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Health and Quality of Life Outcomes
Published in: Health and Quality of Life Outcomes 1/2020

Open Access 01-12-2020 | Research

Minimum clinical important difference for resilience scale specific to cancer: a prospective analysis

Authors: Zeng Jie Ye, Zhang Zhang, Ying Tang, Jian Liang, Xiao Ying Zhang, Guang Yun Hu, Zhe Sun, Mu Zi Liang, Yuan Liang Yu

Published in: Health and Quality of Life Outcomes | Issue 1/2020

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Abstract

Background

The minimum clinical important differences (MCIDs) of resilience instruments in patients with cancer have not been comprehensively described. This study was designed to evaluate MCIDs of 10-item and 25-item resilience scales specific to cancer (RS-SC-10 and RS-SC-25).

Methods

From June 2015 to December 2018, RS-SCs were longitudinally measured in 765 patients with different cancer diagnoses at baseline (T0) and 3 months later (T1). The EORTC QLQ-C30, Connor-Davidson Resilience Scale, Hospital Anxiety and Depression Scale, and Allostatic Load Index were measured concurrently as anchors. Anchor-based methods (linear regression, within-group), distribution-based methods(within-group), and receiver operating characteristic curves (ROCs, within-subject) were performed to evaluate the MCIDs.

Results

623 of 765 (84.1%) patients had paired RS-SCs scores. Moderate correlations were identified between the change in RS-SCs and change in anchors (r = 0.38–0.44, all p < 0.001). Linear regression estimated + 8.9 and − 6.7 as the MCIDs of RS-SC-25, and + 3.4 and − 2.5 for RS-SC-10. Distribution-based methods estimated + 9.9 and − 9.9 as the MCIDs of RS-SC-25, and + 4.0 and − 4.0 for RS-SC-10. ROC estimated + 5.5 and − 4.5 as the MCIDs of RS-SC-25, and + 2.0 and − 1.5 for RS-SC-10.

