent to which EVT benefits may be sustained at 5 years, and the factors influencing this outcome, may help us better promote the sustenance of EVT benefits until 5 years post-stroke and beyond.

Methods: In this review, undertaken 5 years after EVT became the standard of care, we searched PubMed and EMBASE to examine the current state of the literature on 5-year post-stroke outcomes, with particular attention to modifiable factors that influence outcomes between 3 months and 5 years post-EVT.

Results: Prospective cohorts and follow-up data from EVT trials indicate that 3-month EVT benefits will likely translate into lower 5-year disability, mortality, institutionalization, and care costs and higher quality of life. However, these group-level data by no means guarantee maintenance of 3-month benefits for individual patients. We identify factors and associated “action items” for stroke teams/systems at three specific levels (medical care, individual psychosocioeconomic, and larger societal/environmental levels) that influence the long-term EVT outcome of a patient. Medical action items include optimizing stroke rehabilitation, clinical follow-up, secondary stroke prevention, infection prevention/control, and post-stroke depression care. Psychosocioeconomic aspects include addressing access to primary care, specialist clinics, and rehabilitation; affordability of healthy lifestyle choices and preventative therapies; and optimization of family/social support and return-to-work options. High-level societal efforts include improving accessibility of public/private spaces and transportation, empowering/engaging persons with disability in society, and investing in treatments/technologies to mitigate consequences of post-stroke disability.

Conclusions: In the longtime horizon from 3 months to 5 years, several factors in the medical and societal spheres could negate EVT benefits. However, many factors can be leveraged to preserve or magnify treatment benefits, with opportunities to share responsibility with widening circles of care around the patient.

Proceedings of the First Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness

Coma and disorders of consciousness (DoC) are highly prevalent and constitute a burden for patients, families, and society worldwide. As part of the Curing Coma Campaign, the Neurocritical Care Society partnered with the National Institutes of Health to organize a symposium bringing together experts from all over the world to develop research targets for DoC. The conference was structured along six domains: (1) defining endotype/phenotypes, (2) biomarkers, (3) proof-of-concept clinical trials, (4) neuroprognostication, (5) long-term recovery, and (6) large datasets. This proceedings paper presents actionable research targets based on the presentations and discussions that occurred at the conference. We summarize the background, main research gaps, overall goals, the panel discussion of the approach, limitations and challenges, and deliverables that were identified.

Social aspects of life in patients with functional seizures: Closing the gap in the biopsychosocial formulation

The human, as a biological system, is an open system embedded within larger systems -including the family, culture, and socio-political environment. In this context, a patient with functional seizures (FS) is embedded in relationships, educational/professional institutions, culture, and society. Both connection to these broader systems and the quality of these connections, as well as the soundness of each system in and of itself, influence the health and well-being of patients in positive or negative ways. The social aspects of life are important determinants of health and quality of life across the lifespan. The current narrative review brings out several overarching themes in patients with FS. Sections on attachment, marriage, social networking, and stigma highlight the central roles of supportive and affirmative relationships across the lifespan. The section on education underscores the importance of keeping children and youth with FS connected within their school environments, as well as managing any barriers - learning difficulties, school response to FS events, stigma, etc.-that can diminish this connection. Finally, the sections on employment and driving highlight the value of being an active participant in one's society. In summary, FS impacts patients across most social aspects of life domains regardless of age - factors that are important when developing biopsychosocial formulations. This review concludes that the multidisciplinary management of FS requires careful assessment of social aspects of life in patients which can then be targeted for treatment, to improve their quality of life, facilitating recovery, and reducing the risk of relapse.

Social Network Structure Is Related to Functional Improvement From Home-Based Telerehabilitation After Stroke

