Indoor solid fuel use and tuberculosis in China: a matched case-control study

<p>Abstract</p> <p>Background</p> <p>China ranks second among the 22 high burden countries for tuberculosis. A modeling exercise showed that reduction of indoor air pollution could help advance tuberculosis control in China. However, the association between indoor air pollution and tuberculosis is not yet well established. A case control study was conducted in Anhui, China to investigate whether use of solid fuel is associated with tuberculosis.</p> <p>Methods</p> <p>Cases were new sputum smear positive tuberculosis patients. Two controls were selected from the neighborhood of each case matched by age and sex using a pre-determined procedure. A questionnaire containing demographic information, smoking habits and use of solid fuel for cooking or heating was used for interview. Solid fuel (coal and biomass) included coal/lignite, charcoal, wood, straw/shrubs/grass, animal dung, and agricultural crop residue. A household that used solid fuel either for cooking and (/or) heating was classified as exposure to combustion of solid fuel (indoor air pollution). Odds ratios and their corresponding 95% confidence limits for categorical variables were determined by Mantel-Haenszel estimate and multivariate conditional logistic regression.</p> <p>Results</p> <p>There were 202 new smear positive tuberculosis cases and 404 neighborhood controls enrolled in this study. The proportion of participants who used solid fuels for cooking was high (73.8% among cases and 72.5% among controls). The majority reported using a griddle stove (85.2% among cases and 86.7% among controls), had smoke removed by a hood or chimney (92.0% among cases and 92.8% among controls), and cooked in a separate room (24.8% among cases and 28.0% among controls) or a separate building (67.8% among cases and 67.6% among controls). Neither using solid fuel for cooking (odds ratio (OR) 1.08, 95% CI 0.62-1.87) nor using solid fuel for heating (OR 1.04, 95% CI 0.54-2.02) was significantly associated with tuberculosis. Determinants significantly associated with tuberculosis were household tuberculosis contact (adjusted OR, 27.23, 95% CI 8.19-90.58) and ever smoking tobacco (adjusted OR 1.64, 96% CI 1.01-2.66).</p> <p>Conclusion</p> <p>In a population where the majority had proper ventilation in cooking places, the association between use of solid fuel for cooking or for heating and tuberculosis was not statistically significant.</p

Shifts in Mycobacterial Populations and Emerging Drug-Resistance in West and Central Africa.

In this study, we retrospectively analysed a total of 605 clinical isolates from six West or Central African countries (Benin, Cameroon, Central African Republic, Guinea-Conakry, Niger and Senegal). Besides spoligotyping to assign isolates to ancient and modern mycobacterial lineages, we conducted phenotypic drug-susceptibility-testing for each isolate for the four first-line drugs. We showed that phylogenetically modern Mycobacterium tuberculosis strains are more likely associated with drug resistance than ancient strains and predict that the currently ongoing replacement of the endemic ancient by a modern mycobacterial population in West/Central Africa might result in increased drug resistance in the sub-region

Outcome of tuberculosis retreatment in routine conditions in Cotonou, Benin.

SETTING: National Tuberculosis Programme (NTP), Cotonou, Benin. OBJECTIVE: To study the patient characteristics and outcome of tuberculosis retreatment cases in a well-functioning NTP. METHODS: A retrospective, register-based study of all smear-positive pulmonary tuberculosis cases put on retreatment (2SERHZ/1ERHZ/5R3H3E3) between 1992 and 2001 in Cotonou. For comparison, information on new smear-positive cases in Cotonou in 1999 was entered and analysed. RESULTS: Of 8103 tuberculosis patients registered, 642 were put on retreatment. The analysis is mainly based on the 236 patients whose initial treatment regimen records were available (113 relapses, 84 failures, 39 returns after default). Most of the relapse (57%) and return after default (72%) cases were put on retreatment within 12 months after stopping their initial treatment. Overall, the retreatment results were satisfactory (78% success) and comparable with those of new cases (82%); the failure rates were low (3%), as were those for initial treatment (1%). There were more defaulters from retreatment among those who had already defaulted from initial treatment (21%). Treatment success rates were better among women than men. CONCLUSION: The standardised retreatment regimen is effective in Cotonou, probably because the NTP is functioning well, there are no drug shortages, drug taking is strictly supervised, and a good treatment plan is followed

A care pathway analysis of tuberculosis patients in benin: Highlights on direct costs and critical stages for an evidence-based decision-making.

BACKGROUND:Free tuberculosis control fail to protect patients from substantial medical and non-medical expenditure, thus a greater degree of disaggregation of patient cost is needed to fully capture their context and inform policymaking. METHODS:A retrospective cross-sectional study was conducted on a convenience sample of six health districts of Southern Benin. From August 2008 to February 2009, we recruited all smear-positive pulmonary tuberculosis patients treated under the national strategy in the selected districts. Direct out-of-pocket costs associated with tuberculosis, time delays, and care-seeking pattern were collected from symptom onset to end of treatment. RESULTS:Population description and outcome data were reported for 245 patients of whom 153 completed their care pathway. For them, the median overall direct cost was USD 183 per patient. Payments to traditional healers, self-medication drugs, travel, and food expenditures contributed largely to this cost burden. Patient, provider, and treatment delays were also reported. Pre-diagnosis and intensive treatment stages were the most critical stages, with median expenditure of USD 43 per patient and accounting for 38% and 29% of the overall direct cost, respectively. However, financial barriers differed depending on whether the patient lived in urban or rural areas. CONCLUSIONS:This study delivers new evidence about bottlenecks encountered during the TB care pathway. Financial barriers to accessing the free-of-charge tuberculosis control strategy in Benin remain substantial for low-income households. Irregular time delays and hidden costs, often generated by multiple visits to various care providers, impair appropriate patient pathways. Particular attention should be paid to pre-diagnosis and intensive treatment. Cost assessment and combined targeted interventions embodied by a patient-centered approach on the specific critical stages would likely deliver better program outcomes

Flow diagram of the study participants.

<p>All participants (245/245) reported research outcomes from onset of their TB symptoms to intensive treatment while a smaller proportion of participants (153/245) reported research outcomes for their overall care pathway.</p

Direct out-of-pocket cost for tuberculosis in every stage of the patient care pathway (in USD).

<p>Median direct costs ranged from USD 2.10 per patient for treatment initiation to USD 43.40 per patient for intensive treatment. Pre-diagnosis and intensive treatment showed the highest median costs in both regions. Rural residents also incurred high burden during diagnosis stage.</p><p>*n1 = number of patients with direct cost >0 per stage; n2 = number of patients respectively who went through up to the intensive treatment stage (245), and who went through the entire care pathway (153).</p><p>**The median (iqr) share of overall direct cost across stages by region was: 44.0% (14.1–67.6) for pre-diagnosis, 8.5% (4.3–19.3) for diagnosis, 1.1% (0.4–2.9) for treatment initiation, 30.2% (16.2–49.8) for intensive treatment and 15.4% (2.0–29.5) for continuation treatment among urban residents, and respectively 32.1% (14.1–51.7), 27.3% (11.4–52.4), 2.2% (0.9–5.7), 22.2% (13.2–41.3) and 8.6% (3.4–22.7) among rural residents.</p><p>***Distributions of proportion significantly different across region (P<0.05).</p

Participants’ selection and data collection process.

<p>Involving clinical heads to facilitate the selection process of the participants allowed to be comprehensive and to capture the target population. Similarly, several precautions were implemented at the different stages of the process to ensure best quality data.</p