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Building Processes for Conducting and Managing Data Collection
Erin Geary Tribal MIECHV Annual Grantee Meeting May 2015
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Objectives To introduce tools for improving timeliness and quality of data collection** To present best practices for institutionalizing data collection in your program To hear from you what strategies or tools are helping you improve data collection **Tools come from TEI’s Data Collection Toolkit– Coming Soon!
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What data are collected? Who collects the data? When are data collected? How are data entered? How is data collection monitored? How are data used?
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Why “systematize” data collection
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Collecting data on time
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Considerations “On-time” window can look different for different measures Ticklers and alerts can be helpful but…. It is helpful to talk through scenarios with staff
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Discussion How have you addressed data collection scheduling? What’s worked (tips, tools, etc.)?
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Data Collection Tracking Tool
Screenshot of Tool and Timepoint entry screen
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Data Collection Tracking Tool
Screenshot of Scheduling Template
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Monitoring Data Quality
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In many programs, quality happens (or doesn’t) when…
1) data are collected and 2) when data are entered
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Monitoring data collection
Training/role play Shadow Collection while being observed Independent data collection Monitoring data collection
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Monitoring data entry- knowing what to look for
Data entry “red flags” Lots of missing data Values outside the normal range Lack of variation Score patterns that seem out of the ordinary Is the error part of a larger issue or a one time mistake? Are there patterns related to certain staff? What happens when you sort by date? Are certain measures or certain questions being skipped?
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Discussion How have you monitored data quality? What issues are you seeing show up regularly? What’s worked for monitoring quality (tips, tools, etc.)?
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Quality Assurance Form
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Institutionalizing Data Collection
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Best Practices- Write it down… all of it
Policies and Procedures Manuals are your friend! EXAMPLE- Quality checks How frequently are data checked? By who? Sample of data or all of it? What will they look for? How does the review come back to staff?
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Data Collection Protocol Outline
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Best Practices- Consistent messaging
Training, in-services, weekly meetings, supervision, written memos are all good platforms for communicating data collection procedures BUT…. It is important to ensure that all staff are getting the same messages
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Sample Training Schedule
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Best Practices- Be supportive
Home visitors play a key role in whether data collection is institutionalized in a program Acknowledge that data collection can be challenging AND emphasize why it matters Highlight good work Ask for Home visitor’s input and leadership (form redesign, issues with measures, training new staff, etc.)
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Final thoughts? Has this generated other ideas or potential strategies? Are there tools you might take back and use?
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Thank you for coming!
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For more information on TEI contact: Nicole Denmark Kate Lyon
The Tribal Home Visiting Evaluation Institute (TEI) is funded by the Office of Planning, Research and Evaluation, Administration for Children and Families, Department of Health and Human Services under contract number HHSP WC. TEI is funded to provide technical assistance to Tribal Home Visiting grantees on rigorous evaluation, performance measurement, continuous quality improvement, data systems, and ethical dissemination and translation of evaluation findings. TEI1 was awarded to MDRC; James Bell Associates, Inc.; Johns Hopkins Bloomberg School of Public Health, Center for American Indian Health, and University of Colorado School of Public Health, Centers for American Indian and Alaska Native Health. For more information on TEI contact: Nicole Denmark Kate Lyon Federal Project Officer Project Director Office of Planning Research and Evaluation James Bell Associates, Inc. The Tribal Evaluation Institute is funded by the Office of Planning, research and Evaluation within the Administration for Children and Families. TEI was awarded to James Bell Associates in partnership with the University of Colorado’s Centers for American Indian and Alaska Native Health and Michigan Public Health Institute. For more information, contact the individuals on this slide.
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