|
ORIGINAL ARTICLE |
|
Year : 2009 | Volume
: 8
| Issue : 2 | Page : 100-104 |
|
|
Treatment outcomes among pulmonary tuberculosis patients at treatment centers in Ibadan, Nigeria
Akinola A Fatiregun, Abimbola S Ojo, Afolabi E Bamgboye
Department of Epidemiology, Medical Statistics and Environmental Health, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
Date of Web Publication | 3-Oct-2009 |
Correspondence Address: Akinola A Fatiregun Department of Epidemiology, Medical Statistics and Environmental Health, College of Medicine, Faculty of Public Health, University of Ibadan, Ibadan Nigeria
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/1596-3519.56237
Abstract | | |
Objective : To assess treatment outcomes and determinants of outcome among tuberculosis patients. Design : A longitudinal study design involving a cohort of sputum smear-positive pulmonary tuberculosis patients at initiation of therapy, who were followed up to the end of treatment at eighth month. Setting : Tuberculosis treatment centers in Ibadan, Nigeria Results : A total of 1,254 patients were followed up with a mean age of 35.0±3.3 years. The percentages of patients with treatment outcomes assessed in the study were as follows: cure (76.6%), failure (8.1%), default (6.6%), transferred out (4.8%), and death (1.9%). The cure rate varied significantly between treatment centers from 40 to 94.4% (P<0.05). The treatment centers located within the specialist health centers at Jericho and the University College Hospital had 50 and 75% cure rates, respectively. The mean age of cured patients was 31.2±3.1 years, which was significantly lower than the mean age of those with poor treatment outcomes (36.7±3.5 years; P<0.05). Males had a higher risk of a poor treatment outcome (RR=1.8; 95% CI: 1.02-1.94) than females. Also, patients with a poor knowledge of tuberculosis had a higher risk of having a poor treatment outcome (RR=1.35; 95% CI: 1.25-1.62) compared to those with a good knowledge. Conclusion : Variations in health center treatment outcomes and poor knowledge of tuberculosis among patients suggest that poor program implementation quality may be a major modifiable determinant of treatment outcomes in our environment. Abstract in French | | |
paramètre : Centres de traitement de la tuberculose en Ibadan, Nigeria objectif : Pour évaluer les résultats de traitement et les déterminants de résultat entre la tuberculose patients. design : A plan d'étude longitudinale impliquant une cohorte de salive frottis positif pulmonaire patients de la tuberculose au lancement d'une thérapie, qui ont été suivies à la fin de traitement à 8 mois th . résultats : A total des 1,254 patients ont été suivies avec un âge moyen de 35.0±3.3 ans. Les pourcentages des patients atteints de traitement résultats évalués dans l'étude étaient comme suit: remède (76.6 %), échec (8,1 %), par défaut (6,6 %), transféré (4,8 %) et la mort (1,9 %). Le taux de guérison variait considérablement entre centres de traitement de 40 à 94.4 % (p < 0,05). Les centres de traitement situés dans les centres de santé spécialiste à Jéricho et le Collège CHUV avaient de 50 et 75 % taux de guérison, respectivement. Le moyenne d'âge des patients séchées était 31.2±3.1 ans, qui était nettement moins que l'âge moyen des personnes avec les résultats de mauvais traitements (36.7±3.5 ans; p < 0,05). Les hommes avaient un risque plus élevé d'un résultat de mauvais traitements (RR = 1,8; 95 % CI: 1.02 1.94) que les femmes. En outre, patients atteints d'une mauvaise connaissance de la tuberculose avaient un supérieur risque d'avoir un résultat de mauvais traitements (RR = 1,35; 95 % CI: 1,25-1.62) par rapport à ceux ayant une bonne connaissance. conclusion : variations en centre de traitement santé et de mauvaise connaissance de la tuberculose chez les patients suggèrent que programme mauvaise qualité de mise en œuvre peut être une importante modifiable facteur déterminant de traitement des résultats dans notre environnement. Keywords: Pulmonary tuberculosis; treatment centers; treatment outcome
How to cite this article: Fatiregun AA, Ojo AS, Bamgboye AE. Treatment outcomes among pulmonary tuberculosis patients at treatment centers in Ibadan, Nigeria. Ann Afr Med 2009;8:100-4 |
