Randomized Evaluation of a Remote Management Program to Improve Guideline-Directed Medical Therapy: The DRIVE Trial.

BACKGROUND: Several SGLT2i (sodium-glucose transport protein 2 inhibitors) and GLP1-RA (glucagon-like peptide-1 receptor agonists) reduce cardiovascular events and improve kidney outcomes in patients with type 2 diabetes; however, utilization remains low despite guideline recommendations. METHODS: A randomized, remote implementation trial in the Mass General Brigham network enrolled patients with type 2 diabetes with increased cardiovascular or kidney risk. Patients eligible for, but not prescribed, SGLT2i or GLP1-RA were randomly assigned to simultaneous virtual patient education with concurrent prescription of SGLT2i or GLP1-RA (ie, Simultaneous) or 2 months of virtual education followed by medication prescription (ie, Education-First) delivered by a multidisciplinary team driven by nonlicensed navigators and clinical pharmacists who prescribed SGLT2i or GLP1-RA using a standardized treatment algorithm. The primary outcome was the proportion of patients with prescriptions for either SGLT2i or GLP1-RA by 6 months. RESULTS: Between March 2021 and December 2022, 200 patients were randomized. The mean age was 66.5 years; 36.5% were female, and 22.0% were non-White. Overall, 30.0% had cardiovascular disease, 5.0% had cerebrovascular disease, and 1.5% had both. Mean estimated glomerular filtration rate was 77.9 mL/(min‧1.73 m2), and mean urine/albumin creatinine ratio was 88.6 mg/g. After 2 months, 69 of 200 (34.5%) patients received a new prescription for either SGLT2i or GLP1-RA: 53.4% of patients in the Simultaneous arm and 8.3% of patients in the Education-First arm (P<0.001). After 6 months, 128 of 200 (64.0%) received a new prescription: 69.8% of patients in the Simultaneous arm and 56.0% of patients in Education-First (P<0.001). Patient self-report of taking SGLT2i or GLP1-RA within 6 months of trial entry was similarly greater in the Simultaneous versus Education-First arm (69 of 116 [59.5%] versus 37 of 84 [44.0%]; P<0.001) Median time to first prescription was 24 (interquartile range [IQR], 13-50) versus 85 days (IQR, 65-106), respectively (P<0.001). CONCLUSIONS: In this randomized trial, a remote, team-based program identifies patients with type 2 diabetes and high cardiovascular or kidney risk, provides virtual education, prescribes SGLT2i or GLP1-RA, and improves guideline-directed medical therapy. These findings support greater utilization of virtual team-based approaches to optimize chronic disease management. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT06046560.

Prioritizing Quality Measures in Acute Stroke Care : A Cost-Effectiveness Analysis.

BACKGROUND: The American Heart Association and American Stroke Association (AHA/ASA) endorsed 15 process measures for acute ischemic stroke (AIS) to improve the quality of care. Identifying the highest-value measures could reduce the administrative burden of quality measure adoption while retaining much of the value of quality improvement. OBJECTIVE: To prioritize AHA/ASA-endorsed quality measures for AIS on the basis of health impact and cost-effectiveness. DESIGN: Individual-based stroke simulation model. DATA SOURCES: Published literature. TARGET POPULATION: U.S. patients with incident AIS. TIME HORIZON: Lifetime. PERSPECTIVE: Health care sector. INTERVENTION: Current versus complete (100%) implementation at the population level of quality measures endorsed by the AHA/ASA with sufficient clinical evidence (10 of 15). OUTCOME MEASURES: Life-years, quality-adjusted life-years (QALYs), incremental cost-effectiveness ratios, and incremental net health benefits. RESULTS OF BASE-CASE ANALYSIS: Discounted life-years gained from complete implementation would range from 472 (tobacco use counseling) to 34 688 (early carotid imaging) for an annual AIS patient cohort. All AIS quality measures were cost-saving or highly cost-effective by AHA standards (<$50 000 per QALY for high-value care). Early carotid imaging and intravenous tissue plasminogen activator contributed the largest fraction of the total potential value of quality improvement (measured as incremental net health benefit), accounting for 72% of the total value. The top 5 quality measures accounted for 92% of the total potential value. RESULTS OF SENSITIVITY ANALYSIS: A web-based user interface allows for context-specific sensitivity and scenario analyses. LIMITATION: Correlations between quality measures were not incorporated. CONCLUSION: Substantial variation exists in the potential net benefit of quality improvement across AIS quality measures. Benefits were highly concentrated among 5 of 10 measures assessed. Our results can help providers and payers set priorities for quality improvement efforts and value-based payments in AIS care. PRIMARY FUNDING SOURCE: National Institute of Neurological Disorders and Stroke.

Health Impact and Cost-Effectiveness of Achieving the National Salt and Sugar Reduction Initiative Voluntary Sugar Reduction Targets in the United States: A Microsimulation Study.

