Psychometric Properties of the Spanish Version of Breast Cancer and Lymphedema Symptom Experience Index

  1. Judit Cachero-Rodríguez 1
  2. Álvaro Menéndez-Aller 2
  3. Mei R Fu 3
  4. Ana Llaneza-Folgueras 4
  5. María del Mar Fernández-Alvarez 2
  6. Rubén Martín-Payo 2
  1. 1 Equipo de Investigación PRECAM
  2. 2 Universidad de Oviedo/ISPA
  3. 3 Rutgers University
    info

    Rutgers University

    Nuevo Brunswick, Estados Unidos

    ROR https://ror.org/05vt9qd57

  4. 4 Hospital Universitario Central de Asturias
    info

    Hospital Universitario Central de Asturias

    Oviedo, España

    ROR https://ror.org/03v85ar63

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Revista:
Psicothema

ISSN: 0214-9915,  1886-144X

Año de publicación: 2022

Volumen: 34

Número: 2

Páginas: 291-298

Tipo: Artículo

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Otras publicaciones en: Psicothema

Resumen

Antecedentes: el linfedema es una complicación tras el cáncer de mama. El objetivo fue evaluar las propiedades psicométricas de la versión española BCLE-SEI en mujeres diagnosticadas de cáncer de mama que hablaban español. Método: participaron 286 pacientes (2018 a 2020) del Hospital Universitario Central de Asturias. El análisis de datos incluyó estadísticos descriptivos; consistencia interna y fiabilidad test-retest, análisis de componentes principales y análisis factorial exploratorio; varianza media extraída; y curvas de características operativas del receptor. Resultados: no se necesitaron modificaciones semánticas en los ítems. El instrumento demostró excelente consistencia interna (alfa de Cronbach = 0,95-0,97; omega de McDonald = .96-.98) y fiabilidad test-retest (r = 0,78-0,87; n = 29). Se observaron diferencias significativas entre grupos linfedema y sin linfedema (p < .001) en las escalas total, de síntomas (p < .001), físico-funcional (p < .001) y psicosocial (p < .001). El análisis de componentes principales para la “aparición de síntomas” reveló un factor unidimensional y se identificaron dos factores para la “angustia por síntomas” a través del análisis factorial exploratorio, explicando el 45,71% y el 54,77% de la varianza total de la muestra, respectivamente. Conclusiones: la versión española de BCLE-SEI mostró adecuadas propiedades psicométricas.

