In 2011, World Health Organization revised its recommendation for microbiological monitoring during treatment for multidrug-resistant tuberculosis (MDR-TB) by increasing the frequency of culture examination from quarterly to monthly after culture conversion. Implementing the recommendation requires substantial additional investment in laboratory infrastructure. The objective of this review is to provide cost evidence that is needed for national TB programs to budget for optimal monitoring strategies.
Methods and Findings
We conducted the first systematic literature review on unit cost estimates of three monitoring strategies: 1) smear only; 2) culture only; 3) combined smear and culture. 26 peer-reviewed studies were selected by searching 10 databases in English and Chinese for literature published between 1995 and 2012. Cost estimates were converted into 2010 constant USD and international dollars. We assessed the quality of the estimates using a matrix with five essential elements and provided a cost projection for the combined smear and culture tests where the data were available. The 26 studies reported the cost estimates in 16 predominantly high- or middle-income countries from 1993 to 2009. The estimated unit cost for smear, culture, and combined tests ranges from $0.26 to $10.50, $1.63 to $62.01, and $26.73 to $39.57, respectively. The ratio of culture to smear costs varies from 1.35 to 11.98. The wide range of estimates is likely attributable to using different laboratory methods in different regions and years and differing practices in collecting and reporting cost data. Most studies did not report information critical for generalizing their conclusions.
The paucity and low quality of unit cost estimates for TB monitoring in resource-poor settings impose technical challenges in predicting the resources needed for strengthening microbiological monitoring. To improve the validity and comparability of the cost data, we strongly advocate the data collection, estimation, and reporting follow protocols proposed by WHO.
Citation: Lu C, Liu Q, Sarma A, Fitzpatrick C, Falzon D, et al. (2013) A Systematic Review of Reported Cost for Smear and Culture Tests during Multidrug-Resistant Tuberculosis Treatment. PLoS ONE 8(2): e56074. doi:10.1371/journal.pone.0056074
Editor: Jean Louis Herrmann, Hopital Raymond Poincare - Universite Versailles St. Quentin, France
Received: October 30, 2012; Accepted: January 4, 2013; Published: February 15, 2013
Copyright: © 2013 World Health Organization; licensee Public Library of Science (PLOS). This is an Open Access article in the spirit of the Public Library of Science (PLOS) principles for Open Access http://www.plos.org/oa/, without any waiver of WHO's privileges and immunities under international law, convention, or agreement. This article should not be reproduced for use in association with the promotion of commercial products, services, or any legal entity. There should be no suggestion that WHO endorses any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
Funding: This study was funded by NIH 1K0HD07 1929-01 and the World Health Organization. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. DF and CF are staff members of the World Health Organization (WHO). The authors alone are responsible for the views expressed in this publication and they do not necessarily represent the decisions or policies of WHO. The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of WHO concerning the legal status of any country, territory, city or area or of its authorities, nor concerning the delimitation of its frontiers or boundaries.
Competing interests: The authors have declared that no competing interests exist.
Management of multidrug-resistant tuberculosis (MDR-TB) requires extensive monitoring of patients using bacteriologic testing. This is necessary to evaluate interim response to treatment; determine if patient isolation, regimen change, or adjunct therapy is required; and to classify patient treatment outcomes. In order to optimize the ability to detect non-response to treatment, recent changes to World Health Organization (WHO) Guidelines for the Programmatic Management of Drug-Resistant TB increased the frequency of sputum culture monitoring from quarterly to monthly after sputum culture conversion . This recommendation was the result of a systematic analysis, which observed increased delays in detection of treatment failure with bi-monthly or quarterly culture screening, and with exclusive reliance on smear . The available evidence, which was based on observational data and modeling, is considered to be of low quality , implying that new evidence would be very likely to change the recommendation.
