Tuberc Respir Dis Search


Tuberc Respir Dis > Volume 82(3); 2019 > Article
Kim, Kim, Oh, Oh, and Choi: A Pilot Project of Systematic Tuberculosis Screening in the Elderly in a South Korean Province



Tuberculosis (TB) is a major infectious disease in South Korea causing substantial disease burden, particularly in the elderly. This study aimed to identify the case detection rate of mobile TB screening for the elderly conducted in the Jeollanam-do region and to analyze risk factors of active TB.


We screened the elderly population (≥65 years old) in Jeollanam-do from August to December 2017. Chest radiography was performed for all participants. Participants with TB presumptive signs were asked to submit sputum specimen(s). Sputum smear, culture, and polymerase chain reaction analyses were performed. Cascade analysis, chi-squared tests, and Fisher exact tests were used to evaluate screening performance.


In total, 12,402 participants were screened, and 211 (1.7%) were suspected to have active TB; 181 of the suspected patients (85.8%) underwent sputum smear test, and 16 (8.8%) patients were confirmed to have TB. The TB prevalence among the elderly was bacteriologically confirmed to be 129 per 100,000 individuals, which was similar to national TB notification data for the same age groups. The proportion of active TB cases increased with age, and differed based on sex and past TB history. However, TB-related symptoms, comorbidity status, and TB screening history within 12 months were not predictive of active TB.


This study identified that the prevalence rate was similar to national TB notification data from the same age groups. Periodic, community-based, systematic TB screening among the elderly population is recommended.


Tuberculosis (TB) is the ninth leading cause of death worldwide; it ranked higher than human immunodeficiency virus/acquired immune deficiency syndrome. According to the Global TB Report in 2017, the TB notification rate in 2016 was 6.3 million, but the estimated TB incidence was 10.4 million. Although the incidence and mortality rates have recently started to decrease, it will remain challenging to meet the TB targets by the end of 2030 unless the use of the current screening tools is maximized1. Global efforts have paid less attention to the elderly with TB. Most of the concerns regarding TB among the elderly, including the challenges in detecting and managing TB, have risen in developed countries2. However, considering the rapid aging trends worldwide, it will be challenging to achieve the global TB targets.
In South Korea, among all infectious diseases, TB has the highest prevalence and mortality rates and it causes intermediate disease burden3. According to the Annual Report on Notified TB in Korea in 2017, approximately 42% of all TB patients were aged ≥65 years, of which 82% died owing to TB4. Similar problems have been reported in countries with a low TB incidence, including the United States, Japan, and the United Kingdom, as well as in those with a high TB incidence, including China and India5,6,7,8,9. The proportion of individuals newly infected with TB increased in the elderly population from 2001 to 2010, whereas the proportion of individuals newly infected with TB in other age groups has started to decline10. Additionally, according to the study conducted by Kim and Yim11, when the age group with the highest risk of TB becomes ≥65 years of age in 2020, the overall TB prevalence rate is likely to increase again and TB in the elderly could become an even greater issue in South Korea. Therefore, considering the epidemiological shifts including an increase in the percentage of elderly TB patients in Korea, it is necessary to prioritize the treatment of the elderly in the national TB control strategy. A spatial analysis was conducted to understand the regional differences in TB incidence; consequently, several regions with a high TB incidence in the elderly were identified12. As one of those provinces, the Jeollanam-do (JN) established a 3-year systematic TB screening project directed toward individuals aged ≥65 years, thereby aiming to cover approximately 70% of the target group. Here, we report findings from the first-year pilot project started in 2017. The study aimed to identify the case detection rate of mobile TB screening for the elderly and risk factors of active TB. Additionally, we compared the prevalence of the study with national notification rate of the same age groups.

