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A Multi-Faceted Approach to Tuberculosis Active Case Finding among Remote Riverine Communities in Southern Nigeria

Excellence Community Education Welfare Scheme (ECEWS), Uyo 520231, Nigeria
McGill International TB Center, Research Institute of the McGill University Health Center, Montreal, QC H3G 1A4, Canada
TB REACH External M&E Reviewer, London E11 4DP, UK
Stop TB Partnership, 1218 Geneva, Switzerland
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(18), 9424;
Original submission received: 9 July 2021 / Revised: 30 July 2021 / Accepted: 9 August 2021 / Published: 7 September 2021
(This article belongs to the Special Issue Tuberculosis Program Implementation)


Nigeria accounts for 11% of the worldwide gap between estimated and reported individuals with tuberculosis (TB). Hard-to-reach communities on the Southern Nigeria coast experience many difficulties accessing TB services. We implemented an active case finding (ACF) intervention in Akwa Ibom and Cross River states utilizing three approaches: house-to-house/tent-to-tent screening, community outreach and contact investigation. To evaluate the impact, we compared TB notifications in intervention areas to baseline and control population notifications, as well as to expected notifications based on historical trends. We also gathered field notes from discussions with community volunteers who provided insights on their perspectives of the intervention. A total of 509,768 individuals were screened of which 12,247 (2.4%) had TB symptoms and 11,824 (96.5%) were tested. In total, 1015 (8.6%) of those identified as presumptive had confirmed TB—98.2% initiated treatment. Following implementation, TB notifications in intervention areas increased by 112.9% compared to baseline and increased by 138.3% when compared to expected notifications based on historical trends. In contrast, control population notifications increased by 101% and 49.1%, respectively. Community volunteers indicated a preference for community outreach activities. Multi-faceted, community-based interventions in Nigeria’s coastal areas successfully increase TB detection for communities with poor access to health services.

1. Introduction

Despite global declines in tuberculosis (TB) incidence and deaths, an estimated 10.0 million people fell ill with TB and over 1.2 million perished from the disease in 2019 [1]. The End TB strategy targets a 90% reduction in TB mortality and an 80% reduction in TB incidence by 2030 compared to 2015 levels [2]. One of the bottlenecks in achieving these targets stems from individuals falling through the cracks of official case reporting systems set up by National TB Programs—often referred to as the “missing millions”—who consequently cannot access quality TB care [3]. There are many reasons for this, including weak health systems, poor knowledge and awareness on TB, poor linkages to the private sector and lack of community engagement [3].
Nigeria has one of the world’s largest gaps between estimated and reported individuals with TB, contributing to 11% of the world’s missing millions, with only 117,300 (26.7%) out of an estimated 440,000 newly diagnosed individuals reported to the National Tuberculosis and Leprosy Control Program (NTBLCP) in 2019 [1]. The NTBLCP largely relies on passive case finding (PCF) to identify individuals with TB, an approach which only identifies people with TB who present with symptoms at health facilities [4]. However, active case finding (ACF) initiatives such as house-to-house screening are important to reach undiagnosed individuals not presenting to health facilities [5]. This approach utilizes a provider-initiated approach where at-risk populations are targeted through various systematic screening approaches.
In the coastal areas of Southern Nigeria, the population is mainly comprised of fishing and farming communities and settlements which are often subject to high levels of poverty [6]. These communities are considered hard-to-reach due to poor road infrastructure and being surrounded by creeks requiring boats to access certain locations [7,8]. As a result, riverine communities face many barriers in accessing health care such as unavailability of or difficulty reaching health facilities, lack of funds to finance health services or health facilities that lack appropriate medication or trained staff [8]. Further, poverty, illiteracy, as well as cultural and religious beliefs in these communities often impede health seeking [7]. It has been previously noted that hard-to-reach populations often have to walk over an hour to reach a health facility, and studies have shown that women living in the Atlantic coastline of Nigeria have poor awareness of TB [9,10].
In order to improve access to health services and TB case detection, Excellence Community Education Welfare Scheme (ECEWS), a non-profit organization aiming to improve health and education in Nigeria, received a proof-of-concept grant from the TB REACH Initiative of the Stop TB Partnership to implement a multi-faceted ACF intervention in riverine and hard-to-reach communities in two states on the Southern Nigerian coastline.

