Evaluating the impact of population and high-risk strategies for the primary prevention of cardiovascular disease. Lifestyle‐Based Prediction Model for the Prevention of CVD: The Healthy Heart Score Rationale and design of the Rural Andhra Pradesh Cardiovascular Prevention Study (RAPCAPS): a factorial, cluster-randomized trial of 2 practical cardiovascular disease prevention strategies developed for rural Andhra Pradesh, India. Information and Risk Modification Trial (INFORM): design of a randomised controlled trial of communicating different types of information about coronary heart disease risk, alongside lifestyle advice, to achieve change in health-related behaviour Evaluating the use of mobile phone technology to enhance cardiovascular disease screening by community health workers An integrated general practice and pharmacy-based intervention to promote the use of appropriate preventive medications among individuals at high cardiovascular disease risk: protocol for a cluster randomized controlled trial
AIMS To estimate the potential effectiveness of different " high-risk " and " population " approaches to the primary prevention of  cardiovascular disease ( CVD ) in middle-aged British men , after correction for regression dilution bias . METHODS AND RESULTS We used a combination of cohort and r and omised controlled trial evidence to estimate the effectiveness of high-risk strategies , based on the identification of high-risk factors or high absolute risk , and strategies based on population -wide reductions in cholesterol and blood pressure . High-risk strategies were potentially effective but would need to be used widely to have a substantial effect on CVD in the population . Aggressive pharmacological treatment ( using statins , beta-blockers , ACE-inhibitors and aspirin ) in individuals with a 10-year Framingham event risk of > or=30 % ( 6 % of population ) would have reduced major CVD by at most 11 % . This figure increased to 34 % at a > or=20 % treatment threshold ( 26 % of population ) . In contrast , modest downwards shifts in the population distributions of serum total cholesterol and systolic blood pressure led to marked expected reductions in major CVD . Taking regression dilution bias into account , 10 % reductions in long-term mean blood cholesterol and blood pressure could have reduced major CVD by 45 % . CONCLUSIONS If high-risk strategies are to have a major impact on CVD in the population , they need to be more widely used than previously envisaged . Population -wide reduction of major risk factors is needed if CVD is to be substantially reduced Background Clinical practice focuses on the primary prevention of  cardiovascular ( CV ) disease ( CVD ) through the modification and pharmacological treatment of elevated risk factors . Prediction models based on established risk factors are available for use in the primary prevention setting . However , the prevention of risk factor development through healthy lifestyle behaviors , or primordial prevention , is of paramount importance to achieve optimal population ‐wide CV health and minimize long‐term CVD risk . Methods and Results We developed a  lifestyle‐based CVD prediction model among 61 025 women in the Nurses ’ Health Study and 34 478 men in the Health Professionals Follow‐up Study , who were free of chronic disease in 1986 and followed for ≤24 years .  Lifestyle factors  were assessed by question naires in 1986 . In the derivation step , we used the Bayes Information Criterion to create parsimonious 20‐year risk prediction models among a r and om two thirds of participants in each cohort separately . The scores were vali date d in the remaining one third of participants in each cohort . Over 24 years , there were 3775 cases of CVD in women and 3506 cases in men . The Healthy Heart Score included age , smoking , body mass index , exercise , alcohol , and a composite diet score . In the validation cohort , the risk score demonstrated good discrimination ( Harrell 's C‐index , 0.72 ; 95 % confidence interval [ CI ] , 0.71 , 0.74 [ women ] ; 0.77 ; 95 % CI , 0.76 , 0.79 [ men ] ) , fit , and calibration , particularly among individuals without baseline hypertension or hypercholesterolemia . Conclusions The Healthy Heart Score accurately identifies individuals at elevated risk for CVD and may serve as an important clinical and public health screening tool for the primordial prevention of CVD BACKGROUND Developing countries are experiencing increasing levels of cardiovascular disease ( CVD ) . Although there is a good underst and ing of how to deliver CVD prevention programs in developed countries , there are few data regarding strategies for CVD prevention in re source -poor setting s. This study aim ed to implement and evaluate a CVD prevention program in a rural area of India . METHODS The 2 strategies of CVD prevention to be investigated are an algorithm-based care approach and a health-promotion campaign . A factorial , cluster-r and omized trial design will be used to evaluate these , in which villages will be exposed to one , both , or neither of the interventions for a period of about 12 months . Surveys of households in every village will be used to assess outcomes in all high-risk individuals and a sample of the general adult population . RESULTS The primary outcome of the algorithm-based component of this study will be the percentage of high-risk individuals that have been " identified"-defined as having received a cardiovascular-risk assessment in the last 12 months . The primary outcome for the health-promotion component will be the percentage of the adult population with correct knowledge about the effects of 6 behavioral determinants of cardiovascular risk ( green-leafy vegetables , fruits , oily foods , salt , smoking , physical activity ) . Secondary outcomes include a range of measures defining uptake of different preventive strategies . CONCLUSIONS This study will provide evidence about the effectiveness of a simple practical mechanism of CVD preventive care specifically design ed for delivery in a re source -poor area in India Background Cardiovascular disease ( CVD ) remains the leading cause of death globally . Primary prevention of CVD requires cost-effective strategies to identify individuals at high risk in order to help target preventive interventions . An integral part of this approach is the use of CVD risk scores . Limitations in previous studies have prevented reliable inference about the potential advantages and the potential harms of using CVD risk scores as part of preventive strategies . We aim to