Incorporating principles from commercial advertising into cardiovascular health promotion efforts
Bibliographic record
Abstract
Given that cardiovascular disease (CVD) remains a leading cause of mortality, the importance of preventing cardiovascular events is critical for patients and healthcare systems. Individual health behaviours play an important role in an individual’s CVD risk and trajectory. Unfortunately, health behaviours are difficult to influence, despite many different types of programmes for providing health education and behaviour change counselling. Due to the underwhelming mixed successes of traditional educational programmes,1 there is a need for novel approaches to promoting the adoption of healthy behaviours to minimize individual risk while maximizing population health. We recently published the findings from the Assessing outcomes of enhanced Chronic disease Care through patient Education and a value-baSed formulary Study (ACCESS), demonstrating that a novel approach to education and self-management was associated with significant improvements in cardiovascular outcomes.2 We tested a self-management education and support (SMES) programme that incorporated principles of commercial advertising and demonstrated a 22% reduction in the primary outcome (a composite of mortality, major adverse cardiovascular events, revascularization, and cardiovascular-related hospitalizations). The findings were driven by a 34% reduction in the rate of hospitalizations, 68% of which were for heart failure. While this is encouraging, the mechanism of benefit was unclear, as the only intermediate outcome that was significantly affected by the intervention was the number of participants who received a statin prescription. Despite our prior qualitative and quantitative process evaluations of this programme,3–5 further research into the mechanism of benefit and how to maximize its effect is required. Consumer advertising refers to creative communications tactics directed towards individuals and families intended to influence behaviour of the target audience. Studies on the effect of advertising in health have found that it can empower and engage patients through increasing disease awareness, medication adherence, and the strengthening of physician–patient relationships.6 There are also well-described harms of direct-to-consumer advertising in medicine.7 Despite this, we hypothesized that with sufficient medical oversight, communications based on advertising principles could be harnessed to benefit patients and health systems, specifically in the context of chronic disease management where daily behaviour is a key driver of adverse events. Advertisers create engaging communications using a strategic framework that is focused on the psychology, behaviours, and habits of the intended recipient. The framework is conceptually very simple, consisting of a research phase, a creative phase, and an execution phase. In the research phase, a conventional approach that is often used is the 5 Cs: customer, category, company, culture, and connectivity. ‘Customer’ refers to the advertising target audience, who is defined both demographically and psychographically with respect to the intended behaviour; ‘category’ refers to the competitive set: the products, services, cultural, and behavioural obstacles that compete with the intended action; ‘company’ is the marketer and its perceived advantages and disadvantages in the eyes of the target audience; ‘culture’ are the broad societal concepts that shape the target audiences’ mind and habits relating to the subject area; and ‘connectivity’ refers to the media channels most often used by the intended audience. Polling, focus groups, and human-centred ethnographic research are used to inform the overall strategy. In the creative phase, data from the research phase is synthesized and distilled into ‘brand concepts’. The brand concepts are tested with audiences, refined, and reduced to a singular idea that serves as the central story of the ‘brand’. During this phase, the ‘brand personality’, which describes the ‘look and feel’ of the brand, is also built. In the execution phase, branded materials that are true to the brand story and are in the form that is most trusted by the intended target audience are created and disseminated. In the case of creating the SMES content for the ACCESS trial, this process was closely followed (Figure 1). The research phase provided key insights into the psychological state of the audience, their preferred modes of communication, their aspirations for their lives, and their relationship with their own health and the healthcare system. These insights led to the brand position: ‘living a healthy life on my own terms’. The name ‘Moxie’, which came out of research testing, is a word that both means and inspires confidence. The ‘stickiness’ of the Moxie approach relied on four essential features: the Moxie brand was coming from the university hospital system, a trusted source of medical information; each individual piece of branded material relied heavily on storytelling and design and minimally on disease education; and all the information that each participant received was directly applicable and tailored to their own specific medical conditions, providing no extraneous information that was not pertinent; finally, the reliance on mailers was intentional and based on the stated preference over electronic communications. The overall Moxie programme, therefore, was created using the principles of advertising and intentionally designed with the psychosocial circumstances of the audience at its centre. Process of developing MOXIE using principles from commercial advertising One of the major advantages of this advertising-based approach to providing health education is its scalability. Once the intervention materials are developed and tailoring criteria are decided upon, the intervention could be rolled out to entire populations with relatively minimal incremental costs. Based on our calculations, if Moxie had been rolled out to 10 000 individuals (rather than 2380 as within the trial), the cost per recipient would have been as low as $250 (compared to $540) for the 3-year period.2 This contrasts with the current standard which often relies upon in-person provision of education either in group or one-on-one settings. This requires hiring a trained facilitator or educator, who is, in many cases, a highly trained healthcare professional—dietitian, nurse, or pharmacist. For the equivalent cost of the ACCESS intervention, a health system might be able to purchase a single education session with such personnel. This is important to note as most of the studies demonstrating the effectiveness of motivational interviewing for behaviour change require multiple sessions.8 This is not to say that there would not be a role for health educators, but their role could be focused upon providing patient-specific advice such as insulin dosing or medication titration, whereas more generic information could be efficiently provided by a remote and standardized SMES programme like Moxie. Based upon the findings of the ACCESS trial, we encourage health systems to consider how incorporating principles from corporate advertising can help accomplish objectives of reducing avoidable hospitalizations by improving population health through behaviour change for cardiovascular prevention. R.P. is the CEO of Emergence Creative, the social impact creative design agency that created Moxie.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".