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Record W6888703973 · doi:10.22004/ag.econ.358575

Contribution of International Nongovernmental Organisations Towards Sustainable Health Promotion in the Northern Region of Ghana

2003· other· en· W6888703973 on OpenAlexaboutno aff

Bibliographic record

VenueAgEcon Search (University of Minnesota, USA) · 2003
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionAgency (philosophy)Health policyInternational healthPublic healthInternational developmentPromotion (chess)Sustainable development

Abstract

fetched live from OpenAlex

The study assessed the contribution of international NGOs towards sustainable health promotion in the Northern Region. It has also investigated the level of collaboration and networking among the international NGOs working in the health sector in the Northern Region as well as the key intervention areas of the International NGOs health programmes and the problems affecting their health programmes implementation among others. The Northern Region is plagued with a myriad of health hazards such as Guinea Worm, upper respiratory tract diseases, diarrhoeal diseases and malaria among others. Malaria has been the number one killer disease and the most prevalent in the region. Another major problem of health in the region is malnutrition, which contributes greatly to infant mortality. Consequently, there have been several attempts, initiatives and collaborative efforts of NGOs in the past decade toward health promotion in the Northern Region. The literature on health promotion in the Northern Region showed that the private sector especially the Mission and NGOs are more innovative in providing health services with community involvement. Both primary data comprising field survey (Questionnaire and key informants interviews) and secondary data principally obtained from reviews of the annual reports of the studied NGOs were employed to investigate the set objectives of the study. Six randomly selected international NGOs operating in the health sector of the Northern Region namely, Action Aid Ghana, World Vision, Action for Disability and Development, Planned Parenthood Association of Ghana, Christian Children's Fund of Canada and Adventist Development and Relief Agency were studied. Data collected were analysed with the aid of computer based spreadsheet programme (EXCEL) The study revealed that the selected NGOs are contributing greatly to health promotion in the region especially in the areas of HIV/AIDS prevention, Malaria Prevention, Nutrition, Provision of Potable Water and Sanitation education and logistical support to rural clinics. However, ethnic conflict, was found to be the most significant among the problems that affect effective implementation of their programmes in the Northern Region. The study discovered that there is a struggle for power and competition among the NGOs , unclear roles of NGOs, no networking of the health programmes among the international NGOs and no co-ordination of NGO activities in the region. However, all the NGO embraced the idea of Networking as a tool for sustainable health promotion. Based on the findings, the following policy recommendations were made among others: The Northern Regional Coordinating Council should coordinate the activities of NGOs in the Northern Region to avoid duplication of efforts. NGOs, should network their health programmes and activities and strengthen the collaboration among themselves and the Ministry of Health. Besides beneficiary communities of health programmes should be involved in the problem identification, planning, implementation and monitoring and evaluation of health programmes.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.256
Teacher spread0.233 · 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
Published2003
Admission routes1
Has abstractyes

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