Modeling health-related quality of life in people recovering from stroke

Acute clinical outcomes predict both generic and specific health-related quality of life six and 12 months after stroke: A one-year prospective study developed in a middle-income country

OBJECTIVE

To identify acute predictors of generic and specific health-related quality of life (HRQoL) six and 12 months after stroke in individuals from a middle-income country.

MATERIAL AND METHODS

This was a prospective study. The dependent outcomes assessed during six and 12 months after stroke included both generic and specific HRQoL (Short Form Health Survey-36 [SF-36] and stroke-specific quality of life [SSQOL]). The predictors were age, sex, education level, length of hospital stay, current living arrangement, stroke severity, functional independence, and motor impairment.

RESULTS

122 (59.9±14 years) and 103 (59.8±14.71 years) individuals were evaluated six and 12 months after stroke, respectively. Functional independence and sex were significant acute predictors of both generic and specific HRQoL. Functional independence was the strongest predictor (0.149≤R2≤0.262; 20.01≤F≤43.96, p<0.001), except for generic HRQoL at 12 months, where sex was the strongest predictor (R2=0.14; F=17.97, p<0.001).

CONCLUSION

Generic and specific HRQoL in chronic individuals six and 12 months after stroke, from a middle-income country, can be predicted based on functional independence, the strongest predictor, assessed in the acute phase, except for generic HRQoL at 12 months. Functional independence can be modified by rehabilitation strategies and thus should be considered for HRQoL prognoses at chronic phase.

Association of post-stroke-depression and health-related quality of life three months after the stroke event. Results from the Stroke Cohort Augsburg (SCHANA) study

Approximately one-third of patients with stroke show depressive symptoms. The so-called post-stroke depression (PSD) has a negative influence on mortality as well as physical and mental conditions. The aim of this study was to analyse the association between PSD and health-related quality of life (HRQOL) in patients with stroke. The analysis was based on data of 326 patients from the Stroke Cohort Augsburg (SCHANA Study) collected after the stroke event by interview and three months later using a postal survey. Depressive symptoms were measured with the Patient-Health Questionnaire (PHQ-9), subjective health status with the EuroQol 5D visual analogue scale (EQ-5D VAS), and HRQOL with the Stroke Impact Scale (SIS). Patients with depressive symptoms were compared to those without depressive symptoms in terms of sociodemographic characteristics and scores of the SIS and the EQ-5D VAS. Multiple linear regression models were calculated to investigate the association between PSD and subjective health status and HRQOL. Three months after the stroke, 17.8% of patients had depressive symptoms. Patients with PSD showed significantly worse SIS and EQ-5D VAS scores. In addition, an independent negative linear association between PSD and subjective health status and between PSD and all domains of SIS could be found. The study confirmed that PSD is common in patients with mild stroke and negatively related to all stroke-specific HRQOL domains. The results underline the importance of early screening for PSD in stroke patients since it may hinder a successful rehabilitation.

Predictive Model for Quality of Life in Patients 1 Year After First Stroke

BACKGROUND

Because the recurrence rate of stroke increases 1 year after its initial occurrence, it is important to predict quality of life at this stage, although most functions are likely recovered.

OBJECTIVES

We aimed to construct and verify a model of quality of life in patients 1 year post stroke by considering their characteristics at the time of the stroke based on the Wilson and Cleary model and previous literature.

METHODS

Participants comprised 288 patients who had experienced their first ischemic stroke and were enrolled in 3 regional stroke centers in South Korea. Data were analyzed using path analysis to identify a model of patients' quality of life 1 year post stroke.

RESULTS

Age, National Institutes of Health Stroke Scale score, the modified Rankin Scale score, and anxiety had a direct effect on quality of life, whereas type D personality and social support had an indirect effect. Type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety explained 32.9% of the total variance in quality of life.

CONCLUSIONS

When predicting quality of life in a patient 1 year after a stroke, it is important to consider variables such as type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety at the time of the first stroke. Interventions to improve the quality of life of patients with stroke should consider these factors.

A prediction model of health-related quality of life in young adult patients with stroke

AIMS AND OBJECTIVES

This study aimed to establish and test a predictive model for explaining the health-related quality of life of young adult patients with stroke.

