Validation of a self-efficacy scale for pharmacological adherence (MASES-R) with Mexican hypertensive patients
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Keywords

Arterial hypertension
Healthy behaviors
Therapeutic adherence
Self-efficacy
Psychological measurement Hipertensión arterial
Conductas saludables
Adherencia terapéutica
Autoeficacia
Medición psicológica

Abstract

Background: According to the World Health Organization, Systemic Arterial Hypertension (SAH) is a risk for cardiovascular diseases that cause millions of deaths in the world, making it essential to prevent and control it. Primary SAH is associated with behaviors that affect the cardiovascular system and with physiological hyperarousal derived from anxiety, anger, or excessive stress in frequency, duration, and intensity. Secondary SAH is related to underlying pathologies. The etiology of SAH involves taking antihypertensives and modifying behaviors longitudinally. Self-efficacy as a mediator and predictor of healthy behavior has been relevant in the health context, particularly in hypertension as an asymptomatic disease. This condition requires treatment based on a valid and reliable instrument tested with hypertensive Mexicans. Objective: Analyze the psychometric properties of the self-efficacy scale for medication adherence, revised (MASES-R). Design: Instrumental. Sample: 250 hypertensive patients: 146 (58.4%) were women and 104 (41.6%) men, with a mean age of 59.58 years (SD = 9.250). Instrument: The MASES-R scale was analyzed by three experts in behavioral medicine, who approved the translation into Spanish and the validity of the instrument's content. Procedure: Individual participants responded to the scale in a cubicle assigned by a public hospital. Results: The exploratory factor analysis (EFA) extended a one-dimensional scale, a total explained variance of 59.54%, α = 0.94, and Ω = 0.95. The confirmatory factor analysis (CFA) suggested an adequate adjustment (CMIN/DF = 1.404, p = .070, CFI = .994, TLI = .988, RMSEA = .04) when removing item 3, leaving 12 items, not the 13 from the original MASES-R. Its predictive capacity is suggested by correlations between medication self-efficacy and therapeutic adherence (r = .284, p = .001). Discussion: The MASES-R has adequate psychometric properties; it is brief and easily applicable to the Mexican population.

https://doi.org/10.25009/pys.v35i1.2959
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References

Al-Noumani, H., Wu, J.R., Barkdale, D., Sherwood, G., AlKhasawneh, E. y Knafl, G. (2019). Health beliefs and medication adherence in patients with hypertension: A systematic review of quantitative studies. Patient Education and Counseling, 102(6), 1045-1056.

Andrade, B. y Céspedes, V. (2017). Adherencia al tratamiento en enfermedad cardiovascular: rediseño y validación de un instrumento. Enfermería Universitaria, 14(4), 226-276.

Arnett, D.K., Blumenthal, R.S., Albert, M.A., Buroker, A.B., Goldberger, Z.D., Hahn, E.J., Himmelfarb, C.D., Khera, A., Lloyd-Jones, D., McEvoy, J.W., Michos, E.D., Miedema, M.D., Muñoz, D., Smith, S.C. Jr., Virani, S.S., Williams, K.A. Sr., Yeboah, J. y Ziaeian, B. (2019). 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation, 140, e596-e646. Doi: 10.1161/CIR.0000000000000678

Arrivillaga, M., Correa, D. y Salazar I., C. (2007). Psicología de la salud. Abordaje integral de la enfermedad crónica. El Manual Moderno.

Arrivillaga Q., M., Varela A., M., Cáceres R., D.L., Correa S., D. y Holguín P., L. (2007). Eficacia de un programa cognitivo-conductual para la disminución de los niveles de presión arterial. Pensamiento Psicológico, 3(9), 33-49.

Artinian, N.T., Fletcher, G.F., Mozaffarian, D., KrisEtherton, P., Van Horn, L., Lichtenstein, A. H., et al. (2010). Interventions to promote physical activity and dietary lifestyle changes for cardiovascular risk factor reduction in adults: A scientific statement from the American Heart Association. Circulation, 122(4), 406-441. Doi: 10.1161/CIR.0b013e3181e8edf1

Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317-332. Doi: 10.1007/BF02294359

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. Doi: 10.1037/0033-295X.84.2.191

Bandura, A. (1994). Social cognitive theory and exercise of control over HIV infection. En R. J. Diclemente y J. L. Peterson (Eds.): Preventing IADS: Theories and methods of behavioral interventions (pp. 25-59). New York: Plenum Press.

Bandura, A. (2001). Social cognitive theory: an agentic perspective. Annual Review of Psychology, 52, 1-26. Doi: 10.1146/annurev.psych.52.1.1

Blumenthal, J.A., Babyak, M.A., Hinderliter, A., Watkins, L.L., Craighead, L., Lin, P.-H., et al. (2010). Effects of the DASH diet alone and in combination with exercise and weight loss on blood pressure and cardiovascular biomarkers in men and women with high blood pressure. Archives of Internal Medicine, 170(2), 126-135. Doi: 10.1001/archinternmed.2009.47

Blumenthal, J.A., Rejeski, W.J., Walsh-Riddle, M., Emery, C.F., Miller, H., Roark, S., Ribisl, P.M., Morris, P.B., Brubaker, P., Williams, R.S. (1988). Comparison of high- and low-intensity exercise training early after acute myocardial infarction. The American Journal of Cardiology, 61, 26-30. Doi: 10.1016/0002-9149(88)91298-2

Borda, M., Pérez, S. y Blanco, A. (2000). Manual de técnicas de modificación de conducta en medicina comportamental. Sevilla, España: Universidad de Sevilla.

