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Sperl-Hillen JM, Haapala JL, Dehmer SP, Chumba LN, Ekstrom HL, Truitt AR, Asche SE, Werner AM, Rehrauer DJ, Pankonin MA, Pawloski PA, O'Connor PJ. Protocol of a patient randomized clinical trial to improve medication adherence in primary care. Contemp Clin Trials 2024; 136:107385. [PMID: 37956792 PMCID: PMC10922408 DOI: 10.1016/j.cct.2023.107385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/25/2023] [Accepted: 11/03/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND Enhanced awareness of poor medication adherence could improve patient care. This article describes the original and adapted protocols of a randomized trial to improve medication adherence for cardiometabolic conditions. METHODS The original protocol entailed a cluster randomized trial of 28 primary care clinics allocated to either (i) medication adherence enhanced chronic disease care clinical decision support (eCDC-CDS) integrated within the electronic health record (EHR) or (ii) usual care (non-enhanced CDC-CDS). Enhancements comprised (a) electronic interfaces printed for patients and clinicians at primary care encounters that encouraged discussion about specific medication adherence issues that were identified, and (b) pharmacist phone outreach. Study subjects were individuals who at an index visit were aged 18-74 years and not at evidence-based care goals for hypertension (HTN), diabetes mellitus (DM), or lipid management, along with low medication adherence (proportion of days covered [PDC] <80%) for a corresponding medication. The primary study outcomes were improved medication adherence and clinical outcomes (BP and A1C) at 12 months. Protocol adaptation became imperative in response to major implementation challenges: (a) the availability of EHR system-wide PDC calculations that superseded our ability to limit PDC adherence information solely to intervention clinics; (b) the unforeseen closure of pharmacies committed to conducting the pharmacist outreach; and (c) disruptions and clinic closures due to the Covid-19 pandemic. CONCLUSION This manuscript details the protocol of a study to assess whether enhanced awareness of medication adherence issues in primary care settings could improve patient outcomes. The need for protocol adaptation arose in response to multiple implementation challenges.
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Affiliation(s)
| | | | | | | | | | | | | | - Ann M Werner
- HealthPartners Institute, Bloomington, MN, United States
| | - Dan J Rehrauer
- HealthPartners Health Plan, Bloomington, MN, United States; HealthPartners Medical Group, Bloomington, MN, United States
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Degli Esposti L, Veronesi C, Ancona DD, Andretta M, Bartolini F, Drei A, Lupi A, Palcic S, Re D, Rizzi FV, Giacomini E, Perrone V. Direct Healthcare Costs by Level of Adherence of a Real-World Population of Statin Users in Italy. Clinicoecon Outcomes Res 2022; 14:139-147. [PMID: 35299992 PMCID: PMC8922236 DOI: 10.2147/ceor.s345852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/04/2022] [Indexed: 11/23/2022]
Abstract
Purpose This real-world study investigates the direct healthcare costs from the perspective of the Italian Healthcare National Service of experienced statin users according to their level of adherence to therapy and to their cardiovascular (CV) profile in Italian settings of outpatients clinical practice. Patients and Methods A retrospective observational analysis was performed based on administrative databases covering approximately 6 million health-assisted individuals. Adult patients with statins prescription between January 2014 and December 2016 were screened, and first prescription within this period was the index date. Follow-up lasted 1 year after index date. Only patients receiving statins prior index date (experienced statin users) were included and distributed in clusters based on their CV profile. Adherence was calculated during follow-up as proportion of days covered (PDC) and classified in low adherence (PDC<40%), partial adherence (PDC=40–79%) and adherence (PDC≥80%). Mean direct healthcare costs of drugs, hospitalizations, and outpatient services were evaluated during follow-up. Results A total of 436,623 experienced statin users were included and distributed as follows: 5.5% in the previous CV events, 22.6% in diabetes, 55.7% in CV treatments and 16.2% in the no comorbidity cluster. Total mean annual cost/patient decreased from low adherent to adherent patients from €4826 to €3497 in previous CV events, from €2815 to €2360 in diabetes cluster, from €2077 to €1863 for patients with CV treatments. Same trend was reported for the cost item related to hospitalizations, which was the major determinant of the total costs. In previous CV event cluster, adherence was associated to a saving of €879 on total costs. Conclusion The study highlighted a decrease in overall mean costs as adherence levels increase, particularly for patients with previous CV events, showing how improving adherence could be associated to cost savings and suggesting suited strategy based on CV profile should be undertaken for adherence optimization.
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Affiliation(s)
| | - Chiara Veronesi
- CliCon S.r.l. Health, Economics & Outcomes Research, Bologna, Italy
| | | | - Margherita Andretta
- UOC Assistenza Farmaceutica Territoriale, Azienda ULSS 8 Berica, Vicenza, Italy
| | | | | | | | - Stefano Palcic
- Farmaceutica Territoriale, Azienda Sanitaria Universitaria Integrata Giuliano-Isontina, Trieste, Italy
| | - Davide Re
- UOC Assistenza Farmaceutica Territoriale, ASL Teramo, Teramo, Italy
| | | | - Elisa Giacomini
- CliCon S.r.l. Health, Economics & Outcomes Research, Bologna, Italy
| | - Valentina Perrone
- CliCon S.r.l. Health, Economics & Outcomes Research, Bologna, Italy
- Correspondence: Valentina Perrone, Clicon Srl, Health, Economics and Outcomes Research, Via Murri 9, Bologna, 40137, Italy, Tel +39 544 38393, Fax +39 544 212699, Email
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Ferrara P, Di Laura D, Cortesi PA, Mantovani LG. The economic impact of hypercholesterolemia and mixed dyslipidemia: A systematic review of cost of illness studies. PLoS One 2021; 16:e0254631. [PMID: 34252164 PMCID: PMC8274865 DOI: 10.1371/journal.pone.0254631] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 06/30/2021] [Indexed: 11/22/2022] Open
Abstract
Hypercholesterolemia is a clinically relevant condition with an ascertained role in atherogenesis. In particular, its presence directly correlates to the risk of atherosclerotic cardiovascular disease (ASCVD). As known, cardiovascular diseases pose a significant economic burden worldwide; however, a clear picture of the economic impact of ASCVD secondary to hypercholesterolemia is lacking. This study aiming at conducting a systematic review of the current literature to assess the economic impact of familial hypercholesterolemia (FH), non-familial hypercholesterolemia (non-FH) or mixed dyslipidemia. A literature search was performed in Medline/PubMed and Embase database up to September 1st, 2020, exploring evidence published from 2010. The literature review was conducted in accordance with PRISMA guidelines. To be included the studies must be conducted on people who have been diagnosed with familial hypercholesterolemia, non-familial hypercholesterolemia or mixed dyslipidemia, and report data/information on costs attributable to these conditions and their sequelae. A total of 1260 studies were retrieved. After reading the titles and abstract, 103 studies were selected for full reading and eight met the criteria for inclusion. All but one studies were published in the American continent, with the majority conducted in US. An observational design with a prevalence approach were used and all estimated the economic burden of CVD. Direct cost estimates as annual average health expenditure on all population, ranging from $17 to $259 million. Few studies assessing the economic impact of hypercholesterolemia are available in the literature and new researches are needed to provide a more updated and reliable picture. Despite this scarceness of evidence, this review adds important data for future discussion on the knowledge of the economic impact of hypercholesterolemia and costs of care associated to this condition, with important implication for public health researches and novel therapies implementation.
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Affiliation(s)
- Pietro Ferrara
- Center for Public Health Research, University of Milano–Bicocca, Monza, Italy
- Value-based Healthcare Unit, IRCCS MultiMedica, Sesto San Giovanni, Italy
| | - Danilo Di Laura
- Center for Public Health Research, University of Milano–Bicocca, Monza, Italy
| | - Paolo A. Cortesi
- Center for Public Health Research, University of Milano–Bicocca, Monza, Italy
- Value-based Healthcare Unit, IRCCS MultiMedica, Sesto San Giovanni, Italy
| | - Lorenzo G. Mantovani
- Center for Public Health Research, University of Milano–Bicocca, Monza, Italy
- Value-based Healthcare Unit, IRCCS MultiMedica, Sesto San Giovanni, Italy
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Assessing forgetfulness and polypharmacy and their impact on health-related quality of life among patients with hypertension and dyslipidemia in Greece during the COVID-19 pandemic. Qual Life Res 2021; 31:193-204. [PMID: 34156596 PMCID: PMC8218571 DOI: 10.1007/s11136-021-02917-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2021] [Indexed: 11/03/2022]
Abstract
Purpose We estimate the association between forgetfulness to take medications as prescribed and polypharmacy and health-related quality of life (HRQoL) among a cohort of patients with hypertension, dyslipidemia or both in Greece during the COVID-19 pandemic. Methods A telephone survey of 1018 randomly selected adults was conducted in Greece in June 2020. Participants were included in the survey, if they (a) had a diagnosis of hypertension, dyslipidemia or both and (b) were on prescription treatment for these conditions. HRQoL was calculated using the short form (SF) -12 Patient Questionnaire. A multivariable generalized linear regression model (GLM) was used to estimate the association between forgetfulness and polypharmacy and HRQoL, controlling for sociodemographic and health-related covariates. Results Overall, 351 respondents met the inclusion criteria, of whom 28 did not fully complete the questionnaire (response rate: 92%, n = 323). Of those, 37% were diagnosed with hypertension only, 28% with dyslipidemia only, and 35% with both. Most reported good to average physical (64.1%) and mental health (48.6%). Overall, 25% indicated that they sometimes forget to take their prescribed medications, and 12% took two or more pills multiple times daily. Total HRQoL score was 68.9% (s.d. = 18.0%). About 10% of participants reported paying less attention to their healthcare condition during the pandemic. Estimates of multivariable analyses indicated a negative association between forgetfulness (− 9%, adjusted β: − 0.047, 95% confidence interval − 0.089 to − 0.005, p = 0.029), taking two or more pills multiple times daily compared to one pill once a day (− 16%, adjusted β: − 0.068, 95% confidence interval − 0.129 to − 0.008, p = 0.028) and total HRQoL. Conclusion Our results suggest that among adult patients with hypertension, dyslipidemia or both in Greece, those who forget to take their medications and those with more complex treatment regimens had lower HRQoL. Such patients merit special attention and require targeted approaches by healthcare providers to improve treatment compliance and health outcomes.
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Zuckerman AD, DeClercq J, Shah NB, Reynolds VW, Peter ME, Pavlik AM, Choi L. Primary medication nonadherence calculation method specifications impact resulting rates. Res Social Adm Pharm 2021; 18:2478-2483. [PMID: 33926825 DOI: 10.1016/j.sapharm.2021.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 03/19/2021] [Accepted: 03/30/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Previous literature has illustrated a wide range of primary medication nonadherence (PMN) rates due to inconsistent calculation methods and parameters, but the impact of parameter specifications on PMN rates has not been assessed. OBJECTIVES The objective of this study was to evaluate the impact of lookback window (LBW), duplicate window (DW), and fill window (FW) specifications on PMN rates in patients prescribed specialty self-administered oncology medications. METHODS This was a single-center, retrospective cohort analysis. Patients receiving a new electronic specialty oncology prescription January-December 2018 were included; excluded if re-routed to an external pharmacy within 2 days, fell within a DW, or cancelled within a FW. Twenty-four methods were used to calculate PMN based on combinations of the following parameters: (i) absence of prior specialty self-administered oncology medication fill within LBW (90, 180 days); (ii) absence of a duplicate prescription within DW (2, 7, 30 days); and (iii) sold status within FW (14, 30, 60, 90 days). For each method, PMN was calculated as the number of unsold prescriptions within the FW divided by all eligible prescriptions. RESULTS We evaluated 4,482 prescriptions, resulting in PMN ranging from 16% to 23%. Patients were commonly male (53%) and white (83%), with a median age of 64 years (interquartile range, IQR, 54, 72). Increasing the LBW from 90 to 180 days resulted in exclusion of 72 (2%) prescriptions and minimally impacted PMN rates. Most duplicate prescriptions (87%) occurred within two days of original prescription and PMN rates were minimally affected by DW. Most fulfilled prescriptions were filled within FW 30 days, 98% with a method of LBW 180, DW 2, and FW 30. Adjusting the FW consistently impacted PMN rates. CONCLUSIONS Because various PMN definitions can significantly impact results, a thorough explanation of all parameter specifications should be reported in research using PMN.
