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Record W4417015853 · doi:10.1182/blood-2025-4370

Community health worker training for sickle cell disease education in the consortium for newborn screening in Africa

2025· article· en· W4417015853 on OpenAlexaff
Bernard Awuonda, Livingstone Gayus Dogara, Tracy Kobukindo, Obiageli Nnodu, Andrew Zapfel, Marie Benoit, Isaac Odame, Nancy Green, Venée N. Tubman

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsNewborn screeningCommunity health workersDiseaseIntervention (counseling)HemoglobinopathyCommunity healthHealth carePublic healthSickle cell anemia

Abstract

fetched live from OpenAlex

Abstract Sub-Saharan Africa bears more than 75% of the global burden of sickle cell disease (SCD), where limited newborn screening, diagnostic programs, and health care services result in high early childhood mortality. To address this challenge, the American Society of Hematology (ASH) established the Consortium on Newborn Screening in Africa (CONSA) to demonstrate the benefits of newborn hemoglobinopathy screening and early, continuous clinical intervention for babies diagnosed with SCD. CONSA is comprised of nine clinical sites in seven countries: Ghana, Liberia, Nigeria, Kenya, Tanzania, Uganda and Zambia. To date, results from 158,736 screened babies revealed 2201 (1.39%), with SCD, 25,708 (16.20%) with S and 2531 (1.59%) C trait, and 1814 (1.14%) with another variant. Of those diagnosed with SCD, only 44% have returned to CONSA sites for an initial clinical visit. To promote linkage to follow-up and clinical care, improve access to evidence-based interventions, and monitor health of children diagnosed with SCD, CONSA aims to deploy Community Health Workers (CHWs). Here we describe the approach and initial training of CHWs to perform the roles described above. Each country in CONSA has an existing national policy framework which establishes CHWs as community-based components of the health system, including their expected roles and responsibilities. Incorporation of SCD support within the sites' existing CHWs networks aims to aid program success and sustainability. To accommodate variability in the level of prior training among CHWs across sites, CONSA defined a minimum skill set required for participation in CONSA training. To implement this initiative, we developed a two-day training curriculum, including a guide to help facilitators train CHWs across various CONSA sites. The facilitator guides include key information on symptoms, home care interventions and available facility based treatment for SCD, along with key messages for community health education, strategies for counselling, and guided materials/exercises to enhance learning. Facilitators trained CHWs to support children who have not attended clinical visits, to conduct health education to reduce stigma around SCD in the community, and to promote newborn screening. We developed job aids for use in health education and counselling in the community, as well as pocket-sized guides translated into their local languages. A knowledge assessment was administered before and after all trainings to measure impact of the training. During Kenya’s initial site training, 81 CHWs were trained (61 (76%) female), of whom 63 (78%) had no prior dedicated training on SCD. Across the cohort, the most common age category was 40-49 years and the most common level of education was secondary school. The pre- and post-training knowledge assessments were completed by 72 (89%) participants, and 9 completed only the pre-test or post-test. The mean pre-test score was 71% (range: 25-95%) and post-test improved to 85% (range: 37-100%), with a mean change of 15% (P<0.01). Among CHWs, community health practitioners with secondary education had the greatest degree of test improvement compared to CHWs with other levels of education. On the pre-test, the most frequently missed question was related to interventions that improve health outcomes for persons with SCD. The areas with the most significant knowledge gain were the early signs and symptoms of SCD, danger signs in SCD, and the role of the CHW in the prevention of SCD complications. On both the pre- and post-tests, a majority of participants correctly addressed common misconceptions about SCD. A second training was held in Kaduna, Nigeria, we trained an additional 12 CHWs. All participants had a diploma as their highest level of education and had previously participated in some training on SCD. Pre- and post-training knowledge assessments were completed by all participants. Over the training, the knowledge assessment scores increased by 7% on average (pre-test: mean 90%, range: 83-100%; post-test: mean 98%, range: 94-100%; P<0.01). Analysis of those knowledge tests are ongoing.The CHW Initiative successfully enhanced knowledge of SCD diagnosis and care and prepared CHWs to be key partners in strengthening retention in care for children living with SCD. Trainings are now being implemented across all CONSA sites. We will evaluate the impact of CHWs trained in SCD on improving the attendance of affected babies at follow-up for clinical care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.002

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 head0.044
GPT teacher head0.339
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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