BACKGROUND: High intake of added sugar is linked to weight gain and cardiometabolic risk. In 2018, the US National Salt and Sugar Reduction Initiative proposed government-supported voluntary national sugar reduction targets. This intervention's potential effects and cost-effectiveness are unclear. METHODS: A validated microsimulation model, CVD-PREDICT (Cardiovascular Disease Policy Model for Risk, Events, Detection, Interventions, Costs, and Trends), coded in C++, was used to estimate incremental changes in type 2 diabetes, cardiovascular disease (CVD), quality-adjusted life-years (QALYs), costs, and cost-effectiveness of the US National Salt and Sugar Reduction Initiative policy. The model was run at the individual level, incorporating the annual probability of each person's transition between health statuses on the basis of risk factors. The model incorporated national demographic and dietary data from the National Health and Nutrition Examination Survey across 3 cycles (2011 through 2016), added sugar-related diseases from meta-analyses, and policy costs and health-related costs from established sources. A simulated nationally representative US population was created and followed until age 100 years or death, with 2019 as the year of intervention start. Findings were evaluated over 10 years and a lifetime from health care and societal perspectives. Uncertainty was evaluated in a 1-way analysis by assuming 50% industry compliance and probabilistic sensitivity analyses through a second-order Monte Carlo approach. Model outputs included averted diabetes cases, CVD events and CVD deaths, QALYs gained, and formal health care cost savings, stratified by age, race, income, and education. RESULTS: Achieving the US National Salt and Sugar Reduction Initiative sugar reduction targets could prevent 2.48 million CVD events, 0.49 million CVD deaths, and 0.75 million diabetes cases; gain 6.67 million QALYs; and save $160.88 billion net costs from a societal perspective over a lifetime. The policy became cost-effective (<150 000/QALYs) at 6 years, highly cost-effective (<50 000/QALYs) at 7 years, and cost-saving at 9 years. Results were robust from a health care perspective, with lower (50%) industry compliance, and in probabilistic sensitivity analyses. The policy could also reduce disparities, with greatest estimated health gains per million adults among Black or Hispanic individuals, lower income, and less educated Americans. CONCLUSIONS: Implementing and achieving the US National Salt and Sugar Reduction Initiative sugar reformation targets could generate substantial health gains, equity gains, and cost savings.

Sacubitril/valsartan vs ACEi/ARB at hospital discharge and 5-year survival in older patients with heart failure with reduced ejection fraction: A decision analysis approach.

BACKGROUND: In clinical trials, sacubitril/valsartan has demonstrated significant survival benefits compared to angiotensin converting enzyme inhibitors or angiotensin receptor blockers (ACEi/ARB). Whether older patients with heart failure with reduced ejection fraction (HFrEF) benefit as much, due to higher rates of comorbidities, frailty and drug discontinuation, is unknown. METHODS AND RESULTS: Using a cohort of Medicare beneficiaries hospitalized with HFrEF between 2016 and 2018, we determined all-cause mortality and HF-readmission rates among patients not given ACEi/ARB or sacubitril/valsartan at hospital discharge, by age. We then used risk reductions from the SOLVD, PARADIGM-HF and PIONEER-HF trials to estimate the benefits of ACEi/ARB and sacubitril/valsartan. We then incorporated age-specific estimates of drug discontinuation from Medicare. A Markov decision process model was used to simulate 5-year survival and estimate number needed to treat, comparing discharge on ACEi/ARB vs sacubitril/valsartan by age. After accounting for drug discontinuation rates, which were surprisingly slightly higher among those discharged on ACEi/ARB (2.3%/month vs 1.9%/month), there was a small but significant survival advantage to discharge on sacubitril/valsartan over 5 years (+0.81 months [95% CI 0.80, 0.81]). The benefit of sacubitril/valsartan over ACEi/ARB did not decrease with increasing age - the number needed to treat among 66 to 74-year-old patients was 84 and among 85+ year-old patients was 67. CONCLUSIONS: Even after accounting for "real world" rates of drug discontinuation, discharge on sacubitril/valsartan after conferred a small, but significant, survival advantage which does not appear to wane with increasing age.

Population health management of low-density lipoprotein cholesterol via a remote, algorithmic, navigator-executed program.

