Skip to main content
Top
Gepubliceerd in:

15-06-2016

Predictors of medication adherence: fact or artifact

Auteurs: Jacqueline Dunbar-Jacob, Jeffrey M. Rohay

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 6/2016

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Numerous studies have examined socio-demographic, psychosocial, and other factors as potential contributors to poor adherence. Variability exists in the strength and consistency of findings. We speculated that the method of measuring adherence might be a factor in the variability in identification of predictor variables. We examined the identification of predictors of adherence by method of measurement in two randomized, controlled trials of adherence interventions. Both studies used the Aardex Medication Event Monitor and the Morisky Self-Report Scale. Twenty-one days of baseline data from 698 subjects were examined in relation to measures of depression, functional status, perceived therapeutic efficacy, number of co-morbidities, and socio-demographic indices. Analysis included Spearman rho, Pearson r, and multiple logistic regression. Differences in the identification of predictors between adherence measurement methods were identified. These data support the hypothesis that different measurement methods yield different predictors of adherence.
Literatuur
go back to reference Ammassari, A., Trotta, M. P., Murri, R., Casstelli, F., Narciso, P., Noto, P., et al. (2002). Correlates and predictors of adherence to highly active antiretroviral therapy: Overview of published literature. Journal of Acquired Immunodeficiency Syndrome, 31, S123–S127.CrossRef Ammassari, A., Trotta, M. P., Murri, R., Casstelli, F., Narciso, P., Noto, P., et al. (2002). Correlates and predictors of adherence to highly active antiretroviral therapy: Overview of published literature. Journal of Acquired Immunodeficiency Syndrome, 31, S123–S127.CrossRef
go back to reference Andresen, E. M., Bowley, N., Rothenberg, B. M., Panzer, R., & Katz, P. (1996). Test–retest performance of a mailed version of the Medical Outcomes Study 36-item Short-Form Health Survey among older adults. Medical Care, 34, 1165–1170.CrossRefPubMed Andresen, E. M., Bowley, N., Rothenberg, B. M., Panzer, R., & Katz, P. (1996). Test–retest performance of a mailed version of the Medical Outcomes Study 36-item Short-Form Health Survey among older adults. Medical Care, 34, 1165–1170.CrossRefPubMed
go back to reference Arnston, J. H., Demes, P. A., Farzadegan, H., Grant, R. W., Gourevitch, M. N., Chang, C.-J., et al. (2001). Antiretroviral therapy adherence and viral suppression in HIV-infected drug users: Comparison of self-report and electronic monitoring. Clinical Infectious Diseases, 33, 1417–1423.CrossRef Arnston, J. H., Demes, P. A., Farzadegan, H., Grant, R. W., Gourevitch, M. N., Chang, C.-J., et al. (2001). Antiretroviral therapy adherence and viral suppression in HIV-infected drug users: Comparison of self-report and electronic monitoring. Clinical Infectious Diseases, 33, 1417–1423.CrossRef
go back to reference Baggarly, S. A., Kemp, R. J., Wang, X., & Magoun, D. (2014). Factors associated with medication adherence and persistence of treatment for hypertension in a Medicaid population. Research in Social and Administrative Pharmacy, 10, e99–e112.CrossRefPubMed Baggarly, S. A., Kemp, R. J., Wang, X., & Magoun, D. (2014). Factors associated with medication adherence and persistence of treatment for hypertension in a Medicaid population. Research in Social and Administrative Pharmacy, 10, e99–e112.CrossRefPubMed
go back to reference Balkrishnan, R., Carroll, C. L., Camacho, F. T., & Feldman, S. R. (2003). Electronic monitoring of medication adherence in skin disease: Results of a pilot study. Journal of the American Academy of Dermatology, 49, 651–654.CrossRefPubMed Balkrishnan, R., Carroll, C. L., Camacho, F. T., & Feldman, S. R. (2003). Electronic monitoring of medication adherence in skin disease: Results of a pilot study. Journal of the American Academy of Dermatology, 49, 651–654.CrossRefPubMed
go back to reference Beatty, L., & Binnion, C. (2016). A systematic review of predictors of, and reasons for, adherence to online psychological interventions. International Journal of Behavioral Medicine, 23, 1–19. doi:10.1007/s12529-016-9556-9 Beatty, L., & Binnion, C. (2016). A systematic review of predictors of, and reasons for, adherence to online psychological interventions. International Journal of Behavioral Medicine, 23, 1–19. doi:10.​1007/​s12529-016-9556-9
go back to reference Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation. Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation.
