Applications making health claims fall into different regulatory categories depending on what they do.
Medical device classification
Software intended to diagnose or treat.
Which requires regulatory approval.
Wellness applications
General fitness and lifestyle tools.
Which sit outside device regulation.
Where the line falls
Intended purpose determining classification.
Which developers state and regulators assess.
Data protection
Health data attracting stronger protection in most jurisdictions.
Which apps handle with varying rigour.
Why the distinction matters to users
An app cleared as a medical device has demonstrated to a regulator that it does what it claims; a wellness app has not, and both look similar in an app store.
Which means a heart rhythm feature may be regulated while a stress score sitting next to it is not.
Developers state an intended purpose, and careful wording keeps many products outside device regulation while implying clinical value.
Evidence for health apps
A small proportion having published evaluation.
Which reviews have documented.
Data handling
Health information shared with third parties in some cases.
Which investigations have found.
Prescribed digital therapeutics
Regulated products available through health systems.
A general note
App outputs are not diagnoses; concerning symptoms warrant medical assessment.
Why reading health evidence properly is worth the effort
Health is the area where people most often act on what they read and where the reporting is least reliable. That is not primarily because anyone is dishonest; it is because a chain running from researcher to press office to journalist to headline writer amplifies at every step, and the incentives at each stage push in the same direction.
The result is a public information environment where genuinely useful findings sit alongside overstated ones, presented identically. The difference between them is visible to anyone willing to ask four questions, and invisible to anyone who is not.
The four questions
What was actually studied, in whom, compared against what, and how large was the effect in absolute terms. Those four dispose of the majority of misleading health coverage, and none of them requires any scientific training to ask.
A study in mice is not a finding about people. An observational association is not evidence of cause. A thirty percent increase in a one in ten thousand risk is a small absolute change. A comparison against doing nothing tells you almost nothing about whether an intervention beats the alternatives.
What actually has good evidence behind it
The interventions with the strongest and most consistent support across health research are unglamorous and mostly free: not smoking, regular physical activity, adequate sleep, a varied diet without excessive processed food, moderate or no alcohol, and social connection.
None of these can be packaged and sold at a margin, which is a substantial part of why they receive less attention than products that can. The evidence for them is stronger than for anything in the wellness aisle, and it has been stable for decades.
A general note
Nothing here is medical advice. It describes how evidence in these areas is produced and reported. Anything concerning your own health belongs with a qualified professional who knows your circumstances, and guidance differs between countries.
Why the boring answer keeps being right
The interventions with good evidence have been tested repeatedly, in different populations, using different methods, over long periods. That is a high bar and very little clears it.
Anything new arriving with dramatic claims and thin evidence should be read against that background rather than in isolation. Most of it will not replicate, which is not cynicism but the base rate in health research. The findings that survive tend to be modest, unexciting and durable.
A note on uncertainty
A great deal of health science is genuinely uncertain, and that uncertainty is real rather than a failure of the researchers. Studying what people eat, how they sleep and how they live over decades is extremely difficult, and the methods available are imperfect.
Coverage that presents findings as settled when they are not does more damage than the uncertainty itself, because it produces the impression that the science keeps reversing when what is actually happening is that preliminary results were reported as conclusions.
Where to look instead
National health services and systematic review organisations publish plain-language evidence summaries, free and without anything to sell. Clinical guidelines publish their reasoning and their assessment of how certain the evidence is.
All of it is less interesting than headlines and considerably more likely to still be accurate next year.
The practical position
Do the things with good evidence, be sceptical of anything requiring a purchase, take symptoms to a clinician rather than to a search engine, and treat any single study as a data point rather than as news.
That is a short list, it is unexciting, and it is what the accumulated evidence actually supports.
One final caveat
Guidance in these areas changes as evidence accumulates, and anything written at a point in time carries that date. Where a decision matters, the current position from a national health body is the reliable source.