Abstract
Purpose
To develop the PROMIS Pediatric Stigma (PPS) and Skin (PPS-Skin) by constructing a common metric for measuring stigma in children with various conditions, while capturing the unique features of each condition.
Methods
Data from 860 children, ages 8–17, with a diagnosis of epilepsy, pNF (neurofibromatosis type 1 associated neurofibroma plexform), MD (muscular dystrophy), cancer, or skin conditions recruited from three projects were analyzed. Children with epilepsy, pNF and MD (sample-1) completed the original 18-item Neuro-QoL Stigma, while children with cancer and skin conditions (e.g., atopic dermatitis, psoriasis, and genetic skin disorders; sample-2) completed a 16-item version and 6 additional skin related items. Exploratory factor analysis (EFA) and confirmatory analysis (CFA) were used to evaluate unidimensionality of 24 stigma items. Differential item functioning (DIF) was used to evaluate measurement equivalence on group, gender, age, and conditions. Item response theory model (IRT) was used to construct the final measure.
Results
Sufficient unidimensionality was supported by both EFA and CFA. No items showed significant DIF indicating stable measurement properties across groups of comparison. All items fit the IRT model and were able to be calibrated together to form the PPS which consists of 18 core items. The PPS-Skin (18 cores items + 6 skin items) was developed by calibrating 6 skin items onto the common metric as the PPS.
Conclusions
We used IRT techniques to successfully develop the PPS and the PPS-Skin, which share a common metric and account for unique and common concerns related to chronic conditions.
Similar content being viewed by others
References
Link, B. G., & Phelan, J. C. (2006). Stigma and its public health implications. The Lancet, 367(9509), 528–529.
Bakula, D. M., Sharkey, C. M., Perez, M. N., Espeleta, H. C., Hawkins, M., Chaney, J. M., & Mullins, L. L. (2019). The role of stigma in the relationship between illness intrusiveness and adjustment in adolescents and young adults: A path model. Journal of Pediatric Psychology, 44(5), 611–619.
van der Beek, K. M., Bos, I., Middel, B., & Wynia, K. (2013). Experienced stigmatization reduced quality of life of patients with a neuromuscular disease: A cross-sectional study. Clinical Rehabilitation, 27(11), 1029–1038.
Krowchuk, D. P., Stancin, T., Keskinen, R., Walker, R., Bass, J., & Anglin, T. M. (1991). The psychosocial effects of acne on adolescents. Pediatric Dermatology, 8(4), 332–338.
Tan, J. K. (2004). Psychosocial impact of acne vulgaris: Evaluating the evidence. Skin Therapy Lett, 9(7), 1–3.
Earnshaw, V. A., & Quinn, D. M. (2012). The impact of stigma in healthcare on people living with chronic illnesses. Journal of Health Psychology, 17(2), 157–168.
Pearl, R. L., White, M. A., & Grilo, C. M. (2014). Weight bias internalization, depression, and self-reported health among overweight binge eating disorder patients. Obesity. https://doi.org/10.1002/oby.20617
Roberto, C. A., Sysko, R., Bush, J., Pearl, R., Puhl, R. M., Schvey, N. A., & Dovidio, J. F. (2012). Clinical correlates of the weight bias internalization scale in a sample of obese adolescents seeking bariatric surgery. Obesity, 20(3), 533–539.
Hilbert, A., Braehler, E., Haeuser, W., & Zenger, M. (2014). Weight bias internalization, core self-evaluation, and health in overweight and obese persons. Obesity, 22(1), 79–85.
Taft, T. H., Riehl, M. E., Dowjotas, K. L., & Keefer, L. (2014). Moving beyond perceptions: Internalized stigma in the irritable bowel syndrome. Neurogastroenterology and Mot0ility, 26(7), 1026–1035.
Vartanian, L. R., & Novak, S. A. (2011). Internalized societal attitudes moderate the impact of weight stigma on avoidance of exercise. Obesity, 19(4), 757–762.
Stevelink, S. A. M., Wu, I. C., Voorend, C. G. N., & van Brakel, W. H. (2012). The psychometric assessment of internalized stigma instruments: A systematic review. Stigma Research and Action, 2(2), 100–118.
Lai, J.-S., Nowinski, C. J., Zelko, F., Wortman, K., Burns, J., Nordli, D. R., & Cella, D. (2015). Validation of the Neuro-QoL measurement system in children with epilepsy. Epilepsy & Behavior, 46, 209–214.
Harmon, K. A., Day, A. M., Hammill, A. M., Pinto, A. L., McCulloch, C. E., & Comi, A. M. (2019). Quality of life in children with Sturge-Weber syndrome. Pediatric Neurology, 101, 26–32.
Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., Ader, D., Fries, J. F., Bruce, B., & Rose, M. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(5 Suppl 1), S3–S11.
Lai, J.-S., Zelko, F., Krull, K., Cella, D., Nowinski, C., Manley, P., & Goldman, S. (2014). Parent-reported cognition of children with cancer and its potential clinical usefulness. Quality of Life Research, 23(4), 1049–1058.
Pilkonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., & Cella, D. (2011). Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS):Depression, anxiety, and anger. Assessment, 18(3), 263–283.
