Measuring Recovery from Substance Use or Mental Disorders Workshop Summary (2016) / Chapter Skim
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7 Data Collection Designs
7 Data Collection Designs
Pages 71-80
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From page 71... ...
She said that after conversations with the World Health Organization, the idea of using a new tool called the WHOQOL-8 emerged. The WHOQOL-8 comprises four domains: physical health, psychological health, social relationships, and environment.
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From page 72... ...
The participants were involved in one of three SAMHSA grant programs that were focused on the areas of housing and recovery services for individuals experiencing chronic homelessness, expansion of infrastructure to integrate co-occurring and housing services, and integrated primary and behavioral health care for individuals with serious mental illness. In terms of psychometric testing, Essex said that due to the small sample size the agency was not able to use advanced techniques, such as structural equation modeling or confirmatory factor analysis.
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From page 73... ...
The sample included women with both substance use and mental health issues, and about 10 percent had serious mental illness. The sample was followed for 3 years.
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From page 74... ...
, but a shorter version would be much more practical to administer, and, along with the substance use items, this set could provide all of the data that are needed. TRADEOFFS OF DIFFERENT DATA COLLECTION DESIGNS Dennis began his discussion of tradeoffs of different data collection designs by describing some common data collection strategies for measuring recovery, including duration questions, multiple intervals or recency, event history, and repeated measures.
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From page 75... ...
The measures include detailed days of substance use by substance in the past month and days of mental health problems by symptoms. Self-reported data are also collected on past-month days of service utilization in 12 areas: substance use, mental health, and physical health in outpatient, inpatient, and emergency department settings; days of medication; arrest and incarceration.
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From page 76... ...
The schedule for the GPRA data collected about individuals served by mental health grants is similar to that of the GPRA data on substance use: information is obtained at intake, 6 months, and at discharge. The data collection includes past month Likert measures of functioning, substance use, depression and trauma symptoms, perception of care, and social connectedness.
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From page 77... ...
Dennis argued that instead of trying to define recovery by one number, which has been ruled out as a reasonable option by other speakers, simply adding a duration item to a data collection instrument makes it possible to convey the richness of how recovery changes over time. He added that this approach can also be useful to illustrate the duration of remission from substance use disorder, where most of the change happens in the first 1-3 years after remission.
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From page 78... ...
For example, the probability of going from using in the community to being in recovery decreases as the number of mental health problems increases. The probability of sustaining abstinence increases as the number of sober friends increases.
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From page 79... ...
Finally, there is a need for more integration, norms, and cross validation of the NSDUH and GPRA measures, in the interest of better support for program evaluation. Dennis argued that the number of items needed to measure recovery is a concern, especially if NSDUH is being considered as a potential data collection vehicle.
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From page 80... ...
said that the advantage of the EQ-5D is that everyone is using it for creating QALY measures, and so it is possible to use it across disorders, which would be ideal for policy purposes. Dennis commented that it is important to remember that replacing the WHOQOL-8 with the EQ-5D would mean that dimensions such as life satisfaction are not measured and would have to be introduced some other way.
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