Quantifying the utility of taking pills for preventing adverse health outcomes: a cross-sectional survey

The implications of competing risks and direct treatment disutility in cardiovascular disease and osteoporotic fracture: risk prediction and cost effectiveness analysis

Background

Clinical guidelines commonly recommend preventative treatments for people above a risk threshold. Therefore, decision-makers must have faith in risk prediction tools and model-based cost-effectiveness analyses for people at different levels of risk. Two problems that arise are inadequate handling of competing risks of death and failing to account for direct treatment disutility (i.e. the hassle of taking treatments). We explored these issues using two case studies: primary prevention of cardiovascular disease using statins and osteoporotic fracture using bisphosphonates.

Objectives

Externally validate three risk prediction tools [QRISK®3, QRISK®-Lifetime, QFracture-2012 (ClinRisk Ltd, Leeds, UK)]; derive and internally validate new risk prediction tools for cardiovascular disease [competing mortality risk model with Charlson Comorbidity Index (CRISK-CCI)] and fracture (CFracture), accounting for competing-cause death; quantify direct treatment disutility for statins and bisphosphonates; and examine the effect of competing risks and direct treatment disutility on the cost-effectiveness of preventative treatments.

Design, participants, main outcome measures, data sources

Discrimination and calibration of risk prediction models (Clinical Practice Research Datalink participants: aged 25-84 years for cardiovascular disease and aged 30-99 years for fractures); direct treatment disutility was elicited in online stated-preference surveys (people with/people without experience of statins/bisphosphonates); costs and quality-adjusted life-years were determined from decision-analytic modelling (updated models used in National Institute for Health and Care Excellence decision-making).

Results

CRISK-CCI has excellent discrimination, similar to that of QRISK3 (Harrell's c = 0.864 vs. 0.865, respectively, for women; and 0.819 vs. 0.834, respectively, for men). CRISK-CCI has systematically better calibration, although both models overpredict in high-risk subgroups. People recommended for treatment (10-year risk of ≥ 10%) are younger when using QRISK-Lifetime than when using QRISK3, and have fewer observed events in a 10-year follow-up (4.0% vs. 11.9%, respectively, for women; and 4.3% vs. 10.8%, respectively, for men). QFracture-2012 underpredicts fractures, owing to under-ascertainment of events in its derivation. However, there is major overprediction among people aged 85-99 years and/or with multiple long-term conditions. CFracture is better calibrated, although it also overpredicts among older people. In a time trade-off exercise (n = 879), statins exhibited direct treatment disutility of 0.034; for bisphosphonates, it was greater, at 0.067. Inconvenience also influenced preferences in best-worst scaling (n = 631). Updated cost-effectiveness analysis generates more quality-adjusted life-years among people with below-average cardiovascular risk and fewer among people with above-average risk. If people experience disutility when taking statins, the cardiovascular risk threshold at which benefits outweigh harms rises with age (≥ 8% 10-year risk at 40 years of age; ≥ 38% 10-year risk at 80 years of age). Assuming that everyone experiences population-average direct treatment disutility with oral bisphosphonates, treatment is net harmful at all levels of risk.

Limitations

Treating data as missing at random is a strong assumption in risk prediction model derivation. Disentangling the effect of statins from secular trends in cardiovascular disease in the previous two decades is challenging. Validating lifetime risk prediction is impossible without using very historical data. Respondents to our stated-preference survey may not be representative of the population. There is no consensus on which direct treatment disutilities should be used for cost-effectiveness analyses. Not all the inputs to the cost-effectiveness models could be updated.

Conclusions

Ignoring competing mortality in risk prediction overestimates the risk of cardiovascular events and fracture, especially among older people and those with multimorbidity. Adjustment for competing risk does not meaningfully alter cost-effectiveness of these preventative interventions, but direct treatment disutility is measurable and has the potential to alter the balance of benefits and harms. We argue that this is best addressed in individual-level shared decision-making.