BACKGROUND

Individual characteristics, biological and physiological variables, social support, emotional and cognitive symptoms, physical function disability and general health perception may be interrelated and may directly or indirectly affect the health-related quality of life of young adult patients with stroke.

DESIGN

A cross-sectional study.

METHODS

237 young outpatients with stroke were recruited and surveyed. Data collection used a structured questionnaire from July-November 2018. The collected data were analysed using SPSS version 25.0^® and AMOS 23.0. This study is based on STROBE guidelines.

RESULTS

The hypothetical model's fit indices were adequate. Stroke severity, social support, fear of stroke recurrence, physical function disability and general health perceptions directly affected the health-related quality of life. Additionally, stroke severity, depression and fear of stroke recurrence also indirectly affected it. These variables explained 60.3% of the variance in this quality.

CONCLUSIONS

Variables such as severity of stroke, depression, fear of stroke recurrence, social support, physical function disability and general health perception were found to be related to the HRQoL of young adult patients with stroke.

RELEVANCE TO CLINICAL PRACTICE

A variety of physical, psychological, functional and social factors related to health-related quality of life should be systematically monitored. Furthermore, nurses need to develop and apply detailed nursing interventions that take into account all these variables.

Factors associated with quality of life in cutaneous lupus erythematosus using the Revised Wilson and Cleary Model

OBJECTIVES

The purpose of this study was to characterize the impact of cutaneous lupus erythematosus (CLE) in adults and identify the clinical and non-clinical factors associated with quality of life (QoL), using the Revised Wilson and Cleary Model.

METHODS

101 patients diagnosed with CLE were included in this cross-sectional study. QoL was measured with the Cutaneous Lupus Erythematosus Quality of Life (CLEQoL) scale and disease activity and damage with the Cutaneous Lupus Activity and Severity Index (CLASI). Patient demographics, clinical, and disease characteristics were also collected. Descriptive statistics were calculated, and multiple regression was employed to determine significant (p < 0.05) predictors of overall QoL. Data were analyzed using SPSS v24.

RESULTS

The overall regression QoL model was significantly different from zero, (F = 24.96; df = 14, 76; p = <0.001). Disease activity (β = 0.13), pain (β = 0.13), fatigue (β = 0.24), body image (β = 0.62), and side effects (β = -0.13) were significant predictors of overall QoL while controlling for other predictor variables. Patients who experienced higher levels of disease activity, fatigue severity, pain levels, and greater degree of body dissatisfaction had significantly poorer QoL. Fewer side effects experienced from CLE medications were significantly associated with higher QoL.

CONCLUSIONS

Study findings support the considerable burden associated with CLE. Several modifiable variables such as pain, fatigue, body image, and disease activity were associated with QoL. Therefore, interventions that incorporate these variables may reduce negative impacts on QoL life and improve health outcomes in CLE patients. Furthermore, given the chronic and recurring nature of the condition, strategies focused on improving QoL are needed for this vulnerable population.

Functional activities habits in chronic stroke patients: A perspective based on ICF framework

BACKGROUND

Functional autonomy and social inclusion are of key importance for stroke patient's rehabilitation.

OBJECTIVE

To evaluate activity and participation of chronic stroke patients by means of basic (BADL), instrumental (IADL) and social (SADL) activities of daily living.

METHODS

Forty individuals, 24 patients and 16 healthy individuals fill in a functional activities habits questionnaire.

RESULTS

Regarding BADL, 25% of the patients did not get out of bed and 70.8% did not use toilet by themselves. Considering IADL, 29.2% of the patients did not dial the telephone, 70.8% did not wash dishes and clothes, 58.3% did not cook, 100% did not sew, 87.5% did not carry out repairs, 41.7% did not go to the bank, 54.2% did not shop and 45.8% did not write (all p < 0.05). Regarding SADL, 87.5% of the patients were not working professionally, 41.7% did not visit friends or relatives, 75% did not travel and go to the beach and 95.8% did not dance (all p < 0.05).

CONCLUSIONS

Chronic stroke patients have limitations in activity and restrictions to participation, even after few years of stroke onset, particularly regarding applying knowledge, use of communication devices, domestic life, major life areas and community, social and civic life.

