Validez de constructo de la escala para evaluar la adherencia a procesos de neurorrehabilitación funcional (SMAN) en personas adultas
DOI:
https://doi.org/10.17533/udea.rfnsp.e341716Palabras clave:
Estudios de Validación, Encuestas y Cuestionarios, Cumplimiento y Adherencia al Tratamiento, Rehabilitación NeurológicaResumen
Objetivo: Determinar la validez de constructo de la escala para evaluar la adherencia a procesos de neurorrehabilitación funcional (sman) en personas adultas
Metodología: Estudio instrumental, con un diseño transversal, en el que se hace uso del método de análisis factorial confirmatorio para un modelo inicial de 5 factores y 20 ítems. Se utilizó el método de máxima verosimilitud y se realizaron pruebas de normalidad univariada y multivariada. El modelo hipotetizado se valoró con medidas de ajuste absoluto, ajuste incremental y ajuste de la parsimonia. Para el modelo definitivo, se calcularon estadísticos de fiabilidad, y validez convergente y discriminante, a través de matriz de correlaciones.
Resultados: Para el modelo inicial (M0), los índices de modificación mostraron cargas cruzadas, pertenecientes a los constructos de “discapacidad” y “paciente”; por tanto, se hizo una revisión teórica de los ítems del instrumento y se eliminaron dos ítems redundantes, uno en cada factor. Posterior a la reespecificación del modelo (M2), la sman quedo conformada por 5 factores y 18 ítems.
Conclusión: la sman posee propiedades psicométricas destacables y confiables para la medición de la adherencia en poblaciones con déficit funcional asociado a condición neurológica
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World Health Organization, editor. Neurological disorders: Public health challenges. Geneva: World Health Organization; 2006.
Jin J, Sklar GE, et al. Factors affecting therapeutic compliance: A review from the patient’s perspective. Ther Clin Risk Manag. 2008;4:269-86. DOI: https://DOI.org/10.2147/tcrm.s1458
Organización Mundial de la Salud. Adherencia a los tratamientos a largo plazo. Pruebas para la acción. Ginebra: Organización Panamericana de la Salud [internet]; 2004 [citado 2020 abr. 14]. Disponible en: https://www.paho.org/spanish/ad/dpc/nc/adherencia-largo-plazo.pdf
Coetzee N, Andrewes D, Khan F, et al. Predicting compliance with treatment following stroke: A new model of adherence following rehabilitation. Brain Impair: Cambridge University Pres. 2008;9(2):122-39. DOI: https://DOI.org/10.1375/brim.9.2.122
Bassett SF. The assessment of patient adherence to physiotherapy rehabilitation. NZ Journal of Physiotherapy. 2003 [citado 2020 abr. 27]; 31(2):60-66. Disponible en: https://www.researchgate.net/publication/284411604_The_assessment_of_patient_adherence_to_physiotherapy_rehabilitation
Duncan PW, Horner RD, Reker DM, et al. Adherence to postacute rehabilitation guidelines is associated with functional recovery in stroke. Stroke. 2002;33(1):167-78. DOI: https://DOI.org/10.1161/hs0102.101014
Mapipa HV. Identifying contributing factors for poor adherence to rehabilitative services in patients with neurological conditions [dissertation]. [Pretoria]: University of Pretoria [internet]; 2014 [citado 2020 may. 14]. Disponible en: https://repository.up.ac.za/handle/2263/46138
Duncan TE, McAuley E. Social support and efficacy cognitions in exercise adherence: A latent growth curve analysis. J Behav Med. 1993;16:199-218. DOI: https://DOI.org/10.1007/BF00844893