BACKGROUND: Implementation of guideline-directed cholesterol management remains low despite definitive evidence establishing such measures reduce cardiovascular (CV) events, especially in high atherosclerotic CV disease (ASCVD) risk patients. Modern electronic resources now exist that may help improve health care delivery. While electronic medical records (EMR) allow for population health screening, the potential for coupling EMR screening to remotely delivered algorithmic population-based management has been less studied as a way of overcoming barriers to optimal cholesterol management. METHODS: In an academically affiliated healthcare system, using EMR screening, we sought to identify 1,000 high ASCVD risk patients not meeting guideline-directed low-density lipoprotein-cholesterol (LDL-C) goals within specific system-affiliated primary care practices. Contacted patients received cholesterol education and were offered a remote, guideline-directed, algorithmic cholesterol management program executed by trained but non-licensed "navigators" under professional supervision. Navigators used telephone, proprietary software and internet resources to facilitate algorithm-driven, guideline-based medication initiation/titration, and laboratory testing until patients achieved LDL-C goals or exited the program. As a clinical effectiveness program for cholesterol guideline implementation, comparison was made to those contacted patients who declined program-based medication management, and received education only, along with their usual care. RESULTS: 1021 patients falling into guideline-defined high ASCVD risk groups warranting statin therapy (ASCVD, type 2 diabetes, LDL ≥ 190 mg/dL, calculated 10-year ASCVD risk ≥7.5%) and not achieving guideline-defined target LDL-C levels and/or therapy were identified and contacted. Among the 698 such patients who opted for program medication management, significant LDL-C reductions occurred in the total cohort (mean -65.4 mg/dL, 45% decrease), and each high ASCVD risk subgroup: ASCVD (-57.2 mg/dL, -48.0%); diabetes mellitus (-53.1 mg/dL, -40.0%); severe hypercholesterolemia (-76.3 mg/dL, -45.7%); elevated ASCVD 10-year risk (-62.8 mg/dL, -41.1%) (P<0.001 for all), without any significant complications. Among 20% of participants with reported statin intolerance, average LDL-C decreased from baseline 143 mg/dL to 85 mg/dL using mainly statins and ezetimibe, with limited PCSK9 inhibitor use. In comparison, eligible high ASCVD risk patients who were contacted but opted for education only, a 17% LDL-C decrease occurred over a similar timeframe, with 80% remaining with an LDL-C over 100 mg/dL. CONCLUSIONS: A remote, algorithm-driven, navigator-executed cholesterol management program successfully identified high ASCVD risk undertreated patients using EMR screening and was associated with significantly improved guideline-directed LDL-C control, supporting this approach as a novel strategy for improving health care access and delivery.

[The HEARTS app: a clinical tool for cardiovascular risk and hypertension management in primary health careO aplicativo HEARTS: uma ferramenta clínica para o gerenciamento de risco cardiovascular e hipertensão na atenção primária à saúde]. / La aplicación HEARTS: una herramienta clínica para el manejo del riesgo cardiovascular y la hipertensión en la atención primaria de salud.

HEARTS in the Americas is the regional adaptation of the World Health Organization's Global Hearts Initiative, which will be the model for risk management for cardiovascular disease (CVD) in primary health care in the Region of the Americas by 2025. It has already been implemented in 21 countries and 1045 primary health care centers throughout Latin America and the Caribbean. It takes a public health and health systems approach to systematically introduce simplified interventions at the primary health care level and focuses on hypertension as a clinical entry point. This paper introduces a new, improved application (app), the main component of which is the calculator for CVD risk and hypertension management. The paper summarizes the risk assessment approach and the methodology used by the World Health Organization to update its cardiovascular risk charts in 2019; describes the app, its use, functionality and validation process; and provides a set of practical recommendations for optimizing CVD risk and hypertension management by using the app in clinical practice. The HEARTS app is a powerful tool to improve the quality of care provided in primary health settings. The creation and dissemination of the HEARTS app is an essential step in the journey towards eliminating preventable CVD in the Americas.

HEARTS nas Américas é a adaptação regional da Iniciativa Global Hearts da Organização Mundial da Saúde, que será o modelo para o gerenciamento de risco de doenças cardiovasculares (DCV) na atenção primária à saúde na Região das Américas até 2025. Ele já foi implementado em 21 países e 1045 centros de saúde primária em toda a América Latina e Caribe. Adota uma abordagem de saúde pública e sistemas de saúde para introduzir sistematicamente intervenções simplificadas no nível da atenção primária à saúde e concentra-se na hipertensão como um ponto de entrada clínica. Este documento introduz uma nova e melhor aplicação (app), cujo principal componente é a calculadora de risco de DCV e gerenciamento de hipertensão. O artigo resume a abordagem de avaliação de risco e a metodologia usada pela Organização Mundial da Saúde para atualizar seus gráficos de risco cardiovascular em 2019; descreve o aplicativo, seu uso, funcionalidade e processo de validação; e fornece um conjunto de recomendações práticas para otimizar o gerenciamento do risco de DCV e da hipertensão, usando o aplicativo na prática clínica. O aplicativo HEARTS é uma ferramenta potente para melhorar a qualidade dos cuidados prestados em ambientes de saúde primária. A criação e disseminação do aplicativo HEARTS é um passo essencial para eliminar a DCV evitável nas Américas.

The HEARTS app: a clinical tool for cardiovascular risk and hypertension management in primary health care.

HEARTS in the Americas is the regional adaptation of the World Health Organization's Global Hearts Initiative, which will be the model for risk management for cardiovascular disease (CVD) in primary health care in the Region of the Americas by 2025. It has already been implemented in 21 countries and 1045 primary health care centers throughout Latin America and the Caribbean. It takes a public health and health systems approach to systematically introduce simplified interventions at the primary health care level and focuses on hypertension as a clinical entry point. This paper introduces a new, improved application (app), the main component of which is the calculator for CVD risk and hypertension management. The paper summarizes the risk assessment approach and the methodology used by the World Health Organization to update its cardiovascular risk charts in 2019; describes the app, its use, functionality and validation process; and provides a set of practical recommendations for optimizing CVD risk and hypertension management by using the app in clinical practice. The HEARTS app is a powerful tool to improve the quality of care provided in primary health settings. The creation and dissemination of the HEARTS app is an essential step in the journey towards eliminating preventable CVD in the Americas.

