Better Care Fund VCSE analytics is the structured use of data dashboards to evidence a VCSE organisation’s contribution to the Better Care Fund’s headline metrics — non-elective admissions, delayed discharges, and long-term care admissions. Quematics builds BCF analytics platforms for VCSEs using Microsoft Power BI, connecting existing case management systems to longitudinal outcome tracking and population comparison reporting.
The BCF was reformed for 2026 to 2027, shifting accountability from process to outcomes. Three headline metrics drive BCF accountability: non-elective hospital admissions for people aged 65+, delayed discharges against Discharge Ready Dates, and long-term residential care admissions per 100,000 population. VCSEs delivering prevention, intermediate care, and discharge support directly affect these.
What are the three BCF headline metrics?
Non-elective admissions (65+) — VCSEs delivering falls prevention, frailty support, and social prescribing reduce emergency admissions. Delayed discharges — VCSEs delivering step-down and reablement support reduce discharge delays. Long-term care admissions — VCSEs delivering community prevention and carers support delay residential placements.
How do VCSEs evidence prevention outcomes for BCF?
Three components: Longitudinal individual tracking at 3, 6, and 12 months. Validated outcome measurement — EQ-5D, WEMWBS, Barthel Index, FRAT, Caregiver Strain Index. Population comparison using NHS England benchmarks.
How Quematics builds BCF analytics for VCSEs
BCF mapping, system configuration for outcome capture, dashboard build with Power BI, training. See VCSE commissioning analytics and commissioner-ready reporting.
Frequently asked questions
What is the Better Care Fund?
The national programme for integrating health and social care budgets. VCSEs delivering prevention and discharge services contribute to BCF headline metrics.
What are the three headline metrics?
Non-elective admissions (65+), delayed discharges, and long-term residential care admissions per 100,000 population.
How to evidence prevention outcomes?
Longitudinal tracking, validated PROMs, and population comparison against NHS England benchmarks.
Which outcome measures for BCF?
EQ-5D, WEMWBS, Barthel Index or FRAT, and Caregiver Strain Index — agreed with commissioner at contract stage.
Can Power BI produce population comparisons?
Yes. Incorporating published benchmarks and linking with ICB or local authority datasets where data sharing agreements exist.
How does Quematics build BCF analytics?
BCF mapping, system configuration, Power BI dashboard build with longitudinal tracking, and VCSE team training.
Build your BCF evidence base
Contact us for a free BCF review. Visit gov.uk Better Care Fund.