One important consideration of implementing the recommendation is the increased cost required to assure monthly culture, in addition to smear. This will require substantial additional investment in laboratory infrastructure since current capacity of conventional laboratory is insufficient in many low-resource settings. In 2010, eight of the 22 high-burden countries (HBCs) that account for 80% of global TB cases did not meet the target of one microscopy center per 100,000 people. Among the 36 countries with the highest burden of TB and MDR-TB in the world, 20 had less than the recommended capacity of one laboratory to perform culture examination per 5 million people . In order for national TB programs to budget for implementation of optimal monitoring, or to make decisions about the implementing alternative monitoring strategies, information on costs of these strategies is essential. Although new molecular tests have been validated and approved by WHO for diagnostic purposes , to date, these tests have no role in monitoring treatment. Consequently, this study focuses exclusively on sputum smear microscopy and sputum culture for tuberculosis.
The purpose of this study is to provide cost estimates for the different MDR-TB monitoring strategies recommended by WHO. We conducted a systematic literature review of the published cost estimates for three strategies to monitor bacteriologic response of patients on MDR-TB treatment: 1) smear only; 2) culture only; 3) combined smear and culture. Our objectives are to (1) provide a comprehensive list of published cost estimates for the three testing strategies, (2) assess the quality and limitation of the published cost estimates, (3) project the cost of combined testing when data are available, and (4) compare costs across monitoring schedules and methods when data are available.
Literature Search Strategy
We searched the literature published in peer-reviewed journals from 1995 to 2012 in both English and Chinese through 10 databases: Pubmed, Embase, Web of Knowledge, Health Economic Evaluation and Database (HEED), Econlit, National Health Service Economic Evaluation Database (NHSEED), Cost-Effectiveness Analysis Registry (CEA), Research Papers in Economics (RePEc), European Network of Health Economic Evaluation Database (EURONHEED), China National Knowledge Infrastructure (CNKI), Google Scholar and WHO. We also searched grey literature from System for Information on Grey Literature in Europe (OpenSIGLE), Healthcare Management Information Consortium (HMIC) database, National Technical Information Service (NTIS), and Biological Abstracts (BIOSIS).
We refined the search strategy in consultation with experts from Harvard Countway Library of Medicine and used a combination of three parts of keywords (e.g. “costs/economics/expenditure/price”, “Tuberculosis,” and “smear/culture/diagnosis/laboratory”) when searching through databases. The detailed key words used in the search can be found in Table S1. The search was conducted between 23 March and 25 April, 2012. Citations were collected and managed electronically using EndNote X5. A total of 475 citations were selected in the search. 107 duplicates were automatically identified by EndNote and removed. This left a total of 368 studies, which were screened in two phases (Figure 1). First, we excluded 296 articles that did not contain cost information on MDR-TB diagnosis strategies in their abstracts. In the second phase, the full texts of the 72 remaining articles were evaluated and 46 were excluded because they do not have specific cost information for testing strategies. Our final study includes 26 articles –. One study  reported unit cost estimates for three countries and we listed the estimates separately in results. No protocol exists for systematic review of this topic.
Figure 1. Study selection procedure for peer-reviewed literature from 1995–2012.doi:10.1371/journal.pone.0056074.g001
We constructed a matrix to assess the quality of collected cost estimates. In order for the cost estimates to be useful and comparable, we sought at least the following information from each study: (1) the year of cost data being collected; (2) the level of estimates (national or regional), (3) the specific diagnostic methods and materials used; (4) the sources of data; and (5) the components included in cost estimation. We treated each category as binary and assigned values “0” or “1”. For instance, if a study reported the year of data being collected, “Data collection year” takes value of 1, 0 otherwise. In tables and figures, we used publication year as a proxy if the studies did not report information data collection year. If the estimate is national, “National estimate” takes value 1, 0 otherwise. If test methods (such as light-emitting diode [LED], Ziehl-Neelsen [ZN], etc) were reported in the paper, “Specification of test methods” takes value of 1, 0 otherwise. If cost data were directly collected from health facilities, “direct data sources” takes value of 1. If cost data were obtained from published price list, “direct data sources” takes value of 0. If the cost components included in estimating the unit cost of tests was reported by the paper, “specification of cost items” takes value of 1, 0 otherwise. We then summed the scores across the five categories for each estimate with 0 representing the weakest quality and 5 the best. When information was available, we also listed cost components in Table 1 so the readers could identify which cost components were included in cost estimation.
