Could nudges reduce health literacy disparities in CVD prevention? An experiment using alternative messages for CVD risk assessment screening

OBJECTIVE

To explore the effect of SMS nudge messages amongst people with varying health literacy on their intention to get a Heart Health Check.

METHODS

A 3 (Initial SMS: scarcity, regret, or control nudge) x 2 (Reminder SMS: social norm or control nudge) factorial design was used in a hypothetical online experiment. 705 participants eligible for Heart Health Checks were recruited. Outcomes included intention to attend a Heart Health Check and psychological responses.

RESULTS

In the control condition, people with lower health literacy had lower behavioural intentions compared to those with higher health literacy (p = .011). Scarcity and regret nudges closed this gap, resulting in similar intention levels for lower and higher health literacy. There was no interactive effect of the reminder nudge and health literacy (p = .724).

CONCLUSION

Scarcity and regret nudge messages closed the health literacy gap in behavioural intentions compared to a control message, while a reminder nudge had limited additional benefit. Health literacy should be considered in behavioural intervention evaluations to ensure health equity is addressed.

PRACTICE IMPLICATIONS

Results informed a national screening program using a universal precautions approach, where messages with higher engagement for lower health literacy groups were used in clinical practice.

2023 Australian guideline for assessing and managing cardiovascular disease risk

INTRODUCTION

The 2023 Australian guideline for assessing and managing cardiovascular disease risk provides updated evidence-based recommendations for the clinical assessment and management of cardiovascular disease (CVD) risk for primary prevention. It includes the new Australian CVD risk calculator (Aus CVD Risk Calculator), based on an equation developed from a large New Zealand cohort study, customised and recalibrated for the Australian population. The new guideline replaces the 2012 guideline that recommended CVD risk assessment using the Framingham risk equation.

MAIN RECOMMENDATIONS

The new guideline recommends CVD risk assessment in people without known CVD: all people aged 45-79 years, people with diabetes from 35 years, and First Nations people from 30 years. The new Aus CVD Risk Calculator should be used to estimate and categorise CVD risk into low (< 5% risk over five years), intermediate (5% to < 10% risk over five years) or high risk (≥ 10% over five years). The following reclassification factors may be applied to recategorise calculated risk to improve accuracy of risk prediction, particularly in individuals close to a risk threshold: Indigenous status/ethnicity, estimated glomerular filtration rate, urine albumin to creatinine ratio measurements, severe mental illness, coronary artery calcium score and family history of premature CVD. A variety of communication formats is available to communicate CVD risk to help enable shared decision making. Healthy lifestyle modification, including smoking cessation, nutrition, physical activity and limiting alcohol, is encouraged for all individuals. Blood pressure-lowering and lipid-modifying pharmacotherapies should be prescribed for high risk and considered for intermediate risk individuals, unless contraindicated or clinically inappropriate. Reassessment of CVD risk should be considered within five years for individuals at low risk and within two years for those with intermediate risk. Reassessment of CVD risk is not recommended for individuals at high risk. CHANGES IN ASSESSMENT AND MANAGEMENT AS A RESULT OF THE GUIDELINE: The updated guideline recommends assessment over a broader age range and uses the Aus CVD Risk Calculator, which replaces the previous Framingham-based equation. It incorporates new variables: social disadvantage, diabetes-specific risk markers, diagnosis of atrial fibrillation and use of blood pressure-lowering and lipid-modifying therapies. Reclassification factors are also a new addition. Updated risk categories and thresholds are based on the new Aus CVD Risk Calculator. The proportion of the population in the high risk category (≥ 10% over five years) is likely to be broadly comparable to more than 15% risk from the Framingham-based equation. The full guideline and Aus CVD Risk Calculator can be accessed at www.cvdcheck.org.au.

Assessing, communicating and managing cardiovascular disease risk: a practical summary of the 2023 guideline

The outdated cardiovascular disease risk calculator has been reported to overestimate cardiovascular disease risk for a contemporary Australian population, and does not include relevant variables, such as socioeconomic disadvantage, which has been shown to increase the incidence of both heart attack and stroke. The 2023 Australian Guideline for Assessing and Managing Cardiovascular Disease Risk marks a major milestone as the first update to Australia's cardiovascular disease prevention guideline in over a decade. The new guideline may help to refine and recategorise risk estimates, hence improving the discriminatory and predictive value of the new calculator. The new Australian Cardiovascular Disease Risk Calculator expresses risk scores as a percentage estimate of a person's probability of dying or being hospitalised due to cardiovascular disease within the next 5 years. The new calculator expresses risk scores as low (less than 5%), intermediate (5% to less than 10%), or high (10% or higher) risk over 5 years. Reclassification factors built into the new calculator are designed to help clinicians individualise risk estimates. These factors include ethnicity (e.g. First Nations status), family history of premature cardiovascular disease, severe mental illness, kidney disease and coronary artery calcium score. The new calculator also uses optional diabetes-specific variables (supporting a more granular cardiovascular disease risk assessment of people with type 2 diabetes). People who meet the clinically determined high-risk criteria (chronic kidney disease, familial hypercholesterolaemia) should not progress through the Australian Cardiovascular Disease risk calculator, but move straight to management. For a person with a cardiovascular disease risk score recorded from the outdated calculator, clinicians may want to reassess their risk using the new calculator the next time the person attends.

