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Published in: Digestive Diseases and Sciences 2/2017

01-02-2017 | Original Article

Factors Associated with Medication Non-adherence in Patients with End-Stage Liver Disease

Authors: Selena Z. Kuo, Marta Haftek, Jennifer C. Lai

Published in: Digestive Diseases and Sciences | Issue 2/2017

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Abstract

Background

Low medication adherence is known to contribute to worse health outcomes in the general population.

Aim

We aimed to evaluate the medication regimen and determine the adherence levels among patients with end-stage liver disease.

Methods

We measured adherence in patients awaiting liver transplantation at a single center using the 8-item Morisky Medication Adherence Scale (MMAS-8), with a score <8 classified as low adherence. Medication regimen complexity was assessed using the Medication Regimen Complexity Index (MRCI) tool. Factors associated with low adherence were identified by logistic regression.

Results

Of 181 patients, 33% were female, median age was 62, and model for end-stage liver disease (MELD) score was 13. The median (IQR) number of medications was 10 (7–13), and the MRCI was 19 (13–27). In total, 54 (30%) were high adherers, and 127 (70%) were low adherers. In total, 42% reported sometimes forgetting to take their medication and 22% reported intermittent adherence within the past 2 weeks. The most common reasons for low adherence were: forgetfulness (27%) and side effects (14%). Compared to high adherence, low adherence was associated with higher number of medications, medication complexity, and diabetes, but lower rates of hepatocellular carcinoma and self-perceived health. In univariable logistic regression, total medication number (OR 1.08), MRCI (OR 1.04), diabetes (OR 2.38), HCC (OR 0.38), and lower self-perceived health (OR 1.37), were statistically significant factors associated with non-adherence. In multivariate analysis, only medication number without supplements (OR 1.14) remained significantly associated with medication non-adherence.