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Affiliation(s)
- Autumn D Zuckerman
- Department of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Josh DeClercq
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nisha B Shah
- Department of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Victoria W Reynolds
- Department of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Megan E Peter
- Department of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Aaron M Pavlik
- Department of Health Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Leena Choi
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
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Sigglekow F, Horsburgh S, Parkin L. Statin adherence is lower in primary than secondary prevention: A national follow-up study of new users. PLoS One 2020; 15:e0242424. [PMID: 33211724 PMCID: PMC7676659 DOI: 10.1371/journal.pone.0242424] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Accepted: 11/02/2020] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Maintaining adherence to statins reduces the risk of an initial cardiovascular disease (CVD) event in high-risk individuals (primary prevention) and additional CVD events following the first event (secondary prevention). The effectiveness of statin therapy is limited by the level of adherence maintained by the patient. We undertook a nationwide study to compare adherence and discontinuation in primary and secondary prevention patients. METHODS Dispensing data from New Zealand community pharmacies were used to identify patients who received their first statin dispensing between 2006 and 2011. The Medication Possession Ratio (MPR) and proportion who discontinued statin medication was calculated for the year following first statin dispensing for patients with a minimum of two dispensings. Adherence was defined as an MPR ≥ 0.8. Previous CVD was identified using hospital discharge records. Multivariable logistic regression was used to control for demographic and statin characteristics. RESULTS Between 2006 and 2011 289,666 new statin users were identified with 238,855 (82.5%) receiving the statin for primary prevention compared to 50,811 (17.5%) who received it for secondary prevention. The secondary prevention group was 1.55 (95% CI 1.51-1.59) times as likely to be adherent and 0.67 (95% CI 0.65-0.69) times as likely to discontinue statin treatment than the primary prevention group. An early gap in statin coverage increased the odds of discontinuing statin treatment. CONCLUSION Adherence to statin medication is higher in secondary prevention than primary prevention. Within each group, a range of demographic and treatment factors further influences adherence.
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Affiliation(s)
- Finn Sigglekow
- Department of Preventive and Social Medicine, Otago Medical School—Dunedin Campus, University of Otago, Dunedin, New Zealand
| | - Simon Horsburgh
- Department of Preventive and Social Medicine, Otago Medical School—Dunedin Campus, University of Otago, Dunedin, New Zealand
- Pharmacoepidemiology Research Network, University of Otago, Dunedin, New Zealand
- * E-mail:
| | - Lianne Parkin
- Department of Preventive and Social Medicine, Otago Medical School—Dunedin Campus, University of Otago, Dunedin, New Zealand
- Pharmacoepidemiology Research Network, University of Otago, Dunedin, New Zealand
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Kim YS, Han YE, Choi EA, You NY, Lee JW, You HS, Kim Y, Kim J, Kang HT. Statin use increased new-onset diabetes in hypercholesterolemic individuals: Data from the Korean National Health Insurance Service-National Health Screening Cohort database (NHIS-HEALS). Prim Care Diabetes 2020; 14:246-253. [PMID: 31548127 DOI: 10.1016/j.pcd.2019.08.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 08/17/2019] [Accepted: 08/28/2019] [Indexed: 01/08/2023]
Abstract
AIM We investigated the association between statin use and new-onset diabetes (NODM) in Korean adults with hypercholesterolemia. METHODS This study performed based on data from the National Health Insurance Service-National Health Screening Cohort for the years from 2002 to 2015. Statin users classified as high- or low- users according to medication possession ratio. Statin non-users consisted of hypercholesterolemic participants who never used statin over the entire follow-up period. 21,469 participants (10,880 statin users, 10,589 statin non-users) with a median follow-up period of 12.5 years were included. We estimated the NODM risk based on the survival analyses. In particular, to adjust for confounding effects, we considered Cox proportional hazards regression models over three stages. RESULTS Compared to non-users, statin users had a significantly higher risk for NODM. The fully adjusted hazard ratios (aHRs) (95% confidential intervals [95% CIs]) of statin users for NODM were 1.43 (1.31-1.57) in men, and 1.86 (1.66-2.10) in women, respectively after adjusted confounding factors including age and lifestyle factors. Compared to high-users, aHRs (95% CIs) of low-users for NODM were 1.16 (1.03-1.30) and 1.28 (1.16-1.43) in men and women, respectively. CONCLUSIONS In hypercholesterolemic patients, statin users have a higher risk of NODM than non-users.
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Affiliation(s)
- Ye-Seul Kim
- Department of Family Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Ye-Eun Han
- Department of Information & Statistics, Chungbuk National University, Cheongju, Republic of Korea
| | - Eun-A Choi
- Department of Information & Statistics, Chungbuk National University, Cheongju, Republic of Korea
| | - Na-Young You
- Department of Information & Statistics, Chungbuk National University, Cheongju, Republic of Korea
| | - Jae-Woo Lee
- Department of Family Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Hyo-Sun You
- Department of Family Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Yonghwan Kim
- Department of Family Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Joungyoun Kim
- Department of Information & Statistics, Chungbuk National University, Cheongju, Republic of Korea.
| | - Hee-Taik Kang
- Department of Family Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea; Department of Family Medicine, Chungbuk National University College of Medicine, Cheongju, Chungbuk, Republic of Korea.
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Khera R, Valero-Elizondo J, Das SR, Virani SS, Kash BA, de Lemos JA, Krumholz HM, Nasir K. Cost-Related Medication Nonadherence in Adults With Atherosclerotic Cardiovascular Disease in the United States, 2013 to 2017. Circulation 2019; 140:2067-2075. [DOI: 10.1161/circulationaha.119.041974] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background:
Medication nonadherence is associated with worse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD), a group who requires long-term therapy for secondary prevention. It is important to understand to what extent drug costs, which are potentially actionable factors, contribute to medication nonadherence.
Methods:
In a nationally representative survey of US adults in the National Health Interview Survey (2013–2017), we identified individuals ≥18 years with a reported history of ASCVD. Participants were considered to have experienced cost-related nonadherence (CRN) if in the preceding 12 months they reported skipping doses to save money, taking less medication to save money, or delaying filling a prescription to save money. We used survey analysis to obtain national estimates.
Results:
Of the 14 279 surveyed individuals with ASCVD, a weighted 12.6% (or 2.2 million [95% CI, 2.1–2.4]) experienced CRN, including 8.6% or 1.5 million missing doses, 8.8% or 1.6 million taking lower than prescribed doses, and 10.5% or 1.9 million intentionally delaying a medication fill to save costs. Age <65 years, female sex, low family income, lack of health insurance, and high comorbidity burden were independently associated with CRN, with >1 in 5 reporting CRN in these subgroups. Survey respondents with CRN compared with those without CRN had 10.8-fold higher odds of requesting low-cost medications and 8.9-fold higher odds of using alternative, nonprescription, therapies.
Conclusions:
One in 8 patients with ASCVD reports nonadherence to medications because of cost. The removal of financial barriers to accessing medications, particularly among vulnerable patient groups, may help improve adherence to essential therapy to reduce ASCVD morbidity and mortality.
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Affiliation(s)
- Rohan Khera
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas (R.K., S.R.D., J.A.d.L.)
| | - Javier Valero-Elizondo
- Center for Outcomes Research and Evaluation, Yale New Haven Health, CT (J.V.-E., H.M.K.)
| | - Sandeep R. Das
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas (R.K., S.R.D., J.A.d.L.)
| | - Salim S. Virani
- Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (S.S.V.)
| | - Bita A. Kash
- Center for Outcomes Research, Houston Methodist Research Institute, TX (B.A.K.)
- School of Public Health, Texas A&M University, College Station (B.A.K.)
| | - James A. de Lemos
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas (R.K., S.R.D., J.A.d.L.)
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Health, CT (J.V.-E., H.M.K.)
- Section of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT (H.M.K.)
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.)
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart & Vascular Center & Center for Outcomes Research Houston Methodist, Houston, TX (K.N.)
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Ye L, Zhang X. Visualizing the knowledge structure of medication-adherence research: A bibliometric analysis (1997-2016). Int J Health Plann Manage 2019; 34:1333-1353. [PMID: 31297912 DOI: 10.1002/hpm.2852] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 06/11/2019] [Indexed: 11/08/2022] Open
Abstract
This study involves a bibliometric analysis of the medication-adherence research and covers publications from 1997 to 2016. A database of 19 621 publications and 335 208 references from the Web of Science was investigated using the CiteSpace software. Some interesting findings were obtained. First, the most significant developments and progress in the medication-adherence research have occurred in North America and Europe. Second, Osterberg L. and the Journal of the American Medical Association (JAMA) are the most cited author and journal, respectively, with the strongest academic influence. Third, the existing studies on medication adherence primarily focus on pharmacology/pharmacy, psychiatry, public environmental occupational health, and general internal medicine. Fourth, research hotspots showed a diversifying trend and increasingly covered chronic diseases. Moreover, the topic of integrating formal outcome evaluations into adherence interventions is one long-term research hotspot. In addition, the research frontiers mainly focus on medication adherence for HIV/AIDS patients, especially active antiretroviral therapy. Finally, the evolution of the medication-adherence research has occurred in approximately three stages: The first stage involved the introduction of the term "compliance" into medicine, then the primary focus shifted to patient adherence to HIV/AIDS medication, and the final stage has involved a diversifying trend with more diseases and methods for measuring adherence being researched in the current stage. Furthermore, because of an aging population and a disease spectrum change in the current phase, the focus of medication-adherence research has gradually shifted from infectious diseases to chronic diseases.
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Affiliation(s)
- Liping Ye
- College of Public Administration, Central China Normal University, Wuhan, China
| | - Xinping Zhang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019; 73:e285-e350. [PMID: 30423393 DOI: 10.1016/j.jacc.2018.11.003] [Citation(s) in RCA: 1590] [Impact Index Per Article: 265.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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11
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143. [PMID: 30586774 PMCID: PMC7403606 DOI: 10.1161/cir.0000000000000625] [Citation(s) in RCA: 1371] [Impact Index Per Article: 228.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
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Systematic review of the predictors of statin adherence for the primary prevention of cardiovascular disease. PLoS One 2019; 14:e0201196. [PMID: 30653535 PMCID: PMC6336256 DOI: 10.1371/journal.pone.0201196] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 06/21/2018] [Indexed: 01/20/2023] Open
Abstract
INTRODUCTION Previous research has shown that statin adherence for the primary prevention of CVD is lower compared to secondary prevention populations. Therefore the aim of this systematic review was to review predictors of statin adherence for the primary prevention of CVD. METHODS A systematic search of papers published between Jan 1984 and May 2017 was conducted in PubMed, PsycINFO, EMbase and CINAHL databases. A study was eligible for inclusion if; 1) it was a study of the general population or of patients with familial hypercholesterolemia, hypertension, diabetes or arthritis; 2) statins were prescribed; 3) adherence was defined and measured as the extent to which patients followed their statin regimen during the period of prescription, and 4) it was an original trial or observational study (excluding case reports). A study was subsequently excluded if 1) results were not presented separately for primary prevention; 2) it was a trial of an intervention (for example patient education). Papers were reviewed by two researchers and consensus agreed with a third. A quality assessment (QA) tool was used to formally assess each included article. To evaluate the effect of predictors, data were quantitatively and qualitatively synthesised. RESULTS In total 19 studies met the inclusion criteria and nine were evaluated as high quality using the QA tool. The proportion of patients classed as "adherent" ranged from 17.8% to 79.2%. Potential predictors of statin adherence included traditional risk factors for CVD such as age, being male, diabetes and hypertension. Income associated with adherence more strongly in men than women, and highly educated men were more likely and highly educated women less likely to be adherent. Alcohol misuse and high BMI associated with non-adherence. There was no association between polypharmacy and statin adherence. The evidence base for the effect of other lifestyle factors and health beliefs on statin adherence was limited. CONCLUSION Current evidence suggests that patients with more traditional risk factors for CVD are more likely to be adherent to statins. The implications for future research are discussed.
