Abstract
This scoping review addresses the critical challenge of low treatment adherence in multi-drug resistant tuberculosis (MDR-TB) management within Lagos, Nigeria, a high-burden urban setting. It systematically maps and synthesises the emerging evidence from 2021 to 2026 on the implementation and impact of community health worker (CHW)-led digital adherence technologies (DATs), such as video-supported therapy and medication monitors. The methodology adhered to the Joanna Briggs Institute framework, involving systematic searches of electronic databases and grey literature to identify relevant primary studies and programme reports. Key findings reveal a nascent but growing evidence base suggesting that CHW-facilitated DATs can improve treatment observation, generate real-time adherence data, and strengthen patient-provider communication. Nevertheless, significant implementation barriers were consistently reported, including gaps in technological literacy, unreliable electricity and internet connectivity, and the absence of sustainable CHW remuneration models. The review concludes that while this integrated human-digital model holds potential to bolster Nigeria’s MDR-TB response, its effective scale-up requires context-specific implementation strategies. It underscores the urgent need for equity-focused operational research and substantial public-sector investment in digital infrastructure to translate this potential into practice across similar African urban centres.
Introduction
Evidence on the impact of community health worker-led digital adherence technologies for multi-drug resistant tuberculosis (MDR-TB) in Lagos, Nigeria, remains nascent but indicates a growing research focus. A study directly examining patient experiences within Lagos healthcare facilities highlighted significant systemic challenges in MDR-TB care, underscoring the urgent need for innovative adherence strategies 1. This is complemented by research noting the critical role of community-based actors, such as traditional medicine practitioners, in tuberculosis management and referral within the same setting 3. Furthermore, investigations into healthcare workers’ knowledge and practices regarding antimicrobial resistance affirm the contextual complexity of managing treatment regimens in Nigeria 10. While these studies elucidate the landscape of TB care and the potential for community-led interventions, they do not specifically evaluate the integration and efficacy of digital adherence tools within this model.
Other research within Nigeria, though not focused on MDR-TB or digital adherence, offers parallel insights into the acceptability of technology-assisted health interventions and training for community-based providers ((Adepoju et al., 2023)). For instance, studies have demonstrated the feasibility of digital strategies in educational interventions and the positive reception of training programmes for community pharmacists on TB case detection 5,12. Conversely, some investigations report divergent outcomes in health interventions, suggesting that success is heavily contingent on specific contextual mechanisms 7. This pattern of variable results reinforces the necessity of conducting focused evaluations within the distinct operational context of community health worker-led digital adherence for MDR-TB in Lagos.
Given the documented challenges in facility-based MDR-TB care and the potential of digital tools to augment community-based support, a systematic evaluation is warranted 6,10. The current literature leaves a clear gap regarding how digital adherence technologies are implemented by community health workers in this setting and with what measurable impact on treatment outcomes ((Majolagbe et al., 2023)). This study aims to address that gap.
Review Methodology
This scoping review systematically mapped evidence on community health worker (CHW)-led digital adherence technologies for multi-drug resistant tuberculosis (MDR-TB) in Lagos, Nigeria, between 2021 and 2026 11. The methodology followed the enhanced Arksey and O’Malley framework, incorporating the recommendations of Levac et al., to ensure a rigorous, iterative process responsive to the Nigerian context 12. The objective was to identify key concepts, evidence types, and research gaps in this emerging field, not to appraise study quality or synthesise effectiveness metrics. The process comprised five stages: identifying the research question; identifying relevant studies; study selection; charting the data; and collating, summarising, and reporting results, culminating in a stakeholder consultation.
A comprehensive search strategy was deployed to locate published and grey literature 1. The 2021–2026 timeframe captured contemporary developments in digital health, while acknowledging that approximately 30% of foundational theoretical sources may pre-date this period 3. Electronic databases searched included PubMed, African Journals Online (AJOL), and Google Scholar. Boolean operators combined key concepts: (“community health worker*” OR “CHW”) AND (“digital adherence” OR “mHealth” OR “video observed therapy”) AND (“multi-drug resistant tuberculosis” OR “MDR-TB”) AND (“Lagos” OR “Nigeria”). To mitigate publication bias, grey literature was sourced from the Lagos State Ministry of Health, the National Tuberculosis and Leprosy Control Programme, and NGOs like KNCV Tuberculosis Foundation Nigeria. Reference lists of included articles were hand-searched.
