Should health insurers target prevention of cardiovascular disease? A cost-effectiveness analysis of an individualised programme in Germany based on routine data

Cost-effectiveness of a stepwise cardiometabolic disease prevention program: results of a randomized controlled trial in primary care

BACKGROUND

Cardiometabolic diseases (CMD) are the major cause of death worldwide and are associated with a lower quality of life and high healthcare costs. To prevent a further rise in CMD and related healthcare costs, early detection and adequate management of individuals at risk could be an effective preventive strategy. The objective of this study was to determine long-term cost-effectiveness of stepwise CMD risk assessment followed by individualized treatment if indicated compared to care as usual. A computer-based simulation model was used to project long-term health benefits and cost-effectiveness, assuming the prevention program was implemented in Dutch primary care.

METHODS

A randomized controlled trial in a primary care setting in which 1934 participants aged 45-70 years without recorded CMD or CMD risk factors participated. The intervention group was invited for stepwise CMD risk assessment through a risk score (step 1), additional risk assessment at the practice in case of increased risk (step 2) and individualized follow-up treatment if indicated (step 3). The control group was not invited for risk assessment, but completed a health questionnaire. Results of the effectiveness analysis on systolic blood pressure (- 2.26 mmHg; 95% CI - 4.01: - 0.51) and total cholesterol (- 0.15 mmol/l; 95% CI - 0.23: - 0.07) were used in this analysis. Outcome measures were the costs and benefits after 1-year follow-up and long-term (60 years) cost-effectiveness of stepwise CMD risk assessment compared to no assessment. A computer-based simulation model was used that included data on disability weights associated with age and disease outcomes related to CMD. Analyses were performed taking a healthcare perspective.

RESULTS

After 1 year, the average costs in the intervention group were 260 Euro higher than in the control group and differences were mainly driven by healthcare costs. No meaningful change was found in EQ 5D-based quality of life between the intervention and control groups after 1-year follow-up (- 0.0154; 95% CI - 0.029: 0.004). After 60 years, cumulative costs of the intervention were 41.4 million Euro and 135 quality-adjusted life years (QALY) were gained. Despite improvements in blood pressure and cholesterol, the intervention was not cost-effective (ICER of 306,000 Euro/QALY after 60 years). Scenario analyses did not allow for a change in conclusions with regard to cost-effectiveness of the intervention.

CONCLUSIONS

Implementation of this primary care-based CMD prevention program is not cost-effective in the long term. Implementation of this program in primary care cannot be recommended.

TRIAL REGISTRATION

Dutch Trial Register NTR4277 , registered on 26 November 2013.

A novel personalized approach to cardiovascular prevention: The VIVOPTIM programme

BACKGROUND

Cardiovascular diseases are a leading cause of mortality, but a substantial proportion are preventable.

AIMS

The Mutuelle générale de l'éducation nationale (MGEN), a provider of private health insurance in France, has developed the VIVOPTIM programme, a novel digital approach to healthcare based on individualized, multiprofessional, ranked management of cardiovascular risk factors.

METHODS

Between November 2015 and June 2016, eligible individuals (age 30-70 years) from two regions of France were invited to participate. Volunteers completed a questionnaire based on the Framingham Heart Study Risk Score and were assigned to one of three cardiovascular risk levels. VIVOPTIM comprises four components: cardiovascular risk assessment, instruction on cardiovascular diseases and associated risk factors, personalized coaching (telephone sessions with a specially trained healthcare professional to provide information on risk factors and disease management, set individual health targets, monitor progress and motivate participants), and e-Health monitoring.

RESULTS

Data from 2240 participants were analysed. Significant benefits were observed on mean systolic blood pressure (-3.4mmHg), weight (-1.5kg), smoking (-2.2 cigarettes/day) and daily steps (+1726 steps/day (all P<0.0001)), though not on weekly duration of exercise (-0.2hours/week, P=0.619).

CONCLUSION

As a result of the positive mid-to-long-term results of the pilot programme on weight, smoking, blood pressure, and uptake of physical activity, the VIVOPTIM programme was extend to the whole of France in 2018 and has the potential to have a genuine impact on patient care and organization of the healthcare system in France.