Referencias bibliográficas

  • Armer, J. M., Ballman, K. V., McCall, L., Ostby, P. L., Zagar, E., Kuerer, H. M., Hunt, K. K., & Boughey, J. C. (2019). Factors associated with lymphedema in women with node-positive breast cancer treated with neoadjuvant chemotherapy and axillary dissection. JAMA Surgery, 154(9), 800-809. https://doi.org/10.1001/jamasurg.2019.1742
  • Arndt, V., Koch-Gallenkamp, L., Bertram, H., Eberle, A., Holleczek, B., Pritzkuleit, R., Waldeyer-Sauerland, M., Waldmann, A., Zeissig, S. R., Doege, D., Thong, M., & Brenner, H. (2019). Return to work after cancer. A multi-regional population-based study from Germany. Acta Oncologica, 58(5), 811-818. https://doi.org/10.1080/0284186X.2018. 1557341
  • Asdourian, M. S., Swaroop, M. N., Sayegh, H. E., Brunelle, C. L., Mina, A. I., Zheng, H., Skolny, M., & Taghian, A. G. (2017). Association between precautionary behaviors and breast cancer-related lymphedema in patients undergoing bilateral surgery. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 35(35), 3934-3941. https://doi.org/10.1200/JCO.2017.73.7494
  • Bowman, C., Oberoi, D., Radke, L., Francis, G. J., & Carlson, L. E. (2021). Living with leg lymphedema: Developing a novel model of quality lymphedema care for cancer survivors. Journal of Cancer Survivorship: Research and Practice, 15(1), 140-150. https://doi.org/10.1007/s11764- 020-00919-2
  • Burns, D., Arora, J., Okunade, O., Beltrame, J. F., Bernardez-Pereira, S., Crespo-Leiro, M. G., Filippatos, G. S., Hardman, S., Hoes, A. W., Hutchinson, S., Jessup, M., Kinsella, T., Knapton, M., Lam, C., Masoudi, F. A., McIntyre, H., Mindham, R., Morgan, L., Otterspoor, L., Parker, V., … McDonagh, T. A. (2020). International consortium for health outcomes measurement (ICHOM): Standardized patient-centered outcomes measurement set for heart failure patients. JACC. Heart Failure, 8(3), 212-222. https://doi.org/10.1016/j.jchf.2019.09.007
  • Calderón, G. C., Navarro, G. D., Lorenzo, S. U., & Ferrando, P. P. (2019). Multidimensional or essentially unidimensional? A multi-faceted factoranalytic approach for assessing the dimensionality of tests and items. Psicothema, 31(4), 450-457. https://doi.org/10.7334/psicothema2019.153
  • Chaput, G., Ibrahim, M., & Towers, A. (2020). Cancer-related lymphedema: Clinical pearls for providers. Current Oncology, 27(6), 336-340. https:// doi.org/10.3747/co.27.7225
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
  • Fu, M. R., McDaniel, R. W., & Rhodes, V. A. (2007). Measuring symptom occurrence and symptom distress: Development of the symptom experience index. Journal of Advanced Nursing, 59(6), 623-634. https://doi.org/10.1111/j.1365-2648.2007.04335.x
  • Fu, M. R., Ridner, S. H., Hu, S. H., Stewart, B. R., Cormier, J. N., & Armer, J. M. (2013). Psychosocial impact of lymphedema: A systematic review of literature from 2004 to 2011. Psycho-oncology, 22(7), 1466-1484. https://doi.org/10.1002/pon.3201
  • Fu, M. R., Axelrod, D., Cleland, C. M., Guth, A. A., Qiu, Z., Kleinman, R., Scagliola, J., & Haber, J., (2015). Symptom reporting in detecting breast cancer-related lymphedema. Breast Cancer: Targets and Therapy, 7, 345-352. https://doi.org/10.2147/BCTT.S87854
  • Fu, M. R., Axelrod, D., Guth, A. A., Rampertaap, K., El-Shammaa, N., Hiotis, K., Scagliola, J., Yu, G., & Wang, Y. (2016). mHealth self-care interventions: Managing symptoms following breast cancer treatment. mHealth, 2(7). https://doi.org/10.21037/ mhealth.2016.07.03
  • Fu, M.R., Conley, Y.P., Axelrod, D., Amber, G.A., Yu, G., Fletcher, J., & Zagzag, D. (2016). Precision assessment of heterogeneity of lymphedema phenotype, genotypes and risk prediction. The Breast, 29, 231-240. http://dx.doi.org/10.1016/j.breast.2016.06.023