How to cite this URL: Fatiregun AA, Ojo AS, Bamgboye AE. Treatment outcomes among pulmonary tuberculosis patients at treatment centers in Ibadan, Nigeria. Ann Afr Med [serial online] 2009 [cited 2023 Jun 1];8:100-4. Available from: https://www.annalsafrmed.org/text.asp?2009/8/2/100/56237 |
Introduction | |  |
Effective tuberculosis (TB) treatment has been shown to have a significant effect on the control of TB. Completion of treatment of active cases is therefore the most important priority of TB control programs. [1] Guidelines suggest a target treatment completion rate of 85% for infectious cases. [2] In 1994, the World Health Organization (WHO) estimated the rate of treatment success to vary from 77% in areas instituting WHO TB control strategies, which include the use of directly observed therapy, to 41% in areas without such strategies. [2]
In Nigeria, the treatment success rate was 79% in 2002; this increased to 85% in 2003. The default rate remained as high as 11% in the 2-year period, while the death rate was 6.7%. [3] In Ilorin, a northcentral town, a 43.7% cure rate and a 44.2% default rate were found in a 9-year review of records of TB cases. [4] A similar study in Ife, a southwest town, showed that 73% of patients completed treatment, while 27% defaulted at some point. [5] The treatment success rate has not been published for Ibadan, the largest city in Nigeria.
Moreover, Nigeria has the highest estimated number of new TB cases among the African countries (200,000 annually). [6] The treatment of TB in Ibadan, like any other part of the country, is organized to follow the National Tuberculosis and Leprosy Control Programme (NTBLCP) guidelines. Although, completion of treatment is monitored primarily by the Public Health Unit, information on treatment outcomes is rarely reported.
Poor treatment outcome has serious consequences, including ongoing infectivity and development of drug-resistant Mycobacterium tuberculosis. No reliable way exists to predict which patient will complete TB treatment; however, failure to complete treatment has been associated with alcohol abuse, drug abuse, and homelessness. [7],[8] Also, patients with AIDS have been found to be more likely than those without AIDS to complete treatment. [7] The extent to which other factors, including program quality, influence the outcome of treatment has not been explored. The objective of this study, therefore, was to assess treatment outcomes and its determinants among smear-positive pulmonary TB patients attending treatment clinics in Ibadan, Nigeria.
Materials and Methods | |  |
The study was carried out in Ibadan, the capital of Oyo, one of the 36 states of the Federal Republic of Nigeria. Oyo is located in the southwest geopolitical zone of the country. The city covers an estimated 150 sq km and a population of over three million in the year 2000. [9] The Oyo State Leprosy and Tuberculosis Control Unit, which has been in existence since the colonial era, was reactivated in 1991 during the formal launching of the NTBLCP. It is supported technically and financially by the Damien Foundation of Belgium. The treatment of TB is decentralized in Ibadan to increase accessibility, like in other parts of the state. There are 11 TB treatment centers throughout the city. All the centers are located within primary health care centers, except those affiliated with Jericho Chest Hospital and the University College Hospital (UCH), which are specialist health facilities. Treatment regimens and procedures, including laboratory diagnosis, are guided by the National Policy on TB and Leprosy Control. [6]
A longitudinal study design was utilized. All patients who were sputum smear-positive at the initiation of treatment at all of the 11 treatment centers were followed up until the completion of treatment in the eighth month. The instruments used for the collection of data included a data collection format and a structured interviewer-administered questionnaire. The data collection format was used to extract data from the patient`s record, while the structured questionnaire obtained data regarding the patients` knowledge of TB, drug treatment, and other factors likely to affect treatment outcome, such as compliance with clinic appointments, family support, and the duration of illness. Follow-up information was obtained on a monthly basis.