Conclusion

A majority of patients awaiting liver transplantation demonstrated low medication adherence. Total number of medications and regimen complexity were strong correlates of low adherence. Our data underscores the need for chronic liver disease management programs to improve medication adherence in this vulnerable population.
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Literature
2.
go back to reference Senst BL, Achusim LE, Genest RP, et al. Practical approach to determining costs and frequency of adverse drug events in a health care network. Am J Health Syst Pharm. 2001;58:1126–1132.PubMed Senst BL, Achusim LE, Genest RP, et al. Practical approach to determining costs and frequency of adverse drug events in a health care network. Am J Health Syst Pharm. 2001;58:1126–1132.PubMed
3.
go back to reference Denhaerynck K, Dobbels F, Cleemput I, et al. Prevalence, consequences, and determinants of nonadherence in adult renal transplant patients: a literature review. Transpl Int. 2005;18:1121–1133.CrossRefPubMed Denhaerynck K, Dobbels F, Cleemput I, et al. Prevalence, consequences, and determinants of nonadherence in adult renal transplant patients: a literature review. Transpl Int. 2005;18:1121–1133.CrossRefPubMed
4.
go back to reference Serper M, Patzer RE, Reese PP, et al. Medication misuse, nonadherence, and clinical outcomes among liver transplant recipients. Liver Transpl. 2015;21:22–28.CrossRefPubMed Serper M, Patzer RE, Reese PP, et al. Medication misuse, nonadherence, and clinical outcomes among liver transplant recipients. Liver Transpl. 2015;21:22–28.CrossRefPubMed
5.
go back to reference Kamila P, Smith SG, Patzer R, Wolf MS, Marina S. Medication regimen complexity in kidney and liver transplant recipients. Transplantation. 2014;98:e73–e74.CrossRefPubMed Kamila P, Smith SG, Patzer R, Wolf MS, Marina S. Medication regimen complexity in kidney and liver transplant recipients. Transplantation. 2014;98:e73–e74.CrossRefPubMed
6.
go back to reference Patzer RE, Serper M, Reese PP, et al. Medication understanding, non-adherence, and clinical outcomes among adult kidney transplant recipients. Clin Transplant. 2016;30:1294–1305.CrossRefPubMed Patzer RE, Serper M, Reese PP, et al. Medication understanding, non-adherence, and clinical outcomes among adult kidney transplant recipients. Clin Transplant. 2016;30:1294–1305.CrossRefPubMed
7.
go back to reference Dobbels F, Vanhaecke J, Dupont L, et al. Pretransplant predictors of posttransplant adherence and clinical outcome: an evidence base for pretransplant psychosocial screening. Transplantation. 2009;87:1497–1504.CrossRefPubMed Dobbels F, Vanhaecke J, Dupont L, et al. Pretransplant predictors of posttransplant adherence and clinical outcome: an evidence base for pretransplant psychosocial screening. Transplantation. 2009;87:1497–1504.CrossRefPubMed
8.
go back to reference Weissenborn K, Ruckert N, Hecker H, Manns MP. The number connection tests A and B: interindividual variability and use for the assessment of early hepatic encephalopathy. J Hepatol. 1998;28:646–653.CrossRefPubMed Weissenborn K, Ruckert N, Hecker H, Manns MP. The number connection tests A and B: interindividual variability and use for the assessment of early hepatic encephalopathy. J Hepatol. 1998;28:646–653.CrossRefPubMed
9.
go back to reference Morisky DE, Ang A, Krousel-Wood M, Ward HJ. Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens (Greenwich). 2008;10:348–354.CrossRef Morisky DE, Ang A, Krousel-Wood M, Ward HJ. Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens (Greenwich). 2008;10:348–354.CrossRef
10.
go back to reference Organization WH. Guidelines for ATC classification and DDD assignment. ed.^eds. Guidelines for ATC classification and DDD assignment, City; World Health Organization;1996. Organization WH. Guidelines for ATC classification and DDD assignment. ed.^eds. Guidelines for ATC classification and DDD assignment, City; World Health Organization;1996.
11.
go back to reference George J, Phun YT, Bailey MJ, Kong DC, Stewart K. Development and validation of the medication regimen complexity index. Ann Pharmacother. 2004;38:1369–1376.CrossRefPubMed George J, Phun YT, Bailey MJ, Kong DC, Stewart K. Development and validation of the medication regimen complexity index. Ann Pharmacother. 2004;38:1369–1376.CrossRefPubMed
12.
go back to reference Libby AM, Fish DN, Hosokawa PW, et al. Patient-level medication regimen complexity across populations with chronic disease. Clin Ther. 2013;35:385–398.CrossRefPubMed Libby AM, Fish DN, Hosokawa PW, et al. Patient-level medication regimen complexity across populations with chronic disease. Clin Ther. 2013;35:385–398.CrossRefPubMed
13.
go back to reference McGee DL, Liao Y, Cao G, Cooper RS. Self-reported health status and mortality in a multiethnic US cohort. Am J Epidemiol. 1999;149:41–46.CrossRefPubMed McGee DL, Liao Y, Cao G, Cooper RS. Self-reported health status and mortality in a multiethnic US cohort. Am J Epidemiol. 1999;149:41–46.CrossRefPubMed
14.
go back to reference Volk ML, Fisher N, Fontana RJ. Patient knowledge about disease self-management in cirrhosis. Am J Gastroenterol. 2013;108:302–305.CrossRefPubMed Volk ML, Fisher N, Fontana RJ. Patient knowledge about disease self-management in cirrhosis. Am J Gastroenterol. 2013;108:302–305.CrossRefPubMed
15.
go back to reference Kripalani S, Yao X, Haynes RB. Interventions to enhance medication adherence in chronic medical conditions: a systematic review. Arch Intern Med. 2007;167:540–550.CrossRefPubMed Kripalani S, Yao X, Haynes RB. Interventions to enhance medication adherence in chronic medical conditions: a systematic review. Arch Intern Med. 2007;167:540–550.CrossRefPubMed
16.
go back to reference Marquez Contreras E, Casado MJJ, Corchado AY, et al. Efficacy of an intervention to improve treatment compliance in hyperlipidemias. Aten Primaria. 2004;33:443–450.CrossRefPubMed Marquez Contreras E, Casado MJJ, Corchado AY, et al. Efficacy of an intervention to improve treatment compliance in hyperlipidemias. Aten Primaria. 2004;33:443–450.CrossRefPubMed
17.
go back to reference Sakthong P, Chabunthom R, Charoenvisuthiwongs R. Psychometric properties of the Thai version of the 8-item Morisky Medication Adherence Scale in patients with type 2 diabetes. Ann Pharmacother. 2009;43:950–957.CrossRefPubMed Sakthong P, Chabunthom R, Charoenvisuthiwongs R. Psychometric properties of the Thai version of the 8-item Morisky Medication Adherence Scale in patients with type 2 diabetes. Ann Pharmacother. 2009;43:950–957.CrossRefPubMed
18.
go back to reference Sweileh WM, Ihbesheh MS, Jarar IS, et al. Self-reported medication adherence and treatment satisfaction in patients with epilepsy. Epilepsy Behav. 2011;21:301–305.CrossRefPubMed Sweileh WM, Ihbesheh MS, Jarar IS, et al. Self-reported medication adherence and treatment satisfaction in patients with epilepsy. Epilepsy Behav. 2011;21:301–305.CrossRefPubMed
19.
go back to reference Krousel-Wood M, Islam T, Webber LS, Re RN, Morisky DE, Muntner P. New medication adherence scale versus pharmacy fill rates in seniors with hypertension. Am J Manag Care. 2009;15:59–66.PubMedPubMedCentral Krousel-Wood M, Islam T, Webber LS, Re RN, Morisky DE, Muntner P. New medication adherence scale versus pharmacy fill rates in seniors with hypertension. Am J Manag Care. 2009;15:59–66.PubMedPubMedCentral
Metadata
Title
Factors Associated with Medication Non-adherence in Patients with End-Stage Liver Disease
Authors
Selena Z. Kuo
Marta Haftek
Jennifer C. Lai
Publication date
01-02-2017
Publisher
Springer US
Published in
Digestive Diseases and Sciences / Issue 2/2017
Print ISSN: 0163-2116
Electronic ISSN: 1573-2568
DOI
https://doi.org/10.1007/s10620-016-4391-z

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