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Are current case-finding methods under-diagnosing tuberculosis among women in Myanmar? An analysis of operational data from Yangon and the nationwide prevalence survey

BMC Infectious Diseases volume 16, Article number: 110 (2016) Cite this article

Abstract

Background

Although there is a large increase in investment for tuberculosis control in Myanmar, there are few operational analyses to inform policies. Only 34 % of nationally reported cases are from women. In this study, we investigate sex differences in tuberculosis diagnoses in Myanmar in order to identify potential health systems barriers that may be driving lower tuberculosis case finding among women.

Methods

From October 2014 to March 2015, we systematically collected data on all new adult smear positive tuberculosis cases in ten township health centres across Yangon, the largest city in Myanmar, to produce an electronic tuberculosis database. We conducted a descriptive cross-sectional analysis of sex differences in tuberculosis diagnoses at the township health centres. We also analysed national prevalence survey data to calculate additional case finding in men and women by using sputum culture when smear microscopy was negative, and estimated the sex-specific impact of using a more sensitive diagnostic tool at township health centres.

Results

Overall, only 514 (30 %) out of 1371 new smear positive tuberculosis patients diagnosed at the township health centres were female. The proportion of female patients varied by township (from 21 % to 37 %, p = 0.0172), month of diagnosis (37 % in February 2015 and 23 % in March 2015 p = 0.0004) and age group (26 % in 25–64 years and 49 % in 18–25 years, p < 0.0001). Smear microscopy grading of sputum specimens was not substantially different between sexes. The prevalence survey analysis indicated that the use of a more sensitive diagnostic tool could result in the proportion of females diagnosed at township health centres increasing to 36 % from 30 %.

Conclusions

Our study, which is the first to systematically compile and analyse routine operational data from tuberculosis diagnostic centres in Myanmar, found that substantially fewer women than men were diagnosed in all study townships. The sex ratio of newly diagnosed cases varied by age group, month of diagnosis and township of diagnosis. Low sensitivity of tuberculosis diagnosis may lead to a potential under-diagnosis of tuberculosis among women.

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Background

After decades of isolation from the rest of the world, international development aid is pouring into Myanmar and information about the country’s health and development indicators is becoming accessible [1, 2]. Estimates of the burden of infectious diseases are concerning. The 2010 National Tuberculosis (TB) prevalence survey found that the bacteriologically confirmed tuberculosis prevalence rate was 612.8 (502.2–747.6) per 100 000 population (aged 15 years and above), which is among the highest in Asia [3]. Approximately 180,000 new tuberculosis cases and 9,000 new multi-drug resistant tuberculosis (MDR-TB) cases occur each year [4, 5]. Myanmar is also experiencing one of the most severe HIV/AIDS epidemics in Asia and there are approximately 20,000 new cases of TB/HIV co-infection every year [4].

The World Health Organization (WHO) global strategy to control tuberculosis, referred to as DOTS, is based largely on passive case detection by means of smear microscopy on sputum specimens obtained from symptomatic individuals presenting at DOTS affiliated health centres [6]. This case finding approach is used in the majority of resource-constrained countries, including Myanmar, because active case finding (outside of health centres), and use of more sensitive diagnostic tools, is too expensive to implement on a large scale. It is widely recognised, however, that tuberculosis cases are missed or diagnosed late when patients do not seek health care proactively or seek care at health facilities that do not report tuberculosis diagnoses through the DOTS system, such as most private clinics [7]. tuberculosis cases also go undiagnosed because of the low sensitivity of smear microscopy in detecting bacteria in sputum; a systematic review indicates that sensitivity of smear microscopy ranges from 0.32 to 0.94 [8]. There is an urgent need to understand better factors that increase the risk of delayed or missed tuberculosis diagnoses, especially in settings where substantial financial resources are being invested for tuberculosis control, and accordingly identify programmatic changes to address the barriers.

