Transcript What is the future? - Minnesota MN Omaha System Users Group

Omaha System Partnership
Research Overview
Madeleine Kerr, PhD, RN
Background
Purpose
• Describe completed and in-progress studies
of the partnership research teams (41 to
date)
• Studies are listed and available through links
at omahasystempartnership.org
Investigators and co-investigators
•
•
•
•
Multidisciplinary teams (n=27)
International teams (n=8)
Students (n=25)
Community partners (n=22)
Subjects
• High risk families served by public health
nurses (n=22)
• Elders receiving home care services (n=12)
• Mothers with intellectual disabilities
• Children with special health care needs
• Diabetics
• Firefighters
Settings
•
•
•
•
•
•
Public health
Home health
Community advocacy organizations
Community coalitions
Nurse-managed wellness centers
Workforce studies
Electronic health record data
Study Methods
•
•
•
•
•
Descriptive (n=37)
Inferential (n=26)
Text mining (n=3)
Machine learning (n=2)
Data visualization (n=1)
Machine learning example
Data Management for
Intervention Effectiveness Research:
Comparing Deductive and Inductive Approaches
• Purpose: To use data mining techniques to
create meaningful intervention clusters from
structured Omaha System intervention data
Monsen, K.A., et al. (2009). Research in Nursing and Health, 32 (6),647656
• Method: Intervention data from 2,862 clients
from 15 home care agencies managed using 3
deductive approaches and 1 inductive (data
mining) method.
Intervention Scheme
• Results: The data mining approach generated
more intervention groups (24) compared to
action category, theoretical and clinical expert
consensus approaches.
Text mining example
Informing Standard Development and
Understanding User Needs with Omaha System
Signs and Symptoms Text Entries in CommunityBased Care Settings
• Purpose: To study free text with Omaha System
data, to improve use in computerized platforms,
identify gaps, and propose improvements.
Melton, G. B., et al. (2010). Proceedings of the 2010 American Medical
Informatics Association Symposium, 512-516.
• Method: Free text data for ‘other’ signs and
symptoms from 2 years of client records
analyzed by content experts into categories.
Signs and
Symptoms
• Results: Five categories: 1) duplicate entries,
2) multiple concepts, 3) medical diagnoses,
4)interventions and 5) comments.
Descriptive inferential example
Benchmark Attainment by Maternal and Child
Health Clients Across
Public Health Nursing Agencies
• Purpose: To demonstrate benchmarking of
public health nursing outcomes
Monsen, K.A., et al. (2011). Public Health Nursing, 29(1), 11-18.
• Method: MCH data from from 6 counties
using a benchmark of 4 (1=lowest, 5=highest)
Knowledge
Behavior
Status
• Results: All counties showed significant
increases in client knowledge benchmark
attainment; 4 of 6 counties showed increases
for behavior & status.
Studies in progress
Using Visualization Methods
to Discover Tailoring in
PHN Intervention Data
Evaluating Effects of PHN Home Visiting on
Health Literacy (NI2012 AMIA-0421)
Occupational Health Nursing Informatics:
Mapping Hearing Health Outcomes to the
Omaha System (NI2012 AMIA-0413)
Questions?
Omaha System Partnership
omahasystempartnership.org
Madeleine Kerr [email protected]