HEARTS en las Américas es la adaptación regional de la Iniciativa Global Hearts de la Organización Mundial de la Salud, que será el modelo para el manejo del riesgo de la enfermedad cardiovascular (ECV) en la atención primaria de la salud en la Región de las Américas para el año 2025. Ya se ha implementado en 21 países y 1045 centros de atención primaria de salud en toda América Latina y el Caribe. Adopta un enfoque de salud pública y sistemas de salud para introducir sistemáticamente intervenciones simplificadas en el nivel de atención primaria de salud y se centra en la hipertensión como punto de entrada clínico. En este artículo se presenta una aplicación (app) nueva y mejorada cuyo componente principal es la calculadora de riesgo de ECV y de manejo de la hipertensión. Se resume el enfoque de evaluación del riesgo y la metodología utilizada por la Organización Mundial de la Salud para actualizar sus tablas de riesgo cardiovascular en 2019; se describe la app, su uso, su funcionalidad y su proceso de validación; y se proporciona un conjunto de recomendaciones prácticas para optimizar el manejo del riesgo de ECV y de la hipertensión mediante el uso de la app en la práctica clínica. La app HEARTS es una herramienta robusta para mejorar la calidad de la atención prestada en los centros de atención primaria. La creación y difusión de la aplicación HEARTS es un paso esencial en el camino hacia la eliminación de la ECV prevenible en las Américas.

HEARTS nas Américas é a adaptação regional da Iniciativa Global Hearts da Organização Mundial da Saúde, que será o modelo para o gerenciamento de risco de doenças cardiovasculares (DCV) na atenção primária à saúde na Região das Américas até 2025. Ele já foi implementado em 21 países e 1045 centros de saúde primária em toda a América Latina e Caribe. Adota uma abordagem de saúde pública e sistemas de saúde para introduzir sistematicamente intervenções simplificadas no nível da atenção primária à saúde e concentra-se na hipertensão como um ponto de entrada clínica. Este documento introduz uma nova e melhor aplicação (app), cujo principal componente é a calculadora de risco de DCV e gerenciamento de hipertensão. O artigo resume a abordagem de avaliação de risco e a metodologia usada pela Organização Mundial da Saúde para atualizar seus gráficos de risco cardiovascular em 2019; descreve o aplicativo, seu uso, funcionalidade e processo de validação; e fornece um conjunto de recomendações práticas para otimizar o gerenciamento do risco de DCV e da hipertensão, usando o aplicativo na prática clínica. O aplicativo HEARTS é uma ferramenta potente para melhorar a qualidade dos cuidados prestados em ambientes de saúde primária. A criação e disseminação do aplicativo HEARTS é um passo essencial para eliminar a DCV evitável nas Américas.

Health Impact and Cost-Effectiveness of Volume, Tiered, and Absolute Sugar Content Sugar-Sweetened Beverage Tax Policies in the United States: A Microsimulation Study.

BACKGROUND: Sugar-sweetened beverage taxes are a rapidly growing policy tool and can be based on absolute volume, sugar content tiers, or absolute sugar content. Yet, their comparative health and economic impacts have not been quantified, in particular, tiered or sugar content taxes that provide industry incentives for sugar reduction. METHODS: We estimated incremental changes in diabetes mellitus and cardiovascular disease, quality-adjusted life-years, costs, and cost-effectiveness of 3 sugar-sweetened beverage tax designs in the United States, on the basis of (1) volume ($0.01/oz), (2) tiers (<5 g of added sugar/8 oz: no tax; 5-20 g/8 oz: $0.01/oz; and >20 g/8 oz: $0.02/oz), and (3) absolute sugar content ($0.01 per teaspoon added sugar), each compared with a base case of modest ongoing voluntary industry reformulation. A validated microsimulation model, CVD-PREDICT (Cardiovascular Disease Policy Model for Risk, Events, Detection, Interventions, Costs, and Trends), incorporated national demographic and dietary data from the National Health and Nutrition Examination Survey, policy effects and sugar-sweetened beverage-related diseases from meta-analyses, and industry reformulation and health-related costs from established sources. RESULTS: Over a lifetime, the volume, tiered, and absolute sugar content taxes would generate $80.4 billion, $142 billion, and $41.7 billion in tax revenue, respectively. From a healthcare perspective, the volume tax would prevent 850 000 cardiovascular disease (95% CI, 836 000-864 000) and 269 000 diabetes mellitus (265 000-274 000) cases, gain 2.44 million quality-adjusted life-years (2.40-2.48), and save $53.2 billion net costs (52.3-54.1). Health gains and savings were approximately doubled for the tiered and absolute sugar content taxes. Results were robust for societal and government perspectives, at 10 years follow-up, and with lower (50%) tax pass-through. Health gains were largest in young adults, blacks and Hispanics, and lower-income Americans. CONCLUSIONS: All sugar-sweetened beverage tax designs would generate substantial health gains and savings. Tiered and absolute sugar content taxes should be considered and evaluated for maximal potential gains.

Cost-effectiveness of financial incentives for improving diet and health through Medicare and Medicaid: A microsimulation study.

