Social work support and unmet social needs in life after stroke: a cross-sectional exploratory study

Social Work in Outpatient Neurology at a Safety-Net Hospital: A 200-Hour Profile

Social work plays a critical role in preventive health and mitigation of healthcare disparities, but few studies focus on its role in multi-specialty clinics serving marginalized populations. We aimed to characterize the role of outpatient neurology social work at an urban, safety-net hospital. In December 2021, we introduced a dedicated social worker to a neurology clinic primarily caring for an underserved patient population. We logged and characterized the first 200 consecutive hours of patient encounters, classifying interventions based on a recently popularized 10-category scheme in social work literature derived from natural language processing and machine learning algorithms. We characterized 125 encounters with neurology patients referred to social work. The neurology social worker spent the greatest amount of time on care coordination (40%), followed by housing insecurity (14%) and applications and reporting (11%). Interventions that required the most time per case included housing (129 min), applications and reporting (120 min), care coordination (96 min). The majority of interventions were directly related to the patient's underlying neurologic disorder, highlighting the importance of a neurology-specific social worker. Embedding a social worker in a multi-specialty neurology clinic may address many of the root causes of neurologic health disparities.

Social Support and Depression among Stroke Patients: A Topical Review

Research has shown a protective association between social support and depression, depression among stroke patients, and health impacts of depression. Despite this, not much is known about the effect of social support on depression among stroke patients. This review aims to summarize the current research examining the association between social support and depression among stroke patients. A literature search was performed in PubMed to find original peer-reviewed journal articles from 2016 to 12 March 2023 that examined the association between social support and depression among stroke patients. The search terms were depression and "social support" and stroke, which lead to 172 articles. After abstract review, seven observational studies that studied the target association among stroke patients were selected. One additional study was found using PsycINFO as a complementary source with the same search strategy and criteria. Overall, a negative association was found between social support and depression among stroke patients in eight studies, with more social support leading to lower rates of depression post-stroke. The other study did not find a statistically significant association. Overall, the results of recent studies suggest that social support is negatively associated with depression among stroke patients. In most studies, this association was statistically significant. The findings suggest the importance of improving social support perceived by stroke patients in the prevention of depression after the occurrence of stroke.

Functionality and quality of life in Brazilian patients 6 months post-stroke

Background

Surviving a stroke poses a social and economic impact that requires the care system to be reformulated and the patient to be addressed in a comprehensive approach.

Purpose

This study aims to investigate if there is a relationship between functional activities performed before the stroke, patients' clinical and hospitalization data, and functionality and quality of life measures in the first 6 months after the stroke.

Methods

This study used a prospective cohort of 92 patients. We investigated sociodemographic and clinical data, the modified Rankin Scale (mRS), and the Frenchay Activities Index (FAI) during hospitalization. The Barthel Index (BI) and EuroQol-5D (EQ-5D) were applied at the following time points: 30 days (T1), 90 days (T2), and 180 days (T3) following postictal state. Statistical analysis was conducted using Spearman's coefficient, Friedman's non-parametric test, and multiple linear regression models.

Results

No correlation was found between FAI, BI, and EQ-5D average scores. Severe patients, patients with comorbidities, and patients with extended hospital stays showed lower BI and EQ-5D scores □in the follow-up. BI and EQ-5D scores increased.

Conclusion

This research found no relationship between activities performed before the stroke and functionalities and quality of life after the stroke, but comorbidities and extended hospital stay were associated with worse outcomes.

Blood pressure control and risk of post-stroke dementia among the elderly: A population-based screening study

Background

Post-stroke dementia (PSD) has adverse effects on the quality of work and life in elderly stroke survivors. There are inconsistent results on the impacts of blood pressure control on the risk of PSD in people aged 65 years and above.

Objective

This study was performed to explore whether poorly-controlled blood pressure was associated with an increasing risk of PSD.