Projection of Unit Costs of Combined Smear and Culture Tests
When smear and culture costs were reported separately in the same study and the cost for combined tests was not available, we imputed the unit cost of the combined tests by adding the unit costs of the two testing strategies. The imputed value may serve as an upper bound estimate for the combined test. Total costs for combined tests may be lower than the imputed value due to a single set of procedures being performed for both tests (e.g., for sputum collection, transport, and processing). All cost estimates were converted into 2010 constant USD using an exchange rate and GDP deflator from International Monetary Fund . To adequately represent the distinction of costs across different countries, the international dollar is preferable since it adjusts the distortion effect of non-traded goods compared to single US$ value . When detailed cost information was available to identify the cost of traded and non-traded goods, we also converted the cost estimates to 2010 international dollars using purchasing power parity .
Analyzing Existing Data
When papers provided unit cost estimates for both the culture and smear tests, we calculated the cost ratio of culture to smear. For studies with the values of the cost components, we first classified the components into two categories, traded and non-traded goods, based on the definition from the WHO guideline for cost-effectiveness analysis. Traded goods (e.g. equipment, supplies and pharmaceuticals) are available on the international market and available to all countries at an international market price. Personnel, utilities, buildings and domestic transport are treated as non-traded goods . We then calculated the share of the two types of goods in unit cost.
Assessing Existing Studies
26 studies published between 1995 and 2012 reported cost estimates in 16 countries (Table 1). Of these, 22 studies were conducted in high-income or upper-middle income countries. Five studies reported unit cost estimates in four low and lower-middle income countries (India, Zambia, Kenya and Uganda) –. 17 of the selected studies reported unit cost estimates for smear test alone. 19 studies reported unit cost estimates for culture test alone. Five studies reported cost estimates for combined smear and culture test in four middle-upper or high income countries.
The quality of reported data varied considerably among 26 studies. Five of them did not report which year the cost data were collected, 12 of them reported national estimates, 14 of them specified the methods used for test, 20 of them obtained data directly from health facilities, and 13 of them provided the cost components that were used to estimate of unit costs (Table 2). Components of cost estimates were not reported in a standardized way. Some studies only included costs for materials and overhead, while others included costs on building, equipment, or even patients’ spending on travel, food and income loss due to sick leave. Using our quality scale, two studies scored 5 points, 11 studies scored 4, and 13 studies scored 3 or below (Table 2).
Table 2. Quality assessment of the studies (1 = yes; 0 = no).doi:10.1371/journal.pone.0056074.t002
Estimated costs of smear microscopy, presented in Figure 2 in constant 2010 USD, vary across countries from $0.26 in Tamil Nadu, India (2002)  to $10.50 in Thailand (1996–1997) . Unsurprisingly, unit costs for sputum smear differed in a given country and year when different microscopy methods were used. For example, in Cape Town, South Africa, unit costs for smear with light-emitting diode (LED) microscopy and Ziehl-Neelsen (ZN) in 2009 were $1.64 and $2.11 respectively .
Figure 2. Unit cost in 2010 USD for smear test alone.
(1) Cost data were sorted by WHO regions: African Region (AFR), Region of the Americas (AMR), Eastern Mediterranean Region (EMR), European Region (EUR), South-East Asia Region (SEAR) and Western Pacific Region (WPR). (2) For studies with available information on test methods, we labeled them at the end of each bar. (3)  indicates publication year when data collection year is not available. (4) ZN: Ziehl-Neelsen; FM: fluorescence microscopy; LED: light-emitting diode. a$1.16 is the average laboratory costs on 1000 subjects and three specimens. b$1.57 is the average laboratory costs on 1000 subjects and three specimens. c$1.88 is the total cost $26.27 divided by 14 sputum smears. dSum of the overhead cost ($10.4) and the material cost ($0.1). eFor the examination of three sputum specimens, the cost per patient evaluated is $3.24 for FM and $3.59 for ZN. fThe unit cost is the average over six regional estimates. For detailed information of the six regional estimates, see Table S2.doi:10.1371/journal.pone.0056074.g002
The estimated unit cost for mycobacterial culture is between $1.63 in Vladimir Oblast, Russia (2003)  and $62.01 in the United Kingdom (2007)  (Figure 3). Estimates in the same country and same year unsurprisingly vary when different media were used and follow-up tests were required. For example, in Brazil, unit costs of culture vary from $18.48 to $35.14 during the same period (2006–2008). The former value is the cost per negative culture using solid media for eight patients per week; the latter value is the cost per positive culture using MGIT for eight patients per week .