2. Methods

2.1. Intervention

The intervention was implemented in the lbeno, Oron and Mbo local government areas (LGAs) of Akwa Ibom State and in the Biase, Obubra and Odukpani LGAs of Cross River State (henceforth evaluation population) (Figure 1). The evaluation population was selected based on its location in Nigeria’s coastal areas. Three control LGAs were purposively selected based on similarity of the population to the evaluation population to allow for a pre-post comparison with a comparable population to that of evaluation population, Control LGAs were designated in Rivers State, namely Etche, Oyigbo, Ikwerre and Tai (henceforth control population) (Figure 1). The selection of the control population was based on similarity to the evaluation population in (1) population size and (2) access to health services (based on number of health facilities in the area). Further, control population was selected in a different state (Rivers State) to limit individuals from filtering into the evaluation population.
Three distinct approaches were employed to increase the reach of the intervention: house-to-house/tent-to-tent (H2H/T2T) screening, targeted community outreach and household contact investigation. ECEWS engaged community volunteers (CVs), patent medicine vendors (PMVs) and community pharmacists (CPs) to carry out activities. All were trained in general TB knowledge and screening, as well as sputum collection. In the H2H/T2T intervention, CVs verbally screened members of consenting households. For targeted community outreach, CVs screened participants in town halls, village squares, markets, local car parks and churches, while PMVs and CPs screened clients in their shops. Household contact investigation was carried out by CVs upon obtaining contact information from individuals diagnosed with TB. To raise awareness on the intervention, the project disseminated information through print media and provided health talks in schools. To encourage screening of women and children, healthcare workers (HCWs) also held weekly TB awareness workshops and verbal screening for pregnant women and children in antenatal clinics (ANCs).
Individuals with presumptive TB were defined as individuals who presented TB-like symptoms, namely ≥2 weeks of cough, night sweats, weight loss and/or fever. Upon identifying individuals with TB-like symptoms, CVs, PMVs or CPs obtained sputum samples and communicated with riders who transported samples using medical cooling boxes to general hospitals or stand-alone laboratories within the evaluation LGAs. All sputum samples were tested using GeneXpert MTB/RIF on same day of collection or within 48 h. In order to facilitate Xpert testing, ECEWS installed a GeneXpert MTB/RIF machine in Obubra Hospital. In all other LGAs, GeneXpert machines were available in close proximity to intervention communities. On occasions when CVs had access to motorbikes, they also took on the role of riders. If an individual identified as presumptive was not able to produce a sputum sample on the spot, they were provided with a specimen tube labelled with their name that a CV could collect the next morning from their homes. To diagnose childhood TB, the project engaged nearby health facilities and covered the cost of the chest X-ray (CXR) and transport for the parent and child. Childhood TB diagnosis was determined by the on-site clinician whose services were also compensated by ECEWS to ensure timely evaluation of CXR. To ensure safety of all project staff, all involved in screening and collection of sputum samples were provided face masks, gloves, and antiseptic solution.
Results were retrieved by the riders or CVs and shared with the LGA TB and Leprosy Supervisors (LGTBLS) who subsequently linked individuals with confirmed TB to Directly Observed Treatment Short Course (DOTS) centers. Throughout the intervention, CVs, PMVs and CPs provided treatment support for individuals who requested it or lived far from DOTS centers by delivering the medication through home visits (CVs) or providing it in their shops (PMVs, CPs)—with the approval of the LGTBLS. The CVs, PMVs and CPs were given performance-based incentives for each individual with bacteriologically confirmed (Bac+) TB identified.
To encourage acceptance of the intervention, ECEWS engaged four community leaders in each intervention LGA. Engaged community leaders were selected among community gatekeepers (e.g., village heads, women and youth leaders, pastors) based on willingness to participate. Community leaders served as local representatives of the ECEWS intervention by coordinating screening activities and advocating for the intervention in the engaged communities.

2.2. Data Collection

During verbal screening, CVs, PMVs and CPs were provided paper-based TB symptom checklists and referral registers. All sputum samples collected were recorded using a sputum examination and request form. Individuals with presumptive TB were documented in the health facility’s presumptive TB register and information on sputum samples was entered into laboratory’s registers which also captured the result of each test. All individuals with confirmed TB were notified to the LGTBLS and were also documented in DOTS center treatment registers for treatment initiation. ECEWS Monitoring and Evaluation officers gathered and validated all data. TB notification data for the intervention period, as well as historical data was collected for both the evaluation LGAs and control LGAs from State TB program notification systems. All aggregate data were collected and tabulated on Excel 2016. Field notes were also gathered from discussions with CVs to gain their insights into the intervention.

