LAMBETH COMMUNITY DATANET Making Patient Profile Data Useful – And Used?

BRIEF BACKGROUND 2002 COLLECTION OF PATIENT PROFILE PILOTED IN 9 PRACTICES IN LAMBETH PCT ROLL OUT OF PROFILING TO ALL PRACTICES STARTED 2004 PROFILE CHANGED TO 16+1 ETHNICITY CATEGORIES, QUESTIONS ON POOR VISION AND HEARING, COUNTRY OF BIRTH AND NATIONALITY ADDED TO LANGUAGE PREFERENCE, NEED FOR INTERPRETER, AND RELIGIOUS AFFILIATION DATANET PROJECT STARTS NOVEMBER 2004 (SUPPORTED BY THE GUYS+ST THOMAS CHARITY)

DATANET COLLECTION LEVELS END MAY PRACTICES TOTAL LIST ETHNICITY % ALL >16 LANGUAGE PREFERENCE % ALL RELIGIOUS AFFILIATION % ALL COMPLETE % ALL >16 HIGHEST 15 91, HIGHEST , ALL >16 208, ,

PROFILE LEVELS OF THOSE ON DISEASE REGISTERS 22 Practices combined list 147,428 % Ethnicity recorded % Complete (E/L/R) CHD Heart Failure Stroke Hypertension Diabetes COPD Epilepsy Hypothyroidism Cancer Mental Health Asthma Depression CKD Atrial Fibrillation 80 71

PROFILING IN OLDER AGE GROUPS (22 PRACTICES-LIST 147,428) AGE BANDS PATIENT TOTALS ETHNICITY RECORDED LANGUAGE RELIGION LARGE PRINT 166 (1.7%) 132(2.3%) 101(3%) 31(4%) 17(4.7%) LIP READING SIGN LANGUAGE POOR LITERACY

LINKING TO CLINICAL WORK DEVELOP THE RELEVANCE OF PROFILE COLLECTION AND USE FOR FRONT LINE CLINICIANS DATANET CONTRACT FOCUS MODULE (DEVELOPED BY QUALITY MEDICAL SYSTEMS) USES PRE-WRITTEN MIQEST QUERIES LINKING QOF ACHIEVEMENT TO PROFILE DATA AT INDIVIDUAL PATIENT LEVEL LINKS ETNICITY AND OTHER PATIENT CHARACTERISTICS TO LONG TERM CONDITION MANAGEMENT TOOL FOR PRACTICES - POTENTIAL TO AGGREGATE DATA

NO NEUROPATHY SCREEN - BY LANGUAGE

HbA1c >10 - BY ETHNICITY

HbA1c >7.5 - BY RELIGIOUS AFFILIATION

HYPERTENSIVES BP >145/80 - BY ETHNICITY

CURRENT USE OF THE PROFILE DATA FORWARDING PROFILE WITH REFERALS PRACTICE LEVEL USE – ANALYSING A+E ATTENDEES BY LANGUAGE PREFERENCE – TARGETING VITAMIN D DEFICIENCY CASE FINDING USING LANGUAGE DATA TO SUPPORT PUBLIC HEALTH MESSAGES EQUITY AUDIT – CVD RISK FACTOR DATA EXTRACTION RESEARCH

CHALLENGES NEED TO ESTABLISH THE UTILITY OF THE DATA AT LEVEL OF CLINICAL CARE MAINSTREAM SUPPORT FOR DATA USE DEFINE AND REWARD CULTURALLY COMPETENT HEALTH CARE DELIVERY ‘DRIVE’ THE AGENDA DEMONSTRATE BENEFITS TO USERS EXTEND CURRENT MODELS