International Registries: The Government-Driven Model

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International Registries: The Government-Driven Model Pål Surén Norwegian Institute of Public Health

Presentation outline Overview of Norwegian health registries The Norwegian Mother and Child Cohort Study (114,500 children and their parents) Sub-studies of autism, epilepsy, ADHD, cerebral palsy Choosing a registry model National laws and regulations Resources available What do you want to achieve with the registry? Examples: MoBa sub-studies, Cerebral Palsy Registry of Norway

Norway 5.1 million inhabitants (Ireland 4.6 million) 385,000 km 2 (Ireland 70,000 km 2 ) Most healthcare services government-funded Most healthcare institutions government-run Private providers rely on government funding Reporting to nationwide registries mandatory for all providers (public and private)

Norway: Registry framework PIN: Personal identification number 11 digits (DOB + 5 digits) Unique to each individual Used in all public registries and databases Norwegian Population Registry Births, deaths, residence, immigration, emigration Statistics Norway Demographic and socio-economic data

The central registries Mandated by law; no consent or opt-out 17 in total General registries Medical Birth Registry of Norway Genetic Screening of Newborns (Biobank) Norwegian Patient Registry Norwegian Prescription Database Norwegian Immunisation Registry Norwegian Cause of Death Registry Disease-specific registries: Norwegian Cancer Registry Norwegian Cardiovascular Disease Registry Norwegian Surveillance System for Communicable Diseases

Nationwide quality registries Regulated by the Norwegian Directorate of Health 47 in total Most are subdivisions of central registries no consent or opt-out One registry for neurodevelopmental disorders: The Cerebral Palsy Registry of Norway (CPRN) Consent-based, opt-in Recruitment and data collection by clinicians Linked to the nationwide CP follow-up program (CPOP) Children born 1996 and later

The Norwegian Mother and Child Cohort (MoBa) 114,500 children Born 1999 2009 Age 5 15 years, mean 8.5 years 93,500 mothers and 75,200 fathers Questionnaires through pregnancy and childhood Blood samples (DNA, RNA, plasma) Registry linkages Large number of ongoing sub-studies

MoBa sub-studies of neurodevelopmental disorders Autism spectrum disorders: The Autism Birth Cohort (ABC) Study Epilepsy: The Epilepsy in Young Children (EPYC) Study ADHD: The MoBa ADHD Study Cerebral palsy: Mothers and Babies in Norway and Denmark (MOBAND) Language and learning: The MoBa Language and Learning Study

Medical Birth Registry of Norway MoBa (n=114,500) Questionnaire screening (3Y, 5Y, 7Y) Parent and professional referrals Norwegian Patient Registry Invitation to participate Clinical assessment ASD diagnosis

How to choose a registry model Case identification Healthcare databases Patient organizations Population screening Recruitment Mandatory vs. consent-based If consent-based: Through clinicians or parents Data collection Record reviews (by registry staff) Parental questionnaires Clinicians

The Autism Birth Cohort (ABC) Study: Relevant experiences Recruitment to MoBa associated with socio-economic characteristics Education, marital status, number of children, country of origin Lifestyle (BMI, smoking) Early screening not successful Low sensitivity Captured only severely affected cases Referrals from clinicians not very successful No incentives High probability of autism among referred children Clinical assessment: Participation affected by child characteristics Overburdened families Older children, low-functioning hard to travel

ABC Study: Linkages to the Norwegian Patient Registry (NPR) Major source of ASD cases in the study Validation study (clinical assessment) 58/60 ASD diagnoses confirmed PPV 97% Low participation rate (28%), selection bias PPV high for autistic disorder, low for PDD-NOS and Asperger Registry data alone: No information about IQ, language level, etc. ASD subtype diagnoses problematic ABC Study: Record-based validation and characterization ongoing

Norway: ASD prevalence 2.0 % 1.8 % 1.6 % 1.4 % 1.2 % 1.0 % 0.8 % 0.6 % Boys Girls Total 0.4 % 0.2 % 0.0 % 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Age in Years

Prevalence by county (age 6 12 years) % ASD Telemark Rogaland Vestfold Møre og Romsdal Østfold Hordaland Oppland Nordland Sogn og Fjordane Oslo Finnmark Troms Akershus Buskerud Sør-Trøndelag Nord-Trøndelag Hedmark Aust-Agder Vest-Agder Norge 0.0 % 0.2 % 0.4 % 0.6 % 0.8 % 1.0 % 1.2 % 1.4 % 1.6 % 1.8 %

Cerebral Palsy Registry of Norway (CPRN) Recruitment: By clinicians, consent-based Nationwide network, all hospitals included Pediatric neurologists, physioterapists, occupational therapists Data collection At time of diagnosis: Medical data Age 5 years: Medical data Age 15 17 years: Medical data, test results (cognitive, language, motor)

CP follow-up program (CPOP) Nationwide follow-up program Standardized protocol; best-practice Goal: Prevent complications, optimize outcomes Funded by ordinary health services 1 2 check-ups annually: Physician, physiotherapist (gross motor), occupational therapist (fine motor) Collaboration with CPRN One network, one advisory board Coordination of recruitment CPOP data feed into CPRN

CPRN: Coverage Calculated by comparing to the NPR CPRN included 63% of recorded CP diagnoses Validation study (record review): 40% of non-captured diagnoses were not CP True coverage 84% 2006 and later: True coverage > 90% Variations by county: 64 96%

CPRN: Advantages CP: Relatively rare, life-long follow-up Limited number of clinicians involved, people know each other Long-lasting relations between families and hospitals CPRN + CPOP Incentives for parents: Best-practice follow-up Incentives for clinicians Academic support and guidelines Networking

CPRN: Surveillance and research Prevalence: In conjuction with the NPR Causes and risk factors Linkages to birth registry, MoBa Biobank of the Genetic screening of newborns program? Interventions and outcomes Data collected by the CPRN Difficult to obtain relevant data elsewhere

Conclusions Case identification Important to identify the source population Determine true prevalence and coverage Identify selection bias Recruitment Mandatory or opt-out easier than consent-based If consent-based: Include incentives to participate Networking and trust Data collection Through clinicians/parents: High-quality, labor-intensive Record reviews by registry staff: Cost-effective, no selection bias