Quality of life after stroke rehabilitation discharge: a 12-month longitudinal study

PURPOSE

To analyse trends in quality of life (QoL) development among older stroke patients within the first year after rehabilitation discharge, and to investigate the impact of including proxy interviews in research and practice.

METHODS

A prospective cohort study with follow-up at 3, 6, and 12 months with 411 patients and proxy respondents was conducted. The EUROHIS-QOL 8-item index was used to assess QoL. By performing descriptive analyses, QoL development over time was compared among subgroups. Linear mixed models were calculated to estimate mean changes from baseline to 12-month follow-up. The effects of patient characteristics and time on QoL were investigated using comprehensive mixed models.

RESULTS

One year after rehabilitation discharge, the majority of patients had neither maintained nor regained their initial QoL. Proxy respondents reported significantly lower QoL (22.6-29.5 points, p < 0.001). Characteristics associated with lower QoL were stroke severity, depression, and pain. Having a small social network was negatively associated with QoL (-1.66 points, 95%CI: -2.84/-0.48, p = 0.006).

CONCLUSIONS

Quality of life scores reported at the time of rehabilitation discharge are often not lasting. Including severely impaired patients via proxies reduces the risk of overestimating QoL outcomes. Outpatient's characteristics should be taken into account when planning therapy strategies to maintain previously achieved health goals. Regular re-assessments are required.Implications for rehabilitationThere should be an awareness that improvements in quality of life (QoL) achieved during rehabilitation are not sustainable.Regularly re-assessing pain status, psychological burden, and social network size could help clinicians to determine treatment strategies for maintaining and improving rehabilitation achievements.Conducting proxy interviews is required to assess disease burden of patients with severe stroke (e.g., non-linguistic patients).

Predictive model for quality of life in patients with recurrent coronary artery disease

Background:

The aims of this study were to construct and verify a model that explains the quality of life in patients with recurrent coronary artery disease.

Methods:

Participants were 212 patients with recurrent coronary artery disease undergoing percutaneous coronary intervention. Data were collected through structured questionnaires from 21 December 2016–30 April 2017, and were analyzed using SPSS 23.0 and AMOS 23.0.

Results:

The model’s fit indices were adequate. Type D personality, symptom experience, and resilience had a direct effect on quality of life, while type D personality, cardiac function status, social support, and resilience had an indirect effect on quality of life. Type D personality, cardiac function status, social support, symptom experience, and resilience explained 55% of the total variance in quality of life. Thus, type D personality, cardiac function status, social support, symptom experience, and resilience affected the quality of life in patients with recurrent coronary artery disease.

Conclusions:

Systematic and integrated intervention programs considering factors related to quality of life may be useful for improving quality of life for patients with recurrent coronary artery disease.

Social support, functional outcome and quality of life among stroke survivors in an urban area

Sophisticated medical technologies can prolong a stroke patient’s life but not always their quality of life (QoL) due to poor functional outcomes. Social support can theoretically assist a patient’s adaptation to life after stroke and improve their QoL, but existing findings are inconclusive. This inconclusiveness is especially found in large cities where family and social bonding can be scarce. We conducted a hospital-based, cross-sectional study among 358 stroke patients to identify the effects of social support and functional outcome on QoL and its domains. The study took place in Bangkok, Thailand between July and December 2016. Data were collected by personal interview using a structured questionnaire that included the Short-Form WHO Quality of Life Instrument (WHOQOL-BREF) and by review of medical records. A hierarchical linear regression method was used to analyze data. The mean age of stroke respondents was 66.0 years ( SD 13.5 years), and half were male. The mean total QoL score for patients was 68.6 ( SD 15.2). Hierarchical multiple regression analysis found emotional support significantly impacted QoL in every domain ( ps < .05) when all included variables were controlled for. To improve the quality of life among stroke survivors, health personnel and family members should provide not only physical assistance but also psychological support.

Exploring the causal and effect nature of EQ-5D dimensions: an application of confirmatory tetrad analysis and confirmatory factor analysis

BACKGROUND

The relationship between the various items in an HRQoL instrument is a key aspect of interpreting and understanding preference weights. The aims of this paper were i) to use theoretical models of HRQoL to develop a conceptual framework for causal and effect relationships among the five dimensions of the EQ-5D instrument, and ii) to empirically test this framework.