Epstein, D.E., Sherwood, A., Smith, P.J., Craighead, L., Caccia, C., Lin, P.H., Babyak, M.A., Johnson, J.J., Hinderliter, A. y Blumenthal, J.A. (2012). Determinants and consequences of adherence to the dietary approaches to stop hypertension diet in African-American and white adults with high blood pressure: results from the ENCORE trial. Journal of the Academic of Nutrition and Dietetics, 112(11), 1763-1773. Doi: 10.1016/j.jand.2012.07.007

Fernández, V. (2009). Eficacia de una intervención cognitivo-conductual en el tratamiento de la hipertensión arterial. Tesis doctoral inédita. Madrid: Universidad Complutense de Madrid. Recuperado de https://eprints.ucm.es/9651/

Fernández, S., Chaplin, W., Schoenthaler, A. y Ogedegbe, G. (2008). Revision and validation of the medication adherence self-efficacy scale (MASES) in hypertensive African Americans. Journal of Behavioral Medicine, 31, 453-462. Doi: 10.1007/s10865-008-9170-7

Gable, R.K. y Wolf, J.W. (1993). Instrument development in the affective domain: Measuring attitudes and values in corporate and school settings. Kluwer Academic.

González B., J., Calvo C., E., Sevilla S., D., Espaulella P., J., Codina J., C. y Santos R., B. (2017). Traducción y adaptación transcultural al español del cuestionario ARMS para la medida de la adherencia en pacientes pluripa¬tológicos. Atención Primaria, 49(8), 459-464.

González C., J.O., González, M.A., Vázquez, J. y Galán, S. (2015). Autoeficacia y adherencia terapéutica en personas con diabetes mellitus tipo 2. Revista de Investigación en Psicología, 18(1), 47-61. Doi: 10.15381/rinvp.v18i1.11772

Gordon, J. (2004). Developing and improving assessment instruments. Assessment in Education: Principles, Policy and Practice, 11(3), 243-245. Doi: 10.1080/0969594042000304573

Hambleton, R.K. (1996). Adaptación de tests para su uso en diferentes idiomas y culturas: fuentes de error, posibles soluciones y directrices prácticas. En J. Muñiz (Ed.): Psicometría (pp. 203-238). Madrid: Universitas.

Hambleton, R.K. y Jong, J.H. (2003). Advances in translating and adapting educational and psychological tests. Language Testing, 20(2), 127-134. Doi: 10.1191/0265532203lt247xx

Hair, J.F., Jr., Black, W.C., Babin, B.J. y Anderson, R.E. (2010). Multivariate data analysis (7th ed.). Prentice-Hall.

Hernández S., R., Fernández C., C. y Baptista L., P. (2014). Metodología de la investigación. McGraw-Hill.

Hu, L.T. y Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. Doi: 10.1080/10705519909540118

Instituto Nacional de Salud Pública (2016). Encuesta Nacional de Salud y Nutrición 2016. México: Autor. https://ensanut.insp.mx/encuestas/ensanut2016/index.php

Kerlinger, F. N. y Lee, H.B (2002). Investigación del comportamiento. Métodos de investigación en ciencias sociales. McGraw-Hill.

Kim, M.T., Hill, M.N, Bone, L.R. y Levine, D.M. (2000). Development and testing of the Hill-Bone Compliance to High Blood Pressure Therapy Scale. Progress in Cardiovascular Nursing, 15(3), 90-96. Doi: 10.1111/j.1751-7117.2000.tb00211.x

Kline, R. (2011). Principles and practice of structural equation modeling. The Guilford Press.

Lamarche, L., Tejpal, A. y Mangin, D. (2018). Self-efficacy for medication management: a systematic review of instruments. Patient Preference and Adherence, 23(12), 1279-1287.

Martos M., M.J. (2015). Autoeficacia y adherencia al tratamiento: el efecto mediador del apoyo social. Journal of Behavior, Health & Social Issues, 7(2), 19-29. Doi: 10.5460/jbhsi.v7.2.52889

Liu, M., Li, N., Li, W.A. y Khan, H. (2017). Association between psychosocial stress and hypertension: a systematic review and meta-analysis. Neurological Research, 39(6), 573-580. Doi: 10.1080/01616412.2017.1317904

Mena D., F. (2017). Autoeficacia y estrés como determinantes de adherencia en pacientes hipertensos. Tesis de maestría no publicada. Universidad de Concepción. Recuperado de http://repositorio.udec.cl/jspui/handle/11594/2559

Molerio, O. y García, G. (2004). Contribuciones y retos de la Psicología de la Salud en el abordaje de la hipertensión arterial esencial. Revista de Psicología, 13(2), 101-109. Recuperado de https://www.redalyc.org/pdf/264/26413208.pdf

Montero, I. y León, O.G. (2007). A guide for naming research studies in Psychology. International Journal of Clinical and Health Psychology, 7(3), 847-862.