Figure 3. Unit cost in 2010 USD for culture test alone.
(1) Cost data were sorted by WHO regions: African Region (AFR), Region of the Americas (AMR), Eastern Mediterranean Region (EMR), European Region (EUR), South-East Asia Region (SEAR) and Western Pacific Region (WPR). (2) For studies with available details on test methods, we labeled them at the end of each bar. (3) “” indicates publication year when data collection year is not available. (4) LJ: Löwenstein-Jensen; MGIT: Mycobacteria Growth Indicator Tube; HLJ: Homemade Löwenstein-Jensen; CLJ: Commercially Löwenstein-Jensen; MMGIT: Manually Mycobacteria Growth Indicator Tube; AMGIT: Automated Mycobacteria Growth Indicator Tube; FIND: Foundation of innovative New Diagnostics; BD: Becton Dickinson. a$7.08 is the average costs between negative and positive tests. bThe paper indicates cost for organism identification per positive culture on MGIT was $37.55 for using standard biochemical tests, $16.18 for anti-MPB64 assay and $2.38 for cording; we added each of them to the cost per MGIT ($17.37) for calculating the cost for positive culture. c$9.25 is the total cost of $85.07 divided by 9.2 sputum cultures. dSum of the cost for sputum collection ($19.12) and the cost for bacterial culture ($19.99). eSum of the overhead cost ($10.4) and the material cost ($27.33). fThe unit cost is the average over six regional estimates. For detailed information of the six regional estimates, see Table S2.doi:10.1371/journal.pone.0056074.g003
Limited data were available for the cost of combined testing. Results have only been reported in four countries and the values ranged from $26.73 in Canada (2005–2006)  to $39.57 in USA (1997)  (Figure 4). The imputed unit cost of combined tests ranged from $2.27 in Vladimir Oblast, Russia (2003)  to $48.23 in Thailand (1996–1997) . The majority of imputed estimates lies between $10 and $30.
Figure 4. Unit cost in 2010 USD for combined smear and culture test.
(1) Directly obtained cost data are in red; imputed cost data are in blue. (2) Cost data were sorted by WHO regions: African Region (AFR), Region of the Americas (AMR), Eastern Mediterranean Region (EMR), European Region (EUR), South-East Asia Region (SEAR) and Western Pacific Region (WPR). (3) For studies with available details on test methods, we labeled them at the end of each bar. (4)  indicates publication year when data collection year is not available. (5) AFB: acid-fast bacillus; LJ: Löwenstein-Jensen; MGIT: Mycobacteria Growth Indicator Tube. aLaboratory running cost is $14.34. Estimated costs incurred by patients are $12.47 (assuming that for taking an examination, a patient has to miss one-day work, take two-way transportation and have one meal outside). b$31.55 is the total cost of $94.66 divided by three combined smear and culture tests.doi:10.1371/journal.pone.0056074.g004
The distribution of cost estimates for sputum smear is right-skewed, with a median of $1.67 (Figure 5). The cutoff points for the 25th and 75th percentiles are $1.21 and $2.54 respectively. The median of cost estimates for culture tests is $18.48 with $11.08 as the 25th percentile and $33.33 as the 75th percentile. For combined testing, the median cost is $16.82, the 25th percentile is $10.62 and the 75th percentile is $26.81.
Figure 5. Summary of estimates of the three types of tests.
