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Enregistrement W4414752292 · doi:10.1186/s12913-025-13475-1

Advocacy to action for cervical cancer elimination in the state of Assam: a narrative review of the government policies and the latest report of NCDIR survey

2025· review· en· W4414752292 sur OpenAlexaboutno aff
Debabrata Barmon, Anita Nath, Aparajita Aparajita, Jagannath Dev Sharma, Ravi Kannan, Mohammad Shah Alam, Adity Sharma

Notice bibliographique

RevueBMC Health Services Research · 2025
Typereview
Langueen
DomaineMedicine
ThématiqueAdvances in Oncology and Radiotherapy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCervical cancerGovernment (linguistics)Health careNursing researchQuarter (Canadian coin)CancerPublic healthCancer screeningCall to action

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Assam is the state of north-eastern region of India and is called the 'cancer capital' of the country. There have been accelerated developments in the field of cancer care in the state of Assam in recent times. Though the highest burden of cervical cancer is found in the northeast region, no government- initiated specific programme for cervical cancer elimination has been developed. The strategies implemented at various health care level is mostly derived from the 'umbrella' initiatives of NPCDCS. Due to unique cervical cancer profile of the state, there is a need to fill in the data gaps that needs to be investigated and reported and possible solutions should be outlined to optimise the continuum of care. AIMS AND OBJECTIVES: In this article, we have reviewed the government policies related to cervical cancer and their implementation at various level of health care system of Assam. Primary objective was to report the gap existing for implementation of cervical cancer prevention and treatment strategies in the state of Assam and secondary objective was to outline possible interventions to optimize the delivery of cervical cancer screening. METHODOLOGY: The relevant articles related to government policies were searched on electronic database including Pubmed, national and state-level government websites on health welfare programmes and reports of NCDIR. The data for quantification of gap in cervical cancer services and awareness was extracted from the NCDIR survey conducted as a part of cancer research in the North East Region (CaRes NER), a multidisciplinary programme for preventing and controlling cancer in the north-eastern states run by ICMR-NCDIR, Bengaluru. RESULTS: Timeline of development in the field of cancer care has been summarised in this review under the headings of government initiatives so far for cancer care and its reflection in Assam, call for cervical cancer elimination and its implications in Assam, the current situation in the state of Assam, recent developments in cancer care field in Assam. The quantification of the gaps in cervical cancer care in the state of Assam is based on data from NCDIR survey. Among 2,817 respondents, fewer than a quarter were aware of cancer screening for major cancers, with no specific data available on awareness of cervical cancer. The majority of respondents reported learning about cancer through media or friends and family, while health awareness camps contributed minimally. Only 0.8% were aware of the HPV vaccine, and 0.2% expressed hesitation in discussing cancer. Notably, none of the respondents had undergone cervical cancer screening by any method. In terms of healthcare infrastructure, less than 10% of surveyed Primary Health Centers (PHCs) and none of the Community Health Centers (CHCs) or District Hospitals provided cancer screening services. Fewer than a quarter of PHCs had counseling services for risk behavior, provided by counselors or specialized personnel. Among the medical officers at PHCs, 38.5% had received training under NPCDCS, NHM, or other state-level non-communicable disease (NCD) programs. Gynecologists were available in approximately half of the CHCs and over 80% of district hospitals. However, over 90% of PHCs reported a shortage of laboratory facilities for cancer detection. Regarding HPV vaccination, none of the CHCs offered the service, while it was available in 14.3% of district hospitals and 20.0% of private health facilities CONCLUSION: The key findings of this review and the proposed corrective steps in this paper can be implemented in systematic manner to optimise the delivery of cancer care services and improve the outcomes.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,034

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,022
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,008
Études des sciences et des technologies0,0010,001
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,134
Tête enseignante GPT0,599
Écart entre enseignants0,464 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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