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Caregiver burden and its sociodemographic determinants in family caregivers of patients with schizophrenia attending a psychiatric tertiary hospital in South Africa


Chioma O. Onyia
Julia S. Lethole
Gbenga Olorunfem
Nnabuike C. Ngene

Abstract

Background: Chronic mental illnesses such as schizophrenia affect patients’ functioning, making caregiving necessary although  burdensome.


Aim: This study aimed to determine caregiver burden and its sociodemographic determinants in family caregivers of patients with  schizophrenia attending a Psychiatric Outpatient Department (POD).


Setting: Tertiary hospital in Northern Pretoria, South Africa.


Methods: In this cross-sectional study conducted over 3 months, 300 consecutive family caregivers who attended the POD were  administered a 22-item Zarit Burden Interview (ZBI-22), which has a score of 0–88, with higher values indicating more burden. Their  sociodemographic characteristics were ascertained. Linear and ordinal logistic regression analyses were performed to identify  determinants or predictors of total and severe burdens, respectively.


Results: Most caregivers were aged 46.0 ± 14 years, females (62%),  parents (39%), of low-income status (93.7%), had secondary education (70%), resided with the patient (87%), and helped with all  troublesome activities (95.3%). The median ZBI-22 score was 19.0 (interquartile range: 13.0–30.5). The determinants of both total and  severe burdens were: caregiver age ≥ 50 years adjusted odds ratio (aOR): 2.55, confidence interval (CI): 1.49–4.36; residential area farther  away from the hospital aOR: 1.76, CI: 1.3–2.99; increasing months of caregiving aOR: 1.0, CI: 1.001– 1.009, p = 0.006; and not having  another family member that needs care aOR: 0.43, CI: 0.24–0.78.


Conclusion: Having mental healthcare facilities close to residential areas  and assisting caregivers aged ≥ 50 years who have multiple family members who need care may alleviate the burden.


Contribution: Predicting total and severe caregiver burdens contemporaneously is effective for identifying potential burden interventions    


Journal Identifiers


eISSN: 2078-6786
print ISSN: 1608-9685