MODEL NEIGHBOURHOOD

Your model neighbourhood is already up and waiting

For every Primary Care Network in England, Joy has already sized the whole neighbourhood model: the demand target, the link-worker layer, the community services split, and the acute activity you could avoid. Tell us your PCN and we will send you a personal link to see it live.

See my neighbourhood

What the model shows, out of the box

This is the page section by section, shown as illustrations for a fictional inner-city neighbourhood of about 34,000 people. The names and figures are made up, but the layout and logic match what the tool produces. Your own page computes every number live for your PCN, from the real evidence in the Joy estate.

01

Local context, drafted from the area's own evidence

The page opens with a narrative of the neighbourhood: population, deprivation, health need and current activity, drafted from public data and the live Joy estate. Every figure links back to where it came from. Illustrated here for a fictional PCN.

Illustration of the local context panel: a narrative summary of a fictional neighbourhood's population, deprivation and health need

02

Healthy years: the gap the model is aiming at

Life expectancy and healthy life expectancy for the area against the national picture: the years lived in poor health that a neighbourhood service is trying to win back.

Illustration of the healthy years panel: life expectancy and healthy life expectancy for a fictional neighbourhood compared with national figures

03

Goals: the Triple Aim, localised

Three outcome goals grounded in the area's own numbers (inequalities, outcomes, acute cost), each with evidence, a quantitative target and the shift-care-left strategy that ties them together.

Illustration of the goals panel: three localised Triple Aim objectives with evidence, sources and quantitative targets

04

People: who leads this neighbourhood

Web-researched leadership for the PCN: clinical director, GP partners and managers per member practice, each row showing its public source. Illustrated here with made-up names; your page shows the real people.

Illustration of the people panel: a table of fictional local leaders per practice, each with role and public source

05

Referral flows: practices, referral routes, services

A modelled target-state flow map: each practice's referral demand passes a middle column of the routes that refer into the neighbourhood (link workers as the social-prescribing hinge, alongside self-referral, social care, mental health and hospital teams) and fans out across the recommended community services by need category.

Illustration of the referral flows panel: modelled flow diagram from practices past a middle column of referral routes, including link workers, to community service need categories

06

Demand side: the member practices, from open data

Published NHS, OHID, MHCLG and CQC open data rolled up into the neighbourhood's demand fingerprint: list sizes, deprivation, disease burden, workforce pressure and patient experience per practice.

Illustration of the demand side panel: per-practice open-data table with list size, deprivation, disease registers, workforce and patient experience, with fictional practices

07

The demand target

How many people this neighbourhood should aim to connect to local services each year, benchmarked against the whole live Joy estate and indexed to local need.

Illustration of the demand target panel: people reached per year target with network median, top decile and best observed benchmarks

08

The link-worker layer

The held-caseload capacity the target implies (full-time equivalents at a realistic cases-per-FTE), alongside the direct-to-service referrals the platform routes without a held case.

Illustration of the link worker panel: full-time-equivalent link worker capacity and direct platform referrals per year

09

Nine evidence-backed service categories

Where the referrals go: nine categories with weights for this area's archetype, each backed by an internal signal from the Joy network and external evidence, with real nearby services listed under each.

Illustration of the service categories panel: nine evidence-backed categories with weights, people per year, evidence notes and fictional nearby services

10

Impact: what the model avoids

The acute activity the modelled service would avoid (GP contacts, A&E attendances, fit notes), with the attribution band shown in full.

Illustration of the impact panel: modelled avoided GP contacts, A&E attendances and fit notes with attribution bands

11

Return on investment

What the model costs per patient supported and what it returns in avoided acute demand over two years, showing the range around each figure, not only the headline.

Illustration of the return on investment panel: cost per patient, avoided acute demand per patient and two-year return multiple

12

Honest caveats

The page closes with its limitations: what is measured, what is modelled, and where the uncertainty sits. Every number on the live page traces back to its source.

Illustration of the honest caveats panel: plain-language list of the model's limitations and uncertainty

These panels are illustrations of the Model Neighbourhood page, drawn to match the product with fictional practices, services, people and figures. Every number on the live page can show its workings, down to source system and field.

Three neighbourhoods, three different models

The model is not one-size-fits-all: it reads each area's population, deprivation and current activity, then sizes the service that fits. These are three real neighbourhoods where Joy runs today, anonymised by rounding. The network's best neighbourhood already reaches more than 7% of its population every year.

BASED ON A TRUE STORY

An east London PCN

High deprivation, strong install base, big headroom

TODAY

Population

≈59,000

People reached / yr

≈1,700

Reach

≈2.9%

MODELLED

Target reach

6.1% (need-indexed)

People reached / yr

≈3,600

GP and A&E contacts avoided / yr

≈4,100

One of the most deprived boroughs in the country, with JoyConnect devices already installed across its practices. The model shows the headroom as usage steps up to the need-indexed target.

Real figures from a live Joy neighbourhood and its need-indexed model, rounded so the area stays anonymous. Avoided contacts use the conservative attribution band.

BASED ON A TRUE STORY

A market-town PCN in the North West

Established service, within reach of target

TODAY

Population

≈32,000

People reached / yr

≈1,200

Reach

≈3.7%

MODELLED

Target reach

4.7% (need-indexed)

People reached / yr

≈1,500

GP and A&E contacts avoided / yr

≈1,700

A mature social prescribing service embedded in general practice, already referring within sight of its target. The model sizes the next step: modest extra link-worker capacity concentrated on the highest-need practices.

Real figures from a live Joy neighbourhood and its need-indexed model, rounded so the area stays anonymous. Avoided contacts use the conservative attribution band.

BASED ON A TRUE STORY

A commuter-belt PCN in the South East

Lower deprivation, targeted model

TODAY

Population

≈32,000

People reached / yr

≈640

Reach

≈2.0%

MODELLED

Target reach

3.2% (need-indexed)

People reached / yr

≈1,000

GP and A&E contacts avoided / yr

≈1,150

Among the least deprived areas nationally, with pockets of real need. The model sizes a leaner, targeted service rather than copying what a high-deprivation area would run.

Real figures from a live Joy neighbourhood and its need-indexed model, rounded so the area stays anonymous. Avoided contacts use the conservative attribution band.

See the real thing for your own PCN

Your neighbourhood is already modelled and pre-warmed on the live Joy platform. Request your link and open it in minutes.

  • Search for your Primary Care Network by name.
  • Enter your NHS or public sector email address.
  • We email you a personal link, live for 30 days, pinned to your neighbourhood.

For NHS and public sector teams: we can only send links to nhs.net, nhs.uk or gov.uk addresses. The Joy team may follow up personally about your neighbourhood.

Get your neighbourhood

We use your work address (nhs.net, nhs.uk or gov.uk) to send your personal link. No password, no sign-up.

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