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Journal of General Internal Medicine

Erschienen in:

01.01.2013 | Original Research

Factors Associated with Non-Adherence to Three Hypertension Self-Management Behaviors: Preliminary Data for a New Instrument

verfasst von: Matthew J. Crowley, MD, Janet M. Grubber, MSPH, Maren K. Olsen, PhD, Hayden B. Bosworth, PhD

Erschienen in: Journal of General Internal Medicine | Ausgabe 1/2013

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ABSTRACT

BACKGROUND

Clinicians have difficulty in identifying patients that are unlikely to adhere to hypertension self-management. Identifying non-adherence is essential to addressing suboptimal blood pressure control and high costs.

OBJECTIVES

1) To identify risk factors associated with non-adherence to three key self-management behaviors in patients with hypertension: proper medication use, diet, and exercise; 2) To evaluate the extent to which an instrument designed to identify the number of risk factors present for non-adherence to each of the three hypertension self-management behaviors would be associated with self-management non-adherence and blood pressure.

DESIGN

Cross-sectional analysis of randomized trial data.

PATIENTS

Six hundred and thirty-six primary care patients with hypertension.

MEASUREMENTS

1) Demographic, socioeconomic, psychosocial, and health belief-related factors; 2) measures of self-reported adherence to recommended medication use, diet recommendations, and exercise recommendations, all collected at baseline assessment; 3) systolic blood pressure (SBP) and diastolic blood pressure (DBP).

RESULTS

We identified patient factors associated with measures of non-adherence to medications, diet, and exercise in hypertension. We then combined risk factors associated with ≥1 adherence measure into an instrument that generated three composite variables (medication, diet, and exercise composites), reflecting the number of risk factors present for non-adherence to the corresponding self-management behavior. These composite variables identified subgroups with higher likelihood of medication non-adherence, difficulty following diet recommendations, and difficulty following exercise recommendations. Composite variable levels representing the highest number of self-management non-adherence risk factors were associated with higher SBP and DBP.

CONCLUSIONS

We identified factors associated with measures of non-adherence to recommended medication use, diet, and exercise in hypertension. We then developed an instrument that was associated with non-adherence to these self-management behaviors, as well as with blood pressure. With further study, this instrument has potential to improve identification of non-adherent patients with hypertension.

World Health Organization. Adherence to long-term therapies: evidence for action. Noncommunicable Diseases and Mental Health Adherence to long-term therapies project. 2003. http://www.who.int/chp/knowledge/publications/adherence_introduction.pdf. Accessed July 31, 2012.

Peterson AM, Takiya L, Finley R. Meta-analysis of trials of interventions to improve medication adherence. Am J Health Syst Pharm. 2003;60:657–65.PubMed

Egan BM, Zhao Y, Axon RN. US trends in prevalence, awareness, treatment, and control of hypertension, 1988–2008. JAMA. 2010;303:2043–50.CrossRefPubMed

Borzecki AM, Oliveria SA, Berlowitz DR. Barriers to hypertension control. Am Heart J. 2005;149:785–94.CrossRefPubMed

Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005;353:487–97.CrossRefPubMed

Siegel D, Lopez J, Meier J. Antihypertensive medication adherence in the Department of Veterans Affairs. Am J Med. 2007;120:26–32.CrossRefPubMed

Ren XS, Kazis LE, Lee A, Zhang H, Miller DR. Identifying patient and physician characteristics that affect compliance with antihypertensive medications. J Clin Pharm Ther. 2002;27:47–56.CrossRefPubMed

Shea S, Misra D, Ehrlich MH, Field L, Francis CK. Predisposing factors for severe, uncontrolled hypertension in an inner-city minority population. N Engl J Med. 1992;327:776–81.CrossRefPubMed

Francis CK. Hypertension, cardiac disease, and compliance in minority patients. Am J Med. 1991;91:29S–36.CrossRefPubMed

10.

Nabi H, Vahtera J, Singh-Manoux A, Pentti J, Oksanen T, Gimeno D, Elovainio M, Virtanen M, Klaukka T, Kivimaki M. Do psychological attributes matter for adherence to antihypertensive medication? The Finnish Public Sector Cohort Study. J Hypertens. 2008;26:2236–43.CrossRefPubMed

11.

Hassan NB, Hasanah CI, Foong K, Naing L, Awang R, Ismail SB, Ishak A, Yaacob LH, Harmy MY, Daud AH, Shaharom MH, Conroy R, Rahman AR. Identification of psychosocial factors of noncompliance in hypertensive patients. J Hum Hypertens. 2006;20:23–9.CrossRefPubMed

12.