2.3. Data Analysis

Quantitative data were analyzed according to the TB REACH framework as previously reported [11]. The baseline period was determined by notification data for the period of 1 October 2017 to 30 September 2018. Since the ECEWS intervention was conducted between 1 October 2018 to 31 December 2019 which incorporates an additional fifth quarter, baseline data (collected over four quarters) were multiplied by a factor of 1.25 in order to account for the additional quarter. Notification data from the evaluation population were compared with baseline and control population notification data. A linear regression using 3-year historical notification data from 1 October 2015 to 30 September 2018 were used to extrapolate the expected case notifications for the evaluation and control populations for the intervention period. This enabled a comparison between case notifications during the implementation period and the expected notifications if the intervention had not been implemented. Baseline data enabled computation of unadjusted additional notifications which is calculated by: (total notifications after implementation)—(total notifications during baseline period). To consider historical trends in notifications, adjusted additional notifications was computed through considering the number of notifications that would have occurred without the intervention (i.e., expected notifications), through the following: (total notifications after implementation)—(3-year trend-adjusted expected notifications). Expected notifications were computed using the “FORECAST” function on Excel 2016 which predicts values based on a trend line.

3. Results

3.1. Intervention Notification Data

ECEWS trained and engaged a total of 120 CVs (70 female, 50 male), 111 PMVs (30 female, 81 male), 9 CPs (4 female, 5 male), 30 HCWs (all female) and 24 community leaders (12 female, 12 male). Between 1 October 2018 to 31 December 2019, a total of 509,768 individuals were screened (Table 1). Of those screened, 12,247 (2.4%) had one or more TB symptoms and 11,824 (96.5%) were tested. In total, 1015 (8.6%) of those identified as presumptive had confirmed TB—all forms including clinically confirmed, Bac+ and extra-pulmonary TB—of which 808 (79.6%) had Bac+ TB. The majority (98.2%) of individuals with confirmed TB initiated treatment, and all those who initiated treatment also completed treatment. Table 1 further outlines results of the intervention by gender. Overall, more women were screened for TB than men, but a larger proportion of men had confirmed TB (Bac+ and all forms) with a male to female ratio of 1.1.
Table 2 compares total TB case notifications for the control and evaluation population during the implementation period with notifications during the baseline period of 1 October 2017 to 30 September 2018, as well as with expected notifications for the implementation period. For all forms TB, notifications increased by 112.9% compared baseline notification data and by 138.3% compared to expected notifications during the implementation period in the evaluation population while in the control population notifications increased by 101.0% and 49.1%, respectively. This is further reflected in Figure 2 which showcases an upward trend in notifications in the evaluation population (y = 8.826x + 85.096) which is stronger than that of the control population (y = 2.3162x + 41.566). Thus, although historical notifications were higher in the evaluation population and both control and evaluation population had notifications higher than the expected notifications, the difference was substantially higher in the evaluation population. Table 3 outlines the additional childhood TB notifications compared to baseline for the evaluation population which increased by 656% following the intervention.
Table 4 outlines the results of the intervention by each approach employed by ECEWS. Most were screened either through community outreach or H2H/T2T. Contact screening resulted in a higher proportion of individuals identified as presumptive (11.5% compared to 2.2% for the community outreach and H2H/T2T). For other indicators, yield was similar throughout all three approaches. However, the number needed to screen (NNS) for contact investigation was substantially lower than for community outreach and H2H/T2T.

3.2. Observations from the Field

3.2.1. Impact and Reception of the Intervention

Overall, CVs indicated a positive experience working for the ECEWS intervention. CVs shared that training helped increase their knowledge on TB which enabled them to forego traditional beliefs such as TB being caused by witchcraft. Many indicated that benefits of the intervention were that they could support their communities and be recognized for their work. They also noted the importance of living within the communities they were working with and how this enabled higher acceptance of screening. CVs shared that the intervention not only helped increase awareness of TB in the community, but it also shifted negative perspectives of TB (i.e., TB seen as a punishment or always resulting in death). However, CVs reported resistance towards sputum collection and persistence of stigma towards TB in the community. It was also noted that community leaders were very supportive and encouraging of the intervention and even directly referred community members to CVs for screening.

