» Articles » PMID: 36006909

Short-form Adaptive Measure of Financial Toxicity from the Economic Strain and Resilience in Cancer (ENRICh) Study: Derivation Using Modern Psychometric Techniques

Abstract

Objectives: This study sought to evaluate advanced psychometric properties of the 15-item Economic Strain and Resilience in Cancer (ENRICh) measure of financial toxicity for cancer patients.

Methods: We surveyed 515 cancer patients in the greater Houston metropolitan area using ENRICh from March 2019 to March 2020. We conducted a series of factor analyses alongside parametric and non-parametric item response theory (IRT) assessments using Mokken analysis and the graded response model (GRM). We utilized parameters derived from the GRM to run a simulated computerized adaptive test (CAT) assessment.

Results: Among participants, mean age was 58.49 years and 278 (54%) were female. The initial round factor analysis results suggested a one-factor scale structure. Negligible levels of differential item functioning (DIF) were evident between eight items. Three items were removed due to local interdependence (Q3>+0.4). The original 11-point numerical rating scale did not function well, and a new 3-point scoring system was implemented. The final 12-item ENRICh had acceptable fit to the GRM (p<0.001; TLI = 0.94; CFI = 0.95; RMSEA = 0.09; RMSR = 0.06) as well as good scalability and dimensionality. We observed high correlation between CAT version scores and the 12-item measure (r = 0.98). During CAT, items 2 (money you owe) and 4 (stress level about finances) were most frequently administered, followed by items 1 (money in savings) and 5 (ability to pay bills). Scores from these four items alone were strongly correlated with that of the 12-item ENRICh (r = 0.96).

Conclusion: These CAT and 4-item versions provide options for quick screening in clinical practice and low-burden assessment in research.

Citing Articles

A Costly Cure: Understanding and Addressing Financial Toxicity in Cardiovascular Disease Health Care Within the Domain of Social Determinants of Health.

Kandula V, Smith G, Rajaram R, Palaskas N, Deswal A, Nasir K Methodist Debakey Cardiovasc J. 2024; 20(5):15-26.

PMID: 39525372 PMC: 11546205. DOI: 10.14797/mdcvj.1466.


Development of a PROMIS multidimensional cancer-related fatigue (mCRF) form using modern psychometric techniques.

Xu C, Sidey-Gibbons C, Lacourt T Qual Life Res. 2024; 33(9):2361-2373.

PMID: 38980641 PMC: 11881535. DOI: 10.1007/s11136-024-03705-0.


Dedicated financial hardship screening adds value to routine distress screening among gynecologic cancer patients.

Liang M, Dholakia J, Lee G, Wang L, Kako T, Blair I Gynecol Oncol. 2024; 183:53-60.

PMID: 38518528 PMC: 11153034. DOI: 10.1016/j.ygyno.2024.03.014.


Financial toxicity in cancer patients and subsequent risk of repeat acute care utilization.

Shi J, Maldonado J, Wu C, Peterson S, Chen Y, Diao K Front Psychol. 2023; 14:1209526.

PMID: 37663351 PMC: 10469858. DOI: 10.3389/fpsyg.2023.1209526.


Enhanced Surgical Decision-Making Tools in Breast Cancer: Predicting 2-Year Postoperative Physical, Sexual, and Psychosocial Well-Being following Mastectomy and Breast Reconstruction (INSPiRED 004).

Xu C, Pfob A, Mehrara B, Yin P, Nelson J, Pusic A Ann Surg Oncol. 2023; 30(12):7046-7059.

PMID: 37516723 PMC: 10562277. DOI: 10.1245/s10434-023-13971-w.


References
1.
Rubin R . Cancer Mortality Continues to Decline. JAMA. 2019; 322(4):295. DOI: 10.1001/jama.2019.10366. View

2.
Madley-Dowd P, Hughes R, Tilling K, Heron J . The proportion of missing data should not be used to guide decisions on multiple imputation. J Clin Epidemiol. 2019; 110:63-73. PMC: 6547017. DOI: 10.1016/j.jclinepi.2019.02.016. View

3.
Scalise K, Allen D . Use of open-source software for adaptive measurement: Concerto as an R-based computer adaptive development and delivery platform. Br J Math Stat Psychol. 2015; 68(3):478-96. DOI: 10.1111/bmsp.12057. View

4.
Gibbons C, Bower P, Lovell K, Valderas J, Skevington S . Electronic Quality of Life Assessment Using Computer-Adaptive Testing. J Med Internet Res. 2016; 18(9):e240. PMC: 5065679. DOI: 10.2196/jmir.6053. View

5.
Lentz R, Benson 3rd A, Kircher S . Financial toxicity in cancer care: Prevalence, causes, consequences, and reduction strategies. J Surg Oncol. 2019; 120(1):85-92. DOI: 10.1002/jso.25374. View