Luck-Sikorski, C., Roßmann, P., Topp, J., Augustin, M., Sommer, R., & Weinberger, N. A. (2022). Assessment of stigma related to visible skin diseases: A systematic review and evaluation of patient-reported outcome measures. Journal of the European Academy of Dermatology and Venereology, 36(4), 499–525.
Lai, J.-S., Jensen, S. E., Charrow, J., & Listernick, R. (2019). Patient reported outcomes measurement information system and quality of life in neurological disorders measurement system to evaluate quality of life for children and adolescents with neurofibromatosis Type 1 associated plexiform neurofibroma. Journal of Pediatrics, 206, 190–196.
Lai, J. S., Nowinski, C., Victorson, D., Bode, R., Podrabsky, T., McKinney, N., Straube, M., Moy, C., & Cella, D. (2012). Quality-of-life measures in children with neurological conditions: Pediatric neuro-QOL. Neurorehabilitation and Neural Repair, 26(1), 36–47.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
Kline, R. B. (2008). Principles and practice of structural equation modeling (2nd ed.). Guilford Press.
Lai, J.-S., Crane, P. K., & Cella, D. (2006). Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Quality of Life Research, 15(7), 1179–1190.
Lai, J.-S., Zelko, F., Butt, Z., Cella, D., Kieran, M. W., Krull, K. R., Magasi, S., & Goldman, S. (2011). Parent-perceived child cognitive function: Results from a sample drawn from the US general population. Child’s Nervous System, 27(2), 285–293.
McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Earlbaum Associates Inc.
Samejima, F. (1997). The graded response model. In W. J. van der Linden & R. Hambleton (Eds.), Handbook of modern item response theory (pp. 85–100). Springer-Verlag.
Stark, S., Chernyshenko, O. S., Drasgow, F., & Williams, B. A. (2006). Examining assumptions about item responding in personality assessment: Should ideal point methods be considered for scale development and scoring? Journal of Applied Psychology, 91(1), 25–39.
Crişan, D. R., Tendeiro, J. N., & Meijer, R. R. (2017). Investigating the practical consequences of model misfit in unidimensional IRT models. Applied Psychological Measurement, 41(6), 439–455.
Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.
Cella, D., Schalet, B. D., Kallen, M., Lai, J.-S., Cook, K. F., Rutsohn, J., & Choi, S. W. (2016). PROsetta Stone® analysis report: A Rosetta stone for patient reported outcomes (Vol. 2). Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University.
Joachim, G., & Acorn, S. (2000). Stigma of visible and invisible chronic conditions. Journal of Advanced Nursing, 32(1), 243–248.
Jones, E. E., Farina, A., Hastorf, A. H., Markus, H., Miller, D. T., & Scott, R. A. (1984). Social stigma: The psychology of marked relationships. W H Freeman & Co.
Hartog, K., Hubbard, C. D., Krouwer, A. F., Thornicroft, G., Kohrt, B. A., & Jordans, M. J. D. (2020). Stigma reduction interventions for children and adolescents in low- and middle-income countries: Systematic review of intervention strategies. Social Science and Medicine, 246, 112749.
Nearchou, F. A., Campbell, A., Duffy, K., Fehily, M., Ryan, H., & Hennessy, E. (2019). Chronic illness stigma and well-being in youth: The mediating role of support. In Z. Bekirogullari, M. Y. Minas, & R. X. Thambusamy (Eds.), Health and health psychology: icH&Hpsy 2017 (Vol. 30, pp. 1–11). Future Academy.
Quinn, D. M., Williams, M. K., Quintana, F., Gaskins, J. L., Overstreet, N. M., Pishori, A., Earnshaw, V. A., Perez, G., & Chaudoir, S. R. (2014). Examining effects of anticipated stigma, centrality, salience, internalization, and outness on psychological distress for people with concealable stigmatized identities. PLoS ONE, 9(5), e96977.
Funding
This work was supported by National Institutes of Health (NIAMS U19 069526; MPIs: Jin-Shei Lai and Amy Paller); National Institute of Neurological Disorders and Stroke (HHSN265200423601C; PI: David Cella); and an Agreement to Dr. Jin-Shei Lai from the Johns Hopkins University School of Medicine and the Neurofibromatosis Therapeutic Acceleration Program (NTAP). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Johns Hopkins University School of Medicine. The study sponsor provided consultation regarding study design and assistance with recruitment for data collection. The study sponsor was not involved in the analysis/interpretation of data, the writing of the report, or the decision to submit the manuscript for publication.
Author information
Authors and Affiliations
Contributions
Conceptualization/Design: JSL, ASP, SC, CN, DC. Funding acquisition: JSL, ASP. Data Curation: JSL, ASP, SMR, KM, STB, VU. Data Analysis: JSL, ASP, DC, MM. Drafting the initial manuscript: JSL. Review/editing the manuscript: ASP, DC, CN, SMR, STB, KM, VU, DC, MM.
Corresponding author
Ethics declarations
Competing interest
The authors have no relevant financial or non-financial interests to disclose.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Lai, JS., Nowinski, C., Rangel, S.M. et al. Development of the PROMIS pediatric stigma and extension to the PROMIS pediatric stigma: skin item banks. Qual Life Res 33, 865–873 (2024). https://doi.org/10.1007/s11136-023-03574-z
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-023-03574-z