Outcome Performance Measures
Presentation Derived from
Martin & Kettner’s Measuring the Performance of Human Service Programs,
Sage, 1996
1.
Defining
Outcome Measures
Results or Accomplishments that
are attributable at least in part to a service program (GASB, 1994)
2.
Perspectives
in Caregiving
- Problem Approach: I.E.
client has housing problem, drug problem etc. is good for diagnosis
- Quality-of-Life Approach:
focuses on end states and attempt to move client toward one of a number
of desirable end states.
3.
Performance
Outcome Measures: 4 Types
Numeric Counts
- used to measure client conditions,
status; behavior
Standardized Measures
- used to measure client feelings,
attitudes, etc.
Level of Functioning Scales
- measures client, family functioning
or condition
Client Satisfaction
- measures client perceptions
4
Intermediate
& Ultimate Outcomes
Intermediate Outcome Performance
Measures
- Numeric Counts
- Standardized Measures
- LOF Scales
- Client Satisfaction
Ultimate Outcome Performance
Measures
- Numeric Counts
- Standardized Measures
- LOF Scales
5.
Selecting
Outcome Performance Measures
- Step 1: Use focus group
which includes a representative group of stakeholders to discuss how to
assess quality outcomes
- Step 2: As many outcome
performance as possible should be identified
- Step 3: Group should arrive
at a consensus on the best two outcome performance measures for the particular
program
6.
Cause &
Effect
- In many cases cause & effect
relationships between program activities and outcomes cannot be established
- In other cases cause & effect
relationships may exist to the extent that programs contributed, and maybe
even contributed significantly to an outcome
- However, in most cases we avoid
the word "cause" and speak of "program contributions"
toward a change etc.
7.
Social Indicators
As Ultimate Outcome Measures
- Definition: Data that enable
evaluative judgements to be made about social problems in a community or
state (Miller, 1991)
- Social Indicators as Ultimate
Outcome Measures: Examples
- Benchmarking in Oregon (Oregon
Options)
- Goals 2000
- Healthy People 2000
8.
Assessing
The Four Types of Outcome Performance Measures: Criteria
- Utility: percentage of
information considered useful
- Validity: measures what
it purports to measure
- Reliability: measure produces
same result repeatedly
- Precision: capturing incremental
changes
- Feasibility: implemenability
of measure
- Costs: relative start
up & maintenance costs of measure
- Unit Cost Reporting: ability
to generate cost per outcome data
9.
Numeric
Counts
Numeric
Counts:Various Definitions
- Include demographics and characteristic
data related to client flow
- Nominal measures relating to
client flow
- critical events that reflect,
- an undesirable occurrence that
an agency is trying to prevent or avoid
- a desirable occurrence that the
agency is attempting to achieve.
10.
Numeric
Counts: Examples
I&R
- intermediate output performance
measure (unit of service): one referral
- output with quality dimension:
one appropriate referral
- outcome performance measure
- intermediate: one client
receiving assistance
11.
Numeric
Counts: Examples
Counseling
- intermediate output performance
measure (unit of service): one hour
- output with quality dimension:
one hour with counselor of record
- outcome performance measure
- intermediate: one client
demonstrating improved behavior
- ultimate: one client no
longer needing service
12.
Florida
Division of Families & Children Model (Examples)
Developmental Disabilities:
Behavior Management
- one client reported to be exhibiting
maladaptive behaviors
- one client with a current behavior
checklist in his/her file
Aging & Adult Services:
Adult Day Care Services
- one client returned to independent
living status
- one client prevented from entering
a long-term care facility
- one client entering a nursing
home facility
13.
Preference
for Numeric Counts:
- SEA reporting standards promotes
use of numeric counts
- Government Performance &
Results Act of 1993 also promotes use of numeric counts
- Governmental human service programs
also prefer numeric counts
14.
Assessing
Numeric Counts as a Measurement Type
- Utility High
- Precision Low
- Validity Low to Medium
- Reliability Feasibility High
- Cost Low to Medium
- Unit Cost Reporting High
15.
Standardized
Measures
Defining
Standardized Measures
- Standardized measures are validated,
reliable and normed pre- post-test measures used to assess quality-of-life
changes in clients
16.
Standardized
Measures: Examples
- Barthel Index
- Caregiver Strain Index
- Index of Clinical Stress
- Beck Depression Scale
- Folstein Mini-Mental Assessment
17.
Focus Areas
for Standardized Measures
- Population
- behavior
- attitude
- problem
- intra-personal or interpersonal
functioning
- development
- personality
- achievement, knowledge, aptitude
- services
18.
Likert -
Scales
Most standardized measures use
Likert Scale response formats which are typically treated as ordinal or
continuous data
19.
Translating
Standardized Measures Into Numeric Counts: Examples
- Number of clients demonstrating
measurable improvement
- proportion of clients who demonstrate
measurable improvement relative to the number of clients receiving a full
complement of services
- number of clients demonstrating
clinical improvement (comparing pre- to post-treatment)
20.