Wang PS, Bohn RL, Knight E, Glynn RJ, Mogun H, Avorn J. Noncompliance with antihypertensive medications: the impact of depressive symptoms and psychosocial factors. J Gen Intern Med. 2002;17:504–11.CrossRefPubMed

13.

Patel RP, Taylor SD. Factors affecting medication adherence in hypertensive patients. Ann Pharmacother. 2002;36:40–5.CrossRefPubMed

14.

Gerber BS, Cho YI, Arozullah AM, Lee SY. Racial differences in medication adherence: A cross-sectional study of Medicare enrollees. Am J Geriatr Pharmacother. 2010;8:136–45.CrossRefPubMed

15.

Bosworth HB, Powers B, Grubber JM, Thorpe CT, Olsen MK, Orr M, Oddone EZ. Racial differences in blood pressure control: potential explanatory factors. J Gen Intern Med. 2008;23:692–8.CrossRefPubMed

16.

Morris AB, Li J, Kroenke K, Bruner-England TE, Young JM, Murray MD. Factors associated with drug adherence and blood pressure control in patients with hypertension. Pharmacotherapy. 2006;26:483–92.CrossRefPubMed

17.

Hill MN, Bone LR, Kim MT, Miller DJ, Dennison CR, Levine DM. Barriers to hypertension care and control in young urban black men. Am J Hypertens. 1999;12:951–8.CrossRefPubMed

18.

Kaplan S, Greenfield S, Ware JE. Assessing the effects of physician-patient interactions on the outcomes of chronic disease. Med Care. 1989;27:S110–27.CrossRefPubMed

19.

Krousel-Wood M, Islam T, Muntner P, Holt E, Joyce C, Morisky DE, Webber LS, Frohlich ED. Association of depression with antihypertensive medication adherence in older adults: cross-sectional and longitudinal findings from CoSMO. Ann Behav Med. 2010;40:248–57.CrossRefPubMed

20.

Aggarwal B, Mosca L. Lifestyle and psychosocial risk factors predict non-adherence to medication. Ann Behav Med. 2010;40:228–33.CrossRefPubMed

21.

Krousel-Wood MA, Frohlich ED. Hypertension and depression: coexisting barriers to medication adherence. J Clin Hypertens (Greenwich). 2010;12:481–6.

22.

Eze-Nliam CM, Thombs BD, Lima BB, Smith CG, Ziegelstein RC. The association of depression with adherence to antihypertensive medications: a systematic review. J Hypertens. 2010;28:1785–95.CrossRefPubMed

23.

Bosworth H, Oddone E. A model of psychosocial and cultural antecedents of blood pressure control. J Natl Med Assoc. 2002;94:236–48.PubMed

24.

Kressin NR, Orner MB, Manze M, Glickman ME, Berlowitz D. Understanding contributors to racial disparities in blood pressure control. Circ Cardiovasc Qual Outcomes. 2010;3:173–80.CrossRefPubMed

25.

Zeller A, Taegtmeyer A, Martina B, Battegay E, Tschudi P. Physicians’ ability to predict patients’ adherence to antihypertensive medication in primary care. Hypertens Res. 2008;31:1765–71.CrossRefPubMed

26.

McHorney CA. The Adherence Estimator: A brief, proximal screener for patient propensity to adhere to prescription medications for chronic disease. Curr Med Res Opin. 2009;25:215–38.CrossRefPubMed

27.

Zeller A, Schroeder K, Peters TJ. An adherence self-report questionnaire facilitated the differentiation between non-adherence and nonresponse to antihypertensive treatment. J Clin Epidemiol. 2008;61:282–8.CrossRefPubMed

28.

Schoberberger R, Janda M, Pescosta W, Sonneck G. The COMpliance Praxis Survey (COMPASS): A multidimensional instrument to monitor compliance for patients on antihypertensive medication. J Hum Hypertens. 2002;16:779–87.CrossRefPubMed

29.

Girerd X, Hanon O, Anagnostopoulos K, Ciupek C, Mourad JJ, Consoli S. Assessment of antihypertensive compliance using a self-administered questionnaire: Development and use in a hypertension clinic [in French]. Presse Med. 2001;30:1044–8.PubMed

30.

Kim MT, Hill MN, Bone LR, Levine DM. Development and testing of the Hill-Bone Compliance to High Blood Pressure Therapy Scale. Prog Cardiovasc Nurs. 2000;15:90–6.CrossRefPubMed

31.

Bosworth HB, Olsen MK, Grubber JM, Neary AM, Orr MM, Powers BJ, Adams MB, Svetkey LP, Reed SD, Li Y, Dolor RJ, Oddone EZ. Two Self-management Interventions to Improve Hypertension Control: A Randomized Trial. Ann Intern Med. 2009;151:687–95.PubMed

32.