Objective: Telerehabilitation (TR) is now, in the context of COVID-19, more clinically relevant than ever as a major source of outpatient care. The social network of a patient is a critical yet understudied factor in the success of TR that may influence both engagement in therapy programs and post-stroke outcomes. We designed a 12-week home-based TR program for stroke patients and evaluated which social factors might be related to motor gains and reduced depressive symptoms. Methods: Stroke patients (n = 13) with arm motor deficits underwent supervised home-based TR for 12 weeks with routine assessments of motor function and mood. At the 6-week midpoint, we mapped each patient's personal social network and evaluated relationships between social network metrics and functional improvements from TR. Finally, we compared social networks of TR patients with a historical cohort of 176 stroke patients who did not receive any TR to identify social network differences. Results: Both network size and network density were related to walk time improvement (p = 0.025; p = 0.003). Social network density was related to arm motor gains (p = 0.003). Social network size was related to reduced depressive symptoms (p = 0.015). TR patient networks were larger (p = 0.012) and less dense (p = 0.046) than historical stroke control networks. Conclusions: Social network structure is positively related to improvement in motor status and mood from TR. TR patients had larger and more open social networks than stroke patients who did not receive TR. Understanding how social networks intersect with TR outcomes is crucial to maximize effects of virtual rehabilitation.

Social network structure and composition in former NFL football players

Social networks have broad effects on health and quality of life. Biopsychosocial factors may also modify the effects of brain trauma on clinical and pathological outcomes. However, social network characterization is missing in studies of contact sports athletes. Here, we characterized the personal social networks of former National Football League players compared to non-football US males. In 303 former football players and 269 US males, we found that network structure (e.g., network size) did not differ, but network composition (e.g., proportion of family versus friends) did differ. Football players had more men than women, and more friends than family in their networks compared to US males. Black players had more racially diverse networks than White players and US males. These results are unexpected because brain trauma and chronic illnesses typically cause diminished social relationships. We anticipate our study will inform more multi-dimensional study of, and treatment options for, contact sports athletes. For example, the strong allegiances of former athletes may be harnessed in the form of social network interventions after brain trauma. Because preserving health of contact sports athletes is a major goal, the study of social networks is critical to the design of future research and treatment trials.

Delirium prevalence in a Colombian hospital, association with geriatric syndromes and complications during hospitalization

BACKGROUND

The aim of this paper is to describe the prevalence of Delirium and the factors associated with its presentation and complications identified in a geriatric unit in Colombia.

MATERIAL AND METHODS

This is a retrospective observational study that included all patients admitted consecutively for two years in a geriatric unit of a hospital in Bogotá, Colombia. We assessed delirium prevalence with the Confusion Assessment Method (CAM). The independent variables were age, sex, functional impairment (Barthel<90), malnutrition (MNA<12), pressure ulcers at admission, state of the social support network, number of comorbidities, polypharmacy (5 or more drugs), complications such as ICU requirement, hospital stay, in-hospital functional impairment and mortality were also evaluated. As an exclusion criterion: not having CAM registered in the medical record, all the patients had this information.

RESULTS

We studied 1599 subjects with a mean age of 86 years (IQR 9). Delirium prevalence was 51.03%. Delirium was associated with a higher rate of: pressure ulcers on admission [OR 3.76 (CI 2.60-5.43 p<0.001)], functional impairment [OR 2.38 (CI 1.79-3.16 p<0.001)], malnutrition [OR 2.06 (CI 1.56-2.73 p<0.001)], and infection [OR 1.46 (CI 1.17-1.82 p<0.001)]. Moreover delirium has a higher association with mortality [OR 2.80 (1.03-7.54 p=0.042)], in-hospital functional decline [OR 1.82 (1.41-2.36 p<0.001)], and longer hospital stay [OR 1.04 (1.04-1.09 p=0.006)]; independently of age, sex, pressure ulcers on admission, functional impairment, malnutrition, dementia, infection and limited social network.

CONCLUSION

Our study suggests that infectious diseases and geriatric syndromes such as, functional dependence, pressure ulcers, malnutrition or major cognitive impairment are independently associated with the presence of delirium on admission. Additionally, the presence of delirium is independently associated during hospitalization with complications, longer hospital stay, functional impairment and mortality.

Leveraging Trends in Neurology Admissions for Departmental Planning During the COVID-19 Pandemic

The COVID-19 pandemic has led to shifts in healthcare utilization for patients both with and without COVID-19. We aimed to determine how trends in neurology service admissions during the pandemic may aid in departmental planning by predicting future clinician staffing and other needs. We examined all admissions to the general neurology, stroke, and neurocritical care services from January 31 to May 16, 2020 at our tertiary-care hospital using an electronic health record query, comparing these to analogous data in 2019. We trended admission rates and projected future censuses using logarithmic regression, tracked changes in length of stay (LOS), and quantified shifts in presentations of specific diagnoses. Daily rates of admissions declined sharply during the week of March 13, 2020 (the week after pandemic status was declared by the World Health Organization). On the censoring date, we projected a return to pre-pandemic censuses in the week of June 21 and used this information to make decisions regarding neurology resident schedules. There was a trend toward increased LOS for general neurology and stroke patients between March 27 and April 9, 2020 compared to in 2019, with subsequent decline coinciding with early hospital initiatives. Since March 13, 2020, there has been a trend toward reduced presentations of ischemic stroke, suggesting a need for community education on stroke awareness. Characterizing early trends in neurology admissions may allow physician administrators to plan local and community-level responses to the pandemic.

