Association between the patients’ symptom burden and their family caregivers’ benefit finding in non-small cell lung cancer receiving combined chemotherapy

Ma, Li; Zhu, Kaimei; Shi, Chongqing; Chen, Xiangrong; Gao, Yi; Cai, Chan; Wang, Yixin

doi:10.1007/s00520-023-07590-0

Cited by 12 publications

(6 citation statements)

References 49 publications

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“…The symptom burden of patients with cancer undergoing chemotherapy is serious [43,44], and the core symptom cluster occurs the most and has the greatest impact [24]. Medical staff and patients need corresponding management programs.…”

Section: Discussionmentioning

confidence: 99%

Construction of the core symptom cluster management program for patients with lung cancer undergoing chemotherapy: a Delphi study

Zhang,

Luo,

Mao

et al. 2024

Preprint

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Background: In recent years, the incidence of cancer has been on the rise worldwide due to environmental pollution, poor lifestyle habits, and increasing medical diagnoses. In China, the incidence and mortality of lung cancer both rank first among malignant tumors. In the process of cancer diagnosis and treatment, patients with lung cancer experience a serious symptom burden. Inadequate symptom management will aggravate the physical and mental pain of patients, and even delay or interrupt the treatment of the disease. Therefore, it is urgent to provide scientific symptom management programs for medical staff and patients with lung cancer. Objective: To construct the core symptom cluster management program for patients with lung cancer undergoing chemotherapy. Methods: Under the guidance of Symptom Management Theory, the draft program was formed through the literature supplement and clinical expert meeting based on the best evidence summary, and the final program was formed after two rounds of Delphi with 17 experts. Results: The draft program contains 35 entries in 3 time dimensions and 16 intervention dimensions. The final program, formed after two rounds of Delphi, consists of 12 entries in 7 different dimensions. In both rounds, Delphi issued and recovered 17 questionnaires, and the recovery rate was 100%. The expert authority coefficient was 0.888. The submission rate of expert opinions was 82.35% and 58.82%. The mean values of importance were 3.765-4.647 and 4.410-4.820. The full score frequency was 23.5-76.5 and 58.8-88.2. The coefficient of variation was 0.130-0.280 and 0.110-0.197. The Kendall’s W was 0.467 and 0.523, P < 0.05. The expert approval rate for the clinical usability of each item was 94.1%-100%. Conclusion: Under the guidance of Symptom Management Theory, the core symptom cluster management program for patients with lung cancer undergoing chemotherapy established in this study is scientific and credible, with clinical operability, and can guide medical staff and patients with lung cancer to carry out symptom management in complex clinical environments.

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Section: Discussionmentioning

confidence: 99%

Construction of the core symptom cluster management program for patients with lung cancer undergoing chemotherapy: a Delphi study

Zhang,

Luo,

Mao

et al. 2024

Preprint

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show abstract

“…Currently, most existing studies 19 , 20 assess the level of BF using a total score on a BF scale. However, in real-world settings, there may be instances where individuals with different life experiences and characteristics score lower on several dimensions, while still obtaining a higher total score on the BF scale.…”

Section: Introductionmentioning

confidence: 99%

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

Lin,

Chen,

Zhao

et al. 2024

Asia-Pacific Journal of Oncology Nursing

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“…In addition, extant studies (Ma et al, 2023; predominantly considered the sense of bene t variable as the center and judged the sense of bene t level and the research effect of the study group by the level of the total score of the scale, which does not consider the heterogeneity and different characteristics among the sense of bene t pro les, leading to the possibility that individual differences may be neglected. Latent Pro le Analysis (LPA) can effectively divide a large heterogeneous population into clusters with similar characteristics (Bauer, 2022;Park & Lin, 2020), centered on individual informal caregivers of patients with lung cancer, and su ciently explore the characteristics of these clusters and their differences in caregiving ability.…”

Section: Introductionmentioning

confidence: 99%

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

Lin,

Chen,

Zhao

et al. 2024

Preprint

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Purpose 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 selected 272 informal caregivers of patients with lung cancer. The caregiving ability and BF were measured through self-report scale, respectively. Data analysis was mainly performed using Latent Profile Analysis and multivariate logistic regression. Results (a) 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%). (b) Having a co-caregiver 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. (c) 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 profile 3. Conclusion 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 co-caregiver status and enhance their caregiving ability through targeted nursing guidance.

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Association between the patients’ symptom burden and their family caregivers’ benefit finding in non-small cell lung cancer receiving combined chemotherapy

Cited by 12 publications

References 49 publications

Construction of the core symptom cluster management program for patients with lung cancer undergoing chemotherapy: a Delphi study

Construction of the core symptom cluster management program for patients with lung cancer undergoing chemotherapy: a Delphi study

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

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

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