(1) In each boxplot, dots represent outliers which are beyond the interval of (Q1–1.5*IQR, Q3+1.5*IQR): Q1 is the 25th percentile, Q3 is the 75th percentile, IQR is the interquartile range (75%–25%). (2) The five values listed beside each boxplot represent upper adjacent value (maximum value after excluding outliers), 75th percentile, median (50%), 25th percentile, and lower adjacent value (minimum value after excluding outliers), respectively. For instance, in Plot 5a, for estimates of smear test alone, $3.54 (upper adjacent value) is the maximum value excluding three outliers. $2.54 is the value at the 75th percentile. $1.67 is the value of median. $1.21 is the value at the 25th percentile. $0.26 (lower adjacent value) is the minimum value excluding outliers. (3) For Plot 5c, the estimates of combined test include the imputed values.doi:10.1371/journal.pone.0056074.g005
12 studies reported cost estimates for both smear and culture tests performed separately. The ratio of estimated costs for culture to smear varies from 1.35 to 11.98 (Table 3); most are larger than 1.6, the ratio that has been used previously in the context of cost and cost-effectiveness studies for drug-susceptible TB . The median ratio is 3.75. Notably, the ratio is available for only one low-income (Uganda, 2011)  and one lower-middle income country (India, 2011) . Studies conducted between 1998 and 2011 in South Africa reported ratios from 2 to 11.98 , , , .
Table 3. Ratio of unit cost for culture to smear.doi:10.1371/journal.pone.0056074.t003
Eight studies broke down estimated costs by traded inputs (i.e. supplies and equipment) and non-traded inputs (such as labor). A large variation is observed in the percentage of costs attributed to traded inputs (Table 4): for smear tests, it ranges from 0.95%  to 70.87% , and for culture test, it ranges from 21.16%  to 75.39% . Unit cost estimates did not change significantly in 2010 international dollars (I$): I$ 1.34–19.24 for smear testing and I$ 15.32–38.84 for culture testing.
The existing unit cost estimates for smear, culture, and combined smear and culture tests are very limited, especially in low or lower-middle income countries. Nevertheless, a wide range of published unit cost estimates was observed. For smear alone, the estimated unit cost is between $0.26 and $10.5. For culture alone, the estimated unit cost is between $1.63 and $62.01. For combined smear and culture testing, the estimated unit cost is between $2.27 and $48.23. Adjustment for purchasing power parity does not fully explain the wide range of unit cost estimates we observed.
The wide variability of unit costs is partly due to using different materials and methods in testing, or conducting the study in different years or regions, partly due to non-standardized practice in unit cost defining, data collecting, and reporting. For example, for those with cost components available, the reported components vary greatly across studies, from only including material and overhead cost to covering the costs of building, equipment, and even the spending of patients. Cost data were obtained from different sources, including citing figures from a price list, collecting data from a single health facility in a specific area of a country, and aggregating data from all regions in a country. Non-standardized cost estimates make it very difficult for cross-setting comparison and making meaningful inference.
The quality of the estimates is a concern. About one fifth of the selected studies did not even report the year in which cost data were collected. Half of the selected studies did not specify test methods (Migliori, or Kamolratanakul, or Qunfei, for example) used in reported smear or culture tests. Almost half of the studies did not report what components were included in cost estimation. Since we know these factors have a significant bearing on cost estimates, the lack of standardization–and low quality overall–in cost data collecting and reporting present major challenges for improving our knowledge of unit costs of various MDR-TB monitoring strategies.
The calculated unit cost ratio for culture tests to smear tests from existing studies is greater than the 1.6, a number which was previously generated from cost data collected from a government laboratory in South Africa . The extent to which this ratio varies between countries will likely depend on the relative weight of non-traded inputs in the cost of each test. The cost of non-traded inputs such a labour is more sensitive than the cost of traded inputs to the income level of a given country. Therefore, if the share of non-traded inputs in total cost is smaller for cultures than it is for smears, we would expect the ratio to be higher in the lowest income countries and lower in the highest income countries.
The new recommended strategy of monthly–rather than minimum of quarterly–culture test after culture conversion, would cost more. If smear and culture were done quarterly, only 6 combined tests would be required (in addition to 14 monthly smears). According to the current recommendations of monthly smear and culture, 20 combined tests would be required. Smear and culture both have limited ability to predict poor treatment response , . Culture, however, is much more accurate than smear in detecting the presence of viable mycobacteria. Smear microscopy sensitivity estimates range from 40 to 76%, with lower sensitivity in children and HIV-coinfected patients –. As the Guidelines note, “high value was placed on outcomes such as preventing death, decreasing the transmission of MDR-TB that could result from its delayed diagnosis, and avoiding increased use of resources. ” Consequently, increased costs associated with more frequent culture test may be justified because of the importance of early detection of risk for these negative outcomes and the possibility of implementing interventions to avert them. While it remains important for patients on treatment for MDR-TB to have access to good quality culture for their proper monitoring, our findings highlight a high cost difference between culture and smear testing. It is noteworthy that one factor contributing to this difference in low-resource setting may be the relatively infrequent use of culture compared to smear at the time of data collection or publication. These prices may be expected to decline once the initial outlay associated with expanding culture laboratories has been discounted.
