Skip to main content
Log in

Patient-Reported Barriers and Facilitators to Deprescribing Cardiovascular Medications

  • Original Research Article
  • Published:
Drugs & Aging Aims and scope Submit manuscript

Abstract

Background

Medications endorsed by clinical practice guidelines, such as cardiovascular medications, could still have risks that outweigh potential benefits, and could thus warrant deprescribing.

Objectives

The objective of this study was to develop a framework of facilitators and barriers specific to deprescribing cardiovascular medications in the setting of uncertain benefit. Given the frequent use of β-blockers in heart failure with preserved ejection fraction, and its uncertain benefits with potential for harm, we used this scenario as an example case for a cardiovascular medication that may be reasonable to deprescribe.

Methods

We conducted one-on-one, semi-structured interviews of older adults until we reached thematic saturation. Two coders independently reviewed each interview, and developed codes using deductive thematic analysis based on a prior conceptual framework for deprescribing. Subthemes and themes were finalized with a third coder.

Results

Ten participants were interviewed. We identified three key previously described patient-reported facilitators to deprescribing: (1) appropriateness of cessation; (2) process of cessation; and (3) dislike of medications; and identified three key previously described patient-reported barriers: (1) appropriateness of cessation; (2) process of cessation; and (3) fear. We found that these facilitators and barriers often co-occurred within the same individual. This observation, coupled with subthemes from our patient interviews, yielded two barriers to deprescribing specific to cardiovascular medications—uncertainty and conflicting attitudes.

Conclusion

We adapted a new framework of patient-reported barriers and facilitators specific to deprescribing cardiovascular medications. In addition to addressing barriers previously described, future deprescribing interventions targeting cardiovascular medications must also address uncertainty and conflicting attitudes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Tjia J, Velten SJ, Parsons C, Valluri S, Briesacher BA. Studies to reduce unnecessary medication use in frail older adults: a systematic review. Drugs Aging. 2013;30(5):285–307.

    Article  PubMed  Google Scholar 

  2. Kantor ED, Rehm CD, Haas JS, Chan AT, Giovannucci EL. Trends in prescription drug use among adults in the United States From 1999–2012. JAMA. 2015;314(17):1818–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Centers for Medicare & Medicaid Services. Chronic Conditions among Medicare Beneficiaries. https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Chronic-Conditions/Chartbook_Charts.html. Accessed 28 Sep 2017.

  4. Gerteis J, Izrael D, Deitz D, LeRoy L, Ricciardi R, Miller T, et al. Multiple Chronic Conditions Chartbook. AHRQ Publications No, Q14-0038. Rockville: Agency for Healthcare Research and Quality; 2014.

  5. Freeland KN, Thompson AN, Zhao Y, Leal JE, Mauldin PD, Moran WP. Medication use and associated risk of falling in a geriatric outpatient population. Ann Pharmacother. 2012;46(9):1188–92.

    Article  PubMed  Google Scholar 

  6. Kojima T, Akishita M, Nakamura T, Nomura K, Ogawa S, Iijima K, et al. Polypharmacy as a risk for fall occurrence in geriatric outpatients. Geriatr Gerontol Int. 2012;12(3):425–30.

    Article  PubMed  Google Scholar 

  7. Tromp AM, Pluijm SM, Smit JH, Deeg DJ, Bouter LM, Lips P. Fall-risk screening test: a prospective study on predictors for falls in community-dwelling elderly. J Clin Epidemiol. 2001;54(8):837–44.

    Article  CAS  PubMed  Google Scholar 

  8. Ziere G, Dieleman JP, Hofman A, Pols HA, van der Cammen TJ, Stricker BH. Polypharmacy and falls in the middle age and elderly population. Br J Clin Pharmacol. 2006;61(2):218–23.

    Article  CAS  PubMed  Google Scholar 

  9. Magaziner J, Cadigan DA. Community resources and mental health of older women living alone. J Aging Health. 1989;1(1):35–49.

    Article  CAS  PubMed  Google Scholar 

  10. Crentsil V, Ricks MO, Xue QL, Fried LP. A pharmacoepidemiologic study of community-dwelling, disabled older women: factors associated with medication use. Am J Geriatr Pharmacother. 2010;8(3):215–24.