go back to reference Berg, J., Dunbar-Jacob, J., & Rohay, J. M. (1998). Compliance with inhaled medications: The relationship between diary and electronic monitor. Annals of Behavioral Medicine, 20, 36–38.CrossRefPubMed Berg, J., Dunbar-Jacob, J., & Rohay, J. M. (1998). Compliance with inhaled medications: The relationship between diary and electronic monitor. Annals of Behavioral Medicine, 20, 36–38.CrossRefPubMed
go back to reference Breaux-Shropshire, T. L., Brown, K. C., Pryor, E. R., & Maples, E. H. (2012). Relationship of blood pressure self-monitoring, medication adherence, self-efficacy, stage of change, and blood pressure control among municipal workers with hypertension. Workplace Health and Safety, 60, 303–311.CrossRefPubMed Breaux-Shropshire, T. L., Brown, K. C., Pryor, E. R., & Maples, E. H. (2012). Relationship of blood pressure self-monitoring, medication adherence, self-efficacy, stage of change, and blood pressure control among municipal workers with hypertension. Workplace Health and Safety, 60, 303–311.CrossRefPubMed
go back to reference Burney, K. D., Krishnan, K., Ruffin, M. T., Zhang, D., & Brenner, D. E. (2009). Adherence to single daily dose of aspirin in a chemoprevention trial: An evaluation of self-report and microelectronic monitoring. Archives of Family Medicine, 5, 297–300.CrossRef Burney, K. D., Krishnan, K., Ruffin, M. T., Zhang, D., & Brenner, D. E. (2009). Adherence to single daily dose of aspirin in a chemoprevention trial: An evaluation of self-report and microelectronic monitoring. Archives of Family Medicine, 5, 297–300.CrossRef
go back to reference Chapman, R. H., Benner, J. S., Petrilla, A. A., Tierce, J. C., Collins, S. R., Battleman, D. S., & Schwartz, J. S. (2005). Predictors of adherence with antihypertensive and lipid-lowering therapy. Archives of Internal Medicine, 165, 1147–1152. doi:10.1001/archinte.165.10.1147 CrossRefPubMed Chapman, R. H., Benner, J. S., Petrilla, A. A., Tierce, J. C., Collins, S. R., Battleman, D. S., & Schwartz, J. S. (2005). Predictors of adherence with antihypertensive and lipid-lowering therapy. Archives of Internal Medicine, 165, 1147–1152. doi:10.​1001/​archinte.​165.​10.​1147 CrossRefPubMed
go back to reference Charles, H., Good, C. B., Hanusa, B. H., Chang, C.-C. H., & White, J. (2003). Racial differences in adherence to cardiac medications. Journal of the National Medical Association, 95, 17–27.PubMedPubMedCentral Charles, H., Good, C. B., Hanusa, B. H., Chang, C.-C. H., & White, J. (2003). Racial differences in adherence to cardiac medications. Journal of the National Medical Association, 95, 17–27.PubMedPubMedCentral
go back to reference CMS.gov. Centers for Medicare and Medicaid Services. (2016). Quality Measures. Cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/Quality Measures/index.html. CMS.gov. Centers for Medicare and Medicaid Services. (2016). Quality Measures. Cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/Quality Measures/index.html.
go back to reference Cohen, M. J., Shaykevich, S., Cawthon, C., Kripalani, S., Paasche-Orlow, M., & Schnipper, J. L. (2012). Predictors of medication adherence post-discharge: The impact of patient age, insurance status and prior adherence. Journal of Hospital Medicine, 7, 470–475. doi:10.1002/jhm.1940 CrossRefPubMedPubMedCentral Cohen, M. J., Shaykevich, S., Cawthon, C., Kripalani, S., Paasche-Orlow, M., & Schnipper, J. L. (2012). Predictors of medication adherence post-discharge: The impact of patient age, insurance status and prior adherence. Journal of Hospital Medicine, 7, 470–475. doi:10.​1002/​jhm.​1940 CrossRefPubMedPubMedCentral
go back to reference Colletti, D. J., Stephanou, H., Mazzola, N., Conigliaro, J., Gotttridge, J., & Kane, J. M. (2015). Patterns and predictors of medication discrepancies in primary care. Journal of Evaluation in Clinical Practice, 21, 831–839. doi:10.1111/jep.12387 CrossRef Colletti, D. J., Stephanou, H., Mazzola, N., Conigliaro, J., Gotttridge, J., & Kane, J. M. (2015). Patterns and predictors of medication discrepancies in primary care. Journal of Evaluation in Clinical Practice, 21, 831–839. doi:10.​1111/​jep.​12387 CrossRef