The main variable analyzed was the treatment outcome. Treatment outcome definitions, adapted from an international standard classification, [10] were as follows: (1) cured (a smear-positive patient based on the medical record, who had a negative sputum smear during the eighth month of treatment and on at least one previous occasion); (2) died (a patient who died during treatment irrespective of cause); (3) failed (a smear-positive patient who remained smear-positive at the fifth month of treatment); (4) defaulted (a patient who did not come back to complete chemotherapy and there was no evidence of cure through the sputum result during the fifth month of therapy), (5) treatment interruption (a patient who did not collect medications for 2 months or more at a particular time or at interval, but still come back for treatment and in the 8 th month of treatment, the sputum result was positive), and (6) transferred out (a patient who was transferred to another treatment center and for whom treatment results are not known).
A Chi-square test was used to evaluate differences in categorical variables. The Fisher's exact test was used when cell sizes were < 5. The Student t-test was used to compare continuous variables, and logistic regression analysis was performed to identify predictors of poor treatment outcome. Poor treatment outcome was defined as those patients with treatment failure, treatment default, treatment interruption, patients who transferred out or patients who died while receiving treatment. The knowledge score was computed from 10 items on knowledge about the disease, prevention, and treatment. Poor knowledge was defined as a score < 4. A multivariate model was constructed using factors that were found to be significant (a P value < 0.05) on univariate analysis. Data analysis was carried out with SPSS, version 11. Informed consent was obtained from study participants and ethical approval was obtained from the University of Ibadan and the UCH (UI/UCH) Institutional Review Committee before embarking on the study.
Results | |  |
A total of 1,254 patients were enrolled in the study. The mean age was 35.0±3.3 years. The patients were predominantly of Yoruba descent (82%). The majority of the patients was males (55.0%) and married (58.4%). Although a high proportion of the patients (94.3%) were employed, the majority (66.6%) earned less than N15, 000 per month [Table 1].
The percentages of patients with treatment outcomes assessed in the study were as follows: cured (76.6%), failed (8.1%), defaulted (6.6%), treatment interruption (2%), transferred out (4.8%), and died (1.9%). Treatment outcomes varied significantly between health centers, with the Adifase Treatment Centre having the lowest cure rate (40%) and the Agbongbon Treatment Centre having the highest cure rate (94.4%). The treatment centers located in the specialist hospitals at Jericho and the UCH had 50 and 75% cure rates, respectively [Table 2]. The mean age of the cured patients (31.2±3.1 years) was significantly lower than the mean age of those with a poor treatment outcome (36.7±3.5 years; P<0.05).
On multivariate logistic regression, factors that were found to predict poor treatment outcomes included male gender (adjusted RR 1.8; 95% CI: 1.62-1.94) and poor knowledge of TB (adjusted RR 1.35; 95% CI: 1.25-1.62; [Table 3]).
Discussion | |  |
Any treatment outcome in which a cure is not established, i.e. sputum conversion to negative among active TB cases, will pose a danger to the community; hence, prevention of such occurrences is necessary to maximize the efficiency of TB control programs. The finding herein that TB primarily affects the young age group was consistent with previous reports in developing countries. [5],[11],[12] However, TB has been reported to be two-to-four times more prevalent among the elderly age group in developed countries. [13] Also, the observation that a greater percentage (55%) of the patients in this cohort was males is consistent with other reports. [4],[14] TB is closely associated with poor living conditions, poverty, and low socioeconomic status. Although the majority of the patients in this study were employed (94.3%) and had a post-primary education (58.9%), most (72.2%) were earning < N15, 000.00 a month. This is consistent with the report from Ife [5] in which low socioeconomic status, overcrowding, and poor living conditions were identified as major risk factors in the development of pulmonary TB.
The cure rate of 76.6% found in this study is below the recommended target of 85% by the WHO. [3] Even if those who were transferred out were cured, the cure rate may not have been better than was estimated. The HIV status of the patients was not known because HIV screening tests were not routinely carried out; hence, our estimate could not be attributed to the prevalence of the infection among the study population. However, the estimated cure rate is close to the cure rate of 73% among pulmonary TB patients in the Obafemi Awolowo University Teaching Hospital (OAUTH) in Ile Ife. [5] The cure rate varied significantly between the treatment centers. The treatment centers with the lowest and highest cure rates were manned by primary health care workers. Cure rates of 50 and 75% were found for treatment centers located within the specialist hospitals at Jericho and the UCH, respectively. Although the care patients received in these centers may not necessarily represent TB management in the community, it is thought to be superior given that these are tertiary health centers. There is thus a need to study health centre-specific challenges to a high cure rate in our environment. In Montreal, [1] for example, it was found that university-affiliated centers adhered to recommended standard treatments only some of the time (in 25% of cases the initial treatment was a regimen not considered standard by current guidelines).
