The trial, led by Ngozi Murphy-Okpala of RedAid Nigeria and colleagues, enrolled 442 people with tuberculosis who also showed significant depressive symptoms, defined as a score of five or higher on the nine-item Patient Health Questionnaire, a widely used screening tool scored from 0 to 27. Participants were recruited between January and April 2025 across ten local government areas in three Nigerian states: Anambra and Enugu in the south, and Nasarawa in the north. Eight southern sites, spanning eleven public and private health facilities, served as the intervention arm, while seven facilities in two northern LGAs acted as controls. The researchers deliberately chose control sites that were geographically separated from the intervention areas to reduce the risk of contamination between study groups.

The intervention itself was a pragmatic test of task sharing, the rational redistribution of clinical tasks from scarce specialists to trained non-specialist health workers. At intervention sites, community health workers and non-mental-health nurses delivered a one-stop package of TB and depression care guided by the World Health Organization’s Mental Health Gap Action Programme Intervention Guide. Their toolkit included psychoeducation about diagnosis, treatment duration, adherence and side effects; identification of psychosocial stressors; problem-solving techniques; strengthening of social support; and encouragement to continue regular social and occupational activities. Antidepressant medications drawn from Nigeria’s essential primary care drug list were prescribed when guidelines indicated. A consultant psychiatrist provided refresher training and remote supportive supervision throughout.

Control sites operated the way most Nigerian TB services do: patients received TB treatment from the same cadre of health workers, but anyone screening positive for depression was referred to a specialist mental health provider in a separate setting. The researchers then tracked a sobering real-world detail. According to information gathered by the health workers, not a single participant in the control arm actually completed the referral to a specialist, even though they kept returning for their TB appointments. The referral chain, in other words, functioned on paper but not in practice, a finding that speaks volumes about the barriers separating rural and semi-urban patients from hospital-based psychiatric services concentrated in large cities.

Depressive symptoms were measured with the PHQ-9 at baseline and again at two, eight and 24 weeks, intervals chosen to coincide with expected relief from depression, completion of active TB treatment and completion of the continuation phase of TB therapy. Social support was assessed with the validated Oslo social support scale, and covariates including age, sex, education, marital status, residence and comorbidities were statistically controlled. The 22 health workers who administered the instruments underwent two days of intensive training, roughly 12 to 14 contact hours, with role-plays, supervised mock interviews and reliability testing; data collection began only once inter-rater agreement exceeded a Cohen’s kappa of 0.8. Questionnaires were carefully translated into Igbo and Hausa through iterative forward and back translation.

The statistical core of the study was a mixed analysis of variance comparing symptom trajectories between and within the two arms, analyzed both per protocol and by intention to treat, with missing data handled by last observation carried forward for 120 participants. The headline result was a null one: there was no significant difference in PHQ-9 scores between the integrated-care group and the standard-care group at the end of follow-up (F = 0.95, p = 0.32), and the interaction between study arm and time was likewise non-significant (F = 0.66, p = 0.57). Both groups improved in parallel, with depressive symptom scores falling significantly over the 24 weeks in each arm (p < 0.001).

That parallel improvement is the study’s most provocative wrinkle. Even though no control participant saw a specialist, their depression lifted anyway, apparently in response to TB treatment alone. The authors note that participants in the control arm had mostly moderate depression, with a median PHQ-9 score of 12, and point to earlier research documenting a progressive decline in depressive symptoms during TB therapy, from just over half of patients at baseline to under three percent at six months. Some TB drugs, notably isoniazid, have long been suspected of having antidepressant properties, and the simple resolution of a devastating illness may itself relieve psychological distress. The trial cannot disentangle these mechanisms, but the implication is clear: TB treatment alone can partially treat the depression that accompanies it.

Where the study did find a sharp signal was in the link between mental state and TB outcomes. Depressive symptom scores at the end of follow-up differed significantly according to TB treatment outcome (F = 25.78, p < 0.001): patients whose depression had markedly improved were the ones who completed treatment and achieved cure, while those who dropped out, died or were transferred out carried persistently higher symptom scores. This is the vicious cycle that TB researchers have described as a syndemic: depression discourages care-seeking and adherence, poor adherence prolongs infectiousness and drives drug resistance, and a worsening illness deepens despair. Breaking that cycle, the authors argue, requires TB programs to actively screen for and treat mental health conditions rather than treating them as someone else’s problem.