Even within the same monitoring method, certain methodological differences may result in cost differences, but also in sensitivity and timing. For example, culture performed in liquid medium, using the MGIT system is known to increase the detection of viable mycobacteria over culture performed in solid LJ or Ogawa medium, while decreasing from 8 weeks to 6 weeks the time required to confirm a culture as negative. Although there was additional cost associated with MGIT in at least 3 studies that compared cost of culture in liquid and solid medium (, , and ), these cost differences may be justified since they accelerate the time to detection and intervention and increase the sensitivity of the test. There are similar differences among the cost and sensitivity of smear microscopy methods .
Lastly, three studies (, , and ) reported variation in unit cost of culture depending on whether the result was negative or positive. This highlights another possible source of variability in estimates that was not explicitly reported in the other studies.
This study is the first systematic review of cost estimates for tests commonly used to monitor MDR-TB treatment. We reviewed the relevant literature in Chinese. China has the highest prevalence of TB after India and the availability of Chinese cost data provides critical information for scaling up the monitoring tests for this large at-risk population. Using existing cost data, we also projected the unit cost of combined tests which could serve as useful reference to policy makers.
We propose a framework for evaluating the quality of unit cost data for TB monitoring tests. The five categories included in the quality score are crucial for determining the generalizability and validity of the cost data. They, may not, however, cover all important aspects. For instance, we only distinguished between the availability and absence of cost components, but did not consider the comprehensiveness of cost components. We assigned each category with the same weight and this may oversimplify the evaluation.
The paucity and low quality of unit cost estimates for TB monitoring in developing countries impose technical challenges in predicting the resource needed for strengthening microbiologic monitoring. As new molecular tests are being rapidly introduced globally to diagnose patients with presumptive TB and drug-resistant TB in one step, evaluation of the costs associated with the change in diagnostic practices – which was not the object of this paper - will be necessary. High quality cost data is especially important for the regions with high incidence of tuberculosis and MDR-TB, where scarce resources must be allocated efficiently. We strongly advocate that more data are collected from these regions, and that cost data collection, estimation, and reporting should follow the protocols proposed by the WHO  to improve the validity and comparability.
Databases and search terms of the search strategy.
Cost for smear/culture in different regions in China (2010 USD).
Conceived and designed the experiments: CL CDM. Senior authors: CL CDM. Analyzed the data: CL QL. Wrote the paper: QL CL AS CF DF CDM.
- 1. WHO website. Available: http://whqlibdoc.who.int/publications/2011/9789241501583_eng.pdf. Accessed 2012 April 20.
- 2. Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, et al. (2008) GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 336: 924–926. doi: 10.1136/bmj.39489.470347.ad
- 3. WHO website. Available: http://www.who.int/tb/publications/global_report/2011/gtbr11_main.pdf. Accessed 2012 April 20.
- 4. WHO website. Available: http://whqlibdoc.who.int/publications/2011/9789241501569_eng.pdf. Accessed 2012 April 20.
- 5. Menzies D, Lewis M, Oxlade O (2008) Costs for tuberculosis care in Canada. Can J Public Health 99: 391–396.
- 6. Floyd K, Hutubessy R, Kliiman K, Centis R, Khurieva N, et al. (2012) Cost and cost-effectiveness of multidrug-resistant tuberculosis treatment in Estonia and Russia. Eur Respir J 40: 133–142. doi: 10.1183/09031936.50169411
- 7. Rajalahti I, Ruokonen EL, Kotomaki T, Sintonen H, Nieminen MM (2004) Economic evaluation of the use of PCR assay in diagnosing pulmonary TB in a low-incidence area. Eur Respir J 23: 446–451. doi: 10.1183/09031936.04.00009704
- 8. Migliori GB, Ambrosetti M, Besozzi G, Farris B, Nutini S, et al. (1999) Cost-comparison of different management policies for tuberculosis patients in Italy. AIPO TB Study Group. Bull World Health Organ 77: 467–476.