go back to reference Daniels, T., Goodacre, L., Sutton, C., Pollard, K., Conway, S., & Peckmah, D. (2011). Accurate assessment of adherence: Self-report and clinician report versus electronic monitoring of nebulizers. Chest, 140, 425–432.CrossRefPubMed Daniels, T., Goodacre, L., Sutton, C., Pollard, K., Conway, S., & Peckmah, D. (2011). Accurate assessment of adherence: Self-report and clinician report versus electronic monitoring of nebulizers. Chest, 140, 425–432.CrossRefPubMed
go back to reference Demiray, B., & Janssen, S. M. J. (2015). The self-enhancement function of autobiographical memory. Applied Cognitive Psychology, 29, 49–60.CrossRef Demiray, B., & Janssen, S. M. J. (2015). The self-enhancement function of autobiographical memory. Applied Cognitive Psychology, 29, 49–60.CrossRef
go back to reference Driscoll, K. A., Yang, F., Johnson, S. B., Deeb, L. C., Tang, Y., & Silverman, J. H. (2011). Does blood glucose monitoring increase prior to clinic visits in children with type 1 diabetes? Diabetes Care, 34, 2170–2173.CrossRefPubMedPubMedCentral Driscoll, K. A., Yang, F., Johnson, S. B., Deeb, L. C., Tang, Y., & Silverman, J. H. (2011). Does blood glucose monitoring increase prior to clinic visits in children with type 1 diabetes? Diabetes Care, 34, 2170–2173.CrossRefPubMedPubMedCentral
go back to reference Dunbar-Jacob, J., Burke, L.E., Schlenk, E. A., & Sereika, S. (2006). The perceived therapeutic efficacy scale. In Measurement: Design and development of instrumentation to assess patient attitudes and beliefs and to collect background information. Paper presented in a symposium at Sigma Theta Tau International Honor Society of Nursing 17th International Nursing Research Congress, Montreal, QC. Dunbar-Jacob, J., Burke, L.E., Schlenk, E. A., & Sereika, S. (2006). The perceived therapeutic efficacy scale. In Measurement: Design and development of instrumentation to assess patient attitudes and beliefs and to collect background information. Paper presented in a symposium at Sigma Theta Tau International Honor Society of Nursing 17th International Nursing Research Congress, Montreal, QC.
go back to reference Dunbar-Jacob, J., Schlenk, E. A., Burke, L. E., & Matthews, J. T. (1998). Predictors of patient adherence: Patient characteristics. In S. A. Shumaker, E. B. Schron, J. K. Ockene, & W. L. McBee (Eds.), The handbook of health behavior change (2nd ed., p. 511). New York: Springer Publishing Company. Dunbar-Jacob, J., Schlenk, E. A., Burke, L. E., & Matthews, J. T. (1998). Predictors of patient adherence: Patient characteristics. In S. A. Shumaker, E. B. Schron, J. K. Ockene, & W. L. McBee (Eds.), The handbook of health behavior change (2nd ed., p. 511). New York: Springer Publishing Company.
go back to reference Dunbar-Jacob, J., Sereika, S., Burke, L.E., Kwoh, C.K., Rosella, J., McCall, M., Locke, C., Holmes, J., Bondi, K., Canty, T., & Starz, T. (1993). Perceived treatment efficacy: Assessment in rheumatoid arthritis. Paper presented at the 14th Society of Behavioral Medicine Annual Meeting & Scientific Sessions, San Francisco, CA. Dunbar-Jacob, J., Sereika, S., Burke, L.E., Kwoh, C.K., Rosella, J., McCall, M., Locke, C., Holmes, J., Bondi, K., Canty, T., & Starz, T. (1993). Perceived treatment efficacy: Assessment in rheumatoid arthritis. Paper presented at the 14th Society of Behavioral Medicine Annual Meeting & Scientific Sessions, San Francisco, CA.
go back to reference Dunbar-Jacob, J., Sereika, S., & Tamres, L. (2004). Is poor adherence influenced by the number of co-morbidities? Symposium on the Explanatory Role of Comorbidity in Variation of Regimen Adherence presented at the 2004 National Congress on the State of the Science in Nursing Research, Washington, DC. Dunbar-Jacob, J., Sereika, S., & Tamres, L. (2004). Is poor adherence influenced by the number of co-morbidities? Symposium on the Explanatory Role of Comorbidity in Variation of Regimen Adherence presented at the 2004 National Congress on the State of the Science in Nursing Research, Washington, DC.