Study registration

This study is registered as PROSPERO CRD42021249959.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 15/12/22) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 4. See the NIHR Funding and Awards website for further award information.

Quantifying the impact of taking medicines for primary prevention: a time-trade off study to elicit direct treatment disutility in the UK

BACKGROUND

Direct treatment disutility (DTD) represents an individual's disutility associated with the inconvenience of taking medicine over a long period of time.

OBJECTIVES

The main aim of this study was to elicit DTD values for taking a statin or a bisphosphonate for primary prevention. A secondary aim was to understand factors which influence DTD values.

METHODS

Design: We used a cross-sectional study consisting of time-trade off exercises embedded within online surveys. Respondents were asked to compare a one-off pill ('Medicine A') assumed to have no inconvenience and a daily pill ('Medicine B') over 10 years (statins) or 5 years (bisphosphonates).Setting: Individuals from National Health Service (NHS) primary care and the general population were surveyed using an online panel company.Participants: Two types of participants were recruited. First, a purposive sample of patients with experience of taking a statin (n=260) or bisphosphonate (n=100) were recruited from an NHS sampling frame. Patients needed to be aged over 30, have experience of taking the medicine of interest and have no diagnosis of dementia or of using dementia drugs. Second, a demographically balanced sample of members of the public were recruited for statins (n=376) and bisphosphonates (n=359).Primary and secondary outcome measures: Primary outcome was mean DTD. Regression analysis explored factors which could influence DTD values.

RESULTS

A total of 879 respondents were included for analysis (514 for statins and 365 for bisphosphonates). The majority of respondents reported a disutility associated with medicine use. Mean DTD for statins was 0.034 and for bisphosphonates 0.067, respectively. Respondent characteristics including age and sex did not influence DTD. Experience of bisphosphonate-use reduced reported disutilities.

CONCLUSIONS

Statins and bisphosphonates have a quantifiable DTD. The size of estimated disutilities suggest they are likely to be important for cost-effectiveness, particularly in individuals at low-risk when treated for primary prevention.

Effectiveness and Cost-Effectiveness of Team-Based Care for Hypertension: A Meta-Analysis and Simulation Study

BACKGROUND

Team-based care (TBC), a team of ≥2 healthcare professionals working collaboratively toward a shared clinical goal, is a recommended strategy to manage blood pressure (BP). However, the most effective and cost-effective TBC strategy is unknown.

METHODS

A meta-analysis of clinical trials in US adults (aged ≥20 years) with uncontrolled hypertension (≥140/90 mm Hg) was performed to estimate the systolic BP reduction for TBC strategies versus usual care at 12 months. TBC strategies were stratified by the inclusion of a nonphysician team member who could titrate antihypertensive medications. The validated BP Control Model-Cardiovascular Disease Policy Model was used to project the expected BP reductions out to 10 years and simulate cardiovascular disease events, direct healthcare costs, quality-adjusted life years, and cost-effectiveness of TBC with physician and nonphysician titration.

RESULTS

Among 19 studies comprising 5993 participants, the 12-month systolic BP change versus usual care was -5.0 (95% CI, -7.9 to -2.2) mm Hg for TBC with physician titration and -10.5 (-16.2 to -4.8) mm Hg for TBC with nonphysician titration. Relative to usual care at 10 years, TBC with nonphysician titration was estimated to cost $95 (95% uncertainty interval, -$563 to $664) more per patient and gain 0.022 (0.003-0.042) quality-adjusted life years, costing $4400/quality-adjusted life year gained. TBC with physician titration was estimated to cost more and gain fewer quality-adjusted life years than TBC with nonphysician titration.

CONCLUSIONS

TBC with nonphysician titration yields superior hypertension outcomes compared with other strategies and is a cost-effective way to reduce hypertension-related morbidity and mortality in the United States.