- 9. Dinnes J, Deeks J, Kunst H, Gibson A, Cummins E, et al. (2007) A systematic review of rapid diagnostic tests for the detection of tuberculosis infection. Health Technol Assess 11: 1–196.
- 10. Heymann SJ, Brewer TF, Ettling M (1997) Effectiveness and cost of rapid and conventional laboratory methods for Mycobacterium tuberculosis screening. Public Health Rep 112: 513–523.
- 11. Wurtz R, White WD (1999) The cost of tuberculosis: utilization and estimated charges for the diagnosis and treatment of tuberculosis in a public health system. Int J Tuberc Lung Dis 3: 382–387.
- 12. Rouse DJE (2001) Economics of TB Drug Development: New Data for New Research. New York, NY: The Global Alliance for TB Drug Development.
- 13. Dowdy DW, Lourenco MC, Cavalcante SC, Saraceni V, King B, et al. (2008) Impact and cost-effectiveness of culture for diagnosis of tuberculosis in HIV-infected Brazilian adults. PLoS One 3: e4057. doi: 10.1371/journal.pone.0004057
- 14. Scherer LC, Sperhacke RD, Ruffino-Netto A, Rossetti ML, Vater C, et al. (2009) Cost-effectiveness analysis of PCR for the rapid diagnosis of pulmonary tuberculosis. BMC Infect Dis 9: 216. doi: 10.1186/1471-2334-9-216
- 15. Chen Q WL, Li Y, Yang X, Li D (2011) Interferon-γ Release Assays Screening for Latent Tuberculosis Screening: A Cost-Effectiveness Analysis. Chin J Evid-based Med 11: 768–774.
- 16. Kamolratanakul P, Hiransuthikul N, Singhadong N, Kasetjaroen Y, Akksilp S, et al. (2002) Cost analysis of different types of tuberculosis patient at tuberculosis centers in Thailand. Southeast Asian J Trop Med Public Health 33: 321–330.
- 17. Sohn H, Sinthuwattanawibool C, Rienthong S, Varma JK (2009) Fluorescence microscopy is less expensive than Ziehl-Neelsen microscopy in Thailand. Int J Tuberc Lung Dis 13: 266–268.
- 18. Suarez PG, Floyd K, Portocarrero J, Alarcon E, Rapiti E, et al. (2002) Feasibility and cost-effectiveness of standardised second-line drug treatment for chronic tuberculosis patients: a national cohort study in Peru. Lancet 359: 1980–1989. doi: 10.1016/s0140-6736(02)08830-x
- 19. WHO (2005) The efficiency of TB Laboratory services in the Russian Federation. WHO Policy Brief.
- 20. Balabanova Y, Drobniewski F, Nikolayevskyy V, Kruuner A, Malomanova N, et al. (2009) An integrated approach to rapid diagnosis of tuberculosis and multidrug resistance using liquid culture and molecular methods in Russia. PLoS One 4: e7129. doi: 10.1371/journal.pone.0007129
- 21. Sinanovic E, Floyd K, Dudley L, Azevedo V, Grant R, et al. (2003) Cost and cost-effectiveness of community-based care for tuberculosis in Cape Town, South Africa. Int J Tuberc Lung Dis 7: S56–62.
- 22. Albert H (2004) Economic analysis of the diagnosis of smear-negative pulmonary tuberculosis in South Africa: incorporation of a new rapid test, FASTPlaqueTB, into the diagnostic algorithm. Int J Tuberc Lung Dis 8: 240–247.
- 23. Hausler HP, Sinanovic E, Kumaranayake L, Naidoo P, Schoeman H, et al. (2006) Costs of measures to control tuberculosis/HIV in public primary care facilities in Cape Town, South Africa. Bull World Health Organ 84: 528–536. doi: 10.2471/blt.04.018606
- 24. Chihota VN, Grant AD, Fielding K, Ndibongo B, van Zyl A, et al. (2010) Liquid vs. solid culture for tuberculosis: performance and cost in a resource-constrained setting. Int J Tuberc Lung Dis 14: 1024–1031.