The data revealed that males are at an increased risk of a poor treatment outcome compared to females. This is consistent with other published reports. [15],[16] Lienhardt et al, in 1998, reported that females were more likely to achieve a cure than their male counterparts. [15] Similarly, Diel et al, attributed poor treatment outcomes, such as default, failure, and death, to males. [16] Also, the risk of a poor treatment outcome was higher among those with poor knowledge. This is consistent with the report by Jaramillo that non-compliance and other treatment outcomes are associated with poor education of patients on TB therapy. [17] It is also consistent with the findings of Khan et al, that low knowledge of TB and therapy is a predictive factor of adverse treatment outcome among TB patients. [18]
In conclusion, the findings provide a useful insight in understanding challenges to treatment outcomes. The cure rate among smear-positive pulmonary TB patients, though moderate, is less desirable, hence the need for stakeholders in TB control to intensify efforts in identifying and developing solutions. The poor knowledge identified in this study, as a barrier to higher cure rates among patients, could be modified by health education intervention. Variation in health centre treatment outcomes underscore the need for further research to identify centre-specific factors associated with poor treatment outcome.
References | |  |
1. | Wobeser W, Yuan L, Naus M; the Tuberculosis Treatment Completion Study Group. Outcome of pulmonary tuberculosis treatment in the tertiary care setting-Toronto 1992/93. CMAJ 1999;160:789-94. |
2. | Global Tuberculosis Programme. Global tuberculosis control. WHO report 1997 {rep no WHO/TB/97.225}. Geneva: World Health Organization; 1997. p. 9-15. |
3. | Global Tuberculosis Programme. Global tuberculosis control: Surveillance, planning, and financing. WHO report 2005 {rep no WHO/HTM/TB/2005.349}. Geneva: World Health Organization; 2005. p. 108-11. |
4. | Salami AK, Oluboyo PO. Management outcome of pulmonary tuberculosis: A nine year review in Ilorin. West Afr J Med 2003;22:114-9. [PUBMED] |
5. | Erhabor GE, Adebayo RA, Omodara JA, Famurewa OC. Ten year review of patterns of presentation and outcome of pulmonary tuberculosis in OAUTHC, Ile-Ife, Nigerian. J Health Sci 2003;3:34-9. |
6. | STOP TB partnership. Available from: www.stoptb.org/stop_tb_initiative/amsterdam_conference/nigeria_speech.asp [assessed on 2007 Nov 24]. |
7. | Brudney K, Dobkin J. Resurgent tuberculosis in New York City. Human immunodeficiency virus, homelessness, and the decline of tuberculosis control programs. Am Rev Respir Dis 1991;144:745-9. |
8. | Slutkin G. Management of tuberculosis in urban homeless indigents. Public Health Rep 1986;101:481-5. [PUBMED] [FULLTEXT] |
9. | Adebayo AA. Sustainable Ibadan project. Nigeria: UN-Habitat; 2003. |
10. | International union against tuberculosis and lung disease. Tuberculosis guide for low income countries. 4 th ed. Paris: IVATLD; 1996. |
11. | Kochi A. The global tuberculosis situation and the new control strategy of the World Health Organization. Tubercule 1991;72:1-6. |
12. | Kovaleva SI, Khudushina TA, Voloshina EP, Kotor GL. Analysis of tuberculosis morbidity in the southern district of Moscow. Problemy Tuberkuleza 1999;:12-3. |