Regression analysis identified several independent predictors of residual depressive symptoms at 24 weeks: older age, primary-level education, and higher baseline depression scores all predicted worse outcomes, while rural residence and receiving either intervention were associated with lower final scores. The intervention variable itself emerged as a significant predictor (β = -0.17, p = 0.004), a nuance the authors interpret cautiously given the absence of an overall between-group difference. The study has acknowledged limitations: it was not randomized, the control sites were socio-culturally different and fewer in number, and six months of follow-up cannot establish how long any benefit lasts. A randomized trial with allocation concealment remains the gold standard.

Even so, the practical message is hard to ignore. Non-specialist health workers, already the backbone of TB care in Nigeria and much of sub-Saharan Africa, can be trained in days to deliver guideline-based depression care that performs at least as well as a referral system that, in this study, nobody completed. With roughly four in ten people with TB in Africa showing significant depressive symptoms, and depression projected to be among the world’s most burdensome disorders by 2030, the one-stop integrated model now being piloted in Nigeria offers a rare piece of good news: the workforce to close the mental health treatment gap may already be standing in the TB clinic.

Subject of Research: Integrated tuberculosis and depression treatment delivered by non-specialist health workers in Nigeria

Article Title: Effectiveness of integrated tuberculosis and depression treatment led by non-specialist health workers versus standard care among persons with tuberculosis in a low-resource setting: A quasi-experimental non-randomized controlled trial

Article References: Murphy-Okpala, N., Nwafor, C., Eze, C., Njoku, M., Ezeakile, O., Meka, A., Ekeke, N., Iyama, F., Egbule, D., Anyaike, C., Chijioke-Akaniro, O., Chukwu, J., Kirubi, B., Creswell, J., & Onu, J. U. (2026). Effectiveness of integrated tuberculosis and depression treatment led by non-specialist health workers versus standard care among persons with tuberculosis in a low-resource setting: A quasi-experimental non-randomized controlled trial. PLOS Mental Health, 3(9), e0000636. https://doi.org/10.1371/journal.pmen.0000636

Image Credits: AI Generated

DOI: 10.1371/journal.pmen.0000636

Keywords: tuberculosis, depression, task sharing, non-specialist health workers, Nigeria, global health, mental health integration, PHQ-9, mhGAP, treatment adherence, low-resource settings, quasi-experimental trial

Mental health disorders represent a substantial and growing share of the global burden of disease, yet in many low- and middle-income countries the health systems responsible for detecting and treating these conditions operate largely blind. Routine health information systems, the administrative machinery through which clinics report diagnoses, cases, and service delivery to district and national authorities, are the foundation of any evidence-based response. When those systems fail to capture mental health data, planners cannot estimate need, allocate medication, deploy specialists, or evaluate interventions. The quality of routine mental health reporting has long been recognized as particularly weak in resource-constrained settings, but the question of whether internationally supported training programs improve that quality has remained poorly understood. The new study set out to answer it directly.

The research team, led by Mithun Kumar Jha and Binita Kumari Paudel of Purbanchal University School of Health Sciences, conducted an explanatory mixed-methods study in twenty-eight primary health care facilities in Parsa District in the southern plains of Nepal. Fourteen of the facilities had staff trained under mhGAP, the WHO program designed to scale up services for mental, neurological, and substance use disorders by equipping non-specialist health workers with evidence-based protocols. The other fourteen had no mhGAP training. The quantitative arm of the study involved a retrospective analysis of twelve months of routine mental health reporting data drawn from Nepal’s Health Management Information System, which runs on the open-source District Health Information Software 2 platform, or DHIS2, used by dozens of countries worldwide. The qualitative arm consisted of in-depth interviews with eleven health workers, analyzed through the Consolidated Framework for Implementation Research, a widely used implementation science framework for identifying barriers and facilitators to putting evidence-based programs into practice.