Materials and Methods

The JN regional government launched a project to systematically screen 70% of the eligible elderly population until 2020. In 2017, as a pilot project, the systematic screening project planned to include 12,500 people from the designated regions. Among the administrative districts in JN, two small cities and 10 towns with a high incidence of TB were selected as the target areas for screening. Among those regions, several townships were designated the regions to be screened in 2017; the other regions were to be screened over the next 3 years. To investigate the elderly population aged ≥65 years, the Korean National Tuberculosis Association (KNTA) collaborated with health centers in JN. TB screening was performed using a mobile examination vehicle, equipped with chest radiograph (X-ray) machines, from August to December 2017. Before the screening, the team educated participants about TB screening and treatment and conducted a structured questionnaire among them. The questionnaire consisted of self-reported questions on: TB-related symptoms including cough and sputum presence and duration; previous X-ray screening history within 12 months; previous TB treatment history; other comorbidities. The project team informed the health center about the participants who displayed presumptive TB signs (i.e., they were presumed to have TB or had undetermined TB activity), or were determined to have active TB on chest radiography, and asked them to visit the health center for sputum collection. The chest radiography was interpreted by double reading (one pair of observers read the films independently) among three radiologists of the JN branch of KNTA as being normal or suspicious of TB, or as having undetermined TB activity, active TB, inactive TB, or as suggestive of other diseases. Subsequently, sputum smear and culture analyses and/or molecular diagnoses were performed. Smear, solid culture, and liquid culture tests were performed for all participants with presumptive TB signs. After the test, no further tests were performed for participants with smear positive results, and Xpert tests were performed for those with negative smear results (97.2% among all cases with presumptive TB signs). Additional polymerase chain reaction tests were performed if negative results were obtained from the Xpert test (96.7% among all cases with presumptive TB signs).
To evaluate the screening performance, first, we conducted cascade analysis as suggested by the World Health Organization13. The number of patients successfully completing treatment is a final indicator in cascade analyses; however, treatment success rates were not reported in this study because this pilot screening project did not involve treatment follow-up for active TB patients. Second, TB prevalence was calculated from the screening project results and compared with previous surveillance data for the same age groups. For the comparison between the national notification rates and the prevalence within the project, we reanalyzed previous reports that used TB notification data in 2009 and 2014. These are cohort data and include patients at least 65 years of age, in whom active TB was bacteriologically confirmed as new drug-susceptible TB in 2009 and 201414. This second analysis aimed to examine the demographic and clinical characteristics of the participants and verify whether there was a difference in TB prevalence based on these characteristics. Additionally, we compared the project outcomes with those of a previously conducted active case finding project (data not published) in the same region from 2014 to 2017. The JN branch of KNTA annually conducts systematic TB screening among vulnerable populations including the elderly, people living in long-term care facilities, and immigrants. The concept of the number needed to screen (NNS) was used to compare outcomes among the projects. We conducted chi-squared tests to determine the association between each characteristic and the detection of presumptive or active TB cases. If the sample size was too small (less than five) in a cell, Fisher's exact tests were used to test for associations instead. Stata 15 SE (developed by StataCorp., released by 2017 November 6) version was used for all statistical analyses. This study was reviewed by institutional review board at Korean National Tuberculosis Association (2018-KNTA-IRB-005) and informed consent was waived by institutional review board.


1. Screening project results

In the JN region, 12,508 people were screened; however, for 102 participants X-ray screening was not conducted as a result of their immobility or refusal to undergo screening. Thus, in total, 12,402 individuals were included in the analysis. This was equivalent to 6.3% of the total population in 12 designated small cities and towns (n=199,220). Of the people screened for TB, 211 (1.7%) were identified with presumptive TB signs via chest X-ray scans and were therefore asked to undergo a sputum test. Among them, of the 181 participants (85.8%) who agreed to undergo a sputum test, 16 (8.8%) were diagnosed with active TB. Of those with active TB, five (31.3%) were both smear- and culture-positive, nine (56.2%) were smear-negative but culture-positive, and two (12.5%) only tested positive using molecular tests (Figure 1). Therefore, the TB prevalence in the elderly, which was bacteriologically confirmed in the JN area through this pilot screening project, was 129 per 100,000 (95% confidence interval, 79-209). The NNS in order to find an active TB case was 775 individuals.