Cost Effectiveness of Ambulatory Blood Pressure Monitoring Compared with Home or Clinic Blood Pressure Monitoring for Diagnosing Hypertension in Australia

OBJECTIVES

The aim of this study was to evaluate the cost effectiveness of ambulatory blood pressure monitoring (ABPM) compared with home blood pressure monitoring (HBPM) and clinic blood pressure monitoring (CBPM) in diagnosing hypertension in Australia.

METHODS

A cohort-based Markov model was built from the Payer's perspective (Australian government) comparing lifetime costs and effectiveness of ABPM, HBPM and CBPM in people aged ≥ 35 years with suspected hypertension who have a CBPM between ≥ 140/90 mmHg and ≤ 180/110 mmHg using a sphygmomanometer and have not yet commenced antihypertensive treatment. The main outcome measures were incremental cost-effectiveness ratio (ICER) assessing cost per quality-adjusted life-year (QALY) and life-years (LYs) gained by ABPM versus HBPM and CBPM. Cost was measured in Australian dollars (A$).

RESULTS

Over a lifetime model, ABPM had lower total costs (A$8,491) compared with HBPM (A$9,648) and CBPM (A$10,206) per person. ABPM was associated with a small but significant improvement in the quality and quantity of life for people with suspected hypertension with 12.872 QALYs and 17.449 LYs compared with 12.857 QALYs and 17.433 LYs with HBPM, and 12.850 QALYs and 17.425 LYs with CBPM. In the base-case analysis, ABPM dominated HBPM and CBPM. In scenario analyses, at 100% specificity of HBPM, ABPM no longer remained cost effective at a A$50,000/QALY threshold. However, in probabilistic sensitivity analysis, over 10,000 iterations, ABPM remained dominant.

CONCLUSION

ABPM was the dominant strategy for confirming the diagnosis of hypertension among Australian adults aged ≥ 35 years old with suspected hypertension. The findings of this study are important for reimbursement decision makers to support policy change and for clinicians to make practice changes consistent with ABPM recommendations in primary care.

Beyond Ten-Year Risk: A Cost-Effectiveness Analysis of Statins for the Primary Prevention of Cardiovascular Disease

Cholesterol guidelines typically prioritize primary prevention statin therapy on the basis of 10-year risk of cardiovascular disease. The advent of generic pricing may justify expansion of statin eligibility. Moreover, 10-year risk may not be the optimal approach for statin prioritization. We estimated the cost-effectiveness of expanding preventive statin eligibility and evaluated novel approaches to prioritization from a Scottish health sector perspective.

Cost-effectiveness of Icosapent Ethyl for High-risk Patients With Hypertriglyceridemia Despite Statin Treatment

Importance

The Reduction of Cardiovascular Events With Icosapent Ethyl-Intervention Trial (REDUCE-IT) demonstrated the efficacy of icosapent ethyl (IPE) for high-risk patients with hypertriglyceridemia and known cardiovascular disease or diabetes and at least 1 other risk factor who were treated with statins.

Objective

To estimate the cost-effectiveness of IPE compared with standard care for high-risk patients with hypertriglyceridemia despite statin treatment.

Design, Setting, and Participants

An in-trial cost-effectiveness analysis was performed using patient-level study data from REDUCE-IT, and a lifetime analysis was performed using a microsimulation model and data from published literature. The study included 8179 patients with hypertriglyceridemia despite stable statin therapy recruited between November 21, 2011, and May 31, 2018. Analyses were performed from a US health care sector perspective. Statistical analysis was performed from March 1, 2018, to October 31, 2021.

Interventions

Patients were randomly assigned to IPE, 4 g/d, or placebo and were followed up for a median of 4.9 years (IQR, 3.5-5.3 years). The cost of IPE was $4.16 per day after rebates using SSR Health net cost (SSR cost) and $9.28 per day with wholesale acquisition cost (WAC).

Main Outcomes and Measures

Main outcomes were incremental quality-adjusted life-years (QALYs), total direct health care costs (2019 US dollars), and cost-effectiveness.

