Economic evaluation of a compliance-enhancing intervention in patients with hypercholesterolemia: design and baseline results of the Open Label Primary Care Study: Rosuvastatin Based Compliance Initiatives To Achievements of LDL Goals (ORBITAL) study

Strategies to improve smoking cessation rates in primary care

BACKGROUND

Primary care is an important setting in which to treat tobacco addiction. However, the rates at which providers address smoking cessation and the success of that support vary. Strategies can be implemented to improve and increase the delivery of smoking cessation support (e.g. through provider training), and to increase the amount and breadth of support given to people who smoke (e.g. through additional counseling or tailored printed materials).

OBJECTIVES

To assess the effectiveness of strategies intended to increase the success of smoking cessation interventions in primary care settings. To assess whether any effect that these interventions have on smoking cessation may be due to increased implementation by healthcare providers.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialized Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and trial registries to 10 September 2020.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) and cluster-RCTs (cRCTs) carried out in primary care, including non-pregnant adults. Studies investigated a strategy or strategies to improve the implementation or success of smoking cessation treatment in primary care. These strategies could include interventions designed to increase or enhance the quality of existing support, or smoking cessation interventions offered in addition to standard care (adjunctive interventions). Intervention strategies had to be tested in addition to and in comparison with standard care, or in addition to other active intervention strategies if the effect of an individual strategy could be isolated. Standard care typically incorporates physician-delivered brief behavioral support, and an offer of smoking cessation medication, but differs across studies. Studies had to measure smoking abstinence at six months' follow-up or longer.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Our primary outcome - smoking abstinence - was measured using the most rigorous intention-to-treat definition available. We also extracted outcome data for quit attempts, and the following markers of healthcare provider performance: asking about smoking status; advising on cessation; assessment of participant readiness to quit; assisting with cessation; arranging follow-up for smoking participants. Where more than one study investigated the same strategy or set of strategies, and measured the same outcome, we conducted meta-analyses using Mantel-Haenszel random-effects methods to generate pooled risk ratios (RRs) and 95% confidence intervals (CIs).

MAIN RESULTS

We included 81 RCTs and cRCTs, involving 112,159 participants. Fourteen were rated at low risk of bias, 44 at high risk, and the remainder at unclear risk. We identified moderate-certainty evidence, limited by inconsistency, that the provision of adjunctive counseling by a health professional other than the physician (RR 1.31, 95% CI 1.10 to 1.55; I2 = 44%; 22 studies, 18,150 participants), and provision of cost-free medications (RR 1.36, 95% CI 1.05 to 1.76; I2 = 63%; 10 studies,7560 participants) increased smoking quit rates in primary care. There was also moderate-certainty evidence, limited by risk of bias, that the addition of tailored print materials to standard smoking cessation treatment increased the number of people who had successfully stopped smoking at six months' follow-up or more (RR 1.29, 95% CI 1.04 to 1.59; I2 = 37%; 6 studies, 15,978 participants). There was no clear evidence that providing participants who smoked with biomedical risk feedback increased their likelihood of quitting (RR 1.07, 95% CI 0.81 to 1.41; I2 = 40%; 7 studies, 3491 participants), or that provider smoking cessation training (RR 1.10, 95% CI 0.85 to 1.41; I2 = 66%; 7 studies, 13,685 participants) or provider incentives (RR 1.14, 95% CI 0.97 to 1.34; I2 = 0%; 2 studies, 2454 participants) increased smoking abstinence rates. However, in assessing the former two strategies we judged the evidence to be of low certainty and in assessing the latter strategies it was of very low certainty. We downgraded the evidence due to imprecision, inconsistency and risk of bias across these comparisons. There was some indication that provider training increased the delivery of smoking cessation support, along with the provision of adjunctive counseling and cost-free medications. However, our secondary outcomes were not measured consistently, and in many cases analyses were subject to substantial statistical heterogeneity, imprecision, or both, making it difficult to draw conclusions. Thirty-four studies investigated multicomponent interventions to improve smoking cessation rates. There was substantial variation in the combinations of strategies tested, and the resulting individual study effect estimates, precluding meta-analyses in most cases. Meta-analyses provided some evidence that adjunctive counseling combined with either cost-free medications or provider training enhanced quit rates when compared with standard care alone. However, analyses were limited by small numbers of events, high statistical heterogeneity, and studies at high risk of bias. Analyses looking at the effects of combining provider training with flow sheets to aid physician decision-making, and with outreach facilitation, found no clear evidence that these combinations increased quit rates; however, analyses were limited by imprecision, and there was some indication that these approaches did improve some forms of provider implementation.