Frier A, Barnett F, Devine S. The relationship between social determinants of health, and rehabilitation of neurological conditions: a systematic literature review. Disabil Rehabil. 2017(10);39:941-8. DOI: https://DOI.org/10.3109/09638288.2016.1172672
Zinn S. Patient adherence in rehabilitation. H. Bosworth, E. Oddone, M. Weinberger, editors. Patient treatment adherence. Concepts, interventions, and measurement. Londres: Taylor & Francis; 2008. pp. 195-236 DOI: https://DOI.org/10.4324/9781410615626
Jurkiewicz MT, Marzolini S, Oh P. Adherence to a home-based exercise program for individuals after stroke. Top Stroke Rehabil. 2011;18(3):277-84. DOI: https://DOI.org/10.1310/tsr1803-277
Pishkhani MK, Dalvandi A, et al. Adherence to a rehabilitation regimen in stroke patients: A concept analysis. Iran J Nurs Midwifery Res. 2020;25:139-45. DOI: https://DOI.org/10.4103/ijnmr.IJNMR_170_18
Munce SEP, Graham ID, Salbach NM, et al. Perspectives of health care professionals on the facilitators and barriers to the implementation of a stroke rehabilitation guidelines cluster randomized controlled trial. bmc. Health Serv Res. 2017;17:440. DOI: https://DOI.org/10.1186/s12913-017-2389-7
Koudriavtseva T, Onesti E, Pestalozza IF, et al. The importance of physician–patient relationship for improvement of adherence to long-term therapy: Data of survey in a cohort of multiple sclerosis patients with mild and moderate disability. Neurol Sci. 2012;33:575-84. DOI: https://DOI.org/10.1007/s10072-011-0776-0
Khoshbakht Pishkhani M, Dalvandi A, Ebadi A, Hosseini M. Factors affecting adherence to rehabilitation in Iranian stroke patients: A qualitative study. J Vasc Nurs 2019;37(4):264-71. DOI: https://DOI.org/10.1016/j.jvn.2019.07.001
Wentink MM, Meesters J, Berger MAM, et al. Adherence of stroke patients with an online brain training program: The role of health professionals’ support. Top Stroke Rehabil. 2018;25(5):359-65. DOI: https://DOI.org/10.1080/10749357.2018.1459362
Turner AP, Knowles LM. Behavioral interventions in multiple sclerosis. Fed Pract. [internet]. 2020 [citado 2020 abr. 28]; 37(Suppl. 1):S31–S35. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182244/
Allen NE, Song J, Paul SS, et al. Predictors of adherence to a falls prevention exercise program for people with Parkinson’s disease. Mov Disord Clin Pract. 2015;2(4):395-401. DOI: https://DOI.org/10.1002/mdc3.12208
Colombo R, Pisano F, Mazzone A, et al. Design strategies to improve patient motivation during robot-aided rehabilitation. J NeuroEngineering Rehabil. 2007;4:3. DOI: https://DOI.org/10.1186/1743-0003-4-3
Suttanon P, Hill KD, Said CM, et al. Factors influencing commencement and adherence to a home-based balance exercise program for reducing risk of falls: Perceptions of people with Alzheimer’s disease and their caregivers. Int Psychogeriatr. 2012;24(7):1172-82. DOI: https://DOI.org/10.1017/S1041610211002729
Yao M, Chen J, Jing J, Sheng H, Tan X, Jin J. Defining the rehabilitation adherence curve and adherence phases of stroke patients: An observational study. Patient Prefer Adherence. 2017;11:1435-41. DOI: https://DOI.org/10.2147/PPA.S139854
Letendre SL, Ellis RJ, et al. Neurologic complications of hiv disease and their treatment. Top hiv Med. 2010;18(2):45-55.
