WisPQC Data Collection & Reports Webinar for NAS/NOWS Initiative November 13, 2018 12:00-1:00 p.m. GoToWebinar®

Topics to Cover RE: Data Collection and Reports Platform used Collection of data Data use agreement Reports and graphics Data validation

Platform Used PeriData.Net® Current users Non-subscribers

Data Collection Data elements Collection form on Web site Opioid data screen in PeriData.Net® Demonstration by Madison of data screen, data entry, & access to data definitions Submission of data Time to collect data Input from Pilot hospitals

Navigation to data collection form on the Web site www.wispqc.org Hover over ‘Initiatives’ tab at top of screen and select ‘Women and Infants Affected by Opioids’ Scroll down and select the box labeled ‘Change Package’ Click on box titled ‘General Information and Resources’ Select ‘Data Collection Form’ and can print it

Submission of Data No steps to complete Enter the data and your task is completed!

Time to collect data Input from Pilot Hospitals

Data Use Agreement Purpose WisPQC will create an agreement Completion

Data Reports and Graphics Detail Report Individual hospital report WisPQC NAS/NOWS Summary Report Aggregate statewide report Graphics Selection of timeframe to include Run charts and control charts

Graphics Available Number / Percent of infants at risk for NOWS/NAS evaluated with validated tool Number / Percent of infants treated using standardized protocols Number of infants with NOWS/NAS

Graphics Available Number of infants transferred/transported for higher level of care Duration of treatment for NAS/NOWS Duration of pharmacologic treatment for NAS/NOWS Length of hospitalization

Data Validation What it is Why do it Domains / Dimensions of data quality Things to consider

What is it? “Data validation is an activity verifying whether or not a combination of values is a member of a set of acceptable combinations”… it is a “ a decisional procedure ending with an acceptance or refusal of data as acceptable.” Methodology for Data Validation 1.0 (Handbook), ESSnet Validat Foundation, revised edition June 2016 p. 5 & 6

Why bother with data validation? Data validation ensures that there is “a certain level of quality of the final data” Quality data enhances the reliability of research findings and is integral to EHR based study findings Assists with “believability” of the data / information and lessens questioning of what is being reported Methodology for Data Validation 1.0 (Handbook), ESSnet Validat Foundation, revised edition June 2016

Domains / Dimensions of Data Quality Accuracy – truthfulness of the data Completeness – degree and nature of missing values Comparability/consistency – constancy of the data at the desired degree of detail Data credibility – plausibility or reliability of the data Timeliness / punctuality Use of data is the goal & need good data

Things to Consider RE: data validation Is the audit a manual or computer process? Will you use paper documentation or an electronic report to cross check data accuracy? How often will you audit data entry; compare to chart (gold standard)? Double-check with second person? What is your sample size?

Things to Consider RE: data validation How will you prevent missing data, reduce possibility of errors? Confirm common understanding of definitions by data abstractors. Measure degree of data entry failure, data fall-out, outliers. Analyze feedback from stakeholders.

Learning Collaborative Sessions: Schedule & Format Upcoming Webinar Meetings: Invite your team of opioid project champions to gather together Weekday Date Time Topic Tuesday Nov 27 12:00– 1:00 pm Change Package Thursday Dec 6 Eat, Sleep, Console Wednesday Dec 12 Learning Collaborative Sessions: Schedule & Format Nursing

Questions now: Questions later: Ask Questions later: kannenberg@perinatalweb.org

Thank you. For additional information, contact Sue Kannenberg at kannenberg@perinatalweb.org or 608-285-5858 ext. 205