2. Demographic and clinical characteristics

As shown in Table 1, a significant difference in the proportion of suspected TB cases among various age groups was noted, indicating an increasing trend with age (p<0.001). A similar trend was also noted among active TB cases; the proportion of elderly individuals aged >85 years diagnosed with TB was 0.48%, which was 12 times greater than that of individuals aged 65-69 years (p=0.039).
TB-related symptoms and TB screening history within 12 months were not associated with active TB diagnosis. Although a higher number of individuals displaying TB-related symptoms were identified as active TB patients than those without TB symptoms, the difference was not statistically significant (p=0.196) (Table 1). Additionally, there was no association between TB case detection and prior screening for TB within the last 12 months.
Additionally, the data in Table 1 reveals that the proportion of males with active TB was significantly higher than that of females, and individuals with a history of TB were significantly more likely to have presumptive TB or confirmed, active TB. Interestingly, comorbidities were not significant predictors of the detection of active TB cases.

3. Comparison with previous reports

We compared the project outcomes with the national TB notification data among the same age groups. The prevalence rate in this study was 129 per 100,000, which was slightly higher than the previously reported notification rates among bacteriologically confirmed, elderly cases which were 105.5 per 100,000 and 117.7 per 100,000 in 2009 and 2014, respectively (Table 2). However, this difference did not significantly differ. In an additional comparison between the project outcomes and other screening efforts among other vulnerable groups in JN, we found that our pilot project yielded a higher case detection rate and required a lower NNS (Table 3).


To our knowledge, this is the first complete enumeration of TB only among the elderly as part of a community-based project in South Korea. In this project, we examined 12,402 patients and identified 16 patients with TB. TB prevalence in the elderly aged ≥65 years in the JN region was 129 per 100,000. Our findings were consistent with those from a previous report that used the TB reporting data from the Korea Centers for Disease Control and Prevention, and found that the notification rates for new drug-susceptible TB cases among the elderly aged ≥65 years in 2009 and 2014 were approximately 106 and 118 per 100,000, respectively (Table 2)14. Hence, the prevalence rates in our pilot project did not differ from those reported nationally, although the pilot project detected a lower number of TB cases. Moreover, this project demonstrated the screening efficiency. Sixteen patients were identified as having TB in this project; the NNS for detecting an active TB case was 775. Compared with this outcome, in a recent TB screening program conducted in the JN area from 2014 to 2017, which targeted vulnerable populations and did not specifically focus on the elderly, the NNS was 1,365, 1,116, 3,484, and 1,621 for each year, respectively (Table 3)15. Therefore, TB screening is more likely to be effective for the elderly population than for vulnerable populations including the elderly, those in long-term care facilities, and immigrants.
The risk of active TB could not be predicted based on the history of TB screening performed within the last 12 months, TB-related symptoms, and other comorbidities. Our results highlight the necessity to perform annual systematic screening among the elderly in intermediate- or low-TB burden countries. A model-based study in high-TB burden settings identified the cost-effectiveness of “the periodic active case finding”16. Our study outcomes support the benefit of TB-specific screening to identify active TB cases regardless of recent X-ray screening history (within 12 months). Our results assured that duplicated X-ray screening within a year was not a waste of resources among the elderly. Additionally, annual X-ray screening for active case finding may detect newly progressed active TB cases earlier than passive case finding strategies among elderly populations.
In our study, the sputum collection rate was 85.8% (n=181) among cases with presumptive TB signs on chest X-rays. Most baseline characteristics did not significantly differ between cases who provided sputum, with the exception of those who did not provide sputum (11.1% vs. 26.7%). We could not conclude if the sputum collection rate in our study was acceptable, because previous studies also reported a wide range of sputum collection rates17,18,19. However, innovative tools to include all cases with presumptive TB symptoms should be incorporated into diagnostic evaluations to ensure that no active TB cases are missed.
This study was subject to several limitations. First, there were unmeasured variables such as: participants' socioeconomic status including educational levels, occupation, and household incomes; marital status such as living alone or living with other family members; accessibility of nearby health facilities. Second, final treatment outcomes were not measured in the current study, although cascade analysis is typically used to follow patients until they have final treatment outcomes. Since this study was conducted over the first year of the pilot project, we were unable to report on final treatment outcomes. After the completion of the 4-year project, the investigators plan to report on the final treatment outcomes. Despite this limitation, it is also important to report the case detection rates as one of outcome measures for active case finding interventions.
Mobile screening is an older recommendation in TB management policies; it was not previously recommended by the World Health Organization due to the low yield and relatively high cost associated with case detection20. However, the global policy was modified in the End TB Strategy suggesting that active case finding should be prioritized among high-risk groups21. In the Korean context, the elderly had the highest burden of TB and mortality among all TB cases. Therefore, systematic screening regardless of their TB-related symptoms should be highlighted to prevent additional transmission and to generate favorable treatment outcomes through early case detection. To achieve these results, we identified that several challenges were eliminated in the field. These challenges included duplicate X-ray screening conducted within a year and difficulty mobilizing the elderly participants in the community setting. Our pilot project showed that such challenges could be mitigated and thus they may support the necessity of systematic screening in programmatic settings. Moreover, we expect that early detection of cases without TB-related symptoms and other comorbidities is likely to decrease TB-associated mortality in the elderly. A review involving systematic screening reported the detection of less severe TB cases; however, treatment outcomes remained unchanged from those cases detected using passive case detection22. However, if the scope of systematic screening is limited to the elderly population, an improvement in treatment outcomes might be achieved because delayed diagnosis may cause more harm to older than younger patients23. Therefore, future studies should focus on improving treatment outcomes among the elderly in systematic screening projects.
This study identified that community-based systematic TB screening among the elderly population was recommendable; the prevalence rate did not differ from that previously reported by national TB notification data among the same age groups. Considering the burden of TB among the elderly population, early detection of TB should be prioritized as one of the crucial issues in the national TB program.