The quantitative results were unambiguous and, in places, startling. Timeliness of reporting, meaning whether facilities submitted their monthly reports on schedule, was impressively high: every single mhGAP-trained facility achieved one hundred percent timeliness, and the untrained facilities were close behind at 96.4 percent. But completeness, the proportion of expected mental health data actually reported, was zero percent in both groups. Not a single facility in either arm of the study achieved complete mental health reporting over the twelve-month period, and most facilities reported no mental health cases at all across the entire year. Accuracy fared no better. The researchers found no consistency between the paper registers kept at the facilities and the data entered into DHIS2, meaning that in none of the twenty-eight facilities could the digital record be verified against the primary source documents. Because timeliness was analyzed as a continuous indicator rather than a categorical one, the authors note it was not subjected to formal statistical comparison, but the completeness and accuracy findings alone paint a bleak picture.

Perhaps the most telling contrast in the study was between structural readiness and functional performance. The mhGAP-trained facilities did show higher structural preparedness: they had trained personnel, and presumably the nominal capacity to identify and manage priority mental health conditions under the WHO protocols. Yet this structural advantage translated into no measurable improvement in the reporting domain. Whether a facility had received mhGAP training or not, its performance in routine mental health reporting was rated as poor. The authors conclude that the facilities lack functional routine reporting systems for mental health, and that training alone, however well designed, does not create the operational machinery needed to move data from a clinic register to a national database in a complete and accurate form.

The qualitative interviews, analyzed through the CFIR lens, help explain why this gap persists. Health workers described a system in which mental health remains peripheral to everyday primary care practice, with weak integration into the regular health information workflow. Without supportive supervision to reinforce training, without system-level coordination between the mental health program and the health management information system, and without mental health indicators being genuinely embedded in routine reporting expectations, the knowledge gained in mhGAP trainings had nowhere to go. A health worker may know how to diagnose depression or psychosis using a WHO protocol, but if no one checks whether those diagnoses are recorded, if the reporting forms and DHIS2 data elements are not aligned, and if supervisors never review the mental health column of the monthly report, the diagnosis simply never enters the record.

The implications reach far beyond Parsa District. The mhGAP program has been implemented in more than a hundred countries and is the centerpiece of global efforts to address the enormous treatment gap for mental, neurological, and substance use disorders, a gap that is widest precisely in the low- and middle-income countries where specialist psychiatrists are scarce. The program’s logic is elegant: train generalist health workers to deliver evidence-based care, and specialist-level treatment can be scaled without waiting for specialists. But the Nepal study exposes a critical dependency in that logic. Care that is delivered but not recorded is invisible to the health system. It cannot be counted, funded, resupplied, or improved. If routine reporting remains at zero completeness, then even successful mhGAP implementation at the clinical level would be undetectable in national statistics, and the program’s true coverage would be unknowable.

The study also carries a broader lesson for the rapidly digitizing world of global health data. Nepal’s adoption of DHIS2 represents a significant technical achievement, and the near-perfect timeliness scores show that facilities are capable of disciplined, punctual reporting when the system demands it. The failure is therefore not one of infrastructure or motivation but of functional integration: the mental health component of the information system has not been wired into the routines, supervision structures, and accountability mechanisms that make other reporting streams work. This distinction between structural readiness and functional performance is one that implementation scientists have emphasized for years, but it is rarely quantified so starkly. A trained workforce and a functioning software platform are necessary conditions for good data, and the Nepal results demonstrate they are nowhere near sufficient.

The authors call for comprehensive system-level interventions that go well beyond training. These would include regular supportive supervision that explicitly reviews mental health reporting, coordination between the mental health program and the health management information system so that indicators, registers, and digital data elements are aligned, and genuine integration of mental health into the routine reporting expectations placed on every primary health care facility. Such measures are less glamorous than international training workshops, but the evidence suggests they are where the real work lies. Without them, the study warns, reporting performance may not improve no matter how many workers are trained.

For a world preparing to confront a mental health crisis that the burden-of-disease data only partially captures, the message from Nepal is uncomfortable but valuable. The invisible fraction of the mental health burden, the cases that never appear in any register or dashboard, may be far larger than global statistics suggest, not because the cases do not exist but because the systems meant to see them are not looking. Fixing that will require treating mental health data not as an optional add-on to primary care but as a core, supervised, and audited function of every health facility, in Nepal and in every country that hopes to close the mental health gap.