go back to reference Essink-Bok, M.-L., Krabbe, P. F., Bonsel, G. J., & Aaronson, N. K. (1997). An empirical comparison of four generic health status measures: The nottingham health profile, the Medical Outcomes Study 36-Item Short Form Health Survey, the COOP/WONCA Charts, and the EuroQol Instrument. Medical Care, 35, 522–537.CrossRef Essink-Bok, M.-L., Krabbe, P. F., Bonsel, G. J., & Aaronson, N. K. (1997). An empirical comparison of four generic health status measures: The nottingham health profile, the Medical Outcomes Study 36-Item Short Form Health Survey, the COOP/WONCA Charts, and the EuroQol Instrument. Medical Care, 35, 522–537.CrossRef
go back to reference Gellad, W. F., Grenard, J. L., & Marcum, Z. A. (2011). A systematic review of barriers to medication adherence in the elderly. Looking beyond cost and regimen complexity. The American Journal of Geriatric Pharmacology, 9, 11–13.CrossRef Gellad, W. F., Grenard, J. L., & Marcum, Z. A. (2011). A systematic review of barriers to medication adherence in the elderly. Looking beyond cost and regimen complexity. The American Journal of Geriatric Pharmacology, 9, 11–13.CrossRef
go back to reference Gellad, W. F., Grenard, J., & McGlynn, E. A. (2009). A review of barriers to mediation adherence: a framework for driving policy options: A technical report. Santa Monica, CA: Rand Corporation. Gellad, W. F., Grenard, J., & McGlynn, E. A. (2009). A review of barriers to mediation adherence: a framework for driving policy options: A technical report. Santa Monica, CA: Rand Corporation.
go back to reference Gerber, B. S., Cho, Y. I., Arozullah, A. M., & Lee, S.-Y. D. (2010). Racial differences in medication adherence: A cross-sectional study of medicare enrollees. The American Journal of Geriatric Pharmacotherapy, 8, 136–145.CrossRefPubMedPubMedCentral Gerber, B. S., Cho, Y. I., Arozullah, A. M., & Lee, S.-Y. D. (2010). Racial differences in medication adherence: A cross-sectional study of medicare enrollees. The American Journal of Geriatric Pharmacotherapy, 8, 136–145.CrossRefPubMedPubMedCentral
go back to reference Grenard, J. L., Munjas, B. A., Adams, J. A., Suttorp, M., Maglioone, M., McGlynn, E. A., & Gellad, W. F. (2011). Depression and medication adherence in the treatment of chronic diseases in the United States: A meta-analysis. Journal of General Internal Medicine, 26, 1175–1182.CrossRefPubMedPubMedCentral Grenard, J. L., Munjas, B. A., Adams, J. A., Suttorp, M., Maglioone, M., McGlynn, E. A., & Gellad, W. F. (2011). Depression and medication adherence in the treatment of chronic diseases in the United States: A meta-analysis. Journal of General Internal Medicine, 26, 1175–1182.CrossRefPubMedPubMedCentral
go back to reference Grigoryan, L., Pavlik, V. N., & Hyman, D. J. (2012). Predictors of antihypertensive medication adherence in two urban health-care systems. American Journal of Hypertension, 25, 735–738.CrossRefPubMed Grigoryan, L., Pavlik, V. N., & Hyman, D. J. (2012). Predictors of antihypertensive medication adherence in two urban health-care systems. American Journal of Hypertension, 25, 735–738.CrossRefPubMed
go back to reference Haynes, R. B. (1979). Determinants of compliance: The disease and the mechanics of treatment. In R. B. Haynes, D. W. Taylor, & D. L. Sackett (Eds.), Compliance in health care (pp. 49–62). Baltimore: The Johns Hopkins University Press. Haynes, R. B. (1979). Determinants of compliance: The disease and the mechanics of treatment. In R. B. Haynes, D. W. Taylor, & D. L. Sackett (Eds.), Compliance in health care (pp. 49–62). Baltimore: The Johns Hopkins University Press.