BACKGROUND: Economic incentives through health insurance may promote healthier behaviors. Little is known about health and economic impacts of incentivizing diet, a leading risk factor for diabetes and cardiovascular disease (CVD), through Medicare and Medicaid. METHODS AND FINDINGS: A validated microsimulation model (CVD-PREDICT) estimated CVD and diabetes cases prevented, quality-adjusted life years (QALYs), health-related costs (formal healthcare, informal healthcare, and lost-productivity costs), and incremental cost-effectiveness ratios (ICERs) of two policy scenarios for adults within Medicare and Medicaid, compared to a base case of no new intervention: (1) 30% subsidy on fruits and vegetables ("F&V incentive") and (2) 30% subsidy on broader healthful foods including F&V, whole grains, nuts/seeds, seafood, and plant oils ("healthy food incentive"). Inputs included national demographic and dietary data from the National Health and Nutrition Examination Survey (NHANES) 2009-2014, policy effects and diet-disease effects from meta-analyses, and policy and health-related costs from established sources. Overall, 82 million adults (35-80 years old) were on Medicare and/or Medicaid. The mean (SD) age was 68.1 (11.4) years, 56.2% were female, and 25.5% were non-whites. Health and cost impacts were simulated over the lifetime of current Medicare and Medicaid participants (average simulated years = 18.3 years). The F&V incentive was estimated to prevent 1.93 million CVD events, gain 4.64 million QALYs, and save $39.7 billion in formal healthcare costs. For the healthy food incentive, corresponding gains were 3.28 million CVD and 0.12 million diabetes cases prevented, 8.40 million QALYs gained, and $100.2 billion in formal healthcare costs saved, respectively. From a healthcare perspective, both scenarios were cost-effective at 5 years and beyond, with lifetime ICERs of $18,184/QALY (F&V incentive) and $13,194/QALY (healthy food incentive). From a societal perspective including informal healthcare costs and lost productivity, respective ICERs were $14,576/QALY and $9,497/QALY. Results were robust in probabilistic sensitivity analyses and a range of one-way sensitivity and subgroup analyses, including by different durations of the intervention (5, 10, and 20 years and lifetime), food subsidy levels (20%, 50%), insurance groups (Medicare, Medicaid, and dual-eligible), and beneficiary characteristics within each insurance group (age, race/ethnicity, education, income, and Supplemental Nutrition Assistant Program [SNAP] status). Simulation studies such as this one provide quantitative estimates of benefits and uncertainty but cannot directly prove health and economic impacts. CONCLUSIONS: Economic incentives for healthier foods through Medicare and Medicaid could generate substantial health gains and be highly cost-effective.

Cardiometabolic disease costs associated with suboptimal diet in the United States: A cost analysis based on a microsimulation model.

BACKGROUND: Poor diet is a leading risk factor for cardiometabolic disease (CMD) in the United States, but its economic costs are unknown. We sought to estimate the cost associated with suboptimal diet in the US. METHODS AND FINDINGS: A validated microsimulation model (Cardiovascular Disease Policy Model for Risk, Events, Detection, Interventions, Costs, and Trends [CVD PREDICT]) was used to estimate annual cardiovascular disease (fatal and nonfatal myocardial infarction, angina, and stroke) and type 2 diabetes costs associated with suboptimal intake of 10 food groups (fruits, vegetables, nuts/seeds, whole grains, unprocessed red meats, processed meats, sugar-sweetened beverages, polyunsaturated fats, seafood omega-3 fats, sodium). A representative US population sample of individuals aged 35-85 years was created using weighted sampling from National Health And Nutrition Examination Surveys (NHANES) 2009-2012 cycles. Estimates were stratified by cost type (acute, chronic, drug), sex, age, race, education, BMI, and health insurance. Annual diet-related CMD costs were $301/person (95% CI $287-$316). This translates to $50.4 billion in CMD costs (18.2% of total) for the whole population, of which 84.3% are attributed to acute care ($42.6 billion). The largest annual per capita costs are attributed to low consumption of nuts/seeds ($81; 95% CI $74-$86) and seafood omega-3 fats ($76; 95% CI $70-$83), and the lowest are attributed to high consumption of red meat ($3; 95% CI $2.8-$3.5) and polyunsaturated fats ($20; 95% CI $19-$22). Individual costs are highest for men ($380), those aged ≥65 years ($408), blacks ($320), the less educated ($392), and those with Medicare ($481) or dual-eligible ($536) insurance coverage. A limitation of our study is that dietary intake data were assessed from 24-hour dietary recall, which may not fully capture a diet over a person's life span and is subject to measurement errors. CONCLUSIONS: Suboptimal diet of 10 dietary factors accounts for 18.2% of all ischemic heart disease, stroke, and type 2 diabetes costs in the US, highlighting that timely implementation of diet policies could address these health and economic burdens.

Cardiovascular, respiratory, and related disorders: key messages from Disease Control Priorities, 3rd edition.

