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Patient Delay and Associated Factors Among Pulmonary Tuberculosis Patients at Hadiya Zone Public Health Facilities in South Ethiopia, 2017

Received: 6 September 2018     Accepted: 4 October 2018     Published: 5 November 2018
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Abstract

Early diagnosis and immediate initiation of treatment are essential for an effective TB control program. Delay in treatment is significant to both disease prognoses at the individual level and within the community. Patient delay and associated factors were assessed among pulmonary tuberculosis patients who are on treatment for the first two months at Hadiya zone public health facilities, south Ethiopia, 2017. Facility based cross sectional study triangulated by Qualitative study was employed on 340 Pulmonary Tuberculosis patients from March 10-April 20, 2017. Simple random sampling technique was used to select study health facility. Directly Observed Treatment Short-course User at the beginning of data collection was consecutively recruited in to the study until the intended 340 sample sizes were fulfilled. Data was collected from the participants using a pretested structured interviewer administered questionnaire. Multivariable binary Logistic regressions were used to identify independent predictors of Tuberculosis treatment delay for those variables which are candidate in bivariate analysis. A P-value < 0.05 at 95 % confidence intervals was considered statistical significance between dependent and predictors variables. Three hundred and Forty PTB patients with a response rate of 97.7% were enrolled from seven diagnostics and treatment centers. Among 340 Pulmonary Tuberculosis patients enrolled in the study, of which 49.1% experienced patient delay. The median patient delay was 31. Unable to read and write, Poor knowledge of Tuberculosis (AOR 3.96, 95% CI (2.286.86), self-treatment (AOR: 2, 95% CI (1.143.93), and financial constraint (AOR: 2.092, 95% CI (1.113.945) were the independent predictors of patient delay. Nearly half of the patients seek their first consultation after thirty days cut-off point. Unable to read and write, Poor knowledge of Tuberculosis, self-treatment and financial constraints were found to have association with patient delay. This may lead to continues existence of Tuberculosis cases which probably leads to the emergence of multiple drugs resistant. Implementation of well-designed information education, communication/behavioral change communication strategy for Tuberculosis control program to overcome high prevalence of patient delay.

Published in European Journal of Clinical and Biomedical Sciences (Volume 4, Issue 4)
DOI 10.11648/j.ejcbs.20180404.11
Page(s) 55-62
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Tuberculosis Treatment Delay, Pulmonary Tuberculosis, Patient Delay, Hadiya Zone, Ethiopia

References
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[9] Dye C, W. B., (2012) The population dynamics and control of tuberculosis. PubMedGoogle Scholar 328(5980).
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[11] Yimer S, B. G., Alen G,, Diagnostic and treatment delay among pulmonary tuberculosis patients in Ethiopia: a cross sectional study. BMC Infectious Diseases2005, 5(112).
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[21] Kansiime C, K. S., Levi M, Asiimwe BB, KatambaA, etal, Health Service Delay among Pulmonary Tuberculosis Patients Presenting to a National Referral Hospital, Kampala, Uganda: A Cross Sectional Study. The Pan African Medical Journal, 2013, 15(84).
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    Gedeyon Getahun, Belay Erchafo, Lakew Abebe Gebretsadik, Mulugeta Chaka. (2018). Patient Delay and Associated Factors Among Pulmonary Tuberculosis Patients at Hadiya Zone Public Health Facilities in South Ethiopia, 2017. European Journal of Clinical and Biomedical Sciences, 4(4), 55-62. https://doi.org/10.11648/j.ejcbs.20180404.11

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    ACS Style

    Gedeyon Getahun; Belay Erchafo; Lakew Abebe Gebretsadik; Mulugeta Chaka. Patient Delay and Associated Factors Among Pulmonary Tuberculosis Patients at Hadiya Zone Public Health Facilities in South Ethiopia, 2017. Eur. J. Clin. Biomed. Sci. 2018, 4(4), 55-62. doi: 10.11648/j.ejcbs.20180404.11

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    AMA Style

    Gedeyon Getahun, Belay Erchafo, Lakew Abebe Gebretsadik, Mulugeta Chaka. Patient Delay and Associated Factors Among Pulmonary Tuberculosis Patients at Hadiya Zone Public Health Facilities in South Ethiopia, 2017. Eur J Clin Biomed Sci. 2018;4(4):55-62. doi: 10.11648/j.ejcbs.20180404.11