evaluate short-term effects of providing different types of information about coronary heart disease ( CHD ) risk , alongside lifestyle advice , on health-related behaviours . Methods / Design In a parallel-group , open r and omised trial , we are allocating 932 male and female blood donors with no previous history of CVD aged 40–84 years in Engl and to either no intervention ( control group ) or to one of three active intervention groups : i ) lifestyle advice only ; ii ) lifestyle advice plus information on estimated 10-year CHD risk based on phenotypic characteristics ; and iii ) lifestyle advice plus information on estimated 10-year CHD risk based on phenotypic and genetic characteristics . The primary outcome is change in objective ly measured physical activity . Secondary outcomes include : objective ly measured dietary behaviours ; cardiovascular risk factors ; current medication and healthcare usage ; perceived risk ; cognitive evaluation of provision of CHD risk scores ; and psychological outcomes . The follow-up assessment takes place 12 weeks after r and omisation . The experiences , attitudes and concerns of a subset of participants will be also studied using individual interviews and focus groups . Discussion The INFORM study has been design ed to provide robust findings about the short-term effects of providing different types of information on estimated 10-year CHD risk and lifestyle advice on health-related behaviours . Trial registration Current Controlled Trials IS RCT N17721237 . Registered 12 January 2015 BACKGROUND Primary prevention of cardiovascular disease (CVD),by identifying individuals at risk is a well-established , but costly strategy when based on measurements that depend on laboratory analyses . A non-laboratory , paper-based CVD risk assessment chart tool has previously been developed to make screening more affordable in developing countries . Task shifting to community health workers ( CHWs ) is being investigated to further scale CVD risk screening . This study aim ed to develop a mobile phone CVD risk assessment application and to evaluate its impact on CHW training and the duration of screening for CVD in the community by CHWs . METHODS A feature phone application was developed using the open source online platform , CommCare ( © ) . CHWs ( n=24 ) were trained to use both paper-based and mobile phone CVD risk assessment tools . They were r and omly allocated to using one of the risk tools to screen 10 - 20 community members and then crossed over to screen the same number , using the alternate risk tool . The impact on CHW training time , screening time and margin of error in calculating risk scores was recorded . A focus group discussion evaluated experiences of CHWs using the two tools . RESULTS The training time was 12.3h for the paper-based chart tool and 3h for the mobile phone application . 537 people were screened . The mean screening time was 36 min ( SD=12.6 ) using the paper-base chart tool and 21 min ( SD=8.71 ) using the mobile phone application , p=<0.0001 . Incorrect calculations ( 4.3 % of average systolic BP measurements , 10.4 % of BMI and 3.8 % of CVD risk score ) were found when using the paper-based chart tool while all the mobile phone calculations were correct . Qualitative findings from the focus group discussion corresponded with the findings of the pilot study . CONCLUSION The reduction in CHW training time , CVD risk screening time , lack of errors in calculation of a CVD risk score and end user satisfaction when using a mobile phone application , has implication s in terms of adoption and sustainability of this primary prevention strategy to identify people with high CVD risk who can be referred for appropriate diagnoses and treatment Background Cardiovascular diseases ( CVD ) are responsible for significant morbidity , premature mortality , and economic burden . Despite established evidence that supports the use of preventive medications among patients at high CVD risk , treatment gaps remain . Building on prior evidence and a theoretical framework , a complex intervention has been design ed to address these gaps among high-risk , under-treated patients in the Australian primary care setting . This intervention comprises a general practice quality improvement tool incorporating clinical decision support and audit/feedback capabilities ; availability of a range of CVD polypills ( fixed-dose combinations of two blood pressure lowering agents , a statin ± aspirin ) for prescription when appropriate ; and access to a pharmacy-based program to support long-term medication adherence and lifestyle modification . Methods Following a systematic development process , the intervention will be evaluated in a pragmatic cluster r and omized controlled trial including 70 general practice s for a median period of 18 months . The 35 general practice s in the intervention group  will work with a nominated partner pharmacy , whereas those in the control group will provide usual care without access to the intervention tools . The primary outcome is the proportion of patients at high CVD risk who were inadequately treated at baseline who achieve target blood pressure ( BP ) and low-density lipoprotein cholesterol ( LDL-C ) levels at the study end . The outcomes will be analyzed using data from electronic medical records , utilizing a vali date d extraction tool . Detailed process and economic evaluations will also be performed . Discussion The study intends to establish evidence about an intervention that combines technological innovation with team collaboration between patients , pharmacists , and general practitioners ( GPs ) for CVD prevention . Trial registration Australian New Zeal and Clinical Trials Registry
Conclusions This review demonstrates the potential for multifactorial interventions aim ed at individuals selected by CVD risk scores for lowering CVD risk and mortality .
However , the majority of studies in this area do not provide an intensity of intervention which is sufficient in significantly reducing CVD mortality or vali date d CVD risk
Objectives The high prevalence of cardiovascular disease ( CVD ) and the increased cost of treatment have prompted strategies for the primary prevention of CVD in the UK to move towards the use of vali date d CVD risk scores to identify individuals at the highest risk .
There are no review s evaluating the effectiveness of this strategy as a means of reducing CVD risk or mortality .
This review summarizes current evidence for and against the use of vali date d CVD risk scores for the primary prevention of CVD .