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Record W3175283375

Role of the National Cancer Control Program in Developing Healthy Policies and Creating Supportive Environments for Cancer Prevention in Cameroon (2004-2019)

2021· article· en· W3175283375 on OpenAlexaboutno aff
Abenwie Suh Nchang, Tatiana Mossus, Etienne Okobalemba Atenguena, D V Edo'o, H Jim Nemy, Paul Ndom, MJ Essi

Bibliographic record

VenueHealth sciences and disease · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecologyHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

RESUME Objectif. Evaluer les activites du Programme National de Lutte contre le Cancer (PNLCa), en rapport avec l’elaboration de politiques saines et la creation d'environnements favorables a la prevention et a la lutte contre la maladie au Cameroun. Population et methodes. Une analyse des politiques de lutte contre le cancer mises en place de 2004 a 2019 a ete menee au PNLCa, par l’approche d'evaluation qualitative mixte conformement a la Charte d'Ottawa de la promotion de la sante. Resultats Des politiques saines de lutte contre le cancer existent au Cameroun, mais leur mise en œuvre par le PNLCa est peu efficace. Aussi, le pays ne dispose ni d'une strategie nationale de prevention du cancer integrant des approches de promotion de la sante, ni de directives nationales coordonnees dans le cadre des Maladies Non Transmissibles (MNT) ou de plan de communication integre sur les facteurs de risque modifiables de cancers et autres MNT. Toutefois, quelques activites importantes favorables a la prevention de la maladie ont ete menees. Ainsi les activites de prevention sont axees sur le depistage, sur l'evitement des facteurs de risque ou l'identification precoce des symptomes de la maladie. En outre, aucun plan de gestion precis reliant toute femme diagnostiquee avec des lesions precancereuses a un traitement et un suivi rapide n’a ete mis en place. Conclusion. Il est necessaire de revoir d'inclure une strategie efficace de prevention du cancer qui integre les approches de promotion de la sante inscrites dans la charte d'Ottawa.ABSTRACTObjective. This study evaluated the activities of the National Cancer Control Program (NCCP) in creating healthy policies and supportive environments for cancer prevention and control in Cameroon. Population and Methods. A health policy analysis was conducted at the NCCP, using a mixed qualitative evaluation approach. Cancer control policies and health promotion events of the NCCP from 2004 - 2019 were evaluated with reference to the Ottawa Charter of health promotion. Results Several healthy policies for cancer control exist in Cameroon, but NCCP doesn’t contribute to the development and /or implementation of these policies. A few significant activities have been done by the NCCP in creating supportive environments for cancer prevention. However, Cameroon does not have an effective national strategy for cancer prevention that integrates health promotion approaches, with no coordinated national guidelines within the framework of Non communicable diseases (NCDs) and no Integrated Communication Plan on modifiable risk factors for cancers and other NCDs. As such preventive activities are focused on screening, with little or no awareness campaigns on risk factor avoidance (health enhancement and cessation education) or early identification of disease symptom, and with no clear management plan to link all women diagnosed with precancerous lesions to timely treatment and follow up. Conclusion. There is need to review policies of the NCCP in Cameroon, and to include an effective cancer prevention strategy which fully integrates health promotion approaches as enshrined in the Ottawa charter of health promotion.

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)0.001
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 score0.108
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.040
GPT teacher head0.385
Teacher spread0.345 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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