Using Primary Care Data for ‘Real Time’ Health Protection Surveillance

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Using Primary Care Data for ‘Real Time’ Health Protection Surveillance

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Using Primary Care Data for Real Time Health Protection Surveillance Gillian Smith on behalf of primary care surveillance team UK work Birmingham all the ... –

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Title: Using Primary Care Data for ‘Real Time’ Health Protection Surveillance


1
Using Primary Care Data for Real Time Health
Protection Surveillance
  • Gillian Smith on behalf of primary care
    surveillance team

2
UK work
3
Birmingham all the Bs
Bullring
Bilbo Baggins
Baltis
4
Outline
  • Why do we need real time surveillance?
  • What primary care systems could we use?
  • Two examples of primary care systems used in the
    UK
  • NHS DIRECT
  • QRESEARCH
  • How have these systems been used in heat related
    illness?
  • Discussion about way forward

5
Why do we need health protection surveillance in
primary care?
  • Clinical diagnoses made by GPs (and symptoms
    reported to NHS Direct) offer the ability to
    systematically monitor a variety of
    syndromes/symptoms which could give early warning
    of a health protection issue (microbiological/chem
    ical/radiological)
  • To monitor milder illnesses which may not present
    to hospitals
  • To monitor illnesses for which laboratory
    specimens not taken ( e.g. influenza,chicken pox)
  • Assess burden of of infection in primary care
  • To assess impact of health protection policies in
    primary care
  • To reassure that there has not been an increase
    in symptoms in the community

6
Overview of surveillance systems in UK
  • Pre primary care based on reported symptoms (
    NHS Direct)
  • Spotter schemes based on consultations (e.g.
    RCGP)
  • GP databases ( e.g. GPRD and QRESEARCH)

7
Why real time surveillance?
8
Why real time surveillance?
9
Why real time surveillance?
10
Why real time surveillance?
11
Principles of work
  • In collaboration with colleagues working in
    primary care
  • Work on syndromes which may be related to
    infection, chemicals or environmental causes
    therefore across the HPA
  • Focus on areas where primary care data can
    provide added value to the overall picture

12
Background to NHS Direct
  • NHS Direct is a telephone health help line.
  • Open 24 hours a day, 365 days a year
  • Aims to provide the public with health
  • advice and information
  • First introduced in 1998, providing a
  • service in 3 pilot areas
  • Now service covers the whole of England and Wales
  • 22 sites covering 2.5 million people each

13
Aim
  • The aim is to identify an increase in symptoms
    that may be caused by the deliberate release of a
    biological or chemical agent, OR MORE COMMON
    INFECTIONS/ HEALTH PROTECTION ISSUES

14
How the project works
NHS Direct site 1
NHS Direct site..
NHS Direct site...
NHS Direct site 22
Data collection
NHS Direct National Operations Centre
Health Protection Agency West Midlands Regional
Surveillance Unit
Analyses
Health Protection Agency
Other agencies
Dissemination
NHS Direct sites
Health Protection Units
Department of Health
NHS Direct National Team
PCTs/SHAs
15
Data collection
  • Call data on 10 key symptoms/syndromes are
    transferred each week day from the 22 call
    centres (covering all of England Wales) to the
    Health Protection Agency at West Midlands
  • Cold/flu Cough Fever Difficulty breathing
  • Vomiting Diarrhoea
  • Double vision Eye problems Lumps Rash
  • Heat stroke monitored during summer months
  • Call data are broken down by site, symptom,
    age-group and call outcome
  • Further details of individual calls including
    postcodes can be requested if needed

16
Analysis - control charts
  • Control charts constructed for 6 algorithms for
    10 sites (major urban centres).
  • Model constructed assuming the Poisson
    distribution using the Gamma distribution to
    account for over-dispersion.
  • Incorporate a bank holiday and seasonal factor
    with a day factor and time trend factor included
    if required.
  • 99.5 prediction limits are calculated for each
    day. The prediction limit for the "future" is
    based on the average number of total calls
    to-date.
  • 99.5 upper prediction limits are also
    constructed for the remaining sites and
    algorithms (where control charts are not
    available) using standard formula (bank
    holiday/day/time trend factors not included).

