FDA's Mini-Sentinel Program to Evaluate the Safety of Marketed Medical Products. Progress and Direction
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1 FDA's Mini-Sentinel Program to Evaluate the Safety of Marketed Medical Products Progress and Direction Richard Platt Harvard Pilgrim Health Care Institute Harvard Medical School for the Mini-Sentinel Investigators January 31,
2 Mini-Sentinel Develop scientific operations for active medical product safety surveillance Create a coordinating center with continuous access to automated healthcare data systems, and the following capabilities: Develop and evaluate scientific methods that might later be used in a fully-operational Sentinel System. Offer FDA the opportunity to evaluate safety issues in existing automated healthcare data system(s) and learn more about barriers and challenges. 2
3 Mini-Sentinel partner organizations Institute for Health 3
4 Initial needs Policies Privacy Governance Data model Everything! Procedures at FDA, at Coordinating Center, at Partner sites White papers Standard operating procedures Infrastructure at FDA, at Coordinating Center, at Partner sites Personnel Hardware Software 4
5 Mini-Sentinel Distributed Analysis 1- User creates and submits query (a computer program) 2- Data partners retrieve query 3- Data partners review and run query against their local data 4- Data partners review results 5- Data partners return results via secure network 6 Results are aggregated info@mini-sentinel.org 5
6 Mini-Sentinel Journal Supplement Supplement to Pharmacoepidemiologyand Drug Safety 34 peer reviewed articles Goals, organization, privacy policy, data systems, systematic reviews, stats/epi methods, record retrieval and review, protocols for drug/vaccine studies... Open access! /pds.v21.S1/issuetoc 6
![Drugs This assessment [ used ] FDA](/docs-images/26/8268995/images/7-0.jpg "s Mini-Sentinel pilot... www.fda.")
7 Drugs This assessment [ used ] FDA s Mini-Sentinel pilot... Nov 2, 2012 info@mini-sentinel.org 7
8 Toh Arch Intern Med.2012;172:
9 we commend the Food and Drug Administration for developing the Mini-Sentinel Katz. Arch Intern Med. 2012;172:1590 9
10 10
11 or-assessment-of-signal-refinement-positive-results.pdf 11
12 In theory there is no difference between theory and practice. In practice there is. Yogi Berra 12
13 Mini-Sentinel Distributed Analysis 1- User creates and submits query (a computer program) 2- Data partners retrieve query 3- Data partners review and run query against their local data 4- Data partners review results 5- Data partners return results via secure network 6 Results are aggregated info@mini-sentinel.org 13
14 PopMedNet Architecture Deployment Overview Internet System Administrator (Two Factor AuthN) FISMA Compliant Data Center Data Administrators & Reviewers (Two Factor AuthN) HTTPS, TLS Data Partner Organization Internet HTTPS, TLS Firewall Network Security (IDS/IPS, VPN/RSA) Web Servers / Reverse Proxies/Load Balancers User and DataMart Provisioning And Administration DataMart Management (Metadata, Authorization) User Account Management (Groups/Roles/User Accounts) PMN Portal Workflow Job Scheduling Request/ Response Mgr User Interface Firewall Firewall HTTPS, Mutual TLS Optional Site to Site VPN DMZ Data Mart Client Optional REST Internal Data Source (Common Data Model) ETL DataWarehouse / Repositories DMZ Non DMZ (Internal Components) Audit Investigator Observer Enhanced Investigator PMN Software Supports multiple deployment models Agnostic to data center infrastructure and complements existing network infrastructure VM based deployments enabling ease of disaster recovery and planning Seamless overlay of VPN Connections (Remote Access, Site to Site, Two Factor User Authentication) Supports consolidation of remote sites into the data center for central management (Data Partner Components can be hosted in a central data center similar to the PMN Portal) Secure End to End connection (Encrypted Transport using X.509 certificates) Supports industry standard RBAC configuration for users Supports Data Source provisioning based on RBAC and additional data source specific metadata Queries distributed using a PULL model instead of PUSH model
15 Mini-Sentinel Distributed Analysis 1- User creates and submits query (a computer program) 2- Data partners retrieve query 3- Data partners review and run query against their local data 4- Data partners review results 5- Data partners return results via secure network 6 Results are aggregated info@mini-sentinel.org 15
16 A Mini-Sentinel week Distributed dataset development/maintenance Query tool development /use Protocol development / implementation Methods development / implementation Develop new capacity Contribute to establishing a national resource for evidence development info@mini-sentinel.org 16
17 A Mini-Sentinel week Distributed dataset development/maintenance 17
18 Data Refreshes: Data Partner Data Manager 1. Create Data Update Work Plan 10. Manage Data Update Process Technical Analyst Data Partner 2. Review Data Update Work Plan 3. Verify Source Data Availability Technical Analyst 4. Verify/Modify ETL Process 5. Extract Data from Source System 6. Transform & Load Data into CDM Data Quality Checking & Profiling 8. Create Query Tool Files Data Quality Analyst 7. Validate Data Load MSOC Data Partner 18