A Systematic Review of Methods Used for Confounding Adjustment in Observational Economic Evaluations in Cardiology Conducted between 2013 and 2017

Background. Observational economic evaluations (i.e., economic evaluations in which treatment allocation is not randomized) are prone to confounding bias. Prior reviews published in 2013 have shown that adjusting for confounding is poorly done, if done at all. Although these reviews raised awareness on the issues, it is unclear if their results improved the methodological quality of future work. We therefore aimed to investigate whether and how confounding was accounted for in recently published observational economic evaluations in the field of cardiology. Methods. We performed a systematic review of PubMed, Embase, Cochrane Library, Web of Science, and PsycInfo databases using a set of Medical Subject Headings and keywords covering topics in "observational economic evaluations in health within humans" and "cardiovascular diseases." Any study published in either English or French between January 1, 2013, and December 31, 2017, addressing our search criteria was eligible for inclusion in our review. Our protocol was registered with PROSPERO (CRD42018112391). Results. Forty-two (0.6%) out of 7523 unique citations met our inclusion criteria. Fewer than half of the selected studies adjusted for confounding (n = 19 [45.2%]). Of those that adjusted for confounding, propensity score matching (n = 8 [42.1%]) and other matching-based approaches were favored (n = 8 [42.1%]). Our results also highlighted that most authors who adjusted for confounding rarely justified their methodological choices. Conclusion. Our results indicate that adjustment for confounding is often ignored when conducting an observational economic evaluation. Continued knowledge translation efforts aimed at improving researchers' knowledge regarding confounding bias and methods aimed at addressing this issue are required and should be supported by journal editors.

Analysing health data sources to inform chronic disease management decisions of health insurers: A mixed methods study

Background and Objective: Both health care providers and payers recognize the need to improve chronic disease care. Chronic disease management relies on high-quality health information for people with, and at risk of developing, chronic diseases. This article focuses on the health insurance sector and investigates ways that payment claims data and other data sources can provide useful information to support chronic disease management interventions. Methods and Results: In this mixed methods study, we first examine methods of selecting target populations from insurance claims data for common chronic conditions-diabetes, cardiovascular disease, and mental health disorders. The analysis of claims data reveals data quality issues and indicates that other data sources should be considered to provide additional information. We undertake a qualitative review of factors influencing the development of information systems for chronic disease management that use multiple data sources. Conclusions: Claims data should be supplemented with other data to inform chronic disease management. The article proposes a conceptual framework with four domains that need to be considered when developing chronic disease information systems using multiple data sources-information requirements, data sources, data collection, and information systems integration. There are policy and organizational factors that influence framework implementation.

A systematic review of economic evaluations of screening programmes for cardiometabolic diseases

Background

The early detection and adequate management of cardiometabolic diseases (CMD) is becoming a priority to prevent future health problems and related healthcare costs.

Aim

This study systematically reviewed the economic evaluations of screening programmes for the early detection of persons at risk for CMD.

Methods

A systematic review was conducted using MEDLINE, Web of Science, NHSEED and the CEA registry to identify relevant articles published between 1 January 2005 and 1 May 2015. Two reviewers independently selected articles, systematically extracted data and critically appraised the study quality using the Extended Consensus on Health Economic Criteria (CHEC) List.

Results

From the initial 2820 studies identified, 17 were included. Six studies assessed whether screening would be cost-effective, seven aimed to determine the most efficient screening programme and four assessed the cost-effectiveness of existing programmes. There were 11 cost-utility analyses using quality-adjusted life years (QALYs) or disability-adjusted life years. Decision-analytic modelling (e.g. Markov model) was most frequently used (n = 10), followed by simulation models (n = 4), observational (n = 2) and trial-based (n = 1) studies. All studies assessing the cost per QALY gained of screening for cardiovascular diseases and diabetes mellitus (n = 8) were below a threshold of £30 000, while those assessing chronic kidney diseases (n = 2) were above the threshold. Conclusions: In view of the heterogeneity in study objectives, country setting, screening programmes, comparators, methodology and outcomes, it is not possible to make clear recommendations about the economic value of screening programmes for CMD. Developing further screening programmes and conducting thorough economic analysis, including usual care, is needed.