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(No Transcript)
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Proportion of NHS Direct fever calls (5-15 year
age group) by region
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Benefits of daily call data
  • Provided an early indication of a rise in illness
  • Surveillance of children not necessarily visiting
    GPs or hospitals
  • Response to media - confirmation of regional
    levels
  • Daily reporting when needed
  • Ongoing monitoring

20
NHS Direct callers self-sampling study 2004/05
  • Aims of study to answer the following questions
  • 1) Can self-sampling by callers to NHS Direct
    give early warning of an increase in influenza
    activity in the community?
  • 2) Does self-sampling by callers to NHS Direct
    provide added value over existing surveillance
    systems for influenza?
  • 3) What are the implications of introducing
    selfsampling for influenza testing to NHS Direct
    callers and to the NHS Direct service?
  •  
  •      

21
Sampling 2004/2005
  • November 2004 February 2005 NHS Direct callers
    (gt15 yrs) in Hampshire, West Midlands and South
    Yorkshire reporting cold/flu were recruited by
    NHS Direct nurses
  • Each caller was sent specimen kits containing 2
    nasal swabs, viral transport medium, instructions
    and information, packaging and a pre-paid reply
    envelope
  • Callers were asked to return kits to the HPA
    virus lab samples were tested by multiplex PCR
    for Influenza and RSV viruses, and if ()
    cultured for viable virus isolation
  • Results were sent back to national influenza
    surveillance team within the HPA CfI and to the
    NHS Direct callers

22
Sampling method
23
Results
  • Response rate 294 kits sent out - 142 samples
    (48) returned
  • Positivity rate 23 of 142 samples (16.2) tested
    positive for influenza viruses. Positivity was
    30-40 during peak weeks
  • Influenza 23 samples
  • Influenza A (H1N1) 3
  • Influenza A (H3N2) 16
  • Influenza B 4
  • RSV 8 samples
  • Positive samples included the 2nd community
    sample of influenza A (H1N1), 4th of influenza A
    (H3N2) and 1st influenza B sample received by the
    ERNVL during the 2004/2005 influenza season.
  • 7 of 141 callers reported minor problems in
    taking swabs 
  • Average time from NHS Direct call to result was 7
    days

24
Conclusions from sampling project
  • Self-sampling by NHS Direct callers provided
    early warning of influenza circulating in the
    community and detect multiple strains of the
    virus
  • The added value of the scheme may lie in
    providing early warning of influenza rather than
    ongoing surveillance throughout the entire season
  • Despite spending on average a week in transit the
    samples provided good viability for antigenic
    characterization (virus growth by culture) as
    well as for molecular detection
  • Proof of concept that the NHS Direct community
    sampling tool can provide high quality and timely
    samples

25
HPA/Nottingham University Surveillance Project
26
HPA/Nottingham University Surveillance Project
What is QRESEARCH?
  • A non-profit making, nationally representative
    sample of volunteering general practices (500)
    who use EMIS general practice computer systems
  • Includes data on 8.2 million patients (4 m
    current)
  • Some practices have up to 10 years of historical
    data on the database
  • Patients and practices within the database are
    completely anonymous no personal/practice
    identifiers are recorded
  • QRESEARCH added value lies in the ability to
    link to prescribing data and to undertake
    analyses using socio-economic data (Census,
    Townsend, IMDS, Rurality score etc) uploaded to
    the patient records

27
HPA/Nottingham University Surveillance Project
QRESEARCH FILESERVER IN NOTTINGHAM
EMIS FILESERVER
Episodic data transfers
GENERAL PRACTICE TEAM
Download of all coded data and then daily
downloads
Extraction of subsets for researchers morbidity
analyses
Recruitment and informed consent
Activation of QRESEARCH
GP PRACTICE CLINICAL COMPUTER
QRESEARCH TEAM IN NOTTINGHAM
28
HPA/Nottingham University Surveillance Project
What is it?
  • In April 2004 received funding from HPA for a two
    year pilot project - project now extended to
    March 2008 and funding provided for daily data
    provision ( influenza indicators)
  • Aim to investigate the feasibility of providing
    weekly surveillance data and using the QRESEARCH
    database for a number of strategic projects

29
HPA/Nottingham University Surveillance Project
routine outputs
  • Pilot Weekly Bulletin launched on 11th November
    2004 with three key indicators influenza-like
    illness influenza-like illness with anti-virals
    prescribed vomiting
  • Each week the bulletin includes a key messages
    section, highlighting changes to the indicators
  • Gradually extended indicators
  • Widened distribution of bulletin in July 2005
  • Evaluation of usage by HPA and NHS to be
    conducted in 2006/07

30
Key indicators monitored weekly (could be
monitored daily)
  • Influenza-like illness
  • Pneumonia
  • Severe asthma
  • Wheeze
  • Vomiting
  • Diarrhoea
  • Gastroenteritis
  • Mumps
  • Measles
  • Pertussis
  • Heat stroke
  • Influenza-like illness with anti-virals
    prescribed
  • Uptake of influenza vaccine
  • Proportion of those under 5 years with diarrhoea
    prescribed re-hydration therapy
  • Impetigo and the proportion treated with fusidic
    acid

