Measuring hopelessness in advanced cancer: A secondary analysis of the Hopelessness Assessment in Illness questionnaire (HAI) Journal Article


Authors: Walsh, L. E.; Rosenfeld, B.; Feuerstahler, L.; Pessin, H.; Breitbart, W.
Article Title: Measuring hopelessness in advanced cancer: A secondary analysis of the Hopelessness Assessment in Illness questionnaire (HAI)
Abstract: Hopelessness, or a sense of despair about the future, has been a growing focus of psychological research among patients with serious medical illnesses. This study evaluated the psychometric properties of the Hopelessness Assessment in Illness (HAI) questionnaire, developed specifically for those facing a life-threatening illness. Participants were 344 advanced cancer patients (e.g. lung, breast, gastrointestinal, etc.) participating in two psychotherapy research trials. Descriptive statistics characterised participants in regard to both demographic (age, gender, race, ethnicity, religiosity) and clinical characteristics (cancer type). Scale properties were assessed for internal consistency using Cronbach's coefficient alpha, item-total correlations, Principle Axis factor analysis, and its correlation to relevant psychological constructs. Nonlinear confirmatory factor analysis (CFA) assessed for latent construct variance by gender. Psychometric properties of the Hopelessness Assessment in Illness questionnaire. Results indicated strong internal consistency and temporal stability of the HAI, with significant correlations between the HAI and several theoretically related psychological constructs. CFA suggested the same single underlying factor for males and females. The HAI demonstrated strong psychometric properties in the context of advanced cancer. Future research is needed to assess the utility of the HAI in more medically and geographically diverse populations.
Journal Title: Psychology & Health
Volume: 38
Issue: 7
ISSN: 0887-0446
Publisher: Taylor & Francis Group  
Date Published: 2023-07-01
Start Page: 847
End Page: 861
Language: English
DOI: 10.1080/08870446.2021.1989430
PROVIDER: EBSCOhost
PROVIDER: cinahl
PMCID: PMC9023589
PUBMED: 34678104
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PubMed record and PDF -- Source: Cinahl
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MSK Authors
  1. William S Breitbart
    505 Breitbart
  2. Hayley Ann Pessin
    88 Pessin
  3. Leah Elizabeth Walsh
    21 Walsh