srdr tools for data extraction and creating summary tables

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SRDR Tools for Data Extraction and Creating Summary Tables SRDR Quarterly Training Brown Evidence-based Practice Center Brown University July 25 th , 2013 2:00pm-3:00pm The Systematic Review Data Repository (SRDR) was developed by the Brown Evidence- based Practice Center (EPC), Boston, Massachusetts, under contract with the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. HHSA 290-2007- 10055-I & HHSA 290-2012-1200012-I ).

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SRDR Tools for Data Extraction and Creating Summary Tables. July 25 th , 2013 2:00pm-3:00pm. SRDR Quarterly Training Brown Evidence-based Practice Center Brown University. - PowerPoint PPT Presentation

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SRDR Tools for Data Extraction and Creating Summary Tables

SRDR Quarterly Training Brown Evidence-based Practice Center

Brown University

July 25th, 2013 2:00pm-3:00pm

The Systematic Review Data Repository (SRDR™) was developed by the Brown Evidence-based Practice Center (EPC), Boston, Massachusetts, under contract with the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD

(Contract No. HHSA 290-2007-10055-I & HHSA 290-2012-1200012-I ).

Presentation outline Objectives SRDR overview Part 1 – simple data export tool Part 11 – advanced data export tool Part 111 – managed reports tool Part 1V – study assignment tool Summary

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Objectives Provide a brief overview of the SRDR structure

and current features Discuss and demonstrate simple data

exporting tool Discuss and demonstrate advanced data

exporting tool Discuss and demonstrate managed reports

tool Discuss and demonstrate study assignment to

team members tool

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System Status System has been in development for nearly 3

years Website launched in June 2012 Hosted on the AHRQ server Trademarked as Systematic Review Data

Repository (SRDR™) SRDR is committed to a policy of open access. All

completed systematic review projects deposited in the SRDR archive are publically available under the terms of a Creative Commons license

Current data contributors are EPCs and other participating organizations (e.g., Cochrane, GIN, NICE)

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Data flow in systematic reviews

Screening titles/abstracts

Screening full-text articles

Data abstraction from eligible trials/studies

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Data flow in systematic reviews: Role of SRDR

Responses to screening titles/abstracts

Responses to screening full-text articles

Data abstracted from eligible trials/studies

Data forms using SRDR 7/25/13

Privileges of SRDR UsersPublic• Can view any published information within the database,

but cannot post comments.

Commentator• Privileges of public viewer • Can post comments on studies

Contributors• Contribute systematic review project data to SRDR• Privileges of commentator• Can modify any study they create under the project they

collaborate on

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Current status

# of users/projects: Current data contributors are EPCs and other

participating organizations (e.g., Cochrane, GIN, NICE) There are approximately 70 ongoing projects in the

system and 200 certified users.

Features: Interfaces for creating abstraction forms and abstracting

study data are in place, with improvements being continually implemented

Tools for data retrieval/summarization and sharing have been developed, with new features in the pipeline

Users support: Training materials including user manual, instructional

videos, and an FAQ are available in the Help section linked to the SRDR homepage

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Data forms using SRDR9

Principles in creating an SRDR abstraction form

11/28/12

While the SRDR is very flexible and does not enforce how users create forms to meet one's (unique) needs. Minimizing variation on choice of words and format will ensure easy access to data by others

Thinking ahead when designing a form in SRDR: how you will use the data? what tables/analyses do you need? Are other members of your team clear on what needs to be

abstracted? how to ensure that other researchers will understand the form

you created and the data that you entered?

Steps for developing useful SRDR data forms Develop outline of evidence tables Identify and list data elements needed to

present in evidence tables Group data elements to facilitate data

collection process For each data element, identify optimal way of

asking the question to ensure correct data is collected

Set-up abstraction form in SRDR Develop plan to manage data after export

from SRDR

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SRDR tabs/sections to set up data forms

• Study characteristics Tab in SRDR Inclusion/exclusion criteria

of participants Study design characteristics

Interventions compared in the study

Outcomes assessed and analyzed in the study

Study quality/risk of bias

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Choosing between question types in SRDR

2. Can you or do you wish to specify all possible response options for the question?

1. Can you or do you wish to group together similar questions?

Yes

Yes

3. Should the abstractors select one option or multiple options in response to the question?

Single option

Multiple options

Matrix question

Question with dropdown, single, or multiple responses

No Non-matrix question

No Question with text box(es)

1. Responses listed in a drop-down menu

2. Only One Response Allowed

1. Select More Than One Answer

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Multiple abstraction forms

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Presentation outline Objectives SRDR overview Part 1 – simple data export tool Part 11 – advanced data export tool Part 111 – managed reports tool Part 1V – study assignment tool Summary

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Simple data export tool Complete data set is exported to Microsoft

Excel Worksheets divide the document into sections

of the associated extraction form One file is exported per extraction form Each study data may be represented by one

or more rows in the spreadsheet The Excel is storable and can be exported into

Access A refreshed copy of each project is cached for

download every 10 minutes Each download will have a timestamp

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Presentation outline Objectives SRDR overview Part 1 – simple data export tool Part 11 – advanced data export tool Part 111 – managed reports tool Part 1V – study assignment tool Summary

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Advanced data export tool Filter export table based on specific study

attributes Choose desired data fields for inclusion Great for summary table creation Example:

Give me all RCTs Containing Outcome A Containing Arms A and B Limit the output table to Mean and Standard Deviation

Matrix Filtering expedites the process of finding interesting combinations of attributes Study counts show prevalence of attributes in real-time

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Advanced data export toolTool live demonstration: Mapping project by different attributes

(arm/outcome; study design/outcome) Studies characteristics by design Patients baseline characteristic Study quality/Risk of bias Study results

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Presentation outline Objectives SRDR overview Part 1 – simple data export tool Part 11 – advanced data export tool Part 111 – managed reports tool Part 1V – study assignment tool Summary

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Managed reports tool Reports/tables can be saved as part of the

project record Upload tables to the SRDR

Share with team members Supplementary tables for the public view Safe-keeping

Re-generate reports using criteria from a previous run

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Presentation outline Objectives SRDR overview Part 1 – simple data export tool Part 11 – advanced data export tool Part 111 – managed report tool Part 1V – study assignment tool Summary

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Study Assignment Tool Reviews can commonly contain 100+ studies

Re-creating the studies in SRDR can be time-consuming

User management becomes difficult Double-extraction Re-shuffling assignments

Upload a tab-delimited file containing: study citations key questions addressed users assignments

Choose to let us do the work Provide a PubMed ID to have us fetch from NCBI Provide your own title and internal ID

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Presentation outline Objectives SRDR overview Part 1 – simple data export tool Part 11 – advanced data export tool Part 111 – managed reports tool Part 1V – study assignment tool Summary

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Summary Working to ease the burden of project

management Upload a spreadsheet providing SRDR with your

studies and let SRDR generate them for you User assignments lets you track which team

members are working on various studies Manage double-extraction and re-shuffle user

assignments when necessary My data is in, now help me get it back out

Export data to quickly gather Excel spreadsheets to your local disk

Use the Report Builder to generate customized tables highlighting the interesting features of your data

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How can you get started?

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