3.2.2. Perception of the Three Different Approaches

Many CVs indicated that the H2H/T2T intervention enabled them to be perceived as focal points for TB since household members became familiar with them. They also indicated that this approach was most beneficial for people who could not leave their homes or were bedridden. However, in H2H/T2T, CVs encountered individuals who had negative reactions to screening or sputum collection, sometimes demanding incentives such as food or beverages in return for screening. Further, some individuals feared that if they let the CV into their homes, they would be stigmatized by their neighbors who might think they had TB. Further, community outreach activities resulted in large volumes of people being screened in one event but were most successful when support was garnered from the community. Certain community members attended outreach activities but desired compensation (i.e., money, food) or wanted to receive health services for other conditions. Thus, clear communication of the objective of these activities became important during community outreach to manage expectations. For contact investigation, CVs indicated that contacts were more accepting and appreciative of the intervention because they already knew from their relative or friend with TB the benefits of receiving TB treatment. However, in instances where the relative or friend was experiencing negative treatment side effects, they could discourage their contacts from participating. Further, individuals diagnosed with TB did not always provide accurate addresses for contacts. CVs indicated a perception of community outreach as a simpler approach as it did not involve as much transport and allowed them to work with other CVs as a team.

4. Discussion

Through a multi-faceted intervention incorporating community outreach, H2H/T2T screening and contact investigation, ECEWS successfully increased case detection of TB in Akwa Ibom and Cross River states. The results of this intervention contribute to the existing body of evidence indicating the importance of ACF in low resource settings [4,12,13] as evidenced by the 112.9% increase in TB notifications during the implementation period compared to baseline and the 138.3% increase compared to expected notifications. The three approaches resulted in similar yields; however, anecdotal information gathered from community volunteers provided insights into the unique challenges of each approach. For instance, while H2H/T2T screening was considered useful to gain access to individuals who could not otherwise access services and it was indicated that screening through contact investigation was generally more accepted, community outreach was preferred among the CVs due it being an easier and more team-oriented approach.
Findings that more men were diagnosed with TB are in line with existing literature indicating that men are generally overrepresented in TB notification data [14]. The results of this intervention further highlight the importance of community-based approaches in increasing childhood TB notifications in Nigeria, as has been previously noted [15]. Low case notification in children stem from challenges in diagnosing childhood TB due to lack of accurate diagnostic tests for this population, often resulting in false negative results [16]. Our approach of providing transport vouchers to parents and engaging clinicians to provide clinical evaluation and CXR interpretation helped increase childhood TB notification by 656% in the evaluation population. However, the persistent low proportion of childhood TB cases relative to overall TB cases found underlines the fact that further efforts need to be made to increase access to TB care for children, as well as improve diagnosis and management of childhood TB. Further, the contact investigation approach yielded a lower NNS than the other two approaches which is consistent with evidence indicating that contacts of people with TB are at higher risk for developing TB [17]. In this project, CVs facilitated sputum collection and transport to labs which helped decrease pre-diagnostic loss to follow-up. A previous study by Vyas et al., also highlighted that community-based sputum collection and transport allows for more individuals to undergo testing than solely referring individuals with TB symptoms to laboratories [12]. In this intervention, treatment completion was extremely successful with a 100% completion rate among those who initiated treatment. One of the reasons for the success of treatment completion could be due to engagement of CVs, PMVs and CPs to provide treatment support to individuals who would otherwise have had difficulty reaching DOTS centers.
Previous literature has highlighted the importance of employing community-based approaches in Nigeria [18]. This intervention demonstrates that an emphasis should also be placed on the role of CVs who are rooted within the communities they are serving. In this intervention, engaging highly motivated CVs helped overcome many of the challenges encountered during screening such as reluctance towards screening and overcoming negative behavior in the community. Although CVs were provided with monetary incentives for their work, they indicated that supporting their community and being recognized for their work were also important factors. This is similar to the findings of Khan et al. who suggest that financial gain is not always a principal motivator for community health workers, and that intrinsic motivation stemming from moral or religious factors (i.e., desire to help others) may play an important role [19].
Another important aspect of this intervention was that strong engagement of community leaders facilitated implementation of the intervention. Involvement of local leaders to overcome resistance in the community has been noted as an important consideration for ACF interventions [20] and has been indicated as an important step in creating effective health interventions in Nigeria [7].
Throughout implementation, ECEWS accumulated many lessons learnt in regard to implementing Xpert testing in a hard-to-reach and underserved area. Although there was high Xpert coverage in the EP, the increase in volume of testing samples due to the intervention overwhelmed nearby laboratories (cartridge shortages, overworked staff). This resulted in longer turnaround times for results. To mitigate this challenge, the project staff engaged Xpert laboratories outside of intervention LGAs, which compensated for challenges in nearby laboratories. Cattamanchi et al. indicate that high Xpert coverage must be accompanied by addressing larger health system barriers, such as improved staff training and coordination, in order to ensure maximum impact on diagnostics [21]. Further, the project ensured easy access to Xpert testing in all EP and procured a GeneXpert MTB/RIF machine for the Obubra LGA where it was not previously accessible.
One of the limitations of this intervention is that although the project provided free CXR for children, the budget did not allow financing of CXR for adults, which could have increased the number of clinically diagnosed individuals. Further, the evaluation of this intervention is based on programmatic data and not on data collected in a controlled study setting, thus the increase in TB notifications during the intervention period cannot be fully attributed to the intervention. However, the use of a control population as well as baseline data does suggest improvements due to the intervention.