METHODS

A conceptual framework depicts the symptom dimensions [Pain/discomfort (PD) and Anxiety/depression (AD)] as causal indicators that drive a change in the effect indicators of activity/participation [Mobility (MO), Self-care (SC) and Usual activities (UA)], where MO has an intermediate position between PD and the other two effect dimensions (SC and UA). Confirmatory tetrad analysis (CTA) and confirmatory factor analysis (CFA) were used to test this framework using EQ-5D-5L data from 7933 respondents in six countries, classified as healthy (n = 1760) or in one of seven disease groups (n = 6173).

RESULTS

CTA revealed the best fit for a model specifying SC and UA as effect indicators and PD, AD and MO as causal indicators. This was supported by CFA, revealing a satisfactory fit to the data: CFI = 0.992, TLI = 0.972, RMSEA = 0.075 (90% CI 0.062-0.088), and SRMR = 0.012.

CONCLUSIONS

The EQ-5D appears to include both causal indicators (PD and AD) and effect indicators (SC and UA). Mobility played an intermediate role in our conceptual framework, being a cause of problems with Self-care and Usual activities, but also an effect of Pain/discomfort. However, the empirical analyses of our data suggest that Mobility is mostly a causal indicator.

Understanding the Relationship Between Child Health-Related Quality of Life and Parent Emotional Functioning in Pediatric Hematopoietic Stem Cell Transplant

Objective

Explore interrelationships between domains of child health-related quality of life (HRQL) and parent emotional functioning using parent-proxy and child report in the context of hematopoietic stem cell transplant (HSCT).

Methods

Data on 258 parent-child dyads were used from two longitudinal studies. Domains of HRQL included physical, emotional, and role functioning, and HSCT-related worry. We used structural equation modeling to model the outcome of parent emotional functioning using primary and alternative conceptual models.

Results

Parent-proxy raters reported lower child HRQL than child raters. Structural equation models demonstrated relationships between child emotional functioning, child HSCT-related worry, and parent emotional functioning, with some differences by raters.

Conclusions

Relationships between child HRQL and parent emotional functioning within the context of HSCT are complex. To optimize the child's health outcomes, providing psychosocial support for children and their families may be necessary, especially for those experiencing distress or facing treatment complications.

How non-functioning pituitary adenomas can affect health-related quality of life: a conceptual model and literature review

After treatment for a non-functioning pituitary adenoma (NFA) health-related quality of life (HR-QoL) improves considerably. However, the literature about the normalization of HR-QoL after treatment is inconclusive. Some researchers described a persistently decreased HR-QoL compared to reference data, while others did not. Considering this variety in observed HR-QoL outcomes, the aim of the present review was to provide a literature overview of health outcomes in patients with a NFA, using a conceptual HR-QoL model. A concrete conceptualization of the health outcomes of patients with a NFA can be helpful to understand the observed variety in HR-QoL outcomes and to improve clinical care and guidance of these patients. For this conceptualization, the Wilson and Cleary model was used. This model has a biopsychosocial character and has been validated in several patient populations. In the present review, health outcomes of patients with a NFA were described at each stage of the model e.g. biological and physiological variables, symptom status, functional status, general health perceptions and overall HR-QoL. The Wilson-Cleary model elucidates that elements at each stage of the model can contribute to the impairment in HR-QoL of patients with a NFA, which explains the reported variety in the literature. Furthermore, by applying the model, potential interventions targeting these elements can be identified. While optimal biomedical treatment has always been the focus, it is clearly not sufficient for good HR-QoL in patients with a NFA. Further improvement of HR-QoL should be supported by a pituitary specific care trajectory, including psychosocial care (e.g. self-management training), to beneficially affect characteristics of the patient and the (healthcare) environment, with the utmost goal to optimize HR-QoL in patients after treatment.

Correlation of the gait speed with the quality of life and the quality of life classified according to speed-based community ambulation in Thai stroke survivors

BACKGROUND

Gait abnormality commonly resulted from stroke which affected patients living and probably quality of life (QOL).