19 Data Refreshes: Operations Center Technical Analyst Data Updates 1. Verify Current SAS Software Versions 13. Manage Data Quality Checking & Profiling Process 2. Run Quality Checking Programs Data Quality Analyst 3. Review & Remediate Outputs 4. Deliver Summary Outputs Data Quality Analyst 5. Review Summary Outputs Data Manager 6. Approve Data Partner Update Data Updates MSOC Data Partner 19
20 Data Refreshes 120 core data refreshes received since MS began How long does it take to approve a refresh? Three weeks to three months info@mini-sentinel.org 20
21 Standard data checks 100+ tables per data partner per refresh 21
22 Data Visualization: After 7 th refresh, partner A info@mini-sentinel.org 22
23 Data Visualization: After 8 th refresh, partner A New time period New data problem in old time period info@mini-sentinel.org 23
24 Data Visualization: After 8 th refresh fixed info@mini-sentinel.org 24
25 Eternal vigilance is the price of liberty --attributed to Thomas Jefferson Eternal vigilance is the price of reliable data" -- Mini-Sentinel 25
26 A Mini-Sentinel week Distributed dataset development/maintenance Query fulfillment tools development /use 26
27 Typical Input to Modular Programs Start Date Start of newtreatment episode End Date Look back XX days Inclusion/exclusion condition Outcome(s) Optional: blackout days Optional: extension days Index Date Time 27
28 Mini-Sentinel Query Fulfillment Process 28
29 When existing programs aren t enough Modify a modular program, or Create a new program info@mini-sentinel.org 29
30 New Program Development 30
31 Uses of the distributed database Modular Programs MP Queries MP Reports MP Scenarios Ad Hoc Programs Feb-11 Jun-11 Oct-11 Feb-12 Jun-12 Oct-12 Feb-11 May-11 Aug-11 Nov-11 Feb-12 May-12 Aug-12 Nov-12 info@mini-sentinel.org 31
32 A Mini-Sentinel week Distributed dataset development / maintenance Query tool development / use Protocol development / implementation info@mini-sentinel.org 32
33 Protocols in the field now Impact of labeling change on use of long acting beta agonists Rotavirus vaccine and intussusception Human papillomavirusvaccine and thromboembolism Anti-diabetic drugs and acute myocardial infarction 33
34 Protocols under development Influenza vaccine safety (same season, sequential analysis) Metabolic effects of atypical antipsychotics in children and adolescents Influenza vaccine and febrile seizures Dabigatran and stroke / bleeding Influenza vaccine and birth defects, spontaneous abortion IV iron products and anaphylactoid reactions IV immune globulins and thromboembolic events info@mini-sentinel.org 34
35 A Mini-Sentinel week Distributed dataset development / maintenance Query tool development / use Protocol development / implementation Methods development / implementation info@mini-sentinel.org 35
36 Methods Improving confounder adjustment Validation of health outcomes of interest Data mining for vaccine adverse events Implementing routine prospective surveillance of new products using sequential methods 36
37 A Mini-Sentinel week Distributed dataset development / maintenance Query tool development / use Protocol development / implementation Methods development / implementation Develop new capacity info@mini-sentinel.org 37
38 Coming in 2013 Prospective surveillance of new products New query tools New bandwidth to respond to more queries New data Links to state birth and immunization registries Explore use of inpatient data 38
39 A Mini-Sentinel week Distributed dataset development/maintenance Query tool development /use Protocol development / implementation Methods development / implementation Develop new capacity Contribute to establishing a national resource for evidence development info@mini-sentinel.org 39
40 February 10, Volume 364:
41 Continue external engagements NIH Health Care System Collaboratory Observational Medical Outcomes Partnership (OMOP) Clinical Trials Transformation Initiative ONC Standards & Interoperability Framework (Query Health) IOM Roundtable on Value and Science-Driven Health Care Academy Health EDM Forum Other new partners as opportunities present 41
42 In conclusion 42
43 Key contributors to Mini-Sentinel s progress Close, frequent, coordinated interactions between FDA, data partners, content experts, epidemiologists, and statisticians Distributed data network Public health practice Focus on defined populations with sufficiently complete data First: Claims and administrative data, plus access to full text records Then: electronic medical records, registries, Rapid cycle development of capabilities Ability to respond quickly to predefined needs info@mini-sentinel.org 43
44 highlights the necessity of proactive planning Salmon Health Affairs 2012; 31:2518
45 Costs and benefits Up to date distributed database + hundreds of rapid response queries Protocol based study Being prepared for pandemic or other crisis info@mini-sentinel.org 45
46 Expectations confirmed Standard programs can help FDA quickly interpret signals from other sources: Dabigatran and bleeding Olmesartanand celiac disease Varenicline and cardiac events Many sophisticated analyses do not require exchange of protected health information 46
47 47
48 Thank you! 48
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