Subject of Research: Routine mental health reporting performance in primary health care facilities in Nepal and the effect of WHO mhGAP training

Article Title: Mental health reporting performance in primary health care: a comparative mixed-methods study of mhGAP-trained and untrained health facilities in Nepal

Article References: Jha, M. K., & Paudel, B. K. (2026). Mental health reporting performance in primary health care: a comparative mixed-methods study of mhGAP-trained and untrained health facilities in Nepal. BMC Health Services Research. https://doi.org/10.1186/s12913-026-15782-7

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15782-7

Keywords: mental health, mhGAP, Nepal, primary health care, DHIS2, health information systems, WHO, low- and middle-income countries, implementation science, CFIR, health services research, reporting completeness

The guideline in question is the WHO Guideline: recommendations on digital interventions for health system strengthening, known as WHO-GRDI. Released in 2019, it distils the global evidence on nine categories of digital health intervention, from birth and death notification and drug stock management to telemedicine, targeted client communication, patient tracking, health worker decision support and digital training. The problem, the researchers argue, is that guidelines like this are written for the world in general, not for any particular health system in particular. In countries where electricity is unreliable, networks drop and health workers are already stretched thin, an unadapted guideline can sit on a shelf. Guideline adaptation — a systematic, participatory process that preserves the integrity of the original recommendations while customising them for local laws, resources and culture — is widely seen as a faster and cheaper alternative to developing new guidelines from scratch, yet detailed accounts of how to do it for mental health systems have been scarce.

The team structured the entire project around the Knowledge to Action cycle, a widely used implementation science framework that moves from identifying a problem, through adapting knowledge to local context, to implementing, monitoring and sustaining change. Lagos was a deliberately pragmatic choice. The state already runs the Mental Health in Primary Care programme, or MeHPriC, which operationalises the WHO’s mhGAP strategy in 57 designated flagship primary health centres, each staffed with doctors, nurses, midwives, community health extension workers, pharmacy technicians and counsellors. MeHPriC had already demonstrated clinical and cost-effectiveness in treating depression, anxiety, substance use disorders and epilepsy, but its processes were largely manual, with only scattered use of SMS messages, WhatsApp and emergency phone lines.

The project unfolded in four phases: planning, adaptation, implementation and evaluation. In the planning phase, the researchers established a Local Steering Committee of project members and independent local experts in digital intervention, guideline development, programme implementation and qualitative research, alongside a separate Stakeholders’ Forum drawing in psychiatrists, psychologists, primary care workers, technology providers, policymakers and nongovernmental organisations. Early dissemination through existing unions of nurses, midwives, community health workers and general practitioners helped secure cooperation from the outset. Ethics approval came from both the Lagos State University Teaching Hospital and the WHO itself.

The adaptation phase began with a hard-nosed assessment of whether Lagos was even ready. The team reviewed Nigeria’s mental health law, national mental health policy, task-shifting policy and National Health ICT Strategic Framework, and mapped existing digital health projects through the WHO’s Digital Health Atlas and a Nigerian digital health dashboard. The connectivity picture was surprisingly strong: by August 2021 Nigeria had more than 188 million active mobile lines, over 140 million people accessing the internet by phone, 48 percent broadband penetration and a call setup success rate of 98.9 percent. Notably, of 12 reviewed digital health projects in Nigeria, none focused on mental health — confirming the unmet need. Five independent raters then appraised the WHO-GRDI itself using the AGREE-II instrument, the international standard for guideline quality, scoring it 79.3 percent overall, with particularly strong marks for editorial independence and clarity. An 11-member Contextualization and Adaptation Panel of mental health specialists, primary care experts, policymakers, technology providers and linguists then worked through multiple rounds of structured feedback and formal consensus to produce a locally tailored draft, which was externally reviewed by professional bodies and 60 consulted stakeholders.

