Wellness Data Compact
Nigeria Academic Workforce Health Intelligence · Powered by Doktorconnect CWF
SIMULATED DATASET · YEAR 5 PROJECTION
What This Dataset Looks Like at Scale
Nigeria's First
Academic Workforce Health Intelligence
After 5 years of operation across 271 institutions, the College Wellness Fund generates an unprecedented longitudinal health dataset on Nigeria's academic workforce — a national policy asset, research gold, and commercial opportunity.
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Staff Profiles
Anonymous, aggregated
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Institutions
All 6 geopolitical zones
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Annual Screenings
Longitudinal dataset
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Data Points / Staff
Vitals, biometrics, lifestyle
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Years Longitudinal
Before/after analysis
The Evidence Base Behind This Dataset — Five Peer-Reviewed Layers
Layer 1 · Mortality
84 + 60
ASUU-confirmed deaths across two 3-month periods: 60 deaths (Nov 2023–Feb 2024) + 84 deaths (May–Aug 2024). Annualised: 280–336 deaths/yr. Source: ASUU President Osodeke, Channels TV Oct 2024; ASUU National Statement Feb 2024.
Layer 2 · Clinical NCD Burden
27.8% undiagnosed HTN
Vincent-Onabajo et al. (2016). Also: 40% HTN at FUNAAB (Akinpelu 2023); 37.1% HTN among Nigerian HCWs (Frontiers PH 2024); only 19.9% know heart disease risk factors (LAUTECH PMC 2015).
Layer 3 · Mental Health
Stress → CVD
Significant positive correlation between perceived stress, anxiety and depression in SW Nigerian university staff. Cardiac family history predicts depression. Occupational burnout documented nationally. Source: PLOS Mental Health, 2025.
Layer 4 · NCD Transition
+21.3% DALYs
NCD-attributable DALYs rose 21.3% (2010–2019), 15% faster than WHO W.Africa projections. CVD = 11% of all-cause national mortality. Nigeria 6th in W.Africa for age-standardised mortality. Source: Springer Nature 2026; Lancet GBD 2022.
Layer 5 · Brain Drain
1.83 / 1,000
Skilled health workers per 1,000 population — less than half WHO minimum (4.45). 13,609 Nigerian HCWs granted UK work visas in 2021. "Japa" driven by health insecurity, inadequate remuneration. Source: Lancet 2024; World Bank 2024.
Condition Prevalence — Academic Workforce
Anonymous population-level data · All 271 institutions
YEAR 5 DATA
Data modelled from peer-reviewed Nigerian university staff studies: Vincent-Onabajo et al. (2016); Akinpelu et al. (2023); Frontiers in Public Health (2024); LAUTECH PMC (2015); PLOS Mental Health (2025)
5-Year Outcomes: Before vs After CWF
Uncontrolled hypertension · % of enrolled staff
Undetected / Unmanaged Managed via CWF Pathway
Condition Prevalence by Geopolitical Zone
Relative burden of hypertension, diabetes, mental health flags
POLICY INSIGHT
Hypertension Diabetes Mental Health No Condition
Policy Intelligence Applications
Stakeholders empowered by this dataset
Stakeholder Application Impact
TETFund Wellness ROI reporting vs TISSF loan demand HIGH
FMOH / NHIA NCD burden in academic sector; co-funding case HIGH
NMA / NHREC Occupational health policy for educators MED
Insurers Group health product underwriting data UNLOCK
Universities Research partnerships, staff welfare benchmarking MED
International Donors Evidence base for global academic workforce grants UNLOCK
Commercial Value of the Data Compact
Revenue streams enabled by the dataset
DOKTORCONNECT ASSET
Insurance Underwriting
₦2B+/yr
Actuarial data for group health products tailored to academic workforce. Licensing model.
Research Licensing
₦500M+/yr
Anonymised dataset licensed to research institutions and international health organisations.
NHIA Co-Funding
TBC
CWF screening as NHIA onboarding health assessment. Unlocks government co-funding from Year 3.
Platform Fee Revenue
₦600M/yr
₦2,000/staff/year platform fee × 300,000 enrolled staff. Doktorconnect's core sustainability model.
BEHAVIOURAL READINESS INTELLIGENCE · READY MINDSET MQ ASSESSMENT
What is stopping Nigeria's academic workforce from acting on their clinical results
WORLD FIRST · 56-PROFILE MATRIX

The MQ Assessment — a 40-question psychometric instrument grounded in CBT, Post-Traumatic Growth Theory, and Attachment Theory — runs alongside every annual CWF screening. It diagnoses the 8 psychological barriers preventing each staff member from acting on their clinical results. At population level, it generates Nigeria's first Institutional Barrier Heatmap — showing which barriers are most prevalent by institution, department, and geopolitical zone.

Top Barriers by Geopolitical Zone — % of Staff Scoring High (Year 5 Projection)
The 8 Barriers — National Prevalence Ranking (All 271 Institutions)
Why This Changes Everything

Every other wellness programme knows what is clinically wrong. CWF is the only programme that also knows why staff can't change it. A staff member with hypertension and an active Capacity Gap barrier needs one small action — not a 12-point lifestyle plan. Without the MQ Assessment, the 12-point plan is prescribed, ignored, and the hypertension worsens.

The 56-Profile Combination Matrix

The primary scientific innovation is not the 8 individual barriers but the 56 possible three-barrier convergences (C(8,3) = 56). Each profile has a proprietary name, clinical description, characteristic internal monologue, breakthrough insight, and first-tool assignment. This is a novel scientific contribution with no precedent in published occupational health literature.

56 profiles · 8 barriers · 1 precision pathway per profile · Powered by The Ready Mindset
Projected TISSF Medical Loan Demand Reduction — Year-by-Year
As CWF enrollment grows, TISSF medical loan applications decline. Both funds are stronger together.
SYNERGY METRIC
Baseline
0%
Pre-CWF
Year 1
3%
Pilot impact
Year 2
9%
Expansion begins
Year 3
18%
Nationwide scale
Year 4
26%
Maturing impact
Year 5
35%
Target achieved
Key insight: A 35% reduction in TISSF medical loan applications by Year 5 preserves an estimated ₦18-22B in TISSF capital for housing, SME development, and academic advancement — making BOTH programmes stronger together.
International Funding Pipeline: World Bank Concept Note (Fit to Prosper / MPA · launched Accra May 2026) · Wellcome Discovery Award LOI (LMIC Track · £2.8M · Nigerian university co-applicant being finalised) · NHIA Integration Pathway (co-funding from Year 3) · LifePro Certified Provider Network across all 6 geopolitical zones · Tiered IGR model: Tier 1 universities ₦50–67M/yr · Tier 2 ₦25–45M/yr · Tier 3 budget-absorption