5. Conclusions

The riverine and hard-to-reach populations of Southern Nigeria face many challenges to accessing care. However, community-based interventions such as this one that support case finding in a variety of ways in the target communities can result in important gains in detecting TB. Working with local leaders and staff to ensure success of interventions is vital in this context. It is important to note that this intervention not only sought to improve case finding, but also worked to strengthen many aspects of the TB care cascade by providing various opportunities for screening, facilitating diagnosis through on-site sputum collection and transport, as well as providing sensitive diagnosis through Xpert testing, easy linkage to treatment and treatment support where required. All this was accompanied by successful engagement of hard-to-reach communities, careful supervision of the data collection process to ensure quality data, as well as consistently troubleshooting implementation challenges when they occurred. Thus, this intervention not only resulted in increased diagnosis of TB, but also in improved quality of care for all individuals engaged by the project. Due to the success of this intervention, ECEWS received an additional TB REACH grant to scale up their intervention to 15 LGAs across five states, including Akwa Ibom, Bayelsa, Cross River, Delta and Imo. Further, the ECEWS ACF model is being considered for inclusion into Nigeria’s National Strategic Plan for Tuberculosis. Similar community-based, multi-faceted approaches could be effective to reach populations with limited access to TB screening and diagnostic services in other high TB burden countries.

Author Contributions

Conceptualization, A.S.E., V.O.O., O.O., F.B., U.E. and D.U.; methodology, A.S.E., V.O.O., O.O., F.B., U.E. and D.U.; validation, A.S.; formal analysis, N.A.V., J.B. and A.S.; investigation, A.S.E., V.O.O., O.O., F.B., U.E. and D.U.; data curation, A.S.E., V.O.O., O.O., F.B., U.E., D.U. and A.S.; writing—original draft preparation, N.A.V. and J.B.; writing—review and editing, V.O.O., N.A.V., J.B. and M.T.R.; visualization, V.O.O. and N.A.V.; supervision, A.S.E., A.S. and M.T.R.; funding acquisition, A.S.E. and V.O.O. All authors have read and agreed to the published version of the manuscript.


The intervention was supported by Stop TB Partnership’s TB REACH initiative. TB REACH is funded by Global Affairs Canada. The funder had no role in study design, data collection, analysis, or preparation of the manuscript.

Institutional Review Board Statement

This intervention was approved by the Nigeria NTBLCP and local State TB programs. No other ethical approval was required as only aggregate data are presented. Anecdotal findings from field notes were collected through informal discussions between project staff and CVs and are also presented as aggregate information.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable. Data are stored by the NTBLCP and are subject to the organization’s sharing and privacy policies.


The authors would like to acknowledge National Coordinator, NTBLCP, state TB program managers of Akwa Ibom, Cross River and Rivers states and Ministry of Health staff of the different states who collaborated with ECEWS in the implementation of this intervention. We further recognize the invaluable work of the CVs, PMVs, CPs, HCWs and community leaders enabling the screening, diagnosis and treatment support of riverine and hard-to-reach populations in Southern Nigeria.

Conflicts of Interest

N.A.V. and J.B. are members of the Research Institute of the McGill University Health Center, which has received a knowledge management grant from the Stop TB Partnership—TB REACH initiative. M.T.R. works at the Stop TB Partnership Secretariat and provides technical support to selected projects but does not make funding decisions.


