Commonly Used Outcomes Measures
Introduction
Outcomes are the results of a program鈥檚 services for its clients or community. They measure changes in clients鈥 circumstances, conditions and attitudes that result from the program鈥檚 work or changes in organizations and institutions directly affecting clients鈥 lives.
Although legal services providers collect and analyze a range of outcomes data, the outcomes data most widely used by legal services programs are non-financial and financial outcomes.
These data can be most effectively and efficiently collected and analyzed when they correspond to or are based on the LSC Case Service Report system 鈥減roblem code鈥 areas (e.g., Consumer, Housing, Family, Employment) and are collected only for extended services cases (LSC CSR case closing codes F-L), not for limited services cases (LSC CSR case closing codes A and B).
State funders (e.g., IOLTA programs) in Maryland, New York, Texas, and Virginia require their grantees to collect and report similar non-financial and financial outcomes data. Some programs collect these data even if they are not required to do so by state funders. Also, some programs combine different types of outcomes data to develop 鈥渉igher-level鈥 outcomes.
The following provides information about the Virginia IOLTA outcome measures used by legal services providers in the state; the outcome measures used by Cleveland Legal Aid Society; examples of 鈥渟uccess rate鈥 measures used by programs; and other outcomes data that are important but hard to collect.
The Virginia IOLTA Model for Using Outcome Measures
The Virginia legal aid programs collect and report the non-financial and financial benefits they provide clients through their extended services cases to the 成人抖阴 of Virginia (LSCV), the state funder. The LSCV system is very similar to the outcomes measures systems used by the IOLTA funders in New York and Texas. (All three systems were developed with assistance from .)
- Non-financial benefits. Programs collect and report outcomes for cases closed in 12 areas that correspond to the LSC CSR legal problem categories. .
Some legal problem categories have more outcome options than others. Here are some examples:
Consumer/Finance category鈥20 different possible outcomes, such as:
- 鈥淥btained federal bankruptcy protection鈥
- 鈥淪topped or reduced debt collection activity鈥
Family category鈥32 different possible outcomes, such as:
- 鈥淥btained or maintained custody of children鈥
- 鈥淥btained protection from domestic violence鈥
- 鈥淥btained, preserved, or increased child support鈥
Information is also provided for the 鈥渘umber of persons directly affected鈥 for each of these outcomes.
- Financial benefits. Virginia鈥檚 legal aid programs collect and report two categories of financial outcomes data.
- Direct dollar benefits for clients. These are for 鈥渁ffirmative dollar awards鈥 to clients. Affirmative benefits are reported for the amounts of 鈥渓ump sum awards/settlements鈥 and 鈥渕onthly benefits.鈥 Specific financial benefits categories include 鈥淪ocial Security/SSI,鈥 鈥淐hild Support,鈥 and 鈥淎ffirmative consumer judgments.鈥 .
- Dollar savings for clients. These outcomes are for 鈥渁mount of dollar savings achieved for clients through judgments or payments avoided,鈥 such as 鈥淒efensive Consumer Law Matters鈥 (e.g., bankruptcy, garnishment). .
Cleveland Legal Aid Society鈥檚 Use of 鈥淗igher Level鈥 Outcome Measures
Cleveland Legal Aid Society collects and analyzes both non-financial and financial outcomes data as part of the system it developed to meets its needs. However, Cleveland collects fewer categories of outcomes data than those used in the IOLTA models. In addition, Cleveland combines outcomes data for different case types to develop 鈥渉igher-level鈥 outcomes that correspond to the program鈥檚 strategic goals:
- Improving safety and health
- Promoting education and economic stability
- Securing decent, affordable housing
- Non-financial benefits. These describe the result of the case or matter, categorized by the LSC CSR problem code. For example, the outcomes for the Consumer/Finance area include 鈥渙btained monetary claim,鈥 鈥渞educed/avoided debt,鈥 鈥渋ncreased assets,鈥 and 鈥渙btained/restored utilities.鈥 .
- Financial outcomes. These outcomes include data regarding changes in the amounts of a client鈥檚 monthly income, assets, or debts that can be attributed to CLAS鈥檚 work. The two basic questions Cleveland uses when calculating financial data are: 鈥淚f Legal Aid had not been involved, what would the client鈥檚 [value/amount of income/asset/debt] be at the time the case was closed?鈥 and 鈥淲hat was the client鈥檚 [value/amount of income/asset/debt] at the time the case was closed?鈥 .
鈥淪uccess Rates鈥 Data
Some programs collect data regarding the success rates of their case work. These are based on whether the program鈥檚 representation achieved the goal(s) established by the client and advocate when the case was opened. Some programs provide three options to indicate the extent to which the goal(s) was or were achieved. For example, BRLS uses: 鈥淐lients' Goals Achieved,鈥 鈥淐lients' Goals Partially Achieved,鈥 and 鈥淐lients' Goals Not Achieved.鈥 The case handlers select the option based on their judgments of the case results.
- Cleveland Legal Aid uses a system in which advocates indicate for each outcome whether that outcome was achieved or not (or whether it was not applicable for that case). In that way, Cleveland Legal Aid is able to calculate its success rates (for example, percentage of evictions prevented). In addition, Cleveland Legal Aid gathers feedback from clients about these outcomes and to ensure accuracy of the data.
Important but Hard-to-Collect Outcomes Measures
Other outcomes are important for legal services programs. Examples include:
- Changes in clients鈥 assessments of their well-being or sense of empowerment
- Changes in the accessibility and responsiveness to clients of the courts or other public entities
However, these data are more difficult to collect and analyze than the outcomes measures discussed above. First, outcomes regarding clients鈥 鈥渨ell-being鈥 and the 鈥渞esponsiveness鈥 of public institutions are less concrete and therefore more difficult to define than case outcomes such as 鈥減reventing an eviction,鈥 鈥渞educing debt,鈥 or 鈥渙btaining SSI benefits.鈥 Second, outcomes data from extended services cases can be readily identified and entered into the case management system when the case is closed. In contrast, data regarding clients鈥 well-being or the responsiveness of public institutions require more expensive and time-consuming data collection activities (e.g., surveys, interviews, administrative data from public agencies). Programs can incorporate the data they collect into reports that enable them to show and analyze the results of their client services on a variety of dimensions. Read more about this.