A large population group that may be selectively under-diagnosed with tuberculosis is women [9, 10]. Globally, there are more tuberculosis cases notified in men than women through the DOTS system [11]. There are four broad explanations for the observed sex differences in global tuberculosis notifications, with ongoing debate and inconclusive evidence about which factors are driving the sex difference [12, 13]:

  1. 1.

    Variations in levels of exposure to tuberculosis [10, 14, 15];

  2. 2.

    Differences in susceptibility to developing disease post exposure due to immunological and physiological factors [16–20];

  3. 3.

    Discrepancies in access to (DOTS) health centres for diagnosis and treatment [21–26];

  4. 4.

    Differences in the probability of being correctly diagnosed at (DOTS) health centres (women with tuberculosis have different symptoms to men, are referred for sputum testing less frequently or are less likely to be diagnosed by smear-microscopy because they have paucibacillary disease or give poor quality specimens) [27, 28].

The first two explanations point towards a potentially true difference in the incidence of disease between men and women, whereas the second two support the notion that the observed sex difference is likely due to more missed diagnoses of tuberculosis in women.

In South East Asia, only 40 % of tuberculosis diagnoses are from women [11]. Good quality data from Myanmar is limited owing to a lack of infrastructure (computers, regular electricity supply) and human resources for routine standardised data collection and management. The most recent estimates, from 2012, indicate that only 34 % of tuberculosis diagnoses in patients aged over 15 are from women [11]. While operational data from tuberculosis diagnostic centres has never been collated and analysed to identify groups that may be under-diagnosed, a countrywide prevalence survey was conducted in 2009–2010 [3]. The prevalence survey was administered through door-to-door screening for symptoms of tuberculosis, and sputum specimens from symptomatic patients were tested using both smear-microscopy and culture (which is more sensitive in diagnosing tuberculosis). Analysis of sex differences in operational data from tuberculosis diagnostic centres, and comparing this with sex differences identified in the prevalence survey, may provide important insights into programmatic/health system barriers (some of which could targeted for improvement) driving lower tuberculosis case finding among women in Myanmar.

In this study, we systematically collated operational data on new tuberculosis diagnosis (in Yangon, Myanmar) into a single electronic database, and investigated sex differences in tuberculosis notifications by comparing data from tuberculosis diagnostic centres and the prevalence survey.

Methods

Study setting

Yangon Division in Myanmar, the country’s main urban centre, has a population of 7.4 million people with a female to male ratio of 1.08 [29]. Yangon is divided into 44 townships each with its own township health centre, most of which have a designated tuberculosis diagnostic and treatment unit. Tuberculosis laboratory and treatment registers, with new case notification information, are maintained at township health departments and the Union Tuberculosis Institute where presumptive tuberculosis cases are occasionally referred to from townships health centres for diagnosis. For sake of reference, when discussing data from the Union Tuberculosis Institute and township health departments, they will be collectively referred to as THDs.

Our study was conducted in ten townships across Yangon, in which the NTP was receiving programmatic support from the USAID-funded Control and Prevention-Tuberculosis Project, which is led by an international NGO, Family Health International 360 (FHI 360). The townships were: Hlaing, Hlaing Thar Yar, Insein, Mayangone, Mingalardon, North Dagon, North Okkalapa, Shwe Pyi Thar, South Okkalapa and Thingangyun (Fig. 1).

Fig. 1
figure 1

Map of Yangon showing study townships

Full size image

Participants and data collection

Notification information for newly diagnosed tuberculosis patients is recorded in paper registers (laboratory and treatment registers) at the Union Tuberculosis Institute or the townships health centres. As no electronic records currently exist, and there is no single paper register containing comprehensive information on newly diagnosed tuberculosis patients, we compiled the data from the tuberculosis registers and patient treatment cards to create a single electronic database of all adult tuberculosis patients diagnosed over a six-month period, from October 2014 to March 2015.

We included all patients aged over 18 years with laboratory confirmed smear-positive pulmonary tuberculosis in the study. Our exclusion criteria were: missing information on age or gender; age under 18 years; extra-pulmonary or smear-negative tuberculosis; culture or GeneXpert confirmed drug resistant tuberculosis. Smear-microscopy was conducted at the Union Tuberculosis Institute and township health centre laboratories and bacterial load was graded according to standard guidelines as: scanty, 1+, 2+, or 3 + [30].

