Background: Poverty has been identified as a significant barrier to access to care for diabetes patients. Diabetes requires ongoing and adequate medical care, and delays or lack of care can exacerbate the disease and its complications. Objectives: The aim of this study was to explore the barriers that affect access to healthcare among diabetic patients living in poverty in Morocco. Methods: A qualitative study was conducted with 20 diabetic individuals selected through purposive sampling. An interview guide was developed to facilitate in-depth interviews. The data were evaluated using the qualitative content analysis method. Results: Following data saturation, the final sample consisted of 20 participants: Twelve males and eight females, ranging in age from 23 to 83 years old. Three themes were identified as barriers for the poor: Contextual barriers, healthcare institution barriers, and patient barriers. The main findings highlighted the financial difficulties patients face due to the high cost of treatment for their illnesses. There was also an emphasis on issues related to healthcare institutions, including a lack of equipment and medication, staff shortages, distance, transportation, and the nature of the relationship between healthcare providers and patients. Conclusions: The study examined the obstacles to obtaining healthcare for diabetic patients living in poverty. These findings will help generate realistic recommendations for new strategies to improve equitable access to healthcare for the poor.
Background: The assessment of quality of life highlights the effects of diabetes on patients. While the disease’s impact is often similar, socioeconomic conditions lead to notable differences. The objective of this study is to determine the impact of poverty status on the dimensions of quality of life of patients with diabetes. Materials and Methods: We conducted a cross-sectional analytical study among diabetic patients in the province of Agadir Ida Outanane, Morocco. We measured quality of life using the Moroccan version of the D 39 diabetes-specific quality of life questionnaire. Multiple linear regression was applied to predict the relationship between poverty status and quality of life dimensions, with adjustments for other covariates (sociodemographic, clinical, and therapeutic); univariate analyses were significant with a p < 0.25 value and multiple linear regression at p < 0.05. Results: There were 338 confirmed diabetic patients undergoing treatment included in the study. The poverty rate among this diabetic population was 37.3%. The study revealed median scores for impaired quality of life in diabetes control 62.5 [50.5–75], anxiety and worry 81.3 [56.3–93.8], overall perceived quality of life 50 [25–50], and diabetes severity 75 [50–100]. The results of multiple linear regression demonstrated that poverty status was associated with both dimensions anxiety and worry (β = 13.95, IC 95%: 8.12, 19.78, p < 0.001) and diabetes control (β = 8.90, IC 95%: 4.82, 12.97, p < 0.001). Conclusions: The management and psychological impact of diabetes are influenced by poverty status. It is crucial to prioritize this vulnerable population to enhance the effectiveness of interventions for comprehensive disease management.
2 December 2025 in Discover Social Science and Health
Background Diabetes is a chronic and progressive disease that affects individuals' daily lives by causing both acute and chronic complications. Its control largely depends on self-management by the patient, but precarious socioeconomic conditions limit its effectiveness. Objectives This study aims to determine the impact of living in poverty on self-care practices among diabetic patients and identify the practices that are impaired by poverty. Methods A cross-sectional analytical study was conducted among diabetic patients in the province of Agadir Ida Outane, Morocco. Self-care practices were measured via the Moroccan Arabic version of the SDSCA questionnaire. Logistic regression was employed to predict the relationship between poverty status and self-care practices after adjusting for potential confounding variables. The standard significance threshold was set at 0.05. Data processing and analysis were carried out via Jamovi statistical analysis software, version (2.3.28). Results A total of 377 confirmed diabetic patients who were receiving treatment were included in the study. The results of multiple logistic regressions show that poverty is associated with poor diabetes self-care practices (ORa = 1.72; 95% CI [1.01–2.94]; p = 0.047). The self-care dimensions significantly linked to poverty status are physical exercise (p = 0.005), blood glucose monitoring (p = < 0.001), and foot care (p = < 0.001). Conclusion Implementing appropriate measures to strengthen diabetes self-management among patients in precarious socioeconomic conditions is essential.