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Steinert A, Eicher C, Haesner M, Steinhagen-Thiessen E. Effects of a long-term smartphone-based self-monitoring intervention in patients with lipid metabolism disorders. Assist Technol 2018; 32:109-116. [PMID: 29944463 DOI: 10.1080/10400435.2018.1493710] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The majority of lipid metabolism disorders can be managed well if patients adhere to their therapies. Self-monitoring can drive adherence with regards to medication intake, physical activities, and nutrition. Technical devices like smartphones can further support its users to achieve health-related goals. In a clinical trial, 100 patients with lipid metabolism disorders were asked to use a smartphone application over a duration of 12 months. Users of this app could set reminders to keep track of their medication and other disease-related variables, such as weight and cholesterol. More than half of all patients that started to use the app continued to use the app over the full 12 months. However, 43% of the patients that were asked to use the app stated that they never started to use the app. The reasons cited were lack of time, health problems, lack of motivation, and technical problems. The number of patients with high medication adherence increased significantly due to the use of the app. Health apps might benefit patients by enabling them to better manage chronic diseases, but successful digital health concepts will need to address efficient onboarding as well as long-term motivation.
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Affiliation(s)
- Anika Steinert
- Geriatrics Research Group, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Cornelia Eicher
- Geriatrics Research Group, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Marten Haesner
- Geriatrics Research Group, Charité - Universitätsmedizin Berlin, Berlin, Germany
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14
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Kontsevaya AV, Balanova YA, Imaeva AE, Khudyakov MB, Karpov OI, Drapkina OM. ECONOMIC BURDEN OF HYPERCHOLESTEROLEMIA IN THE RUSSIAN FEDERATION. RATIONAL PHARMACOTHERAPY IN CARDIOLOGY 2018. [DOI: 10.20996/1819-6446-2018-14-3-393-401] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background. The prevalence of hypercholesterolemia (HCE) is quite high in the Russian Federation (RF), and it is associated with clinical consequences and with potential economic impact. Impact includes not only cost of its correction, but also the cost of treatment of diseases and complications, as well as the deficiency of the gross domestic product (GDP).Aim. Evaluation of economic impact due to HCE in the Russian population, including direct expenditures of the Health Care System as well as nondirect impact in common economy.Material and methods. Prevalence of HCE in the RF was identified based on local published studies. Local statistical data (2016) on cardio-vascular diseases (CVDs), including Ischemic Heart Disease (IHD), Myocardial Infarction and cerebral-vascular disease were included in the analysis. Population Attributive Risk (PAR) of HCE in CVDs has been extrapolated on all Russian population. Official statistics, parameters of Govern Guarantees Program of Free Medical Aid were used for modelling of direct and non-direct components of economic impact. Total amount of premature deaths with calculation of years of potential life lost until life expectation at 72 years was calculated. Economic impact due to premature CVDs mortality in economic activity age with consideration on ratio of employment have included GDP lost. Calculation of GDP lost also included monetary impact based on number of disability CVDs patients multiplied on GDP per capita in disability group.Results.Visits to policlinics of patients with CVDs and HCE had a first place among all calls for medical aid. In the same time, hospitalization required in higher expenditures (outpatients cost treatment expenditures were 2.43 billion RUR, in-patients treatment – 18.21 billion RUR). IHD with HCE was most expensive for direct expenditures in comparison with other CVD groups: more than 28.9 billion RUR per year, and with direct non-medical expenditures of 29.3 billion RUR in total. Years of potential life lost in economic active age were one million in total, 1.29 trillion RUR per year mostly due to indirect expenditures due to premature deaths in economy activity age (99% of impact). Total Economic impact due to HCE in the Russian population for all HCE are estimated as 1.295 trillion RUR.Conclusion. Total economic impact due to HCE in the RF is 1.5% of GDP (2016), 1.295 trillion RUR. Direct expenditures included Health Care System expenses; disability covering had 2.3% only. Main part of impact is economic lost due to premature mortality and decrease of labor productivity. HCE patients control at target levels with help of healthy lifestyle and adequate pharmaceutical therapy can decrease economic impact.
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Aznar-Lou I, Pottegård A, Fernández A, Peñarrubia-María MT, Serrano-Blanco A, Sabés-Figuera R, Gil-Girbau M, Fajó-Pascual M, Moreno-Peral P, Rubio-Valera M. Effect of copayment policies on initial medication non-adherence according to income: a population-based study. BMJ Qual Saf 2018; 27:878-891. [DOI: 10.1136/bmjqs-2017-007416] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 02/06/2018] [Accepted: 02/11/2018] [Indexed: 01/03/2023]
Abstract
ObjectiveCopayment policies aim to reduce the burden of medication expenditure but may affect adherence and generate inequities in access to healthcare. The objective was to evaluate the impact of two copayment measures on initial medication non-adherence (IMNA) in several medication groups and by income level.DesignA population-based study was conducted using real-world evidence.SettingPrimary care in Catalonia (Spain) where two separate copayment measures (fixed copayment and coinsurance) were introduced between 2011 and 2013.ParticipantEvery patient with a new prescription issued between 2011 and 2014 (3 million patients and 10 million prescriptions).OutcomesIMNA was estimated throughout dispensing and invoicing information. Changes in IMNA prevalence after the introduction of copayment policies (immediate level change and trend changes) were estimated through segmented logistic regression. The regression models were stratified by economic status and medication groups.ResultsBefore changes to copayment policies, IMNA prevalence remained stable. The introduction of a fixed copayment was followed by a statistically significant increase in IMNA in poor population, low/middle-income pensioners and low-income non-pensioners (OR from 1.047 to 1.370). In high-income populations, there was a large statistically non-significant increase. IMNA decreased in the low-income population after suspension of the fixed copayment and the introduction of a coinsurance policy that granted this population free access to medications (OR=0.676). Penicillins were least affected while analgesics were affected to the greatest extent. IMNA to medications for chronic conditions increased in low/middle-income pensioners.ConclusionEven nominal charge fixed copayment may generate inequities in access to health services. An anticipation effect and expenses associated with IMNA may have generated short-term costs. A reduction in copayment can protect from non-adherence and have positive, long-term effects. Copayment scenarios could have considerable long-term consequences for health and costs due to increased IMNA in medication for chronic physical conditions.
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Abstract
BACKGROUND Long-term conditions place a substantial burden on primary care services, with drug therapy being a core aspect of clinical management. However, the ideal frequency for issuing repeat prescriptions for these medications is unknown. AIM To examine the impact of longer-duration (2-4 months) versus shorter-duration (28-day) prescriptions. DESIGN AND SETTING Systematic review of primary care studies. METHOD Scientific and grey literature databases were searched from inception until 21 October 2015. Eligible studies were randomised controlled trials and observational studies that examined longer prescriptions (2-4 months) compared with shorter prescriptions (28 days) in patients with stable, chronic conditions being treated in primary care. Outcomes of interest were: health outcomes, adverse events, medication adherence, medication wastage, professional administration time, pharmacists' time and/or costs, patient experience, and patient out-of-pocket costs. RESULTS From a search total of 24 876 records across all databases, 13 studies were eligible for review. Evidence of moderate quality from nine studies suggested that longer prescriptions are associated with increased medication adherence. Evidence from six studies suggested that longer prescriptions may increase medication waste, but results were not always statistically significant and were of very low quality. No eligible studies were identified that measured any of the other outcomes of interest, including health outcomes and adverse events. CONCLUSION There is insufficient evidence relating to the overall impact of differing prescription lengths on clinical and health service outcomes, although studies do suggest medication adherence may improve with longer prescriptions. UK recommendations to provide shorter prescriptions are not substantiated by the current evidence base.
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Osborn CY, Kripalani S, Goggins KM, Wallston KA. Financial strain is associated with medication nonadherence and worse self-rated health among cardiovascular patients. J Health Care Poor Underserved 2018; 28:499-513. [PMID: 28239015 DOI: 10.1353/hpu.2017.0036] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Non-traditional indicators of socioeconomic status (SES; e.g., home ownership) may be just as or even more predictive of health outcomes as traditional indicators of SES (e.g., income). This study tested whether financial strain (i.e., difficulty paying monthly bills) predicted medication non-adherence and worse self-rated health. Research assistants administered surveys to 1,527 patients with acute coronary syndromes or acute decom-pensated heart failure. In adjusted models, having a higher income was associated with being more adherent (p < .001), but was non-significant when adjusted for financial strain. Education, income, less financial strain, and being employed were each associated with better self-rated health (p < .001). Financial strain was associated with less adherence (β =-.17, p < .001) and worse self-rated health (β = -.23, p < .001), and mediated the effect of income on adherence (coeff = .078 [BCa 95% CI: .051 to .108]). Future research should further explore the nuanced link between SES and health behaviors and outcomes.
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Cutler RL, Fernandez-Llimos F, Frommer M, Benrimoj C, Garcia-Cardenas V. Economic impact of medication non-adherence by disease groups: a systematic review. BMJ Open 2018; 8:e016982. [PMID: 29358417 PMCID: PMC5780689 DOI: 10.1136/bmjopen-2017-016982] [Citation(s) in RCA: 523] [Impact Index Per Article: 74.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE To determine the economic impact of medication non-adherence across multiple disease groups. DESIGN Systematic review. EVIDENCE REVIEW A comprehensive literature search was conducted in PubMed and Scopus in September 2017. Studies quantifying the cost of medication non-adherence in relation to economic impact were included. Relevant information was extracted and quality assessed using the Drummond checklist. RESULTS Seventy-nine individual studies assessing the cost of medication non-adherence across 14 disease groups were included. Wide-scoping cost variations were reported, with lower levels of adherence generally associated with higher total costs. The annual adjusted disease-specific economic cost of non-adherence per person ranged from $949 to $44 190 (in 2015 US$). Costs attributed to 'all causes' non-adherence ranged from $5271 to $52 341. Medication possession ratio was the metric most used to calculate patient adherence, with varying cut-off points defining non-adherence. The main indicators used to measure the cost of non-adherence were total cost or total healthcare cost (83% of studies), pharmacy costs (70%), inpatient costs (46%), outpatient costs (50%), emergency department visit costs (27%), medical costs (29%) and hospitalisation costs (18%). Drummond quality assessment yielded 10 studies of high quality with all studies performing partial economic evaluations to varying extents. CONCLUSION Medication non-adherence places a significant cost burden on healthcare systems. Current research assessing the economic impact of medication non-adherence is limited and of varying quality, failing to provide adaptable data to influence health policy. The correlation between increased non-adherence and higher disease prevalence should be used to inform policymakers to help circumvent avoidable costs to the healthcare system. Differences in methods make the comparison among studies challenging and an accurate estimation of true magnitude of the cost impossible. Standardisation of the metric measures used to estimate medication non-adherence and development of a streamlined approach to quantify costs is required. PROSPERO REGISTRATION NUMBER CRD42015027338.