Methods

The study population was enrolled from cross-sectional research conducted in 106 communities of rural northern China. In Phase I, a total of 7,448 people aged ≥65 years, including 830 with stroke history, completed a questionnaire, a physical examination, and a cognitive assessment. Phase II further confirmed the diagnosis of PSD. Well-controlled blood pressure was defined as an average systolic blood pressure of <140 mmHg and average diastolic blood pressure of <90 mmHg over two readings in person. Failure to meet these criteria was considered as poorly-controlled blood pressure.

Results

The crude prevalence rate of PSD among stroke survivors aged 65 years and over was 17.8% [95% confidence interval (CI) 15.2–20.4%]. Among the 830 stroke survivors, the proportions of PSD gradually increased with age and the crude prevalence rates for PSD were 10.2% (95% CI 5.6–14.9%), 14.8% (95% CI 10.1–19.5%), 18.8% (95% CI 14.1–23.5%), and 27.4% (95% CI 20.8–34.1%) in subjects aged 65–69, 70–74, 75–79 and ≥80 years, respectively. Participants in the poorly-controlled blood pressure group were more likely to suffer from PSD (28.4 vs.15.3%, P < 0.001), be older (75.81 ± 4.97 vs. 74.74 ± 5.83, P < 0.05), and have a worse cognitive level (22.26 ± 7.05 vs. 24.10 ± 6.02, P < 0.05). Compared with well-controlled blood pressure patients, poorly-controlled blood pressure in stroke survivors significantly increased risk of PSD (odds ratio = 2.20, 95% CI 1.45–3.32) after adjusting for age, gender, and education.

Conclusions

The crude prevalence of PSD among stroke survivors aged ≥65 years was 17.8% at community level. In addition to lower education level and older age, poorly-controlled blood pressure was also an independent risk factor for PSD among the elderly, which is amenable to intervention. Therefore, it is essential to control blood pressure to reduce PSD incidence.

Development of a patient-oriented navigation model for patients with lung cancer and stroke in Germany

Background

The concept of patient navigation was first established in the USA to support vulnerable patient groups in receiving timely and comprehensive access to cancer care. It has recently gained increasing interest in Germany to support patients with chronic diseases in a fragmented healthcare system. The aim of this paper is to present the development of such a model adapted to the German context based on the results of mixed-methods studies investigating the need for and barriers to patient-oriented care.

Methods

In a process adapted from Delphi rounds, we conducted regular structured workshops with investigators of the project to discuss results of their studies and identify content and structure of the model based on the data. Workshop discussions were structured along seven core components of a navigation model including target patient groups, navigator tasks, occupational background and education of navigators, and patient-navigator interaction mode.

Results

Using an approach based on empirical data of current care practices with special focus on patients’ perspectives, we developed a patient-oriented navigation model for patients who have experienced stroke and lung cancer in the German healthcare context. Patients without personal social support were viewed as struggling most with the healthcare system, as well as multimorbid and elderly patients. Navigators should serve as a longer-term contact person with a flexible contact mode and timing based on the individual situation and preferences of patients. Navigator tasks include the provision of administrative and organizational support as well as referral and guidance to available resources and beneficial health programs with special forms of knowledge. Implementation of the navigator should be flexibly located to ensure a reliable outreach to vulnerable patients for first contact in settings like specialized in-patient and out-patient settings, while navigation itself focuses on care coordination in the out-patient setting.

Conclusion

Flexibility of navigator tasks needed to be a core characteristic of a navigation model to be perceived as supportive from patients’ perspectives. In a subsequent feasibility study, an intervention based on the model will be evaluated according to its acceptance, demand, and practicality.

Factors associated with the longer-term unmet supportive care needs of stroke survivors in Ethiopia: a multicentre cross-sectional study

OBJECTIVES

To assess the magnitude of the longer-term unmet supportive care needs and associated factors among adult stroke survivors.

DESIGN

Institutional-based multicentre cross-sectional study.