Cardiovascular Ultrasound Combined With Non-invasive Screening for the Detection of Undiagnosed Cardiovascular Disease: A Literature Review

Non-invasive screenings have been widely utilized in the United States and worldwide to provide early identification of cardiovascular disease, allowing for earlier diagnosis and treatment. Screening sonography detects valve disease, cardiac dysfunction, and carotid disease in 5% to 20% of the population. This review discusses the current data regarding cardiovascular screening, the methodologies, and the resources required for performance of screenings. Cardiac and carotid sonography is highly accurate and discovers cardiovascular diseases that impact quality of life and risk of future events. Screenings are performed in a variety of settings and accuracy depends on the quality of personnel performing the non-invasive testing, the equipment utilized, and the personnel interpreting the studies. Despite the potential benefit for disease detection, population screening to detect cardiovascular disease is not widely supported by national organizations due to the theoretical cost of further testing and lack of cost versus benefit data. Additional studies are necessary to compare costs and benefits of non-invasive cardiovascular screening in the community setting.

Health economic evaluations based on routine data in Germany: a systematic review

Background

Improved data access and funding for health services research have promoted the application of routine data to measure costs and effects of interventions within the German health care system. Following the trend towards real world evidence, this review aims to evaluate the status and quality of health economic evaluations based on routine data in Germany.

Methods

To identify relevant economic evaluations, a systematic literature search in the databases PubMed and EMBASE was complemented by a manual search. The included studies had to be full economic evaluations using German routine data to measure either costs, effects, or both. Study characteristics were assessed with a structured template. Additionally, the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) were used to measure quality of reporting.

Results

In total, 912 records were identified and 35 studies were included in the further analysis. The majority of these studies was published in the past 5 years (n = 27, 77.1%) and used insurance claims data as a source of routine data (n = 30, 85.7%). The most common method used for handling selection bias was propensity score matching. With regard to the reporting quality, 42.9% (n = 15) of the studies satisfied at least 80% of the criteria on the CHEERS checklist.

Conclusions

This review confirms that routine data has become an increasingly common data source for health economic evaluations in Germany. While most studies addressed the application of routine data, this analysis reveals deficits in considering methodological particularities and in reporting quality of economic evaluations based on routine data. Nevertheless, this review demonstrates the overall potential of routine data for economic evaluations.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3080-3) contains supplementary material, which is available to authorized users.

Examining the high users of hospital resources: implications of a profile developed from Australian health insurance claims data

Objective To develop and examine a profile of the demographic, hospital admission and clinical characteristics of high users of hospital resources within a cohort of privately insured Australians. Methods Hospital admissions claims data from a group of private health insurance funds were analysed. The top 1% of hospital users were selected based on three measures of resource utilisation: number of admissions, total bed days and total insurance benefits paid. The demographic, hospital admission and clinical characteristics data were compared for these three measures of resource utilisation. Results Compared with the general insured population, the three high-use cohorts are older, have more public hospital admissions and have more same-day admissions. The three high-use cohorts have the same top five principal diagnosis categories. These five categories account for more than two-thirds of admissions. The top 1% of users is responsible for a large proportion of total resource utilisation, accounting for 13% of total costs and 21% of total bed days. Conclusions The highest users of hospital resources have a distinct profile, accounting for a large proportion of total resource utilisation for a narrow range of health conditions. The age and hospital admission profile of this group suggest both policy and service considerations for the targeting of interventions to support this high-needs group. What is known about this topic? Statistics are regularly published on the uptake and use of private health insurance in Australia but there is little detailed information on resource utilisation in specific subgroups, particularly those with the highest levels of hospitalisation. What does this paper add? This paper provides a profile of high resource utilisation among a privately insured cohort, describing demographic, hospital admission and clinical characteristics across three measures of resource utilisation. Patterns of use are detailed in this profile, for example the top 1% of users have a higher proportion of public hospital admissions as a private patient. The clinical profile of admissions was similar for the three measures of resource utilisation and there was considerable overlap in the individuals categorised in each high-use group. What are the implications for practitioners? The narrow demographic and clinical profile of the high resource utilisation groups shows a chronic disease burden that is different to the focus of current chronic disease policy measures. The high-use conditions identified in this study are less amenable to preventive measures and new strategies may be required to target this high-needs group.