Ethical clearance was gained from LSHTM Research Ethics Committee, the FHI 360 Protection of Human Subjects Committee and locally, through the Myanmar Ministry of Health.

Data analysis

De-identified patient level data was transferred from Excel to Stata version 11 (StataCorp, 2009) for analysis. We conducted a descriptive cross-sectional analysis of sex differences in new tuberculosis diagnoses at the THDs. We calculated the proportion of females among total smear-positive cases diagnosed in different age groups, townships and smear microscopy grading categories, along with the 95 % confidence intervals for each proportion. Proportions were compared using the z-test.

We also analysed published data from the 2009–2010 national tuberculosis prevalence survey, which included 51,367 adults from 70 clusters across the country; after screening through a chest x-ray and face-to-face interview about symptoms, sputum specimens from participant with signs of tuberculosis were tested using sputum microscopy and culture [3]. The prevalence survey identified 123 smear-positive cases and 188 culture-positive cases. We calculated the proportion of females among patients diagnosed using smear microscopy, and among patients using culture when smear microscopy was negative. We then calculated the number of additional cases detected from the use of sputum culture in men and women, and expressed this as a proportion of the cases found through smear microscopy alone. Finally, we made a simple projection of the number of additional cases that would be diagnosed in our study townships if culture was used on all symptomatic patients who are negative on smear microscopy, assuming the same additional case finding yield as occurred in the prevalence survey.

Results

During the study period, 1390 new smear-positive pulmonary tuberculosis patients were diagnosed at the ten study THDs. Of these, 19 patients were excluded owing to missing information about age and sex. Complete information was available for 1371 patients (99 %), and these were included in the analysis.

Overall, 415 (30 %, 95 % CI = 28–33) of patients diagnosed at THDs were females (Table 1). Males outnumbered females in all ten townships; however, there was evidence of variation across townships, with the proportion of female patients ranging from 21 % to 37 % (p = 0.0172). There was also strong evidence of variation by month of diagnosis, with female patients comprising 37 % of diagnoses in February 2015 and 23 % in March 2015 (p = 0.0004).

Table 1 Sex differences in TB notification data from ten townships in Yangon
Full size table

The analysis of sex differences across different age groups indicated that the proportion of females diagnosed in the youngest and oldest age groups was higher than in middle (25 to 64 years) age groups. The proportion of females among patients aged between 25 and 64 was 26 % as compared to 49 % among patients aged between 18 and 24 (p < 0.0001) and 42 % among patients aged over 64 years (p < 0.0001). Smear microscopy grading of sputum specimens was not substantially different between male and female smear-positive tuberculosis patients.

Analysis of sex differences in the prevalence survey data, presented in Table 2, indicated that culture detected a substantial number of cases that were not diagnosed using smear microscopy, and that there was a relatively greater increase in case detection in women than men (200 % additional case finding yield in women and 134 % in men). Since the overall number of cases detected in the prevalence survey was small, however, there was only weak evidence to suggest that use of a more sensitive diagnostic tool, culture, resulted in a higher proportion of females diagnosed than use of smear microscopy only (37 % versus 28 %, p = 0.11).

Table 2 Sex segregated analysis of additional case finding through the use of culture on sputum that was negative on smear microscopy during the prevalence survey and projection of additional case finding at THDs through use of culture
Full size table

Discussion

Our study of tuberculosis diagnosis in ten townships in Yangon, the first to systematically compile and analyse routine operational data from tuberculosis diagnostic centres in Myanmar, found that the number of women diagnosed at township health centres is much lower than the number of men. Women represented only 30 % of smear-positive cases diagnosed, which is lower than the average of 40 % (all new tuberculosis diagnoses) across South East Asia [11].

