Validity and reliability of Spanish PROMIS pediatric pain interference short form

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Background: The goal of this study was to analyze psychometric properties of the Spanish PROMIS Pediatric Pain Interference short form (PROMIS-PPI) in a sample of Spanish children and adolescents. Methods: In a hospital pediatric sample itwas studied the structure scale (exploratory and confirmatory analysis), construct validity, convergent validity, and reliability (internal consistency). Findings: 163 children and adolescents (mean age 13.3 years; SD 2.01; 39.26% female) with and without chronic pain completed measures pertaining to their pain experience. Psychometric analysis showed the PROMIS-PPI Spanish version maintains the original one-factor model of the scale, excellent internal consistency (Cronbach's α coefficient 0.90 (95% CI 0.88–0.92)), and convergent validity (showed a positive, significant, and moderate magnitude correlation [r from 0.330 to 0.604] with pediatric quality of life, child and parent pain intensity, and showed a low correlation with the number of medical consultations in the last year). Discussion: The Spanish PROMIS-PPI scale is a valid and reliable tool. It is recommended for research and clinical care in pediatric populations. Application to practice: The results provide evidence that the Spanish version of PROMIS-PPI is valid and reliable tool. Health professionals who work with children in risk to develop persistent pain, will have access to short tool with highest evidence, for assess pain interference.
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Birnie, K. A., Heathcote, L. C., Bhandari, R. P., Feinstein, A., Yoon, I. A., & Simons, L. E. (2020). Parent physical and mental health contributions to interpersonal fear avoidance processes in pediatric chronic pain. Pain, 161(6), 1202–1211. PAIN.0000000000001820. Brown, T. A. (2015). Methodology in the social sciences. Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press. Chilet-Rosell, E., Álvarez-Dardet, C., & Domingo-Salvany, A. (2012). Use of Spanish proposals for measuring social class in health sciences. Gaceta Sanitaria, 26(6), 566–569. Cronbach, L. J., & Shavelson, R. J. (2004). My current thoughts on coefficient alpha and successor procedures. Educational and Psychological Measurement, 64(3), 391–418. Cunningham, N. R., Kashikar-Zuck, S., Mara, C., Goldschneider, K. R., Revicki, D. A., Dampier, C., ... Morgan, E. M. (2017). Development and validation of the selfreported PROMIS pediatric pain behavior item bank and short form scale. Pain, 158 (7), 1323–1331. Datz, H., Tumin, D.,Miller, R., Smith, T. P., Bhalla, T., & Tobias, J. D. (2019). Pediatric chronic pain and caregiver burden in a national survey. Scandinavian Journal of Pain, 19(1), 109–116. DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). Sage. Domingo-Salvany, A., Regidor, E., Alonso, J., & Alvarez-Dardet, C. (2000). Proposal for a social class measure. Working Group of the Spanish society of epidemiology and the Spanish society of family and community medicine. Atencion Primaria, 25(5), 350–363. Donnelly, T. J., Palermo, T. M., & Newton-John, T. R. O. (2020). Parent cognitive, behavioural, and affective factors and their relation to child pain and functioning in pediatric chronic pain: A systematic review and meta-analysis. Pain, 161(7), 1401–1419. Eccleston, C., Fisher, E., Howard, R. F., Slater, R., Forgeron, P., Palermo, T. M., ... Wood, C. (2021). Delivering transformative action in paediatric pain: A Lancet Child & Adolescent Health Commission. The Lancet. Child & Adolescent Health, 5(1), 47–87. Feinstein, A. B., Sturgeon, J. A., Bhandari, R. P., Yoon, I. A., Ross, A. C., Huestis, S. E., ... Simons, L. E. (2018). Risk