    Article  PubMed  Google Scholar 

  11. Jyrkka J, Enlund H, Lavikainen P, Sulkava R, Hartikainen S. Association of polypharmacy with nutritional status, functional ability and cognitive capacity over a three-year period in an elderly population. Pharmacoepidemiol Drug Saf. 2011;20(5):514–22.

    Article  PubMed  Google Scholar 

  12. Akazawa M, Imai H, Igarashi A, Tsutani K. Potentially inappropriate medication use in elderly Japanese patients. Am J Geriatr Pharmacother. 2010;8(2):146–60.

    Article  PubMed  Google Scholar 

  13. Marcum ZA, Amuan ME, Hanlon JT, Aspinall SL, Handler SM, Ruby CM, et al. Prevalence of unplanned hospitalizations caused by adverse drug reactions in older veterans. J Am Geriatr Soc. 2012;60(1):34–41.

    Article  PubMed  Google Scholar 

  14. Picker D, Heard K, Bailey TC, Martin NR, LaRossa GN, Kollef MH. The number of discharge medications predicts thirty-day hospital readmission: a cohort study. BMC Health Serv Res. 2015;15:282.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Steinman MA, Landefeld CS, Rosenthal GE, Berthenthal D, Sen S, Kaboli PJ. Polypharmacy and prescribing quality in older people. J Am Geriatr Soc. 2006;54(10):1516–23.

    Article  PubMed  Google Scholar 

  16. Schwartz JB, Schmader KE, Hanlon JT, Abernathy DR, Gray S, Dunbar-Jacob J, et al. Pharmacotherapy in older adults with cardiovascular disease: report from an american college of cardiology, american geriatrics society, and national institute on aging workshop. J Am Geriatr Soc. 2019;67(2):371–80.

    PubMed  Google Scholar 

  17. Donaldson LJ, Kelley ET, Dhingra-Kumar N, Kieny M-P, Sheikh A. Medication without harm: WHO’s third global patient safety challenge. Lancet. 2017;389(10080):1680–1.

    Article  PubMed  Google Scholar 

  18. Scott IA, Hilmer SN, Reeve E, Potter K, Le Couteur D, Rigby D, et al. Reducing inappropriate polypharmacy: the process of deprescribing. JAMA Intern Med. 2015;175(5):827–34.

    Article  PubMed  Google Scholar 

  19. Holmes HM, Hayley DC, Alexander GC, Sachs GA. Reconsidering medication appropriateness for patients late in life. Arch Intern Med. 2006;166(6):605–9.

    Article  PubMed  Google Scholar 

  20. Gallagher P, Ryan C, Byrne S, Kennedy J, O’Mahony D. STOPP (Screening Tool of Older Person’s Prescriptions) and START (Screening Tool to Alert doctors to Right Treatment). Consensus validation. Int J Clin Pharmacol Ther. 2008;46(2):72–83.

    Article  CAS  PubMed  Google Scholar 

  21. Iyer S, Naganathan V, McLachlan AJ, Le Couteur DG. Medication withdrawal trials in people aged 65 years and older: a systematic review. Drugs Aging. 2008;25(12):1021–31.

    Article  PubMed  Google Scholar 

  22. By the American Geriatrics Society Beers Criteria Update Expert Panel. American Geriatrics Society 2015 Updated Beers Criteria for Potentially Inappropriate Medication Use in Older Adults. J Am Geriatr Soc. 2015;63(11):2227–46.

  23. Renom-Guiteras A, Meyer G, Thurmann PA. The EU(7)-PIM list: a list of potentially inappropriate medications for older people consented by experts from seven European countries. Eur J Clin Pharmacol. 2015;71(7):861–75.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Cooper JA, Cadogan CA, Patterson SM, Kerse N, Bradley MC, Ryan C, et al. Interventions to improve the appropriate use of polypharmacy in older people: a Cochrane systematic review. BMJ Open. 2015;5(12):e009235.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Johansson T, Abuzahra ME, Keller S, Mann E, Faller B, Sommerauer C, et al. Impact of strategies to reduce polypharmacy on clinically relevant endpoints: a systematic review and meta-analysis. Br J Clin Pharmacol. 2016;82(2):532–48.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Davidoff AJ, Miller GE, Sarpong EM, Yang E, Brandt N, Fick DM. Prevalence of potentially inappropriate medication use in older adults using the 2012 Beers criteria. J Am Geriatr Soc. 2015;63(3):486–500.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Holmes HM, Min LC, Yee M, Varadhan R, Basran J, Dale W, et al. Rationalizing prescribing for older patients with multimorbidity: considering time to benefit. Drugs Aging. 2013;30(9):655–66.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Budnitz DS, Lovegrove MC, Shehab N, Richards CL. Emergency hospitalizations for adverse drug events in older Americans. N Engl J Med. 2011;365(21):2002–12.