Morata R., M., Holgado T., F.P., Barbero G., I. y Méndez, G. (2015). Análisis factorial confirmatorio: recomendaciones sobre mínimos cuadrados no ponderados en función del error tipo I de Ji-Cuadrado y RMSEA. Acción Psicológica, 12(1), 79-90. Doi: 10.5944/ap.12.1.14362

Nunnally, J.C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

Nunnally, J.C. y Bernstein, I. (1994). Psychometric theory. New York: McGraw-Hill.

Ogedegbe, G., Mancuso, C.A., Allegrante, J.P. y Charlson, M.E. (2003). Development and evaluation of a medication adherence self-efficacy scale in hypertensive African-American patients. Journal of Clinical Epidemiology, 56(6), 520-529. Doi: 10.1016/S0895-4356(03)00053-2

Organización Mundial de la Salud (2017). Enfermedades no transmisibles. Ginebra: OMS. Recuperado de http://www.who.int/mediacentre/factsheets/fs355/ es/

Pedraza B., G.L., Vega V., C.Z. y Nava Q., C. (2018). Versión actualizada de la Escala de Adherencia Terapéutica. Revista Digital Internacional de Psicología y Ciencia Social, 4(2), 214-232.

Pepper, J.K., Carpenter, D.M. y DeVellis, R.F. (2012). Does adherence-related support from physicians and partners predict medication adherence for vasculitis patients? Journal of Behavioral Medicine, 35(2), 115-123. Doi: 10.1007/s10865-012-9405-5

Reyes J., K. y Hernández P., M. (2012). Análisis crítico de los estudios que exploran la autoeficacia y bienestar vinculados al comportamiento saludable. Journal of Behavior, Health & Social Issues, 3(2), 5-24. Doi: 10.22201/fesi.20070780.2011.3.2.29915

Reynoso, L. (2014). Medicina conductual: Introducción. En: L. Reynoso y A.L. Becerra (Coords): Medicina conductual: teoría y práctica. Hermosillo: Qartuppi. Doi: 10.29410/QTP.14.01

Reynoso, L., Calderón, M.A. y Ruiz, L.S. (2012). Sistema cardiovascular. México: UNAM.

Riveros, A., Ceballos, G., Laguna, R. y Sánchez-Sosa, J.J. (2005). El manejo psicológico de la hipertensión esencial: Efectos de una intervención cognitivo-conductual. Revista Latinoamericana de Psicología, 37(3), 493-507.

Schoenthaler, A., Ogedegbe, G. y Allegrante, J. (2009). Self-efficacy mediates the relationship between depressive symptoms and medication adherence among hypertensive African Americans. Health Education & Behavior, 36(1), 127-137. Doi: 10.1177/1090198107309459

Sparrenberger, F., Cichelero, F.T., Ascoli, A.M., Fonseca, F.P., Weiss, G., Berwanger, O., Fuchs, S.C. Moreira, L.B. y Fuchs, F.D. (2009). Does psychosocial stress cause hypertension? A systematic review of observational studies. Journal of Human Hypertension, 23, 12-19. Doi: 10.1038/jhh.2008.74

Steptoe, A. y Kivimäki, M. (2013). Stress and cardiovascular disease: An update on current knowledge. Annual Review of Public Health, 34, 337-354. Doi: 10.1146/annurev-publhealth-031912-114452

Svarstad, B.L, Chewning, B.A, Sleath, B.L. y Claesson, C. (1999). The Brief Medication Questionnaire: a tool for screening patient adherence and barriers to adherence. Patient Educacion and Counseling, 37(2), 113-124. Doi: 10.1016/S0738-3991(98)00107-4

Val J., A., Amorós B., G., Martínez V., P., Fernández F., M.L. y León S., M. (1992). Estudio descriptivo del cumplimiento del tratamiento farmacológico antihipertensivo y validación del test de Morisky-Green. Atención Primaria, 10, 767-770.

Villalobos, A., Brenes, J., Quirós, D. y León, G. (2006). Características psicométricas de la Escala de Adherencia al Tratamiento de la Diabetes Mellitus Tipo II-Versión III (EATDM - III) en una muestra de pacientes diabéticos de Costa Rica. Acta Colombiana de Psicología, 9(2), 31-38.

Witte, R.S. y Witte, J.S. (2010). Statistics. Danvers, MA: Wiley.

Wu, J.R, Song, E.K. y Moser, D.K. (2015). Type D personality, self-efficacy, and medication adherence in patients with heart failure-A mediation analysis. Heart Lung, 44(4), 276-281. Doi: 10.1016/j.hrtlng.2015.03.006