Prevention Campaigns for Non-infectious Disease

A campaign is judged by measurable evidence, not by how loud or memorable it is. Keep these words handy as you build one.

Public health works at three levels, and naming the right one is often the difference between a Band 4 and a Band 5 answer. Primary prevention acts before disease exists, by removing or reducing the exposure itself. Sun protection, tobacco taxation, folate fortification and vaccination all sit here. Nobody is ill yet, and the aim is that nobody becomes ill.

Secondary prevention acts after the disease process has begun but before symptoms appear. Screening programs are the clearest case, because they detect bowel polyps, cervical cell changes or raised blood pressure early enough to treat cheaply and successfully. The disease exists, but the damage it would have caused has not yet been done.

Tertiary prevention acts once disease is established, and aims to limit further damage rather than cure. Diabetes foot checks and retinal screening, cardiac rehabilitation after a heart attack, and blood-pressure control in chronic kidney disease all belong here. Each one prevents a complication rather than the original disease.

Before choosing actions, decide what you are targeting. A strong strategy links a risk factor to a target audience and a measurable outcome.

Campaigns fail in a predictable way. People learn the message, agree with it, and then do not change what they do. That gap exists because behaviour is shaped by cost, convenience, habit, social norms and the physical environment far more than by information. A student can know that UV causes melanoma and still have nowhere shaded to sit at lunch.

Make the safer choice the easy one

The strongest strategies therefore pair education with a change to the environment. Free sunscreen dispensers at the school gate, shade over the courts, and a hat rule that applies to everyone all remove effort from the decision. These are called upstream actions because they change the conditions people act in, rather than asking individuals to work harder against those conditions.

This is also why an evaluation reporting "increased awareness" is weak evidence. Awareness sits at the very start of the chain. Ask instead whether the exposure itself changed, whether the change lasted after the campaign ended, and whether it reached the students carrying the highest risk.

Effectiveness is measured at three depths, and matching the measure to the time available is exactly what examiners reward. Process measures count what the campaign did: bottles of sunscreen distributed, lessons delivered, students reached. They confirm the campaign happened, but they say nothing at all about whether it worked.

Impact measures record the change in the behaviour or exposure the campaign targeted. Observed hat wearing, sunscreen use, reported sunburn and measured UV exposure sit here. In the short term these are the strongest evidence you can get, because the behaviour is the mechanism through which disease risk actually falls.

Outcome measures record the change in disease itself: melanoma incidence and mortality. They matter most, and you can almost never use them inside a school year, because melanoma takes decades to develop. So judge a three-month campaign on impact measures, and name the outcome measure as the long-term goal.

A melanoma campaign can target UV exposure by combining education with practical supports: shade, sunscreen, protective clothing and reminders when UV levels are high. Evaluation could compare sun-protection behaviour, sunburn rates or melanoma trends over time.

A campaign is only as good as its reach. Equity means the strategy works for every group, so free sunscreen, shaded areas and messaging that suits different students all help it lower risk fairly rather than only for those who already have access.

Australian tobacco control is the most complete example of layered prevention anywhere, and it is worth knowing in numbers. Daily smoking among adults fell from roughly one in three in 1980 to about one in ten today. No single measure produced that fall. Each layer removed a different barrier or added a different cost to smoking.

Education and Quitline supplied knowledge and support. Excise increases made cigarettes progressively less affordable, which is the measure with the strongest evidence behind it and the largest effect on young smokers, who have the least money. Advertising bans and plain packaging from 2012 stripped out brand appeal. Smoke-free workplaces, pubs and outdoor dining changed the social norm and cut passive exposure at the same time.

What the evaluation shows about timing

Smoking rates fell first, and lung-cancer incidence in Australian men followed roughly twenty to thirty years later, because the exposure has to accumulate before disease appears. Judging tobacco control on lung-cancer rates in the year a law passed would have declared every measure a failure. This is the lag you must allow for whenever you evaluate prevention.

The syllabus asks you to evaluate prevention methods using secondary sources, so the quality of the source is part of the answer. A secondary source summarises or interprets data that someone else collected. The Australian Institute of Health and Welfare, Cancer Council Australia, the Australian Bureau of Statistics and peer-reviewed journals are the ones to reach for first.

Judge a source on four questions. Who produced it, and do they benefit from the conclusion? When was it published, given that disease rates and programs change? Does it report real data with sample sizes, or only claims? And does it agree with other independent sources covering the same question?

A news article reporting "sunscreen use up 30 percent" is not evidence by itself. Trace it back to the study, check the sample size and whether there was a comparison group, and find out whether the figure came from observation or from people reporting on themselves. Those checks often change the conclusion.