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Disease Registers Dr John Newton
Consultant Epidemiologist, Unit of Health-care Epidemiology University of Oxford
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Quality in the NHS depends on competence
Knowledge Competence Structures
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High Quality Health Care
Education, Training, CPD, Information, Libraries, R&D High Quality Health Care Clinical Governance, Controls Assurance, Learning Organisation, IT, Clinical Audit, User involvement, Learning Hospital, etc…...
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Source: BMJ 2003;326:
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Ophthalmology Waiting List:
Analysis using survival analysis waiting time 800 600 400 200 -200 Cum Survival 1.2 1.0 .8 .6 .4 .2 0.0 -.2 procedure group other procedures DCR trabeculectomy squint surgery vitrectomy lens surgery
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“We will strengthen the information base on
chronic diseases in the population by establishing a series of disease registers in different parts of the country.” Saving Lives: our healthier nation July 1999
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maintain registers of those at greatest risk
“primary care trusts will identify and maintain registers of those at greatest risk from serious illness - concentrating particularly on areas where ill health is most prevalent – so that people can be offered preventive treatment” (NHS Plan, paragraph 1.6).
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Registers identified 234 registers
Contacted 117 of which 70 provided complete data
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Types of register identified
Specific diseases 31 Cancer 29 Diabetes 27 CHD Congenital anomalies 22 Cerebral palsy 8 HIV 6 Cystic fibrosis 5 Interventions 5 Mental health 5
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Some specific disease registers
Ankylosing Spondylitis Register Brittle Bone Disease Register Central Register of Systemic Sclerosis Patients Childhood Fatigue Register Conn's Syndrome Register (primary hyperaldosteronism) Cystinosis Register Duchenne Muscular Dystrophy European Neuronal Ceroid Lipofusinosis (Battens disease)
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Generic registers Biobank Target population
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Uses of registers 1 Patient care regular review and recall
structured care programmes monitoring high risk groups managing demand / regulating access communication risk stratification
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Uses of registers 2 Public Health surveillance
planning the provision of health care monitoring the burden of ill health monitoring the impact of prevention
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Uses of registers 3 Technology assessment Research descriptive studies
improving the performance of clinical trials studies of process hypothesis testing when trials are not available
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National audit of thalassaemia screening using UK registers
Ethnic Group No. of cases (%) offered screening Cypriot (92) Indian 46 (63) Pakistani 76 (51) Bangladeshi 7 (35) Modell B, BMJ 2000
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Service and research registers compared
Service use Accuracy and timeliness are important Value determined by number of cases Internal consistency is important Patients can opt out if they wish Subjects need access to their own information on demand Research use Accuracy and completeness are important Value from a representative group and adequate power Internal and external consistency important Non-consent is a problem for the whole register costs of analysis and reporting should be considered
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Issues raised in the study
Definitions Need for evaluation Standards of good practice Costs and funding sources Privacy and confidentiality Service or research or both? Appropriate population levels
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The “IEA definition” Register: In epidemiology the term register is applied to the file of data concerning all cases of a particular disease or other health-relevant condition in a defined population such that the cases can be related to a population base. Last, 1995
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Features of registers People not events
People registered having something in common Information held is systematically updated Register is based on a defined population Donaldson, 1992
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Characteristics of a good register
appropriate multidisciplinary team stable funding focused aims data collection systems and design that relate well to function relevant leadership Pryor, 1985
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Evaluation of a register should include
public health importance systems and objectives uses and outputs evaluation against eight attributes resources used system meeting its objectives
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Assessing validity Completeness Validity death certificate method
independent case ascertainment historic comparisons Validity diagnostic criteria re-abstracted data internal consistency
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I want to set up a register
Expert Group & Steering Group Notify the Information Commissioner Ethics approval Arrange access to data Data security Accountability Publicity
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“The temptation to collect information is hard to resist.”
Weddell, 1973
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Fundamental considerations
Case definition Case ascertainment Identification of duplicates Follow up Consent
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Number of Tayside residents with known diabetes who were identified independently by each data source used in electronic record linkage Type of treatment Source of data Insulin Oral Diet Encashed prescriptions Hospital diabetes clinics Young adult/paed. clinics Mobile eye unit Biochemistry database Hospital discharge diag Total
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Satisfying the DPA 98 General awareness of uses of personal health data Cogent reasons for not obtaining consent Necessary for a legitimate “medical” purpose Data controller should be a medical practitioner or owe an equivalent duty of confidence to the data subject
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Satisfying the common law duty of confidentiality
Personal data should only be disclosed with consent where the law requires it if it is in the public interest to do so
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Consent “any freely given specific and informed indication of his wishes by which the data subject signifies his agreement to personal data relating to him being processed.” EC Directive 95/46/EC
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Human beings have a right to privacy in a humane society but this right is not absolute in either an ethical or a legal sense. Adapted from Higgs, 1996
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Why not get consent? Disproportionate effort bias against ill disabled
disadvantaged busy
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Registers need identifiable data
To avoid double-counting To link cases over time - follow up For validation To link to other databases
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PERIC results 3921 adults in GB
Asked to assess a selection of vignettes (n=10) How happy to allow access to their records? 2.1% of respondents were unhappy with all vignettes 11.6% of all responses were “unhappy”
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“The only correct method of handling persons lost to follow-up is not to have any.”
Dorn, 1950
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How much do registers cost?
from CJD - £1.2 million pa Cardiac intervention database - £500,000 pa to Osteogenesis Imperfecta - research fellow half a day per week
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Which registers to fund?
adequate quality important problem avoid duplication exploit economies of scale generic registers - “just in case” funding according to function long term funding
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Recommendations National strategy
recognition of different purposes establish agreed standards system for appraisal rational resource allocation Public Health Observatories to collate and evaluate registers
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Recommendations National co-ordinating centres to: develop methodology
provide advice to local registers develop data standards for common diseases practical support (questionnaire design etc.) quality assurance collate information at national level
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Recommendations The NHS should establish a research infrastructure funding programme, together with other sponsors, that could fund appropriate research registers. How much is needed? £200k pa x 10 £50k pa x 60 i.e. about £5 m pa in total
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Conclusions Useful but obscure literature
Registers have a lot to contribute Over 250 “registers” in England Terminolgy confused, quality variable Fragmentation of policy & strategy Need for expert resource No rational funding system Uncertainty over data protection law
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