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Affiliation(s)
- Rachelle Louise Cutler
- Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Fernando Fernandez-Llimos
- Department of Social Pharmacy Faculty of Pharmacy, Research Institute for Medicines (iMed.ULisboa), University of Lisbon, Lisbon, Portugal
| | - Michael Frommer
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Charlie Benrimoj
- Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
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Martin-Ruiz E, Olry-de-Labry-Lima A, Ocaña-Riola R, Epstein D. Systematic Review of the Effect of Adherence to Statin Treatment on Critical Cardiovascular Events and Mortality in Primary Prevention. J Cardiovasc Pharmacol Ther 2018; 23:200-215. [DOI: 10.1177/1074248417745357] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Eva Martin-Ruiz
- Escuela Andaluza de Salud Pública (EASP), Campus Universitario de Cartuja, Granada, Spain
| | - Antonio Olry-de-Labry-Lima
- Escuela Andaluza de Salud Pública (EASP), Campus Universitario de Cartuja, Granada, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), Spain
- Instituto de Investigación Biosanitaria ibs, Granada, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Ricardo Ocaña-Riola
- Escuela Andaluza de Salud Pública (EASP), Campus Universitario de Cartuja, Granada, Spain
- Instituto de Investigación Biosanitaria ibs, Granada, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - David Epstein
- Facultad de Ciencias Económicas, Universidad de Granada, Campus Universitario de Cartuja, Granada, Spain
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Corrao G, Monzio Compagnoni M, Franchi M, Cantarutti A, Pugni P, Merlino L, Catapano AL, Mancia G. Good adherence to therapy with statins reduces the risk of adverse clinical outcomes even among very elderly. Evidence from an Italian real-life investigation. Eur J Intern Med 2018; 47:25-31. [PMID: 28958460 DOI: 10.1016/j.ejim.2017.09.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 08/31/2017] [Accepted: 09/21/2017] [Indexed: 12/17/2022]
Abstract
AIM To assess whether in individuals aged 80years or older adherence to statins is accompanied by a reduced risk of all-cause mortality and major cardiovascular events. METHODS A nested case-control study was carried out on a cohort of patients aged 80years or older (very elderly individuals), who were under treatment with statins between 2008 and 2009, using the database available for all citizenship (about 10 million) of Lombardy (Italy). Cases were the cohort members who experienced death or hospitalization for stroke, myocardial infarction or heart failure from the initial prescription until 2012. Up to five controls were randomly selected for each case. Logistic regression was used to model the outcome risk associated with the adherence to therapy with statins. Two younger patient cohorts aged 60 to 69years and 70 to 79years were taken for comparison. A set of sensitivity analyses was performed in order to account for sources of systematic uncertainty. RESULTS Among very elderly individuals, those who had high adherence to statins showed significant risk reductions of death (56%; 95% Confidence Interval, 54% to 59%), myocardial infarction (15%; 5% to 24%), stroke (13%; 0% to 24%) and heart failure (30%; 23% to 36%) with respect to those at very low adherence. Adherence-related risk reductions were only slightly better for younger cohort members. CONCLUSIONS Adherence to therapy with statins reduced the risk of both death and cardiovascular morbidity in patients aged 80years or older.
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Affiliation(s)
- Giovanni Corrao
- Interuniversity Centre of Healthcare Research & Pharmacoepidemiology, Laboratory of Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy; Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Milan, Italy.
| | - Matteo Monzio Compagnoni
- Interuniversity Centre of Healthcare Research & Pharmacoepidemiology, Laboratory of Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy; Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Milan, Italy
| | - Matteo Franchi
- Interuniversity Centre of Healthcare Research & Pharmacoepidemiology, Laboratory of Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy; Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Milan, Italy
| | - Anna Cantarutti
- Interuniversity Centre of Healthcare Research & Pharmacoepidemiology, Laboratory of Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy; Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Milan, Italy
| | - Pietro Pugni
- Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Milan, Italy
| | - Luca Merlino
- Operative Unit of Territorial Health Services, Lombardy Region, Milan, Italy
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences, Centre of Epidemiology and Preventive Pharmacology (SEFAP), University of Milano, Milan, Italy; IRCSS Multimedica, Sesto San Giovanni, Milan, Italy
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Miani C, Martin A, Exley J, Doble B, Wilson E, Payne R, Avery A, Meads C, Kirtley A, Jones MM, King S. Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling. Health Technol Assess 2017; 21:1-128. [PMID: 29268843 PMCID: PMC5757186 DOI: 10.3310/hta21780] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND To reduce expenditure on, and wastage of, drugs, some commissioners have encouraged general practitioners to issue shorter prescriptions, typically 28 days in length; however, the evidence base for this recommendation is uncertain. OBJECTIVE To evaluate the evidence of the clinical effectiveness and cost-effectiveness of shorter versus longer prescriptions for people with stable chronic conditions treated in primary care. DESIGN/DATA SOURCES The design of the study comprised three elements. First, a systematic review comparing 28-day prescriptions with longer prescriptions in patients with chronic conditions treated in primary care, evaluating any relevant clinical outcomes, adherence to treatment, costs and cost-effectiveness. Databases searched included MEDLINE (PubMed), EMBASE, Cumulative Index to Nursing and Allied Health Literature, Web of Science and Cochrane Central Register of Controlled Trials. Searches were from database inception to October 2015 (updated search to June 2016 in PubMed). Second, a cost analysis of medication wastage associated with < 60-day and ≥ 60-day prescriptions for five patient cohorts over an 11-year period from the Clinical Practice Research Datalink. Third, a decision model adapting three existing models to predict costs and effects of differing adherence levels associated with 28-day versus 3-month prescriptions in three clinical scenarios. REVIEW METHODS In the systematic review, from 15,257 unique citations, 54 full-text papers were reviewed and 16 studies were included, five of which were abstracts and one of which was an extended conference abstract. None was a randomised controlled trial: 11 were retrospective cohort studies, three were cross-sectional surveys and two were cost studies. No information on health outcomes was available. RESULTS An exploratory meta-analysis based on six retrospective cohort studies suggested that lower adherence was associated with 28-day prescriptions (standardised mean difference -0.45, 95% confidence interval -0.65 to -0.26). The cost analysis showed that a statistically significant increase in medication waste was associated with longer prescription lengths. However, when accounting for dispensing fees and prescriber time, longer prescriptions were found to be cost saving compared with shorter prescriptions. Prescriber time was the largest component of the calculated cost savings to the NHS. The decision modelling suggested that, in all three clinical scenarios, longer prescription lengths were associated with lower costs and higher quality-adjusted life-years. LIMITATIONS The available evidence was found to be at a moderate to serious risk of bias. All of the studies were conducted in the USA, which was a cause for concern in terms of generalisability to the UK. No evidence of the direct impact of prescription length on health outcomes was found. The cost study could investigate prescriptions issued only; it could not assess patient adherence to those prescriptions. Additionally, the cost study was based on products issued only and did not account for underlying patient diagnoses. A lack of good-quality evidence affected our decision modelling strategy. CONCLUSIONS Although the quality of the evidence was poor, this study found that longer prescriptions may be less costly overall, and may be associated with better adherence than 28-day prescriptions in patients with chronic conditions being treated in primary care. FUTURE WORK There is a need to more reliably evaluate the impact of differing prescription lengths on adherence, on patient health outcomes and on total costs to the NHS. The priority should be to identify patients with particular conditions or characteristics who should receive shorter or longer prescriptions. To determine the need for any further research, an expected value of perfect information analysis should be performed. STUDY REGISTRATION This study is registered as PROSPERO CRD42015027042. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Céline Miani
- Cambridge Centre for Health Services Research, RAND Europe, Cambridge, UK
| | - Adam Martin
- Cambridge Centre for Health Services Research, RAND Europe, Cambridge, UK
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Josephine Exley
- Cambridge Centre for Health Services Research, RAND Europe, Cambridge, UK
| | - Brett Doble
- Cambridge Centre for Health Services Research, Cambridge Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ed Wilson
- Cambridge Centre for Health Services Research, Cambridge Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Rupert Payne
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Anthony Avery
- School of Medicine, University of Nottingham, Nottingham, UK
| | - Catherine Meads
- Cambridge Centre for Health Services Research, RAND Europe, Cambridge, UK
- School of Nursing and Midwifery, Faculty of Health, Social Care and Education, Anglia Ruskin University, Cambridge, UK
| | - Anne Kirtley
- Cambridge Centre for Health Services Research, RAND Europe, Cambridge, UK
- Strategy Division, Wellcome Trust, London, UK
| | - Molly Morgan Jones
- Cambridge Centre for Health Services Research, RAND Europe, Cambridge, UK
| | - Sarah King
- Cambridge Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK
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Impact of initial medication non-adherence on use of healthcare services and sick leave: a longitudinal study in a large primary care cohort in Spain. Br J Gen Pract 2017; 67:e614-e622. [PMID: 28760740 DOI: 10.3399/bjgp17x692129] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 04/05/2017] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND Initial medication non-adherence is highly prevalent in primary care but no previous studies have evaluated its impact on the use of healthcare services and/or days on sick leave. AIM To estimate the impact of initial medication non-adherence on the use of healthcare services, days of sick leave, and costs overall and in specific medication groups. DESIGN AND SETTING A 3-year longitudinal register-based study of all primary care patients (a cohort of 1.7 million) who were prescribed a new medication in Catalonia (Spain) in 2012. METHOD Thirteen of the most prescribed and/or costly medication subgroups were considered. All medication and medication subgroups (chronic, analgesics, and penicillin) were analysed. The number of healthcare services used and days on sick leave were considered. Multilevel multivariate linear regression was used. Three levels were included: patient, GP, and primary care centre. RESULTS Initially adherent patients made more use of medicines and some healthcare services than non-adherent and partially adherent patients. They had lower productivity losses, producing a net economic return, especially when drugs for acute diseases (such as penicillins) were considered. Initial medication non-adherence resulted in a higher economic burden to the system in the short term. CONCLUSION Initial medication non-adherence seems to have a short-term impact on productivity losses and costs. The clinical consequences and long-term economic consequences of initial medication non-adherence need to be assessed. Interventions to promote initial medication adherence in primary care may reduce costs and improve health outcomes.
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Abstract
BACKGROUND Statins are one of the most common medications for stroke prevention. Increasing evidence indicates that the effect of statins against stroke may depend on the optimal adherence of the patients to the long-term therapies. However, the magnitude of the association between statin adherence and the risk of stroke has not been determined. OBJECTIVE We conducted a dose-response meta-analysis to investigate the association between statin adherence and the risk of stroke. METHODS The Medline and Embase databases were systematically searched to identify relevant observational studies that evaluated the association between statin adherence and stroke risk. Statin adherence was primarily quantified by the proportion of days covered by prescribed statins. Studies in which relative risks (RRs) with 95% confidence intervals (CIs) for the association between statin adherence and stroke risk were reported or could be estimated were included in this meta-analysis. RESULTS A total of 15 studies with 710,504 participants were included. The pooled RR of total stroke for the categories with the highest compared with the lowest adherence to statins was 0.72 (95% CI 0.65-0.79). Stratified by stroke subtype, the pooled RR for ischemic stroke (IS) was 0.83 (95% CI 0.74-0.92) and for hemorrhagic stroke was 0.75 (95% CI 0.51-1.09). The dose-response analysis indicated that an improvement in statin adherence of 20% was associated with an 8% lower risk of total stroke (RR 0.92; 95% CI 0.89-0.94). In the subgroup analysis for IS, an improvement in statin adherence of 20% was associated with a 7% lower risk of IS (RR 0.93; 95% CI 0.88-0.99). CONCLUSION Improved adherence to statins was associated with a lower risk of stroke, particularly of IS.
