Abstract
Self-reported medication adherence is known to overestimate true adherence. However, little is known about patient factors that may contribute to the upward bias in self-reported medication adherence. The objective of this study is to examine whether demographic, behavioral, medication and mood factors are associated with being a false-positive self-reported adherer (FPA) to antihypertensive drug treatment. We studied 175 patients (mean age: 50 years; 57% men) from primary-care clinics starting antihypertensive drug treatment. Self-reported adherence (SRA) was measured with the Medication Adherence Report Scale (MARS) and by the number of drug doses missed in the previous week/month, and compared with pill count adherence ratio (PCAR) as gold standard. Data on adherence, demographic, behavioral, medication and mood factors were collected at baseline and every 3 months up to 1 year. FPA was defined as being a non-adherer by PCAR and an adherer by self-report. Mixed effect logistic regression was used for the analysis. Twenty percent of participants were FPA. Anxiety increased (odds ratio (OR): 3.00; P=0.01), whereas smoking (OR: 0.40; P=0.03) and drug side effects (OR: 0.46, P=0.03) decreased the probability for FPA by MARS. Education below high-school completion increased the probability of being an FPA as measured by missing doses in the last month (OR: 1.66; P=0.04) and last week (OR: 1.88; P=0.02). The validity of SRA varies significantly according to drug side effects, behavioral factors and patient’s mood. Careful consideration should be given to the use of self-reported measures of adherence among patients likely to be false-positive adherers.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
World Health Organization. Adherence to long-term therapies: evidence for action. Geneva, Switzerland: 2003. Available at http://apps.who.int/iris/bitstream/10665/42682/1/9241545992.pdf Accessed: 20 January 2014.
Grymonpre RE, Didur CD, Montgomery PR, Sitar DS . Pill count, self-report, and pharmacy claims data to measure medication adherence in the elderly. Ann Pharmacother 1998; 32: 749–754.
Daniels T, Goodacre L, Sutton C, Pollard K, Conway S, Peckham D . Accurate assessment of adherence: self-report and clinician report vs electronic monitoring of nebulizers. Chest 2011; 140: 425–432.
Choo PW, Rand CS, Inui TS, Lee ML, Canning C, Platt R . A cohort study of possible risk factors for over-reporting of antihypertensive adherence. BMC Cardiovasc Disord 2001; 1: 6.
Ho PM, Bryson CL, Rumsfeld JS . Medication adherence: its importance in cardiovascular outcomes. Circulation 2009; 119: 3028–3035.
Koop E. Assessment and intervention to improve treatment adherence. In: Kotseva K, Oldridge N, Piepoli MF (eds). Evaluation of preventive cardiology. Chapter 26. In: Sielen S, DeBacken G, Piepoli MF, Wood D (eds) The ESC Textbook of Preventive Cardiology. Oxford University Press: Oxford, UK, 2015, pp 334–339.
Crowne DP, Marlowe D . A new scale of social desirability independent of psychopathology. J Consult Psychol 1960; 24: 349–354.
Nieuwkerk PT, de Boer-van der Kolk IM, Prins JM, Locadia M, Sprangers MA . Self-reported adherence is more predictive of virological treatment response among patients with a lower tendency towards socially desirable responding. Antivir Ther 2010; 15: 913–916.
Johnson TP, Fendrich M . A validation of the Crowne-Marlowe Social Desirability Scale. http://www.srl.uic.edu/publist/Conference/crownemarlowe.pdf.
Simoni JM, Frick PA, Lockhart D, Liebovitz D . Mediators of social support and antiretroviral adherence among an indigent population in New York City. AIDS Patient Care STDS 2002; 16: 431–439.
Welte JW, Russell M . Influence of socially desirable responding in a study of stress and substance abuse. Alcohol Clin Exp Res 1993; 17: 758–761.
Zemore SE . The effect of social desirability on reported motivation, substance use severity, and treatment attendance. J Subst Abuse Treat 2012; 42: 400–412.
Beck AT, Steer RA, Brown GK . Manual for Beck Depression Inventory-II. Psychological Corporation: San Antonio, TX, USA, 1996.
Bautista LE, Vera-Cala LM, Colombo C, Smith P . Symptoms of depression and anxiety and adherence to antihypertensive medication. Am J Hypertens 2012; 25: 505–511.
Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo J Jr et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension 2003; 42: 1206–1252.
Dupuy HJ. The Psychological General Well-Being (PGWB) Index. In: Wenger NK, Mattson ME, Furberg CD, Elinson J (eds). Assessment of Quality of Life in clinical trials of cardiovascular therapies. Le Jacq Publications: New York, NY, USA, 1984, pp 170–183.
Arnau RC, Meagher MW, Norris MP, Bramson R . Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients. Health Psychol 2001; 20: 112–119.
Chassany O, Dimenäs E, Dubois D, Wu A, Dupuy H . The Psychological General Well-Being Index (PGWBI) User Manual. MAPI Research Institute: Lyon, France, 2004. Available at http://178.23.156.107:8085/Instruments_files/USERS/pgwbi.pdf.