OBJECTIVE

To assess the relationship between gait speed and the QOL in Thai stroke patients and to compare the QOL among three patient groups that were categorized by gait speed: i) household ambulators <0.4 m/s, ii) limited community ambulators 0.4-0.8 m/s and iii) community ambulators >0.8 m/s.

METHODS

This was a cross-sectional descriptive research study. The demographic data of 92 stroke patients at Songklanagarind Hospital in Thailand were collected. The gait speed was calculated by the 10 meter walk test. The Thai version of the Stroke Impact Scale (SIS) 3.0 evaluated the QOL of the patients.

RESULTS

The gait speed was correlated with the SIS score (r = 0.64, p <  0.001). The relationship between the gait speed and most domains of the SIS (i.e., strength, mobility, hand function, activities of daily living [ADL], emotion, social participation and thinking of recovery) were also statistically significant. The community ambulators had a higher total SIS score (729.8) than the limited community (600.8) or household ambulators (478.8) (p <  0.001). For each SIS domain mentioned above, there were significant mean scores except for emotion in the community ambulators compared with the others.

CONCLUSIONS

The gait speed was significantly correlated with the physical domains of the QOL in stroke patients. The community ambulators had the highest QOL among the three groups.

A systematic review of the application of Wilson and Cleary health-related quality of life model in chronic diseases

Background

A conceptual model approach to clarify the elements of health-related quality of life (HRQL), their determinants and causal pathways is needed to aid researchers, health practitioners and policy makers in their bid to improve HRQL outcomes in patients. The aim of this systematic review was to appraise empirical evidence on the performance of the Wilson and Cleary Model of HRQL.

Methods

We conducted a search of MEDLINE, Science Direct, PsyARTICLES and CINAHL databases to identify articles that used Wilson and Cleary model to examine HRQL in chronic diseases. A narrative synthesis was employed in the review of the articles.

Results

Evidence supports linkages between adjacent concepts and between non-adjacent concepts of the Wilson and Cleary model indicating that in practice there is a need to examine relationships among constructs - or to consider interventions in terms of - both with and without mediators. Symptoms status has the highest magnitude of relative impact on health-related quality of life.

Conclusion

The Wilson and Cleary model demonstrated good features suitable for evaluating health-related quality of life in chronic diseases.

Women's and Men's Differing Experiences of Health, Lifestyle, and Aging with Multiple Sclerosis

BACKGROUND

The growing population of older people with multiple sclerosis (MS) has led to more interest in understanding factors associated with healthy aging. We aimed to determine whether older women and men with MS have different health and lifestyle behaviors and whether there are sex differences in contributors to perceived health.

METHODS

Data were obtained from a postal survey involving 743 Canadians older than 55 years with MS for at least 20 years. Sex differences in health, lifestyle, mood, and socioeconomics were examined using analysis of variance. Multiple regression was used to build explanatory models of health perception.

RESULTS

Despite no differences in age, years with MS, disability, fatigue, or social support, older men (n = 166) experienced lower perceived health and lower resilience and participated less in life roles than older women (n = 577). Men experienced more depressive symptoms, and women reported more anxiety. Depression was the strongest predictor of health perception in both women and men (β = -2.40 and -5.19, respectively, for each 3-point increase in depressive symptoms). Other contributors included household participation, fatigue, resilience, and disability in women and physical activity, financial flexibility, and alcohol use in men.

CONCLUSIONS

Older men exhibit poorer adaptation to aging with MS than older women.

Identifying reprioritization response shift in a stroke caregiver population: a comparison of missing data methods

PURPOSE

Response shift (RS) is an important phenomenon that influences the assessment of longitudinal changes in health-related quality of life (HRQOL) studies. Given that RS effects are often small, missing data due to attrition or item non-response can contribute to failure to detect RS effects. Since missing data are often encountered in longitudinal HRQOL data, effective strategies to deal with missing data are important to consider. This study aims to compare different imputation methods on the detection of reprioritization RS in the HRQOL of caregivers of stroke survivors.