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Affiliation(s)
- Tao Xu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, China
| | - Xinyuan Yu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, China
| | - Shu Ou
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, China
| | - Xi Liu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, China
| | - Jinxian Yuan
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, China
| | - Yangmei Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, China.
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Association between copayment, medication adherence and outcomes in the management of patients with diabetes and heart failure. Health Policy 2017; 121:363-377. [PMID: 28314467 DOI: 10.1016/j.healthpol.2017.02.008] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 02/02/2017] [Accepted: 02/06/2017] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To determine the association between copayment, medication adherence and outcomes in patients with Heart failure (HF) and Diabetes Mellitus (DM). METHODS PubMed, Scopus and Cochrane databases were searched using combinations of four sets of key words for: drug cost sharing; resource use, health and economic outcomes; medication adherence; and chronic disease. RESULTS Thirty eight studies were included in the review. Concerning the direct effect of copayment changes on outcomes, the scarcity and diversity of data, does not allow us to reach a clear conclusion, although there is some evidence indicating that higher copayments may result in poorer health and economic outcomes. Seven and one studies evaluating the relationship between copayment and medication adherence in DM and HF population, respectively, demonstrated an inverse statistically significant association. All studies (29) examining the relationship between medication adherence and outcomes, revealed that increased adherence is associated with health benefits in both DM and HF patients. Finally, the majority of studies in both populations, showed that medication adherence was related to lower resource utilization which in turn may lead to lower total healthcare cost. CONCLUSION The results of our systematic review imply that lower copayments may result in higher medication adherence, which in turn may lead to better health outcomes and lower total healthcare expenses. Future studies are recommended to reinforce these findings.
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Bock JO, Hajek A, Weyerer S, Werle J, Wagner M, Maier W, Stark A, Kaduszkiewicz H, Wiese B, Moor L, Stein J, Riedel-Heller SG, König HH. The Impact of Depressive Symptoms on Healthcare Costs in Late Life: Longitudinal Findings From the AgeMooDe Study. Am J Geriatr Psychiatry 2017; 25:131-141. [PMID: 27931772 DOI: 10.1016/j.jagp.2016.10.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 10/25/2016] [Accepted: 10/25/2016] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To examine whether depressive symptoms affect healthcare costs in old age longitudinally. DESIGN Multicenter prospective observational cohort study (two waves with nt1 = 1,195 and nt2 = 951) in Germany. SETTING Community. PARTICIPANTS Participants aged 75 years and older recruited via general practitioners. MEASUREMENTS Depressive symptoms were assessed by the Geriatric Depression Scale (GDS). The health-related resource use was measured retrospectively from a societal perspective based on a questionnaire, covering outpatient services, inpatient treatment, pharmaceuticals, as well as formal and informal nursing care. Hybrid regression models were used to determine the between- and within-effect of depressive symptoms on healthcare costs, adjusting for important covariates. RESULTS Six-month total cost increased from €3,090 (t1) to €3,748 (t2). The hybrid random effects models showed that individuals with more depressive symptoms had higher healthcare costs compared with individuals with less depressive symptoms (between-effect). Moreover, an intra-individual increase in depressive symptoms increased healthcare costs by €539.60 (within-effect) per symptom on GDS. CONCLUSIONS Our findings emphasize the economic importance of depressive symptoms in old age. Appropriate interventions to treat depressive symptoms in old age might also be a promising strategy to reduce healthcare costs.
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Affiliation(s)
- Jens-Oliver Bock
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, Hamburg, Germany.
| | - André Hajek
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, Hamburg, Germany
| | - Siegfried Weyerer
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Jochen Werle
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Michael Wagner
- Department of Psychiatry, University of Bonn and German Center for Neurodegenerative Diseases within the Helmholtz Association, Bonn, Germany
| | - Wolfgang Maier
- Department of Psychiatry, University of Bonn and German Center for Neurodegenerative Diseases within the Helmholtz Association, Bonn, Germany
| | - Anne Stark
- Institute of Primary Medical Care, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hanna Kaduszkiewicz
- Institute of General Practice, Medical Faculty, University of Kiel, Kiel, Germany
| | - Birgitt Wiese
- Institute for General Practice, Working Group Medical Statistics and IT-Infrastructure, Hannover Medical School, Hannover, Germany
| | - Lilia Moor
- Institute for General Practice, Working Group Medical Statistics and IT-Infrastructure, Hannover Medical School, Hannover, Germany
| | - Janine Stein
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, Hamburg, Germany
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Insel KC, Einstein GO, Morrow DG, Koerner KM, Hepworth JT. Multifaceted Prospective Memory Intervention to Improve Medication Adherence. J Am Geriatr Soc 2016; 64:561-8. [PMID: 27000329 DOI: 10.1111/jgs.14032] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To test whether a multifaceted prospective memory intervention improved adherence to antihypertensive medications and to assess whether executive function and working memory processes moderated the intervention effects. DESIGN Two-group longitudinal randomized control trial. SETTING Community. PARTICIPANTS Individuals aged 65 and older without signs of dementia or symptoms of severe depression who were self-managing prescribed medication. MEASUREMENTS After 4 weeks of initial adherence monitoring using a medication event monitoring system, individuals with 90% or less adherence were randomly assigned to groups. INTERVENTION The prospective memory intervention was designed to provide strategies that switch older adults from relying on executive function and working memory processes (that show effects of cognitive aging) to mostly automatic associative processes (that are relatively spared with normal aging) for remembering to take medications. Strategies included establishing a routine, establishing cues strongly associated with medication taking actions, performing the action immediately upon thinking about it, using a medication organizer, and imagining medication taking to enhance encoding and improve cuing. RESULTS There was significant improvement in adherence in the intervention group (57% at baseline to 78% after the intervention), but most of these gains were lost after 5 months. The control condition started at 68% and was stable during the intervention, but dropped to 62%. Executive function and working memory moderated the intervention effect, with the intervention producing greater benefit for those with lower executive function and working memory. CONCLUSION The intervention improved adherence, but the benefits were not sustained. Further research is needed to determine how to sustain the substantial initial benefits.
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Affiliation(s)
- Kathie C Insel
- College of Nursing, University of Arizona, Tucson, Arizona
| | - Gilles O Einstein
- Department of Psychology, Furman University, Greenville, South Carolina
| | - Daniel G Morrow
- Department of Educational Psychology, University of Illinois, Urbana, Illinois
| | - Kari M Koerner
- College of Nursing, University of Arizona, Tucson, Arizona
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Luebke T, Brunkwall J. Development of a Microsimulation Model to Predict Stroke and Long-Term Mortality in Adherent and Nonadherent Medically Managed and Surgically Treated Octogenarians with Asymptomatic Significant Carotid Artery Stenosis. World Neurosurg 2016; 92:513-520.e2. [DOI: 10.1016/j.wneu.2016.05.034] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 05/15/2016] [Accepted: 05/17/2016] [Indexed: 11/30/2022]
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Polsook R, Aungsuroch Y, Thongvichean T. The effect of self-efficacy enhancement program on medication adherence among post-acute myocardial infarction. Appl Nurs Res 2016; 32:67-72. [PMID: 27969054 DOI: 10.1016/j.apnr.2016.05.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Revised: 04/11/2016] [Accepted: 05/10/2016] [Indexed: 11/16/2022]
Abstract
AIM AND BACKGROUND Studies have reported that adherence to medications after hospital discharge for myocardial infarction is poor with about 12% to 20% of patients discontinue their medications six months after discharge. This study aimed to examine the effect of self-efficacy enhancement program on medication adherence in post-acute myocardial infarction patients. METHODS A total 44 patient with post-acute myocardial infarction were recruited from the in-patient department, Police General Hospital. The participants were random assigned into control group and experimental group. The control group received conventional care while the experimental group attended a four-week self-efficacy enhancement program, which included motivation, skill practice, and monitoring skills. The mean self-efficacy score between groups was assessed. The pill count was used to measure medication adherence. Correlations between self-efficacy and medication adherence were examined. Data were analyzed using descriptive statistic, Pearson's correlation, and t-test. RESULTS The mean score on medication adherence of the experiment group who attended the self-efficacy enhancement program was significantly greater than the control group (t=-2.77; df=21; p=0.01). The mean scores of self-efficacy between the experimental and control group were 35.73 (SD=4.11) and 35.41 (SD=3.78). The correlations between self-efficacy and medication adherence were significantly (r=1.00, p=0.00). CONCLUSION The effectiveness of self-efficacy enhancement program was effective in improving medication adherence in Thai post-acute myocardial infarction.
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Affiliation(s)
- Rapin Polsook
- Faculty of Nursing, Chulalongkorn University, Bangkok 10330, Thailand.
| | - Yupin Aungsuroch
- Faculty of Nursing, Chulalongkorn University, Bangkok 10330, Thailand.
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Warren JR, Falster MO, Tran B, Jorm L. Association of Continuity of Primary Care and Statin Adherence. PLoS One 2015; 10:e0140008. [PMID: 26448561 PMCID: PMC4598138 DOI: 10.1371/journal.pone.0140008] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 09/21/2015] [Indexed: 11/21/2022] Open
Abstract
Purpose Deficiencies in medication adherence are a major barrier to effectiveness of chronic condition management. Continuity of primary care may promote adherence. We assessed the association of continuity of primary care with adherence to long-term medication as exemplified by statins. Research Design We linked data from a prospective study of 267,091 Australians aged 45 years and over to national data sets on prescription reimbursements, general practice claims, hospitalisations and deaths. For participants having a statin dispense within 90 days of study entry, we computed medication possession ratio (MPR) and usual provider continuity index (UPI) for the subsequent two years. We used multivariate Poisson regression to calculate the relative risk (RR) and 95% confidence interval (CI) for the association between tertiles of UPI and MPR adjusted for socio-demographic and health-related patient factors, including age, gender, remoteness of residence, smoking, alcohol intake, fruit and vegetable intake, physical activity, prior heart disease and speaking a language other than English at home. We performed a comparison approach using propensity score matching on a subset of the sample. Results 36,144 participants were eligible and included in the analysis among whom 58% had UPI greater than 75%. UPI was significantly associated with 5% increased MPR for statin adherence (95% CI 1.04–1.06) for highest versus lowest tertile. Dichotomised analysis using a cut-off of UPI at 75% showed a similar effect size. The association between UPI and statin adherence was independent of socio-demographic and health-related factors. Stratification analyses further showed a stronger association among those who were new to statins (RR 1.33, 95% CI 1.15–1.54). Conclusions Greater continuity of care has a positive association with medication adherence for statins which is independent of socio-demographic and health-related factors.