Authors' Contributions:

  • Conceptualization: Choi H, Kim HJ.

  • Methodology: Choi H.

  • Software: Oh KH.

  • Validation: Kim HJ.

  • Formal analysis: Choi H, Kim H, Oh KH.

  • Investigation: Oh HW.

  • Data curation: Kim H.

  • Writing - original draft preparation: Kim H.

  • Writing - review and editing: Choi H, Kim HJ, Oh KH, Oh HW.

  • Approval of final manuscript: all authors.

Conflicts of Interest: No potential conflict of interest relevant to this article were reported.


1. World Health Organization. Global tuberculosis report 2017 [Internet]. Geneva: World Health Organization; 2017. cited 2018 Jul 30. Available from:

2. Rajagopalan S. Tuberculosis and aging: a global health problem. Clin Infect Dis 2001;33:1034-1039. PMID: 11528577.
crossref pmid pdf
3. Korea Centers for Disease Control and Prevention. Infectious diseases surveillance yearbook, 2016 [Internet]. Cheongju: Korea Centers for Disease Control and Prevention; 2017. cited 2018 Jul 30. Available from:

4. Korea Centers for Disease Control and Prevention. Annual report on the notified tuberculosis in Korea, 2016 [Internet]. Cheongju: Korea Centers for Disease Control and Prevention; 2018. cited 2018 Jul 30. Available from:

5. Ananthakrishnan R, Kumar K, Ganesh M, Kumar AM, Krishnan N, Swaminathan S, et al. The profile and treatment outcomes of the older (aged 60 years and above) tuberculosis patients in Tamilnadu, South India. PLoS One 2013;8:e67288. PMID: 23861755.
crossref pmid pmc
6. Bennett DE, Courval JM, Onorato I, Agerton T, Gibson JD, Lambert L, et al. Prevalence of tuberculosis infection in the United States population: the national health and nutrition examination survey, 1999-2000. Am J Respir Crit Care Med 2008;177:348-355. PMID: 17989346.
crossref pmid
7. Ohmori M, Ishikawa N, Yoshiyama T, Uchimura K, Aoki M, Mori T. Current epidemiological trend of tuberculosis in Japan. Int J Tuberc Lung Dis 2002;6:415-423. PMID: 12019917.
8. Tocque K, Bellis MA, Tam CM, Chan SL, Syed Q, Remmington T, et al. Long-term trends in tuberculosis: comparison of age-cohort data between Hong Kong and England and Wales. Am J Respir Crit Care Med 1998;158:484-488. PMID: 9700125.
crossref pmid
9. Wang L, Zhang H, Ruan Y, Chin DP, Xia Y, Cheng S, et al. Tuberculosis prevalence in China, 1990-2010; a longitudinal analysis of national survey data. Lancet 2014;383:2057-2064. PMID: 24650955.
crossref pmid
10. Park YK, Park YS, Na KI, Cho EH, Shin SS, Kim HJ. Increased tuberculosis burden due to demographic transition in Korea from 2001 to 2010. Tuberc Respir Dis 2013;74:104-110.
11. Kim JH, Yim JJ. Achievements in and challenges of tuberculosis control in South Korea. Emerg Infect Dis 2015;21:1913-1920. PMID: 26485188.
12. Kim CH, Choi MH, No MS, Gwak MJ, Han JH, Ha ID, et al. Epidemiologic characteristics of incidence, death and spread of TB in South Korea [Internet]. Cheongju: Korea Centers for Disease Control and Prevention; 2016. cited 2018 Oct 1.

13. World Health Organization. Systematic screening for active tuberculosis: an operational guide [Internet]. Geneva: World Health Organization; 2015. cited 2018 Jul 30. Available from:

14. Choi HJ, Kim HJ, Oh KH, Chung HJ, Kim HY, Kim MH, et al. Development of a pilot model for tuberculosis management and care for socioeconomically vulnerable regions and groups [Internet]. Cheongju: Korea Centers for Disease Control and Prevention; 2017. cited 2018 Oct 1. Available from:

15. Korean National Tuberculosis Association. Korean National Tuberculosis Association annual report 2016. Seoul: Korean National Tuberculosis Association; 2017.

16. Dodd PJ, White RG, Corbett EL. Periodic active case finding for TB: when to look? PLoS One 2011;6:e29130. PMID: 22216182.
17. 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. PMID: 24675985.
18. Pronyk PM, Joshi B, Hargreaves JR, Madonsela T, Collinson MA, Mokoena O, et al. Active case finding: understanding the burden of tuberculosis in rural South Africa. Int J Tuberc Lung Dis 2001;5:611-618. PMID: 11467367.
19. Prasad BM, Satyanarayana S, Chadha SS, Das A, Thapa B, Mohanty S, et al. Experience of active tuberculosis case finding in nearly 5 million households in India. Public Health Action 2016;6:15-18. PMID: 27051605.
crossref pmid pmc
20. World Health Organization. The Stop TB strategy: building on and enhancing DOTS to meet the TB-related Millennium Development Goals. WHO/HTM/TB [Internet]. Geneva: World Health Organization; 2016. cited 2018 Jul 30. Available from:

21. World Health Organization. Implementing the end TB strategy: the essentials. WHO/HTM/TB [Internet]. Geneva: World Health Organization; 2015. cited 2018 Jul 30. Available from:

22. Kranzer K, Afnan-Holmes H, Tomlin K, Golub JE, Shapiro AE, Schaap A, et al. The benefits to communities and individuals of screening for active tuberculosis disease: a systematic review. Int J Tuberc Lung Dis 2013;17:432-446. PMID: 23485377.
crossref pmid
23. Lin YS, Yen YF. Determinants of mortality before start of and during tuberculosis treatment among elderly patients: a population-based retrospective cohort study. Age Ageing 2015;44:490-496. PMID: 25670782.
crossref pmid pdf
Figure 1

Cascade analysis of tuberculosis (TB) screening project involving the elderly who live in the Jeollanam-do region. PCR: polymerase chain reaction.