    Article  CAS  PubMed  Google Scholar 

  29. Tinetti ME, Green AR, Ouellet J, Rich MW, Boyd C. Caring for patients with multiple chronic conditions. Ann Intern Med. 2019;170(3):1099–200.

    Article  Google Scholar 

  30. Larson EB, Kukull WA, Buchner D, Reifler BV. Adverse drug reactions associated with global cognitive impairment in elderly persons. Ann Intern Med. 1987;107(2):169–73.

    Article  CAS  PubMed  Google Scholar 

  31. Cullinan S, O’Mahony D, O’Sullivan D, Byrne S. Use of a frailty index to identify potentially inappropriate prescribing and adverse drug reaction risks in older patients. Age Ageing. 2016;45(1):115–20.

    Article  PubMed  Google Scholar 

  32. Lavan AH, Gallagher P, Parsons C, O’Mahony D. STOPPFrail (Screening Tool of Older Persons Prescriptions in Frail adults with limited life expectancy): consensus validation. Age Ageing. 2017;46(4):600–7.

    PubMed  Google Scholar 

  33. Krishnaswami A, Steinman MA, Goyal P, Zullo AR, Anderson TS, Birtcher KK, et al. Deprescribing in older adults with cardiovascular disease. J Am Coll Cardiol. 2019;73(20):2584–95.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Goyal P, Anderson TS, Bernacki GM, Marcum ZA, Orkaby AR, Kim D et al. Physician Perspectives on Deprescribing Cardiovascular Medications for Older Adults. J Am Geriatr Soc. 2019. https://doi.org/10.1111/jgs.16157.

  35. Reeve E, To J, Hendrix I, Shakib S, Roberts MS, Wiese MD. Patient barriers to and enablers of deprescribing: a systematic review. Drugs Aging. 2013;30(10):793–807.

    Article  PubMed  Google Scholar 

  36. Shah SJ, Heitner JF, Sweitzer NK, Anand IS, Kim HY, Harty B, et al. Baseline characteristics of patients in the treatment of preserved cardiac function heart failure with an aldosterone antagonist trial. Circ Heart Fail. 2013;6(2):184–92.

    Article  CAS  PubMed  Google Scholar 

  37. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Colvin MM, et al. 2017 ACC/AHA/HFSA focused update of the 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. J Am Coll Cardiol. 2017;70(6):776–803.

    Article  PubMed  Google Scholar 

  38. Yamamoto K, Origasa H, Hori M, Investigators JD. Effects of carvedilol on heart failure with preserved ejection fraction: the Japanese Diastolic Heart Failure Study (J-DHF). Eur J Heart Fail. 2013;15(1):110–8.

    Article  CAS  PubMed  Google Scholar 

  39. Edelmann F, Musial-Bright L, Gelbrich G, Trippel T, Radenovic S, Wachter R, et al. Tolerability and feasibility of beta-blocker titration in HFpEF Versus HFrEF: insights from the CIBIS-ELD trial. JACC Heart Fail. 2016;4(2):140–9.

    Article  PubMed  Google Scholar 

  40. Cleland JGF, Bunting KV, Flather MD, Altman DG, Holmes J, Coats AJS, et al. Beta-blockers for heart failure with reduced, mid-range, and preserved ejection fraction: an individual patient-level analysis of double-blind randomized trials. Eur Heart J. 2018;39(1):26–35.

    Article  CAS  PubMed  Google Scholar 

  41. Borlaug BA, Melenovsky V, Russell SD, Kessler K, Pacak K, Becker LC, et al. Impaired chronotropic and vasodilator reserves limit exercise capacity in patients with heart failure and a preserved ejection fraction. Circulation. 2006;114(20):2138–47.

