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Enhancing Data Accuracy in ILP: Addressing Late Data Entry Challenges

rianne avatar
rianne
23 diapositives · 359 Views · Jul 17, 2014

Timely and accurate data entry is crucial for informing policy and improving family outcomes. This discussion focuses on the common issue of late data entry in the ILP database, highlighting the importance of maintaining a real-time data set. We explore how frozen snapshots of data can distort yearly reports, potentially misrepresenting performance and compliance. By examining data entry timelines and addressing discrepancies, we aim to improve the reliability of reports and support federal and state requirements for accurate public reporting.

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  1. Getting A Little Behind? ILP Database Late Data Entry Discussion

  2. Analyzing data informs policy and practice decisions, with the ultimate goal of improving outcomes for the families you serve.

  3. But data itself is a tool, not a solution.

  4. To get any benefit from it, you need to know what information is in your database, how to use it and be assured is it timely and accurate. 

  5. ILP Data is a live real-time data set. For federal and state reporting purposes we take a snapshot of the data – freezing a copy of the live data. This frozen snapshot tells your story from year to year.

  6. Frozen state level data promotes: • changes in policy • regulations • funding  Timely and accurate data is critical to show true trends from year to year.  A frozen data set misses data points and missed data will not be represented on any annual reports. 

  7. Examples

  8. While we can be proud of the small discrepancies, these differences translate to extra data cleaning for you and non-compliant status with a corrective action plan when in reality you are doing better than the data indicates. 

  9. Also, your database reports are not as accurate as they could be.

  10. Data Entry Exercise Data entered in January 2013 examined to see how long after the event occurred it was entered. Definition of late data used for this exercise: any data entered >30 days after the occurrence. (ie: PT evaluation completed 11/15/12 was entered into the database on 1/5/13)

  11. FY14 grant agreements will require attention to data on a monthly basis. Send suggestions for additional items on the cleaning and/or ` other reports and feedback as to how monthly data cleaning will affect your data entry system. We are available for TA support.

  12. Questions

  13. Public Reporting Alaska EI/ILP must report annually to the public the performance of each early intervention service (EIS) program located in the State on the targets in its Part C – SPP

  14. Public Reporting Example: How quickly will children get into services? Indicator 7: 45-Day TimelineTarget 100%

  15. Public Reporting Example by Grantee: How quickly will children get into services? Indicator 7: 45-Day TimelineTarget 100%

  16. Public Reporting Link http://dhss.alaska.gov/ocs/Pages/infantlearning/reports/publicreporting/default.aspx