- 25. Whitelaw A, Peter J, Sohn H, Viljoen D, Theron G, et al. (2011) Comparative cost and performance of light-emitting diode microscopy in HIV-tuberculosis-co-infected patients. Eur Respir J 38: 1393–1397. doi: 10.1183/09031936.00023211
- 26. Vassall A, van Kampen S, Sohn H, Michael JS, John KR, et al. (2011) Rapid diagnosis of tuberculosis with the Xpert MTB/RIF assay in high burden countries: a cost-effectiveness analysis. PLoS Med 8: e1001120. doi: 10.1371/journal.pmed.1001120
- 27. Muniyandi M RR, Balasubramanian R (2006) Estimating provider cost for treating patients with tuberculosis under revised national tuberculosis control programme (RNTCP). Indian J Tuberc 53: 12–17.
- 28. Mueller DH, Mwenge L, Muyoyeta M, Muvwimi MW, Tembwe R, et al. (2008) Costs and cost-effectiveness of tuberculosis cultures using solid and liquid media in a developing country. Int J Tuberc Lung Dis 12: 1196–1202.
- 29. Kivihya-Ndugga LE, van Cleeff MR, Githui WA, Nganga LW, Kibuga DK, et al. (2003) A comprehensive comparison of Ziehl-Neelsen and fluorescence microscopy for the diagnosis of tuberculosis in a resource-poor urban setting. Int J Tuberc Lung Dis 7: 1163–1171.
- 30. Okello D, Floyd K, Adatu F, Odeke R, Gargioni G (2003) Cost and cost-effectiveness of community-based care for tuberculosis patients in rural Uganda. Int J Tuberc Lung Dis 7: S72–79.
- 31. International Monetary Fund website. Available: http://www.imf.org/external/ns/cs.aspx?id=28. Accessed 2012 April 2.
- 32. WHO website. Available: http://www.who.int/choice/publications/p_2003_generalised_cea.pdf. Accessed 2012 April 2.
- 33. WHO website. Available: http://whqlibdoc.who.int/hq/2002/who_cds_tb_2002.305a.pdf. Accessed 2012 April 2.
- 34. Horne DJ, Royce SE, Gooze L, Narita M, Hopewell PC, et al. (2010) Sputum monitoring during tuberculosis treatment for predicting outcome: systematic review and meta-analysis. Lancet Infect Dis 10: 387–394. doi: 10.1016/s1473-3099(10)70071-2
- 35. Lagrange PH, Thangaraj SK, Dayal R, Despande A, Ganguly NK, et al. (2012) A toolbox for tuberculosis diagnosis: an Indian multicentric study (2006–2008): microbiological results. PLoS One 7: e43739. doi: 10.1371/journal.pone.0043739
- 36. Cuevas LE, Yassin MA, Al-Sonboli N, Lawson L, Arbide I, et al. (2011) A multi-country non-inferiority cluster randomized trial of frontloaded smear microscopy for the diagnosis of pulmonary tuberculosis. PLoS Med 8: e1000443. doi: 10.1371/journal.pmed.1000443
- 37. Kanaujia GV, Lam PK, Perry S, Brusasca PN, Catanzaro A, et al. (2005) Integration of microscopy and serodiagnostic tests to screen for active tuberculosis. Int J Tuberc Lung Dis 9: 1120–1126.
- 38. Matee M, Mtei L, Lounasvaara T, Wieland-Alter W, Waddell R, et al. (2008) Sputum microscopy for the diagnosis of HIV-associated pulmonary tuberculosis in Tanzania. BMC Public Health 8: 68. doi: 10.1186/1471-2458-8-68
- 39. Cattamanchi A, Dowdy DW, Davis JL, Worodria W, Yoo S, et al. (2009) Sensitivity of direct versus concentrated sputum smear microscopy in HIV-infected patients suspected of having pulmonary tuberculosis. BMC Infect Dis 9: 53. doi: 10.1186/1471-2334-9-53
- 40. Marais BJ, Brittle W, Painczyk K, Hesseling AC, Beyers N, et al. (2008) Use of light-emitting diode fluorescence microscopy to detect acid-fast bacilli in sputum. Clin Infect Dis 47: 203–207. doi: 10.1086/589248