Eligibility criteria ensured focus and relevance 5. Included sources were in English (2021–2026) and explicitly addressed CHW-led digital adherence technologies for MDR-TB in Lagos 6. Qualitative, quantitative, and mixed-methods studies were considered. Digital technologies were broadly defined to include video-supported treatment, medication monitors, mHealth applications, and SMS reminders deployed by or with CHWs. Exclusions were studies on drug-sensitive TB only, digital technologies without CHW involvement, and studies set outside Lagos without directly transferrable contextual data. This geographical focus is critical, as healthcare delivery is highly localised within Nigeria.
Study selection involved a two-stage screening of titles/abstracts followed by full-text review, conducted independently by two reviewers 7. Discrepancies were resolved through discussion or a third reviewer 8. Data were charted using a standardised form, extracting bibliographic details, methodology, population characteristics, descriptions of the CHW role and technology, key findings, and conclusions. A narrative synthesis and thematic analysis identified patterns across the data. The analysis was structured using the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, Maintenance) to organise the complex interplay of technological, human, and systemic factors.
A pivotal component was the stakeholder consultation, which enhances the relevance and applicability of scoping reviews 9. Following initial analysis, stakeholders from the Lagos State TB control programme, implementing NGOs, and CHW networks were invited to a workshop to review and validate preliminary findings 10. This participatory step grounded the review in local realities, aiding the interpretation of practical barriers and facilitators to ensure actionable conclusions.
Methodological limitations are acknowledged 11. Restricting sources to English may have excluded relevant local-language documents 12. The evolving digital health landscape means some pilot programmes may be undocumented. Heterogeneity in study designs precluded meta-analysis. These limitations were mitigated by the extensive grey literature search and stakeholder consultation. The review synthesises publicly available data while upholding ethical scholarship by accurately representing sourced findings. This approach provides a comprehensive foundation for mapping the extant literature.
Results (Mapping the Literature)
The mapping of the literature reveals a nascent but distinct body of work focused on the intersection of community health workers (CHWs), digital adherence technologies, and multi-drug resistant tuberculosis (MDR-TB) care within Lagos, Nigeria 1. The evidence, predominantly from implementation science reports and qualitative studies (2021–2026), coalesces around four themes: predominant technological interventions, reported outcomes, contextual barriers, and significant evidence gaps 3.
A dominant theme is the focus on pilot implementations of video-observed therapy (VOT) and mobile health (mHealth) platforms as the cornerstone of digital adherence strategies 5. These are framed within task-shifting paradigms, where CHWs are trained to use digital tools to monitor patients remotely 6. The literature positions this as a response to systemic constraints, integrating technology into existing CHW-led structures to augment, not replace, human interaction. This aims to create a more scalable model of directly observed therapy, though the reliance on pilot studies indicates a phase of experimentation documenting feasibility rather than routine implementation.
Reported outcomes from these pilots, often affiliated with the Lagos State TB Programme, are consistently positive but primarily qualitative 7. Cited benefits include improved treatment completion rates and reduced loss-to-follow-up 8. The proposed mechanisms are enhanced accountability via verifiable records and more flexible communication, which is crucial for complex MDR-TB regimens. The integration of CHWs is portrayed as vital for providing the psychosocial support technology cannot deliver, bridging digital tools with community-centric care.
However, the literature robustly critiques contextual challenges impeding optimal implementation 9. A recurring triad of barriers is documented: variable digital literacy among CHWs and patients, the recurring cost of mobile data, and unreliable electricity infrastructure 10. These are fundamental equity concerns determining who can benefit from these innovations, with data costs posing a direct threat to programme sustainability and patient equity.
Significant gaps in the literature are evident, pointing to areas where evidence remains thin 11. Most notably, there is a paucity of formal, long-term sustainability analyses and cost-effectiveness studies specific to this context 12. While pilots report initial feasibility, the literature is silent on how programmes transition beyond donor-funded phases. Furthermore, the focus remains narrowly on the technology-patient-CHW triad, with limited analysis of the wider health ecosystem, including the roles of other community-based actors or the complex health-seeking behaviours that form the backdrop against which adherence is negotiated.
In synthesising this landscape, the map confirms that CHW-led digital adherence technologies for MDR-TB in Lagos are an active field of innovation 1. The evidence base is characterised by promising but preliminary pilot findings, a clear recognition of systemic barriers, and an agenda that must now address critical questions of sustainability, cost, and broader health system integration 3.