Essery R, Geraghty AWA, et al. Predictors of adherence to home-based physical therapies: A systematic review. Disabil Rehabil. 2017;39(6):519-34. DOI: https://DOI.org/10.3109/09638288.2016.1153160
Glass SP, Matin N, Williams B, et al. Neuropsychiatric factors linked to adherence and short-term outcome in a U.S. functional neurological disorders clinic: A retrospective cohort study. J Neuropsychiatry Clin Neurosci. 2017;30:152-9. DOI: https://DOI.org/10.1176/appi.neuropsych.17060117
Tiedemann A, Sherrington C, Dean CM, et al. Predictors of adherence to a structured exercise program and physical activity participation in community dwellers after stroke. Stroke Res Treat. 2012;2012. DOI: https://DOI.org/10.1155/2012/136525
Amofa Sr PA, DeFeis B, De Wit L, et al. Functional ability is associated with higher adherence to behavioral interventions in mild cognitive impairment. Clin Neuropsychol. 2019;34(5):937-955. DOI: https://DOI.org/10.1080/13854046.2019.1672792
Silva MA, Calvo D, Brennan EM, et al. Incidence and predictors of adherence to sleep apnea treatment in rehabilitation inpatients with acquired brain injury. Sleep Med 2020;69:159-67. DOI: https://DOI.org/10.1016/j.sleep.2020.01.016
Grindley EJ, Zizzi SJ, Nasypany AM. Use of protection motivation theory, affect, and barriers to understand and predict adherence to outpatient rehabilitation. Phys Ther. 2008;88(12):1529-40. DOI: https://DOI.org/10.2522/ptj.20070076
Grindley EJ, Zizzi SJ. Using a multidimensional approach to predict motivation and adherence to rehabilitation in older adults. Top Geriatr Rehabil. 2005;21(3):182-93. DOI: https://DOI.org/10.1097/00013614-200507000-00004
Kernan WN. Keeping Faith With Patients After Stroke or Transient Ischemic Attack. jama Neurol. 2018;75(4):404-5. DOI: https://DOI.org/10.1001/jamaneurol.2017.4027
Clay DL, Hopps JA. Treatment adherence in rehabilitation: The role of treatment accommodation. Rehabil Psychol. 2003;48(3):215-9. DOI: https://DOI.org/10.1037/0090-5550.48.3.215
Iuga AO, McGuire MJ. Adherence and health care costs. Risk Manag Healthc Policy. 2014;7:35-44. DOI: https://DOI.org/10.2147/RMHP.S19801
Martín Alfonso L. Repercusiones para la salud pública de la adherencia terapéutica deficiente. Rev Cuba Salud Pública [internet]. 2006 [citado 2020 may. 13]; 32(3). Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-34662006000300013
Silva GE, Galeano E, Correa JO. Adherencia al tratamiento. Implicaciones de la no-adherencia. Acta Méd Colomb. [internet] 2005 [citado 2020 abr. 14]; 30(4):268-73. Disponible en: https://www.redalyc.org/pdf/1631/163113820004.pdf
Frost R, Levati S, McClurg D, et al. What adherence measures should be used in trials of home-based rehabilitation interventions? A systematic review of the validity, reliability, and acceptability of measures. Arch Phys Med Rehabil. 2017;98(6):1241-56.e45. DOI: https://DOI.org/10.1016/j.apmr.2016.08.482
Quiroz CA. Instrumento para evaluar adherencia de personas adultas a procesos de neurorehabilitación funcional basado en las dimensiones propuestas de la Organización Mundial de la Salud. Rev Fac Nac de Salud Pública [internet]. 2014 [citado 2020 abr. 14]; 32(1):52-61. Disponible en: https://revistas.udea.edu.co/index.php/fnsp/article/view/13378
Quiroz CA, Perez JE. Reliability instrument to assess adherence to adult long term functional neurorehabilitation process (sman 1.0). Physiotherapy. 2015;101(Supl. 1):e1245-6. DOI: https://DOI.org/10.1016/j.physio.2015.03.1147
Lloret-Segura S, Ferreres-Traver A, et al. El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. An Psicol. 2014;30(3):1151-69. DOI: https://DOI.org/10.6018/analesps.30.3.199361
Batista-Foguet JM, Coenders G, Alonso J. Análisis factorial confirmatorio. Su utilidad en la validación de cuestionarios relacionados con la salud. Med Clín. 2004;122(Supl. 1):21-27. DOI: https://DOI.org/10.1157/13057542
