Evidence for the Effectiveness and Acceptability of e-SBI or e-SBIRT in the Management of Alcohol and Illicit Substance Use in Pregnant and Post-partum Women

Electronic-Screening, Brief Intervention and Referral to Treatment (e-SBIRT) for Addictive Disorders: Systematic Review and Meta-Analysis

BACKGROUND

Addictive disorders are significant global public health burdens. Treatment uptake with these disorders is low and outcomes can be mixed. Electronic screening, brief intervention, and referral to treatment (e-SBIRT) programs have potential to improve uptake and treatment outcomes. To date, however, no prior review of the literature has been conducted to gauge the effectiveness of e-SBIRT for addictive disorders.

METHODS

We conducted a systematic review and meta-analysis of the literature concerning e-SBIRT for addictive disorders by surveying the MEDLINE, PubMed, Web of Science, Scopus, Embase, and PsycInfo databases on January 17, 2023.

RESULTS

Ten articles were included at analysis reporting evaluation of e-SBIRT interventions for substance use disorders including alcohol use in a variety of settings. No articles were identified regarding treatment for behavioral addictions such as disordered/harmful gambling. Meta-analysis found e-SBIRT to be effective at reducing drinking frequency in the short term only. e-SBIRT was not found to be advantageous over control conditions for abstinence or other treatment outcomes. We identified and described common components of e-SBIRT programs and assessed the quality of available evidence, which was generally poor.

CONCLUSION

The present findings suggest that research regarding e-SBIRT is concentrated exclusively on higher-risk substance use. There is a lack of consensus regarding the effectiveness of e-SBIRT for addictive disorders. Although common features exist, e-SBIRT designs are variable, which complicates identification of the most effective components. Overall, the quality of outcome evidence is low, and furthermore, high-quality experimental treatment evaluation research is needed.

Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey

BACKGROUND

For almost two decades, researchers and clinicians have argued that certain aspects of mental health treatment can be removed from clinicians' responsibilities and allocated to technology, preserving valuable clinician time and alleviating the burden on the behavioral health care system. The service delivery tasks that could arguably be allocated to technology without negatively impacting patient outcomes include screening, triage, and referral.

OBJECTIVE

We pilot-tested a chatbot for mental health screening and referral to understand the relationship between potential users' demographics and chatbot use; the completion rate of mental health screening when delivered by a chatbot; and the acceptability of a prototype chatbot designed for mental health screening and referral. This chatbot not only screened participants for psychological distress but also referred them to appropriate resources that matched their level of distress and preferences. The goal of this study was to determine whether a mental health screening and referral chatbot would be feasible and acceptable to users.

METHODS

We conducted an internet-based survey among a sample of US-based adults. Our survey collected demographic data along with a battery of measures assessing behavioral health and symptoms, stigma (label avoidance and perceived stigma), attitudes toward treatment-seeking, readiness for change, and technology readiness and acceptance. Participants were then offered to engage with our chatbot. Those who engaged with the chatbot completed a mental health screening, received a distress score based on this screening, were referred to resources appropriate for their current level of distress, and were asked to rate the acceptability of the chatbot.

RESULTS

We found that mental health screening using a chatbot was feasible, with 168 (75.7%) of our 222 participants completing mental health screening within the chatbot sessions. Various demographic characteristics were associated with a willingness to use the chatbot. The participants who used the chatbot found it to be acceptable. Logistic regression produced a significant model with perceived usefulness and symptoms as significant positive predictors of chatbot use for the overall sample, and label avoidance as the only significant predictor of chatbot use for those currently experiencing distress.

CONCLUSIONS

Label avoidance, the desire to avoid mental health services to avoid the stigmatized label of mental illness, is a significant negative predictor of care seeking. Therefore, our finding regarding label avoidance and chatbot use has significant public health implications in terms of facilitating access to mental health resources. Those who are high on label avoidance are not likely to seek care in a community mental health clinic, yet they are likely willing to engage with a mental health chatbot, participate in mental health screening, and receive mental health resources within the chatbot session. Chatbot technology may prove to be a way to engage those in care who have previously avoided treatment due to stigma.

