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CENTER FOR INTEGRATED HEALTHCARE DATA RESEARCH
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Data Access

Data Access

Initial assessment by use case scenarios


Use case
What the user will do*
What Center will do
To get feasibility counts​
Use RPDR query tool​
Provide feasibility counts based on availability of the claims data

Research project conducted on the Center server

  1. Submit a request
  2. Apply for IRB
  3. At the discretion of the Center, may need to apply for a DUA re-use amendment
  1. Review the submitted request to determine if the study needs a re-use DUA amendment
  2. Verify the IRB
  3. Assess cost based on level of support needed

Research project conducted using downloaded analytical files​

  1. Submit a request
  2. Apply for IRB
  3. Apply for a DUA re-use amendment
  1. Assist the user to apply for a re-use DUA amendment
  2. Verify the IRB
  3. Assess cost based on level of support needed

* For collaborators external to Partners, the principal Investigator (PI) need to identify one Partners PI for collaboration through the Center.
​


Procedures to obtain data access

  1. In consultation with the Center, the PI determines
    1. Data access model (Table 1)
    2. Level of support needed (Table 2)
  2. The PI agrees with the cost invoice and sign the agreement with the Center.
  3. The Center deliver the service according to the agreement.

tABLE 1: Data access model

Center server + Aetion
Access the data on the Center server via Aetion platform (a validated user-friendly analytical platform.
Learn more.


Center server + SAS/R
Access the data on the Center server via SAS or R statistical package available on the server.


​Download cohort
The user will download to a dedicated and secure directory and perform the analyses using the software available to them.


tABLE 2: Level of Support Needed

Self-service user
Self-service users will identify the patient cohort of interest by themselves via provided tools. The Center will cut the data and deliver the raw longitudinal claims data in addition to the RPDR data through the established mechanism. Self-service users are enabled to use the Aetion self-service analytic platform or SAS/R statistical package to conduct basic and advanced analyses with longitudinal healthcare data, including descriptive, comparative, and predictive analyses. The investigators will have access to the study specific cohorts with the linked RPDR and claims data with which they can perform analysis for a wide range of research purposes (e.g. long-term follow-up for a clinical trial, identification of patients to enroll in a clinical registry, or causal inference in routine care, etc).
Learn more.

Expanded service user
The expanded service provides all aspects of the self-service offering. In addition, it provides the identification of a cohort and compilation of study variables based on a detailed protocol that performs commonly used multi-variate adjusted analyses (e.g., logistic regression, propensity score adjustment, etc.) provided by the investigator. We will produce the analytical cohorts based on the protocol, which will then be used by the investigator to complete all analyses.

Customized service
For more complex tasks not outlined above, the user may need a customized service. We will discuss with the user about needs and feasibility. We will implement studies within reach of our capacity for a negotiated price.

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Division of Pharmacoepidemiology & Pharmacoeconomics
​Department of Medicine
Brigham & Women's Hospital and Harvard Medical School
1620 Tremont Street Suite 3030 Boston, MA 02120