The impact of coronavirus disease 2019 on emotional and behavioral stress of informal family caregivers of individuals with stroke or traumatic brain injury at chronic phase living in a Mediterranean setting

Predictors of social risk for post-ischemic stroke reintegration

After stroke rehabilitation, patients need to reintegrate back into their daily life, workplace and society. Reintegration involves complex processes depending on age, sex, stroke severity, cognitive, physical, as well as socioeconomic factors that impact long-term outcomes post-stroke. Moreover, post-stroke quality of life can be impacted by social risks of inadequate family, social, economic, housing and other supports needed by the patients. Social risks and barriers to successful reintegration are poorly understood yet critical for informing clinical or social interventions. Therefore, the aim of this work is to predict social risk at rehabilitation discharge using sociodemographic and clinical variables at rehabilitation admission and identify factors that contribute to this risk. A Gradient Boosting modelling methodology based on decision trees was applied to a Catalan 217-patient cohort of mostly young (mean age 52.7), male (66.4%), ischemic stroke survivors. The modelling task was to predict an individual's social risk upon discharge from rehabilitation based on 16 different demographic, diagnostic and social risk variables (family support, social support, economic status, cohabitation and home accessibility at admission). To correct for imbalance in patient sample numbers with high and low-risk levels (prediction target), five different datasets were prepared by varying the data subsampling methodology. For each of the five datasets a prediction model was trained and the analysis involves a comparison across these models. The training and validation results indicated that the models corrected for prediction target imbalance have similarly good performance (AUC 0.831-0.843) and validation (AUC 0.881 - 0.909). Furthermore, predictor variable importance ranked social support and economic status as the most important variables with the greatest contribution to social risk prediction, however, sex and age had a lesser, but still important, contribution. Due to the complex and multifactorial nature of social risk, factors in combination, including social support and economic status, drive social risk for individuals.

Caregiving Preparedness and Caregiver Burden in Omani Family Caregivers for Patients with Acquired Brain Injury

Objectives

This study aimed to explore the caregiving preparedness and caregiver burden among Omani family caregivers (FCs) of patients with acquired brain injury (ABI).

Methods

This prospective observational study was conducted at the neurology clinic at Khoula Hospital, Muscat, Oman, from April 2019 to December 2021. Data were collected from 119 FCs and their patients at the time of discharge from the hospital and 16 weeks post-discharge during follow-up care. The questionnaire comprised the Zarit Burden Index, the Preparedness for Caregiving Scale, the Short-Form-12 Health Survey, and a patient symptom scale.

Results

The FCs were predominantly female (53.8%), and the mean age was 38.27 ± 9.11 years. Most patients had moderate to severe ABI (95.8%) due to stroke (56.3%) and trauma (30.3%). The most common patient symptoms were loss of muscle strength, speech problems, mood problems, memory loss, and change in behaviour. Most FCs were found to have low caregiving preparedness (58%) at discharge, and 19.1% were found to have a high level of caregiver burden at 16 weeks post-discharge. The length of time post-injury (P <0.01), symptom severity (P <0.01) and the FCs' physical and mental health status (P <0.01 each) were found to be significant predictors of caregiving preparedness, whereas caregiver preparedness (P <0.01), symptom severity (P <0.01), and caregivers' mental health (P = 0.028) were seen as the predictors of caregiver burden.

Conclusion

Omani FCs of patients with ABI tend to commence the caregiver role with inadequate preparation, and shortly after, a significant number suffer high caregiver burden. Interventions focusing on the caregiver's health and training in symptom management may improve the outcomes of FCs and patients.

Burdens on caregivers of patients with stroke during a pandemic: relationships with support satisfaction, psychological distress, and fear of COVID-19

BACKGROUND

Caregivers have faced unprecedented circumstances throughout the COVID-19 pandemic, but previous research only minimally addresses the caregivers' burden. Therefore, this study aimed to investigate the relationship between caregiver burden, psychological stress, satisfaction with support, and fear of COVID-19 in caregivers of patients with stroke during the pandemic.

METHODS

A cross-sectional survey study with total of 171 caregivers of patients with stroke in a community hospital in Taiwan. All participants completed the Zarit Burden Interview, Depression, Anxiety, Stress Scale (DASS-21), satisfaction of support survey, and Fear of COVID-19 Scale. Pearson correlations were used to examine the bivariate correlations between study variables. Then, with the control of demographic confounders, a multiple linear regression model was applied with significant variables to construct and explain caregiver burden.

RESULTS

The proposed model significantly explained the caregiver burden of caregivers of patients with stroke. Specifically, the caregiver burden was negatively correlated with satisfaction with family support, but positively with psychological distress and the fear of COVID-19.

CONCLUSIONS

Caregivers of patients with stroke will suffer a greater burden if they have lower satisfaction with family support, experienced higher psychological distress, and perceived more fear of the COVID-19 pandemic. Health professionals must address these concerns, support caregivers, and enhance available resources.

Status and influencing factors of disease uncertainty among family caregivers of patients with moderate and severe craniocerebral injury: a quantitative and qualitative study

BACKGROUND

Disease uncertainty widely exists among family caregivers of patients with moderate and severe craniocerebral injury. This negative emotional reaction will reduce the ability of family caregivers to make decisions during the critical stage of the patient, causing serious effects on the rescue and prognosis of patients with moderate and severe craniocerebral injury. Therefore, this article aims to understand the state of the uncertainty of the disease of family caregivers of patients with moderate and severe craniocerebral injury in China, to analyze the influencing factors, and to explore the specific resource of the uncertainty of the disease combined with qualitative study. The outcomes will provide a theoretical basis for formulating an accurate clinical nursing intervention strategy.

METHODS

This study was conducted in the neurosurgery ward. A total of 214 family caregivers were evaluated using five previously validated scales: (i) Mishel Uncertainty in Illness Scale for family member, (ii) Simplified Coping Style Questionnaire, (iii) Social Support Rating Scale, and (iv) Self-Rating Anxiety Scale, (v) Zarit Caregiver Burden Interview. Kolmogorov-Smirnov was used to test the normality of the data distribution. The potential determinants of disease uncertainty were evaluated using the univariate statistical analysis. A multivariate linear regression model was adopted to assess the predictors of disease uncertainty in family caregivers of patients with moderate and severe craniocerebral injury. Objective sampling method was used to conduct semi-structured interviews with 17 family caregivers of patients with moderate and severe craniocerebral injury, and Colaizzi 7-step analysis method was used to analyze and summarize the interview data.

RESULTS

The evaluated participants exhibited critically high levels of perceived uncertainty. The results of multiple linear regression showed that the influencing factors of family caregivers' disease uncertainty were anxiety, number of other caregivers, GOS, negative coping style, and caregiver burden. The qualitative research focuses on two main topics: the sources of disease uncertainty among family caregivers of patients with moderate and severe craniocerebral injury and experience to cope with the situation.

CONCLUSION

The main cause of disease uncertainty of family caregivers of patients with moderate and severe craniocerebral injury is that patients' disease progression and prognosis as well as caregivers' own pressure of responsibility and negative mental status. Furthermore, caregivers' own pressure of responsibility and negative mental status are not clear. Therefore, helping family caregivers adopt positive coping approaches, guiding them to actively seek support from family and society, improving their nursing skills, and understanding of disease progression and prognosis all play an important role in alleviating the uncertainty of the disease.