{"title":"影响摩洛哥坚持抗结核治疗的因素：一项来自bsamni mal - khsamnifra地区的横断面研究。","authors":"Mohamed Dellal, Sanae Batoui, Youness Aassem, Khalid Habbari","doi":"10.24171/j.phrp.2025.0153","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Adherence to anti-tuberculosis treatment is essential for achieving successful outcomes and preventing the emergence of drug-resistant strains. This study aimed to evaluate adherence levels and identify factors associated with non-adherence among tuberculosis patients in the Béni Mellal-Khénifra region of Morocco. We hypothesized that sociodemographic, clinical, and behavioral factors influence adherence.</p><p><strong>Methods: </strong>A facility-based cross-sectional study was conducted from January 2023 to December 2024 in 2 Tuberculosis and Respiratory Disease Diagnostic Centers in the Béni Mellal-Khénifra region. A total of 481 patients who had been on treatment for at least 2 months were recruited using convenience sampling. Data were collected through structured, pre-tested questionnaires administered in face-to-face interviews and verified against treatment cards and medical records. Adherence was defined as taking ≥90% of prescribed doses. Multivariable logistic regression was used to identify independent predictors of non-adherence.</p><p><strong>Results: </strong>Among the 481 participants, 8.1% were non-adherent. Significant predictors of non-adherence included forgetfulness (adjusted odds ratio [AOR], 38.84; 95% confidence interval [CI], 11.35-132.88), adverse effects (AOR, 14.26; 95% CI, 3.17-64.13), male sex (AOR, 6.77; 95% CI, 1.45-31.60), rural residence (AOR, 4.42; 95% CI, 1.37-14.25), self-adjusted dosing (AOR, 5.83; 95% CI, 1.20-28.34), stopping treatment after symptom improvement (AOR, 6.56; 95% CI, 1.34-32.14), and missed follow-up visits (AOR, 6.74; 95% CI, 1.56-29.19).</p><p><strong>Conclusion: </strong>Although overall adherence was high, 8.1% of patients were non-adherent. Strategies to improve adherence should focus on addressing forgetfulness, managing side effects, enhancing access in rural areas, and reinforcing patient education and follow-up systems to improve treatment outcomes in this and similar settings.</p>","PeriodicalId":38949,"journal":{"name":"Osong Public Health and Research Perspectives","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors influencing adherence to anti-tuberculosis treatment in Morocco: a cross-sectional study from the Béni Mellal-Khénifra region.\",\"authors\":\"Mohamed Dellal, Sanae Batoui, Youness Aassem, Khalid Habbari\",\"doi\":\"10.24171/j.phrp.2025.0153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Adherence to anti-tuberculosis treatment is essential for achieving successful outcomes and preventing the emergence of drug-resistant strains. This study aimed to evaluate adherence levels and identify factors associated with non-adherence among tuberculosis patients in the Béni Mellal-Khénifra region of Morocco. We hypothesized that sociodemographic, clinical, and behavioral factors influence adherence.</p><p><strong>Methods: </strong>A facility-based cross-sectional study was conducted from January 2023 to December 2024 in 2 Tuberculosis and Respiratory Disease Diagnostic Centers in the Béni Mellal-Khénifra region. A total of 481 patients who had been on treatment for at least 2 months were recruited using convenience sampling. Data were collected through structured, pre-tested questionnaires administered in face-to-face interviews and verified against treatment cards and medical records. Adherence was defined as taking ≥90% of prescribed doses. Multivariable logistic regression was used to identify independent predictors of non-adherence.</p><p><strong>Results: </strong>Among the 481 participants, 8.1% were non-adherent. Significant predictors of non-adherence included forgetfulness (adjusted odds ratio [AOR], 38.84; 95% confidence interval [CI], 11.35-132.88), adverse effects (AOR, 14.26; 95% CI, 3.17-64.13), male sex (AOR, 6.77; 95% CI, 1.45-31.60), rural residence (AOR, 4.42; 95% CI, 1.37-14.25), self-adjusted dosing (AOR, 5.83; 95% CI, 1.20-28.34), stopping treatment after symptom improvement (AOR, 6.56; 95% CI, 1.34-32.14), and missed follow-up visits (AOR, 6.74; 95% CI, 1.56-29.19).</p><p><strong>Conclusion: </strong>Although overall adherence was high, 8.1% of patients were non-adherent. Strategies to improve adherence should focus on addressing forgetfulness, managing side effects, enhancing access in rural areas, and reinforcing patient education and follow-up systems to improve treatment outcomes in this and similar settings.</p>\",\"PeriodicalId\":38949,\"journal\":{\"name\":\"Osong Public Health and Research Perspectives\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Osong Public Health and Research Perspectives\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24171/j.phrp.2025.0153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Osong Public Health and Research Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24171/j.phrp.2025.0153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Factors influencing adherence to anti-tuberculosis treatment in Morocco: a cross-sectional study from the Béni Mellal-Khénifra region.
Objectives: Adherence to anti-tuberculosis treatment is essential for achieving successful outcomes and preventing the emergence of drug-resistant strains. This study aimed to evaluate adherence levels and identify factors associated with non-adherence among tuberculosis patients in the Béni Mellal-Khénifra region of Morocco. We hypothesized that sociodemographic, clinical, and behavioral factors influence adherence.
Methods: A facility-based cross-sectional study was conducted from January 2023 to December 2024 in 2 Tuberculosis and Respiratory Disease Diagnostic Centers in the Béni Mellal-Khénifra region. A total of 481 patients who had been on treatment for at least 2 months were recruited using convenience sampling. Data were collected through structured, pre-tested questionnaires administered in face-to-face interviews and verified against treatment cards and medical records. Adherence was defined as taking ≥90% of prescribed doses. Multivariable logistic regression was used to identify independent predictors of non-adherence.
Results: Among the 481 participants, 8.1% were non-adherent. Significant predictors of non-adherence included forgetfulness (adjusted odds ratio [AOR], 38.84; 95% confidence interval [CI], 11.35-132.88), adverse effects (AOR, 14.26; 95% CI, 3.17-64.13), male sex (AOR, 6.77; 95% CI, 1.45-31.60), rural residence (AOR, 4.42; 95% CI, 1.37-14.25), self-adjusted dosing (AOR, 5.83; 95% CI, 1.20-28.34), stopping treatment after symptom improvement (AOR, 6.56; 95% CI, 1.34-32.14), and missed follow-up visits (AOR, 6.74; 95% CI, 1.56-29.19).
Conclusion: Although overall adherence was high, 8.1% of patients were non-adherent. Strategies to improve adherence should focus on addressing forgetfulness, managing side effects, enhancing access in rural areas, and reinforcing patient education and follow-up systems to improve treatment outcomes in this and similar settings.
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