Results

A total of 4089 patients (2927 men [71.6%]; median age, 64.0 years [IQR, 57.0-69.0 years]) were randomly assigned to receive IPE, and 4090 patients (2895 men [70.8%]; median age, 64.0 years [IQR, 57.0-69.0 years]) were randomly assigned to receive standard care. Treatment with IPE yielded more QALYs than standard care both in trial (3.34 vs 3.27; mean difference, 0.07 [95% CI, 0.01-0.12]) and over a lifetime projection (10.59 vs 10.35; mean difference, 0.24 [95% CI, 0.15-0.33]). In-trial, total health care costs were higher with IPE using either SSR cost ($18 786) or WAC ($24 544) than with standard care ($17 273; mean difference from SSR cost, $1513 [95% CI, $155-$2870]; mean difference from WAC, $7271 [95% CI, $5911-$8630]). Icosapent ethyl cost $22 311 per QALY gained using SSR cost and $107 218 per QALY gained using WAC. Over a lifetime, IPE was projected to be cost saving when using SSR cost ($195 276) compared with standard care ($197 064; mean difference, -$1788 [95% CI, -$9735 to $6159]) but to have higher costs when using WAC ($202 830) compared with standard care (mean difference, $5766 [95% CI, $1094-$10 438]). Compared with standard care, IPE had a 58.4% lifetime probability of costing less and being more effective when using SSR cost and an 89.4% probability of costing less than $50 000 per QALY gained when using SSR cost and a 72.5% probability of costing less than $50 000 per QALY gained when using WAC.

Conclusions and Relevance

This study suggests that, both in-trial and over the lifetime, IPE offers better cardiovascular outcomes than standard care in REDUCE-IT participants at common willingness-to-pay thresholds.

Cost-effectiveness of Dapagliflozin for Treatment of Patients With Heart Failure With Reduced Ejection Fraction

Importance

In the Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure (DAPA-HF) trial, dapagliflozin was shown to reduce cardiovascular mortality and hospitalizations due to heart failure while improving patient-reported health status. However, the cost-effectiveness of adding dapagliflozin therapy to standard of care (SOC) is unknown.

Objective

To estimate the cost-effectiveness of dapagliflozin therapy among patients with chronic heart failure with reduced ejection fraction (HFrEF).

Design, Setting, and Participants

This Markov cohort cost-effectiveness model used estimates of therapy effectiveness, transition probabilities, and utilities from the DAPA-HF trial and other published literature. Costs were derived from published sources. Patients with HFrEF included subgroups based on diabetes status and health status impairment due to heart failure. We compiled parameters from the literature including DAPA-HF, on which our model is based, and many other sources from December 2019 to February 27, 2021. We performed our analysis in February 2021.

Exposures

Dapagliflozin or SOC.

Main Outcomes and Measures

Hospitalizations for heart failure, life-years, quality-adjusted life-years (QALYs), costs, and the cost per QALY gained (incremental cost-effectiveness ratio).

Results

In the model, dapagliflozin therapy yielded a mean of 0.78 additional life-years and 0.46 additional QALYs compared with SOC at an incremental cost of $38 212, resulting in a cost per QALY gained of $83 650. The cost per QALY was similar for patients with or without diabetes and for patients with mild or moderate impairment of health status due to heart failure. The cost-effectiveness was most sensitive to estimates of the effect on mortality and duration of therapy effectiveness. If the cost of dapagliflozin decreased from $474 to $270 (43% decline), the cost per QALY gained would drop below $50 000.

Conclusions and Relevance

These findings suggest that dapagliflozin provides intermediate value compared with SOC, based on American College of Cardiology/American Heart Association benchmarks. Additional data regarding the magnitude of mortality reduction would improve the precision of cost-effectiveness estimates.

Cost-Effectiveness of Hypertension Treatment by Pharmacists in Black Barbershops

BACKGROUND

In LABBPS (Los Angeles Barbershop Blood Pressure Study), pharmacist-led hypertension care in Los Angeles County Black-owned barbershops significantly improved blood pressure control in non-Hispanic Black men with uncontrolled hypertension at baseline. In this analysis, 10-year health outcomes and health care costs of 1 year of the LABBPS intervention versus control are projected.