Head-to-Head Comparison of Social Network Assessments in Stroke Survivors

Background and Purpose

Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale-Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member.

Methods

In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET's network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size.

Results

We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5.

Conclusions

Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.

Association of social network structure and physical function in patients with multiple sclerosis

OBJECTIVE

To test the association between physical function and the social environment in multiple sclerosis (MS), we quantified personal social networks.

METHODS

In this cross-sectional study, we analyzed data from 2 academic MS centers, with center 1 serving as a discovery group and center 2 as the extension group. We performed a meta-analysis of the centers to extend the analysis. We used responses from a questionnaire to map the structure and health habits of participants' social networks as well as the NIH Patient-Reported Outcomes Measurement Information System (PROMIS) physical function scale (0-100, mean 50 for US general population) as the primary outcome. We applied multivariable models to test the association between network metrics and physical function.

RESULTS

The discovery cohort included 263 patients with MS: 81% were women, 96% non-Hispanic European, 78% had relapsing MS, average age was 50 (12.4) years, and mean disease duration was 17 (12.3) years. The extension group included 163 patients, who were younger, more racially diverse, and less physically disabled, and had shorter disease duration. In the meta-analysis, higher network constraint, a measure of tightly bound networks, was associated with worse physical function (β = -0.163 ± 0.047, p < 0.001), while larger network effective size, a measure of clustered groups in the network, correlated with better physical function (β = 0.134 ± 0.046, p = 0.003).

CONCLUSIONS

Our study highlights personal networks as an important environmental factor associated with physical function in MS. Patients with close-knit networks had worse function than those with more open networks. Longitudinal studies are warranted to evaluate a causal relationship between network structure and physical impairment.

Efficient Algorithms towards Network Intervention

Research suggests that social relationships have substantial impacts on individuals' health outcomes. Network intervention, through careful planning, can assist a network of users to build healthy relationships. However, most previous work is not designed to assist such planning by carefully examining and improving multiple network characteristics. In this paper, we propose and evaluate algorithms that facilitate network intervention planning through simultaneous optimization of network degree, closeness, betweenness, and local clustering coefficient, under scenarios involving Network Intervention with Limited Degradation - for Single target (NILD-S) and Network Intervention with Limited Degradation - for Multiple targets (NILD-M). We prove that NILD-S and NILD-M are NP-hard and cannot be approximated within any ratio in polynomial time unless P=NP. We propose the Candidate Re-selection with Preserved Dependency (CRPD) algorithm for NILD-S, and the Objective-aware Intervention edge Selection and Adjustment (OISA) algorithm for NILD-M. Various pruning strategies are designed to boost the efficiency of the proposed algorithms. Extensive experiments on various real social networks collected from public schools and Web and an empirical study are conducted to show that CRPD and OISA outperform the baselines in both efficiency and effectiveness.

Neighborhood-based social capital and cognitive function among older adults in five low- and middle-income countries: Evidence from the World Health Organization Study on global AGEing and adult health

OBJECTIVES

This study aims to investigate which neighborhood-based social capital components are associated with a higher level of cognitive function in LMICs.

METHODS

This international population-based study used cross-sectional survey data from the World Health Organization's Study on global AGEing and adult health (SAGE), a study of adults aged 50 years or older in China, Ghana, India, the Russian Federation, and South Africa from 2007 through 2010 (N = 29 528). Associations between neighborhood-based social capital indicators (trust in neighbors, perceived neighborhood safety, and community participation) and cognitive function were examined using ordinary least squares regressions and random-effects meta-analyses.

