Adherence With Statins Over 8 Years in a Usual Care Setting

Objective

: To describe adherence with statin treatment in a usual practice setting and to investigate potential determinants of better adherence.

Study Design

: Retrospective cohort study using administrative claims data.

Methods

: Study patients were 47,680 individuals enrolled in the Central District of Clalit Health Services HMO in Israel who filled at least 1 prescription for statins between January 1, 1999, and December 31, 2006. Data were retrieved on patients’ sex, year of birth and immigration, socioeconomic status, and whether they had diabetes mellitus, hypertension, and other cardiovascular diseases.

Results

: Mean age at the beginning of treatment was 61.3 ± 11.8 years; 53.3% of the study patients were women. The proportion with at least 1 chronic disease before starting statins was 40.1%; and 38.9%, 21.8%, and 9.6% of the patients were continuously adherent after 1, 3, and 6 years, respectively. Risk of discontinuation was highest among new immigrants (hazard ratio [HR] = 1.20; 95% confidence interval [CI] = 1.14, 1.27). Adherence was higher in patients having a chronic disease before starting statins (HR = 0.88; 95% CI = 0.84, 0.94) or after starting statins (HR = 0.90; 95% CI = 0.86, 0.95). Patients age <50 or >79 years had lower adherence rates. Low socioeconomic state did not affect adherence.

Conclusions

: Adherence with statin therapy was poor, though adherence rates were better in patients with accompanying chronic diseases. Of particular concern was the low level of adherence in new immigrants. Intervention programs are needed and should target all patient groups.

(Am J Manag Care. 2008;14(6):388-392)

Adherence with statin therapy in a usual care setting (Israel’s largest HMO) was poor.

The low rate of adherence in new immigrants was of particular concern.

The adherence rates in patients with cardiovascular diseases or with cardiovascular risk factors were higher but were still unacceptably low.

Our results suggest that intervention programs are needed and should target all groups of patients.

The study was conducted in the Central District of Clalit Health Services HMO (the largest HMO in Israel, with more than 50% of Israel&#8217;s population being members). All HMO members over 25 years of age in the central district on January 1, 1998, who were still members and alive on December 31, 2006, and filled at least 1 prescription of statins were included. The overall annual rate of leaving our health plan is less than 1%.¹⁸ Patients who dropped out of our health plan during follow-up were not included in the study cohort.

All community pharmacies in use by the HMO are computerized and report to a central repository. All prescriptions of all brands of statins, which were filled by the study population through HMO-related pharmacies, were documented. This HMO dispenses medications with nominal and almost equal copayments (between $3 and $8 for a monthly dosage), which ensures that all prescriptions were documented.

Determination of Adherence

From the HMO&#8217;s central register of patients with chronic diseases,¹⁹ we retrieved data to determine whether the patients had diabetes mellitus or cardiovascular diseases, and the date of the diagnosis. For each participant we retrieved sociodemographic data from the HMO database, including sex, place of residence, year of birth, country of origin, and year of immigration to Israel. A patient was defined as having low socioeconomic status if he or she had an exemption from paying his monthly National Insurance contribution. Patients with low socioeconomic status have a copayment discount.

A patient was defined as a new immigrant if he or she came to Israel after 1990. We choose the year 1990 as a cutoff point because in this year (as in many of the years in the early 1990s), there was a large wave of immigrants to Israel, especially from the former Soviet Union.

The collection of data for the study was done anonymously and in conformity with all country laws and the Helsinki Declaration.

Statistical Analysis

Table 1

We identified 47,680 patients who met the inclusion criteria. shows the population characteristics at entry. The number of new patients treated with statins every year increased rapidly during the study period from 4576 new patients in 1999 to 8787 in 2005.

Adherence With Statin Treatment

Using the definition of 80% adherence, 61.1% of the patients stopped treatment during the first year. In the years to follow, treatment discontinuation continued. After 3 and 6 years, only 21.8% and 9.6% of the patients, respectively, were still on statins.

Table 2

presents the HRs of treatment discontinuation associated with potential predictors (an HR <1 means better adherence with statins compared with the reference group). The risk of discontinuation was higher in new immigrants who came to Israel after 1990 (HR = 1.20; 95% confidence interval [CI] = 1.14, 1.27) and immigrants from Ethiopia (HR = 1.22; 95% CI = 1.16, 1.29) compared with others. The adherence was higher in patients who had chronic diseases before starting statins (HR = 0.88; 95% CI = 0.84, 0.94), or when chronic disease was diagnosed during the course of treatment for hyperlipidemia (HR = 0.90; 95% CI = 0.86, 0.95).

