Impact of reducing Length-of-Stay on bed requirements
There’s a chance of some funding to develop better and more timely discharges for Mental Health Inpatients. Fundamentally we would be aiming to reduce the time patients are admitted. How much would we need to reduce average length-of-stay to be able to close some inpatient beds and spend that money better in the community?
Using a combination of your recent activity and average Length-of-Stay we can produce a baseline figure for number of beds required. Then, by adjusting the average Length-of-Stay in our modelling we will see a new figure for numbers of beds required.
Our aim is to admit 95% of patients within one day of referral. (which explains why the baseline figures for the longest stays have more beds required than actual patients, with the ‘spare’ beds allowing a same-day admission 95% of the time).
Here we are anticipating the biggest reductions in Length-of-Stay where stays are longest – so, we think we can reduce the average Length-of-Stay for those stays longer than 6 months by 50% - with our improved discharge approach having a smaller and tapered impact on shorter stays (a 20% reduction in average LoS for stays less than one month).
Overall the bed requirement has reduced from 111 beds to 83 beds, enabling same day admission in 95% of cases.
As an example let’s look at the patient cohort that stays for between one and three months.
Last year we had 181 patients in this cohort, with an average Length-of-stay of 8.6 weeks requiring 40 beds.