RESULTS

Results of the meta-analyses of within-country effects indicated that trust in neighbors were positively associated with cognitive function across India, Russia, and Ghana, but negatively associated in South Africa (β = -0.041, SE = .013, P < .01) and no effect in China (P > .05). The significant effect of perceived neighborhood safety was only found in South Africa (β = 0.051, SE = .007, P < .001) and China (β = 0.030, SE = .005, P < .001). Community participation approached a null effect in South Africa (P > .05).

DISCUSSION

Different indicators of neighborhood-based social capital, which are well-established protective resources for cognitive function, may have varied relationships with cognitive function cross-nationally. This finding provides a better understanding of the mechanisms by which neighborhood social capital may contribute to better cognitive function in LMICs than high-income countries, potentially due to differences in neighborhood environments, health systems, and availability of public resources.

Individual differences in social network size linked to nucleus accumbens and hippocampal volumes in functional neurological disorder: A pilot study

BACKGROUND

In the biopsychosocial formulation of functional neurological (conversion) disorder (FND), little is known about relationships between social behavior and brain anatomy. We hypothesized that social behavior would relate to brain areas implicated in affiliative behaviors and that social network size would correlate with symptom severity and predisposing vulnerabilities in FND.

METHODS

This neuroimaging pilot probed how social network size, as measured by the Social Network Index, related to structural brain profiles in 23 patients with motor FND (15 woman and 8 men). FreeSurfer cortical thickness and subcortical volumetric analyses were performed correcting for multiple comparisons. Stratified analyses compared FND patients with a low social network size to matched healthy controls. Secondary exploratory analyses in an expanded sample of 38 FND patients investigated relationships between social network size, risk factors and patient-reported symptom severity.

RESULTS

Adjusting for age and gender, neuroimaging analyses showed that social network size positively correlated with left nucleus accumbens and hippocampal volumes in patients with FND; stratified analyses did not show any group-level differences. In individuals with FND, social network size correlated with health-related quality of life, graduating college, working full-time and a non-epileptic seizure diagnosis; social network size inversely related to lifetime trauma burden, post-traumatic stress disorder severity and age.

LIMITATIONS

Only patient-reported scales were used and social network size information was not collected for healthy subjects.

CONCLUSIONS

This neuroimaging pilot adds to the literature linking affiliation network brain areas to pro-social behaviors and enhances the biopsychosocial conceptualization of FND.

eSupport: Feasibility trial of telehealth support group participation to reduce loneliness in multiple sclerosis

BACKGROUND

Loneliness is a risk factor for increased morbidity and mortality. Persons with multiple sclerosis (pwMS) are at increased risk for loneliness. Support groups facilitate meaningful social connections.

OBJECTIVE

To conduct a feasibility trial of eSupport: online support groups.

METHODS

Participants engaged in 1 hour/week eSupport or eJournal (active control). Primary outcome was feasibility (completion and adherence). We evaluated loneliness and depressive symptoms for preliminary efficacy.

RESULTS

Feasibility outcomes were met: completion rate was 96.4%; 88.9% were adherent. Loneliness and depression showed trend-level decreases in both conditions.

CONCLUSION

Feasibility of telehealth support group participation for pwMS was supported. eSupport is accessible, affordable, acceptable, and scalable. Results warrant a randomized controlled trial to support efficacy.

Social Network Mapping and Functional Recovery Within 6 Months of Ischemic Stroke

Objective. Stroke recovery is a multidimensional process influenced by biological and psychosocial factors. To understand the latter, we mapped the social networks of stroke patients, analyzing their changes and effects on physical function at 3 and 6 months after stroke. Methods. We used a quantitative social network assessment tool to map the structure and health habits embedded in patients' personal social networks. The physical function outcome was determined using the National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Scale (0-100, mean 50 for US general population). We used mixed-effects models to assess changes in social network metrics. We used multivariable models to test the association between social networks and physical function, independent of demographics, socioeconomic status, clinical characteristics, comorbidities, cognition, and depression. Results. The cohort consisted of 172 patients, with mostly mild motor-predominant stroke (median NIH Stroke Scale of 2) with retention of 149 at 3 months and 139 at 6 months. An average patient's network over 6 months contracted by 1.25 people and became denser and family oriented. Network composition also became healthier with pruning of ties with people who smoked or did not exercise. The baseline network size, and not density or health habits in the network, was independently associated with 3- and 6-month physical function PROMIS scores. Patients embedded in small kin-based networks reported more negative social interactions. Conclusions. Despite social networks becoming smaller and close-knit after stroke, they also become healthier. Larger baseline social networks are independently associated with better patient-reported physical function after stroke.

