CLICS

Uses

Preparation

Comparisons

Background

Where it comes from

Highlighted claims

• CLICS was a proactive social prescribing intervention evaluated in Bradford, Yorkshire, UK. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
• CLICS was implemented in 25 inner-city GP practices covering about 150,000 patients from September 2020 to March 2024. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
• CLICS addressed wider determinants of health including financial hardship, food insecurity, mental health, disability, social isolation, debt, frailty, medication needs, and complex clinical needs. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
• CLICS differed from lighter-touch social prescribing because it was proactive, holistic, embedded in primary care, and combined community support with clinical case management. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
• Patients entering CLICS received a 45-minute Holistic Needs Assessment with an advanced nurse practitioner and a community connector. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
• CLICS patients entered community connector-led, advanced clinical practitioner-led, or jointly led pathways and co-created a personalised care plan. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach