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Enregistrement W4415200663 · doi:10.1016/j.lanprc.2025.100031

Clinical effectiveness and cost-effectiveness of the Needs Assessment Tool-Cancer in primary care (CANAssess2): a pragmatic, cluster-randomised, controlled trial

2025· article· en· W4415200663 sur OpenAlexaboutno aff
Miriam J. Johnson, Alexandra Wright‐Hughes, Emma McNaught, Alice Hankin, Joseph Clark, Terry McCormack, Jon M Dickson, Robbie Foy, Scott Wilkes, David Meads, John O’Dwyer, Sonya Begum, Flavia Swan, Florence Day, Amanda Farrin, Alice Hankin, John Blenkinsopp, F Conneh, Katie Whitehead, Mishell Cunningham, Samia Mujahid, Carol Singleton, Annie S. K. Jones, Bethan Copsey, Laura Marsden, Suzanne Hartley, Petra Bijsterveld, Jamie Metherell, Lucy Sheehan, Julia Burrows, Lucia Crowther

Notice bibliographique

RevueThe Lancet Primary Care · 2025
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealth Systems, Economic Evaluations, Quality of Life
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of LeedsYorkshire Cancer ResearchUniversity of Hull
Mots-clésTriageRandomized controlled trialNeeds assessmentIntervention (counseling)Palliative carePrimary careClinical trialClinical effectivenessMEDLINE

Résumé

récupéré en direct d'OpenAlex

Background The Needs Assessment Tool-Cancer (NAT-C) is a consultation guide to identify and triage patients' and carers' cancer-related unmet needs, but its effectiveness in primary care is unknown. We aimed to evaluate the clinical effectiveness and cost-effectiveness of the NAT-C in reducing patient unmet needs and reducing carer burden in primary care. Methods The Cancer Patients' Needs Assessment in Primary Care (CANAssess2) trial was a pragmatic, cluster-randomised, controlled trial of the NAT-C versus usual care in patients aged 18 years and older with active cancer (ie, receiving anticancer treatment with curative or palliative intent; managed with a watch and wait approach; or with recurrent or metastatic disease), conducted across northeast England and Yorkshire. Eligible general practices (clusters) were willing to be trained and deliver the NAT-C for recruited patients if so allocated, were willing to commit to trial procedures, and gave written informed practice-level consent. Practices were randomly assigned (1:1) to deliver the NAT-C intervention or usual care alone by use of minimisation incorporating a random element to ensure treatment groups were well balanced for patient list size, locality, and training centre status. Patients and carers (family or friend nominated by patient) consented to complete follow-up questionnaires at baseline, 1 month, 3 months, and 6 months and attend a NAT-C appointment if registered with an intervention practice. The primary outcome was at least one moderate-to-severe unmet need at 3 months (according to the Supportive Care Needs Survey-Short Form 34 [SCNS-SF34]). Secondary outcomes included at least one moderate-to-severe unmet need at 1 month and 6 months, level of unmet needs (SCNS-SF34 score), symptoms (Revised Edmonton Symptom Assessment System [ESAS-r]), mood and quality of life (EQ-5D-5L and European Organisation for Research and Treatment of Cancer Quality of Life-C15-Palliative questionnaire [EORTC QLQ-C15-PAL]), performance status (Australia-modified Karnofsky Performance Score), carers' ability to care, and carer wellbeing, at all timepoints. Primary effectiveness analyses were done in all participants with at least one post-baseline measurement (at either 1, 3, or 6 months) according to modified intention-to-treat principles. The original sample size target of 1080 participants across 54 practices was reduced in a protocol amendment to 950 across at least 38 practices due to recruitment challenges and improved retention. The trial is registered with ISRCTN, ISRCTN15497400. Findings Between Oct 21, 2020, and April 12, 2023, of 65 general practices screened, 41 (63%) were randomly assigned: 21 (51%) to NAT-C and 20 (49%) to usual care. Between Dec 1, 2020, and Aug 30, 2023, 788 participants (mean age 66·9 years, SD 10·9; 404 [51%] female and 384 [49%] male) were enrolled: 376 (48%) in the NAT-C group and 412 (52%) in the usual care group. 427 (54%) of 788 participants identified a potentially eligible carer, and a carer was recruited alongside 249 (32%) participants. Follow-up was completed on Jan 19, 2024. For the 3-month primary outcome, 149 (46%) of 321 participants in the NAT-C group and 173 (48%) of 364 participants in the usual care group reported at least one moderate-to-severe unmet need (odds ratio [OR] 0·98 [95% CI 0·63 to 1·53]; p=0·94; intracluster correlation coefficient 0·067). There was no evidence of benefit for any clinical effectiveness outcomes at 1 month or 3 months. However, at 6 months we found evidence that the NAT-C was superior to usual care at reducing the level of unmet need (mean difference –3·57, 95% CI –6·57 to –0·58; p=0·020; predominantly psychological and physical needs). There was also evidence of benefit in the NAT-C group on 6-month symptoms (ESAS-r mean difference –2·98, 95% CI –5·35 to –0·61; p=0·014) and mood and quality of life (mean difference in EORTC QLQ-C15-PAL domains of overall quality of life 3·97, 1·03 to 6·91, p=0·0082; pain –3·81, –7·26 to –0·35, p=0·031; appetite loss –4·02, –7·31 to –0·72, p=0·017; emotional functioning 3·54, 0·21 to 6·87, p=0·037). There was weak evidence of benefit for the 6-month outcome of at least one moderate-to-severe unmet need (OR 0·66, 95% CI 0·42 to 1·04; p=0·075), but no evidence of benefit on performance status (mean difference –0·02, –2·22 to 2·17; p=0·98), carers' ability to care (–0·06, –4·21 to 4·09; p=0·98), or wellbeing (0·00, –1·90 to 1·90; p=0·99). Interpretation We found no evidence of benefit of the NAT-C versus usual care at the 3-month primary endpoint timepoint. However, our data suggest potential benefits for patients at 6 months, although future studies with longer follow-up are needed to clarify these findings. Funding Yorkshire Cancer Research.

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)0,015
score de la tête « metaresearch » (Gemma)0,026
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,077

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,026
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0070,006
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,003
Communication savante0,0020,003
Science ouverte0,0020,002
Intégrité de la recherche0,0050,004
Charge utile insuffisante (le modèle a refusé de juger)0,0110,001

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 Opus0,119
Tête enseignante GPT0,442
Écart entre enseignants0,323 · 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'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

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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