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

Bibliographic Data

ID14966767
AuthorsTamar E Carter (0000-0002-9438-9541, Baylor University, Waco, Texas, United States of America, corresponding author), Alexandre Existe (Ministère de la Santé Publique et de la Population, Port-au-Prince, Haiti), Madsen Beau de Rochars (University of Florida, Gainesville, Florida, United States of America), Bernard A Okech (0000-0003-3583-3291, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America)
Year2021
Volume45
Pages1
Publication date2021-12-10
Open AccessYes
TypeARTICLE
VenueRevista Panamericana de Salud Pública (JOURNAL)
Journal identifiersISSN: 1020-4989 • E-ISSN: 1680-5348
PublisherPan American Health Organization (PUBLISHER • US)
DOI10.26633/rpsp.2021.150
PMID34908812
OpenAlexW4200350684
LanguageEN
References cited14

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

Descriptive statistics · Environmental health · Logistic regression · Malaria · Observational study · Population · Socioeconomic status · Demography · Global Maternal and Child Health · Malaria Research and Control · Medicine · Mosquito-borne diseases and control · Internal Medicine

  • Adherence to Medication

    Lars Osterberg, Terrence F Blaschke et al.•New England Journal of Medicine•2005

Highly citedNo

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