Conclusions

The most reliable MCID is around 5 points for RS-SC-25 and 2 points for RS-SC-10. RS-SCs are more responsive to the worsening status of resilience in patients with cancer and these estimates could be useful in future resilience-based intervention trials.
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Literature
1.
Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015. CA-Cancer J Clin. 2016;66(2):115–32.PubMedCrossRef
2.
McCorkle R, Ercolano E, Lazenby M, et al. Self-management: enabling and empowering patients living with cancer as a chronic illness. CA Cancer J Clin. 2011;61(1):50–62.PubMedPubMedCentralCrossRef
3.
Rutter M. Resilience in the face of adversity: protective factors and resistance to psychiatric disorder. Brit J Psychiatry. 1985;147(6):598–611.CrossRef
4.
Ye ZJ, Qiu HZ, Li PF, et al. Predicting changes in quality of life and emotional distress in Chinese patients with lung, gastric, and colon-rectal cancer diagnoses: the role of psychological resilience. Psycho-oncology. 2017;26(6):829–35.PubMedCrossRef
5.
6.
Ye ZJ, Liang MZ, Li PF, et al. New resilience instrument for patients with cancer. Qual Life Res. 2018;27(2):355–65.PubMedCrossRef
7.
Ye ZJ, Peng CH, Zhang HW, et al. A biopsychosocial model of resilience for breast Cancer: a preliminary study in mainland China. Eur J Oncol Nurs. 2018;36:95–102.PubMedCrossRef
8.
Ye ZJ, Liang MZ, Zhang HW, et al. Psychometric properties of the Chinese version of resilience scale specific to Cancer: an item response theory analysis. Qual Life Res. 2018;27(6):1635–45.PubMedCrossRef
9.
Ye ZJ, Zhang Z, Tang Y, et al. Development and psychometric analysis of the 10-item resilience scale specific to cancer: a multidimensional item response theory analysis. Eur J Oncol Nurs. 2019;41:64–71.PubMedCrossRef
10.
Revicki D, Hays RD, et al. Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. J Clin Epidemiol. 2008;61(2):102–9.PubMedCrossRef
11.
Turner D, Schünemann HJ, Griffith LE, et al. The minimal detectable change cannot reliably replace the minimal important difference. J Clin Epidemiol. 2010;63(1):28–36.PubMedCrossRef
12.
Ye ZJ, Liang MZ, Qiu HZ, et al. Effect of a multidiscipline mentor-based program, be resilient to breast Cancer (BRBC), on female breast cancer survivors in mainland China-a randomized, controlled, theoretically-derived intervention trial. Breast Cancer Res Treat. 2016;158(3):509–22.PubMedCrossRef
13.
Ye ZJ, Zhang Z, Zhang XY, et al. Effectiveness of adjuvant supportive-expressive group therapy for breast cancer. Breast Cancer Res Tr. 2020;180(1):121–34.CrossRef
14.
Ye ZJ, Qiu HZ, Liang MZ, et al. Effect of a mentor-based, supportive-expressive program, be resilient to breast Cancer, on survival in metastatic breast cancer—a randomized, controlled intervention trial. Br J Cancer. 2017;117(10):1486–94.PubMedPubMedCentralCrossRef
15.
Ye ZJ, Zhang Z, Zhang XY, et al. State or trait? Measuring resilience by generalisability theory in breast cancer. Eur J Oncol Nurs. 2020;46:101727.PubMedCrossRef
16.
EORTC Quality of Life Group. Quality of life research within the EORTC—the EORTC QLQ-C30. Eur J Cancer. 2002;38(4):125–33.
17.
Wan CH, Chen MQ, Zhang CZ, et al. The introduction of the Chinese version of EORTC QLQ-C30 in patients with cancer. J Pract Oncol. 2005;4:353–5.
18.
Yu XN, Zhang JX. Factor analysis and psychometric evaluation of the Connor-Davidson resilience scale (CD-RISC) with Chinese people. Soc Behav Pers. 2007;35(1):19–31.CrossRef
19.
Ye ZJ, Qiu HZ, Li PF, et al. Validation and application of the Chinese version of the 10-item Connor-Davidson resilience scale (CD-RISC-10) among parents of children with Cancer diagnosis. Eur J Oncol Nurs. 2017;27:36–44.PubMedCrossRef
20.
Ni MY, Li TK, Yu NX, et al. Normative data and psychometric properties of the Connor-Davidson resilience scale (CD-RISC) and the abbreviated version (CD-RISC2) among the general population in Hong Kong. Qual Life Res. 2016;25(1):111–6.PubMedCrossRef
21.
Li Q, Lin Y, Hu C, et al. The Chinese version of hospital anxiety and depression scale: psychometric properties in Chinese cancer patients and their family caregivers. Eur J Oncol Nurs. 2016;25:16–23.PubMedCrossRef
22.
Seeman TE, McEwen BS, Rowe JW, et al. Allostatic load as a marker of cumulative biological risk: MacArthur studies of successful aging. Proc Natl Acad Sci U S A. 2001;98:4770–5.PubMedPubMedCentralCrossRef
23.
Karlamangla AS, Singer BH, Seeman TE. Reduction in allostatic load in older adults is associated with lower all-cause mortality risk: MacArthur studies of successful aging. Psychosom Med. 2006;68:500–7.PubMedCrossRef
24.
Qiu HZ, Ye ZJ, Liang MZ, et al. Effect of an art brut therapy program, go beyond the schizophrenia (GBTS),on prison inmates with schizophrenia in mainland China-A randomized, longitudinal, and controlled trial. Clin Psychol Psychother. 2017;24(5):1069–78.PubMedCrossRef