METHODS

Data were from a Canadian multi-center longitudinal study of caregivers of stroke survivors over a one-year period. The Stroke Impact Scale physical function score at baseline, with a cutoff of 75, was used to measure patient stroke severity for the reprioritization RS analysis. Mean imputation, likelihood-based expectation-maximization imputation, and multiple imputation methods were compared in test procedures based on changes in relative importance weights to detect RS in SF-36 domains over a 6-month period. Monte Carlo simulation methods were used to compare the statistical powers of relative importance test procedures for detecting RS in incomplete longitudinal data under different missing data mechanisms and imputation methods.

RESULTS

Of the 409 caregivers, 15.9 and 31.3 % of them had missing data at baseline and 6 months, respectively. There were no statistically significant changes in relative importance weights on any of the domains when complete-case analysis was adopted. But statistical significant changes were detected on physical functioning and/or vitality domains when mean imputation or EM imputation was adopted. There were also statistically significant changes in relative importance weights for physical functioning, mental health, and vitality domains when multiple imputation method was adopted. Our simulations revealed that relative importance test procedures were least powerful under complete-case analysis method and most powerful when a mean imputation or multiple imputation method was adopted for missing data, regardless of the missing data mechanism and proportion of missing data.

CONCLUSIONS

Test procedures based on relative importance measures are sensitive to the type and amount of missing data and imputation method. Relative importance test procedures based on mean imputation and multiple imputation are recommended for detecting RS in incomplete data.

Anxiety and depression mediate the health-related quality of life differently in patients with cardiovascular disease and stroke-preliminary report of the Yilan study: a population-based community health survey

BACKGROUND

Cardiovascular disease and stroke have emerged as substantial and growing health challenges to populations around the world. Besides for the survival and medical prognosis, how to improve the health-related quality of life (HRQoL) might also become one of the goals of treatment programs. There are multiple factors that influence HRQol, including comorbidity, mental function and lifestyle. However, substantial research and investigation have still not clarified these underlying pathways, which merit further attention. The purpose of this study was to determine how psychological factors affect the link between cardiovascular disease and stroke with HRQoL.

METHODS AND RESULT

A total of 1,285 elder subjects at least 65 years of age (47.2% male) were enrolled. The mental function and HRQol of each patient was then measured using the Hospital Anxiety and Depression Scale and Short Form-12. After multiple regression analysis, anxiety, depression, cardiovascular disease, stroke, education level and age were shown to be associated with both mental component score (MCS) and physical component score (PCS). In the mediation analysis using the SPSS macro provided by Preacher and Hayes, cardiovascular disease and stroke affected HRQoL via anxiety and depression, respectively.

CONCLUSIONS

These results suggest that cardiovascular disease and stroke have negative impacts on patient MCS and PCS through different underlying pathways. Cardiovascular disease influences the HRQoL both directly and indirectly with the mediation of anxiety, and stroke influences the HRQoL by way of depression. These findings support the proposition that different combinations of both physical and psychological support are necessary to best manage these diseases.

Quality of life in stroke survivor-caregiver dyads: a new conceptual framework and longitudinal study protocol

AIM

To describe a new conceptual framework and the research protocol of a study designed to examine the quality of life in stroke survivor-caregiver dyads.

BACKGROUND

Stroke has a significant impact on the patient-caregiver dyad. Few studies have been guided by a specific conceptual framework which considers the interactions among pre-existing situations prior to stroke, the new situation caused by the stroke and the moderating effects of environmental and caregiver-related variables.

DESIGN

Longitudinal study.

METHODS

A sample of stroke survivor-caregiver dyads will be enrolled at patient discharge from rehabilitation hospitals and will be surveyed every 3 months for 1-year. Hypotheses generated from the conceptual framework will test predictors, mediators and moderators of stroke survivor and caregiver quality of life from the pre-existing situation prior to the stroke, the new situation mediation poststroke and situation moderators. The study is supported by a grant from the Centre of Excellence for Nursing Scholarship, Rome, December 2013.

DISCUSSION

This study seeks to identify variables in the pre-existing situation prior to the stroke (e.g. living condition), the new situation mediation poststroke (e.g. type of stroke and caregiver burden) as well as situation moderators (e.g. social support) that influence stroke survivor-caregiver dyad's quality of life across the stroke trajectory. Also, the study will inform clinical practice and research by identifying variables that are potentially modifiable and therefore amenable to intervention. The proposed framework will also be helpful for future research focused on stroke survivor-caregiver dyads.