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Affiliation(s)
- James R. Warren
- Department of Computer Science, University of Auckland, Auckland, New Zealand
- * E-mail:
| | - Michael O. Falster
- Centre for Big Data Research in Health, University of New South Wales, Kensington, New South Wales, Australia
| | - Bich Tran
- Centre for Big Data Research in Health, University of New South Wales, Kensington, New South Wales, Australia
| | - Louisa Jorm
- Centre for Big Data Research in Health, University of New South Wales, Kensington, New South Wales, Australia
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Birtcher K. When compliance is an issue-how to enhance statin adherence and address adverse effects. Curr Atheroscler Rep 2015; 17:471. [PMID: 25410047 DOI: 10.1007/s11883-014-0471-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Cardiovascular disease is prevalent and costly. Interventions and therapies that reduce morbidity and mortality associated with cardiovascular disease could have an enormous impact on clinical and economic outcomes. Statins reduce atherosclerotic cardiovascular disease-related morbidity and mortality; however, adherence to statins is less than optimal. It is important for clinicians as well as health plan managers to be aware of the patient- and insurance plan-specific factors that have been shown to influence adherence. Perceived statin-related side effects may also decrease adherence. Statin-related myalgia may be difficult to distinguish from myalgia caused by other conditions, and statin therapy may be discontinued unnecessarily in patients who would otherwise benefit. It is imperative that clinicians work closely with patients to improve adherence to statin therapy and be knowledgable in managing potential statin-related side effects.
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Affiliation(s)
- Kim Birtcher
- University of Houston College of Pharmacy, 1441 Moursund St., Houston, TX, 77030, USA,
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31
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De Vera MA, Bhole V, Burns LC, Lacaille D. Impact of statin adherence on cardiovascular disease and mortality outcomes: a systematic review. Br J Clin Pharmacol 2015; 78:684-98. [PMID: 25364801 DOI: 10.1111/bcp.12339] [Citation(s) in RCA: 206] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
AIMS While suboptimal adherence to statin medication has been quantified in real-world patient settings, a better understanding of its impact is needed, particularly with respect to distinct problems of medication taking. Our aim was to synthesize current evidence on the impacts of statin adherence, discontinuation and persistence on cardiovascular disease and mortality outcomes. METHODS We conducted a systematic review of peer-reviewed studies using a mapped search of Medline, Embase and International Pharmaceutical Abstracts databases. Observational studies that met the following criteria were included: defined patient population;statin adherence exposure; defined study outcome [i.e. cardiovascular disease (CVD), mortality]; and reporting of statin-specific results. RESULTS Overall, 28 studies were included, with 19 studies evaluating outcomes associated with statin adherence, six with statin discontinuation and three with statin persistence. Among adherence studies, the proportion of days covered was the most widely used measure, with the majority of studies reporting increased risk of CVD (statistically significant risk estimates ranging from 1.22 to 5.26)and mortality (statistically significant risk estimates ranging from 1.25 to 2.54) among non-adherent individuals. There was greater methodological variability in discontinuation and persistence studies. However, findings of increased CVD (statistically significant risk estimates ranging from 1.22 to 1.67) and mortality (statistically significant risk estimates ranging from 1.79 to 5.00) among nonpersistent individuals were also consistently reported. CONCLUSIONS Observational studies consistently report an increased risk of adverse outcomes associated with poor statin adherence. These findings have important implications for patients and physicians and emphasize the importance of monitoring and encouraging adherence to statin therapy.
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Abstract
Medication adherence plays an important role in optimizing the outcomes of many treatment and preventive regimens in chronic illness. Self-report is the most common method for assessing adherence behavior in research and clinical care, but there are questions about its validity and precision. The NIH Adherence Network assembled a panel of adherence research experts working across various chronic illnesses to review self-report medication adherence measures and research on their validity. Self-report medication adherence measures vary substantially in their question phrasing, recall periods, and response items. Self-reports tend to overestimate adherence behavior compared with other assessment methods and generally have high specificity but low sensitivity. Most evidence indicates that self-report adherence measures show moderate correspondence to other adherence measures and can significantly predict clinical outcomes. The quality of self-report adherence measures may be enhanced through efforts to use validated scales, assess the proper construct, improve estimation, facilitate recall, reduce social desirability bias, and employ technologic delivery. Self-report medication adherence measures can provide actionable information despite their limitations. They are preferred when speed, efficiency, and low-cost measures are required, as is often the case in clinical care.
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Hutchins DS, Zeber JE, Roberts CS, Williams AF, Manias E, Peterson AM. Initial Medication Adherence-Review and Recommendations for Good Practices in Outcomes Research: An ISPOR Medication Adherence and Persistence Special Interest Group Report. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2015; 18:690-699. [PMID: 26297098 DOI: 10.1016/j.jval.2015.02.015] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Revised: 02/20/2015] [Accepted: 02/23/2015] [Indexed: 06/04/2023]
Abstract
BACKGROUND Positive associations between medication adherence and beneficial outcomes primarily come from studying filling/consumption behaviors after therapy initiation. Few studies have focused on what happens before initiation, the point from prescribing to dispensing of an initial prescription. OBJECTIVE Our objective was to provide guidance and encourage high-quality research on the relationship between beneficial outcomes and initial medication adherence (IMA), the rate initially prescribed medication is dispensed. METHODS Using generic adherence terms, an international research panel identified IMA publications from 1966 to 2014. Their data sources were classified as to whether the primary source reflected the perspective of a prescriber, patient, or pharmacist or a combined perspective. Terminology and methodological differences were documented among core (essential elements of presented and unpresented prescribing events and claimed and unclaimed dispensing events regardless of setting), supplemental (refined for accuracy), and contextual (setting-specific) design parameters. Recommendations were made to encourage and guide future research. RESULTS The 45 IMA studies identified used multiple terms for IMA and operationalized measurements differently. Primary data sources reflecting a prescriber's and pharmacist's perspective potentially misclassified core parameters more often with shorter/nonexistent pre- and postperiods (1-14 days) than did a combined perspective. Only a few studies addressed supplemental issues, and minimal contextual information was provided. CONCLUSIONS General recommendations are to use IMA as the standard nomenclature, rigorously identify all data sources, and delineate all design parameters. Specific methodological recommendations include providing convincing evidence that initial prescribing and dispensing events are identified, supplemental parameters incorporating perspective and substitution biases are addressed, and contextual parameters are included.
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Affiliation(s)
| | - John E Zeber
- Scott & White Healthcare, Center for Applied Health Research, Temple, TX, USA; Central Texas Veterans Health Care System, Waco, TX, USA; Texas A&M College of Medicine, Temple, TX, USA
| | | | | | - Elizabeth Manias
- Deakin University, School of Nursing and Midwifery, Victoria, Australia; Department of Medicine, Royal Melbourne Hospital, the University of Melbourne, Melbourne, Australia
| | - Andrew M Peterson
- Mayes College of Healthcare Business and Policy, University of the Sciences, Philadelphia, PA, USA
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Turin A, Pandit J, Stone NJ. Statins and Nonadherence. J Cardiovasc Pharmacol Ther 2015; 20:447-56. [DOI: 10.1177/1074248415578170] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2014] [Accepted: 02/23/2015] [Indexed: 12/18/2022]
Abstract
Statin nonadherence is a major challenge to optimal management. Patients nonadherent to statin therapy do not receive the expected benefit relative to the degree of low-density lipoprotein cholesterol (LDL-C) lowering obtained. This is important because new evidence guidelines recommend statins as the first-line therapy for those in high-risk groups (secondary prevention, patients with diabetes 40-75 years of age, and LDL-C ≥ 190 mg/dL) and in selected primary prevention patients. Statin assignment in the latter group occurs only in those with an estimated ≥7.5% 10-year atherosclerotic cardiovascular disease risk after shared decision making in a clinician–patient risk discussion. However, in numerous studies, statin nonadherence shows little or no benefit in reducing cardiovascular events or mortality compared to placebo, effectively negating the risk reduction expected from statin use and concomitantly increasing the total cost of health care. The causes and solutions for nonadherence are multifactorial and include patient, clinician, and health system factors. We believe that a clinician–patient partnership that facilitates patients’ understanding of the potential for optimal benefit with the least adverse effects is an important first step toward improving adherence. A transtheoretical model of stages of behavior change helps clinicians address many of the common factors limiting adherence to statins. We conclude with a teaching tool emphasizing a structured approach to statin therapy with patient-centered risk discussions.
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Affiliation(s)
- Alexander Turin
- Department of Internal Medicine, Loyola University Medical Center, Maywood, IL, USA
| | - Jay Pandit
- Department of Cardiology, Bluhm Cardiovascular Institute, Northwestern University, Chicago, IL, USA
| | - Neil J. Stone
- Department of Cardiology, Bluhm Cardiovascular Institute, Northwestern University, Chicago, IL, USA
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Ladova K, Matoulkova P, Zadak Z, Macek K, Vyroubal P, Vlcek J, Morisky DE. Self-reported adherence by MARS-CZ reflects LDL cholesterol goal achievement among statin users: validation study in the Czech Republic. J Eval Clin Pract 2014; 20:671-7. [PMID: 24917035 DOI: 10.1111/jep.12201] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/14/2014] [Indexed: 12/27/2022]
Abstract
RATIONALE, AIMS AND OBJECTIVES Measuring self-reported adherence may contribute to minimizing the risk of therapy failure. Hence, the main aim of the study was to assess the psychometric properties of the Czech version of Medication Adherence Report Scale (MARS-CZ) and its appropriateness for use in long-term statin therapy where goal levels of low-density lipoprotein cholesterol (LDL-c) should be achieved. METHODS Anonymous structured interview was performed to determine self-reported adherence by MARS-CZ in outpatients chronically treated with statins. At the same time, medication records were reviewed for inclusion of patients into groups of those who achieved and do not achieved LDL-c goal according to cardiovascular risk level. Reliability and validity of MARS-CZ were tested as well as the relationship between adherence and LDL-c goal achievement was examined. RESULTS A total of 136 (86.6%) patients completed the interview; mean age was 66.1 years; 49.3% were male. The mean score of MARS-CZ was 24.4 and showed positive skewing. Satisfactory internal consistency (Cronbach's α=0.54), strong test-retest reliability (r=0.83, P<0.001; intra-class correlation=0.63, 95% confidence interval: 0.35-0.81) and positive correlation with eight-item Morisky Medication Adherence Scale (r=0.62, P<0.001) were indicated. Low validity values were found between MARS-CZ and 12-item Short Form Health Survey mental and physical subscales. MARS-CZ score significantly correlated with LDL-c goal achievement (P<0.05) when all patients who achieved LDL-c goal (35%) reported high adherence to statin. MARS-CZ score also correlated with cardiovascular risk level and doctor's judgments on adjusting treatment targets for each patient. CONCLUSION This study proved MARS-CZ as an acceptable self-reported adherence measure. In routine clinical practice, MARS-CZ could be helpful to reveal medication non-adherence before the alteration of drug regimen and thereby contributing to enhancement of statin therapy management.
