Financial Capability in Addiction Research and Clinical Practice

Identifying components of recovery capital that support substance use disorder treatment completion

Purpose

Individuals who do not complete substance use disorder treatment (SUDT) have similar outcomes to the untreated. Recovery capital (RC) is the collection of one's resources that contribute to the initiation and maintenance of sobriety. The aim of this paper was to identify individual measures of RC that are associated with SUDT completion.

Methods

RC data for 69 residents from a men's recovery center was obtained from questionnaires administered to residents at intake and after SUDT graduation or dismissal. Participant data was divided into two groups, Graduates (n = 39, age 35.87±10.83) and Non-Graduates (n = 30, age 34.35±14.44), and retrospectively analyzed to compare RC between groups at various points during SUDT and which RC measures are associated with SUDT completion.

Results

At baseline all participants reported limited RC and there was no significant difference in RC between groups. At graduation, Graduates reported significantly more RC in all measures when compared to baseline and Non-Graduates at dismissal. Non-Graduates reported a significant increase in Checking and Savings at dismissal but no other measure.

Conclusion

Baseline levels of RC in both groups were limited and not significantly different which limited the capacity of the study to identify measures of RC associated with SUDT completion. A lack of RC at onset of SUDT did not preclude SUDT completion and obtaining RC during SUDT was associated with completion as only Graduates reported increases in RC. Future study designs should include participants with variable amounts of RC when entering SUDT.

How Financial Beliefs and Behaviors Influence the Financial Health of Individuals Struggling with Opioid Use Disorder

The surge in opioid use disorder (OUD) over the past decade escalated opioid overdoses to a leading cause of death in the United States. With adverse effects on cognition, risk-taking, and decision-making, OUD may negatively influence financial well-being. This study examined the financial health of individuals diagnosed with OUD by reviewing financial beliefs and financial behaviors. We evaluated quality of life, perceptions of financial condition during active use and recovery, and total debt. We distributed a 20-item survey to 150 individuals in an outpatient treatment program for OUD in a large metropolitan area, yielding a 56% response rate. The results revealed low overall financial health, with a median debt of USD 12,961 and a quality-of-life score of 72.80, 9.4% lower than the U.S. average (82.10). Most participants (65.75%) reported improved financial health during recovery, while a higher majority (79.45%) worsened during active use. Unemployment affected 42% of respondents, and 9.52% were employed only part-time. Regression analysis highlighted a strong association between lack of full-time employment and a lack of financial advising with total debt. High financial anxiety and active use were associated with lower quality of life. Individuals with OUD may benefit from financial interventions, resources, and counseling to improve their financial health.

Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum

BACKGROUND

Smartphone-based apps are increasingly used to prevent relapse among those with substance use disorders (SUDs). These systems collect a wealth of data from participants, including the content of messages exchanged in peer-to-peer support forums. How individuals self-disclose and exchange social support in these forums may provide insight into their recovery course, but a manual review of a large corpus of text by human coders is inefficient.

OBJECTIVE

The study sought to evaluate the feasibility of applying supervised machine learning (ML) to perform large-scale content analysis of an online peer-to-peer discussion forum. Machine-coded data were also used to understand how communication styles relate to writers' substance use and well-being outcomes.

METHODS

Data were collected from a smartphone app that connects patients with SUDs to online peer support via a discussion forum. Overall, 268 adult patients with SUD diagnoses were recruited from 3 federally qualified health centers in the United States beginning in 2014. Two waves of survey data were collected to measure demographic characteristics and study outcomes: at baseline (before accessing the app) and after 6 months of using the app. Messages were downloaded from the peer-to-peer forum and subjected to manual content analysis. These data were used to train supervised ML algorithms using features extracted from the Linguistic Inquiry and Word Count (LIWC) system to automatically identify the types of expression relevant to peer-to-peer support. Regression analyses examined how each expression type was associated with recovery outcomes.

RESULTS

Our manual content analysis identified 7 expression types relevant to the recovery process (emotional support, informational support, negative affect, change talk, insightful disclosure, gratitude, and universality disclosure). Over 6 months of app use, 86.2% (231/268) of participants posted on the app's support forum. Of these participants, 93.5% (216/231) posted at least 1 message in the content categories of interest, generating 10,503 messages. Supervised ML algorithms were trained on the hand-coded data, achieving F1-scores ranging from 0.57 to 0.85. Regression analyses revealed that a greater proportion of the messages giving emotional support to peers was related to reduced substance use. For self-disclosure, a greater proportion of the messages expressing universality was related to improved quality of life, whereas a greater proportion of the negative affect expressions was negatively related to quality of life and mood.

CONCLUSIONS

This study highlights a method of natural language processing with potential to provide real-time insights into peer-to-peer communication dynamics. First, we found that our ML approach allowed for large-scale content coding while retaining moderate-to-high levels of accuracy. Second, individuals' expression styles were associated with recovery outcomes. The expression types of emotional support, universality disclosure, and negative affect were significantly related to recovery outcomes, and attending to these dynamics may be important for appropriate intervention.

Financial Acumen Improves After Financial Literacy Training in Individuals With Substance Use Disorder

Financial literacy is a skill that may be affected by decreased cognitive processes that arise from substance use disorder. The aim of this mixed-methods study was to determine change in financial acumen after participating in a financial literacy program. Study participants were recruited from a drug and alcohol treatment center in the Southeastern United States. A total of 31 males participated. A t-test was conducted to compare the scores on the financial tests. There was a significant difference between the financial literacy pretest (M = 74, SD = 13.58) and posttest (M = 84, SD = 10.50) scores; t(30) = -3.14, p = .003. Categories that emerged when participants were asked how the information would help manage their finances included: goal setting, saving, and understanding financial institutions. This study "provides preliminary evidence" that supports financial literacy program for this population and indicates that occupational therapy is a profession suited to do so.