  1. World Health Organization. Global Tuberculosis Report 2020 [Internet]. Geneva. Available online: (accessed on 27 November 2020).
  2. Floyd, K.; Glaziou, P.; Houben, R.M.G.J.; Sumner, T.; White, R.G.; Raviglione, M. Global tuberculosis targets and milestones set for 2016-2035: Definition and rationale. Int. J. Tuberc. Lung. Dis. 2018, 22, 723–730. [Google Scholar] [CrossRef] [PubMed]
  3. World Health Organization (WHO). Joint Initiative “Find. Treat. All. #ENDTB” [Internet]. Available online: (accessed on 5 February 2021).
  4. Ogbudebe, C.L.; Chukwu, J.N.; Nwafor, C.C.; Meka, A.O.; Ekeke, N.; Madichie, N.O.; Anyim, M.C.; Osakwe, C.; Onyeonoro, U.; Ukwaja, K.N.; et al. Reaching the underserved: Active tuberculosis case finding in urban slums in southeastern Nigeria. Int. J. Mycobacteriol. 2015, 4, 18–24. [Google Scholar] [CrossRef] [PubMed][Green Version]
  5. Adepoju, P. Nigeria’s widening tuberculosis gap. Lancet Infect. Dis. 2020, 20, 29. [Google Scholar] [CrossRef]
  6. Ologbon, O.A.C.; Idowu, A.O.; Salmonu, K.K.; Oluwatayo, I.B. Incidence of multidimensional poverty among riverine households in Southwestern Nigeria. J. Agric. Sci. 2014, 6. [Google Scholar] [CrossRef][Green Version]
  7. Afe Abayomi, J.; Edet-Utan, O.; Fadero, T.; Akinmurele, T. Heath-seeking behavior of riverine residents of Arogbo-Ijaw island in ese-odo local government area of ondo state, Southwest Nigeria. S. Am. J. Acad. Res. 2015, 2. Available online: (accessed on 29 July 2021).
  8. Ofili, M.I.; Ncama, B.P.; Sartorius, B. Hypertension in rural communities in Delta State, Nigeria: Prevalence, risk factors and barriers to health care. Afr. J. Prim. Health Care Fam. Med. 2015, 7, 7. [Google Scholar] [CrossRef] [PubMed][Green Version]
  9. Ukwaja, K.N.; Alobu, I.; Nweke, C.O.; Onyenwe, E.C. Healthcare-seeking behavior, treatment delays and its determinants among pulmonary tuberculosis patients in rural Nigeria: A cross-sectional study. BMC Health Serv. Res. 2013, 13, 25. [Google Scholar] [CrossRef] [PubMed][Green Version]
  10. Bamgboye, M.; Ezedinachi, E.; Bassey, I.; Iwara, A. Raising awareness about Tuberculosis among women living in rural communities on the Atlantic coastline of Nigeria. Transl. Biomed. 2016, 7, 3. [Google Scholar]
  11. Blok, L.; Creswell, J.; Stevens, R.; Brouwer, M.; Ramis, O.; Weil, O.; Klatser, P.; Sahu, S.; Bakker, M.I. A pragmatic approach to measuring, monitoring and evaluating interventions for improved tuberculosis case detection. Int. Health 2014, 6, 181–188. [Google Scholar] [CrossRef] [PubMed][Green Version]
  12. Vyas, A.; Creswell, J.; Codlin, A.J.; Stevens, R.; Rao, V.G.; Kumar, B.; Khaparde, S.; Sahu, S. Community-based active case-finding to reach the most vulnerable: Tuberculosis in tribal areas of India. Int. J. Tuberc. Lung Dis. 2019, 23, 750–755. [Google Scholar] [CrossRef] [PubMed]
  13. Abdullahi, S.A.; Smelyanskaya, M.; John, S.; Adamu, H.I.; Ubochioma, E.; Kennedy, I.; Abubakar, F.A.; Ago, H.A.; Stevens, R.; Creswell, J. Providing TB and HIV outreach services to internally displaced populations in Northeast Nigeria: Results of a controlled intervention study. PLoS Med. 2020, 17, e1003218. [Google Scholar] [CrossRef]
  14. Chikovore, J.; Pai, M.; Horton, K.C.; Daftary, A.; Kumwenda, M.K.; Hart, G.; Corbett, E.L. Missing men with tuberculosis: The need to address structural influences and implement targeted and multidimensional interventions. BMJ Glob. Health 2020, 5, e002255. [Google Scholar] [CrossRef] [PubMed]
  15. Oshi, D.C.; Chukwu, J.N.; Nwafor, C.C.; Meka, A.O.; Madichie, N.O.; Ogbudebe, C.L.; Onyeonoro, U.U.; Ikebudu, J.N.; Ekeke, N.; Anyim, M.C.; et al. Does intensified case finding increase tuberculosis case notification among children in resource-poor settings? A report from Nigeria. Int. J. Mycobacteriol. 2016, 5, 44–50. [Google Scholar] [CrossRef] [PubMed][Green Version]