SETTING

Between 1 March 2020 and 31 May 2020, in Addis Ababa, Ethiopia.

PARTICIPANTS

Adult stroke survivors (aged ≥18 years, n=422), diagnosed with a stroke at least 6 months before the study period and who started regular follow-up at the neurology outpatient clinics in Addis Ababa, Ethiopia.

MAIN OUTCOME MEASURES

Self-reported longer-term supportive care needs.

RESULTS

Two hundred and twenty-six (53.6%) stroke survivors had longer-term unmet supportive care needs, and 196 (46.4%) survivors had no longer-term unmet supportive care needs. Information need about stroke was reported by 416 (98.6%), and how to travel on public transportation was reported by 340 (80.6%) survivors. These were the most frequently reported unmet needs. Stroke survivors' longer-term unmet supportive care needs were significantly associated with being hypertensive with (adjusted OR (AOR) 4.59; 95% CI 2.61 to 8.07), having heart disease with (AOR 1.94; 95% CI 1.19 to 3.82), moderate and above level of disability according to the modified Rankin Scale score with (AOR 26.4; 95% CI 8.61 to 80.92) and unable to use the physiotherapy service with (AOR 2.85; 95% CI of 1.63 to 4.99).

CONCLUSIONS

There are significant longer-term unmet supportive care needs among adult stroke survivors. The factors associated with longer-term unmet supportive care needs were; having comorbidities, moderate and above level of disability according to the modified Rankin Scale score and unable to use the physiotherapy service. The development of appropriate services to address the longer-term unmet supportive care needs of stroke survivors is warranted.

Family resilience of stroke survivors within 6 months after a first-episode stroke: A longitudinal study

CONTEXT

Family resilience is frequently recognized as a powerful determinant of family adaptation in chronic disease patients; understanding the family resilience of stroke patients and its predictors could help nurses develop interventions to assist patients in maintaining healthy family functioning.

OBJECTIVE

This study aimed to explore the trajectory of family resilience in the 6 months following stroke onset and examine the predictors of family resilience over time.

METHODS

A total of 288 first-episode stroke survivors were selected from seven hospitals in China from July 2020 to March 2021. Their family resilience, social support, self-efficacy, and medical coping style were assessed at hospitalization and 1, 3, and 6 months after stroke onset. The study was performed in accordance with the STROBE guidelines.

RESULTS

The mean levels of family resilience were between 95.52 ± 11.10 and 97.68 ± 9.68 within the first 6 months after a first-episode stroke, with a significant increase 3 months after the onset. Patient self-efficacy, social support, family atmosphere, and caregiver-patient relationship (sibling) were predictors of family resilience at all four time points. Baseline predictors of family resilience at 6 months included self-efficacy of the patients, subjective support, support utilization, family atmosphere, living district, medical bill payment methods, and caregiver-patient relationship (sibling).

CONCLUSION

Family resilience levels were low in stroke patients 6 months after the onset, and 3 months post-stroke onset was a critical period for family resilience of stroke patients. Nurses are recommended to pay particular attention to patients with low self-efficacy, perceived low support, poor utilization of available support, as well as those who are under the care of their siblings, self-pay, or live in a poor family atmosphere. Interventions aimed at improving the self-efficacy of patients and social support are potential approaches to enhance family resilience.

What do people with lung cancer and stroke expect from patient navigation? A qualitative study in Germany

OBJECTIVE

This qualitative study investigated patients' needs and wishes in relation to patient navigation.

DESIGN

A qualitative interview study was conducted. Participants were invited to take part in three in-depth interviews over a period of 6-12 months. Thematic analysis was used.

SETTING

Interviewees were sought in the Berlin metropolitan area of Germany in academic university hospitals, in rehabilitation clinics and through self-help organisations.

PARTICIPANTS

The sample consisted of individuals diagnosed with lung cancer (n=20) or stroke (n=20).