While fewer women than men were diagnosed in all townships, there was substantial variation in the proportion of females comprising total diagnoses at individual THDs. This may indicate that gender-related differences in access to THDs or being diagnosed at THD may be operating. The influence of diagnostic centre characteristics, such as opening hours, accessibility on foot, and size of facility has been found in other settings to influence relative numbers of men and women with tuberculosis symptoms using the centres [31]. Healthcare quality - specifically health worker adherence to testing protocols for patients reporting tuberculosis-related symptoms, and any biases in referring of patients for sputum testing - could influence sex differences in diagnosis at individual THDs. At least three studies have now found that women who present with the same symptoms as men at health centres are less likely to be tested for tuberculosis and these studies speculate that health workers may hold strong stereotypical views about the ‘typical’ tuberculosis patient being male rather than female [9, 28, 32].

We identified a sharp decrease in the proportion of females among total diagnoses in the 25 to 64 age groups, as compared to the 18 to 24 and over 65 age groups. A study in Bangladesh found a similar decrease in the relative number of diagnoses from women aged 18 to 25 as compared to women aged 25 to 64, but did not find that the oldest (over 65) age group had a relatively higher number of diagnoses from women, as we did. In contrast to our findings, other studies have found that older age is associated with greater barriers to diagnosis in women [21, 26]. Overall, evidence about interplays between age and gender dynamics in tuberculosis healthcare seeking and diagnosis is limited, with differences in stigma, healthcare seeking behaviour and household responsibilities in diverse contexts likely to play an important role. Some studies have found that tuberculosis stigma has greater socio-economic consequences for women, and particularly affects care-seeking decisions of young women who are close to marriageable age or recently married [33, 34]. There are few studies exploring stigma and barriers to accessing tuberculosis care in Myanmar. We found only one study focusing on male factory workers in Yangon, which found that stigma and fears related to tuberculosis were common [35]. Data from neighbouring Bangladesh indicates that female tuberculosis patients delay seeking care and self-medicate more often than men [36]; barriers influencing women’s decisions to visit health facilities include the need for a male to accompany them, time constraints and responsibilities for household chores [33, 36, 37].

Another factor that may be contributing to higher notifications from women aged 18 to 24 is potentially higher HIV prevalence amongst this group. Age and gender patterns of tuberculosis are influenced by the HIV epidemic in other countries, such as South Africa [38]. Overall 8.5 % of new tuberculosis patients are HIV sero-positive in Myanmar, but information about age and sex differences in TB-HIV co-infection is not available [39]. Studies of female sex workers in Myanmar have indicated higher HIV prevalence in younger women [40]; HIV-TB co-infection in Myanmar, and its impact on the tuberculosis epidemic, requires further investigation.

Reasons for the observed sex differences by month of diagnosis are not clear. Since the study was conducted in an urban setting, Yangon, we are not aware of any agricultural activities that could influence healthcare seeking behaviour. There is a marked rainy season between May and October which may, we can hypothesise, impact upon health centre functioning or access to services. Analysis of operational data from other countries identified similar variations across the year, and the authors speculated changes in the weather, school holidays or national holidays affecting healthcare opening may play a role [41].

We explored whether there was evidence of female tuberculosis patients in Yangon having a lower bacterial load in their sputum; this has been found in other settings, and offered as an explanation for lower case finding in women when smear microscopy is used as the primary diagnostic tool [42, 43]. We found no sex difference in the bacterial load of sputum submitted for testing at our study THDs [43, 44]. However, our analysis of sex differences in the prevalence survey data did indicate that smear microscopy may be missing a relatively higher proportion of cases in women than men, as indicated by the (sex segregated) additional case finding by using culture on smear-negative sputum.

Our simple projection of additional case finding at the THDs from the use of culture on sputum from symptomatic patients testing negative on sputum smear microscopy, extrapolated from our analysis of the prevalence survey data, indicated that 1245 (200 %) more cases would be detected in women and 2238 (134 %) in men. This would result in women representing 36 % of smear-positive cases diagnosed instead of 30 %.