  • Fu, M. R., Wang, Y., Li, C., Qiu, Z., Axelrod, D., Guth, A. A., Scagliola, J., Conley, Y., Aouizerat, B. E., Qiu, J. M., Van Cleave, J. H., Yu, G., & Haber, J. (2018). Machine learning for detection of lymphedema among breast cancer survivors. mHealth, 4(17), 1-11. https://doi.org/10.21037/ mhealth.2018.04.02
  • Fu, M. R., McTernan, M. L., Qiu, J. M., Ko, E., Yazicioglu, S., Axelrod, D., Guth, A., Fan, Z., Sang, A., Miaskowski, C., & Wang, Y. (2021). The effects of kinect-enhanced lymphatic exercise intervention on lymphatic pain, swelling, and lymph fluid level. Integrative Cancer Therapies, 20, 1-14. https://doi.org/10.1177/15347354211026757
  • Gillespie, T. C., Sayegh, H. E., Brunelle, C. L., Daniell, K. M., & Taghian, A. G. (2018). Breast cancer-related lymphedema: Risk factors, precautionary measures, and treatments. Gland Surgery, 7(4), 379-403. https://doi.org/10.21037/gs.2017.11.04
  • Hernández, A., Ponsoda, V., Muñiz, J., Prieto, G., & Elosua, P. (2016). Revisión del modelo para evaluar la calidad de los tests utilizados en España [Review of the model to assess the quality of the tests used in Spain]. Papeles del Psicólogo, 37(3), 192-197.
  • Hernández, A., Hidalgo, M. D., Hambleton, R. K., & Gómez-Benito, J. (2020). International Test Commission guidelines for test adaptation: A criterion checklist. Psicothema, 32(3), 390-398. https://doi.org/10.7334/ psicothema2019.306
  • Hoyle, R. H. (2012). Handbook of Structural Equation Modeling. The Gilford Press.
  • International Agency for Research on Cancer (2020). The Global Cancer Observatory. https://gco.iarc.fr/today/data/factsheets/cancers/20-Breastfact-sheet.pdf
  • Islam, T., Dahlui, M., Majid, H. A., Nahar, A. M., Mohd Taib, N. A., Su, T. T., & MyBCC study group (2014). Factors associated with return to work of breast cancer survivors: A systematic review. BMC Public Health, 14(S8). https://doi.org/10.1186/1471-2458-14-S3-S8
  • Kline, R.B. (2011). Principles and Practice of Structural Equation Modeling. The Gilford Press.
  • Kwan, J., Famiyeh, P., Su, J., Xu, W., Kwan, B., Jones, J. M., Chang, E., Yip, K., & Liu, F. F. (2020). Development and validation of a risk model for breast cancer-related lymphedema. JAMA Network Open, 3(11), e2024373. https://doi.org/10.1001/jamanetworkopen.2020.24373
  • Lenhard, W., & Lenhard, A. (2016). Computation of effect sizes. Psychometrica. https://www.psychometrica.de/effect_size.html.
  • Li, K., Fu, M. R., Zhao, Q., & Chen, L. (2016). Translation and evaluation of Chinese version of the symptom experience index. International Journal of Nursing Practice, 22(6), 556-564. https://doi.org/10.1111/ijn.12464
  • Liu, F., Li, F., Fu, M.R., Zhao, Q., Wang, Y., Pang, D., Yang, P., Jin, S., & Lu, Q. (2021). Self-management strategies for risk reduction of subclinical and mild stage of breast cancer-related lymphedema: A longitudinal, quasi-experimental study. Cancer Nursing, 44(6), E493- E502. https://doi.org/10.1097/NCC.0000000000000919
  • Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). Exploratory factor análisis of ítems: A practical guide, revised and updated [El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada]. Anales de Psicología, 30(3), 1151-1169. https://doi.org/10.6018/analesps.30.3.199361
  • Nguyen, T. T., Hoskin, T. L., Habermann, E. B., Cheville, A. L., & Boughey, J. C. (2017). Breast cancer-related lymphedema risk is related to multidisciplinary treatment and not surgery alone: Results from a large cohort study. Annals of Surgical Oncology, 24(10), 2972-2980. https://doi.org/10.1245/s10434-017-5960-x
  • Paramanandam, V. S., Lee, M. J., Kilbreath, S. L., & Dylke, E. S. (2021). Self-reported questionnaires for lymphoedema: A systematic review of measurement properties using COSMIN framework. Acta Oncologica, 60(3), 379-391. https://doi.org/10.1080/0284186X.2020. 1862422
