Data Collection Improving Program Effectiveness Through the Use of - - PowerPoint PPT Presentation

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Data Collection Improving Program Effectiveness Through the Use of - - PowerPoint PPT Presentation

Data Collection Improving Program Effectiveness Through the Use of Data Presented to: What Works! Summit Sept. 30, 2015 Objectives Participants will understand the point and purpose of data collection Participants will understand the use of


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Data Collection

Improving Program Effectiveness Through the Use of Data

Presented to: What Works! Summit

  • Sept. 30, 2015
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SLIDE 2

Objectives

  • Participants will understand the point and

purpose of data collection

  • Participants will understand the use of data to

inform business decisions

  • Participants will be able to identify tools and

methods of data collection

  • Participants will be able to list barriers to accurate

data collection

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SLIDE 3

What Is This Data Collection Thing?

  • Love It?
  • Answers?
  • Outcomes?
  • Statistics?
  • Information?
  • Evaluation?
  • Checks & balances?
  • Measures?
  • Quantitative?
  • Qualitative?
  • Math?
  • A Process?
  • Necessary?
  • Variables?
  • A Pain?
  • Nonsense?
  • A Ding?
  • Don’t care

about it?

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SLIDE 4

Data Collection Is……

  • the process of gathering and

measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research question hypotheses, and evaluate outcomes.

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This Data Collection Thing is NOT

  • Love It
  • Answers
  • Outcomes
  • Statistics
  • Information
  • Evaluation
  • Checks & balances
  • Measures
  • Quantitative
  • Qualitative
  • Math
  • A Process
  • Necessary
  • Variables

A Pain Nonsense A Ding Don’t care about it Don’t care about it

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SLIDE 6

Why Collect Data?

  • If no data is collected, several questions will

naturally come to mind when observing how a program operates.

– Are the services being provided correctly? – Are enough people being served? – Are the funds for the program being utilized properly?

  • Without data being collected it is difficult to make

determinations on the various aspects of the services being provided.

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Consider….

  • An agency wants to launch a new treatment/service but remains

concerned about staff expansion and utilization – Q. Should we move forward?

  • Community stakeholders want to reduce school drop out and high

crime in a particular area in the city intervention addresses only part of the issue – Q. Are funds being used properly?

  • An agency director knows that treatment results should yield

higher levels of success but something wrong – Q. Why is it not working for the population – Q. What if anything needs to be adjusted or changed?

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Why Collect Data!

  • Data is the life line of any business

– It helps one marketing decisions and fine‐tune new product launch strategy – Breaks a macro picture into a micro one – Acquires meaningful insights from the dataset – Bases critical decisions on findings – Rules out human bias through proper statistical treatment

  • Data is a decision supporting system
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SLIDE 9

Improving Program Effectiveness

  • A program’s effectiveness can be

determined through the collection of data. This allows us to see:

– What works? How can we continue it? – What isn’t working? How can we improve it?

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How to Collect Data

  • Develop time frame to collect data

– How often does the data need to be collected?

  • Repeatable

– The mechanism used to collect the data (both the form and the submission process) must be something that can be used as

  • ften as data needs to be collected.
  • Clear and Concise

– The requirements of the people generating the data cannot be so demanding that they struggle to pull the data together or cannot dedicate the time to collect it

  • Hold people turning data in responsible
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Data Collection Methods Include

  • Face‐to‐face or telephone interviews
  • Computer‐assisted data sheets
  • Questionnaires that are either personally, electronically or

administered through the mail

  • Observation of individuals and events with or without

videotaping or audio recording

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SLIDE 12

Example Of Computer Assisted Data Sheet

  • Bob could you insert a DC tracker to show

an example of bullet #2

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SLIDE 13

Obstacles to Data Collection

  • Accuracy
  • Non – Existent Standards of Protocol
  • Interpretation
  • Connected to locally and clearly defined goals
  • Training
  • Collection Tools
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Consequences from Improperly Collected Data Include

  • Inability to answer research/impact questions accurately
  • Inability to repeat and validate interventions
  • Distorted findings resulting in wasted resources
  • Misleading others to pursue fruitless avenues of investigation
  • Compromising decisions for public policy
  • Causing harm to human participants
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Why Protocols

  • Irrelevant or duplicate data collected
  • Pertinent data omitted
  • Erroneous or misinterpreted data collected
  • Too little data acquired from client
  • Data base format causes disorganized profile
  • Poor documentation from staff
  • Conflicting data
  • Insufficient time
  • Lack of equipment
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Clearly Defined Goals

  • Stakeholders goal or expected outcome is too general
  • Goals or expected outcomes does not derive meaningful

results that can inform decisions

  • Goals or expected outcomes is not measurable or observable
  • Client, provider, stakeholder not involved – what is measured

is of little to no value

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Getting to Clearly Defined Goals

Make sure you have

  • A brief description of the project
  • The specific data that is needed
  • The rationale for collecting the data
  • What insight the data might provide (to a process being

studied) and how it will help

  • What will be done with the data once it has been collected
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SLIDE 18

Determining WHAT to Measure

  • Too much data is almost as bad as no data

– Effective measurement is the goal – “Paralysis by analysis” must be avoided

  • Identify data points that touch on all aspects of program operation for

collection

– All facets of program operation should be considered (cases being seen, cases completed, staffing, finances, etc.)

  • Make sure that the data requested is data that can be readily obtained

– If a data point requires too much time to collect, the chances of it being consistently collected decrease significantly

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SLIDE 19

Determining HOW to Measure

  • Once data is obtained, it must be interpreted correctly in
  • rder to understand how successful operations are
  • Reasonable stratifications of performance are important in

proper evaluation

  • Periodic reviews of stratifications must be done to make sure

that they are giving the performance evaluations that are desired

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Using Data to Make Decisions

  • Having identified the data points to monitor, it is important to use

the data to help make program management decisions

  • Perspective needs to be used to understand trends vs. individual

data points

– One must not read too much into small sample sizes

  • Specific events that have taken place in operations (an

employee/therapist leaving the company, etc.) must be considered when interpreting the data

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Reporting

Data reporting is the process of preparing and disseminating findings to the community

  • Monitor, convert & deploy your data

– Observe for trends – Converted into more understandable and precise presentation formats, such as charts, files or graphs – Create written data report – Distribute report to those parties that need it

  • Determining your audience

– Whenever reporting out on data, it is crucial that you understand who is going to be reviewing the reporting – Understand that different levels of staff maybe interested in different levels of detail

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When Reporting

  • Beware of External Influences that could skew report

– Professional competition – Job security – Unclear guidelines from funding sources – Publication pressure

  • Beware of Internal Influences that could skew report

– Individual ego or vanity – Personal financial gain – Incompetence – Sloppy writing/reporting

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SLIDE 24
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Be Sure to Report

  • If your intervention/ program had exactly the effects

you expected and hoped it would.

  • If your program/ intervention had no effect.
  • If your program/ intervention had a negative effect.
  • If your program/ intervention had the effects you

hoped for and other effects as well.

  • If your program / intervention gives you a clear

indication that what you’re doing is accomplishing your purpose

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QUESTIONS?

  • Leslie Byam, DC Project Director, EBA, lbyam@ebanetwork.com
  • Bob Sayles, IT Director, EBA, bsayles@ebanetwork.com
  • Leslie Serena, Executive Director, Camelot Community Care,

LSerena@camelotcommunitycare.org

  • Jennifer Bonness, Camelot Community Care, Clinical Director,

JBonness@camelotcommunitycare.org