and resilience in pediatric pain: The roles of parent and adolescent catastrophizing and acceptance. The Clinical Journal of Pain, 34(12), 1096–1105. Finley, G. A., Chambers, C. T., McGrath, P. J., &Walsh, T.M. (2003). Construct validity of the parents’ postoperative pain measure. The Clinical Journal of Pain, 19(5), 329–334. Forrest, C. B., Forrest, K. D., Clegg, J. L., de la Motte, A., Amaral, S., Grossman, A. B., & Furth, S. L. (2020). Establishing the content validity of PROMIS pediatric pain interference, fatigue, sleep disturbance, and sleep-related impairment measures in children with chronic kidney disease and Crohn’s disease. Journal of Patient-Reported Outcomes, 4 (1). Fussner, L. M., Black,W. R., Lynch-Jordan, A., Morgan, E.M., Ting, T. V., & Kashikar-Zuck, S. (2019). Utility of the PROMIS pediatric pain interference scale in juvenile fibromyalgia. Journal of Pediatric Psychology, 44(4), 436–441. Groenewald, C. B., Wright, D. R., & Palermo, T. M. (2015). Health care expenditures associated with pediatric pain-related conditions in the United States. Pain, 156(5), 951–957. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2004). Análisis Multivariante (5th ed.). Pearson. Hanssen, D. J. C., Naarding, P., Collard, R. M., Comijs, H. C., & Oude Voshaar, R. C. (2014). Physical, lifestyle, psychological, and social determinants of pain intensity, pain disability, and the number of pain locations in depressed older adults. Pain, 155(10), 2088–2096. Ho, I. K., Goldschneider, K. R., Kashikar-Zuck, S., Kotagal, U., Tessman, C., & Jones, B. (2008). Healthcare utilization and indirect burden among families of pediatric patients with chronic pain. Journal of Musculoskelatal Pain, 16(3), 155–164. Hung,M., Hon, S. D., Franklin, J. D., Kendall, R.W., Lawrence, B. D., Neese, A., ... Brodke, D. S. (2014). Psychometric properties of the PROMIS physical function item bank in patients with spinal disorders. Spine, 39(2), 158–163. Irwin, D. E., Varni, J. W., Yeatts, K., & DeWalt, D. A. (2009). Cognitive interviewing methodology in the development of a pediatric item bank: A patient reported outcomes measurement information system (PROMIS) study. Health and Quality of Life Outcomes, 7. Karayannis, N. V., Sturgeon, J. A., Chih-Kao, M., Cooley, C., & Mackey, S. C. (2017). Pain interference and physical function demonstrate poor longitudinal association in people living with pain: A PROMIS investigation. Pain, 158(6), 1063–1068. King, S., Chambers, C. T., Huguet, A., MacNevin, R. C., McGrath, P. J., Parker, L., & MacDonald, A. J. (2011). The epidemiology of chronic pain in children and adolescents revisited: A systematic review. Pain, 152(12), 2729–2738. Kyriazos, T. A. (2018). Applied psychometrics: Sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology, 9, 2207–2230. Lim, S., & Jahng, S. (2019). Determining the number of factors using parallel analysis and its recent variants. Psychological Methods, 24(4), 452–467. Mara, C. A., Kashikar-Zuck, S., Cunningham, N., Goldschneider, K. R., Huang, B., Dampier, C., ... Morgan, E. M. (2021). Development and psychometric evaluation of the PROMIS pediatric pain intensity measure in children and adolescents with chronic pain. The Journal of Pain, 22(1), 48–56. McGrath, P. J.,Walco, G. A., Turk, D. C., Dworkin, R. H., Brown,M. T., Davidson, K., ... Zeltzer, L. (2008). Core outcome domains and measures for pediatric acute and chronic/recurrent pain clinical trials: PedIMMPACT recommendations. The Journal of Pain, 9 (9), 771–783. National Center for Chronic Disease Prevention and Health Promotion, J (2021). Body Mass Index (BMI). Nelson, S., Uhl, K.,Wright, L. A., & Logan, D. (2020). Pain is associatedwith increased physical and psychosocial impairment in youth with a history of