Health Literacy: Intervention and Outcome in Child Healthcare in Bangladesh
Bibliographic record
Abstract
Bangladesh made significant improvements in child healthcare and achieved its Millennium Development Goal (MDG) 4 (to reduce child mortality). In 2010, the United Nations recognized Bangladesh for its exceptional progress towards MDG 4 to reduce child and maternal mortality in the face of many socioeconomic challenges. We are also committed to achieve our Sustainable Development Goal (SDG) by 2030. Health education department of Government of Bangladesh prioritized several essential health interventions over the past decades. There were focuses on expanding immunization, tackling diarrhoea and pneumonia, vitamin A campaign, prevention of blindness, iodine deficiency, and improving adolescent health. These programmes and strategies were scaled-up nationwide. The government along with its stakeholders promoted widespread availability and affordability of those health literacy interventions with an emphasis on community-based approaches. As a result, inequities in coverage of specific interventions declined; this may explain the improvements seen amongst even the most disadvantaged populations of the country. Media campaigns played a great role, which were undertaken in Bangladesh for decades and involved a nationally broadcast television supported by radio, television, newspaper, and billboard advertisements and local promotion activities. We expect that ongoing public private partnerships (PPPs) in which the government contracts NGOs and the private sector will enable us greater success and coverage of health information and literacy services throughout the country.
 CBMJ 2023 January: Vol. 12 No. 01 P: 124-128
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".