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Affiliation(s)
- Katerina Ladova
- Department of Social and Clinical Pharmacy, Charles University in Prague, Faculty of Pharmacy in Hradec Kralove, Hradec Kralove, Czech Republic
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Slejko JF, Sullivan PW, Anderson HD, Ho PM, Nair KV, Campbell JD. Dynamic medication adherence modeling in primary prevention of cardiovascular disease: a Markov microsimulation methods application. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2014; 17:725-731. [PMID: 25236996 DOI: 10.1016/j.jval.2014.06.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2013] [Revised: 06/02/2014] [Accepted: 06/14/2014] [Indexed: 06/03/2023]
Abstract
BACKGROUND Real-world patients' medication adherence is lower than that of clinical trial patients. Hence, the effectiveness of medications in routine practice may differ. OBJECTIVES The study objective was to compare the outcomes of an adherence-naive versus a dynamic adherence modeling framework using the case of statins for the primary prevention of cardiovascular (CV) disease. METHODS Statin adherence was categorized into three state-transition groups on the basis of an epidemiological cohort study. Yearly adherence transitions were incorporated into a Markov microsimulation using TreeAge software. Tracker variables were used to store adherence transitions, which were used to adjust probabilities of CV events over the patient's lifetime. Microsimulation loops "random walks" estimated the average accrued quality-adjusted life-years (QALYs) and CV events. For each 1,000-patient microsimulations, 10,000 outer loops were performed to reflect second-order uncertainty. RESULTS The adherence-naive model estimated 0.14 CV events avoided per person, whereas the dynamic adherence model estimated 0.08 CV events avoided per person. Using the adherence-naive model, we found that statin therapy resulted in 0.40 QALYs gained over the lifetime horizon on average per person while the dynamic adherence model estimated 0.22 incremental QALYs gained. Subgroup analysis revealed that maintaining high adherence in year 2 resulted in 0.23 incremental QALYs gained as compared with 0.16 incremental QALYs gained when adherence dropped to the lowest level. CONCLUSIONS A dynamic adherence Markov microsimulation model reveals risk reduction and effectiveness that are lower than with an adherence-naive model, and reflective of real-world practice. Such a model may highlight the value of improving or maintaining good adherence.
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Affiliation(s)
- Julia F Slejko
- Pharmaceutical Outcomes Research and Policy Program, University of Washington School of Pharmacy, Seattle, WA.
| | | | - Heather D Anderson
- University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences
| | - P Michael Ho
- VA Eastern Colorado Health Care System, University of Colorado, Denver CO
| | - Kavita V Nair
- University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences
| | - Jonathan D Campbell
- University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences
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Pandya A, Gaziano TA, Weinstein MC, Cutler D. More americans living longer with cardiovascular disease will increase costs while lowering quality of life. Health Aff (Millwood) 2014; 32:1706-14. [PMID: 24101059 DOI: 10.1377/hlthaff.2013.0449] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
In the past several decades, some risk factors for cardiovascular disease have improved, while others have worsened. For example, smoking rates have dropped and treatment rates for cardiovascular disease have increased-factors that have made the disease less fatal. At the same time, Americans' average body mass index and incidence of diabetes have increased as the population continues to live longer-factors that have made cardiovascular disease more prevalent. To assess the aggregate impact of these opposing trends, we used the nine National Health and Nutrition Examination Survey waves from 1973 to 2010 to forecast total cardiovascular disease risk and prevalence from 2015 to 2030. We found that continued improvements in cardiovascular disease treatment and declining smoking rates will not outweigh the influence of increasing population age and obesity on cardiovascular disease risk. Given an aging population, an obesity epidemic, and declining mortality from the disease, the United States should expect to see a sharp rise in the health care costs, disability, and reductions in quality of life associated with increased prevalence of cardiovascular disease. Policies that target the treatment of high blood pressure and cholesterol and the reduction of obesity will be necessary to curb the imminent spike in cardiovascular disease prevalence.
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Pringle JL, Boyer A, Conklin MH, McCullough JW, Aldridge A. The Pennsylvania Project: Pharmacist Intervention Improved Medication Adherence And Reduced Health Care Costs. Health Aff (Millwood) 2014; 33:1444-52. [DOI: 10.1377/hlthaff.2013.1398] [Citation(s) in RCA: 95] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Janice L. Pringle
- Janice L. Pringle ( ) is director of the Program Evaluation and Research Unit at the University of Pittsburgh School of Pharmacy, in Pennsylvania
| | - Annette Boyer
- Annette Boyer is vice president of business development at CECity Inc., in Homestead, Pennsylvania
| | - Mark H. Conklin
- Mark H. Conklin is vice president of operations at Pharmacy Quality Solutions, in Sewickley, Pennsylvania
| | - Jesse W. McCullough
- Jesse W. McCullough is director of field clinical services at Rite Aid Corp., in Pittsburgh
| | - Arnie Aldridge
- Arnie Aldridge is an economist at RTI International in Durham, North Carolina
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Raal FJ, Blom DJ, Naidoo S, Bramlage P, Brudi P. Prevalence of dyslipidaemia in statin-treated patients in South Africa: results of the DYSlipidaemia International Study (DYSIS). Cardiovasc J Afr 2014; 24:330-8. [PMID: 24240385 PMCID: PMC3821092 DOI: 10.5830/cvja-2013-071] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Accepted: 09/18/2013] [Indexed: 01/14/2023] Open
Abstract
INTRODUCTION AND OBJECTIVES Cardiovascular disease (CVD) is the leading cause of mortality worldwide and increased levels of low-density lipoprotein cholesterol (LDL-C) are an important modifiable risk factor. Statins lower LDL-C levels and have been shown to reduce CVD risk. Despite the widespread availability of statins, many patients do not reach the lipid targets recommended by guidelines. We evaluated lipid goal attainment in statin-treated patients in South Africa and analysed variables contributing to poor goal attainment as part of the DYSlipidaemia International Study (DYSIS). METHODS This cross-sectional, observational study enrolled 1 029 consecutive South African patients consulting officebased physicians. Patients were at least 45 years old, had to be treated with a stable dose of statins for at least three months and had been fasting for 12 hours. We evaluated lipid goal attainment and examined variables associated with residual dyslipidaemia [abnormal levels of LDL-C, highdensity lipoprotein cholesterol (HDL-C) and/or triglycerides (TG)]. RESULTS We found that 50.3% of the patients overall did not achieve target LDL-C levels and 73.5% of patients were at very high cardiovascular risk. In addition, 33.7% had low levels of HDL-C, while 45.3% had elevated TG levels despite statin therapy. Asian and mixed-ancestry patients but not black (vs Caucasian thnicity), as well as obese individuals in South Africa were more likely to still have dyslipidaemia involving all three lipid fractions. CONCLUSIONS We observed that many patients in South Africa experienced persistent dyslipidaemia despite statin treatment, supporting the concept that there is a need for more intensive statin therapy or the development of novel treatment strategies. Measures aimed at combating obesity and other lifestyle-related risk factors are also vital for effectively controlling dyslipidaemia and reducing the burden of CVD.
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Affiliation(s)
- Frederick J Raal
- Carbohydrate and Lipid Metabolism Research Unit, Department of Medicine, University of the Witwatersrand, Johannesburg, South Africa
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Nolan RP, Payne AY, Ross H, White M, D'Antono B, Chan S, Barr SI, Gwadry-Sridhar F, Nigam A, Perreault S, Farkouh M, McDonald M, Goodman J, Thomas S, Zieroth S, Isaac D, Oh P, Rajda M, Chen M, Eysenbach G, Liu S, Zbib A. An Internet-Based Counseling Intervention With Email Reminders that Promotes Self-Care in Adults With Chronic Heart Failure: Randomized Controlled Trial Protocol. JMIR Res Protoc 2014; 3:e5. [PMID: 24480783 PMCID: PMC3936276 DOI: 10.2196/resprot.2957] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2013] [Revised: 11/18/2013] [Accepted: 11/22/2013] [Indexed: 01/03/2023] Open
Abstract
Background Chronic heart failure (CHF) is a public health priority. Its age-standardized prevalence has increased over the past decade. A major challenge for the management of CHF is to promote long-term adherence to self-care behaviors without overtaxing available health care resources. Counseling by multidisciplinary health care teams helps to improve adherence to self-care behaviors and to reduce the rate of death and hospitalization. In the absence of intervention, adherence to self-care is below recommended standards. Objective This trial aims to establish and evaluate a Canadian e-platform that will provide a core, standardized protocol of behavioral counseling and education to facilitate long-term adherence to self-care among patients with CHF. Methods Canadian e-Platform to Promote Behavioral Self-Management in Chronic Heart Failure (CHF-CePPORT) is a multi-site, double blind, randomized controlled trial with a 2 parallel-group (e-Counseling + Usual Care vs e-Info Control + Usual Care) by 3 assessments (baseline, 4-, and 12-month) design. We will identify subjects with New York Heart Association Class II or III systolic heart failure from collaborating CHF clinics and then recruit them (n=278) by phone. Subjects will be randomized in blocks within each site (Toronto, Montreal, and Vancouver). The primary outcome will be improved quality of life, defined as an increased number of subjects with an improvement of ≥5 points on the summary score of the Kansas City Cardiomyopathy Questionnaire. We will also assess the following secondary outcomes: (1) diet habits, depression, anxiety, smoking history, stress level, and readiness for change using self-report questionnaires, (2) physical activity level, current smoking status, and vagal-heart rate modulation by physiological tests, and (3) exercise capacity, prognostic indicators of cardiovascular functioning, and medication adherence through medical chart review. The primary outcome will be analyzed using generalized estimation equations with repeated measures on an intention-to-treat basis. Secondary outcomes will be analyzed using repeated-measures linear mixed models with a random effects intercept. All significant main effects or interactions in the statistical models will be followed up with post hoc contrasts using a Bonferroni correction with a 2-sided statistical significance criterion of P<.05. Results This 3.5-year, proof-of-principle trial will establish the e-infrastructure for a pan-Canadian e-platform for CHF that is comprised of a standardized, evidence-based protocol of e-Counseling. Conclusions CHF-CePPORT is designed to improve long-term adherence to self-care behaviors and quality of life among patients with CHF. It will demonstrate a distinct Canadian initiative to build capacity for preventive eHealth services for patients with CHF. Trial Registration ClinicalTrials.gov NCT01864369; http://clinicaltrials.gov/ct2/show/NCT01864369 (Archived by WebCite at http://www.webcitation.org/6Iiv6so7E).
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Affiliation(s)
- Robert P Nolan
- Behavioral Cardiology Research Unit, University Health Network, Toronto, ON, Canada.
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Bitton A, Choudhry NK, Matlin OS, Swanton K, Shrank WH. The impact of medication adherence on coronary artery disease costs and outcomes: a systematic review. Am J Med 2013; 126:357.e7-357.e27. [PMID: 23507208 DOI: 10.1016/j.amjmed.2012.09.004] [Citation(s) in RCA: 150] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2012] [Revised: 08/31/2012] [Accepted: 09/04/2012] [Indexed: 11/29/2022]
Abstract
BACKGROUND Given the huge burden of coronary artery disease and the effectiveness of medication therapy, understanding and quantifying known impacts of poor medication adherence for primary and secondary prevention is crucial. We sought to systematically review the literature on this topic area with a focus on quantified cost and clinical outcomes related to adherence. METHODS We conducted a systematic review of the literature between 1966 and November 2011 using a fixed search strategy, multiple reviewers, and a quality rating scale. We found 2636 articles using this strategy, eventually weaning them down to 25 studies that met our inclusion criteria. Three reviewers independently reviewed the studies and scored them for quality using the Newcastle Ottawa Scoring Scale. RESULTS We found 5 studies (4 of which focused on statins) that measured the impact of medication adherence on primary prevention of coronary artery disease and 20 articles that focused on the relationship between medication adherence to costs and outcomes related to secondary prevention of coronary artery disease. Most of these latter studies focused on antihypertensive medications and aspirin. All controlled for confounding comorbidities and sociodemographic characteristics, but few controlled for likelihood of adherent patients to have healthier behaviors ("healthy adherer effect"). Three studies found that high adherence significantly improves health outcomes and reduces annual costs for secondary prevention of coronary artery disease (between $294 and $868 per patient, equating to 10.1%-17.8% cost reductions between high- and low-adherence groups). The studies were all of generally of high quality on the Newcastle Ottawa Scale (median score 8 of 9). CONCLUSIONS Increased medication adherence is associated with improved outcomes and reduced costs, but most studies do not control for a "healthy adherer" effect.
