Prevalence and predictors of depressive symptoms among caregivers of patients with epilepsy in Hong Kong.

STUDY AIM: To estimate the prevalence of high caregiving burden and depressive symptoms among caregivers (CG) of patients with epilepsy (PWEs) in Hong Kong and identify risk and protective factors for both outcomes after the Model of Stress and Carer Burden (MSCB). METHODS: This cross-sectional study recruited participants from local epilepsy clinics to complete a 15-minute survey on a tablet. Caregiving burden (CB) was assessed using the 4-item Zarit Caregiver Burden Interview. Depressive symptoms were assessed using the 2-item Patient Health Questionnaire. Family functioning was assessed using the Short-Form Family Assessment Device General Functioning Subscale. Sociodemographic data of the caregivers and clinical data of the PWE they cared for were described. Hierarchical logistic regression models were used to analyze the factors associated with the outcomes. RESULTS: A hundred and fifty-one CGs of PWEs were recruited for this study. The prevalence of high caregiving burden (ZBI-4 > 7) for CGs of PWEs was 58.9% (n = 89), whereas the prevalence of high depressive symptoms (PHQ2 > 2) was 23.8% (n = 36). Hierarchical logistic regression analysis revealed that entering patient characteristics and care situations did not enhance the model's predictability. In the full model, a high perceived CB was a risk factor for elevated depressive symptoms. Good physical health protects against depressive symptoms. CONCLUSIONS: Among caregivers of PWE in Hong Kong, a high perceived caregiving burden was a risk factor for elevated depressive symptoms; however, the clinical characteristics of the PWEs were not. Self-reported physical health is a protective factor against increased depressive symptoms.

Employment among people with epilepsy in Hong Kong.

BACKGROUND: People with epilepsy (PWE) face difficulties in employment. Hong Kong depends heavily on tertiary industry and enjoys a low unemployment rate. However, there have been rare reports on employment of PWE in Hong Kong. We aimed at (1) investigating the employment status among PWE; (2) correlating demographic and clinical factors with employment status of PWE; and (3) describing the self-perceived impact of epilepsy on employment and their correlations with employment status. METHOD: This was a single center cross-sectional study conducted in 2019. Adult with epilepsy but without intellectual disability of year age 16-65 were recruited. Homemakers and retired persons were excluded. A questionnaire with two parts was given to each patient. The first part focused on objective data about employment. The second part focused on self-perception on the impact of epilepsy on employment. Responders expressed their opinions in 5-point Likert scale. Clinical data were retrieved from the computerized medical record system for interpretation. RESULTS: A total of 138 PWE were recruited. Unemployment rate among the PWE was 33%, which was much higher than the general population. Low education levels, drug-resistant epilepsy, psychiatric comorbidities, and high Charlson Comorbidity Index were correlated to unemployment in PWE. Unemployed respondents significantly more tend to regard that lack of education, stigma of epilepsy, and seizure frequency were main hurdles in employment. CONCLUSIONS: Unemployment is a severe social problem among PWE in Hong Kong. Various objective clinical and demographic factors correlated with unemployment. Work beliefs of a patient may also correlate with the employment status.