The adapted guideline emerged with eight rather than nine recommendations. Birth and death notification were merged into a single recommendation, since Lagos facilities record live deliveries, stillbirths and deaths with the same staff and systems. The word telemedicine was dropped entirely as ambiguous to local workers, and health worker decision support was relabelled clinical decision support. During planning workshops, stakeholders used the Theoretical Domains Framework to surface barriers and facilitators, then ranked the recommendations using a modified Delphi technique. Five were judged feasible for a pilot within the project’s timeline: drug stock notification, client-to-health-provider communication, health worker supervision and communication, targeted client communication and clinical decision support. The rest were set aside for want of infrastructure or priority.

The pilot itself ran for three months in five randomly selected flagship primary health centres, one from each administrative district. In each clinic, 11 health workers already involved in MeHPriC received mobile phones or tablets preloaded with project materials, and 55 health workers plus five supervising mental health specialists were trained over two weeks. Evaluation used validated implementation science instruments: the Acceptability of Intervention Measure, Intervention Appropriateness Measure and Feasibility of Intervention Measure, each scored on five-point Likert scales, supplemented by a perceived effectiveness rating and the 12-item Organizational Readiness for Implementing Change scale completed by health workers and managers. Altogether, 150 clients, 50 health workers, a five-member mental health team and five health managers participated in the assessment.

The headline results were encouraging. Recommendations on drug stock notification, health worker supervision and communication, and targeted client communication scored high across the board — perceived effectiveness between 80.0 and 92.0 percent, acceptability between 80.5 and 91.0 percent, appropriateness between 84.0 and 90.0 percent and feasibility between 81.0 and 90.0 percent. Organizational readiness was uniformly high, with a mean ORIC score of 55.62 out of 60, and no significant difference between frontline workers and managers. But two recommendations fell short. Client-to-health-provider communication scored between 65.6 and 73.4 percent, and clinical decision support between 78.0 and 79.0 percent on acceptability and effectiveness. The qualitative data explain why. Workers felt that emergencies such as suicidal crises demand face-to-face contact, worried about guilt and clinical liability if a remote patient deteriorated, and resented unpaid work extending beyond their capacity. On decision support, many found the electronic mhGAP guide too prescriptive and felt that checking a device in front of a patient undermined the patient’s self-esteem and the therapeutic relationship. Practical complaints about electricity, network connectivity, device safety and the need for more training rounded out the concerns.

The authors draw three main lessons for anyone attempting similar work in a low- or middle-income country. First, robust stakeholder engagement before, during and after adaptation is essential, and existing professional networks are the most efficient conduit for it. Second, policymakers should ensure a digital strategy, supporting infrastructure, legislation, governance frameworks and training plans are in place before attempting implementation of guideline recommendations. Third, integrating new recommendations into an already functioning programme — as the team did with MeHPriC’s existing mobile phone backup — makes the manual-to-digital transition far smoother. The team has prepared evidence briefs for Lagos policymakers and plans continued policy dialogues. The study does carry limitations: Lagos is Nigeria’s most developed state, the pilot was short at three months, and not all WHO-GRDI recommendations were implemented. Still, the authors argue the work offers valuable information for adapting and implementing the WHO-GRDI and other health systems guidelines, and they call for further research embracing the views and experiences of end-users to understand the balance between the generalizability and local adaptability of health systems guidelines. An ongoing feasibility trial of the electronic mhGAP app in Nepal and Nigeria is expected to inform the next round of implementation decisions.

Subject of Research: Adaptation and pilot implementation of the WHO guideline on digital interventions for strengthening mental health systems in Lagos State, Nigeria

Article Title: Adaptation and pilot implementation of the WHO guideline on digital intervention to strengthen mental health systems in Lagos state, Nigeria

Article References: Adewuya, A. O., Abdulmalik, J., Abimbola, S., Oladipo, O. E., Dahiru, A., Shettima, F., Fasawe, A., Fahim, C., Marten, R., Yangchen, S., & Straus, S. (2026). Adaptation and pilot implementation of the WHO guideline on digital intervention to strengthen mental health systems in Lagos state, Nigeria. Health Research Policy and Systems, 24(S1), Article 74. https://doi.org/10.1186/s12961-026-01463-8

Image Credits: AI Generated

DOI: 10.1186/s12961-026-01463-8

Keywords: WHO-GRDI, digital health, mental health systems, Nigeria, Lagos, guideline adaptation, implementation science, primary health care, mHealth, mhGAP, low- and middle-income countries, health policy