Predicting flow to high-acuity services from 111: Data analysis plan

  • Research type

    Research Study

  • Full title

    Predicting flow to high-acuity services from 111: Data analysis plan

  • IRAS ID

    233618

  • Contact name

    Michael Hallsworth

  • Contact email

    michael.hallsworth@bi.team

  • Sponsor organisation

    NHS England

  • Duration of Study in the UK

    0 years, 3 months, 0 days

  • Research summary

    The Behavioural Insights Team (BIT) has been commissioned by NHS England’s Office of the Chair and Chief Executive and Research & Evaluation Team to examine why people make Emergency Departments (ED) attendances for nonurgent illnesses soon after calling the 111 service, during which they are not told by the 111 call-handler to attend ED.

    BIT will attempt to answer this question in two ways:

    1. QUANTITATIVE ANALYSIS: We will partner with a local 111 service provider and an NHS Data Services for Commissioners Regional Office (DSCRO). Each will operate as data controllers and providers. BIT will access pseudo-anonymized data-sets containing a sub-set of information collected during 111 calls (pending approval from the NHS Digital DARS Committee). This will include psuedo-anonymized data on demographic patient characteristics, call outcomes and call handlers.

    BIT will then conduct analysis on this data to determine which patient characteristics and call handler characteristics predict the outcome measure described above.

    2. QUALITATIVE ANALYSIS: After the above pseudo-anonymised data linkage is complete, we will conduct qualitative analysis of 111 call recordings. This will be done as follows:
    - We will randomly draw 200 calls from the call archives of our 111 service provider partner.
    - All of these calls will be ones where the caller was not told by the 111 call handler to go to the ED. However, we will use the linked data to ensure that half of the calls will be ones where the caller did in fact end up attending the ED, and the other half will be ones where the caller did not attend the ED.
    - We will then conduct qualitative analysis of these 200 call recordings, blinded to the outcome of whether the caller ended up attending ED.

    This project will run from August to November 2017. It will inform the design of a subsequent intervention.

  • REC name

    London - Fulham Research Ethics Committee

  • REC reference

    17/LO/1569

  • Date of REC Opinion

    29 Sep 2017

  • REC opinion

    Favourable Opinion