Activity resumption after acquired brain injury: the influence of the social network as described by social workers

PURPOSE

To understand how the social network of patients with acquired brain injury facilitates or hinders resumption of their activities, such as social and leisure activities, and how this affects patients' well-being and quality of life.

METHODS

Thematic analysis was applied to 70 narratives about family members, friends, neighbors and colleagues helping or hindering patients in resuming their activities. The narratives were derived from social workers with extensive experience with brain-injured patients and their social networks.

RESULTS

The narratives show that an available, understanding and well-informed network enhances activity resumption by being inclusive and encouraging patients to develop their skills. This is in line with earlier studies based on patients' experiences. Whereas the patient-based studies emphasize that being unsupportive or overprotective hinders patients from resuming their activities, this study also shows that preventing patients from meeting others or placing too-high demands results in activity loss, social isolation and reduced well-being and quality of life.

CONCLUSIONS

Several social network factors play a role in activity resumption, well-being, and quality of life of after brain injury. Early after the brain injury, rehabilitation professionals should work with patients' family members, friends, and others and educate them about how to provide adequate support.IMPLICATIONS FOR REHABILITATIONSince the patient's social network is an important determinant of activity resumption, rehabilitation professionals should analyze its features soon after brain injury, such as whether patients have an understanding network that encourages them and includes them in their activities.Since especially close network members tend to be protective of or place high demands on the patient, rehabilitation professionals should explain to them the importance of activity resumption for the patient's wellbeing and the adverse effects of being overprotective or over-demanding.Rehabilitation professionals should include other network members, such as friends or colleagues, in the rehabilitation process and educate them about how to support patients in resuming their activities.

Impact of social support on oral health among immigrants and ethnic minorities: A systematic review

Objective

Adaptation to social life changes after migration may be beneficial or detrimental to migrants’ oral health outcomes and related behaviors. This systematic review aims to synthesize the scientific literature on the impact of social support on immigrants’ and ethnic minorities’ oral health status and/or behaviors.

Methods

A comprehensive electronic search, up to November 2018, was conducted using five electronic databases. We included cross-sectional and longitudinal quantitative studies that examine associations between social support and oral health outcomes among immigrants and ethnic minorities. Study selection, data extraction, and risk of bias assessment were completed in duplicate and the Newcastle-Ottawa checklist was used to appraise the methodological quality of the quantitative studies.

Results

A total of 26 studies met the eligibility criteria. Included studies examined multiple oral health outcomes such as dental care utilization, oral health behaviors, oral health problems, self-rated oral health, oral health knowledge, and oral health-related quality of life among immigrants and ethnic minorities. The social support level is assessed either by social support indicators or by adapting certain scales. Overall, social support was found to be positively associated with dental care utilization, number of carious teeth, periodontal disease, oral health behaviors, oral health knowledge, oral health-related quality of life, and self-rated oral health.

Conclusion

Although immigrants and ethnic minorities encounter several challenges after migration to a new country that could affect their oral health, social support from their surrounding environment in the form of structural or functional support plays an important role in improving their oral health outcomes.

Social networks and risk of delayed hospital arrival after acute stroke

Arriving rapidly to the hospital after a heart attack or stroke is critical for patients to be within time windows for treatment. Prior research in heart attacks has suggested a paradoxical role of the social environment: those who arrive early are surrounded by nonrelatives, while those who arrive late are surrounded by spouses or family members. Here, we used network methods to more deeply examine the influence of social context in stroke. We examined the relationship of personal social networks and arrival time in 175 stroke patients. Our results confirmed the paradox by showing that small and close-knit personal networks of highly familiar contacts, independent of demographic, clinical, and socioeconomic factors, were related to delay. The closed network structure led to constricted information flow in which patients and close confidants, absent outside perspectives, elected to watch-and-wait. Targeting patients with small, close-knit networks may be one strategy to improve response times.

Rapid arrival to hospital after stroke is critical for patients to receive effective treatment. Here, the authors examine how stroke patients’ social network structure relates to stroke arrival time, and show that small and close-knit personal networks predict delayed arrival.

Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life

OBJECTIVE

To identify trends in mobility and daily pain levels among a cohort of patients with clinically diagnosed spine disease.