Cardiovascular Disease Implementation and Policy Priorities for Australia: Recommendations From an Australian Stakeholder Roundtable

The Australian Cardiovascular Alliance (ACvA), the Cardiac Society of Australia and New Zealand (CSANZ) and the National Heart Foundation of Australia (NHFA) recently joined forces to bring the cardiovascular and stroke community together to convene and document a national discussion and propose a national CVD Implementation and Policy agenda and action plan. This includes prevention and screening, acute care and secondary prevention.

Evidence supporting the choice of a new cardiovascular risk equation for Australia

This article reviews the risk equations recommended for use in international cardiovascular disease (CVD) primary prevention guidelines and assesses their suitability for use in Australia against a set of a priori defined selection criteria. The review and assessment were commissioned by the National Heart Foundation of Australia on behalf of the Australian Chronic Disease Prevention Alliance to inform recommendations on CVD risk estimation as part of the 2023 update of the Australian CVD risk assessment and management guidelines. Selected international risk equations were assessed against eight selection criteria: development using contemporary data; inclusion of established cardiovascular risk factors; inclusion of ethnicity and deprivation measures; prediction of a broad selection of fatal and non-fatal CVD outcomes; population representativeness; model performance; external validation in an Australian dataset; and the ability to be recalibrated or modified. Of the ten risk prediction equations reviewed, the New Zealand PREDICT equation met seven of the eight selection criteria, and met additional usability criteria aimed at assessing the ability to apply the risk equation in practice in Australia.

Feasibility of a text-mediated recall system to increase cardiovascular disease risk assessment in general practice: Mixed-methods pilot evaluation

BACKGROUND AND OBJECTIVES

The uptake of formal cardiovascular disease risk assessment in the primary prevention setting is low. We tested the feasibility of an SMS recall system to invite eligible patients for a Heart Health Check in Australian general practice.

METHOD

Of 332 general practices that expressed interest in the study, 231 were randomised to either an intervention or wait list control group. Intervention general practices sent SMS invitations linked to digital information to eligible patients via general practice software. Deidentified baseline and two-month data were extracted via clinical audit software. A survey was administered to 35 intervention general practices.

RESULTS

General practice visits were similar between the control and intervention groups, but Heart Health Check billing increased 14-fold in the intervention group.

DISCUSSION

This study showed that an SMS recall system for Heart Health Checks can be effective and acceptable in general practice. The findings will inform a broader implementation trial over 2022-23.

Australian Atherosclerosis Society Position Statement on Lipoprotein(a): Clinical and Implementation Recommendations

This position statement provides guidance to cardiologists and related specialists on the management of adult patients with elevated lipoprotein(a) [Lp(a)]. Elevated Lp(a) is an independent and causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic valve disease (CAVD). While circulating Lp(a) levels are largely determined by ancestry, they are also influenced by ethnicity, hormones, renal function, and acute inflammatory events, such that measurement should be done after accounting for these factors. Further, circulating Lp(a) concentrations should be estimated using an apo(a)-isoform independent assay that employs appropriate calibrators and reports the results in molar units (nmol/L). Selective screening strategies of high-risk patients are recommended, but universal screening of the population is currently not advised. Testing for elevated Lp(a) is recommended in all patients with premature ASCVD and those considered to be at intermediate-to-high risk of ASCVD. Elevated Lp(a) should be employed to assess and stratify risk and to enable a decision on initiation or intensification of preventative treatments, such as cholesterol lowering therapy. In adult patients with elevated Lp(a) at intermediate-to-high risk of ASCVD, absolute risk should be reduced by addressing all modifiable behavioural, lifestyle, psychosocial and clinical risk factors, including maximising cholesterol-lowering with statin and ezetimibe and, where appropriate, PCSK9 inhibitors. Apheresis should be considered in patients with progressive ASCVD. New ribonucleic acid (RNA)-based therapies which directly lower Lp(a) are undergoing clinical trials.