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that providing adjunctive counseling by an allied health professional, cost-free smoking cessation medications, and tailored printed materials as part of smoking cessation support in primary care can increase the number of people who achieve smoking cessation. There is no clear evidence that providing participants with biomedical risk feedback, or primary care providers with training or incentives to provide smoking cessation support enhance quit rates. However, we rated this evidence as of low or very low certainty, and so conclusions are likely to change as further evidence becomes available. Most of the studies in this review evaluated smoking cessation interventions that had already been extensively tested in the general population. Further studies should assess strategies designed to optimize the delivery of those interventions already known to be effective within the primary care setting. Such studies should be cluster-randomized to account for the implications of implementation in this particular setting. Due to substantial variation between studies in this review, identifying optimal characteristics of multicomponent interventions to improve the delivery of smoking cessation treatment was challenging. Future research could use component network meta-analysis to investigate this further.

Long-term effect of a low-intensity smoking intervention embedded in an adherence program for patients with hypercholesterolemia: Randomized controlled trial

OBJECTIVE

We evaluated the long-term effect of a smoking intervention embedded in an adherence program in patients with an increased risk for cardiovascular disease.

METHOD

Secondary analysis of a randomized controlled trial: In 2002-2004, 8108 patients with hypercholesterolemia were enrolled from general practices in Germany. Patients received a 12-month adherence program and statin medication (intervention) or statin medication only (control). The program aimed to improve adherence to medication and lifestyle by educational material, mailings, and phone calls. Smoking was self-reported at baseline and every 6months during the 3-year follow-up.

RESULTS

In total, 7640 patients were analyzed. At baseline, smoking prevalence was 21.7% in the intervention and 21.5% in the control group. Prevalence decreased in both groups to 16.6% vs. 19.5%, 15.3% vs. 16.8%, and 14.2% vs. 15.6% at the 12-, 24-, and 36-month follow-up. The intervention had a beneficial effect on smoking differing over time (group×time: P=0.005). The effect was largest after 6 and 12months [odds ratios (95% confidence intervals): 0.67 (0.54-0.82) and 0.63 (0.51-0.78)]. The effect decreased until the 18-month follow-up [0.72 (0.58-0.90)] and was not significant after 24months.

CONCLUSION

A low-intensity smoking intervention embedded in an adherence program can contribute to smoking cessation although the intervention effect diminished over time.

TRIAL REGISTRATION

ClinicalTrials.gov (www.clinicaltrials.gov): NCT00379249.

Longitudinal association between body mass index and health-related quality of life

Objective

Health-related quality of life (HRQoL) is an important outcome in individuals with a high risk for cardiovascular diseases. We investigated the association of HRQoL and body mass index (BMI) as an indicator for obesity.

Design

Secondary longitudinal analysis of the ORBITAL study, an intervention study which included high-risk cardiovascular primary care patients with hypercholesterolemia and an indication for statin therapy.

Methods

HRQoL was determined with the generic Short Form (SF)-12 health status instrument. Body weight and height were assessed at baseline and at months 6, 12, 18, 24, 30, and 36. We used a linear and a linear mixed-effects regression model to investigate the association between BMI and SF-12 summary scores at baseline as well as between change in BMI and SF-12 summary scores over 3 years. We adjusted for age, sex, smoking status, and in the longitudinal analysis also for the study arm and its interaction term with time.

