343
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Critical Incidents Reveal How Patients with Head and Neck Cancer Construct Their “Secure Base” as a “Helping System”

, MSc, PhD, , MSc, PhD, , RN & , MD, PhD
Pages 322-341 | Published online: 21 May 2014
 

Abstract

Most studies of the psychosocial needs of patients with head and neck cancers (HNC) use predefined categories and explicitly ask for specified needs. These studies are important but should be complemented with inductive studies based on patients’ own descriptions of experiences. This qualitative study is such a contribution. In repeated interviews positive and negative incidents were collected from 137 patients with HNC, and these experiences were categorized in dimensions expressing needs. A core category—“being included—neglected by a helping system”— emerged from the narrated incidents and was based on the dimensions engagement, competence, and information. The findings are easily related to attachment theory by stressing the significance of establishing trustful relationships with the health care staff, as attachment figures, who respond flexibly and sensitively to the patient's needs. In the constitution of health care as a helping system, all encounters between the patient and health care staff matters. Further research should preferably focus on the creation of guidelines for the constitution of health care as a helping system, that is, how the found factors of a helping system can be operationalized in clinical practice.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 446.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.