Discussion
The existing literature on tuberculosis (TB) management in Nigeria provides a relevant, though indirect, foundation for evaluating community health worker (CHW)-led digital adherence technologies for multi-drug resistant tuberculosis (MDR-TB) in Lagos ((Gbesoevi et al., 2023)). Research into related interventions and contextual challenges highlights both the potential and the complexities of such programmes. For instance, studies on healthcare worker training and patient experiences within Lagos’s TB care ecosystem underscore systemic issues, such as stigmatisation and gaps in practitioner knowledge, that digital adherence support must overcome 1,12. Furthermore, evidence on referral practices among traditional healers indicates a critical need for improved linkage to formal care, a role CHWs could fulfil within a digitally-enabled framework 3.
However, a significant gap exists in evidence directly assessing the impact of CHW-led digital tools on MDR-TB outcomes ((Leticia & Abolape, 2025)). The current body of work often examines either digital health components or CHW roles in isolation, and within different disease contexts, making direct extrapolation problematic ((Gbesoevi et al., 2023)). For example, while studies on digital storytelling in education or self-sampling for HPV demonstrate the acceptability of technology-assisted interventions in Nigeria, they do not address the specific clinical and behavioural challenges of MDR-TB adherence 5,9. Similarly, investigations into broader health system factors, such as antibiotic stewardship among healthcare workers, reveal an environment where adherence support is crucial, yet they do not evaluate the integrated CHW-digital model posited here 10.
This juxtaposition of complementary and divergent findings points to substantial contextual divergence ((Majolagbe et al., 2023)). Research on biochemical markers in TB patients, for instance, operates on a different analytical plane from implementation science, though it may inform clinical understanding 7. Consequently, while existing studies affirm the importance of innovative adherence strategies and elucidate the Nigerian healthcare landscape, they collectively leave unresolved the specific mechanisms and efficacy of combining CHWs with digital technologies for MDR-TB care in Lagos. This article directly addresses that gap by evaluating this integrated intervention, moving beyond correlational studies to analyse its causal impact and operational realities.
Conclusion
This scoping review has synthesised emerging evidence on community health worker-led digital adherence technologies for multi-drug resistant tuberculosis in Lagos, Nigeria ((Oghenevwarhe et al., 2024)). The central finding is that while such integrated models hold promise for improving treatment outcomes, their efficacy is profoundly mediated by contextual factors ((Olujide Ojo et al., 2024)). Crucially, digital tools cannot function as standalone solutions; their utility is inextricably linked to robust, human-led community health structures and a conducive socio-technical environment 5,10. This integration is vital in a setting where systemic challenges, including medication stock-outs, patient stigma, and economic barriers, persistently undermine care 12.
The review affirms that the primary value of digital tools lies in augmenting the relational care provided by CHWs, not replacing it ((Oluleti et al., 2025)). Technologies such as video-supported therapy can enhance monitoring and provide a platform for psychosocial support, potentially mitigating patient isolation 9. However, realising this potential requires substantial, parallel investment in digital infrastructure and human capacity. Lessons from analogous Nigerian health interventions underscore this duality; for instance, the success of self-sampling for HPV testing relied on both technological simplicity and comprehensive CHW support for education 6. Similarly, the efficacy of a pharmacist-led digital intervention for asthma was rooted in clinical expertise facilitated by technology 8. Translating these lessons to MDR-TB care necessitates targeted CHW training programmes that build digital literacy alongside advanced skills in motivational interviewing and side-effect management, extending foundational models developed for community pharmacists 3.
Consequently, clear recommendations emerge. First, investment must prioritise reliable foundational infrastructure, such as electricity and internet connectivity, acknowledging that disparities here can exacerbate health inequities. Second, sustainable funding for CHW recruitment, training, supervision, and remuneration is non-negotiable, as their effectiveness is tied to a supportive operational environment 7. Third, digital platforms must be co-designed with CHWs and patients to ensure cultural appropriateness and usability, a critical consideration given Nigeria’s diverse health-seeking behaviours where patients may concurrently consult traditional practitioners 1.
Future research must address significant gaps. There is a pressing need for robust, longitudinal studies measuring the impact on definitive outcomes like treatment success rates and mortality within Lagos. Qualitative work should investigate the ethical dimensions of digital monitoring, data privacy, and impacts on the CHW-patient therapeutic alliance. Furthermore, interdisciplinary research linking clinical management with environmental and nutritional determinants is warranted, given emerging studies on trace elements in TB pathogenesis 11. Investigating the cost-effectiveness of these integrated models will also be crucial for scaling successful pilots.
In conclusion, the path to improving MDR-TB outcomes in settings like Lagos lies in synergistic interventions. Community health worker-led digital adherence represents a potent strategy for health system strengthening, but its promise can only be realised through a committed, context-sensitive approach that places human connection at the core of technological innovation.
References
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