    Article  PubMed  Google Scholar 

  42. Phan TT, Shivu GN, Abozguia K, Davies C, Nassimizadeh M, Jimenez D, et al. Impaired heart rate recovery and chronotropic incompetence in patients with heart failure with preserved ejection fraction. Circ Heart Fail. 2010;3(1):29–34.

    Article  PubMed  Google Scholar 

  43. Yum B, Archambault A, Levitan EB, Dharamdasani T, Kneifati-Hayek J, Hanlon JT, et al. Indications for beta-blocker prescriptions in heart failure with preserved ejection fraction. J Am Geriatr Soc. 2019;67(7):1461–6.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Meyer M, LeWinter MM. Heart rate and heart failure with preserved ejection fraction: time to slow beta-blocker use? Circ Heart Fail. 2019;12(8):e006213.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Steinman MA, Zullo AR, Lee Y, Daiello LA, Boscardin WJ, Dore DD, et al. Association of beta-blockers with functional outcomes, death, and rehospitalization in older nursing home residents after acute myocardial infarction. JAMA Intern Med. 2017;177(2):254–62.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Tinetti ME, Fried TR, Boyd CM. Designing health care for the most common chronic condition–multimorbidity. JAMA. 2012;307(23):2493–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Gorodeski EZ, Goyal P, Hummel SL, Krishnaswami A, Goodlin SJ, Hart LL, et al. Domain management approach to heart failure in the geriatric patient: present and future. J Am Coll Cardiol. 2018;71(17):1921–36.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field Method. 2006;18(1):59–82.

    Article  Google Scholar 

  49. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–57.

    Article  PubMed  Google Scholar 

  50. Boyatzis R. Transforming qualitative information: thematic analysis and code development. Thousand Oaks: Sage; 1998.

    Google Scholar 

  51. Lorgunpai SJ, Grammas M, Lee DS, McAvay G, Charpentier P, Tinetti ME. Potential therapeutic competition in community-living older adults in the U.S.: use of medications that may adversely affect a coexisting condition. PLoS One. 2014;9(2):e89447.

  52. Boyd CM, Darer J, Boult C, Fried LP, Boult L, Wu AW. Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for performance. JAMA. 2005;294(6):716–24.

    Article  CAS  PubMed  Google Scholar 

  53. Eton DT, Ramalho de Oliveira D, Egginton JS, Ridgeway JL, Odell L, May CR et al. Building a measurement framework of burden of treatment in complex patients with chronic conditions: a qualitative study. Patient Relat Outcome Meas. 2012;3:39–49.

  54. Boyd CM, Wolff JL, Giovannetti E, Reider L, Weiss C, Xue Q-l et al. Healthcare task difficulty among older adults with multimorbidity. Medical Care. 2014;52 Suppl 3:S118–25.

  55. Bogardus ST Jr, Holmboe E, Jekel JF. Perils, pitfalls, and possibilities in talking about medical risk. JAMA. 1999;281(11):1037–41.

    Article  PubMed  Google Scholar 

  56. Hoffmann TC, Del Mar C. Clinicians’ expectations of the benefits and harms of treatments, screening, and tests: a systematic review. JAMA Intern Med. 2017;177(3):407–19.

    Article  PubMed  Google Scholar 

  57. Kent DM, Hayward RA. Limitations of applying summary results of clinical trials to individual patients: the need for risk stratification. JAMA. 2007;298(10):1209–12.

    Article  CAS  PubMed  Google Scholar 

  58. Jansen J, Naganathan V, Carter SM, McLachlan AJ, Nickel B, Irwig L, et al. Too much medicine in older people? Deprescribing through shared decision making. BMJ. 2016;353:i2893.

    Article  PubMed  Google Scholar 

  59. Belcher VN, Fried TR, Agostini JV, Tinetti ME. Views of older adults on patient participation in medication-related decision making. J Gen Intern Med. 2006;21(4):298–303.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Turner JP, Edwards S, Stanners M, Shakib S, Bell JS. What factors are important for deprescribing in Australian long-term care facilities? Perspectives of residents and health professionals. BMJ Open. 2016;6(3):e009781.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Bagge M, Tordoff J, Norris P, Heydon S. Older people’s attitudes towards their regular medicines. J Prim Health Care. 2013;5(3):234–42.