Ryu E. Effects of skewness and kurtosis on normal-theory based maximum likelihood test statistic in multilevel structural equation modeling. Behav Res Methods. 2011;43:1066-74. DOI: https://DOI.org/10.3758/s13428-011-0115-7
Rodríguez-Ayán MN, Ruiz-Díaz MA. Atenuación de la asimetría y de la curtosis de las puntuaciones observadas mediante transformaciones de variables: incidencia sobre la estructura factorial. Psicológica [internet]. 2008 [citado 2020 abr. 14]; 29(2): 205-27. Disponible en: https://www.redalyc.org/pdf/169/16929206.pdf
Byrne BM. Structural equation modeling with amos, basic concepts, applications and programming. 3.a ed. Nueva York: Routledge [internet]; 2016 [citado 2020 may. 14]. Disponible en: https://crispindia.org/wp-content/uploads/2016/11/Structural-equation-modeling-with-AMOS.pdf
Cole JC, Motivala SJ, Khanna D, et al. Validation of single-factor structure and scoring protocol for the health assessment questionnaire-disability index. Arthritis Care Res. 2005;53(4):536-42. DOI: https://DOI.org/10.1002/art.21325
Wheaton B, Muthén B, et al. Assessing reliability and stability in panel models. Sociol Methodol. 1977;8:84-136. DOI: https://DOI.org/10.2307/270754
Hooper D, Coughlan J, Mullen MR. Structural equation modelling: Guidelines for determining model fit. Electron J Bus Res Methods [internet] 2008 [citado 2020 abr. 14]; 6(1):53-60. Disponible en: https://arrow.tudublin.ie/buschmanart/2/
Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6(1):1-55. DOI: https://DOI.org/10.1080/10705519909540118
Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Mark Sci. 2015;43:115-35. DOI: https://DOI.org/10.1007/s11747-014-0403-8
Oviedo HC, Campo-Arias A. Aproximación al uso del coeficiente alfa de Cronbach. Rev Colomb Psiquiatr. [internet]. 2005 [citado 2020 abr. 14]; 34(4):572-80. Disponible en: https://www.redalyc.org/pdf/806/80634409.pdf
Dunn TJ, Baguley T, Brunsden V. From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. Br J Psychol. 2014;105(3):399-412. DOI: https://DOI.org/10.1111/bjop.12046
Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39-50. DOI: https://DOI.org/10.1177/002224378101800104
Prieto G, Delgado AR. Fiabilidad y validez. Papeles Psicólogo [internet]. 2010 [citado 2020 abr. 14]; 31(1):67-74. Disponible en: http://www.papelesdelpsicologo.es/pdf/1797.pdf
Shek DTL, Yu L. Confirmatory factor analysis using amos: A demonstration. Int J Disabil Hum Dev. 2014;13(2):191-204. DOI: https://DOI.org/10.1515/ijdhd-2014-0305
Rossini Y, Estrada O, et al. Factores relacionados con adherencia a un programa de rehabilitación. rfs Rev Fac Salud. 2010;2(1):39-50. DOI: https://DOI.org/10.25054/rfs.v2i1.28
Maclean N, Pound P, et al. The concept of patient motivation. Stroke. 2002;33(2):444-8. DOI: https://DOI.org/10.1161/hs0202.102367
Bandura A. The explanatory and predictive scope of self-efficacy theory. J Soc Clin Psychol. 1986;4(3):359-73. DOI: https://DOI.org/10.1521/jscp.1986.4.3.359
Morris JH, Oliver T, Kroll T, Joice S, Williams B. Physical activity participation in community dwelling stroke survivors: Synergy and dissonance between motivation and capability. A qualitative study. Physiotherapy. 2017;103(3):311-21. DOI: https://DOI.org/10.1016/j.physio.2016.05.001
Levy T, Laver K, Killington M, et al. A systematic review of measures of adherence to physical exercise recommendations in people with stroke. Clin Rehabil. 2019;33(3):535-45. DOI: https://DOI.org/10.1177/0269215518811903
Sharot T. The optimism bias. Curr Biol. 2011;21(23):R941-5. DOI: https://DOI.org/10.1016/j.cub.2011.10.030
Van de Mortel TF. Faking it: Social desirability response bias in self-report research. Australian J Advanced Nursing [internet]. 2005 [citado 2020 abr. 14]; 25(4): 40-48. Disponible en: https://www.ajan.com.au/archive/Vol25/Vol_25-4_vandeMortel.pdf
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