Patients younger than age 50 or older than 79 had lower adherence rates than the other patients. Place of residence and sex had a statistically significant but a very small effect on adherence rates, while low socioeconomic status did not have any effect on adherence rates.

DISCUSSIONThe current study was of current routine care of community patients. We found that the number of patients beginning statins between 2003 and 2005 increased 32%. although statins clearly have become a cornerstone in the management of cardiovascular risk, both for primary and secondary prevention, the adherence rates are very disappointing. In the vast majority of cases, statins are lifelong medications. To the best of our knowledge, this large-scale, retrospective, longitudinal study is the longest follow-up reported in a routine clinical care setting.^11,13,20 The rate of discontinuation during the first year was very high: 61.1%. This rate is much higher than that previously reported in clinical trials.^21,22 It is much higher than the 26% reported by Caspard et al¹¹ and similar to the 57% reported by Schultz et al¹² in routine care settings.

We were able to identify determinants of adherence to statin therapy. Adherence rates were higher for secondary prevention than for primary prevention. This finding, which was consistent across the entire spectrum of cardiovascular risk factors that we evaluated, is not surprising and is in concordance with previous studies that had shorter follow-up periods.^7,8,12 However, even in this high-risk population, adherence rates were disappointing. We must search for better ways to increase adherence in this group of patients by educational, medical, and administrative interventions.

Sociodemographic characteristics affect adherence. Low income did not predict a lower adherence rate in our patients, possibly because of the relatively low copayment, which is even lower for low-income patients. This low copayment may be unique to the Israeli health system and not generalizable to other health systems. ^7,23 However, we were able to determine other demographic characteristics of patients with low adherence. Low rates of adherence were found in new immigrants, who may have come from cultures with different health beliefs (equivalent to minorities in other studies).^7,23,24 They may have difficulties in the immigration process that influence adherence as well as many other health indicators, and we should focus on this population in this vulnerable period.

There are several strengths to our study. Use of pharmacy claims allows assessment of long-term adherence in a large population. Patients and physicians were unaware that adherence would be assessed; thus, behavior was not altered by adherence measurements, a common flaw of studies based on self-report or pill count. Our ability to link documentation of the onset of chronic diseases, accurate sociodemographic data, and pharmacy claims gave us the opportunity to eliminate possible confounders.

The study has a few limitations. The setting may not be representative of usual care in populations and health systems in other parts of the world. But the very large sample and the confounders entered into the statistical model enable readers to make the needed adaptations. We may have missed clinical correlations when we used pharmacy claims. It may be that therapy was discontinued for clinically appropriate reasons such as adverse drug events or conversion to other therapies, or because LDL-C target levels were reached by weight reduction, change in diet, and exercise. However, statins are very safe, and conversion from statins to nonstatin agents is rare.²⁵ The possibility that medications were stopped because patients achieved target levels of LDL-C deserves further study. There is no way to verify that those who purchased a prescription actually consumed the pills. But this surrogate fits for large epidemiologic studies.

To evaluate adherence, we considered all brands and dosages together. More potent statins or a higher dosage might indicate more severe disease, and better stratification of the cohort might have resulted if these factors had been considered. However, as we are dealt with an extended follow-up period, we presumed that dosage and brand were not constant for the whole period in many patients. We chose, therefore, stratification according to primary versus secondary prevention only.

Our criterion for adherence was 1 year of at least 80% adherence, but patients who experienced breaks in statin treatment because they were out of the country or had an extended hospitalization could have been falsely labeled as discontinuers. However, in our HMO, a patient leaving the country can get 3 months of chronic medications in advance. Also, we presumed that only a small minority of the cohort had hospitalizations longer than 2 months, and only a small number of discontinuations could be explained this way.

Author Affiliations: From the Department of Family Medicine, Tel Aviv University, Tel Aviv Israel (SV, MS); and Clalit Health Services, Rishon LeZion, Israel (SV, MS, TB, AE).

Funding Source: None reported.

Author Disclosure: Dr Vinker had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The authors (SV, MS, TB, AE) report no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this article.

Authorship Information: Concept and design (SV, AE); acquisition of data (SV, TB); analysis and interpretation of data (SV, MS, TB); drafting of the manuscript (SV, MS, TB, AE); critical revision of the manuscript for important intellectual content (MS, AE); statistical analysis (SV, MS, TB); provision of study materials or patients (TB, AE); and administrative, technical, or logistic support (SV, AE).

Address correspondence to: Shlomo Vinker, MD, Department of Family Medicine, Tel Aviv University, POB 14238, Ashdod 77042, Israel. Email: vinker01@zahav.net.il.

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