burn injuries. The Journal of Pain, 21(3–4), 355–363. Nugraha, B., Gutenbrunner, C., Barke, A., Karst, M., Schiller, J., Schäfer, P., ... Treede, R. D. (2019). The IASP classification of chronic pain for ICD-11: Functioning properties of chronic pain. Pain, 160(1), 88–94. Palermo, T.M.,Walco, G. A., Paladhi, U. R., Birnie, K. A., Crombez, G., de la Vega, R., ... Stone, A. L. (2021). Core outcome set for pediatric chronic pain clinical trials: Results from a Delphi poll and consensus meeting. Pain, 162(10), 2539–2547. Paz, S. H., Spritzer, K. L., Reise, S. P., & Hays, R. D. (2017). Differential item functioning of the patient-reported outcomes information system (PROMIS ®) pain interference item bank by language (Spanish versus English). Quality of Life Research: an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 26(6), 1451–1462. Rabbitts, J. A., Fisher, E., Rosenbloom, B. N., & Palermo, T. M. (2017). Prevalence and predictors of chronic postsurgical pain in children: A systematic review and Metaanalysis. The Journal of Pain, 18(6), 605–614. Roizen, M., Rodríguez, S., Bauer, G., Medin, G., Bevilacqua, S., Varni, J. W., & Dussel, V. (2008). Initial validation of the Argentinean Spanish version of the PedsQL 4.0 generic Core scales in children and adolescents with chronic diseases: Acceptability comprehensibility in low-income settings. Health and Quality of Life Outcomes, 6. Rosenbloom, B. N., Pagé, M. G., Isaac, L., Campbell, F., Stinson, J. N., Wright, J. G., & Katz, J. (2019). Pediatric chronic postsurgical pain and functional disability: A prospective study of risk factors up to one year after major surgery. Journal of Pain Research, 12, 3079–3098. Singh, A., & Panepinto, J. A. (2019). Clinical meaning of PROMIS pain domains for children with sickle cell disease. Blood Advances, 3(15), 2244–2249. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson. Terwee, C. B., Bot, S. D. M., de Boer, M. R., van derWindt, D. A.W.M., Knol, D. L., Dekker, J., ¡... de Vet, H. C.W. (2007). Quality criteriawere proposed formeasurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34–42. Thong, I. S. K., Jensen, M. P., Miró, J., & Tan, G. (2018). The validity of pain intensity measures: What do the NRS, VAS, VRS, and FPS-R measure? Scandinavian Journal of Pain, 18(1), 99–107. Ullan, A. M., Perelló, M., Jerez, C., Gómez, E., Planas, M. J., & Serrallonga, N. (2016). Validation of the Spanish version of Parent’s postoperative pain management pain scale. Anales de Pediatria (Barcelona, Spain : 2003), 84(2), 106–113. Varni, J.W., Seid, M., & Kurtin, P. S. (2001). PedsQL 4.0: Reliability and validity of the pediatric quality of life inventory version 4.0 generic core scales in healthy and patient populations. Medical Care, 39(8), 800–812. Varni, J. W., Stucky, B. D., Thissen, D., Dewitt, E. M., Irwin, D. E., Lai, J. S., ... Dewalt, D. A. (2010). PROMIS pediatric pain interference scale: An item response theory analysis of the pediatric pain item bank. The Journal of Pain, 11(11), 1109–1119. Vervoort, T., Logan, D. E., Goubert, L., De Clercq, B., & Hublet, A. (2014). Severity of pediatric pain in relation to school-related functioning and teacher support: An epidemiological study among school-aged children and adolescents. Pain, 155(6), 1118–1127. Von Baeyer, C. L. (2011). Interpreting the high prevalence of pediatric chronic pain revealed in community surveys. Pain, 152(12), 2683–2684. Walker, L. S., Dengler-Crish, C. M., Rippel, S., & Bruehl, S. (2010). Functional abdominal pain in childhood and adolescence increases risk for chronic pain in adulthood. Pain, 150(3), 568–572. de Winter, J. C. F., Dodou, D., & Wieringa, P. A. (2009). Exploratory factor analysis with small sample sizes. Multivariate Behavioral Research, 44(2), 147–181.