METHODS

Participants with spine disease were enrolled from a general neurosurgical clinic and installed a smartphone application (Beiwe) designed for digital phenotyping to their personal smartphone. This application collected passive meta-data on a minute-to-minute basis, including global positioning system (GPS), WiFi, accelerometer, text and telephone logs, and screen on and off time. The application also administered daily visual analog scale pain surveys. A linear mixed model framework was used to test for associations between self-reported pain and mobility and sociability from the passively collected data.

RESULTS

A total of 105 patients were enrolled, with a median follow-up time of 94.5 days; 55 patients underwent a surgical intervention during the follow-up period. The weekly pain survey response rate was 73.2%. By the end of follow-up, the mean change in pain for all patients was -1.3 points (4.96 at the start of follow-up to 3.66 by the end of follow-up). Increased pain was significantly associated with reduced patient mobility as measured using 3 daily GPS summary statistics (i.e., average flight length, maximum diameter travelled, total distance travelled).

CONCLUSIONS

Patients with spine disease who reported greater pain had reduced mobility, as measured by the passively collected smartphone GPS data. Smartphone-based digital phenotyping appears to be a promising and scalable approach to assess mobility and quality of life of patients with spine disease.

Social capital: Implications for neurology

Social capital (SC) is a broad term that encompasses the many resources derived from social connections. The contemporary study of SC in public health has deep roots in the related fields of sociology, economics, and politics. Its multidisciplinary nature and the varying potential ways it could affect individuals have resulted in different but overlapping models to approach SC in the health field. There are currently no standardized measures of SC, and even more challenging its impact on health outcomes seems to vary according to the level of analysis. Despite the accumulating evidence that supports a protective effect of SC on mental and physical health, and mortality, not enough attention has been paid to the potential drawbacks of SC. The role of SC in neurological disease is just beginning to be explored. Concerted efforts are needed to ensure that empirical evidence on SC could be properly translated into interventions for health-promoting purposes. In this paper, we review the current state of scientific knowledge on the subject of SC, with a focus on its application in the field of neurology.

A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks

Social networks are conduits of support, information, and health behavior flows. Existing measures of social networks used in clinical research are typically summative scales of social support or artificially truncated networks of ≤ 5 people. Here, we introduce a quantitative social network assessment tool on a secure open-source web platform, readily deployable in large-scale clinical studies. The tool maps an individual’s personal network, including specific persons, their relationships to each other, and their health habits. To demonstrate utility, we used the tool to measure the social networks of 1493 persons at risk of multiple sclerosis. We examined each person’s social network in relation to self-reported neurological disability. We found that the characteristics of persons surrounding the participant, such as negative health behaviors, were strongly associated with the individual’s functional disability. This quantitative assessment reveals the key elements of individuals’ social environments that could be targeted in clinical trials.

An individual’s social network—their friends, family, and acquaintances—is important for their health, but existing tools for assessing social networks have limitations. Here, the authors introduce a quantitative social network assessment tool on a secure open-source web platform and show its utility in a nation-wide study.

Social Network Trajectories in Myocardial Infarction Versus Ischemic Stroke

BACKGROUND

Changes in social networks are rarely examined before and after various diseases because of insufficient data. CHS (The Cardiovascular Health Study) offers an opportunity to compare social network trajectories surrounding well-adjudicated myocardial infarction (MI) or stroke events. We tested the hypothesis that social networks will be stable after MI and decrease after stroke.

METHODS AND RESULTS

We examined trajectories of the Lubben Social Network Scale score (LSNS, range 0-50) before and after vascular events over 11 years. The LSNS assesses engagement in family networks, friends' networks, and social supports. We used a linear mixed model with repeated measures and fixed effects to compare the change in social network score before and after events in 395 people with MI and 382 with ischemic stroke. Over a mean of 12.4 years of follow-up for MI and 11.1 years for stroke, we examined an average of 4 social network scores for each participant. We controlled for sociodemographics, baseline cognitive function, and comorbidities. The participants' mean age was 73.5, 51% were women, and 88% were non-Hispanic white. After MI, the social network trajectory remained stable compared with the baseline trajectory (-0.06 points per year, adjusted P=0.2356). After stroke, the social network trajectory declined compared with the baseline trajectory (-0.14 points per year, adjusted P=0.0364).

