Malaria knowledge and treatment adherence in a Brazilian Amazon community

Souza, Taísa Guimarães de; Reiners, Annelita Almeida Oliveira; Azevedo, Rosemeiry Capriata de Souza; Fontes, Cor Jésus Fernandes; Ferreira, Rita Graziela; Carmo, P.

doi:10.3855/jidc.7129

Cited by 7 publications

(41 citation statements)

References 14 publications

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“…In Iran, several reports have documented the problem of low treatment adherence [7][8][9]. Patient adherence behavior has the potential to make a tremendous impact on disease control efforts [10].…”

Section: Introductionmentioning

confidence: 99%

Determinants of adherence to tuberculosis treatment in Iranian patients: Application of health belief model

Azizi¹,

Karimy²,

Salahshour³

2018

J Infect Dev Ctries

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Introduction: Adherence to TB treatment is an important issue for TB control, with key health consequences. Identification of the factors associated with that adherence is also important. The objective of this study was to identify factors associated with adherence to tuberculosis treatment, using the health belief model (HBM). Methodology: Overall 297 TB patients were recruited to the study using the census method. All patients completed a 40-question survey form anonymously. The questionnaire was developed based on the Health Belief Model. Data collection was carried out through interviews and questionnaires, as well as observing medical records and medical cards to be used in medical performance checklists. Results: The participants comprised 159 men and 138 women with an average age of 56.8 years (range 19-72 years). The results showed that the variables of perceived threat, benefits, barriers, and self-efficacy accounted for 42% of the variance in therapeutic adherence. The strongest predictor of adherence was found to be self-efficacy. Conclusion: HBM appears to be a suitable model in predicting therapeutic adherence in TB patients. Our results emphasize the centrality of self-efficacy in treatment adherence, that health educators should consider when developing programs to motivate patients to adhere to treatment.

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Section: Introductionmentioning

confidence: 99%

Determinants of adherence to tuberculosis treatment in Iranian patients: Application of health belief model

Azizi¹,

Karimy²,

Salahshour³

2018

J Infect Dev Ctries

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“…The sample size described in the studies varied from 27 to 300 participants for the observational/quasi-experimental studies and from 50 to 324 participants for the experimental ones. The patient populations were children and adults, and nine (42.9%) studies excluded pregnant women ( Fungladda et al, 1998 ; Lemma et al, 2011 ; Ferreira et al, 2014 ; Minzi et al, 2014 ; Osorio-de-Castro et al, 2015 ; Souza et al, 2016 ; Saravu et al, 2018 ; Oduro et al, 2019 ; Rosa et al, 2020 ). The eligible studies assessed adherence to antimalarials prescribed for the treatment of malaria caused by P. vivax (10/21, 47.6%) and P. falciparum (16/21, 76.2%).…”

Section: Resultsmentioning

confidence: 99%

“…When adherence was measured based on a biological assay, the estimated adherence rate was 95.3% ( Cheoymang et al, 2015 ) versus 71.1–100% based on pill counts ( Almeida et al, 2014 ; Cheoymang et al, 2015 ; Osorio-de-Castro et al, 2015 ), 50–100% ( Rocha, 2008 ; Cheoymang et al, 2015 ; Osorio-de-Castro et al, 2015 ) based on interviews, and 63.8–83% based on questionnaires ( Qingjun et al, 1998 ; Almeida et al, 2014 ). When adherence was measured using a combination of different methods, the estimated rate of adherence varied from 44.1 to 75% ( Souza et al, 2016 ; Saravu et al, 2018 ; Rosa et al, 2020 ). Studies of P. falciparum treatment also reported a wide range of adherence rates: 45.4–92.6% by pill count ( Asante et al, 2009 ; Amponsah et al, 2015 ; Osorio-de-Castro et al, 2015 ), 66.7–100% by interview ( Rocha, 2008 ; Minzi et al, 2014 ; Osorio-de-Castro et al, 2015 ; Takahashi et al, 2018 ), 16.7% by electronic pillbox ( Steury, 2016 ), and 86.8–100% by biological assays ( Na-Bangchang et al, 1997 ; Minzi et al, 2014 ).…”

Section: Resultsmentioning

confidence: 99%

Methods to Assess Adult and Adolescent Patients’ Adherence to Antimalarial Treatment: A Systematic Review

Santos

Guaraldo

Pedro³

et al. 2022

Front. Pharmacol.