While use of culture or other more sensitive diagnostic tools such as Xpert MTB/RIF instead of smear microscopy could lead to a substantial increase in tuberculosis diagnoses [45], the cost and infrastructure requirement makes widespread use very challenging, and evidence on the operational effectiveness and cost-effectiveness in low-resource setting is limited. Owing to the high prevalence of MDR-TB in Yangon, the NTP has started testing all presumptive tuberculosis patients in Yangon using Xpert MTB/RIF. Analysis of operational data from the wider use of a more sensitive diagnostic tool, the Xpert MTB/RIF test, will be useful in demonstrating whether there is a sex difference in case finding when sensitivity of the diagnostic tool is altered. Our initial evidence from Myanmar, which has a particularly low case detection of tuberculosis in women, indicates that more sensitive diagnostic tools may benefit female tuberculosis patients differentially. There is already strong evidence that improving the quality of instructions provided to patients at health facilities can have a differential impact on improving case finding in women [27]. Further operational studies to assess the sex specific incremental case finding yield and cost-effectiveness of alternative diagnostic algorithms are needed to inform programmatic strategy decisions. These studies will be particularly useful in settings such as Myanmar where there is markedly low case detection in women, and substantial funding being allocated to improve tuberculosis control.

The key strength of our study is that we had a well-trained team to collect data comprehensively from all available paper records in a number of locations in order to produce an electronic database on new tuberculosis diagnoses in our ten study townships. Since maintenance of paper registers was erratic, this data compilation was a substantial undertaking. A limitation of the study is that we did not have the resources available to explore and collate data on the number of males and females attending THDs with respiratory complaints or the number referred for sputum testing; it is not clear whether this data would be available consistently in THDs for collation. Such data would allow a useful investigation of barriers to diagnosis of men and women at different stages of the diagnostic process, and has resulted in important insights about potential missed cases in women in other settings [28, 46].

It is also important to consider that our study, and most other studies on sex differences in tuberculosis diagnoses, only includes data from public sector health facilities. In Myanmar, it is estimated that over 70 % of tuberculosis patients first seek care at private healthcare providers; to understand sex differences fully it is essential to investigate tuberculosis diagnosis and management in the private sector [47].

Conclusions

This paper presents the first analysis of sex differences in tuberculosis diagnoses in Myanmar, where only 34 % of nationally reported cases are from women. Our initial evidence suggests that socio-demographic and health service-related factors may be influencing sex differences in tuberculosis notifications. Specifically, our analysis indicates that low sensitivity of tuberculosis diagnosis at health centres may lead to a potential under-diagnosis of tuberculosis among women. Improving the sensitivity of tuberculosis diagnosis at health centres could therefore be investigated as a programmatic area that may reduce sex differences in tuberculosis diagnoses in Myanmar.

References

  1. Risso-Gill I, McKee M, Coker R, Piot P, Legido-Quigley H. Health system strengthening in Myanmar during political reforms: perspectives from international agencies. Health Policy Plan. 2014;29:466–74.

    Article  PubMed  Google Scholar 

  2. Morrison J, Cullison T, Hiebert M, Summers T. Rehabilitating Health in the Myanmar Transition. “This Is the Time We Have Been Dreaming of for Decades.” A Report of the CSIS Global Health Policy Center. Centre for Strategic and International Studies; 2013.

  3. MOH. National Tuberculosis Prevalence Survey 2009–2010, Myanmar. The Republic of the Union of Myanmar: National Tuberculosis Programme, Department of Health, Ministry of Health; 2010

  4. WHO. Tuberculosis in Myanmar: progress, plans, and challenges. Yangon: The Republic of the Union of Myanmar: World Health Organisation; 2012.

    Google Scholar 

  5. WHO. Multidrug-resistant tuberculosis in Myanmar progress, plans and challenges. Yangon: The Republic of the Union of Myanmar: World Health Organisation, South-East Asia Region Office; 2012.

    Google Scholar 

  6. WHO. \iPursue High-Quality DOTS Expansion and Enhancement. World Health Organisation; 2015. http://www.who.int/tb/dots/en/ Accessed 4 September 2015.

