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Part of book or chapter of book . 2021
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Factors Associated to Non-Adherence in Tuberculosis Treatment, Baringo County, Kenya: A Cross-Sectional Study

Authors: Obwoge, Ronald Omenge; Sang, Richard K.; Wakube, Aurelius;

Factors Associated to Non-Adherence in Tuberculosis Treatment, Baringo County, Kenya: A Cross-Sectional Study

Abstract

Tuberculosis (TB) continues to be a major cause of high morbidity and mortality in Kenya. Kenya is among the 22 countries contributing 80% of global TB burden. The country has improved from number 13th to 15th among the 22 countries. The Kenya TB treatment defaulter rate is 15% [1]. The study was to determine the factors associated to non-adherence to TB treatment at individual, health care provider, facility and community levels. A cross sectional descriptive survey study was conducted in Baringo County covering both urban and rural areas, Kenya. Data collection was done using developed self-administered questionnaire, interview schedules and checklist. Respondents were traced through TB patient defaulters registers and health workers. Convenience sampling was employed. Data was analyzed using SPSS version 20. The study found that non adherence to treatment was associated by several factors namely: patient-related, health worker-patient relationship, health care delivery patterns and socio-cultural factors. They were noted to be associated both at intensive (46%) and continuation (54%). treatment phases. Amongst the smoking patients 45% associated it with non-adherence, those with drinking habit 58% associated it with non-adherence. 53% of patients associated it with walking distance to access the services, 41% of defaulters associated symptoms relieve during treatment made them not to adherence to treatment, and 52% associated their forgetfulness or carelessness with non-adherence.

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Keywords

non-adherence factors, treatment interrupters, Non adherence

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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