go back to reference Haynes, R. B., Gibson, E. S., Hackett, B. C., Sackett, D. L., Taylor, D. W., Roberts, R. S., & Johnson, A. L. (1976). Improvement of medication compliance in uncontrolled hypertension. The Lancet, 307(7972), 1265–1268. doi:10.1016/S0140-6736(76)91737-2.CrossRef Haynes, R. B., Gibson, E. S., Hackett, B. C., Sackett, D. L., Taylor, D. W., Roberts, R. S., & Johnson, A. L. (1976). Improvement of medication compliance in uncontrolled hypertension. The Lancet, 307(7972), 1265–1268. doi:10.​1016/​S0140-6736(76)91737-2.CrossRef
go back to reference Hertzog, C., Van Alsine, J., Usala, P. D., Hultsch, D. F., & Dixon, R. (1990). Measurement properties of the Center for Epidemiologic Studies Depression Scale (CES-D) in older populations. Psychological Assessment, 2, 64–72.CrossRef Hertzog, C., Van Alsine, J., Usala, P. D., Hultsch, D. F., & Dixon, R. (1990). Measurement properties of the Center for Epidemiologic Studies Depression Scale (CES-D) in older populations. Psychological Assessment, 2, 64–72.CrossRef
go back to reference Kapoor, J., Agrawal, N., Ahmed, R., Sharma, S. K., Gupta, A., & Bhurani, D. (2015). Factors influencing adherence to imatinib in Indian chronic myeloid leukemia patients: A cross-sectional study. Mediterranean Journal of Hematology and Infectious Disease, 7, e2015013.CrossRef Kapoor, J., Agrawal, N., Ahmed, R., Sharma, S. K., Gupta, A., & Bhurani, D. (2015). Factors influencing adherence to imatinib in Indian chronic myeloid leukemia patients: A cross-sectional study. Mediterranean Journal of Hematology and Infectious Disease, 7, e2015013.CrossRef
go back to reference Kardas, P., Lewek, P., & Matvyjaszczyk, M. (2013). Determinants of patient adherence: A review of systematic reviews. Frontiers in Pharmacology, 4, paper 91.CrossRef Kardas, P., Lewek, P., & Matvyjaszczyk, M. (2013). Determinants of patient adherence: A review of systematic reviews. Frontiers in Pharmacology, 4, paper 91.CrossRef
go back to reference Krapek, K., King, K., Warren, S. S., George, K. G., Caputo, D. A., Mihelich, K., et al. (2004). Medication Adherence and Associated Hemoglobin A1c in type 2 diabetes. Annals of Pharmacotherapy, 38, 357–1362.CrossRef Krapek, K., King, K., Warren, S. S., George, K. G., Caputo, D. A., Mihelich, K., et al. (2004). Medication Adherence and Associated Hemoglobin A1c in type 2 diabetes. Annals of Pharmacotherapy, 38, 357–1362.CrossRef
go back to reference Kulkami, S. P., Alexander, K. P., Lytle, B., Heiss, G., & Peterson, E. D. (2006). Long-term adherence with cardiovascular drug regimens. American Heart Journal, 151, 185–191.CrossRef Kulkami, S. P., Alexander, K. P., Lytle, B., Heiss, G., & Peterson, E. D. (2006). Long-term adherence with cardiovascular drug regimens. American Heart Journal, 151, 185–191.CrossRef
go back to reference Mann, D. M., Ponieman, D., Leventhal, H., & Halm, E. A. (2009). Predictors of adherence to diabetes medications: The role of disease and medication beliefs. Journal of Behavioral Medicine, 32, 278–284.CrossRefPubMed Mann, D. M., Ponieman, D., Leventhal, H., & Halm, E. A. (2009). Predictors of adherence to diabetes medications: The role of disease and medication beliefs. Journal of Behavioral Medicine, 32, 278–284.CrossRefPubMed
go back to reference Mann, D. M., Woodward, M., Muntner, P., Falzon, L., & Kronish, I. (2010). Predictors of nonadherence to statins: A systematic review and meta-analysis. Annals of Pharmacotherapy, 44, 1410–1421.CrossRefPubMedPubMedCentral Mann, D. M., Woodward, M., Muntner, P., Falzon, L., & Kronish, I. (2010). Predictors of nonadherence to statins: A systematic review and meta-analysis. Annals of Pharmacotherapy, 44, 1410–1421.CrossRefPubMedPubMedCentral
go back to reference McHorney, C. A., Ware, J. E., Lu, J. F. R., & Sherbourne, C. D. (1994). The MOS 36-item short-form health survey (SF 36): III. Tests of data quality, scaling assumption, and reliability across diverse patient groups. Medical Care, 31, 40–66.CrossRef McHorney, C. A., Ware, J. E., Lu, J. F. R., & Sherbourne, C. D. (1994). The MOS 36-item short-form health survey (SF 36): III. Tests of data quality, scaling assumption, and reliability across diverse patient groups. Medical Care, 31, 40–66.CrossRef
go back to reference McHorney, C. A., Ware, J. E., & Raczek, A. E. (1993). The MOS 36-item short-form health survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31, 247–263.CrossRefPubMed McHorney, C. A., Ware, J. E., & Raczek, A. E. (1993). The MOS 36-item short-form health survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31, 247–263.CrossRefPubMed
go back to reference Menon, G. (1994). Judgments of behavioral frequencies: Memory search and retrieval strategies. In N. Schwartz & S. Sudman (Eds.), Autobiographical memory and the validity of retrospective reports (pp. 161–172). New York: Springer.CrossRef Menon, G. (1994). Judgments of behavioral frequencies: Memory search and retrieval strategies. In N. Schwartz & S. Sudman (Eds.), Autobiographical memory and the validity of retrospective reports (pp. 161–172). New York: Springer.CrossRef