RESULTS

From the perspective of interviewees, patient navigators should function as consistent contact persons, present during the whole care trajectory. Their role would be to guide patients through an often confusing healthcare landscape, offering practical, advisory and emotional assistance corresponding to patients' needs. The study shows that-independent of the disease-participants had similar expectations and needs regarding support from navigators.

CONCLUSION

For chronic and complex diseases-as is the case with lung cancer and stroke-it appears less important for navigators to fulfil disease-specific tasks. Rather, they should ensure that patients' more general needs, in relation to social, practical and emotional support, are met in a way that suits their individual wishes. Following these results, patient navigation programmes might be designed to include generic elements, which should then be adapted to the infrastructure in a particular healthcare region and to the particularities of a specific healthcare system.

The PostStroke-Manager - combining mobile, digital and sensor-based technology with personal assistance: protocol of the feasibility study

INTRODUCTION

Post stroke management has moved into the focus as it represents the only way to secure acute treatment effects in the long term. Due to individual courses, post stroke management appears rather challenging and is hindered by existing barriers between treatment sectors. As a novel concept, the PostStroke-Manager combines digital and sensor-based technology with personal assistance to enable intersectoral cooperation, best possible reduction of stroke-related disability, optimal secondary prevention, and detection of physical and psychological comorbidities.

METHODS

This prospective single-center observational study aims to investigate the feasibility of the PostStroke-Manager concept in an outpatient setting. Ninety patients who have suffered an ischemic or hemorrhagic stroke or transient ischemic attack will be equipped with a tablet and mobile devices recording physical activity, blood pressure, and electrocardiographic signals. Through a server-based platform, patients will be connected with the primary care physician, a stroke pilot and, if necessary, other specialists who will use web-based platforms. Via the tablet, patients will have access to an application with 10 newly designed components including, for instance, a communication tool, medication schedule, medical records platform, and psychometric screenings (e.g., depression, anxiety symptoms, quality of life, adherence, cognitive impairment). During the 1-year follow-up period, clinical visits are scheduled at three-month intervals. In the interim, communication will be secured by an appropriate tool that includes text messenger, audio, and video telephony. As the primary endpoint, feasibility will be measured by a 14-item questionnaire that addresses digital components, technical support, and personal assistance. The PostStroke-Manager will be judged feasible if at least 50% of these aspects are rated positively by at least 75% of patients. Secondary endpoints include feedback from professionals and longitudinal analyses on clinical and psychometric parameters.

PERSPECTIVE

This study will answer the question of whether combined digital and personal support is a feasible approach to post stroke management. Furthermore, the patient perspective gained regarding digital support may help to specify future applications. This study will also provide information regarding the potential use of remote therapies and mobile devices in situations with limited face-to-face contacts.

TRIAL REGISTRATION

German Register for Clinical Trials ( DRKS00023213 .), registered 27 April 2021.

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.

Unmet care needs of community-dwelling stroke survivors: a systematic review of quantitative studies

OBJECTIVES

Understanding the unmet needs of community-dwelling stroke survivors is essential for further intervention. This systematic review was performed to summarise their unmet needs from a quantitative viewpoint.

DESIGN

Systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

DATA SOURCES

A comprehensive search of six databases was conducted from inception to February 2020: PubMed, EMBASE, CINAHL, PsycINFO, SCOPUS and CBM. The methodological quality of the studies was assessed. Unmet needs were categorised, and a pooled analysis of the main outcomes was conducted.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

We included quantitative studies focused on the unmet needs of stroke survivors who live at homes rather than in any other institutionalised organisation.

RESULTS

In total, 32 of 2660 studies were included, and 1980 unmet needs were identified. The prevalence of patients with unmet needs ranged from 15.08% to 97.59%, with a median of 67.20%; the median number of unmet needs per patient ranged from 2 to 8 (0-31). The prevalence of unmet needs was high at 6 months post-stroke (62.14%) and 2 years post-stroke (81.37%). After categorisation, the main concerns among these patients were revealed to be information support, physical function and mental health; a few studies reported unmet needs related to leisure exercise, return to work and so on. Additionally, differences in the measurement tools used across studies affect what unmet needs participants report.

