PRESENTING INFORMATION PEOPLE UNDERSTAND AND USE
description
Transcript of PRESENTING INFORMATION PEOPLE UNDERSTAND AND USE
PRESENTING INFORMATION PEOPLE UNDERSTAND AND USE
• Kathleen Cook, BSN• Information & Fiscal Manager
CHALLENGE and STRATEGY
CHALLENGEProduce easy to understand and timely
informationDemands from public, decision-makers,
political leaders, program staff and managers, funders and stakeholders, grantors
Pressure to show evidence-based practice outcomes
More data and data sources are available with little guidance for interpretation
Limited resources and staff to do the work
GOAL
STRATEGYPrinciples to Guide Investments•Support work at point of service•Use standard, off-the-shelf technology•Look for potential scalability•Document for future
Key Elements SystematicReplicable Easy to UseMeaningful
Reliable, consistent and on-going sources of data
ComparableBench-markedRelated to Department
mission, goals, objectives
Make the time
to develop
strategic guide
for IT
investments
and
development
Health Department IT Strategy
MANAGING THE DATA
PRACTICAL AND STRUCTURED APPROACH
TYPES OF DATA PRESENTATION Static Data
Periodic updates BRFSS / YRBS Hospital Discharge Vital Statistics
Dynamic and Calculated Data Near real time updates
(Dynamic) Collection of data, organized
and pre-calculated Point of service software
(electronic medical/dental record; permit & inspection records)
Syndromic surveillance
Measures Benchmarks Performance indicators Population health indicators Process indicators
Analytics Data / process mining Statistical / predictive
analysisReporting
Visualization Graphs/charts Dashboards Alerts
Managing Static DataStandardize the process for each data source
Create scripts and routines that can be run automatically
Modify only when the data itself changes
We are saving at
least 500 hours
of Epidemiology
staff per data source
• Raw data• Analysis and Weighting
– Survey data must be weighted based on sample size and demographics
– Event data (e.g. births, deaths) must be adjusted when used for rates—particularly if cell size is less than 30
• After analysis and weighting, data are stored in SQL data base• If data change, new fields are
created in the database
Staff gets new
information
in less than two weeks
From 1-2 datasets per year to 10 data sets
Comparabl
e
Managing Dynamic and Calculated Data
Collaboration is criticalReport Developers must work with •Front end users who generate the data•Managers who determine what is useful and or interpret the dataReport Developers must also collaborate with Users of the Data•Public Health leaders•Stakeholders•Partners•Decision-makers•Managers and Supervisors
Create a Structured approach to identifying and testing data to produce usable information
Identify routine process for linking data source to dashboard
Recognize and follow requirements from data owners related to privacy and access
Produce calculated data through routines
Replicable
Reliable
Systemati
c
Dashboard
Development and Deployment
Our Health Department uses Dashboard Reporting Software from Logi Analytics
REPORT PROCESS All work starts with the
Users: Managers and Frontline staff
Identify Division / Program needs, indicators, benchmarks and other performance measures
Collect Data Extract, Transfer and
Load (ETL) the data to appropriate database
Build Reports, dashboard and applications
Verify that reports accurately represent the indicator or measure
Publish
Updating Dashboard ApplicationsUpdating the dashboard usually involves
adding new data to the database The dashboard is updated automatically. Time spent on the initial design of the rules
for Analysis, Weighting, Selection, Extraction, Transfer, and Load of data from each type of data source is the most intensive and important. Assuring that the rules can replicated Assuring that the rules can be automatedAssuring the rules can be systematically applied
Each additional use of the rules th
Using DashboardsEasy to Use Improving Public HealthWeb-based deploymentNo special software or
training requiredUsers control what
information they want to see, follow or monitor
Assure Quality Service & Performance
Promote Healthy Behaviors—Use of data to support and reinforce change
Monitor Community Health Status /Risks
Benchmark performance and measure outcomes
Assure Quality Service & Performance
Promote Healthy Behaviors
Use of data to support and reinforce change
Monitor Health Status
Community Health Status Indicators
Risk Indicators
Benchmark performance Measure outcomes
Performance Measures and Indicators
Medical Home by 2014
Lessons Learned
Things to Watch Out For….
Helping Users understand informationWe keep these points in mind and include explanations:Taking care when using “percentage change” and rates for data sets with small cells.When comparing years, the starting and ending years may not be reflective of the real change in values.Know if there are breaks in the data:
Deaths classified using ICD 9 in 1998; ICD 10 in 1999Changes in birth certificates in 2005.BRFSS: Changes in sampling as data collection using
cell phone numbers increased led us to make a break between 2010 and 2011 data. We don’t display 2011 and 2012 data in direct comparison with 2010 and earlier data
Including confidence intervals and meta dataAge adjusted data can’t be compared if
different standard populations are used (2000 is the usual standard, but sometimes a different year—say 1946 or 1970, is used).
Racial and ethnic definitions have changed in Census data for races and persons of Hispanic origin.
Don’t be overly precise—survey data have confidence intervals to consider.
GIS is powerful but …..GIS maps often raise more questions than
they answer (counties next to each other may appear to have widely differing rates):For cancer incidence, be careful, as cancer is
age related and residential care and nursing homes are not located in all counties
Wrap up
• Best Practices• Contacts
LLCHD Public Health Informatics Program
Model Practice ProgramAward Winner: July 2011
Best Practices / Model PracticeBest Practices we used:Business Process AnalysisRequirements GatheringStrategic Mapping and
PlanningBusiness Case
LHDs and Electronic Health Records
Webinar Why should your local health department (LHD) adopt and utilize electronic health
records? Webinar that spotlights Lincoln-Lancaster County Health Department and Marion County Health Department use of electronic health records and how it has improved their public health practice.
Questions ? / More information?
View some of our dashboards:http://data.publichealthne.org Developed with the Public Health Association of Nebraska for all Nebraska local health districtshttp://lincoln.ne.gov/city Key word: data
Raju KakarlapudiPublic Health EpidemiologistLincoln-Lancaster County Health Department3140 N StreetLincoln, NE [email protected]
Kathleen CookInformation & Fiscal ManagerLincoln-Lancaster County Health Department3140 N StreetLincoln, NE [email protected]