13. | Davies PD. The effects of poverty and aging on the increase in tuberculosis. Monaldi Arch Chest Dis 1999;54:168-71. [PUBMED] |
14. | Scholten JN, Fujiwara PI, Frieden TR. Prevalence and factors associated with tuberculosis infection among new school entrants, New York City, 1991-1993. Int J Tuberculosis Lung Dis 1999;3:31-41. |
15. | Lienhardt C, Manneh K, Bonchier V, Lahai G, Milligan PJ, McAdam KP. Factors determining the outcome of treatment of adult smear positive tuberculosis cases in the Gambia. Int J Tuberculosis Lung Dis 1998;2:712-8. |
16. | Diel R, Niemann S. Outcome of tuberculosis treatment in Hamburg: A survey, 1997-2001. Int J Tuberculosis Lung Dis 2003;7:124-31. |
17. | Jaramillo E. Encompassing treatment with prevention: The path for a lasting control of tuberculosis. Soc Sci Med 1999;49:393-404. [PUBMED] [FULLTEXT] |
18. | Khan A, Walley J, Newell J, Imdad N. Tuberculosis in Pakistan: Socio-cultural constraints and opportunities in treatment. Soc Sci Med 2000;50:247-54. [PUBMED] [FULLTEXT] |
[Table 1], [Table 2], [Table 3]
This article has been cited by | 1 |
Drug-susceptible tuberculosis treatment outcomes and its associated factors among inmates in prison settings in Bauchi State, Nigeria, 2014–2018 |
|
| Peter Okpeh Amede, Elizabeth Adedire, Aishat Usman, Celestine Attah Ameh, Faruk Saleh Umar, Chukwuma David Umeokonkwo, Muhammad Shakir Balogun, Frederick Quinn | | PLOS ONE. 2022; 17(7): e0270819 | | [Pubmed] | [DOI] | | 2 |
Application of the information-motivation-behavioral-skills model to validate a cognitive and behavioral intervention scale for tuberculosis patients in Jos, Nigeria |
|
| Comfort Nanbam Sariem, Maxwell Patrick Dapar, Nanloh Samuel Jimam, John Chinyere Aguiyi | | Journal of Health Psychology. 2021; : 1359105321 | | [Pubmed] | [DOI] | | 3 |
Factors influencing treatment outcomes of tuberculosis patients attending health facilities in Galkayo Puntland, Somalia |
|
| Said Abasse Kassim, Andre Cote, Said Mohamed Kassim, Muhammad Abbas, Mirza Muhammad Faran Ashraf Baig, Abdiweli Mohamed Ahmed, Mahamoud M Hussein, Xiaobo Li, Rui Chen | | Journal of Public Health. 2020; | | [Pubmed] | [DOI] | | 4 |
Tuberculosis treatment outcomes: a fifteen-year retrospective study in Jos-North and Mangu, Plateau State, North - Central Nigeria |
|
| Comfort Nanbam Sariem, Patricia Odumosu, Maxwell Patrick Dapar, Jonah Musa, Luka Ibrahim, John Aguiyi | | BMC Public Health. 2020; 20(1) | | [Pubmed] | [DOI] | | 5 |
Treatment success rate among adult pulmonary tuberculosis patients in sub-Saharan Africa: a systematic review and meta-analysis |
|
| Jonathan Izudi, Daniel Semakula, Richard Sennono, Imelda K Tamwesigire, Francis Bajunirwe | | BMJ Open. 2019; 9(9): e029400 | | [Pubmed] | [DOI] | | 6 |
Treatment Outcomes of Tuberculosis and Associated Factors in an Ethiopian University Hospital |
|
| Minaleshewa Biruk,Belay Yimam,Hailay Abrha,Senafekesh Biruk,Fisseha Zewdu Amdie | | Advances in Public Health. 2016; 2016: 1 | | [Pubmed] | [DOI] | | 7 |
Where there is hope: a qualitative study examining patients’ adherence to multi-drug resistant tuberculosis treatment in Karakalpakstan, Uzbekistan |
|
