Investigations of socioeconomic factors associated with follow-up compliance with malaria treatment in Haiti.

Objective: To identify factors affecting compliance with follow-up during treatment in confirmed malaria patients at two health centers in Haiti.

Methods: A prospective observational study of malaria patients undergoing treatment over a six-week period. Patients' return visits (follow-up visits) to the health centers for consultation in accordance with the physicians' requests were recorded and used to determine compliance. Socioeconomic data were obtained from patient enrollment questionnaires and through post-treatment interviews. The management practices and procedures at the health centers to retain patients were also reviewed. Descriptive statistics and Spearman's rank correlation were used to identify significant factors, which were used as variables in a logistic regression model.

Results: Sixty-eight percent of the malaria patients completed follow-up, with higher compliance being recorded in the larger, more established health center of Leogane (67%) than Cite Soleil (33%). The patient socioeconomic profiles differed between the two health center locations by level of education, religious diversity, household size, and percentage of married individuals. Crude logistic regression analyses identified health center location (OR = 0.179 [95% CI 0.064, 0.504]) and household size (OR = 1.374 [95% CI 1.056, 1.787]) to be associated with compliance. The adjusted model only identified health center location (OR = 0.226 [95% CI 0.056, 0.918]) as significantly associated with compliance.

Conclusion: Although patients' household size may be important according to the crude logistic regression analysis, in the adjusted analysis the site location of the health center where patients receive treatment was identified as the only important factor associated with follow-up compliance in malaria patients during treatment in Haiti. This information might be helpful to improve treatment outcomes and contribute to the monitoring of antimalarial resistance in Haiti.