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SPARRA

SPARRA. Lorna Jackson Head of Programme Long Term Conditions Information Programme. What is SPARRA?. S cottish P atients A t R isk of R eadmission and A dmission. SPARRA is an algorithm for predicting a patient’s risk of emergency inpatient admission to an acute hospital in a particular year.

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SPARRA

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  1. SPARRA Lorna Jackson Head of Programme Long Term Conditions Information Programme

  2. What is SPARRA? • ScottishPatientsAtRisk ofReadmission andAdmission SPARRA is an algorithm for predicting a patient’s risk of emergency inpatient admission to an acute hospital in a particular year

  3. SPARRA the ISD service • Risk Scores generated for all relevant patients (SMR1) • Customers at Board, CHP & practice level receiving data relating to their populations • Aggregated • Distribution of risk scores • Characteristics of risk categories • Patient-level • Patient listing with ID, risk scores & factor values • Threshold option • Quarterly updates • NHS email/encrypted email/CD/Navigator

  4. SPARRA – Summary of Current Usage SPARRA is being used to identify and selects patients suitable for • Further case management or coordination (dedicated case managers or otherwise) • GP-lead Local Enhanced Services • Diseases-specific (eg COPD) or more generic • Further assessment/reviews/referral • Anticipatory Care/Self- Management Plans • Sharing of information eg A&E, Out of Hours

  5. Example – North Ayrshire CHP Enhanced Service for COPD /LTC patients Main Features • GP and DN involvement • SPARRA scores for high-risk patients shared with CHP • Practice-based patient registers (>60% risk or >50% & COPD) • Assessment (including SSA)/Multi-disciplinary review of care • COPD • Individualised exacerbation self-management plan • Assessment/referral to pulmonary rehabilitation • Significant-event analysis • Flagging and sharing of information with NHS24, ADOC , A&E • Alerts on supporting IT systems/Identification of Case manager

  6. Use of SPARRA – key points SPARRA can be used to identify a cohort of patients with a high risk of further admission • Often these patients have already entered a cycle of repeat admissions • Further admissions for some may not be preventable • Patients have multiple LTCs • Some are close to death & so their requirements are different • Should always be linked and used in conjunction with local data/intelligence

  7. Development of SPARRA Short-term • New ‘All ages’ algorithm developed • Original modelling work repeated/improved on a recent national ‘all-ages’ cohort • Still based on patients hospitalisation history / largely same factors • Will identify 2 x high risk patients (28% more 65+) • To become operational January 2009 • Functionality to distinguish those ‘newly’ identified from ‘previous’ cohort Longer-term • A tool applicable to a wider cohort (eg entire registered population) • Incorporation of other risk factors/datasets eg primary care, prescribing • Big challenges are finding suitable datasets • Nationally comprehensive • Real-time • Data-sharing issues

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