CONCLUSIONS

Social networks remained stable after MI and declined after stroke. This small and persistent decline after adjustment for potential confounders is notable because it deviates from stable network trajectories found in CHS participants and is specific to stroke.

Neurology and the Internet: a review

Nowadays, the Internet is the major source to obtain information about diseases and their treatments. The Internet is gaining relevance in the neurological setting, considering the possibility of timely social interaction, contributing to general public awareness on otherwise less-well-known neurological conditions, promoting health equity and improving the health-related coping. Neurological patients can easily find several online opportunities for peer interactions and learning. On the other hand, neurologist can analyze user-generated data to better understand patient needs and to run epidemiological studies. Indeed, analyses of queries from Internet search engines on certain neurological diseases have shown a strict temporal and spatial correlation with the "real world." In this narrative review, we will discuss how the Internet is radically affecting the healthcare of people with neurological disorders and, most importantly, is shifting the paradigm of care from the hands of those who deliver care, into the hands of those who receive it. Besides, we will review possible limitations, such as safety concerns, financial issues, and the need for easy-to-access platforms.

The Importance of Connection to Others in QoL in MSA and PSP

Multiple System Atrophy (MSA) and Progressive Supranuclear Palsy (PSP) are atypical Parkinsonian disorders with extended morbidity and reduced lifespan, known to have marked and early impact upon quality of life (QoL). This study aimed to address the lack of studies in the literature regarding personal perspectives on QoL in MSA and PSP in both patients and carers. Participants took part in qualitative, in-depth interviews in the North East of England, exploring what impacts their QoL and their experiences of living with these complex conditions. Connection to others was found to be a prevailing theme, encompassing difficulty communicating, social isolation, impact on personal relationships, and stigma. This work is helpful in that it emphasises the personal experiences of these patients and carers, which can provide insights into important areas for clinical service planning and best clinical management of individual patients as well as considerations for future research into QoL in these rare disorders.

An Interactive, Mobile-Based Tool for Personal Social Network Data Collection and Visualization Among a Geographically Isolated and Socioeconomically Disadvantaged Population: Early-Stage Feasibility Study With Qualitative User Feedback

BACKGROUND

Personal social networks have a profound impact on our health, yet collecting personal network data for use in health communication, behavior change, or translation and dissemination interventions has proved challenging. Recent advances in social network data collection software have reduced the burden of network studies on researchers and respondents alike, yet little testing has occurred to discover whether these methods are: (1) acceptable to a variety of target populations, including those who may have limited experience with technology or limited literacy; and (2) practical in the field, specifically in areas that are geographically and technologically disconnected, such as rural Appalachian Kentucky.

OBJECTIVE

We explored the early-stage feasibility (Acceptability, Demand, Implementation, and Practicality) of using innovative, interactive, tablet-based network data collection and visualization software (OpenEddi) in field collection of personal network data in Appalachian Kentucky.

METHODS

A total of 168 rural Appalachian women who had previously participated in a study on the use of a self-collected vaginal swab (SCVS) for human papillomavirus testing were recruited by community-based nurse interviewers between September 2013 and August 2014. Participants completed egocentric network surveys via OpenEddi, which captured social and communication network influences on participation in, and recruitment to, the SCVS study. After study completion, we conducted a qualitative group interview with four nurse interviewers and two participants in the network study. Using this qualitative data, and quantitative data from the network study, we applied guidelines from Bowen et al to assess feasibility in four areas of early-stage development of OpenEddi: Acceptability, Demand, Implementation, and Practicality. Basic descriptive network statistics (size, edges, density) were analyzed using RStudio.

RESULTS

OpenEddi was perceived as fun, novel, and superior to other data collection methods or tools. Respondents enjoyed the social network survey component, and visualizing social networks produced thoughtful responses from participants about leveraging or changing network content and structure for specific health-promoting purposes. Areas for improved literacy and functionality of the tool were identified. However, technical issues led to substantial (50%) data loss, limiting the success of its implementation from a researcher's perspective, and hindering practicality in the field.

CONCLUSIONS

OpenEddi is a promising data collection tool for use in geographically isolated and socioeconomically disadvantaged populations. Future development will mitigate technical problems, improve usability and literacy, and test new methods of data collection. These changes will support goals for use of this tool in the delivery of network-based health communication and social support interventions to socioeconomically disadvantaged populations.