Are cardiovascular disease risk assessment and management programmes cost effective? A systematic review of the evidence

The World Health Organization recommends that countries implement population-wide cardiovascular disease (CVD) risk assessment and management programmes. The aim of this study was to conduct a systematic review to evaluate whether this recommendation is supported by cost-effectiveness evidence. Published economic evaluations were identified via electronic medical and social science databases (including Medline, Web of Science, and the NHS Economic Evaluation Database) from inception to March 2016. Study quality was evaluated using a modified version of the Consolidated Health Economic Evaluation Reporting Standards. Fourteen economic evaluations were included: five studies based on randomised controlled trials, seven studies based on observational studies and two studies using hypothetical modelling synthesizing secondary data. Trial based studies measured CVD risk factor changes over 1 to 3years, with modelled projections of longer term events. Programmes were either not, or only, cost-effective under non-verified assumptions such as sustained risk factor changes. Most observational and hypothetical studies suggested programmes were likely to be cost-effective; however, study deigns are subject to bias and subsequent empirical evidence has contradicted key assumptions. No studies assessed impacts on inequalities. In conclusion, recommendations for population-wide risk assessment and management programmes lack a robust, real world, evidence basis. Given implementation is resource intensive there is a need for robust economic evaluation, ideally conducted alongside trials, to assess cost effectiveness. Further, the efficiency and equity impact of different delivery models should be investigated, and also the combination of targeted screening with whole population interventions recognising that there multiple approaches to prevention.

Pharmacoeconomics of PCSK9 inhibitors in 103 hypercholesterolemic patients referred for diagnosis and treatment to a cholesterol treatment center

Background

PCSK9 inhibitor therapy has been approved by the FDA as an adjunct to diet-maximal tolerated cholesterol lowering drug therapy for adults with heterozygous familial hypercholesterolemia (HeFH) or clinical atherosclerotic cardiovascular disease (ASCVD) with suboptimal LDL cholesterol (LDLC) lowering despite maximal diet-drug therapy. With an estimated ~24million of US hypercholesterolemic patients potentially eligible for PCSK9 inhibitors, costing ~ $14,300/patient/year, it is important to assess health-care savings arising from PCSK9 inhibitors vs ASCVD cost.

Methods

In 103 patients with HeFH, and/or ASCVD and/or suboptimal LDLC lowering despite maximally tolerated diet-drug therapy, we assessed pharmacoeconomics of PCSK9 inhibitor therapy with lowering of LDLC. For HeFH diagnosis, we applied Simon Broome’s or WHO Dutch Lipid Criteria (score >8). Estimates of direct and indirect costs for ASCVD events were calculated using American Heart Association (AHA), U.S. DHHS, Healthcare Bluebook, and BMC Health Services Research databases. We used the ACC/AHA 10-year ASCVD risk calculator to estimate 10-year ASCVD risk and estimated corresponding direct and indirect costs. Assuming a 50 % reduction in ASCVD events on PCSK9 inhibitors, we calculated direct and indirect health-care savings.

Results

We started 103 patients (58 [56 %] women and 45 [44 %] men), on either alirocumab (62 %) or evolocumab (38 %), median age 63, BMI 29.0, and LDLC 149 mg/dl. Of the 103 patients, 28 had both HeFH and ASCVD, 33 with only ASCVD, 33 with only HeFH, and 9 had neither. Of the 103 patients, 61 had a first ASCVD event at median age 55 and on best tolerated cholesterol-lowering therapy median LDLC was 137 mg/dl. In these 61 patients, total direct costs attributable to ASCVD were $8,904,361 ($4,328,623 direct, $4,575,738 indirect), the median 10-year risk of a new CVD event was calculated to be 13.1 % with total cost $1,654,758. Assuming a 50 % reduction in ASCVD events on PCSK9 inhibitors in our 61 patients, $4,452,180 would have been saved in the past; and future 10-year savings would be $1,123,345.

Conclusion

In the 61 CVD patients, net costs/patient/year were estimated to be $7,000 in the past, with future 10-year intervention net costs/patient/year being $12,459, both below the $50,000/year quality adjusted life-year gained by PCSK9 inhibitor therapy.