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Using Data to Drive Daily Practice and Program Success. Gabrielle Bargerstock, MPH Business Development Manager Nurse-Family Partnership National Service Office. Florida Association of Infant Mental Health/MIECHV Conference Many Paths to Enhancing Parent Child Relationships April 25, 2014.

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Using data to drive daily practice and program success

Using Data to Drive Daily Practice and Program Success

Gabrielle Bargerstock, MPH

Business Development Manager

Nurse-Family Partnership National Service Office

Florida Association of Infant Mental Health/MIECHV Conference

Many Paths to Enhancing Parent Child Relationships

April 25, 2014

Presentation overview
Presentation Overview

  • Brief discussion of data as a concept

  • Data types and usage

  • Context: MIECHV Program & Benchmarks

  • Data Analysis Tools and Strategies

  • Activities

  • Resources

What is data
What is Data?

  • Facts or information used usually to calculate, analyze, or plan something

  • Factual information (as measurements or statistics) used as a basis for reasoning, discussion, or calculation

  • Information output …that includes both useful and irrelevant or redundant information and must be processed to be meaningful.

What is data1
What is Data? there.’

According to Russell Ackoff: the content of the human mind can be classified into five categories:

  • Data: symbols

  • Information: data that are processed to be useful; provides answers to "who", "what", "where", and "when" questions

  • Knowledge: application of data and information; answers "how" questions

  • Understanding: appreciation of "why“

  • Wisdom: evaluated understanding.

Challenges in prevention
Challenges in Prevention there.’

The work requires:

  • Substantial knowledge and skill

  • Entails many steps (ex: assessing need, setting priorities, planning/delivering programs, monitoring, and evaluation.)

  • Implementation in varied settings and communities

    • Requiring tailoring

  • Adherence to model fidelity

Other complicating factors
Other Complicating Factors there.’

  • Getting enough data vs. being a burden

  • Credible numbers vs. “we know things are better”

  • Determining the right focus at the right time

    • process vs. outcomes

    • quantitative vs. qualitative

Types of data
Types of Data there.’


  • Process evaluation looks at a program’s implementation and establishes whether quantifiable targets have been achieve and strategies implemented as planned.

  • Can be useful determining whether a program should be refined continued, expanded, or eliminated.

  • Process data includes information such as the total program participants, demographics, how many homevisits have been completed per client, etc.


  • Outcome evaluation measures the change that has occurred as a result of a program.

  • An outcome evaluation would tell you how many program participants demonstrated changed behaviors as a result of programmatic activities i.e. initiated breastfeeding, quit using drugs or alcohol, improved test scores, returned to school or work, etc.

Types of data1
Types of Data: there.’



  • Data that can be accurately represented numerically.

  • Data that can be measured.

  • Mathematic measurements, frequency of events, or categorical surveys (Yes/No, or rate a response on a 1-5 scale, etc).

  • Length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc


  • Descriptions

  • Data can be observed but not measured.

  • Colors, textures, smells, tastes, appearance, beauty, etc.

  • Includes things like verbal interviews or surveys that ask questions that are open ended

Maternal infant early childhood home visiting miechv program
Maternal there.’, Infant, &Early Childhood Home Visiting (MIECHV) Program

  • Facilitates collaboration and partnership to improve health and development outcomes for at-risk children through evidence-based home visiting programs.

  • Program Purposes:

    • Strengthen and improve the programs and activities carried out under Title V of the Social Security Act;

    • Improve coordination of services for at-risk communities; and

    • Identify and provide comprehensive services to improve outcomes for families who reside in at-risk communities.

  • MIECHV includes grants to states and six jurisdictions; as well as grants to tribes and tribal organizations.

Maternal infant early childhood home visiting miechv program1
Maternal, Infant, & Early Childhood Home Visiting (MIECHV) Program

  • MIECHV is an evidence-based policy initiative.

    • Requires that the majority of grant funds (75% or more) to be spent on programs to implement evidence-based home visiting models. 

    • Up to 25 percent may be spent on promising approaches that must be rigorously evaluated

  • Currently, 14 home visiting models meet the HHS criteria for evidence-based home visiting.

  • Florida Association of Healthy Start Coalitions oversees in Florida. Ten sites funded.

Florida s benchmark plan
Florida’s Benchmark Plan Program

  • Legislation authorizing MIECHV funding requires that all programs collect data to evaluate program performance and outcomes across six benchmark areas for all enrolled families:

    • Maternal and child health;

    • Childhood injuries and abuse and neglect;

    • School readiness;

    • Domestic violence;

    • Family economic self-sufficiency; and

    • Coordination of services.

  • Florida’s online data collection system – Florida Home Visiting Information System (FLOHVIS)

  • For more information contact Virginia Holland, Data Manager ([email protected]).

Data in daily practice
Data In Daily Practice Program

  • Using data on a day to day basis doesn’t have to be complicated or difficult to understand

    • You do it already, many times a day

  • Goal: Move from informal usage of data, to conscious focus on analysis

  • In other words: Ongoing Quality Improvement or CQI

Types of analyses
Types of Analyses Program

  • Root Cause Analysis (RCA) is the formal search for an individual or group of true causes of a problem and not just the symptoms.

    • more than just one root cause to a problem often exists and they can interact with each other.

  • RCA can capture both the big-picture perspective and the details. It can also be pointed at any problem, both simple and complex.

  • Simplest technique: Ask ‘Why’ five times…

Types of analyses1
Types of Analyses Program

The Plan-Do-Study-Act (PDSA) cycle is a simple yet powerful tool for accelerating quality improvement. The PDSA cycle is shorthand for testing a change—by planning it, trying it, observing the results, and acting on what is learned. This is the scientific method, used for action-oriented learning.

The steps in the PDSA cycle are:

  • Step 1: Plan--Plan the test or observation, including a data collection plan

  • Step 2: Do -- Try out the test on a small scale

  • Step 3: Study--Set aside time to analyze data and study the results

  • Step 4: Act--Refine the change, based on what was learned from the test

Exercise Program

Real life example
Real Life Example: Program

  • Home visiting staff weren’t entering data into the program and state’s reporting systems in a timely fashion, resulting in negative actions by the state oversight agency and payment penalties.

    • Core Reason Why:

      • Staff didn’t adequately understand or have comfort with operating the computers and subsequently the database system.

    • Response: Training AND modification of hiring practices

Organizational example nfp
Organizational Example - NFP Program

Continuous Improvement

Quality Framework

Quality Improvement Process Program






Measure, Analyze & Evaluate

Activities to consider
Activities to Consider Program

  • Have a two hour meeting to review current work (no more, no less)

    • Identify all key areas

    • Reflect on data, resources, and results

    • Chose 1 or 2 initiatives to stop and/or start

    • Set ‘by when’

    • Identify three points in time where you can report out on your efforts

      • Ex: Team Meeting, Staff event, Board Presentation, Community Meetings

Activities to consider1
Activities to Consider Program

  • Make daily operations more efficient, easier, rewarding….

    • Survey employees, clients, etc. for processes/activities that are duplicative, time-consuming, nonsensical.

    • Identify one activity (or more) you could eliminate immediately and then stop doing it.

    • For activities that are necessary are there areas for potential streamlining?

Activities to consider2
Activities to Consider Program

  • Elevator speeches and key statistics statements

    • If you don’t have them, create them as a team or ask individual team members to each develop one then discuss

  • Set a ‘What by when’ goal or create a 100 day challenge