Table 1

Differences in the prevalence rates for cases suspected of TB and those diagnosed with TB depending on various demographic and clinical characteristics

*p-values were calculated using chi-square tests. Comorbidities among active TB cases: hypertension (n=4), cardiovascular disease (n=1), dyslipidemia (n=1), and gastrointestinal disease (n=1).

TB: tuberculosis; NS: not significant.

Total Screening outcomes
Suspected Active TB
No. (%) No. (%) p-value* No. (%) p-value*
Age, yr
 60-69 2,832 (22.8) 19 (0.67) <0.001 1 (0.04) 0.039
 70-74 2,709 (21.8) 43 (1.59) 1 (0.04)
 75-79 3,715 (30.0) 69 (1.86) 5 (0.13)
 80-84 2,099 (16.9) 46 (2.19) 4 (0.19)
 ≥85 1,047 (8.4) 34 (3.25) 5 (0.48)
 Male 4,205 (33.9) 110 (2.62) <0.001 10 (0.24) 0.010
 Female 8,197 (66.1) 101 (1.23) 6 (0.07)
Symptom of TB
 Yes 792 (6.4) 28 (3.54) <0.001 3 (0.38) NS
 No 11,608 (93.6) 183 (1.58) 13 (0.11)
Screening history
 Yes 2,285 (18.4) 39 (1.71) NS 4 (0.18) NS
 No, unknown 10,117 (81.6) 172 (1.70) 12 (0.12)
TB history
 Yes 593 (4.8) 52 (8.77) <0.001 3 (0.51) 0.038
 No, unknown 11,809 (95.2) 159 (1.35) 13 (0.11)
 Yes 7,460 (60.2) 117 (1.57) NS 7 (0.09) NS
 No 4,942 (39.8) 94 (1.90) 9 (0.18)
Table 2

Comparison of the TB notification rate between the “2009 and 2014 cohort of newly notified TB cases” and the “2017 TB screening for the elderly people living in the JN region”

*Choi HJ (2017). Development of a pilot model for TB management and care for socioeconomically vulnerable regions and groups. Cheongju: Korea Centers for Disease Control and Prevention14. Odds ratios were calculated using chi-square tests.

TB: tuberculosis; JN: Jeollanam-do.

National TB report data* 2017 TB screening for the elderly (JN)
2009 2014
Study population 5,267,708 6,520,607 12,402
Bacteriologically confirmed TB cases 5,560 7,678 16
TB cases per 100,000 105.5 117.7 129
Odds ratio 0.82 0.91 Reference
95% CI 0.50-1.34 0.56-1.49 Reference
Table 3

Comparison of the results of the TB screening project conducted in the Jeollanam-do region: “annual TB screening program for vulnerable populations” and “2017 TB screening for the elderly”

*Korean National Tuberculosis Association (2017). Korean National Tuberculosis Association annual report 2016. Seoul: Korean National Tuberculosis Association15, with permission of Korean National Tuberculosis Association.

TB: tuberculosis.

TB screening program for vulnerable population* 2017 TB screening for elderly
2014 2015 2016 2017
Total screening subjects 13,649 14,513 10,453 8,105 12,402
Suspected TB cases 388 418 261 120 211
Notified TB cases 10 13 3 5 16
Case detection rate 0.07 0.09 0.03 0.06 0.13
Number needed to screen 1,365 1,116 3,484 1,621 775

Article category

Browse all articles >


Browse all articles >

Editorial Office
101-605, 58, Banpo-daero, Seocho-gu (Seocho-dong, Seocho Art-Xi), Seoul 06652, Korea
Tel: +82-2-575-3825, +82-2-576-5347    Fax: +82-2-572-6683    E-mail:                

Copyright © 2020 by The Korean Academy of Tuberculosis and Respiratory Diseases. All rights reserved.

Developed in M2community

Close layer
prev next