IAPT Commissioner Data Web-ex Monday 23 rd February – 2.30pm

Welcome Slide Due to the large number of attendees, all microphones have been muted Please submit questions via the typed chat window at any time –Questions will be answered during the presentation by HSCIC analysts or via to all participants after the WebEx 2

IAPT reporting – HSCIC data Presented by: Will Adam

Background IAPT data set flowing since April 2012 IAPT KPI collection retired at end 2012/13 First annual report from dataset, January 2014 (2012/13) Second annual report September 2014 (2013/14) Monthly and quarterly reports from IAPT data set evolved to cover data quality, activity and more complex calculations 4

New HSCIC IAPT homepage Central location for all publically available HSCIC IAPT content Links to all publications and reference information 5

Current publications Monthly –Data quality measures –Basic activity by CCG Quarterly –Range of activity measures by provider and commissioner (including entering treatment and recovery) –Supplementary files  Key measures for access and recovery by CCG, by month  Recovery by problem descriptor by CCG and provider 6

Scheduled new reports New monthly release from April 2015 (covering January data) –Quarterly supplementary file in monthly release (first in July 2015) Q3 2014/15 will be the last quarterly release (due April 16 th ) Provides full range of data in a more timely manner, CCG/provider level data, including new 6 and 18 week waiting time measures. Covered by April WebEx 7

IAPT reporting – Data processes and Data Quality Presented by: Paul Ellingham

Route of Data 9

Mental Health and Community Care Processes 10

OpenExeter Bureau Service Portal Providers must have access to the portal Commissioners should apply for access –Download post-deadline extracts  Check counts of people, referrals, appointments  Look at distinct providers submitting your CCG code as ORGCODECOMM  Using published measure and derivation constructions, can closely replicate published figures 11

Sources and Timeliness of Data 12

Provider data to CCG vs published data Potential reasons for difference: –KPIs –Live System vs Snapshot –Data Quality –Suppression of publications 13

Data Quality How can Commissioners engage with their providers around Data Quality? –Request to see DQ notices –Check published DQ information for your providers –Liaise with HSCIC 14

Provider Data Quality Notice 15

Core DQ Measures On-submission to Portal –Rejections and Warnings –Summary report From DQ Notice –DQM02 - Missing Appointment Table –DQM14 - Organisation Code of Commissioner field –DQM23 - Appointment Purpose field –DQM108 - Pathway Continuity (end dates should be populated in a timely fashion) DQM = Data Quality Measure – see help text on DQ Notice 16

New Product - PAVE Processing Exeter Extracts time consuming IC_ derivations are complex Provider Analysis Validation Extract –Record-level extract with a flag for each of the key measures –Final data –Easier for providers to match published figures –Currently in development and testing 17

PAVE Sample 18

Frequently asked questions - Reporting Presented by: Will Adam

Recreating published figures Guide available on our web page Use Post-deadline extracts –Available from Exeter BSP Recreate IC_Derivations –Do not recommend using derivations on extracts 20

Derivations and Constructions Derivations are fields created by HSCIC to aid processing –Begin with “IC_” Constructions are the logic used to create measures within reports –List fields used, including derivations Recreate derivations before attempting constructions 21

Key derivations - IC_PATHWAY_ID Allows a referral to be traced across submissions All activity measures are a count of unique IC_PATHWAY_IDs “Incremental value assigned to new SERVICEID and IAPT_PERSON_ID combinations. If such a combination has been received in a previous reporting period the record is assigned the same IC_PATHWAY_ID value” 22

Key derivations - IC_USE_QTR_REFERRAL_FLAG Identifies which records should be used for quarterly figures - up to 3 referral records each month Uses most recent details “IC_USE_QTR_REFERRAL_FLAG = 'Y' where RANKING = 1 (highest ranked referral instance based on the following subset) Partition referrals by QUARTER_ID and A.IC_PATHWAY_ID and order by MONTH_ID descending The top ranked referral is assigned a flag” 23

IAPT_PERSON_ID Not listed in post-deadline extracts or as an IC derivation Anonymisation that occurs on submission Tries to match person records on any of following combinations: –NHS number, (date of birth - 2 out of three element match) –Local patient ID and full DOB –Postcode, date of birth If not matched, incremental number 24

Calculating access figures Government target is 15% Numerator is the number entering treatment –Line 5 of quarterly reports –Also available in monthly activity reports Denominator is prevalence figure calculated locally by CCGs, based on 2000 Psychiatric Morbidity Survey Treatment appointment definition updated in version 1.5 –Used to be based on therapy type –Now based on appointment purpose 25

Calculating access figures COUNT of distinct IC_PATHWAY_ID WHERE IC_USE_QTR_REFERRAL_FLAG = 'Y' AND IC_DATE_FIRST_THERAPEUTIC_SESSION is between the period start and end dates or is null IC_DATE_FIRST_THERAPEUTIC_SESSION Earliest appointment in a referral which had an appointment type of 02 - Treatment, 03 - Assessment and treatment or 05 - Review and Treatment, and that was attended (attendance code of 5 or 6) 26

Calculating waiting times Time in days between referral received and entering treatment Reported as all referrals that entered treatment in RP by IC_DATE_FIRST_THERAPEUTIC_SESSION – REFRECDATE Grouped by <=29, 29-56, and 90+ days Future reports <6 and <18 weeks 27

Calculating recovery… One of more complicated measures In simple terms: referrals recovered / (referrals finished treatment – referrals not at caseness) OR line 15 / (line 8 – line 16) Full detail is available in our FAQ guide 28

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