  • Ribeiro Pereira, A., Koifman, R. J., & Bergmann, A. (2017). Incidence and risk factors of lymphedema after breast cancer treatment: 10 years of follow-up. Breast, 36, 67-73. https://doi.org/10.1016/j. breast.2017.09.006
  • Roux, C., Villemur, B., Giovannoni, B., Koeyemelk, L., Mendelson, M., Benmerad, M., Joyeux-Faure, M., Tamisier, R., & Pepin, J. L. (2020). Prevalence of obstructive sleep apnea syndrome in patients with lymphedema referred for complete decongestive therapy. Journal of Vascular Surgery. Venous and Lymphatic Disorders, 8(1), 137-142. https://doi.org/10.1016/j.jvsv.2019.07.007
  • Rupp, J., Hadamitzky, C., Henkenberens, C., Christiansen, H., Steinmann, D., & Bruns, F. (2019). Frequency and risk factors for arm lymphedema after multimodal breast-conserving treatment of nodal positive breast cancer a long-term observation. Radiation Oncology, 14(39), 1-8. https://doi.org/10.1186/s13014-019-1243-y
  • Ryu, E., Kim, K., Choi, S. Y., Cleland, C. M., & Fu, M. R. (2013). The Korean version of the Symptom Experience Index: A psychometric study. International Journal of Nursing Studies, 50(8), 1098-1107. https://doi.org/10.1016/j.ijnurstu.2012.12.008
  • Sayegh, H. E., Asdourian, M. S., Swaroop, M. N., Brunelle, C. L., Skolny, M. N., Salama, L., & Taghian, A. G. (2017). Diagnostic methods, risk factors, prevention, and management of breast cancer-related lymphedema: Past, present, and future directions. Current Breast Cancer Reports, 9(2), 111-121. https://doi.org/10.1007/s12609-017- 0237-8
  • Shi, S., Lu, Q., Fu, M. R., Ouyang, Q., Liu, C., Lv, J., & Wang, Y. (2016). Psychometric properties of the Breast Cancer and Lymphedema Symptom Experience Index: The Chinese version. European Journal of Oncology Nursing: the Official Journal of European Oncology Nursing Society, 20, 10-16. https://doi.org/10.1016/j.ejon.2015.05.002
  • Smoot, B. J., Wong, J. F., & Dodd, M. J. (2011). Comparison of diagnostic accuracy of clinical measures of breast cancer-related lymphedema: Area under the curve. Archives of Physical Medicine and Rehabilitation, 92(4), 603-610. https://doi.org/10.1016/j.apmr.2010.11.017
  • Soran, A., Ozmen, T., McGuire, K. P., Diego, E. J., McAuliffe, P. F., Bonaventura, M., Ahrendt, G. M., DeGore, L., & Johnson, R. (2014). The importance of detection of subclinical lymphedema for the prevention of breast cancer-related clinical lymphedema after axillary lymph node dissection; a prospective observational study. Lymphatic Research and Biology, 12(4), 289-294. https://doi.org/10.1089/lrb.2014.0035
  • Temur, K., & Kapucu, S. (2019). The effectiveness of lymphedema self-management in the prevention of breast cancer-related lymphedema and quality of life: A randomized controlled trial. European Journal of Oncology Nursing: the Official Journal of European Oncology Nursing Society, 40, 22-35. https://doi.org/10.1016/j.ejon.2019.02.006
  • Viehoff, P. B., Gielink, P. D., Damstra, R. J., Heerkens, Y. F., van Ravensberg, D. C., & Neumann, M. H. (2015). Functioning in lymphedema from the patients’ perspective using the International Classification of Functioning, Disability and health (ICF) as a reference. Acta Oncologica, 54(3), 411-421. https://doi.org/10.3109/0 284186X.2014.952389
  • Washington, A. E., & Lipstein, S. H. (2011). The Patient-Centered Outcomes Research Institute-promoting better information, decisions, and health. The New England Journal of Medicine, 365(15), e31. https://doi.org/10.1056/NEJMp1109407
  • Youden, W.J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32- 35. https://doi.org/10.1002/1097-0142(1950)3:1<32::aid-cncr2820030 106>3.0.co;2-3
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