Reasons for defaulting from drug-resistant tuberculosis treatment in Armenia: a quantitative and qualitative study

Sánchez-Padilla, Elisabeth; Marquer, Caroline; Kalon, Stobdan; Qayyum, Shahina; Hayrapetyan, Armen; Varaine, Francis; Bastard, Mathieu; Bonnet, Maryline

doi:10.5588/ijtld.13.0369

Cited by 44 publications

(65 citation statements)

References 23 publications

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“…It is supported by the previous study that stated low self efficacy will give impact to treatment disobedience (DiefenbachElstob et al, 2017;Muhammed et al, 2015). Also added by Sanchez-Padilla et al (2014) that patients' knowledge concerning to TB treatment needs to be supported by TB patients' belief of being able or capable to undergo TB treatment obediently so that it will not drop out. Self Efficacy can be established from the surrounding environment.…”

Section: The Association Between Perceivedmentioning

confidence: 78%

Health Belief Model and PRECEDE PROCEED on the Risk Factors of Multidrug Resistant Tuberculosis in Surakarta, Central Java

Vera

Rahardjo

Murti

2017

J EPIDEMIOL PUBLIC HEALTH

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Background: Tuberculosis (TB) is one of the lethal infectious diseases in the world. One of the current biggest challenges of Tuberculosis control is the widespread emergence of Multidrug Resistant Tuberculosis (MDR-TB). There are several potential risk factors of MDR-TB that can be explained by Health Belief Model and PRECEDE PROCEED model framework. This study aimed to analyzed factors associated with MDR-TB using Health Belief Model and PRECEDE PROCEED. Subjects and Method:This was an analytic observational study with case control design. The study was conducted at Dr. Moewardi Hospital and BBKPM, Surakarta, from September to November 2017. The study subjects were selected using fixed disease sampling, consisting of 76 MDR-TB patients and 228 TB patients. The dependent variable was MDR-TB. The independent variables were educational level, self-efficacy, drug-taking adherence, smoking, nutritional status, perceived of susceptibility, perceived barrier, perceived severity, perceived benefit, and drug-taking supervisor. The data were collected using questionnaire and analyzed by path analysis. Results: The risk of MDR-TB was increased by lack of drug-taking adherence (b= -1.69; 95% CI= -2.28 to -1.09; p <0.001), poor nutritional status (b= 1.32; 95% CI= 0.72 to 1.92; p<0.001), and smoking (b= 1.32; 95% CI= 0.72 to 1.92; p <0.001). Drug-taking adherence was increased by perceived susceptibility (b= 0.91; 95% CI= 0.18 to 1.63; p=0.015), perceived severity (b= 1.01; 95% CI= 0.28 to 1.74; p=0.007), perceived benefit (b= 1.69; 95% CI= 0.97 to 2.41; p<0.001), drugtaking advisor (b= 2.16; 95% CI= 1.44 to 2.88; p<0.001), self efficacy (b= 1.58; 95% CI= 0.86 to 2.31; p<0.001), and low perceived barrier (b= -1.10; 95% CI= -1.82 to -0.38; p=0.003). Conclusion:The risk of MDR-TB is increased by the lack of drug-taking adherence, poor nutritional status, and smoking.

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Section: The Association Between Perceivedmentioning

confidence: 78%

Health Belief Model and PRECEDE PROCEED on the Risk Factors of Multidrug Resistant Tuberculosis in Surakarta, Central Java

Vera

Rahardjo

Murti

2017

J EPIDEMIOL PUBLIC HEALTH

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“…Indeed, as shown in a previous study we carried out in Armenia, poor treatment tolerability and poor treatment response increased the risk of patients to stop their treatment [26,27]. Additional factors such as alcohol consumption that is very high among patients from FSU countries have been identified as risk factors for being lost to follow-up in other studies [28,29]. Among HIV-patients, those who did not received an ART before or at the start of DR-TB treatment were at higher risk of experiencing an unfavorable treatment outcome.…”

Section: Discussionmentioning

confidence: 97%

Outcomes of HIV-infected versus HIV-non-infected patients treated for drug-resistance tuberculosis: Multicenter cohort study

2018

Indian Journal of Tuberculosis

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“…This demonstrates a link between health service factors and socio-economic factors as patients' defaulted treatment due to poor access to health facilities which is common in poor societies. [41] …”

Section: Discussionmentioning

confidence: 99%

“…The World Health Organization (WHO) target of achieving 85% adherence has not been met by many countries worldwide despite a case detection of more than 70%. [3] Evidence of poor TB treatment adherence still exist including treatment failure, development of MDR and XDR resistant strains as well as the spread of TB in communities. [3] This can be very costly to a country and can have a negative impact on the health care system.…”

Section: Introductionmentioning

confidence: 99%

“…[3] Evidence of poor TB treatment adherence still exist including treatment failure, development of MDR and XDR resistant strains as well as the spread of TB in communities. [3] This can be very costly to a country and can have a negative impact on the health care system. According to the TB guidelines, [4] treatment defaulting is defined as failure or interruption to take the prescribed treatment for a period of two consecutive months or longer.…”

Section: Introductionmentioning

confidence: 99%

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Factors that contribute to treatment defaulting amongst tuberculosis patients in Windhoek District, Namibia

Endjala

Mohamed

Ashipala

2017

CNS

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Objective: This study aimed to investigate the factors that contribute to treatment defaulting amongst Tuberculosis (TB) patients at a major health centre in Windhoek district, Namibia. Methods: A descriptive and explorative qualitative study using in-depth interviews was conducted among ten TB defaulters. Key informant interviews were also conducted with the two TB nurses based at the health centre. Eligible participants were purposively selected. A thematic content analysis of transcribed data was conducted. Results: The study results indicate that defaulting TB treatment is a big challenge to TB management. The reasons for defaulting given by respondents were complex and included patient factors such as medication related factors, lack of knowledge and information as well as alcohol abuse. The findings also revealed unemployment as a major socio-economic factor that contributes to defaulting. In addition, the study shows that community, family, religious and cultural factors such as poor family support, work-related factors and religious and cultural beliefs have an influence on defaulting. Conclusions: The study concludes that no single factor contributed to treatment defaulting amongst TB patients in the selected health centre in Windhoek district and this concurred with the literature.

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Reasons for defaulting from drug-resistant tuberculosis treatment in Armenia: a quantitative and qualitative study

Cited by 44 publications

References 23 publications

Health Belief Model and PRECEDE PROCEED on the Risk Factors of Multidrug Resistant Tuberculosis in Surakarta, Central Java

Health Belief Model and PRECEDE PROCEED on the Risk Factors of Multidrug Resistant Tuberculosis in Surakarta, Central Java

Outcomes of HIV-infected versus HIV-non-infected patients treated for drug-resistance tuberculosis: Multicenter cohort study

Factors that contribute to treatment defaulting amongst tuberculosis patients in Windhoek District, Namibia

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