Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Mar 28;11(5):100480.
doi: 10.1016/j.apjon.2024.100480. eCollection 2024 May.

Benefit-finding profiles and comparison of caregiving ability among informal caregivers of patients with lung cancer: A latent profile analysis

Affiliations

Benefit-finding profiles and comparison of caregiving ability among informal caregivers of patients with lung cancer: A latent profile analysis

Xiaoyuan Lin et al. Asia Pac J Oncol Nurs. .

Abstract

Objective: This study aimed to explore the benefit finding (BF) profiles among informal caregivers of patients with lung cancer, identify demographic and disease characteristics, and analyze differences in caregiving ability between profiles.

Methods: This cross-sectional study utilized convenience sampling to select 272 informal caregivers of patients with lung cancer from a tertiary care hospital in Guangzhou, China. The research instruments used included the Demographic and Disease Characteristics Questionnaire, the revised version of the BF Scale, and the Chinese version of the Family Caregiver Task Inventory. Data analysis was performed using latent profile analysis, chi-square test, Fisher's exact probability test, Kruskal-Wallis test, and multivariate logistic regression.

Results: (1) BF can be divided into three profiles: "high benefit-family and personal growth" (Profile 1, 7.7%), "moderate benefit-unclear perception" (Profile 2, 44.9%), and "low benefit-coping ability deficient" (Profile 3, 47.4%). (2) Having a cocaregiver and a disease duration of 6-12 months were more likely to belong to Profile 1; caregivers of patients aged 40-60 years tended to belong to Profile 2; caregivers of older patients with disease duration > 12 months and clinical stage II or III were more likely to belong to Profile 3. (3) There were significant differences in the total score of caregiving ability and the scores of each dimension among the different BF profiles (P < 0.001), and the caregiving abilities of Profile 1 and Profile 2 were higher than those of Profile 3.

Conclusions: There was heterogeneity in BF among informal caregivers of patients with lung cancer. Healthcare professionals can identify the key profiles of lung-cancer caregivers based on characteristics such as age, clinical stage, disease duration, and cocaregiver status and enhance their caregiving ability through targeted nursing guidance.

Keywords: Benefit finding; Cancer care quality; Cross-sectional study; Latent profile analysis; Psychological nursing.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Response rate of the three profiles across the 22 items.
Fig. 2
Fig. 2
Profiles' predictive factors. Note: ∗ Denotes the reference category; profile 1 (high benefit–family and personal growth), profile 2 (moderate benefit–unclear perception), profile 3 (low benefit–coping ability deficient), OR (Odds Ratio), 95% CI (Confidence Interval).
Fig. 3
Fig. 3
Comparison of caregiving ability scores and each dimension. FCTI, Family Caregiver Task Inventory.
Fig. 4
Fig. 4
Multiple comparisons of BF profiles on total caregiving ability score. BF, benefit finding; FCTI, Family Caregiver Task Inventory.

Similar articles

Cited by

References

    1. Sung H., Ferlay J., Siegel R.L., et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209–249. doi: 10.3322/caac.21660. - DOI - PubMed
    1. He S., Xia C., Li H., et al. Cancer profiles in China and comparisons with the USA: a comprehensive analysis in the incidence, mortality, survival, staging, and attribution to risk factors. Sci China Life Sci. 2023 doi: 10.1007/s11427-023-2423-1. - DOI - PubMed
    1. Basumallik N., Agarwal M. StatPearls Publishing LLC.; 2023. Small Cell Lung Cancer. StatPearls. StatPearls Publishing Copyright © 2023. - PubMed
    1. Wong M.L., Shi Y., Smith A.K., et al. Changes in older adults' life space during lung cancer treatment: a mixed methods cohort study. J Am Geriatr Soc. 2022;70(1):136–149. doi: 10.1111/jgs.17474. - DOI - PMC - PubMed
    1. Ploukou S., Papageorgiou D.I., Panagopoulou E., Benos A., Smyrnakis E. Informal caregivers' experiences of supporting patients with pancreatic cancer: a qualitative study in Greece. Eur J Oncol Nurs. 2023;67 doi: 10.1016/j.ejon.2023.102419. - DOI - PubMed

LinkOut - more resources