Cardiovascular, respiratory, and related disorders (CVRDs) are the leading causes of adult death worldwide, and substantial inequalities in care of patients with CVRDs exist between countries of high income and countries of low and middle income. Based on current trends, the UN Sustainable Development Goal to reduce premature mortality due to CVRDs by a third by 2030 will be challenging for many countries of low and middle income. We did systematic literature reviews of effectiveness and cost-effectiveness to identify priority interventions. We summarise the key findings and present a costed essential package of interventions to reduce risk of and manage CVRDs. On a population level, we recommend tobacco taxation, bans on trans fats, and compulsory reduction of salt in manufactured food products. We suggest primary health services be strengthened through the establishment of locally endorsed guidelines and ensured availability of essential medications. The policy interventions and health service delivery package we suggest could serve as the cornerstone for the management of CVRDs, and afford substantial financial risk protection for vulnerable households. We estimate that full implementation of the essential package would cost an additional US$21 per person in the average low-income country and $24 in the average lower-middle-income country. The essential package we describe could be a starting place for low-income and middle-income countries developing universal health coverage packages. Interventions could be rolled out as disease burden demands and budgets allow. Our outlined interventions provide a pathway for countries attempting to convert the UN Sustainable Development Goal commitments into tangible action.

Universal health coverage and intersectoral action for health: key messages from Disease Control Priorities, 3rd edition.

The World Bank is publishing nine volumes of Disease Control Priorities, 3rd edition (DCP3) between 2015 and 2018. Volume 9, Improving Health and Reducing Poverty, summarises the main messages from all the volumes and contains cross-cutting analyses. This Review draws on all nine volumes to convey conclusions. The analysis in DCP3 is built around 21 essential packages that were developed in the nine volumes. Each essential package addresses the concerns of a major professional community (eg, child health or surgery) and contains a mix of intersectoral policies and health-sector interventions. 71 intersectoral prevention policies were identified in total, 29 of which are priorities for early introduction. Interventions within the health sector were grouped onto five platforms (population based, community level, health centre, first-level hospital, and referral hospital). DCP3 defines a model concept of essential universal health coverage (EUHC) with 218 interventions that provides a starting point for country-specific analysis of priorities. Assuming steady-state implementation by 2030, EUHC in lower-middle-income countries would reduce premature deaths by an estimated 4·2 million per year. Estimated total costs prove substantial: about 9·1% of (current) gross national income (GNI) in low-income countries and 5·2% of GNI in lower-middle-income countries. Financing provision of continuing intervention against chronic conditions accounts for about half of estimated incremental costs. For lower-middle-income countries, the mortality reduction from implementing the EUHC can only reach about half the mortality reduction in non-communicable diseases called for by the Sustainable Development Goals. Full achievement will require increased investment or sustained intersectoral action, and actions by finance ministries to tax smoking and polluting emissions and to reduce or eliminate (often large) subsidies on fossil fuels appear of central importance. DCP3 is intended to be a model starting point for analyses at the country level, but country-specific cost structures, epidemiological needs, and national priorities will generally lead to definitions of EUHC that differ from country to country and from the model in this Review. DCP3 is particularly relevant as achievement of EUHC relies increasingly on greater domestic finance, with global developmental assistance in health focusing more on global public goods. In addition to assessing effects on mortality, DCP3 looked at outcomes of EUHC not encompassed by the disability-adjusted life-year metric and related cost-effectiveness analyses. The other objectives included financial protection (potentially better provided upstream by keeping people out of the hospital rather than downstream by paying their hospital bills for them), stillbirths averted, palliative care, contraception, and child physical and intellectual growth. The first 1000 days after conception are highly important for child development, but the next 7000 days are likewise important and often neglected.

Modeling the cost effectiveness and budgetary impact of Polypills for secondary prevention of cardiovascular disease in the United States.

BACKGROUND: There is underutilization of appropriate medications for secondary prevention of cardiovascular disease (CVD). METHODS: Usual care (UC) was compared to polypill-based care with 3 versions using a validated micro-simulation model in the NHANES population with prior CVD. UC included individual prescription of up to 4 drug classes (antiplatelet agents, beta-blockers, renin-angiotensin-aldosterone inhibitors and statins). The polypills modeled were aspirin 81 mg, atenolol 50 mg, ramipril 5 mg, and either simvastatin 40 mg (Polypill I), atorvastatin 80 mg (Polypill II), or rosuvastatin 40 mg (Polypill III). Baseline medication use and adherence came from United Healthcare claims data. RESULTS: When compared to UC, there were annual reductions of 130,000 to 178,000 myocardial infarctions and 54,000 to 74,000 strokes using Polypill I and II, respectively. From a health sector perspective, in incremental analysis the ICERs for Polypill I and II were $20,073/QALY and $21,818/QALY respectively; Polypill III was dominated but had a similar cost-effectiveness ratio to Polypill II when compared directly to usual care. From a societal perspective, Polypill II was cost-saving and dominated all strategies. Over a 5-year period, those taking Polypill I and II compared to UC saved approximately $12 and $6 per-patient-per-year alive, respectively. Polypill II was the preferred strategy in 98% of runs at a willingness to pay of $50,000 in the probability sensitivity analysis. CONCLUSIONS: Use of a polypill has a favorable cost profile for secondary CVD prevention in the United States. Reductions in CVD-related healthcare costs outweighed medication cost increases on a per-patient-per-year basis, suggesting that a polypill would be economically advantageous to both patients and payers.

