Recent Epidemiologic Situations of TB in Myanmar -Preliminary Review of Data from routine TB surveillance focusing on Case Finding- 9 May 2014, Nay Pyi Taw Norio Yamada, RIT/JATA JICA MIDCP

Today’s presentation All information from NTP – Please don’t expect new things from the presentation Not formal presentation of confirmed results. Showing some way of looking at data – The results are preliminary. I may be wrong. This can be a practice for Epi Review for NTP review in December. Focusing on change in case finding because the prevalence survey results indicate needs of improving CF.

Limitation of Surveillance Data : The Onion Model All TB cases Undiagnosed cases Diagnosed but not notified cases Notified cases Recorded in notification data Diagnosed by NTP or collaborating providers Diagnosed by public or private providers, but not notified Access to health facilities, but don't go No access to health care Presenting to health facilities, but undiagnosed We may be able to see only some part of real TB problems from TB surveillance. Interpretation should be carefully done: -Either improvement of NTP or real increase in TB lead to increase in TB notifications. -Either decrease in efforts or real decrease in TB lead to decrease in TB notifications. (WHO)

Another limitation: Pop data Current population data may not be accurate. Pop movement from rural to urban. – Urban population is likely to be underestimated. – Rural population is likely to be underestimated Re-assessment of indicators by area and age group based on pop census 2014 should be made once census data become available.

Long Term Trend of Case Notification and NTP development (NTP + Other Units)

Impact of HIV epidemic on TB trends HIV is strong risk factor for TB. Therefore it is necessary to assess its impact. According to HSS , about 10% of cases may be attributable directly to HIV infection. HIV prevalence by age and sex is helpful for assessing influence of HIV on TB trend. Prediction in future requires trend of HIV prevalence in population.

Proportion of All forms of TB Patients contributed by NTP & Other reporting units (2013) PPM is considered as one of major contributors for increase in case notification through case finding and reporting.

Recently intensified efforts of Case Finding and TB surveillance PPM with partners: guidelines in 2005 Childhood TB diagnosis Case Finding has been intensified based on the findings from the prevalence survey in 2009/2010 Definitions of presumptive TB: – 3week cough-> 2week Contact examination Access to diagnostic service – Physical access: SCC, TB lab at SH, Mobile Team – CBTBC, Drug sellers “Is there any observation in TB surveillance suggesting impact of efforts?”

Childhood and Adult Cases Usually source of infection is adult TB cases Early diagnosis of Adult TB cases  Reduction of TB transmission  Decrease in TB incidence Diagnosis of childhood TB cases is more complicated. Better to see the trend of Childhood TB cases and non-Childhood TB cases separately.

Recent Trend of TB cases of Childhood and non-Childhood (NTP + Other Units) Childhood TB Cases increased. Adult cases are stable compared to childhood cases.

Trend of TB suspects and TB cases of non-childhood (NTP + Partners) Assuming childhood suspects has no smear-examination and no smear positive cases.

Trend of TB suspects and TB cases of non-childhood Proportion of TB cases among suspects has decreased since number of suspects sharply increased. This may indicate coverage of Case Finding has improved. The graph may suggest need of assessing situations of smear-negative case diagnosis for further strengthening Case Finding (early detection).

Category of Regions & States According to Case Detection Rate of NSS(+) ( ) Still a wide Range of Notification Rate and CDR while overall increase. Is it attributable mainly to performance or real difference of TB incidence?

Issues on assessment of Case Finding achievements at Sub-country levels CDR is based on estimates of incidence rate and population data It is difficult to obtain accurate estimates for subnational levels (e.g. state/region, townships) It is necessary to assess not only achievement but efforts of Case Finding. Additional tools might be required to assess situation of Case Finding. There is no single tool of assessing situations of Case Finding. We need to interpret several indicators collectively.

Case Finding efforts and Results Suspect Rate and Smear-Positivity Rate In 2013, there are still variations in both suspect rates and positivity rates. Reasons for variation in positivity rate for similar suspects rate need to be investigated. Areas with low suspect rate and high positivity rate might need to increase CF efforts. Data from presentations of laboratory evaluation meeting 2014 is used.

Gap between Notification and Prevalence Gap tended to be larger among elderly group  Notified cases should once increase among elderly. Geographically States tended to have larger gap.

Trend of New+ by Age Group (NTP + Other Units)

Change in Notified New+ By Age Group (NTP+ Other Units) Larger increase is observed among elderly groups after 2010.

Average Age of New S Years(NTP + Other Units) When TB decrease, average age of TB cases is expected to increase because TB cases from recent infection (young cases) decrease more rapidly than TB from remote infection (elderly cases). Increase in average age is observed. It might be attributable to improvement of CF among elderly groups.

Hot Spot? Prevalence survey indicate high prevalence in urban and remote areas – Urban: probably due to higher incidence – Remote: probably due to low case detection Case Detection by Mobile Team in South Dagon Township, Yangon ( )

Summary Some of observations from the routine data might indicate Case Finding is going in right direction and TB is going down. – The number and proportion of elderly cases increase: This might suggest reduction of gap between prevalence and notification – Average age has started increasing. However we need to investigate variations in case finding situations and TB problems by subgroup of population, such as: – Areas with low suspect rate with high smear positivity rate: unreached area/population – Areas with internal migrants. – Age groups: Clear decline of New+ among young age group has not been observed yet. – HIV impact on some subgroup (age group, sex, areas) Information on situations of smear-negative case diagnosis is limited.

Some of recommendations for further assessment Re-assessing indicators for recent years by using census population of For NTP review 2014 if census data become available in time. Trends of Childhood and Adult TB cases should be separately assessed. Analysis of age group distribution of presumptive TB and non-smear positive cases as well as New S+ cases to understand trends of childhood and adult cases separately. Assessment of suspect rates and smear-positivity rates separately for regular passive case finding and active case finding. Information on situations of smear-negative case diagnosis should be investigated for accelerating early case detection appropriately. Assessing the situations of CF in areas with very high and low smear-positivity rate and with low suspect rates – Assessment of health service delivery system (access to health service) – Delay – Way of identifying TB suspects – Cases found by Mobile team – Efforts should be strengthened until positivity rate goes down below 15%. Analysis of HIV co-infection on TB trend: age group, sex and areas