Results

Of the 7640 participants who completed the baseline questionnaire, 6726 participants (mean age: 61 years) were analyzed. The baseline BMI was inversely associated with physical and mental SF-12 summary scores (β [95% CI] per 1 kg/m²: −0.36 [−0.41; −0.30] and −0.05 [−0.11; −0.00], respectively). A significant association between the change in BMI and physical SF-12 summary scores over time was only present in women (−0.18 [−0.27; −0.09]) and only in obese participants (−0.19 [−0.29; −0.10]). A change in BMI was directly associated with mental SF-12 summary scores (0.12 [0.06; 0.19]) in the total population.

Conclusion

Increases in BMI were associated with decreases in physical HRQoL, particularly in obese individuals and in women. In contrast, the mental HRQoL seemed to increase with increasing BMI over time. Thus, body weight management with respect to the HRQoL should be evaluated differentially by sex and body weight status.

Trial Registration

ClinicalTrials.gov NCT00379249

The GALAXY Program: an update on studies investigating efficacy and tolerability of rosuvastatin for reducing cardiovascular risk

The GALAXY Program is a series of clinical studies investigating the efficacy and tolerability of rosuvastatin in line with the hypothesis that the statin with the greatest efficacy for improving the atherogenic lipid profile and beneficially modifying inflammatory markers will also slow progression of atherosclerosis and improve cardiovascular outcomes. Completed studies report that rosuvastatin is more effective than comparator statins in reducing low-density lipoprotein cholesterol, improving the lipid profile and enabling patients to achieve lipid goals, including revised, more stringent goals, even in high-risk patients. Studies have also reported that rosuvastatin can arrest and even regress atherosclerosis. Ongoing outcomes studies will determine whether these beneficial effects of rosuvastatin translate into reduced morbidity and mortality.

Rosuvastatin: a highly potent statin for the prevention and management of coronary artery disease

Since the identification of a fungal metabolite that inhibits HMG-CoA reductase in 1976, statins have emerged rapidly as the global leader in pharmacotherapeutics designed to lower low-density lipoprotein cholesterol (LDL-C). In conjunction, practice guidelines have recommended increasingly aggressive measures to improve coronary heart disease (CHD) outcomes by lowering LDL-C. By virtue of unique chemical characteristics, enhanced binding thermodynamics and limited cytochrome P450 3A4 metabolism, rosuvastatin calcium has a safety profile in line with currently marketed statins, but a different efficacy profile. Mirroring this chemical profile, the GALAXY program represents a comprehensive evaluation of the efficacy, safety and cost-effectiveness of rosuvastatin in individuals representing various clinical diagnoses, pathophysiological states and ethnicities. Also results from the Justification for the Use of statins in Primary prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) study could provide further evidence for the use of rosuvastatin in individuals with traditional and emerging CHD risk factors, such as an elevated high sensitivity C-reactive protein level. This review will provide a comprehensive evaluation of the chemistry, clinical efficacy, safety and tolerability of rosuvastatin, and discuss the future role in the management of CHD and atherosclerosis.

Is patient self-report an adequate tool for monitoring cardiovascular conditions in patients with hypercholesterolemia?

BACKGROUND

To determine the accuracy of patient self-reports of specific cardiovascular diagnoses and to identify individual patient characteristics that influence the accuracy.

METHODS

This investigation was conducted as a part of the randomized controlled ORBITAL study. Patients with hypercholesterolemia were enrolled in 1961 primary-care centers all over Germany. Self-reported questionnaire data of 7640 patients were compared with patients' case report forms (CRFs) and medical records on cardiovascular diseases, using kappa statistics and binomial logit models.