Information Needs and Communication Strategies for People with Coronary Heart Disease: A Scoping Review

A critical aspect of coronary heart disease (CHD) care and secondary prevention is ensuring patients have access to evidence-based information. The purpose of this review is to summarise the guiding principles, content, context and timing of information and education that is beneficial for supporting people with CHD and potential communication strategies, including digital interventions. We conducted a scoping review involving a search of four databases (Web of Science, PubMed, CINAHL, Medline) for articles published from January 2000 to August 2022. Literature was identified through title and abstract screening by expert reviewers. Evidence was synthesised according to the review aims. Results demonstrated that information-sharing, decision-making, goal-setting, positivity and practicality are important aspects of secondary prevention and should be patient-centred and evidenced based with consideration of patient need and preference. Initiation and duration of education is highly variable between and within people, hence communication and support should be regular and ongoing. In conclusion, text messaging programs, smartphone applications and wearable devices are examples of digital health strategies that facilitate education and support for patients with heart disease. There is no one size fits all approach that suits all patients at all stages, hence flexibility and a suite of resources and strategies is optimal.

Management of patients with type 2 diabetes and cardiovascular disease in primary care

BACKGROUND AND OBJECTIVES

Approximately 65% of cardiovascular disease (CVD)-related deaths in Australia occur in people with diabetes or pre-diabetes. The aim of this study was to investigate general practice management of risk factors among patients with both conditions.

METHOD

This was a cross-sectional study of 33,559 adult patients with both type 2 diabetes and CVD at 1 November 2018, using the general practice data program MedicineInsight.

RESULTS

One-third of patients did not have a record in their current medications list for all three recommended medicines to reduce cardiovascular risk. Potentially suboptimal monitoring and achievement of targets for diabetes and cardiovascular risk factors was also identified. Most patients using metformin-based combination therapy were prescribed blood glucose-lowering medicines that do not have evidence of cardiovascular benefit.

DISCUSSION

These data suggest opportunities to support general practices to optimise patient management. Datasets such as MedicineInsight can help practices identify patients who may benefit from recall.

Evaluation of academic detailing visits on GP knowledge and practice for statin use and management

Dyslipidaemia is a major risk factor for cardiovascular disease (CVD) and is routinely managed by GPs. Lipid-modifying medicines, commonly statins, are used to treat dyslipidaemia and prevent CVD in high-risk individuals. A national education program for over 8000 Australian GPs was delivered and evaluated. The program aimed to optimise the use of statins and provide GPs with an Australian-developed statin-associated muscle symptoms (SAMS) management algorithm supporting assessment and management of suspected SAMS. Retrospective pre-test and control questionnaires were administered to measure changes in knowledge and intended practice following the education program. A total of 226 participant GPs and 150 control GPs completed the questionnaires. The program led to positive changes in GP knowledge and intended practice around the use of absolute CVD risk to make prescribing decisions. Participant GPs demonstrated increased knowledge, compared with control GPs, about the use of CVD risk calculators as the most effective approach to lipid management, and adequately trialling a statin before considering a second agent. One of the greatest improvements in participant GP-intended practice related to the assessment and management of suspected SAMS, with participant GPs more likely to appropriately identify and manage suspected SAMS than control GPs.

Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey

Background

Heart age calculators are used worldwide to engage the public in cardiovascular disease (CVD) prevention. Experimental studies with small samples have found mixed effects of these tools, and previous reports of population samples that used web-based heart age tools have not evaluated psychological and behavioral outcomes.

Objective

This study aims to report on national users of the Australian heart age calculator and the follow-up of a sample of users.

Methods

The heart age calculator was launched in 2019 by the National Heart Foundation of Australia. Heart age results were calculated for all users and recorded for those who signed up for a heart age report and an email follow-up over 10 weeks, after which a survey was conducted. CVD risk factors, heart age results, and psychological and behavioral questions were analyzed using descriptive statistics and chi-square tests. Open responses were thematically coded.

Results

There were 361,044 anonymous users over 5 months, of which 30,279 signed up to receive a heart age report and 1303 completed the survey. There were more women (19,840/30,279, 65.52%), with an average age of 55.67 (SD 11.43) years, and most users knew blood pressure levels (20,279/30,279, 66.97%) but not cholesterol levels (12,267/30,279, 40.51%). The average heart age result was 4.61 (SD 4.71) years older than the current age, including (23,840/30,279, 78.73%) with an older heart age. For the survey, most users recalled their heart age category (892/1303, 68.46%), and many reported lifestyle improvements (diet 821/1303, 63.01% and physical activity 809/1303, 62.09%). People with an older heart age result were more likely to report a doctor visit (538/1055, 51.00%). Participants indicated strong emotional responses to heart age, both positive and negative.

Conclusions

Most Australian users received an older heart age as per international and UK heart age tools. Heart age reports with follow-up over 10 weeks prompted strong emotional responses, high recall rates, and self-reported lifestyle changes and clinical checks for more than half of the survey respondents. These findings are based on a more engaged user sample than previous research, who were more likely to know blood pressure and cholesterol values. Further research is needed to determine which aspects are most effective in initiating and maintaining lifestyle changes. The results confirm high public interest in heart age tools, but additional support is needed to help users understand the results and take appropriate action.