  16. World Health Organization (WHO). Roadmap for Childhood Tuberculosis: Towards Zero Deaths [Internet]. Geneva. 2013. Available online:;jsessionid=9719130E0F339BCCD67DEA533A706CEC?sequence=1 (accessed on 29 July 2021).
  17. Fox, G.J.; Barry, S.E.; Britton, W.J.; Marks, G.B. Contact investigation for tuberculosis: A systematic review and meta-analysis. Eur. Respir. J. 2013, 41, 140–156. [Google Scholar] [CrossRef] [PubMed]
  18. Oshi, D.; Omeje, J.; Oshi, S.; Alobu, I.; Chukwu, N.; Nwokocha, C.; Emelumadu, O.; Ogbudebe, C.; Meka, A.; Ukwaja, K.N. An evaluation of innovative community-based approaches and systematic tuberculosis screening to improve tuberculosis case detection in Ebonyi State, Nigeria. Int. J. Mycobacteriol. 2017, 6, 246–252. [Google Scholar] [CrossRef] [PubMed]
  19. Khan, M.S.; Mehboob, N.; Rahman-Shepherd, A.; Naureen, F.; Rashid, A.; Buzdar, N.; Ishaq, M. What can motivate lady health workers in Pakistan to engage more actively in tuberculosis case-finding? BMC Public Health 2019, 19, 999. [Google Scholar] [CrossRef] [PubMed]
  20. Pande, T.; Vasquez, N.A.; Cazabon, D.; Creswell, J.; Brouwer, M.; Ramis, O.; Stevens, R.H.; Ananthakrishnan, R.; Qayyum, S.; Alphonsus, C.; et al. Finding the missing millions: Lessons from 10 active case finding interventions in high tuberculosis burden countries. BMJ Glob. Health 2020, 5, e003835. [Google Scholar] [CrossRef] [PubMed]
  21. Cattamanchi, A.; Berger, C.A.; Shete, P.B.; Turyahabwe, S.; Joloba, M.; Moore, D.A.; Davis, J.L.; Katamba, A. Implementation science to improve the quality of tuberculosis diagnostic services in Uganda. J. Clin. Tuberc. Other Mycobact. Dis. 2019, 18, 100136. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Map of selected LGAs in the control (Rivers State) and evaluation populations (Akwa Ibom and Cross River States) for the ECEWS intervention.
Figure 1. Map of selected LGAs in the control (Rivers State) and evaluation populations (Akwa Ibom and Cross River States) for the ECEWS intervention.
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Figure 2. All forms TB cases during baseline and implementation periods and expected values during implementation period based on historical 3-year linear trend.
Figure 2. All forms TB cases during baseline and implementation periods and expected values during implementation period based on historical 3-year linear trend.
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Table 1. Results of the intervention in lbeno, Oron, Mbo (Akwa Ibom) and in Biase, Obubra and Odukpani (Cross River).
Table 1. Results of the intervention in lbeno, Oron, Mbo (Akwa Ibom) and in Biase, Obubra and Odukpani (Cross River).
N (%)
N (%)
N (%)
Number of people screened509,768241,745268,023
Number of individuals with presumptive TB (% among screened)12,247 (2.4)5443 (2.3)6804 (2.5)
Number tested for TB (% among individuals with presumptive TB)11,824 (96.5)5236 (96.2)6588 (96.8)
Number of people with Bac+ 1 TB (% among tested)808 (6.8)436 (8.3)372 (5.6)
Number of individuals diagnosed with all forms 2 TB (% among individuals with presumptive TB)1015 (8.3)539 (9.9)476 (7.0)
Number of individuals with Bac+ TB started on treatment (% among Bac+ 1 TB)794 (98.2)432 (99.1)362 (97.3)
Number of individuals with all forms TB started on treatment (% all forms TB)1001 (98.6)532 (98.7)469 (98.5)
Number of individuals with Bac+ TB who completed treatment (% started treatment)794 (100.0)432 (100.0)362 (100.0)
Number of individuals with all forms TB who completed treatment (% started treatment)1001 (100.0)532 (100.0)469 (100.0)