go back to reference Morisky, D. E., Ang, A., Krousel-Wood, M., & Ward, H. J. (2008). Predictive validity of a medication adherence measure in an outpatient setting. The Journal of Clinical Hypertension, 10, 348–354.CrossRefPubMedPubMedCentral Morisky, D. E., Ang, A., Krousel-Wood, M., & Ward, H. J. (2008). Predictive validity of a medication adherence measure in an outpatient setting. The Journal of Clinical Hypertension, 10, 348–354.CrossRefPubMedPubMedCentral
go back to reference Morisky, D. E., Green, L. W., & Levine, D. M. (1986). Concurrent and predictive validity of a self-reported measure of medication adherence. Medical Care, 24, 67–74.CrossRefPubMed Morisky, D. E., Green, L. W., & Levine, D. M. (1986). Concurrent and predictive validity of a self-reported measure of medication adherence. Medical Care, 24, 67–74.CrossRefPubMed
go back to reference Nelson, M. R., Reid, C. M., Ryan, P., Wilson, K., Yelland, L., & ANBP2Management Committee. (2006). Self-reported adherence with medication and cardiovascular disease outcomes in the Second Australian National Blood Pressure Study (ANBP2). Medical Journal of Australia, 185, 487–489.PubMed Nelson, M. R., Reid, C. M., Ryan, P., Wilson, K., Yelland, L., & ANBP2Management Committee. (2006). Self-reported adherence with medication and cardiovascular disease outcomes in the Second Australian National Blood Pressure Study (ANBP2). Medical Journal of Australia, 185, 487–489.PubMed
go back to reference Obidoa, C. A., Reisine, S. L., & Chemiack, M. (2010). How does the SF-36 perform in healthy populations? A structured review of longitudinal studies. Journal of Social, Behavioral and Health Sciences, 4, 11–30. Obidoa, C. A., Reisine, S. L., & Chemiack, M. (2010). How does the SF-36 perform in healthy populations? A structured review of longitudinal studies. Journal of Social, Behavioral and Health Sciences, 4, 11–30.
go back to reference Osborn, C. Y., Cavanaugh, K., Wallston, K. A., Kripalani, S., Elasy, T. A., Rothman, R. L., & White, R. O. (2011). Health literacy explains racial disparities in diabetes medication adherence. Journal of Health Communication: International Perspectives., 16, 268–278. doi:10.1080/10810730.2011.604388 CrossRef Osborn, C. Y., Cavanaugh, K., Wallston, K. A., Kripalani, S., Elasy, T. A., Rothman, R. L., & White, R. O. (2011). Health literacy explains racial disparities in diabetes medication adherence. Journal of Health Communication: International Perspectives., 16, 268–278. doi:10.​1080/​10810730.​2011.​604388 CrossRef
go back to reference Patel, M., Perrrin, K., Prichaard, A., Williams, M., Wijesinghe, M., Weatherall, M., & Beasley, R. (2013). Accuracy of patient self-report as a measure of inhaled asthma medication use. Respirology, 18, 546–552.CrossRefPubMed Patel, M., Perrrin, K., Prichaard, A., Williams, M., Wijesinghe, M., Weatherall, M., & Beasley, R. (2013). Accuracy of patient self-report as a measure of inhaled asthma medication use. Respirology, 18, 546–552.CrossRefPubMed
go back to reference Quinlan, P., Price, K. O., Magid, S. K., Lyman, S., Mandl, L. A., & Stone, S. W. (2013). The relationship among health literacy, health knowledge, and adherence to treatment in patients with rheumatoid arthritis. HSS Journal, 9, 42–49.CrossRefPubMed Quinlan, P., Price, K. O., Magid, S. K., Lyman, S., Mandl, L. A., & Stone, S. W. (2013). The relationship among health literacy, health knowledge, and adherence to treatment in patients with rheumatoid arthritis. HSS Journal, 9, 42–49.CrossRefPubMed
go back to reference Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.CrossRef Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.CrossRef
go back to reference Richie, T. D., Skowronski, J. J., Cadogan, S., & Sedikides, C. (2014). Affective responses to self-defining autobiographical events. Self and Identity, 13, 513–534.CrossRef Richie, T. D., Skowronski, J. J., Cadogan, S., & Sedikides, C. (2014). Affective responses to self-defining autobiographical events. Self and Identity, 13, 513–534.CrossRef
go back to reference Rogers, R. E. (1980). Reliability of the CES-D scale in different ethnic contexts. Psychiatry Research, 2, 125–134.CrossRef Rogers, R. E. (1980). Reliability of the CES-D scale in different ethnic contexts. Psychiatry Research, 2, 125–134.CrossRef
go back to reference Schacter, D. (2001). The sin of absentmindedness, the seven sins of memory: How the mind forgets and remembers (pp. 41–60). Boston: Houghton Mifflin Harcourt. Schacter, D. (2001). The sin of absentmindedness, the seven sins of memory: How the mind forgets and remembers (pp. 41–60). Boston: Houghton Mifflin Harcourt.