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  • @article{10.11648/j.ejcbs.20180404.11,
      author = {Gedeyon Getahun and Belay Erchafo and Lakew Abebe Gebretsadik and Mulugeta Chaka},
      title = {Patient Delay and Associated Factors Among Pulmonary Tuberculosis Patients at Hadiya Zone Public Health Facilities in South Ethiopia, 2017},
      journal = {European Journal of Clinical and Biomedical Sciences},
      volume = {4},
      number = {4},
      pages = {55-62},
      doi = {10.11648/j.ejcbs.20180404.11},
      url = {https://doi.org/10.11648/j.ejcbs.20180404.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejcbs.20180404.11},
      abstract = {Early diagnosis and immediate initiation of treatment are essential for an effective TB control program. Delay in treatment is significant to both disease prognoses at the individual level and within the community. Patient delay and associated factors were assessed among pulmonary tuberculosis patients who are on treatment for the first two months at Hadiya zone public health facilities, south Ethiopia, 2017. Facility based cross sectional study triangulated by Qualitative study was employed on 340 Pulmonary Tuberculosis patients from March 10-April 20, 2017. Simple random sampling technique was used to select study health facility. Directly Observed Treatment Short-course User at the beginning of data collection was consecutively recruited in to the study until the intended 340 sample sizes were fulfilled. Data was collected from the participants using a pretested structured interviewer administered questionnaire. Multivariable binary Logistic regressions were used to identify independent predictors of Tuberculosis treatment delay for those variables which are candidate in bivariate analysis. A P-value < 0.05 at 95 % confidence intervals was considered statistical significance between dependent and predictors variables. Three hundred and Forty PTB patients with a response rate of 97.7% were enrolled from seven diagnostics and treatment centers. Among 340 Pulmonary Tuberculosis patients enrolled in the study, of which 49.1% experienced patient delay. The median patient delay was 31. Unable to read and write, Poor knowledge of Tuberculosis (AOR 3.96, 95% CI (2.286.86), self-treatment (AOR: 2, 95% CI (1.143.93), and financial constraint (AOR: 2.092, 95% CI (1.113.945) were the independent predictors of patient delay. Nearly half of the patients seek their first consultation after thirty days cut-off point. Unable to read and write, Poor knowledge of Tuberculosis, self-treatment and financial constraints were found to have association with patient delay. This may lead to continues existence of Tuberculosis cases which probably leads to the emergence of multiple drugs resistant. Implementation of well-designed information education, communication/behavioral change communication strategy for Tuberculosis control program to overcome high prevalence of patient delay.},
     year = {2018}
    }
    

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    AU  - Belay Erchafo
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    JF  - European Journal of Clinical and Biomedical Sciences
    JO  - European Journal of Clinical and Biomedical Sciences
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    PB  - Science Publishing Group
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    AB  - Early diagnosis and immediate initiation of treatment are essential for an effective TB control program. Delay in treatment is significant to both disease prognoses at the individual level and within the community. Patient delay and associated factors were assessed among pulmonary tuberculosis patients who are on treatment for the first two months at Hadiya zone public health facilities, south Ethiopia, 2017. Facility based cross sectional study triangulated by Qualitative study was employed on 340 Pulmonary Tuberculosis patients from March 10-April 20, 2017. Simple random sampling technique was used to select study health facility. Directly Observed Treatment Short-course User at the beginning of data collection was consecutively recruited in to the study until the intended 340 sample sizes were fulfilled. Data was collected from the participants using a pretested structured interviewer administered questionnaire. Multivariable binary Logistic regressions were used to identify independent predictors of Tuberculosis treatment delay for those variables which are candidate in bivariate analysis. A P-value < 0.05 at 95 % confidence intervals was considered statistical significance between dependent and predictors variables. Three hundred and Forty PTB patients with a response rate of 97.7% were enrolled from seven diagnostics and treatment centers. Among 340 Pulmonary Tuberculosis patients enrolled in the study, of which 49.1% experienced patient delay. The median patient delay was 31. Unable to read and write, Poor knowledge of Tuberculosis (AOR 3.96, 95% CI (2.286.86), self-treatment (AOR: 2, 95% CI (1.143.93), and financial constraint (AOR: 2.092, 95% CI (1.113.945) were the independent predictors of patient delay. Nearly half of the patients seek their first consultation after thirty days cut-off point. Unable to read and write, Poor knowledge of Tuberculosis, self-treatment and financial constraints were found to have association with patient delay. This may lead to continues existence of Tuberculosis cases which probably leads to the emergence of multiple drugs resistant. Implementation of well-designed information education, communication/behavioral change communication strategy for Tuberculosis control program to overcome high prevalence of patient delay.
    VL  - 4
    IS  - 4
    ER  - 

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Author Information
  • Hadiya Zone Health Department, Hossana, Ethiopia

  • Department of Public Health, College of Medicine and Health Sciences, Wachemo University, Hossana, Ethiopia

  • Department of Health Education and Behavioral Science, Institute of Health, Faculity of Public Health, Jimma University, Jimma, Ethiopia

  • Department of Health Education and Behavioral Science, Institute of Health, Faculity of Public Health, Jimma University, Jimma, Ethiopia

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