Translating
Standardized Measures Into Numeric Counts: Examples
- proportion of clients who demonstrate
clinical improvement to the total of clients who completed treatment
- Proportion of Clients who achieve
a target level of improvement
- proportion of clients who achieved
a target level of improvement to the total number of clients who completed
treatment
21.
An Assessment
of Standardized Measures
- Utility Low to High
- Validity High
- Reliability High
- Precision Medium to High
- Feasibility Low
- Cost High
- Unit Cost Reporting Low
22.
Level of
Functioning Scales
Level of
Functioning Scales (LOFs): What are They?
Before & after client assessment
tools designed for use with a particular human service program that attempts
to capture an important dimension of client functioning
23.
LOF Characteristics
- LOFs are typically focused on
only one dimension of client functioning
- Consequently, LOF’s are typically
used in combination to assess multiple dimensions of client functioning
- LOFs are typically (but not always)
ranked from very low to very high
24.
Principles
of Designing an LOF Scale
Conceptual Framework: Dimensions
of functioning and descriptors anchoring the assessment scale must be based
upon a thorough understanding of the program, clients, and the underlying
problem
Developing Descriptors:
- should describe levels of functioning
- should discriminate between different
function levels
- should accurately reflect client
behaviors
25.
Principles
of Designing an LOF Scale
Respondent Considerations:
- Developing Scales with Client
in Mind
- observe client
- ask client
- get information on client from
third party
26.
Observing
Clients
- Identifying Behavior to be
Observed: Involves becoming familiar with scales first, then observing
clients
- Site of Observation: Behaviors
change with setting so choose setting or settings
- Frequency of Observation:
Utilize a discrete of settings in which the respondent uses to complete
an LOF scale.
27.
Observing
Clients
- Avoid Influencing the Observation
Situation: Influencing situation make the observed behavior less typical
of the client
- Reliability of Observation:
Procedures should be setting for making observations and collecting data,
so that different observations are comparable to one another
28.
Constructing
LOF Scales: Key Steps
- Step 1: Select the Functions
to Be Rated: All functions selected should be expected to change as
a consequence of participating in the program
- Step2: Select the Number of
Points on the Scale: Minimum of 3 points (still problematic) to a maximum
of 8 points. Usually use 5 point scale
- Step 3: Write the Descriptors:
Should be based on typical, observable verified client behaviors
29.
Constructing
LOF Scales: Key Steps
- Step 4: Field Test the LOF
Scales: Use on a small scale to obtain experience in observation and
coding
- Step 5: Test Reliability of
LOF Scale: When used across many observations of the same client or
client group are comparable observation results obtained.
30.
Assessment
of LOF Scales
- Utility Low to High
- Validity Medium to High
- Reliability Medium to High
- Precision Medium
- Feasibility Low
- Cost High
- Unit Cost Reporting Low
31.
Client Satisfaction
Client Satisfaction
Measures
- Generates personal attitudes,
opinions, feelings and choices
- Typically scaled from "Not
Helpful at All" to "Very Helpful" or "Extremely Helpful"
32.
Assessment
of Client Satisfaction Measures
- Utility Medium
- Validity Low to Medium
- Reliability Medium
- Precision Low
- Feasibility Medium
- Cost Low to High (start-up)
- Unit Cost Reporting High
Assessment
of Four Types of Outcome Performance Measures
33.
Issues in
Selecting, Collecting, Reporting & Using Performance Measures
Recurring
Problems in Federal Grants
- Failing to relate performance
measures to a program’s mission
- Relying too heavily on existing
data
- Excluding stakeholders from the
process
- Selecting too few quality performance
measures
34.
Three Key
Questions in Reporting Performance Measurement Data
- How often should performance
measurement data be reported? At least annually, semi-annually to quarterly
is more functional
- How much time does it take
to collect and aggregate performance measurement data? If performance
data is collected regularly and automated then time required ranges from
10 to 20 hours to collect and aggregate a year’s worth of data
35.
Three Key
Questions in Reporting Performance Measurement Data: Displaying Performance
Measurement Data:
- Inputs: Financial Resources
in $; personnel in FTE
- Outputs: intermediate
(time, material); final outputs (service completions)
- Quality: client satisfaction
%; Outputs with quality dimensions
- Outcomes & Ultimate Outcomes:
intermediate outcomes (numeric counts of quality outcomes
36.
Three Key
Questions in Reporting Performance Measurement Data: Displaying Performance
Measurement Data:
- Cost Efficiency Ratios:
Cost per intermediate outputs, & final outputs per FTE; cost per final
output
- Cost Effectiveness Ratios:
Cost per intermediate outcome, costs per intermediate & final outcomes
per FTE, and cost per ultimate outcome.