| Shona Horter,Beverley Stringer,Jane Greig,Akhmet Amangeldiev,Mirzagaleb N. Tillashaikhov,Nargiza Parpieva,Zinaida Tigay,Philipp du Cros | | BMC Infectious Diseases. 2016; 16(1) | | [Pubmed] | [DOI] | | 8 |
Adherence to Anti-tuberculosis treatment and treatment outcomes among tuberculosis patients in Alamata District, northeast Ethiopia |
|
| Gebrehiwet Tesfahuneygn,Girmay Medhin,Mengistu Legesse | | BMC Research Notes. 2015; 8(1) | | [Pubmed] | [DOI] | | 9 |
Assessment of Defaulting from Directly Observed Treatment Short Course (DOTS) and Its Determinants in Benin City, Nigeria |
|
| Adolphus Inotu,Fekadu Abebe | | Journal of Tuberculosis Research. 2014; 02(01): 30 | | [Pubmed] | [DOI] | | 10 |
Prevalence of Treatment Failure among Pulmonary Tuberculosis Patients in Federal Medical Centre, Gombe, Northeastern Nigeria |
|
| Y. B. Jibrin,A. B. Ali,S. T. Saad,P. M. Kolo | | ISRN Infectious Diseases. 2013; 2013: 1 | | [Pubmed] | [DOI] | | 11 |
Prevalence and patterns of multimorbidity among tuberculosis patients in Brazil: a cross-sectional study |
|
| Bárbara Reis-Santos,Teresa Gomes,Laylla R Macedo,Bernardo L Horta,Lee W Riley,Ethel L Maciel | | International Journal for Equity in Health. 2013; 12(1): 61 | | [Pubmed] | [DOI] | | 12 |
Evaluation of directly observed treatment short courses at a secondary health institution in Ibadan, Oyo State, Southwestern Nigeria |
|
| Olajire A. Adegoke,Olalekan A. Orokotan | | Asian Pacific Journal of Tropical Medicine. 2013; 6(12): 952 | | [Pubmed] | [DOI] | | 13 |
Impact of Diabetes Mellitus on Treatment Outcomes of Tuberculosis Patients in Tertiary Care Setup |
|
| Syed Azhar Syed Sulaiman,Amer Hayat Khan,Nafees Ahmad,Muhammad Shahid Iqubal,Abdul Razak Muttalif,Mohamed Azmi Hassali | | The American Journal of the Medical Sciences. 2013; 345(4): 321 | | [Pubmed] | [DOI] | | 14 |
Effect of TB behaviour change communication (BCC) intervention in Enugu state, southeast Nigeria |
|
| Ugochukwu Uchenna Onyeonoro,Joseph Ngozi Chukwu,Charles C. Nwafor,Anthony O. Meka,Daniel C. Oshi | | Health Education. 2013; 113(6): 536 | | [Pubmed] | [DOI] | | 15 |
Impact of diabetes mellitus on treatment outcomes of tuberculosis patients in tertiary care setup |
|
| Sulaiman, S.A.S. and Khan, A.H. and Muttalif, A.R. and Hassali, M.A. and Ahmad, N. and Iqubal, M.S. | | American Journal of the Medical Sciences. 2013; 345(4): 321-325 | | [Pubmed] | | 16 |
Treatment outcome of smear-positive pulmonary tuberculosis patients in Tigray Region, Northern Ethiopia |
|
| Berhe, G. and Enquselassie, F. and Aseffa, A. | | BMC Public Health. 2012; 12(1) | | [Pubmed] | | 17 |
Treatment outcome of smear-positive pulmonary tuberculosis patients in Tigray Region, Northern Ethiopia |
|
| Gebretsadik Berhe,Fikre Enquselassie,Abraham Aseffa | | BMC Public Health. 2012; 12(1) | | [Pubmed] | [DOI] | | 18 |
Risk factors for default from tuberculosis treatment in HIV-infected individuals in the state of Pernambuco, Brazil: a prospective cohort study |
|
| Magda Maruza, Maria FP Militão Albuquerque, Isabella Coimbra, Líbia V Moura, Ulisses R Montarroyos, Demócrito B Miranda Filho, Heloísa R Lacerda, Laura C Rodrigues, Ricardo AA Ximenes | | BMC Infectious Diseases. 2011; 11(1): 351 | | [VIEW] | [DOI] | |
|
 |
 |
|