  7. Lorent N, Choun K, Thai S, Kim T, Huy S, Pe R, et al. Community-based active tuberculosis case finding in poor urban settlements of Phnom Penh, Cambodia: a feasible and effective strategy. PLoS One. 2014;9:e92754.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Steingart KR, Henry M, Ng V, Hopewell PC, Ramsay A, Cunningham J, et al. Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review. Lancet Infect Dis. 2006;6:570–81.

    Article  PubMed  Google Scholar 

  9. Miller CR, Davis JL, Katamba A, Sserwanga A, Kakeeto S, Kizito F, et al. Sex disparities in tuberculosis suspect evaluation: a cross-sectional analysis in rural Uganda. Int J Tuberc Lung Dis. 2013;17:480–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Hudelson P. Gender differentials in tuberculosis: the role of socio-economic and cultural factors. Tuber Lung Dis. 1996;77:391–400.

    Article  CAS  PubMed  Google Scholar 

  11. WHO. Global tuberculosis report 2014. Geneva: World Health Organization; 2014.

    Google Scholar 

  12. Khan MS, Hasan R, Godfrey-Faussett P. Unusual sex differences in tuberculosis notifications across Pakistan and the role of environmental factors. East Mediterr Health J. 2013;19:821–5.

    CAS  PubMed  Google Scholar 

  13. Neyrolles O, Quintana-Murci L. Sexual inequality in tuberculosis. PLoS Med. 2009;6:e1000199.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Allotey P, Gyapong M. Gender in tuberculosis research. Int J Tuberc Lung Dis. 2008;12:831–6.

    CAS  PubMed  Google Scholar 

  15. Holmes CB, Hausler H, Nunn P. A review of sex differences in the epidemiology of tuberculosis. Int J Tuberc Lung Dis. 1998;2:96–104.

    CAS  PubMed  Google Scholar 

  16. Dolin P. Tuberculosis epidemiology from a gender perspective. In Gender and tuberculosis: an international research workshop: report from the workshop at the Nordic School of Public Health, Göteborg; 1998:3.

  17. Radhakrishna S, Frieden TR, Subramani R. Association of initial tuberculin sensitivity, age and sex with the incidence of tuberculosis in south India: a 15-year follow-up. Int J Tuberc Lung Dis. 2003;7:1083–91.

    CAS  PubMed  Google Scholar 

  18. Salim H, Declercq E, Van Deun A, Saki KAR. Gender differences in tuberculosis: a prevalence survey done in Bangladesh. Int J Tuberc Lung Dis. 2004;8:952–7.

    Google Scholar 

  19. Borgdorff MW, Nagelkerke NJD, Dye C, Nunn P. Gender and tuberculosis: a comparison of prevalence surveys with notification data to explore sex differences in case detection. Int J Tuberc Lung Dis. 2000;4:123–32.

    CAS  PubMed  Google Scholar 

  20. Rhines AS. The role of sex differences in the prevalence and transmission of tuberculosis. Tuberculosis. 2013;93:104–7.

    Article  PubMed  Google Scholar 

  21. Cassels A, Hieneman E, LeClerq S, Gurung PK, Rahut CB. Tuberculosis case-finding in Eastern Nepal. Tubercle. 1982;63:175–85.

    Article  CAS  PubMed  Google Scholar 

  22. Needham DM, Foster SD, Tomlinson G, Godfrey-Faussett P. Socio-economic, gender and health services factors affecting diagnostic delay for tuberculosis patients in urban Zambia. Trop Med Int Health. 2001;6:256–9.

    Article  CAS  PubMed  Google Scholar 

  23. Atre S, Kudale A, Morankar S, Gosoniu D, Weiss MG. Gender and community views of stigma and tuberculosis in rural Maharashtra, India. Glob Public Health. 2011;6:56–71.

    Article  CAS  PubMed  Google Scholar 

  24. Khan KB. Understanding the gender aspects of tuberculosis: a narrative analysis of the lived experiences of women with tuberculosis in slums of Delhi, India. Health Care Women Int. 2012;33:3–18.