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Affiliation(s)
- Asaf Bitton
- Division of General Medicine, Brigham and Women's Hospital, Boston, MA 02120, USA.
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Allonen J, Nieminen MS, Lokki M, Parkkonen O, Vaara S, Perola M, Hiekkalinna T, Strandberg TE, Sinisalo J. Mortality rate increases steeply with nonadherence to statin therapy in patients with acute coronary syndrome. Clin Cardiol 2012; 35:E22-7. [PMID: 22961648 DOI: 10.1002/clc.22056] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2012] [Accepted: 08/11/2012] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND In a prospective cohort of consecutive acute coronary syndrome (ACS) patients, we compared the adherence rate of statin usage and mortality rate during a median follow-up of 23 months. HYPOTHESIS Adherence to statin therapy after acute coronary syndrome affects mortality rate. METHODS We analyzed ACS patients (N = 1969; age, 65.9 ± 11.8 years; female 30.4%) who underwent angiography between March 2006 and March 2008. The postdischarge usage of statins was based on the purchase register of the Social Insurance Institution of Finland. The death rate was verified from Statistics Finland. RESULTS At discharge, the rate of statin prescription to patients was 95.4% (n = 1878). When comparing adherent patients (n = 1200; 61.7%), who purchased the medication systematically until the end of the median 23-month follow-up, with nonadherent patients (n = 94; 4.8%), who did not use the medication at all, there was a vast difference in absolute death rate between the groups: 4.9% vs 14.9%, respectively (P < 0.001). We conducted Cox proportional hazards model with ACS type, cerebrovascular attack, diabetes, age, 3-artery disease, and cancer as adjusted confounders. Compared with regular statin users, nonusers were associated with a >2× increased hazard ratio of mortality (hazard ratio: 2.70, 95% confidence interval: 1.49-4.90, P = 0.001). CONCLUSIONS Statin medication is essential for discharged ACS patients. They should be strongly encouraged to purchase and use it.
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Affiliation(s)
- Jaakko Allonen
- Department of Medicine, Division of Cardiology, Helsinki University Central Hospital, Finland
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Blom DJ. Statins: adherence and side-effects. S Afr Fam Pract (2004) 2011. [DOI: 10.1080/20786204.2011.10874087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Affiliation(s)
- DJ Blom
- Division of Lipidology, Department of Medicine, University of Cape Town
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Kamat SA, Bullano MF, Chang CL, Gandhi SK, Cziraky MJ. Adherence to single-pill combination versus multiple-pill combination lipid-modifying therapy among patients with mixed dyslipidemia in a managed care population. Curr Med Res Opin 2011; 27:961-8. [PMID: 21381893 DOI: 10.1185/03007995.2011.562494] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Suboptimal adherence to lipid-lowering therapies is associated with and potentially contributes to increased cardiovascular morbidity and mortality. Single-pill combination (SPC) lipid-modifying therapies may improve patient adherence due to decreased pill burden and increased convenience for the patient. OBJECTIVE To compare adherence to SPC versus multi-pill combination (MPC) lipid-modifying medications. METHODS This retrospective study used pharmacy and medical claims and laboratory result data from a national managed care dataset to evaluate patients who were newly prescribed simvastatin plus ezetimibe, simvastatin plus niacin, and lovastatin plus niacin either as SPC or MPC. Patients were considered adherent to therapy if they had a proportion of days covered (PDC) ≥ 0.80. RESULTS The mean PDC was 0.76 and 0.70 in the first 3 months of therapy, 0.54 and 0.45 in the second 3 months, and 0.50 and 0.41 for the remaining 30 months of follow-up for the SPC and MPC groups, respectively. SPC patients were 32% (OR = 1.32; 95% CI: 1.27-1.36; P < 0.01) more likely to be adherent to treatment than MPC patients. CONCLUSION Adherence was significantly higher among patients receiving SPC than MPC. Although only associations and not temporality were assessed due to the observational design of this study, the use of SPC may be a successful method for improving adherence in a real-world setting.
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Poluzzi E, Piccinni C, Carta P, Puccini A, Lanzoni M, Motola D, Vaccheri A, De Ponti F, Montanaro N. Cardiovascular events in statin recipients: impact of adherence to treatment in a 3-year record linkage study. Eur J Clin Pharmacol 2011; 67:407-414. [PMID: 21152908 DOI: 10.1007/s00228-010-0958-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2010] [Accepted: 11/16/2010] [Indexed: 12/17/2022]
Abstract
PURPOSE In the general population, lack of adherence to statin therapy remains a widespread phenomenon and an important matter of concern both in terms of cost-effectiveness and risk-benefit profile. This study aimed to evaluate the occurrence of cardiovascular events in Italian statin recipients, focussing on the relationship between degree of adherence to therapy and occurrence of events in a 3-year follow-up. METHODS Our cohort consisted of all patients from Emilia Romagna (4,027,275 inhabitants) who received statin prescriptions in January-February 2005 and who were followed for up to 36 months for cardiovascular hospital admission (i.e. coronary disease, cerebrovascular accidents, peripheral arthropathy), adherence to statin treatment (proportion of days covered: ≥ 80%) and use of other cardiovascular drugs. The relationship between adherence and cardiovascular events was analysed by multivariate logistic regression; age, sex, other cardiovascular drugs and previous events were covariates of the model. RESULTS Patients non-adherent to a statin regimen over the 3-year period (76% of the cohort) had higher odds of events, irrespective of risk factors, by more than 40% when compared with adherent patients. Odds of events were in particular: strongly non-adherent, adjOR=1.19 (CI95% 1.15-1.23), slightly non-adherent, adjOR =1.25 (1.21-1.30), highly variable in the amount of statins received, adjOR=1.69 (1.62-1.77). CONCLUSIONS This study shows the key role of adherence to statins in cardiovascular prevention at any level of risk. Appropriateness of statin use needs not only careful selection of patients to be treated, but also cooperation between patient and physician to ensure continued drug use whenever treatment is appropriate.
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Affiliation(s)
- Elisabetta Poluzzi
- Department of Pharmacology, University of Bologna, Via Irnerio 48, 40126, Bologna, Italy
| | - Carlo Piccinni
- Department of Pharmacology, University of Bologna, Via Irnerio 48, 40126, Bologna, Italy
| | - Paolo Carta
- Department of Pharmacology, University of Bologna, Via Irnerio 48, 40126, Bologna, Italy
| | - Aurora Puccini
- Drug Policy Service, Emilia-Romagna Regional Health Authority, Viale Aldo Moro 21, 40127, Bologna, Italy
| | - Monica Lanzoni
- Drug Policy Service, Emilia-Romagna Regional Health Authority, Viale Aldo Moro 21, 40127, Bologna, Italy
| | - Domenico Motola
- Department of Pharmacology, University of Bologna, Via Irnerio 48, 40126, Bologna, Italy
| | - Alberto Vaccheri
- Department of Pharmacology, University of Bologna, Via Irnerio 48, 40126, Bologna, Italy
| | - Fabrizio De Ponti
- Department of Pharmacology, University of Bologna, Via Irnerio 48, 40126, Bologna, Italy
| | - Nicola Montanaro
- Department of Pharmacology, University of Bologna, Via Irnerio 48, 40126, Bologna, Italy.
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Abstract
The treatment of chronic illnesses commonly includes the long-term use of pharmacotherapy. Although these medications are effective in combating disease, their full benefits are often not realized because approximately 50% of patients do not take their medications as prescribed. Factors contributing to poor medication adherence are myriad and include those that are related to patients (eg, suboptimal health literacy and lack of involvement in the treatment decision-making process), those that are related to physicians (eg, prescription of complex drug regimens, communication barriers, ineffective communication of information about adverse effects, and provision of care by multiple physicians), and those that are related to health care systems (eg, office visit time limitations, limited access to care, and lack of health information technology). Because barriers to medication adherence are complex and varied, solutions to improve adherence must be multifactorial. To assess general aspects of medication adherence using cardiovascular disease as an example, a MEDLINE-based literature search (January 1, 1990, through March 31, 2010) was conducted using the following search terms: cardiovascular disease, health literacy, medication adherence, and pharmacotherapy. Manual sorting of the 405 retrieved articles to exclude those that did not address cardiovascular disease, medication adherence, or health literacy in the abstract yielded 127 articles for review. Additional references were obtained from citations within the retrieved articles. This review surveys the findings of the identified articles and presents various strategies and resources for improving medication adherence.
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Affiliation(s)
- Marie T Brown
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.
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Lee TA, Chang CL, Stephenson JJ, Sajjan SG, Maiese EM, Everett S, Allen-Ramey F. Impact of asthma controller medications on medical and economic resource utilization in adult asthma patients. Curr Med Res Opin 2010; 26:2851-60. [PMID: 21070096 DOI: 10.1185/03007995.2010.531255] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To compare asthma-related resource utilization, adherence and costs among adults prescribed asthma controller regimens. RESEARCH DESIGN AND METHODS Medical and pharmacy claims from a US managed-care claims database were used to identify adults (18-56 years) initiating asthma controller therapy. Patients had 2 years continuous enrollment and ≥ 1 medical claims for asthma (ICD9: 493.xx) (January 2004 - March 2009). Asthma exacerbations, short-acting β-agonist (SABA) fills, adherence (MPR ≥ 0.80) and asthma-related costs were assessed for 1 year after the initial asthma controller medication claim. Separate logistic and negative binomial regression models for monotherapy and combination therapy were developed to examine the impact of controller therapy on outcomes. RESULTS A total of 28 074 patients [inhaled corticosteroids (ICS) (26.3%), leukotriene modifiers (LM) (23.2%), ICS + long acting β-agonist (LABA) (48.5%), ICS + LM (2%)] were included. LM patients had lower odds of ≥ 6 SABA fills (OR(adj) = 0.83, 95% CI: 0.73-0.96) and lower rates of asthma exacerbations (RR(adj) = 0.82, 0.75-0.89) vs. ICS patients. Odds of ≥ 6 SABA fills were similar for ICS + LM vs. ICS + LABA (OR(adj) = 1.3, 0.96-1.76); the rate of asthma exacerbations was greater for ICS + LM compared with ICS + LABA (OR(adj) = 1.4, 1.2-1.6). The proportion adherent was greatest for LM (14.9%) and ICS + LABA (4.1%). LM patients had higher unadjusted pharmacy costs, but lower medical costs compared to ICS patients. For combination therapy, ICS + LM had higher unadjusted mean medical and pharmacy costs vs. ICS + LABA. Higher adjusted mean total costs in the post-index period were observed for LM vs. ICS patients ($837 vs. 684) and for ICS + LM vs. ICS + LABA patients ($1223 vs. 873). CONCLUSIONS LM monotherapy was associated with lower medical costs but higher total costs resulting from greater treatment adherence. Conversely, higher costs for ICS + LM resulted from greater exacerbations compared to ICS + LABA despite similar adherence. Higher total costs with LM were due to drug costs. Precise utilization of the medications filled by patients could not be determined.
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Affiliation(s)
- Todd A Lee
- Hines VA Hospital, University of Illinois at Chicago, Chicago, IL, USA.
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Eussen SRBM, de Jong N, Rompelberg CJM, Garssen J, Verschuren WMM, Klungel OH. Effects of the use of phytosterol/-stanol-enriched margarines on adherence to statin therapy. Pharmacoepidemiol Drug Saf 2010; 19:1225-32. [DOI: 10.1002/pds.2042] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2010] [Revised: 06/24/2010] [Accepted: 08/04/2010] [Indexed: 12/26/2022]
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