Williams RB, Barefoot JC, Califf RM, Haney TL, Saunders WB, Pryor DB, Hlatky MA, Siegler IC, Mark DB. Prognostic importance of social and economic resources among medically treated patients with angiographically documented coronary artery disease. JAMA. 1992;267:520–4.CrossRefPubMed

33.

Parker RM, Baker DW, Williams MV, Nurss JR. The test of functional health literacy in adults: A new instrument for measuring patients’ literacy skills. J Gen Intern Med. 1995;10:537–41.CrossRefPubMed

34.

Jette AM, Cummings KM, Brock BM, Phelps MC, Naessens J. The structure and reliability of health belief indices. Health Serv Res. 1981;16:81–98.PubMed

35.

Bosworth HB, Olsen MK, Neary A, Orr M, Grubber J, Svetkey L, Adams M, Oddone EZ. Take Control of Your Blood pressure (TCYB) study: A multifactorial tailored behavioral and educational intervention for achieving blood pressure control. Patient Educ Couns. 2008;70:338–47.CrossRefPubMed

36.

Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, Bullinger M, Kaasa S, Leplege A, Prieto L, Sullivan M. Cross-validation of item selection and scoring for the SF-12 health survey in nine countries: Results from the IQOLA project. J Clin Epidemiol. 1998;51:1171–8.CrossRefPubMed

37.

Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care. 1986;24:67–74.CrossRefPubMed

38.

Lowry KP, Dudley TK, Oddone EZ, Bosworth HB. Intentional and unintentional non-adherence to antihypertensive medication. Ann Pharmacother. 2005;39:1198–203.CrossRefPubMed

39.

Allison PD. Logistic Regression Using the SAS System: Theory and Application. Cary, NC: SAS Institute Inc; 1999:49–50.

40.

Svarstad BL, Chewning BA, Sleath BL, Claesson C. The Brief Medication Questionnaire: A tool for screening patient adherence and barriers to adherence. Patient Educ Couns. 1999;37:113–24.CrossRefPubMed

41.

Copher R, Buzinec P, Zarotsky V, Kazis L, Iqbal SU, Macarios D. Physician perception of patient adherence compared to patient adherence of osteoporosis medications from pharmacy claims. Curr Med Res Opin. 2010;26:777–85.CrossRefPubMed

42.

Voils CI, Hoyle RH, Thorpe CT, Maciejewski ML, Yancy WS Jr. Improving the measurement of self-reported medication non-adherence. J Clin Epidemiol. 2011;64:250–4.CrossRefPubMed

43.

Wang PS, Benner JS, Glynn RJ, Winkelmayer WC, Mogun H, Avorn J. How well do patients report noncompliance with antihypertensive medications?: a comparison of self-report versus filled prescriptions. Pharmacoepidemiol Drug Saf. 2004;13:11–9.CrossRefPubMed

44.

Feinstein A. Compliance bias and the interpretation of therapeutic trials. In: Haynes RB, Taylor DW, Sackeets DL, eds. Compliance in health care. Baltimore, M.D: The Johns Hopkins University Press; 1979:309–22.

45.

Schroeder K, Fahey T, Hay AD, Montgomery A, Peters TJ. Adherence to antihypertensive medication assessed by self-report was associated with electronic monitoring compliance. J Clin Epidemiol. 2006;59:650–1.CrossRefPubMed

46.

Morisky DE, DiMatteo MR. Improving the measurement of self-reported medication non-adherence: response to authors. J Clin Epidemiol. 2011;64:255–7.CrossRefPubMed

47.

Cramer JA. Microelectronic systems for monitoring and enhancing patient compliance with medication regimens. Drugs. 1995;49:321–7.CrossRefPubMed

Titel: Factors Associated with Non-Adherence to Three Hypertension Self-Management Behaviors: Preliminary Data for a New Instrument
verfasst von: Matthew J. Crowley, MD
Janet M. Grubber, MSPH
Maren K. Olsen, PhD
Hayden B. Bosworth, PhD
Publikationsdatum: 01.01.2013
Verlag: Springer-Verlag
Erschienen in: Journal of General Internal Medicine / Ausgabe 1/2013
Print ISSN: 0884-8734
Elektronische ISSN: 1525-1497
DOI: https://doi.org/10.1007/s11606-012-2195-1

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ABSTRACT

BACKGROUND

OBJECTIVES

DESIGN

PATIENTS

MEASUREMENTS

RESULTS

CONCLUSIONS

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