31
The weekly bulletin
  • Weekly bulletins are produced every week
    including over Christmas and New Year
  • Includes data for the previous week for a set of
    key indicators which are presented at UK,
    country, region and SHA level

Insert Image
32
HPA/Nottingham University Pilot Surveillance
Project routine outputs
UK GP consultation rate (per 100,000) for
Influenza-like illness, 2005/6
Source QRESEARCH weekly outputs
33
HPA/Nottingham University Pilot Surveillance
Project routine outputs
UK GP consultation rate (per 100,000) for
Influenza-like illness with anti-virals
prescribed, 2005/6
34
HPA/Nottingham University Pilot Surveillance
Project routine outputs
GP consultation rate for influenza-like illness
by Region (rate per 100,000) 2005/6
Source QRESEARCH weekly outputs
35
Buncefield incident
  • Able to provide information
  • on consultations to SHA
  • level (and PCT)
  • Able to monitor range of conditions (as per
    bulletin)
  • Switched on daily reporting and piloted
    extended flu data set
  • No unusual increase in respiratory or complaints
    e.g. asthma etc.
  • Able to provide data real time to incident
    team

36
Pandemic influenza planning
  • Data required daily now have capability to do
    this for weekdays (can be switched on in two
    days)
  • Can provide data to PCT level
  • Extended dataset for influenza related conditions
    and prescribing (QFlu available on 17 million
    patients)
  • QFlu has practices from every SHA in England and
    from 292 out of 303 PCTs
  • Can provide data on UK ( 30 overall - though
    under- represented in Scotland)
  • included in bulletin in last few weeks

37
So what has happened as a result of your work?
  • EARLY WARNING AND TRACKING OF RISES IN LLNESSS IN
    THE COMMUNITY
  • Part of influenza surveillance system and DH
    heat health watch project (exploring utility
    for environmental monitoring)
  • Ability to detect sudden rise in
    symptoms/syndromes in the community, both at a
    national, regional level and now local level (
    e.g. norovirus, influenza like illness)
  • Able to provide weekly uptake estimates for adult
    vaccinations
  • Only national daily surveillance system in UK and
    only national surveillance system using a health
    help-line in the world
  • PROVIDING REASSURANCE DURING TIMES OF PERCIVED
    HIGH RISK
  • e.g. Ricin incident , London bombings and
    Buncefield data used by incident teams and
    quoted publicly by HPA
  • MONITORING OF HEALTH PROTECTION POLICIES
  • e.g. use of antibiotics post SMAC report -
    increase in three day courses (compared to longer
    course) of trimethoprim for UTIs)

38
Summary So what has happened as a result of
your work? (contd.)
  • EXERCISES
  • Daily data used regularly in Exercises ( e.g.
    heat wave, bioterrorist and influenza) and
    provided only consistent daily data feed for
    Exercise United Endeavour
  • PANDEMIC INFLUENZA PLANNING
  • Helped in stopping proliferation of local
    spotter practice schemes ( as part of influenza
    pandemic planning) to monitor FLI - will be
    provided in consistent and standard way
  • Able to provide information on where anti-virals
    being used for FLI
  • NHS Direct can provide an alternative source of
    specimens if needed (from patients directly)
  • Provided daily data for modellers
  • PEER REVIEWED PUBLICATIONS

39
August 2003 Heat-wave
Temperature distribution across Europe on 10
August 2003 at 1500hrs British Summer Time
40
Heat-health watch
  • Heatwave plan for England and Wales - Summer 2004
  • By the time a heatwave starts the window of
    opportunity for effective action is very short
    indeed
  • The HPA, in collaboration with NHS Direct, will
    refine mechanisms for the surveillance of
    increased heat-related illness with the aim of
    being able to provide daily real-time reports to
    the Department of Health.
  • These will provide a source of intelligence on
    (a) how severe the effects are, and (b) how well
    services are responding.
  • DH - Heatwave Plan - 2004 dataNHS Direct Met
    Office

41
Published by Department of Health26 July 2004
http//www.dh.gov.uk/PublicationsAndStatistics/Pub
lications/
42
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43
HPA responsibilities
44
Heat Watch Plan NHS Direct surveillance
45
Surveillance summer 2005
46
Surveillance summer 2005
47
Surveillance summer 2005
48
So what about heat related work?
49
Is there utility and if so how might we improve
this?
  • Can primary care data provide any added value
    in either early detection of health problems or
    assessing size of health problems?
  • What morbidity indicators would be useful? now
    ability to look at more unusual endpoints
    (neurological)
  • Can we be clever in our prescribing linked to
    morbidity indicators?
  • ?? Select risk groups for ongoing surveillance
    (able to do so with new GP system)
  • When should we switch on daily reporting?

50
The English Summer!?
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