Multimorbidity and care for hypertension, diabetes and HIV among older adults in rural South Africa.

OBJECTIVE: To examine how multimorbidity might affect progression along the continuum of care among older adults with hypertension, diabetes and human immunodeficiency virus (HIV) infection in rural South Africa. METHODS: We analysed data from 4447 people aged 40 years or older who were enrolled in a longitudinal study in Agincourt sub-district. Household-based interviews were completed between November 2014 and November 2015. For hypertension and diabetes (2813 and 512 people, respectively), we defined concordant conditions as other cardiometabolic conditions, and discordant conditions as mental disorders or HIV infection. For HIV infection (1027 people) we defined any other conditions as discordant. Regression models were fitted to assess the relationship between the type of multimorbidity and progression along the care continuum and the likelihood of patients being in each stage of care for the index condition (four stages from testing to treatment). FINDINGS: People with hypertension or diabetes plus other cardiometabolic conditions were more like to progress through the care continuum for the index condition than those without cardiometabolic conditions (relative risk, RR: 1.14, 95% confidence interval, CI: 1.09-1.20, and RR: 2.18, 95% CI: 1.52-3.26, respectively). Having discordant comorbidity was associated with greater progression in care for those with hypertension but not diabetes. Those with HIV infection plus cardiometabolic conditions had less progress in the stages of care compared with those without such conditions (RR: 0.86, 95% CI: 0.80-0.92). CONCLUSION: Patients with concordant conditions were more likely to progress further along the care continuum, while those with discordant multimorbidity tended not to progress beyond diagnosis.

Cost-Effectiveness of a US National Sugar-Sweetened Beverage Tax With a Multistakeholder Approach: Who Pays and Who Benefits.

OBJECTIVES: To estimate the health impact and cost-effectiveness of a national penny-per-ounce sugar-sweetened beverage (SSB) tax, overall and with stratified costs and benefits for 9 distinct stakeholder groups. METHODS: We used a validated microsimulation model (CVD PREDICT) to estimate cardiovascular disease reductions, quality-adjusted life years gained, and cost-effectiveness for US adults aged 35 to 85 years, evaluating full and partial consumer price pass-through. RESULTS: From health care and societal perspectives, the SSB tax was highly cost-saving. When we evaluated health gains, taxes paid, and out-of-pocket health care savings for 6 distinct consumer categories, incremental cost-effectiveness ratios ranged from $20 247 to $42 662 per quality-adjusted life year for 100% price pass-through (incremental cost-effectiveness ratios similar with 50% pass-through). For the beverage industry, net costs were $0.92 billion with 100% pass-through (largely tax-implementation costs) and $49.75 billion with 50% pass-through (largely because of partial industry coverage of the tax). For government, the SSB tax positively affected both tax revenues and health care cost savings. CONCLUSIONS: This stratified analysis improves on unitary approaches, illuminating distinct costs and benefits for stakeholders with political influence over SSB tax decisions.

Cognitive function and cardiometabolic disease risk factors in rural South Africa: baseline evidence from the HAALSI study.

BACKGROUND: Evidence on cognitive function in older South Africans is limited, with few population-based studies. We aimed to estimate baseline associations between cognitive function and cardiometabolic disease risk factors in rural South Africa. METHODS: We use baseline data from "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI), a population-based study of adults aged 40 and above in rural South Africa in 2015. Cognitive function was measured using measures of time orientation, immediate and delayed recall, and numeracy adapted from the Health and Retirement Study cognitive battery (overall total cognitive score range 0-26). We used multiple linear regression to estimate associations between cardiometabolic risk factors (including BMI, hypertension, dyslipidemia, diabetes, history of stroke, alcohol frequency, and smoking status) and the overall cognitive function score, adjusted for potential confounders. RESULTS: In multivariable-adjusted analyses (n = 3018; male = 1520; female = 1498; median age 59 (interquartile range 50-67)), cardiometabolic risk factors associated with lower cognitive function scores included: diabetes (b = - 1.11 [95% confidence interval: - 2.01, - 0.20] for controlled diabetes vs. no diabetes); underweight BMI (b = - 0.87 [CI: - 1.48, - 0.26] vs. normal BMI); and current and past smoking history compared to never smokers. Factors associated with higher cognitive function scores included: obese BMI (b = 0.74 [CI: 0.39, 1.10] vs. normal BMI); and controlled hypertension (b = 0.53 [CI: 0.11, 0.96] vs. normotensive). CONCLUSIONS: We provide an important baseline from rural South Africa on the associations between cardiometabolic disease risk factors and cognitive function in an older, rural South African population using standardized clinical measurements and cut-offs and widely used cognitive assessments. Future studies are needed to clarify temporal associations as well as patterns between the onset and duration of cardiometabolic conditions and cognitive function. As the South African population ages, effective management of cardiometabolic risk factors may be key to lasting cognitive health.

