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Record W2994005206

Malaria in Under Five Children and Help Seeking Behavior of Mothers in Calabar, Nigeria

2013· article· en· W2994005206 on OpenAlexaboutno aff
Beatrice E. Hogan, Anthonia Adindu

Bibliographic record

VenueJournals & Books Hosting (International Knowledge Sharing Platform) · 2013
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
Fundersnot available
KeywordsMalariaMedicineChristian ministryPopulationPublic healthEnvironmental healthOutpatient clinicInfant mortalityQuarter (Canadian coin)Community healthDemographyPediatricsGeographyNursingPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Malaria is a serious public health problem worldwide, yet preventable and treatable. However, in 2010 the disease killed an estimated 660, 000 people largely children under five years in sub-Saharan Africa; the Republic of Congo and Nigeria account for more than 40% of estimated global malaria deaths (WHO, 2013). Federal Ministry of Health (FMOH) reports Nigeria accounts for one quarter of all malaria cases in Africa, one of the world’s highest rates of all cause -mortality for children under five, and about one in six children die before their fifth birthday (FMOH, 2012). In Cross River State under five mortality of 176 per 1000 births and infant mortality of 120 per 1000 births, placing Cross River among those with the highest child deaths in the country( State Ministry of Health, 2010), and malaria prevalence of 19.8% (National Population Commission, 2009). Hence, the malaria control targets include 100% children under five years and pregnant women to use mosquito nets by 2015 (Community Health Department, 2013). Objective of the study was to determine help seeking behavior of mothers with children less than five years, and factors that influenced behavior. We randomly selected six primary health facilities out of 41, and administered a structured questionnaire to four hundred (400) women who brought their sick children to outpatient department of selected health facilities, and gave oral informed consent. State Ministry of Health gave ethical clearance for access to community and health facilities. Most, 370 (93%) respondents completed the questionnaire, 37% were married, 50% had primary education, 26% secondary, and 10% tertiary, 42% were homemakers, 31% 19 -23 years, and 54% of children were within one year. Many respondents 46% brought babies to health facility due to fever, and 32.4% said child had fever for over a week, yet 39.0% gave fever as symptom of malaria and 39.4% mosquito bite. Most 96% had heard of malaria largely from electronic media 40.5% and parents 32.4%. However, despite knowledge about malaria, 35% gave tepid sponging, 31% herbal enema, 27% gave baby left over drugs; 40% said treatment at home lasted 4 to 6 days and 12% more than a week. Home intervention led to child’s illness worsening 40%, and improved 38%. Respondents delayed taking children to hospital because they had no time 35.1%, husband was not at home 30%, had no money 22.7%, had no transport 6.2% and customary to first treat at home 6.0%. Furthermore, 52.4% said hospital was too far from residence and 14.0% no hospital in locality, 64.5% said father was responsible for child’s treatment. Cost of care 47.5%, transportation 32.7%, waiting time 10.0% and lack of time 9.2% were major factors affecting help seeking. This study shows that significant relationship exists between mother’s health seeking behavior and outcome of child’s illness. Further, suggests as global and national efforts continue, the role of fathers in reducing morbidity and mortality among infants requires considerable attention, particularly in patriarchal traditional societies, where mothers depend on decisions of husbands to seek help for the child. Key words: Malaria, Children and Malaria, Help Seeking Behavior of Mothers.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.308
Teacher spread0.283 · 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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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