RESULTS

kappa values ranged from 0.89 for diabetes to 0.04 for angina. The percentage of overreporting varied from 1% for diabetes to 17% for angina, whereas the percentage of underreporting varied from 8.0% for myocardial infarction to 57% for heart failure. Individual characteristics such as choice of individual general practitioner, male gender and age were associated with the accuracy of self-report data.

CONCLUSION

Since the agreement between patient self-report and CRFs/medical records varies with specific cardiovascular diagnoses in patients with hypercholesterolemia, the adequacy of this tool seems to be limited. However, the authors recommend additional data validation for certain patient groups and consideration of individual patient characteristics associated with over- and underreporting.

Impact of a compliance program on cholesterol control: results of the randomized ORBITAL study in 8108 patients treated with rosuvastatin

AIM

To determine whether a compliance-enhancing program could increase the level of lipid control in patients treated with rosuvastatin.

METHODS AND RESULTS

A total of 8108 patients (56% men, mean age 59 years; 44% women, mean age 63 years) with low-density lipoprotein cholesterol (LDL-C) >or=115 mg/dl if statin-naive or else >or=125 mg/dl were randomized to rosuvastatin 10 mg daily either with or without a compliance-enhancing program for 12 months. Patients not achieving the goal after 3 months were uptitrated to rosuvastatin 20 mg daily thereafter. At 3, 6, and 12 months, rosuvastatin plus compliance initiatives were similarly effective to rosuvastatin alone in terms of 1998 European LDL-C goal of less than 115 mg/dl achievement (72 vs. 70%, 71 vs. 69%, 68 vs. 68%) and changes in the lipid profile. Significant differences were observed in the subgroup of statin-naive patients at 3 and 6 months (80 vs. 76% and 78 vs. 73%, P<0.01). The frequency of adverse events and relevant changes in laboratory data were consistent with the known safety profile of rosuvastatin.

CONCLUSION

Rosuvastatin 10/20 mg daily enables the majority of patients to achieve LDL-C less than 115 mg/dl within 3 months. The compliance-enhancing program was only effective in statin-naive patients at early time points, but had no overall effect over 12 months.

Productivity loss as a major component of disease-related costs in patients with hypercholesterolemia in Germany

OBJECTIVE

Hypercholesterolemia is a common risk factor for cardiovascular diseases; however, there are only few data available on associated costs. The objective of this study is, therefore, to analyse direct and indirect costs in patients with hypercholesterolemia and to determine predictors of costs.

METHODS

The ORBITAL Study is a randomised controlled trial evaluating the effectiveness of a compliance-enhancing program in patients with statin therapy. Consecutive patients eligible for statin therapy according to the Joint European Guidelines were enrolled nationwide in 1961 primary care practices in Germany. For the present cost-of-illness analysis, patients were asked retrospectively about medical resource use and employment status in the 6 months preceding enrollment. The perspective chosen was societal. Factors associated with costs were determined using linear regression.

RESULTS

A total of 7,640 patients (56% men, mean age 60 +/- 10 years, and 44% women, 64 +/- 10 years) were included. Of these patients, 32% were employed, 17% had a history of myocardial infarction, 7% a history of stroke, 58% had hypertension, and 29% diabetes. Total disease-related costs amounted to a mean of 2,498 +/- 4,898 Euros per patient over 6 months, comprising direct (44%) and indirect (56%) costs. Disease-related early retirement was responsible for 42% of costs, followed by hospital visits (19%), medication (15%), workdays lost (14%), physician visits (5%), outpatient therapy (2%), and rehabilitation (2%). In multivariable analyses, factors associated with direct costs included coronary interventions, risk stratum, and medical history. Factors associated with indirect costs included disease-related early retirement, other socio-economic and lifestyle factors, coronary interventions, risk stratum, and medical history.

CONCLUSION

The considerable economic burden associated with hypercholesterolemia indicates the need to assess long-term cost-effectiveness of health care programs in patients with this disorder.