Barriers to effective uptake of malaria prevention interventions in Ibadan, South West Nigeria: a qualitative study
Bibliographic record
Abstract
Background: Although control measures have achieved considerable success, malaria is still a major public health problem in Nigeria and sub-Saharan Africa. The malaria burden is more among vulnerable groups like pregnant women and under-five aged children. This study explored barriers affecting uptake of current malaria prevention interventions in Ibadan, Southwest Nigeria.Methods: The study was conducted using qualitative research methods between May and August 2016 among community residents in Ibadan, Oyo state-Nigeria. Six focus group discussions (FGDs) and 16 in-depth interviews (IDI) were conducted with community members who were purposively selected and consented to participate in the study. The participants were grouped into six homogenous focus groups which included; pregnant women, mothers of under-five children, husbands, fathers, civil society members, and health staff such as hospital manager, nurses, pharmacist, medicine vendors, doctors, state program staff and national program staff. Data were transcribed, manually coded and analysed using content and thematic method. The Biomedical Research Ethics Committee (BREC), University of KwaZulu-Natal, South Africa and Oyo state Ministry of Health Ethics Committee, Nigeria both approved the study.Results: Knowledge on malaria causality and symptoms, prevention strategies, beliefs, fear of side effects from current malaria preventive measures, corruption and difficulty in obtaining nets, and poor environmental hygiene were some of the themes which emerged as barriers to the effective uptake of malaria prevention intervention.Conclusions: Strategies at the community level are urgently needed to address and improve within socio-cultural context uptake of current malaria prevention interventions.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".