    Article  PubMed  Google Scholar 

  62. Linsky A, Simon SR, Bokhour B. Patient perceptions of proactive medication discontinuation. Patient Educ Couns. 2015;98(2):220–5.

    Article  PubMed  Google Scholar 

  63. Galazzi A, Lusignani M, Chiarelli MT, Mannucci PM, Franchi C, Tettamanti M, et al. Attitudes towards polypharmacy and medication withdrawal among older inpatients in Italy. Int J Clin Pharm. 2016;38(2):454–61.

    Article  PubMed  Google Scholar 

  64. Reeve E, Low LF, Hilmer SN. Beliefs and attitudes of older adults and carers about deprescribing of medications: a qualitative focus group study. Br J Gen Pract. 2016;66(649):e552–60.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Camerer C, Weber M. Recent developments in modeling preferences—uncertainty and ambiguity. J Risk Uncertainty. 1992;5(4):325–70.

    Article  Google Scholar 

  66. Johnson BB, Slovic P. Presenting uncertainty in health risk assessment: initial studies of its effects on risk perception and trust. Risk Anal. 1995;15(4):485–94.

    Article  CAS  PubMed  Google Scholar 

  67. Schapira MM, Nattinger AB, McHorney CA. Frequency or probability? A qualitative study of risk communication formats used in health care. Med Decis Making. 2001;21(6):459–67.

    Article  CAS  PubMed  Google Scholar 

  68. Elwyn G, Scholl I, Tietbohl C, Mann M, Edwards AG, Clay C et al. “Many miles to go…”: a systematic review of the implementation of patient decision support interventions into routine clinical practice. BMC Med Inform Decis Mak. 2013;13 Suppl 2:S14.

  69. Thompson W, Farrell B, Welch V, Tugwell P, Way C, Richardson L, et al. Continuation or deprescribing of proton pump inhibitors: a consult patient decision aid. Can Pharm J (Ott). 2019;152(1):18–22.

    Article  Google Scholar 

  70. Ouellet GM, Ouellet JA, Tinetti ME. Principle of rational prescribing and deprescribing in older adults with multiple chronic conditions. Ther Adv Drug Saf. 2018;9(11):639–52.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Clough AJ, Hilmer SN, Naismith SL, Kardell LD, Gnjidic D. N-of-1 trials for assessing the effects of deprescribing medications on short-term clinical outcomes in older adults: a systematic review. J Clin Epidemiol. 2018;93:112–9.

    Article  PubMed  Google Scholar 

  72. Hennink MM, Kaiser BN, Marconi VC. Code Saturation Versus Meaning Saturation: how Many Interviews Are Enough? Qual Health Res. 2017;27(4):591–608.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

All authors meet the criteria for authorship stated in the Uniform Requirements for Manuscripts Submitted to Biomedical Journals. Dr. Goyal had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: PG, TR, MMS. Acquisition, analysis, or interpretation of data: PG, TR, BS, RMC, SNH. Drafting of the manuscript: PG, TR, BS, MS, RMC. Critical revision of the manuscript for important intellectual content: IMK, SNH, MSL, MMS. Statistical analysis: PG, TR, BS, MS. Administrative, technical, or material support: IMK, MSL, MMS. Study supervision: SNH, MSL, MMS.

Corresponding author

Correspondence to Parag Goyal.

Ethics declarations

Funding

National Institute on Aging grant R03AG056446 (Principal Investigator [PI]: PG); National Cancer Institute grant K07CA207580 (PI: MS); National Institute of Nursing Research grant R00NR016275 (PI: RMC). These institutions did not have a role in the design, methods, subject recruitment, data collections, analysis, or preparation of the manuscript.

Conflicts of interest

Dr. Safford reports research support from Amgen. Parag Goyal, Tatiana Requijo, Birgit Siceloff, Megan J. Shen, Ruth Masterson Creber, Sarah N. Hilmer, Ian M. Kronish, and Mark S. Lachs report no conflicts of interest.

Informed consent

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (Weill Cornell Medicine Institutional Review Board) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all study participants.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Goyal, P., Requijo, T., Siceloff, B. et al. Patient-Reported Barriers and Facilitators to Deprescribing Cardiovascular Medications. Drugs Aging 37, 125–135 (2020). https://doi.org/10.1007/s40266-019-00729-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40266-019-00729-x

Navigation