25.
Ye ZJ, Cai RQ, Liu ML, et al. The development of the transitional care model in nursing in mainland China: a literature review. Int J Nurs Sci. 2016;3(1):113–30.
26.
DeVellis RF. Scale development : theory and applications. Thousand Oaks: SAGE; 2012.
27.
Polit DF, Beck CT. Essentials of nursing research: appraising evidence for nursing practice. Philadelphia: Wolters Kluwer Health; 2018.
28.
Hawkins DL, Using U. Statistics to derive the asymptotic distribution of Fisher's Z statistic. Am Stat. 1989;43(4):235–7.
29.
Sokal RR, Rohlf FJ. Biometry. The principles and practice of statistics in biological research. 3rd ed. New York: WH Freeman; 1995.
30.
Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: Lawerence Erlbaum Associates, Inc.; 1988.
31.
Norman GR, Sloan JA, Wyrwich KW. Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation. Med Care. 2003;41:582–92.PubMed
32.
Wyrwich KW, Tierney WM, Wolinsky FD. Further evidence supporting an SEM-based criterion for identifying meaningful intra-individual changes in health-related quality of life. J Clin Epidemiol. 1999;52:861–73.PubMedCrossRef
33.
Raman S, Ding K, Chow E, et al. Minimal clinically important differences in the EORTC QLQ-C30 and brief pain inventory in patients undergoing re-irradiation for painful bone metastases. Qual Life Res. 2018;27(4):1089–98.PubMedCrossRef
34.
Ye ZJ, Wang ZY, Yu YL, Liang MZ, et al. Reliability and validity of the Chinese version of the 10-item Connor-Davidson resilience scale in Chinese Cancer patients. Chin Gen Pract. 2018;21(15):1839–44.
35.
Smid DE, Franssen FM, Houben-Wilke S, et al. Responsiveness and MCID estimates for CAT, CCQ, and HADS in patients with COPD undergoing pulmonary rehabilitation: a prospective analysis. J Am Med Dir Assoc. 2017;18(1):53–8.PubMedCrossRef
36.
37.
Zar JH. Biostatistical analysis. 5th ed. Englewood Cliffs: Prentice-Hall; 2009.
38.
Kon SS, Canavan JL, Jones SE, et al. Minimum clinically important difference for the COPD assessment test: a prospective analysis. Lancet Respir Med. 2014;2:195–203.PubMedCrossRef
39.
Copay AG, Subach BR, Glassman SD, et al. Understanding the minimum clinically important difference: a review of concepts and methods. Spine J. 2007;7:541–6.PubMedCrossRef
40.
Schunemann HJ, Griffith L, Jaeschke R, et al. Evaluation of the minimal important difference for the feeling thermometer and the St. George’s respiratory questionnaire in patients with chronic air flow obstruction. J Clin Epidemiol. 2003;56:1170–6.PubMedCrossRef
41.
Puhan MA, Chandra D, Mosenifar Z, et al. The minimal important difference of exercise tests in severe COPD. Eur Respir J. 2011;37:784–90.PubMedCrossRef
42.
Ye ZJ, Qiu HZ, Li PF, et al. Resilience model for parents of children with cancer in mainland China-an exploratory study. Eur J Oncol Nurs. 2017;27:9–16.PubMedCrossRef
43.
Ye ZJ, Liu ML, Zhang Z, et al. Psychometric properties of the Chinese version of the parent perception of uncertainty scale (PPUS) among parents of children with cancer diagnosis. Intl J Nurs Sci. 2017;4(3):278–84.
44.
Rosenberg AR, Bradford MC, Junkins CC, et al. Effect of the promoting resilience in stress management intervention for parents of children with Cancer (PRISM-P): a randomized clinical trial. JAMA Netw Open. 2019;2(9):e1911578.PubMedPubMedCentralCrossRef
45.
Yi-Frazier JP, Fladeboe K, Klein V, et al. Promoting resilience in stress Management for Parents (PRISM-P): an intervention for caregivers of youth with serious illness. Fam Syst Health. 2017;35(3):341–51.PubMedPubMedCentralCrossRef
46.
Ye ZJ, Zhang Z, Liang MZ, et al. Symptoms and management of children with incurable cancer in mainland China. Eur J Oncol Nurs. 2019;38:42–9.PubMedCrossRef
47.
Rosenberg AR, Bradford MC, McCauley E, Curtis JR, Wolfe J, Baker KS, Yi-Frazier JP. Promoting resilience in adolescents and young adults with cancer: results from the PRISM randomized controlled trial. Cancer. 2018;124(19):3909–17.PubMedCrossRef
48.
49.
Ye ZJ, Guan HJ, Wu LH, et al. The resilience and psychosocial function among mainland Chinese parents of children with cancer: a cross-sectional survey. Cancer Nurs. 2015;38(6):466–74.PubMedCrossRef
50.
Ye ZJ, Zhang XY, Liang J, et al. The challenges of medical ethics in China: are gene-edited babies enough? Sci Eng Ethics. 2020;26(1):123–5.PubMedCrossRef
Metadata
Title
Minimum clinical important difference for resilience scale specific to cancer: a prospective analysis
Authors
Zeng Jie Ye
Zhang Zhang
Ying Tang
Jian Liang
Xiao Ying Zhang
Guang Yun Hu
Zhe Sun
Mu Zi Liang
Yuan Liang Yu
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2020
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-020-01631-6

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