Abstract:
Ethiopia, especially the Amhara Region and Bahir Dar City, contends with substantial socioeconomic
challenges that disproportionately impact individuals with physical disabilities,
increasing their vulnerability. This research aims to explore the psychosocial resilience of
people with physical disabilities in Bahir Dar City. A mixed-methods design was employed,
utilizing both quantitative and qualitative approaches. Quantitative data were collected
through structured questionnaires, while qualitative data were obtained from participants
through key informant interviews, focus group discussions, and observations using a checklist.
A systematic sampling method was used to select 134 participants. Qualitative data were
analyzed through thematic analysis, and quantitative data were analyzed using descriptive
statistics. Sociodemographic variables were presented using frequencies and percentages, and
the Brief Resilience Scale (BRS) was utilized to measure psychosocial resilience. The Coping
Inventory for Stressful Situations (CISS) was employed to assess coping mechanisms,
categorized into task-oriented, emotion-oriented, and avoidance-oriented strategies. A binary
logit regression model was employed to identified determinant factors influencing resilience.
The findings revealed that 64.18% of participants exhibited low resilience, while 35.82%
showed normal resilience. Task-oriented coping mechanisms were moderately utilized (mean
= 2.9), emotion-oriented strategies were more prevalent (mean = 3.9), and avoidance-oriented
coping was the least common (mean = 2.4). Individuals with low resilience used a broader
range of coping strategies (mean total score = 22.1) compared to those with normal resilience
(mean = 21.5). Key determinants of psychosocial resilience included sex (-2.93, p < 0.001),
type of physical impairment (2.40, p < 0.001), duration of impairment (0.19, p < 0.001),
employment status (0.51, p = 0.052), annual income (0.0000593, p = 0.008), and marital status
(-0.89, p < 0.001). The study concludes that psychosocial resilience is influenced by various
demographic and socioeconomic factors, emphasizing the need for targeted interventions to
improve resilience. Recommendations include enhancing infrastructure accessibility,
providing socioeconomic support, strengthening community networks, and implementing
gender-sensitive interventions. Finally, further research is encouraged to investigate the
experiences of individuals with diverse disabilities in conflict-affected contexts.