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Record W4415579889 · doi:10.1093/eurpub/ckaf161.1488

A sustainable social business model for achieving universal health coverage

2025· article· en· W4415579889 on OpenAlexaff
M. A. Wahab, Logan Ansell, Edward Booty

Bibliographic record

VenueEuropean Journal of Public Health · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsReach Technologies (Canada)
Fundersnot available
KeywordsUniversal designRevenueEquity (law)Business modelPopulation healthPopulationHealth careeHealthSocial determinants of health

Abstract

fetched live from OpenAlex

Abstract Issue Over 52% of the global population lack access to essential health services. This is disproportionately prevalent in low- and middle-income countries (LMICs) where underserved rural populations face geographical isolation, poor infrastructure, low & consistent incomes, and a shortage of healthcare manpower. To address this, reach52 utilises two interdependent approaches: (1) conducting public health campaigns (PHCs) supported by empowered community health workers (CHWs), in collaboration with local partners, and using an eHealth platform to execute and monitor outcomes, and (2) offers high-quality, low-cost generic medicine - bridging drug access gaps left by profit-driven producers. Description of the problem Globally, more than 52% of the population lacks access to essential health services, and over 2 billion do not have access to essential medicines. In India, reputable studies have reported that there is a USD$13.2 billion financial shortfall to achieve universal health coverage (UHC) - there is a need for financially sustainable solutions to improve health equity and outcomes. In 2024, reach52 operated across 12 states in India where it ran PHCs, trained CHWs, and distributed up to 52 generic medicines through over 269 distributors to over 30,000 pharmacy and physician sites across the country. Reach52 also reinvested 100% of its surplus revenue back into its business to run PHCs and maximise long-term societal impact. Results In 2024, funded through its sustainable social business model and in collaboration with local partners, reach52 trained over 120 CHWs, facilitated over 100,000 health education, screening, and clinic events with local partners, reaching over 4.9 million residents in India. Reach52 also provided affordable medicines to over 3 million rural residents. Reach52 plans to further scale this social business model through partnerships and contracting of in-country implementors, with a focus on expanding across 25 countries in Africa in 2025. Key messages • Reach52 presents a sustainable model for achieving universal health coverage. • Training community health workers instead of directly providing services empowers communities to improve their health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.279
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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