ACC/AHA Special Report: Clinical Practice Guideline Implementation Strategies: A Summary of Systematic Reviews by the NHLBI Implementation Science Work Group: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

BACKGROUND: In 2008, the National Heart, Lung, and Blood Institute convened an Implementation Science Work Group to assess evidence-based strategies for effectively implementing clinical practice guidelines. This was part of a larger effort to update existing clinical practice guidelines on cholesterol, blood pressure, and overweight/obesity. OBJECTIVES: Review evidence from the published implementation science literature and identify effective or promising strategies to enhance the adoption and implementation of clinical practice guidelines. METHODS: This systematic review was conducted on 4 critical questions, each focusing on the adoption and effectiveness of 4 intervention strategies: (1) reminders, (2) educational outreach visits, (3) audit and feedback, and (4) provider incentives. A scoping review of the Rx for Change database of systematic reviews was used to identify promising guideline implementation interventions aimed at providers. Inclusion and exclusion criteria were developed a priori for each question, and the published literature was initially searched up to 2012, and then updated with a supplemental search to 2015. Two independent reviewers screened the returned citations to identify relevant reviews and rated the quality of each included review. RESULTS: Audit and feedback and educational outreach visits were generally effective in improving both process of care (15 of 21 reviews and 12 of 13 reviews, respectively) and clinical outcomes (7 of 12 reviews and 3 of 5 reviews, respectively). Provider incentives showed mixed effectiveness for improving both process of care (3 of 4 reviews) and clinical outcomes (3 reviews equally distributed between generally effective, mixed, and generally ineffective). Reminders showed mixed effectiveness for improving process of care outcomes (27 reviews with 11 mixed and 3 generally ineffective results) and were generally ineffective for clinical outcomes (18 reviews with 6 mixed and 9 generally ineffective results). Educational outreach visits (2 of 2 reviews), reminders (3 of 4 reviews), and provider incentives (1 of 1 review) were generally effective for cost reduction. Educational outreach visits (1 of 1 review) and provider incentives (1 of 1 review) were also generally effective for cost-effectiveness outcomes. Barriers to clinician adoption or adherence to guidelines included time constraints (8 reviews/overviews); limited staffing resources (2 overviews); timing (5 reviews/overviews); clinician skepticism (5 reviews/overviews); clinician knowledge of guidelines (4 reviews/overviews); and higher age of the clinician (1 overview). Facilitating factors included guideline characteristics such as format, resources, and end-user involvement (6 reviews/overviews); involving stakeholders (5 reviews/overviews); leadership support (5 reviews/overviews); scope of implementation (5 reviews/overviews); organizational culture such as multidisciplinary teams and low-baseline adherence (9 reviews/overviews); and electronic guidelines systems (3 reviews). CONCLUSION: The strategies of audit and feedback and educational outreach visits were generally effective in improving both process of care and clinical outcomes. Reminders and provider incentives showed mixed effectiveness, or were generally ineffective. No general conclusion could be reached about cost effectiveness, because of limitations in the evidence. Important gaps exist in the evidence on effectiveness of implementation interventions, especially regarding clinical outcomes, cost effectiveness and contextual issues affecting successful implementation.

Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality in India. Yet, evidence on the CVD risk of India's population is limited. To inform health system planning and effective targeting of interventions, this study aimed to determine how CVD risk-and the factors that determine risk-varies among states in India, by rural-urban location, and by individual-level sociodemographic characteristics. METHODS AND FINDINGS: We used 2 large household surveys carried out between 2012 and 2014, which included a sample of 797,540 adults aged 30 to 74 years across India. The main outcome variable was the predicted 10-year risk of a CVD event as calculated with the Framingham risk score. The Harvard-NHANES, Globorisk, and WHO-ISH scores were used in secondary analyses. CVD risk and the prevalence of CVD risk factors were examined by state, rural-urban residence, age, sex, household wealth, and education. Mean CVD risk varied from 13.2% (95% CI: 12.7%-13.6%) in Jharkhand to 19.5% (95% CI: 19.1%-19.9%) in Kerala. CVD risk tended to be highest in North, Northeast, and South India. District-level wealth quintile (based on median household wealth in a district) and urbanization were both positively associated with CVD risk. Similarly, household wealth quintile and living in an urban area were positively associated with CVD risk among both sexes, but the associations were stronger among women than men. Smoking was more prevalent in poorer household wealth quintiles and in rural areas, whereas body mass index, high blood glucose, and systolic blood pressure were positively associated with household wealth and urban location. Men had a substantially higher (age-standardized) smoking prevalence (26.2% [95% CI: 25.7%-26.7%] versus 1.8% [95% CI: 1.7%-1.9%]) and mean systolic blood pressure (126.9 mm Hg [95% CI: 126.7-127.1] versus 124.3 mm Hg [95% CI: 124.1-124.5]) than women. Important limitations of this analysis are the high proportion of missing values (27.1%) in the main outcome variable, assessment of diabetes through a 1-time capillary blood glucose measurement, and the inability to exclude participants with a current or previous CVD event. CONCLUSIONS: This study identified substantial variation in CVD risk among states and sociodemographic groups in India-findings that can facilitate effective targeting of CVD programs to those most at risk and most in need. While the CVD risk scores used have not been validated in South Asian populations, the patterns of variation in CVD risk among the Indian population were similar across all 4 risk scoring systems.