    Article  PubMed  Google Scholar 

  25. Karim F, Johansson E, Diwan VK, Kulane A. Community perceptions of tuberculosis: A qualitative exploration from a gender perspective. Public Health. 2011;125:84–9.

    Article  CAS  PubMed  Google Scholar 

  26. Karim F, Islam MA, Chowdhury A, Johansson E, Diwan VK. Gender differences in delays in diagnosis and treatment of tuberculosis. Health Policy Plan. 2007;22:329–34.

    Article  PubMed  Google Scholar 

  27. Khan MS, Dar O, Sismanidis C, Shah K, Godfrey-Faussett P. Improvement of tuberculosis case detection and reduction of discrepancies between men and women by simple sputum-submission instructions: a pragmatic randomised controlled trial. Lancet. 2007;369:1955–60.

    Article  PubMed  Google Scholar 

  28. Begum V, de Colombani P, Das Gupta S, Salim AH, Hussain H, Pietroni M, et al. Tuberculosis and patient gender in Bangladesh: sex differences in diagnosis and treatment outcome. Int J Tuberc Lung Dis. 2001;5:604–10.

    CAS  PubMed  Google Scholar 

  29. DOP. The Population and Housing Census of Myanmar, 2014: Summary of the Provisional Results. The Republic of the Union of Myanmar: Department of Population, Ministry of Immigration and Population; 2014

  30. IUTALD. Technical Guide: Sputum Examination for Tuberculosis by Direct Microscopy in Low-Income Countries. Paris: International Union Against Tuberculosis and Lung Disease; 2000.

    Google Scholar 

  31. Khan MS, Khan MS, Sismanidis C, Godfrey-Faussett P. Factors influencing sex differences in numbers of tuberculosis suspects at diagnostic centres in Pakistan. Int J Tuberc Lung Dis. 2012;16:172–7.

    Article  CAS  PubMed  Google Scholar 

  32. Smith A, Davis J, Claassens M, Ayles H, Godfrey-Fausset P, Beyers N. Health care workers’ gender bias in testing could contribute to missed tuberculosis cases in South Africa. Int J Tuberc Lung Dis 2015; [In press].

  33. Eastwood SV, Hill PC. A gender-focused qualitative study of barriers to accessing tuberculosis treatment in The Gambia, West Africa. Int J Tuberc Lung Dis. 2004;8:70–5.

    CAS  PubMed  Google Scholar 

  34. Courtwright A, Turner AN. Tuberculosis and stigmatization: pathways and interventions. Public Health Rep. 2010;125 Suppl 4:34.

    PubMed  PubMed Central  Google Scholar 

  35. Thu A, Ohnmar X, Win H, Nyunt M-T, Lwin T. Knowledge, attitudes and practice concerning tuberculosis in a growing industrialised area in Myanmar. Int J Tuberc Lung Dis Off J Int Union Tuberc Lung Dis. 2012;16:330–5.

    Article  CAS  Google Scholar 

  36. Weiss MG, Somma D, Karim F, Abouihia A, Auer C, Kemp J, et al. Cultural epidemiology of tuberculosis with reference to gender in Bangladesh, India and Malawi. Int J Tuberc Lung Dis. 2008;12:837–47.

    CAS  PubMed  Google Scholar 

  37. Johansson E, Long NH, Diwan VK, Winkvist A. Gender and tuberculosis control: perspectives on health seeking behaviour among men and women in Vietnam. Health Policy. 2000;52:33–51.

    Article  CAS  PubMed  Google Scholar 

  38. McLaren ZM, Brouwer E, Ederer D, Fischer K, Branson N. Gender patterns of tuberculosis testing and disease in South Africa. Int J Tuberc Lung Dis. 2015;19:104–10.

    Article  CAS  PubMed  Google Scholar 

  39. NAP. Myanmar - Global AIDS Response Progress Report, 2015. Myanmar: National AIDS Programme, Ministry of Health; 2015.