go back to reference Segal, D. L., Coolidge, F. L., Cahill, B. S., & Riley, A. A. (2008). Psychometric properties of the Beck Depression Inventory-II (BDI-II) among community-dwelling older adults. Behavior Modification, 32, 3–23.CrossRefPubMed Segal, D. L., Coolidge, F. L., Cahill, B. S., & Riley, A. A. (2008). Psychometric properties of the Beck Depression Inventory-II (BDI-II) among community-dwelling older adults. Behavior Modification, 32, 3–23.CrossRefPubMed
go back to reference Shalansky, S. J., Levy, A. R., & Ignaszewski, A. P. (2004). Self-reported Morisky score for identifying nonadherence with cardiovascular medications. Annals of Pharmacotherapy, 38, 1363–1368. doi:10.1345/aph.1E071 CrossRefPubMed Shalansky, S. J., Levy, A. R., & Ignaszewski, A. P. (2004). Self-reported Morisky score for identifying nonadherence with cardiovascular medications. Annals of Pharmacotherapy, 38, 1363–1368. doi:10.​1345/​aph.​1E071 CrossRefPubMed
go back to reference Shehadeh-Sheeny, A., Eilat-Tsanani, S., Bishara, E., & Baron-Epel, O. (2013). Knowledge and health literacy are not associated with osteoporotic medication adherence, however income is, in Arab postmenopausal women. Patient Education and Counseling, 93, 282–288.CrossRefPubMed Shehadeh-Sheeny, A., Eilat-Tsanani, S., Bishara, E., & Baron-Epel, O. (2013). Knowledge and health literacy are not associated with osteoporotic medication adherence, however income is, in Arab postmenopausal women. Patient Education and Counseling, 93, 282–288.CrossRefPubMed
go back to reference Stirratt, M. J., Dunbar-Jacob, J., Crane, H. M., Simoni, J. M., Czajkowski, S., Hilliard, M. E., et al. (2015). Self-report measures of medication adherence behavior: Recommendations on optimal use. Translational Behavioral Medicine, 5, 1–13. doi:10.1007/s13142-015-0315-2 CrossRef Stirratt, M. J., Dunbar-Jacob, J., Crane, H. M., Simoni, J. M., Czajkowski, S., Hilliard, M. E., et al. (2015). Self-report measures of medication adherence behavior: Recommendations on optimal use. Translational Behavioral Medicine, 5, 1–13. doi:10.​1007/​s13142-015-0315-2 CrossRef
go back to reference Their, S. L., Yu-Isenberg, K. S., Leas, B. F., Cantrell, C. R., DeBussey, S., Goldfarb, N. I., & Nash, D. B. (2008). In chronic disease, nationwide data show poor adherence by patients to medication and by physicians to guidelines. Managed Care, 17(2), 48–52, 55–57. Their, S. L., Yu-Isenberg, K. S., Leas, B. F., Cantrell, C. R., DeBussey, S., Goldfarb, N. I., & Nash, D. B. (2008). In chronic disease, nationwide data show poor adherence by patients to medication and by physicians to guidelines. Managed Care, 17(2), 48–52, 55–57.
