How Gilling Reane proved its infection control to the board

IQ early adopter · Infection control

With no external reference point, Gilling Reane couldn't tell whether its infection performance was strong or worrying. IQ gave it the comparison, the team acted, and the home moved from well below the sector average to above it in two months.

−13 +5

on the infection benchmark (an 18-point improvement)

2 months

from insight to result

Below the sector average to above

in a like-for-like sector comparison

The situation

Gilling Reane, part of the Pearlcare group, took real pride in its infection control. What it lacked was an outside reference point. The home's own records showed what was happening inside its walls, but nothing told the leadership team how that compared with similar providers. Strong, acceptable or concerning? They couldn't say with confidence, and neither could the board.

What IQ surfaced

Benchmarked against comparable homes on a like-for-like basis, IQ scored Gilling Reane at-13 on infection prevalence. The scale is -30 to +30 with a score of 0 being 'average'. Minus 13 meant Gilling Reane were well below the sector average. For the first time the home had an external number, and it wasn't the one anyone wanted to see.

What changed

The leadership team treated the score as a focal point rather than a verdict. They concentrated attention on hygiene protocols and isolation procedures, and watched the benchmark as they went. Within two months the home had moved from -13 to +5, an 18-point improvement that took them from well below the sector average to comfortably above.

Why this matters for your board

Infection outcomes are what CQC, families and commissioners look at, and what a board wants evidenced rather than asserted. IQ gives every home in your portfolio an external, like-for-like score, so "we think our infection control is good" becomes "here is where each home stands, and here is the proof it is improving".

IQ benchmarks are built on the UK's largest structured care dataset: 21 billion anonymised care notes across 8,000+ homes, around two-thirds of all UK residential care beds, with 13+ years of consistent structured data and like-for-like, dependency-banded comparison.

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