    Google Scholar 

  40. Swe LA, Rashid A. HIV prevalence among the female sex workers in major cities in Myanmar and the risk behaviors associated with it. HIVAIDS Auckl NZ. 2013;5:223–30.

    Google Scholar 

  41. Mabaera B, Naranbat N, Katamba A, Laticevschi D, Lauritsen JM, Rieder HL. Seasonal variation among tuberculosis suspects in four countries. Int Health. 2009;1:53–60.

    Article  PubMed  Google Scholar 

  42. Kivihya-Ndugga LEA, van Cleeff MRA, Ng’ang’a LW, Meme H, Odhiambo JA, Klatser PR. Sex-specific performance of routine tuberculosis diagnostic tests. Int J Tuberc Lung Dis. 2005;9:294–300.

    CAS  PubMed  Google Scholar 

  43. Chinnakali P, Selvaraj K, Thekkur P, Ramasamy G, Thulasingam M, Vasudevan K. Age and Sex differences in sputum smear microscopy results for acid fast bacilli in a tertiary care centre, south India. J Respir Med. 2014;2014:e674942.

    Article  Google Scholar 

  44. van Cleeff M, Kivihya-Ndugga L, Meme H, Odhiambo J, Klatser P. The role and performance of chest X-ray for the diagnosis of tuberculosis: A cost-effectiveness analysis in Nairobi. Kenya BMC Infect Dis. 2005;5:111.

    Article  PubMed  Google Scholar 

  45. Steingart KR, Schiller I, Horne DJ, Pai M, Boehme CC, Dendukuri N. Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults. Cochrane Database Syst Rev. 2014;1:CD009593.

    PubMed  Google Scholar 

  46. Huong NT, Duong BD, Linh NN, Van LN, Co NV, Broekmans JF, et al. Evaluation of sputum smear microscopy in the National Tuberculosis Control Programme in the north of Vietnam. Int J Tuberc Lung Dis. 2006;10:277–82.

    CAS  PubMed  Google Scholar 

  47. Saw S, Manderson L, Bandyopadhyay M, Sein T, Mon M, Maung W. Public and/or private health care: Tuberculosis patients’ perspectives in Myanmar. Health Res Policy Syst. 2009;7:19.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This study was funded through a grant from the United States Agency for International Development’s Control and Prevention – Tuberculosis Project. We gratefully acknowledge the support of FHI 360, the participating health facilities in Yangon and the Myanmar National TB Control Programme.

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Authors and Affiliations

  1. Communicable Diseases Policy Research Group, London School of Hygiene and Tropical Medicine, Satharanauskwisit Building, 420/1 Rajwithi Road, Bangkok, 10400, Thailand

    MS. Khan, C. Hutchison & RJ. Coker

  2. Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore

    MS. Khan

  3. National Tuberculosis Programme, Yangon, Myanmar

    TM. Khine & S. Aung

  4. Faculty of Public Health, Mahidol University, Bangkok, Thailand

    RJ. Coker

  5. Family Health International Myanmar Office, Yangon, Myanmar

    KM. Hane

  6. Family Health International Asia Pacific Regional Office, Bangkok, Thailand

    AL. Innes

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Correspondence to MS. Khan.

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There are no competing interests to declare.

Authors’ contributions

MK conceived of the study; MK, TMK, CH, RJC, ALI, SA made substantial contributions to the design of the study; MK, CH, KMH managed acquisition and analysis of the data. All authors have been involved in drafting the manuscript or revising it critically for important intellectual content and have given final approval of the version to be published.

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Khan, M., Khine, T., Hutchison, C. et al. Are current case-finding methods under-diagnosing tuberculosis among women in Myanmar? An analysis of operational data from Yangon and the nationwide prevalence survey. BMC Infect Dis 16, 110 (2016). https://doi.org/10.1186/s12879-016-1429-y

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  • DOI: https://doi.org/10.1186/s12879-016-1429-y

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BMC Infectious Diseases

ISSN: 1471-2334

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