METHODS

A discrete event simulation of hypertension care processes projected blood pressure, medication-related adverse events, fatal and nonfatal cardiovascular disease events, and noncardiovascular disease death in LABBPS participants. Program costs, total direct health care costs (2019 US dollars), and quality-adjusted life-years (QALYs) were estimated for the LABBPS intervention and control arms from a health care sector perspective over a 10-year horizon. Future costs and QALYs were discounted 3% annually. High and intermediate cost-effectiveness thresholds were defined as <$50 000 and <$150 000 per QALY gained, respectively.

RESULTS

At 10 years, the intervention was projected to cost an average of $2356 (95% uncertainty interval, -$264 to $4611) more per participant than the control arm and gain 0.06 (95% uncertainty interval, 0.01-0.10) QALYs. The LABBPS intervention was highly cost-effective, with a mean cost of $42 717 per QALY gained (58% probability of being highly and 96% of being at least intermediately cost-effective). Exclusive use of generic drugs improved the cost-effectiveness to $17 162 per QALY gained. The LABBPS intervention would be only intermediately cost-effective if pharmacists were less likely to intensify antihypertensive medications when systolic blood pressure was ≥150 mm Hg or if pharmacist weekly time driving to barbershops increased.

CONCLUSIONS

Hypertension care delivered by clinical pharmacists in Black barbershops is a highly cost-effective way to improve blood pressure control in Black men.

Comparative Cost-Effectiveness of Clinic, Home, or Ambulatory Blood Pressure Measurement for Hypertension Diagnosis in US Adults

Previous cost-effectiveness models found ambulatory blood pressure monitoring (ABPM) to be a favorable strategy to diagnose hypertension; however, they mostly focused on older adults with a positive clinic blood pressure (BP) screen. We evaluated the cost-effectiveness of 3 methods of BP measurement for hypertension diagnosis in primary care settings among 14 age- and sex-stratified hypothetical cohorts (adults ≥21 years of age), accounting for the possibility of both false-positive (white-coat hypertension) and false-negative (masked hypertension) clinic measurements. We compared quality-adjusted life-years and lifetime costs ($US 2017 from the US healthcare perspective) associated with clinic BP measurement, home BP monitoring, and ABPM under 2 scenarios: positive and negative initial screen. Model parameters were obtained from published literature, publicly available data sources, and expert input. In the screen-positive scenario, ABPM was the dominant strategy among all age and sex groups. Compared with clinic BP measurement, ABPM was associated with cost-savings ranging from $77 (women 80 years of age) to $5013 (women 21 years of age). In the screen-negative scenario, ABPM was the dominant strategy in all men and women <80 years of age with cost-savings ranging from $128 (women 70 years of age) to $2794 (women 21 years of age). Sensitivity analyses showed that results were sensitive to test specificity and antihypertensive medication costs. ABPM is recommended as the diagnostic strategy of choice for most adults in primary care settings regardless of initial screening results.

Implications of Coronary Artery Calcium Testing for Treatment Decisions Among Statin Candidates According to the ACC/AHA Cholesterol Management Guidelines: A Cost-Effectiveness Analysis

This review evaluates the cost-effectiveness of using coronary artery calcium (CAC) to guide long-term statin therapy compared with treating all patients eligible for statins according to 2013 American College of Cardiology/American Heart Association cholesterol management guidelines for atherosclerotic cardiovascular disease. The authors used a microsimulation model to compare costs and effectiveness from a societal perspective over a lifetime horizon. Both strategies resulted in similar costs and quality-adjusted life years (QALYs). CAC resulted in increased costs (+$81) and near-equal QALY (+0.01) for an incremental cost-effectiveness ratio of $8,100/QALY compared with the treat-all strategy. For 10,000 patients, the treat-all strategy would theoretically avert 21 atherosclerotic cardiovascular disease events, but would add 47,294 person-years of statins. With CAC costs <$100, and higher cost and/or disutility associated with statin therapy, CAC strategy was favored. These findings suggest the economic value of both approaches were similar. Clinicians should account for individual preferences in context of shared decision making when choosing the most appropriate strategy to guide statin decisions.

Better guidelines for better care: accounting for multimorbidity in clinical guidelines – structured examination of exemplar guidelines and health economic modelling

Background

Multimorbidity is common but most clinical guidelines focus on single diseases.

Aim

To test the feasibility of new approaches to developing single-disease guidelines to better account for multimorbidity.

Design

Literature-based and economic modelling project focused on areas where multimorbidity makes guideline application problematic.

Methods

(1) Examination of accounting for multimorbidity in three exemplar National Institute for Health and Care Excellence guidelines (type 2 diabetes, depression, heart failure); (2) examination of the applicability of evidence in multimorbidity for the exemplar conditions; (3) exploration of methods for comparing absolute benefit of treatment; (4) incorporation of treatment pay-off time and competing risk of death in an exemplar economic model for long-term preventative treatments with slowly accruing benefit; and (5) development of a discrete event simulation model-based cost-effectiveness analysis for people with both depression and coronary heart disease.

Results

(1) Comorbidity was rarely accounted for in the clinical research questions that framed the development of the exemplar guidelines, and was rarely accounted for in treatment recommendations. Drug–disease interactions were common only for comorbid chronic kidney disease, but potentially serious drug–drug interactions between recommended drugs were common and rarely accounted for in guidelines. (2) For all three conditions, the trials underpinning treatment recommendations largely excluded older, more comorbid and more coprescribed patients. The implications of low applicability varied by condition, with type 2 diabetes having large differences in comorbidity, whereas potentially serious drug–drug interactions were more important for depression. (3) Comparing absolute benefit of treatments for different conditions was shown to be technically feasible, but only if guideline developers are willing to make a number of significant assumptions. (4) The lifetime absolute benefit of statins for primary prevention is highly sensitive to the presence of both the direct treatment disutility of taking a daily tablet and competing risk of death. (5) It was feasible to use a discrete event simulation-based model to represent the relevant care pathways to estimate the relative cost-effectiveness of pharmacological treatments of major depressive disorder in primary care for patients who are also likely to go on and receive treatment for coronary heart disease but the analysis was reliant on eliciting some parameter values from experts, which increases the inherent uncertainty in the results. The key limitation was that real-life use in guideline development was not examined.

Conclusions

Guideline developers could feasibly (1) use epidemiological data characterising the guideline population to inform consideration of applicability and interactions; (2) systematically compare the absolute benefit of long-term preventative treatments to inform decision-making in people with multimorbidity and high treatment burden; and (3) modify the output from economic models used in guideline development to examine time to benefit in terms of the pay-off time and varying competing risk of death from other conditions.

Future work

Further research is needed to optimise presentation of comparative absolute benefit information to clinicians and patients, to evaluate the use of epidemiological and time-to-benefit data in guideline development, to better quantify direct treatment disutility and to better quantify benefit and harm in people with multimorbidity.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Do Pills Have No Ills? Capturing the Impact of Direct Treatment Disutility

Model-based economic evaluations should capture the impact on all costs and outcomes relevant to the chosen study perspective and time horizon. This editorial defines what is meant by direct treatment disutility (DTD) and describes why it could be an important harm that those designing model-based evaluations should consider. Some existing estimates of DTD identified from the current literature are summarised in terms of the methods used to elicit the values and the size of the estimated DTD. Model-based studies that include DTDs are also summarised. It was found that the values used within model-based economic evaluations (ranging from 0.00384 to 0.02) were typically smaller than the directly elicited values from the existing literature (0-0.033). Yet even with conservative estimates of DTDs, cost-effectiveness results were sensitive to their inclusion. The editorial concludes by discussing future methodological and empirical research needed to estimate more robust DTD values.