Evidence map›Paper›PMID 41721864›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Unmet informational needs of patients with cancer: do clinicians know which patients are in need?

Andrea Bonacchi, Francesca Chiesi, Carlotta Tagliaferro, Guido Miccinesi

Abstract readMulticenter Study
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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Andrea BonacchiCentro Studi e Ricerca Synthesis, Associazione di Promozione Sociale Sul Sentiero, Florence, Italy. andreabonacchi2016@gmail.com.ORCID http://orcid.org/0000-0003-4703-4067
Francesca ChiesiDepartment of Neuroscience, Psychology, Drug, and Child's Health (NEUROFARBA), University of Florence, Florence, Italy.ORCID http://orcid.org/0000-0002-6861-9219
Carlotta TagliaferroDepartment of Neuroscience, Psychology, Drug, and Child's Health (NEUROFARBA), University of Florence, Florence, Italy.ORCID http://orcid.org/0000-0002-1869-9740
Guido MiccinesiClinical Epidemiology Unit, Oncological Network, Prevention and Research Institute -ISPRO, Florence, Italy.ORCID http://orcid.org/0000-0002-7452-9594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough each patient has their own unique needs and preferences, healthcare practitioners may not know the type of support the patient needs. The aim of the present study was to assess the unmet informational needs in patients with cancer and to explore their association with clinicians' beliefs about information given to them about diagnosis, prognosis, and treatment.

methodsIn six Italian oncology departments, 980 consecutive patients were invited to participate in the study. Eight hundred three patients accepted to take part in the research. Patients were administered the Needs Evaluation Questionnaire, a sense of coherence scale, and a scale on psychological distress.

resultsThe final sample employed in the current study included 782 patients with approximately 40% showing significant distress and 54% of patients expressing the need for more information on their prognosis. Informational needs score was higher for patients admitted in ward, patients with higher distress, and patients with lower sense of coherence (p < 0.001). Patients with low levels of trust in conventional treatment expressed higher informational needs (p < 0.05). Clinicians' judgment of the levels of information received by the patients about diagnosis, prognosis, and treatment and their judgment of patients' awareness on those same dimensions were not associated with the informational needs expressed by the patients. Hierarchical regression showed a significant amount of additional explained variance in distress when informational needs expressed by patients were entered in the analysis.

conclusionsMost patients with cancer reported greater need for information in Italy. The lack of association between informational needs explicitly expressed by the patient and the clinician's judgment of the patient's needs suggests that for clinicians it is difficult to accurately predict which patients are expressing greater or lesser needs. These results suggest that self-report assessment tools are necessary to assess the patient's information needs during the process of care.

Indexed as

Health Knowledge, Attitudes, PracticeHealth Services Needs and DemandInformation Seeking BehaviorNeoplasmsPhysician-Patient RelationsAdolescentAdultAgedFemaleHumansItalyMaleMiddle AgedNeeds AssessmentPrognosisPsychological DistressCancerInformational needsNeeds evaluation questionnaireOncology

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.