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Record W1881872272 · doi:10.1684/san.2007.0088

[Individual and environmental characteristics associated with immunization of children in rural areas in Burkina Faso: a multi-level analysis].

2008· article· en· W1881872272 on OpenAlexaff
Drissa Sia, Jean‐François Kobiané, Blaise Sondo, Pierre Fournier

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyRural populationRural areaArt

Abstract

fetched live from OpenAlex

PROBLEM: National and international efforts to immunize children aim to remove barriers that hinder full vaccination programs and to reinforce factors promoting it. Despite Burkina Faso's participation in all international and sub-regional initiatives to protect mothers and children from vaccination-preventable communicable diseases, vaccination coverage there remains low and has grown irregularly, from 34.7% in 1993 to 29.3% in 1998 and 43.9% in 2003. The situation is even more critical in rural than in urban areas. OBJECTIVE: To analyze the contribution of individual and environmental characteristics associated with vaccination of children aged 12-23 months in rural areas in Burkina Faso. Study population and methods. Data from the 1998 DHS (Demographic and Health Survey) and the 1997 Health Ministry Statistical Yearbook were used with a multi-level approach. Analysis distinguished two levels corresponding to the data's hierarchical structure: characteristics of children and their family's environment (level 1) and the health system and social environment (level 2). The study included 805 children aged 12 to 23 months, living in 44 health districts. The dependent variable was the child's vaccination status and is dichotomous (completely vaccinated or not). Completely vaccinated children are those who have received the BCG, the three doses of DTCoq, oral polio, measles and yellow fever vaccines, according to either their vaccination cards or their mothers' statement. RESULTS: The likelihood of vaccination increased with the level of household wealth (OR [well-off/poor]=1.88; [CI: 1.15-3.06] and was strongly associated with use of health services (OR [Prenatal care and assisted delivery/none of these services]=5.64; [CI: 3.16-10.05]). Nevertheless, these 2 variables did not alone explain the differences in vaccination observed between districts. More than 37% of the variation for vaccination completeness can be attributed to differences between health districts. Resources appear to play a minor role but a 1% increase in the proportion of educated women in the district increased the odds of complete vaccination by a factor of 1.14 [CI: 1.01-1.27]. Discussion. Despite universal access to free vaccination, children from poor households are less likely to receive all their vaccines than children from well-off households. This is probably due to indirect costs that stem from vaccination; the financial barrier remains one of the most significant factors preventing complete vaccination. Previous utilization of prenatal care and institutional delivery is more related to dynamics or even interaction between individuals and the health system. In addition to their direct effects, the interrelation between population and health systems may constitute a vaccination culture that may play a major role in explaining vaccination completeness. The resources of the health system bear little relation to vaccination. They are necessary but not sufficient for good health services. The organizational dynamic of health teams, the leadership of health district supervisors and staff motivation are key elements in these processes but were not measured in this study. CONCLUSION: Adding resources to vaccination programs is always a challenge for a number of national healthcare systems. It is not, however, the only key to success. The organization of healthcare systems and the contacts and relationships they establish with their populations appear to be determinant. The local vaccination culture that results from this interaction may be a key to explaining the variations observed between the different health districts.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.221
Teacher spread0.199 · 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 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".

Quick stats

Citations22
Published2008
Admission routes1
Has abstractyes

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