Anderson RB, Hollenberg NK, Williams GH . Physical Symptoms Distress Index: a sensitive tool to evaluate the impact of pharmacological agents on quality of life. Arch Intern Med 1999; 159: 693–700.
Erickson SR, Williams BC, Gruppen LD . Relationship between symptoms and health-related quality of life in patients treated for hypertension. Pharmacotherapy 2004; 24: 344–350.
Tedla YG, Bautista LE . Drug side effect symptoms and adherence to antihypertensive medication. Am J Hypertens 2015; 29: 772–779.
Haynes RB, Taylor DW, Sackett DL, Gibson ES, Bernholz CD, Mukherjee J . Can simple clinical measurements detect patient noncompliance? Hypertension 1980; 2: 757–764.
Sjölander M, Eriksson M, Glader EL . The association between patients’ beliefs about medicines and adherence to drug treatment after stroke: a cross-sectional questionnaire survey. BMJ Open 2013; 3: e003551.
Butler JA, Peveler RC, Roderick P, Horne R, Mason JC . Measuring compliance with drug regimens after renal transplantation: comparison of self-report and clinician rating with electronic monitoring. Transplantation 2004; 77: 786–789.
Thompson K, Kulkarni J, Sergejew AA . Reliability and validity of a new Medication Adherence Rating Scale (MARS) for the psychoses. Schizophr Res 2000; 42: 241–247.
Sambath KA, Ramanujam R, Chinnaiyan P . Survival analysis: Kaplan-Meier and life table estimates for time to event clinical trial tuberculosis data. Concept Pure Appl Sci 2013; 1: 17–22.
Twisk J . Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide. Cambridge University Press: Cambridge, UK, 2003.
Hanley JA, McNeil BJ . The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143 (1): 29–36.
StataCorp. Stata Statistical Software: Release 13. StataCorp LP: College Station, TX, USA, 2013.
Osterberg L, Blaschke T . Drug therapy: adherence to medication. N Engl J Med 2005; 353: 487–497.
Chao J, Nau DP, Aikens JE . Patient-reported perceptions of side effects of antihyperglycemic medication and adherence to medication regimens in persons with diabetes mellitus. Clin Ther 2007; 29: 177–180.
Castaneda AE, Tuulio-Henriksson A, Marttunen M, Suvisaari J, Lönnqvist J . A review on cognitive impairments in depressive and anxiety disorders with a focus on young adults. J Affect Disord 2008; 106 (1–2): 1–27.
Biringer E, Mykletun A, Dahl AA, Smith AD, Engedal K, Nygaard HA et al. The association between depression, anxiety, and cognitive function in the elderly general population–-the Hordaland Health Study. Int J Geriatr Psychiatry 2005; 20: 989–997.
Jonathan M, Michael GA . Multiple regression analysis and mass assessment: a review of the issues. Appraisal J 1988; 56: 89.
Hamilton GA . Measuring adherence in a hypertension clinical trial. Eur J Cardiovasc Nurs 2003; 2: 219–228.
Rothman KJ, Greenland S, Lash TL. Validity in epidemiologic studies. In: Rothman KJ, Greenland S, Lash TL (eds). Modern Epidemiology. Lippincott Williams & Wilkins: Philadelphia, PA, 2008, pp 129–147.
Acknowledgements
This study was conducted at the Department of Population Health Sciences, University of Wisconsin–Madison. This study was funded by the American Heart Association, Award Number MSN101929 and by the University of Wisconsin Institute for Clinical and Translational Research (NIH Clinical and Translational Science Award, Award Number 1 UL1 RR025011). This study was approved by the Institutional Review Board of the University of Wisconsin (UW)–Madison
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no conflict of interest.
Additional information
Supplementary Information accompanies this paper on the Journal of Human Hypertension website
Supplementary information
Rights and permissions
About this article
Cite this article
Tedla, Y., Bautista, L. Factors associated with false-positive self-reported adherence to antihypertensive drugs. J Hum Hypertens 31, 320–326 (2017). https://doi.org/10.1038/jhh.2016.80
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/jhh.2016.80
This article is cited by
-
Risk factors for self-reported medication adherence in community-dwelling older patients with multimorbidity and polypharmacy: a multicenter cross-sectional study
BMC Geriatrics (2023)
-
Effectiveness and cost-effectiveness of an intervention to improve Initial Medication Adherence to treatments for cardiovascular diseases and diabetes in primary care: study protocol for a pragmatic cluster randomised controlled trial and economic model (the IMA-cRCT study)
BMC Primary Care (2022)
-
Self-reported medication adherence and pharmacy refill adherence among persons with ischemic stroke: a cross-sectional study
European Journal of Clinical Pharmacology (2022)
-
Modifiable Factors Associated with Non-adherence to Antihypertensive or Antihyperlipidemic Drugs Are Dissimilar: a Multicenter Study Among Patients with Diabetes in Indonesia
Journal of General Internal Medicine (2020)