1 Bac+ = bacteriologically confirmed; 2 all forms = bacteriologically and clinically confirmed and extra-pulmonary.
Table 2. Additional TB case notifications compared to baseline and expected notifications in the evaluation and control populations.
Table 2. Additional TB case notifications compared to baseline and expected notifications in the evaluation and control populations.
Evaluation PopulationControl Population
Bac+All FormsBac+All Forms
Baseline notification data (2017–2018)518591226204
Notifications during implementation9211258365410
Unadjusted additional notifications403667139206
% change from baseline 77.8%112.9%61.5%101.0%
Expected notifications (without intervention) *534528225275
Adjusted additional notifications387730140135
% change from expected notifications72.5%138.3%62.2%49.1%
* Expected notifications were extrapolated using an adjusted trend line with notification data from 1 October 2015 to 30 September 2018.
Table 3. Additional childhood TB case notifications compared to baseline by age category.
Table 3. Additional childhood TB case notifications compared to baseline by age category.
0–4 Years5–14 YearsTotal
Baseline childhood TB notifications (2017–2018)51116
Notifications during implementation2794121
Additional notifications2283105
% change from baseline 440%755%656%
Table 4. Results of the intervention by approach in lbeno, Oron, Mbo (Akwa Ibom) and in Biase, Obubra and Odukpani (Cross River) by approach.
Table 4. Results of the intervention by approach in lbeno, Oron, Mbo (Akwa Ibom) and in Biase, Obubra and Odukpani (Cross River) by approach.
Community OutreachH2H/T2T 1 ScreeningContact Investigation
Number of people screened209,177269,06911,700
Number of individuals with presumptive TB (% among screened)4536 (2.2)5786 (2.2)1350 (11.5)
Number tested for TB (% among individuals with presumptive TB)4405 (97.1)5509 (95.2)1350 (100.0)
Number of people with Bac+ TB (% among tested)283 (6.4)386 (7.0)95 (7.0)
Number of people diagnosed with all forms TB (% among individuals with presumptive TB)385 (8.5)461 (8.0)105 (7.8)
Number of individuals with Bac+ TB started on treatment (% among Bac+ TB)278 (98.2)377 (97.7)95 (100.0)
Number of individuals with all forms TB started on treatment (% all forms TB)385 (100.0)452 (98.0)105 (100.0)
Number of individuals with Bac+ TB who completed treatment (% started treatment)278 (100.0)377 (100.0)95 (100.0)
Number of individuals with all forms TB who completed treatment (% started treatment)385 (100.0)452 (100.0)105 (100.0)
Number needed to screen to diagnose one TB case (all forms)543583111
1 H2H/T2T = house-to-house/tent-to-tent.
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Eyo, A.S.; Obot, V.O.; Onyedinachi, O.; Aguilera Vasquez, N.; Bigio, J.; Sanaie, A.; Beulah, F.; Ette, U.; Uju, D.; Rahman, M.T. A Multi-Faceted Approach to Tuberculosis Active Case Finding among Remote Riverine Communities in Southern Nigeria. Int. J. Environ. Res. Public Health 2021, 18, 9424.

AMA Style

Eyo AS, Obot VO, Onyedinachi O, Aguilera Vasquez N, Bigio J, Sanaie A, Beulah F, Ette U, Uju D, Rahman MT. A Multi-Faceted Approach to Tuberculosis Active Case Finding among Remote Riverine Communities in Southern Nigeria. International Journal of Environmental Research and Public Health. 2021; 18(18):9424.

Chicago/Turabian Style

Eyo, Andy Samuel, Valerie Okon Obot, Okezie Onyedinachi, Nathaly Aguilera Vasquez, Jacob Bigio, Ataulhaq Sanaie, Favour Beulah, Uduak Ette, Dennis Uju, and Md. Toufiq Rahman. 2021. "A Multi-Faceted Approach to Tuberculosis Active Case Finding among Remote Riverine Communities in Southern Nigeria" International Journal of Environmental Research and Public Health 18, no. 18: 9424.

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