go back to reference Thirumurthy, H., Siripong, N., Vreeman, R. C., Pop-Eleches, C., Habyarimana, J. P., Sidle, A. M., et al. (2012). Differences between self-reported and electronically monitored adherence among patients receiving antiretroviral therapy in a recourse-limited setting. AIDS, 26, 2399–2403.CrossRefPubMedPubMedCentral Thirumurthy, H., Siripong, N., Vreeman, R. C., Pop-Eleches, C., Habyarimana, J. P., Sidle, A. M., et al. (2012). Differences between self-reported and electronically monitored adherence among patients receiving antiretroviral therapy in a recourse-limited setting. AIDS, 26, 2399–2403.CrossRefPubMedPubMedCentral
go back to reference Waterhouse, D. M., Calzone, K. A., Mele, C., & Brenner, D. E. (1993). Adherence to oral tamoxifen: a comparison of patient self-report, pill counts, and microelectronic monitoring. Journal of Clinical Oncology, 11, 1189–1197.PubMed Waterhouse, D. M., Calzone, K. A., Mele, C., & Brenner, D. E. (1993). Adherence to oral tamoxifen: a comparison of patient self-report, pill counts, and microelectronic monitoring. Journal of Clinical Oncology, 11, 1189–1197.PubMed
go back to reference Wu, J.-R., Moser, D. K., Chung, M. L., & Lennis, T. A. (2008b). Predictors of medication adherence using a multidimensional adherence model in patients with heart failure. Journal of Cardiac Failure, 14, 603–614.CrossRefPubMedPubMedCentral Wu, J.-R., Moser, D. K., Chung, M. L., & Lennis, T. A. (2008b). Predictors of medication adherence using a multidimensional adherence model in patients with heart failure. Journal of Cardiac Failure, 14, 603–614.CrossRefPubMedPubMedCentral
go back to reference Young, K. D., Bellgowan, P. S. F., Bodurka, J., & Drevels, W. C. (2015). Functional neuroimaging correlates of autobiographical memory deficits in subjects at risk for depression. Brain Science, 5, 144–164. doi:10.3390/brainsci5020144 CrossRef Young, K. D., Bellgowan, P. S. F., Bodurka, J., & Drevels, W. C. (2015). Functional neuroimaging correlates of autobiographical memory deficits in subjects at risk for depression. Brain Science, 5, 144–164. doi:10.​3390/​brainsci5020144 CrossRef
go back to reference Young, K. D., Bellgowant, P. S. F., Bodurka, J., & Drevels, W. C. (2014). Neurophysiological correlates of autobiographical memory deficits in currently and formerly depressed subjects. Psychological Medicine, 44, 2951–2963. doi:10.1017/S0033291714000464 CrossRefPubMed Young, K. D., Bellgowant, P. S. F., Bodurka, J., & Drevels, W. C. (2014). Neurophysiological correlates of autobiographical memory deficits in currently and formerly depressed subjects. Psychological Medicine, 44, 2951–2963. doi:10.​1017/​S003329171400046​4 CrossRefPubMed
go back to reference Young, K. D., Erickson, K., Nugent, A. C., Fromm, S. J., Mallinger, A. G., Furey, M. L., & Drevets, W. C. (2012). Functional anatomy of autobiographical memory recall deficits in depression. Psychological Medicine, 42, 345–357. doi:10.1017/S0033291711001371 CrossRefPubMed Young, K. D., Erickson, K., Nugent, A. C., Fromm, S. J., Mallinger, A. G., Furey, M. L., & Drevets, W. C. (2012). Functional anatomy of autobiographical memory recall deficits in depression. Psychological Medicine, 42, 345–357. doi:10.​1017/​S003329171100137​1 CrossRefPubMed
go back to reference Zeller, A., Ramseier, E., Treadmeyer, A., & Battlegay, E. (2008). Patients’ self-reported adherence to cardiovascular medication using electronic monitors as comparators. Hypertension Research, 31, 2034–2037. Zeller, A., Ramseier, E., Treadmeyer, A., & Battlegay, E. (2008). Patients’ self-reported adherence to cardiovascular medication using electronic monitors as comparators. Hypertension Research, 31, 2034–2037.
go back to reference Zwikker, H. E., van den Bemt, B. J., Vriezekolk, J. E., van den Ende, C. H., & van Dulmen, S. (2014). Psychosocial predictors of non-adherence to chronic medication: Systematic review of longitudinal studies. Patient Preference and Adherence, 8, 519–563.CrossRefPubMedPubMedCentral Zwikker, H. E., van den Bemt, B. J., Vriezekolk, J. E., van den Ende, C. H., & van Dulmen, S. (2014). Psychosocial predictors of non-adherence to chronic medication: Systematic review of longitudinal studies. Patient Preference and Adherence, 8, 519–563.CrossRefPubMedPubMedCentral
Metagegevens
Titel
Predictors of medication adherence: fact or artifact
Auteurs
Jacqueline Dunbar-Jacob
Jeffrey M. Rohay
Publicatiedatum
15-06-2016
Uitgeverij
Springer US
Gepubliceerd in
Journal of Behavioral Medicine / Uitgave 6/2016
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI
https://doi.org/10.1007/s10865-016-9752-8