CONCLUSIONS

Sufficient, accurate, individualised and dynamic information support is a priority among community-dwelling stroke survivors. Physical function and mental health are also the most significant concerns for re-achieving social participation. It is essential to design and disseminate standard, effective and time-saving tools to assess unmet needs.

TRIAL REGISTRATION NUMBER

CRD42018112181.

Challenges of Outcome Prediction for Acute Stroke Treatment Decisions

Physicians often base their decisions to offer acute stroke therapies to patients around the question of whether the patient will benefit from treatment. This has led to a plethora of attempts at accurate outcome prediction for acute ischemic stroke treatment, which have evolved in complexity over the years. In theory, physicians could eventually use such models to make a prediction about the treatment outcome for a given patient by plugging in a combination of demographic, clinical, laboratory, and imaging variables. In this article, we highlight the importance of considering the limits and nuances of outcome prediction models and their applicability in the clinical setting. From the clinical perspective of decision-making about acute treatment, we argue that it is important to consider 4 main questions about a given prediction model: (1) what outcome is being predicted, (2) what patients contributed to the model, (3) what variables are in the model (considering their quantifiability, knowability at the time of decision-making, and modifiability), and (4) what is the intended purpose of the model? We discuss relevant aspects of these questions, accompanied by clinically relevant examples. By acknowledging the limits of outcome prediction for acute stroke therapies, we can incorporate them into our decision-making more meaningfully, critically examining their contents, outcomes, and intentions before heeding their predictions. By rigorously identifying and optimizing modifiable variables in such models, we can be empowered rather than paralyzed by them.

Stroke survivors' experiences with rebuilding life in the community and exercising at home: A qualitative study

Aim

This study aimed to explore how stroke survivors deal with stroke‐related impairments when rebuilding their lives in the community and their experiences of exercising at home.

Design

An explorative and descriptive qualitative study.

Methods

A purposive sample of ten stroke survivors residing at home was recruited to explore experiences of rebuilding their lives in the community and exercising at home. One focus group interview was conducted followed by semi‐structured interviews. Data were analysed using thematic analysis.

Results

Three main themes were identified: “Framing exercise within the context of everyday life” describes how stroke survivors integrate exercise in everyday activities with varying success and the social importance of exercising; “Managing the challenges of physical impairment” describes the taxing undertakings in daily living, loss of concentration and identity; “Long‐term challenges of everyday life” describes how the stroke survivors manage depression and live with a sense of uncertainty.

Emotion recognition impairments and social well-being following right-hemisphere stroke

Accurately recognizing and responding to the emotions of others is essential for proper social communication and helps bind strong relationships that are particularly important for stroke survivors. Emotion recognition typically engages cortical areas that are predominantly right-lateralized including superior temporal and inferior frontal gyri - regions frequently impacted by right-hemisphere stroke. Since prior work already links right-hemisphere stroke to deficits in emotion recognition, this research aims to extend these findings to determine whether impaired emotion recognition after right-hemisphere stroke is associated with worse social well-being outcomes. Eighteen right-hemisphere stroke patients (≥6 months post-stroke) and 21 neurologically healthy controls completed a multimodal emotion recognition test (Geneva Emotion Recognition Test - Short) and reported engagement in social/non-social activities and levels of social support. Right-hemisphere stroke was associated with worse emotion recognition accuracy, though not all patients exhibited impairment. In line with hypotheses, emotion recognition impairments were associated with greater loss of social activities after stroke, an effect that could not be attributed to stroke severity or loss of non-social activities. Impairments were also linked to reduced patient-reported social support. Results implicate emotion recognition difficulties as a potential antecedent of social withdrawal after stroke and warrant future research to test emotion recognition training post-stroke.

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.