Goal Attainment
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Assessing Goal Attainment at Mobius


Beginning in 2006, Mobius began phasing-in the assessment of attainment of goals identified within person-centered plans. Currently, over 40 individuals have had goals assessed utilizing a process which was modified from scales used with other service populations. The organization was seeking a method for assessing the effectiveness of individual plans and services in supporting positive outcomes for individuals.


Goal attainment scaling provides a means to assess the amount of relative change by considering information from any combination of measurement, observation and/or reporting sources. The process does not determine whether goals are relevant (meaningful to a person's wishes and
needs) or reasonably challenging for an individual. Those assurances can only be derived from qualitative review of an organization's person-centered planning process, and/or specific review of an individual plan. A manuscript, 'Assessing Goal Attainment for Quality Improvement (Lawlor & York),' describing the approach  has been published in the September, 2007 issue of the Journal of Intellectual Disabilities.


Assessment of goal attainment is most readily useful for designing individual plans on a case-by-case basis. The application of data resulting from aggregated ratings is more challenging to demonstrate at the program and organizational levels.   However, it can be useful for monitoring or troubleshooting purposes when applied with other organizational information.


Mobius currently utilizes a variety of information sources, in addition to assessing goal attainment, to assist with quality improvement efforts at the individual and program levels. The following instruments are utilized.


The National Core Indicator Project: A national instrument administered by provider agencies in Maine according to a specific schedule determined by the State. Includes key outcome indicators for service recipients within participating state systems.


Consumer Satisfaction Survey: Implemented annually by Mobius to determine consumer satisfaction with services and processes.


Person-Centered Planning Tools: Includes extensive strength and needs assessment, risk assessment, and any of fifteen optional tools.


Goal Attainment Data Analysis

Updated February, 2007


Initial analysis of goal attainment data has been limited to descriptive statistics and preliminary calculations for coefficients of rater reliability. Next steps for data analysis include: 1) expanded collection of goal attainment data and 2) identification of variables for correlation with goal attainment data.








The first bar graph above is a simple presentation of distribution of goals assessed by domain type.

The second graph depicts mean ratings by rater and domain types.

The graph directly above is an error bar graph that shows the average domain ratings for three rater types: consumers (RCLIENT); program managers (RMAN) and independent case managers (RISC). Family members responses were too few in number to be included in this presentation. Some comments about this graphic follow.

        - The mean is in the middle of each bar displayed.

        - The bars represent a 95 confidence level.

        - The length of the bars is a function of numbers of observations and the variability of the observations (ratings). As the      number of observations increase and the variability of the observations decrease, the bars get smaller.

        - When the bars overlap, that means that there are not statistically significant differences between the means of the raters. When the bars do not overlap, that means that there is a significance mean difference (DeSisto, 2007).

The graph shows visually that the primary difference among the three rater types is between the RISC and the RCLIENT goal attainment ratings in the social domain. This consistently reflects other findings in the literature which suggest that goals and outcomes within the social/inclusion/community-type domains are more difficult to predict, given the limited  control that support programs have on community  environments. (Gardiner & Carran, 2005; Krispjin, et. AL, 1999; Leon et. al., 1999).

 

Updated October 1, 2007 (DML)

Additional analysis conducted with Michael DeSisto involving assessment of goal attainment has been underway to examine associations between goal attainment and  other variables related to goal statements ,consumers and programs (see `Study Variables’ table below). Data collected can be grouped according to one of the following three types:

 

1.      goal-specific (ex. average ratings; goal statement quality;  quality of life domain type; skill or support type, maintenance or growth type)

2.      consumer-specific (ex. satisfaction; degree of involvement in setting own goals; degree of intellectual disability; community involvement)

3.      program-specific (ex. program type; related staff experience)

 

Correlations were found for the following variables:

   The extent that one:

     -     Sets own goals

     -     Exercises in the community

-         Attends community clubs

-         Sees friends other than staff or family

-         Participate sin community entertainment

-         Chooses work staff

 

An exploratory regression analysis to determine predictors of average goal attainment resulted in the following variables explaining 25% of the variance in goal attainment.

    The extent that one:

1.      Sets own goals

2.      Exercises in the community

 

The regression was limited to variables representing only 12 individuals and therefore is not conclusive. However, all of the analyses cited above do suggest that further analysis would be worthwhile. Discussions with quality assurance representatives of the Maine Department of Health and Human Services (DHHS) have resulted in identification of the following next steps to improve the quality of the study of assessment of goal attainment:

 

-         Develop and define a variable (or variables) to assess the quality of goal statements

-         Identify variables that, based on our preliminary analyses and the literature, hold promise for future meaningful study, and collect current data for 100% of the consumer population.

-         Evaluate constructs for quality of life domains for use in future analyses

 

Mobius is committed to continuing the study of individual goal attainment both to improve the quality of its programs and to study quality of life outcomes for persons with intellectual disabilities. To these ends, Mobius will seek to secure funding to support further study.





 

For further information about assessing goal attainment at Mobius, contact our director at: dlawlor@mobiusinc.org

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