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Malaria is a curable disease for which early diagnosis and treatment, together with the elimination of vectors, are the principal control tools. Non-adherence to antimalarial treatment may contribute to therapeutic failure, development of antimalarial resistance, introduction or resurgence of malaria in non-endemic areas, and increased healthcare costs. The literature describes several methods to directly or indirectly assess adherence to treatment, but no gold standard exists. The main purpose of this review is to systematize the methods used to assess patient adherence to antimalarial treatment. A systematic review was performed, in accordance with the PRISMA statement, of the following databases: LILACS, EMBASE, PUBMED, COCHRANE, GOOGLE SCHOLAR, WEB OF SCIENCE, SCOPUS, and OPENGREY, through 14 December 2021. A snowball search was also performed by screening the references of the included studies as well as those cited in relevant reviews. Inclusion criteria were reporting assessment of the patient’s adherence to antimalarials in individuals with laboratory diagnosis of malaria, the description of antimalarials prescribed, and adherence estimates. Exclusion criteria were studies exclusively about directly observed therapy, studies of populations ≤12 yo and guidelines, commentaries, reviews, letters, or editorials. Study quality was assessed using MINORS and the Cochrane Risk of Bias Tool. Proportions were calculated to measure frequencies considering the number of articles as the denominator. Twenty-one studies were included in this review. Most of them (76.5%) assessed adherence to falciparum malaria treatment. Seventeen studies (80.9%) used a combination of methods. The methods described were pill counts, self-reports, biological assays, use of electronic pillboxes, and clinical cure. It was possible to identify different adherence classifications for all the methods used. Our review found that indirect methods like pill counts and self-reports are the most commonly used. Combining an method that gives solid proof of the ingestion of medication and a method that completes the research with information regarding factors, beliefs or barrier of adherence seems to be the best approach. Future studies of antimalarial treatment should standardize adherence classifications, and collect data on the types and causes of nonadherence, which can contribute to the development of tools to promote medication adherence.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020148054, identifier CRD42020148054

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“…19 Knowledge of antimalarial drugs could also be affected by their migration status, educational level, and beliefs. 72 …”

Section: Discussionmentioning

confidence: 99%

“…19 Knowledge of antimalarial drugs could also be affected by their migration status, educational level, and beliefs. 72 Knowledge of IRS was associated with low risk of malaria infection at transit when compared to destination. This could be linked to information shared at transit on malaria prevention methods and IRS practices at transit sites.…”

mentioning

confidence: 97%

Malaria Infection is High at Transit and Destination Phases Among Seasonal Migrant Workers in Development Corridors of Northwest Ethiopia: A Repeated Cross-Sectional Study

Tilaye

Tessema

Alemu

2021

RRTM

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Purpose: Malaria is a leading public health problem in Ethiopia. Every year, thousands of seasonal farm workers travel to farm corridors in Northwest Ethiopia and fall at risk of malaria infection. However, the magnitude of malaria infection and risk factors during harvest time were not well identified. This study aimed at estimating the prevalence and risk factors of malaria infection among seasonal migrant workers in Northwest Ethiopia. Methods: A repeated cross-sectional study was conducted at transit and destination phases in Metema district from September 15, 2018 to October 30, 2019. Data were collected using a structured questionnaire. A capillary blood sample was collected to examine infection with malaria parasite using a microscope. A multivariate logistic regression technique was used to determine risk factors. Results:The malaria prevalence at transit and destination phases among migrant workers was 13.5% (95% CI: 12.07-14.93%) and 18.7% (95% CI: 16.40-21.02%), respectively. The combined prevalence was 16.1% (95% CI: 14.67-17.63%). The odds of malaria infection among migrant workers at the destination phase was 1.5 (OR=1.5, 95% CI 1.167-1.846) times higher compared to the transit phase. Education (AOR=8.198; 95% CI: 4.318-15.564), knowledge of antimalarial drugs (AOR=2.4; 95% CI: 1.43-3.95), and use of long-lasting insecticidal nets (AOR=5.0; 95% CI: 3.34-4.43) were significantly associated with malaria infection at migration phases. Conclusion: This study showed that the burden of malaria among seasonal migrant workers was high at transit and destination phases. Malaria prevalence was higher at the destination phase compared to the transit phase. A tailored malaria prevention intervention is needed including awareness creation, screening, treatment, repellent, and prophylaxis at both phases to reduce malaria infections.

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Malaria knowledge and treatment adherence in a Brazilian Amazon community

Cited by 7 publications

References 14 publications

Determinants of adherence to tuberculosis treatment in Iranian patients: Application of health belief model

Determinants of adherence to tuberculosis treatment in Iranian patients: Application of health belief model

Methods to Assess Adult and Adolescent Patients’ Adherence to Antimalarial Treatment: A Systematic Review

Malaria Infection is High at Transit and Destination Phases Among Seasonal Migrant Workers in Development Corridors of Northwest Ethiopia: A Repeated Cross-Sectional Study

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