Populations are ageing and populations are moving. Both put pressure on the same digital systems and they ask for nearly opposite things, so a recommendation has to say which one it answers.
An ageing population and a moving one, and why the same intervention cannot serve both.
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What is promised
- Remote monitoring instead of visits
- Automated triage to sort demand
- Care robots for lifting and reminders
What is true of the users
- Lowest device ownership of any group
- Least confidence using new systems
- Most likely to be living alone
The catch stated plainly: A solution aimed at the group with the highest need is aimed at the group least equipped to receive it. That is not a reason to reject it — it is the condition any workable version has to meet.
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Migration asks different questions of the same systems: proving who you are across a border, sending money home, and reaching services in a language you were not expected to speak.
Real-world examples you can name
M-Pesa mobile money — launched 2007
Money is sent as a text message and cashed in or out at a local agent, so a phone becomes a bank account without a bank. Research has linked it to households moving out of extreme poverty, particularly those headed by women.
Who it affected: People with a phone but no bank branch within reach.
Aadhaar, India's biometric ID system — launched 2009; Supreme Court ruling September 2018
A national identity number linked to fingerprints and iris scans, used to authenticate access to services. The Supreme Court upheld the scheme for welfare and tax purposes but struck down its use by private companies, and reporting has linked authentication failures to people being denied rations.
Who it affected: Over a billion enrolled residents, and in particular those whose fingerprints scan poorly — manual labourers and older people.
The people still offline — ITU Facts and Figures — 2023 estimate
The International Telecommunication Union estimated roughly 2.6 billion people had never used the internet, with the gap concentrated in low-income countries and, within countries, among women, rural populations and older people.
Who it affected: About a third of humanity, who cannot reach services the rest treat as default.
What a moving population needs
- Identity that survives a border, since documents issued in one country are often unreadable in the next.
- Money that can be sent home cheaply, because fees fall hardest on the smallest transfers.
- Services in more than one language, which is a design decision rather than a translation problem.
- A route that does not assume a fixed address, which most official systems still do.
How this is tested — HL asks you to match an intervention to a specific population, and a mismatched one loses most of the justification marks. It comes up two ways:
Paper 1 Section B — extended response
- Extended response on demographic change
- Concepts named explicitly in the argument
Paper 3 — the intervention paper
- Recommend for the population in the statement
- Say why a different population would need something else
The trap: the general solution: An intervention that would suit any population suits none. Name the population, then design for its specific constraint.
Explain one reason why digital health services may not reach the older people they are designed for.
Model answer plan
See the mark-by-mark plan — for / against / judgement, with marking guidance — in study mode.
Recommend one intervention to support an ageing population using digital health services, and justify it.
Model answer plan
See the mark-by-mark plan — for / against / judgement, with marking guidance — in study mode.