Implementation of a Perinatal Substance Use Screening Protocol in the Outpatient Setting

OBJECTIVE

To implement the 5Ps Screen for Alcohol/Substance Use tool and the screening, brief intervention, and referral to treatment (SBIRT) process into clinical practice to determine if enhanced training would improve perinatal providers' adherence to universal screening.

DESIGN

A quality improvement project using a pre- and postintervention design.

SETTING/LOCAL PROBLEM

Three community-based, outpatient obstetrics and gynecology clinics in southeastern Massachusetts. The local problem identified was that no validated screening tool was being used for universal screening of substance use in pregnancy.

INTERVENTIONS/MEASUREMENTS

Training consisted of two phases that reviewed the SBIRT process, the 5Ps screening tool, brief intervention conversations, and the process for referral to treatment. Pre- and postimplementation screening rates were compared and analyzed using descriptive statistics and chi-square tests of independence.

RESULTS

Preimplementation screening rates were 14.4%. Screening rates measured 1 month after implementation were 44.6% (p < .001). Universal screening was not achieved.

CONCLUSION

Short-term improvement in screening for perinatal substance use was observed. Whether these results are sustainable beyond the project time frame is unknown. Future work should examine longer-term outcomes and continued barriers to universal uptake of the screening protocol.

Substance use during pregnancy and risk of postpartum depression: a systematic review and meta-analysis

Introduction

Postpartum depression (PPD) is a prevalent mental health condition affecting women globally within the first year following childbirth. Substance use during pregnancy has been associated with an increased risk of developing PPD, but the evidence remains inconclusive. This meta-analysis aims to comprehensively assess the effects of different substances on PPD risk, exploring potential modifiers and confounding factors.

Objectives

To examine the proportion of PPD among substance users during pregnancy, compared to non-users, and investigate the specific risk associated with different substances (tobacco, alcohol, and non-specified substance use/multiple substance use).

Methods

A systematic literature search was conducted from inception to November 2022 using the Web of Science database (Clarivate Analytics), incorporating Web of Science Core Collection, the BIOSIS Citation Index, the KCI-Korean Journal Database, MEDLINE®, the Russian Science Citation Index, the SciELO Citation Index, and the Cochrane Central Register of Reviews, and Ovid/PsycINFO databases. Inclusion criteria comprised original studies with pregnant women, using validated depression scales and substance use reporting.

Results

Among the 26 included studies, encompassing 514,441 women, the pooled prevalence of PPD among substance users during pregnancy was 29% (95% CI 25-33). Meta-analyzes revealed an overall odds ratio (OR) of 3.67 (95% CI 2.31-5.85, p < 0.01) indicating a significantly higher risk of PPD among substance users compared to non-users. Subgroup analyzes demonstrated a higher risk for women with non-specified or multiple substance use (OR 4.67, 95% CI 2.59-8.41; p < 0.01) and tobacco use (OR 4.01, 95% CI 2.23-7.20; p < 0.01). Alcohol use showed a trend toward higher risk that did not reach statistical significance (OR 1.88, 95% CI 1.00-3.55; p = 0.051).

Conclusion

This meta-analysis provides evidence of an increased risk of PPD among pregnant substance users, particularly those using multiple substances or tobacco. However, caution is needed in interpreting the association with alcohol use due to its non-significant result.

Systematic review registration

This study protocol was registered at PROSPERO (registration number: CCRD42022375500).

Leveraging Digital Technology to Support Pregnant and Early Parenting Women in Recovery from Addictive Substances: A Scoping Review

Little is known about digital health interventions used to support treatment for pregnant and early parenting women (PEPW) with substance use disorders (SUD).

METHODS

Guided by the Arksey and O'Malley's Scoping Review Framework, empirical studies were identified within the CINAHL, PsycInfo, PubMed, and ProQuest databases using subject headings and free-text keywords. Studies were selected based on a priori inclusion/exclusion criteria, and data extraction and descriptive analysis were performed.

RESULTS

A total of 27 original studies and 30 articles were included. Varying study designs were used, including several feasibility and acceptability studies. However, efficacious findings on abstinence and other clinically important outcomes were reported in several studies. Most studies focused on digital interventions for pregnant women (89.7%), suggesting a dearth of research on how digital technologies may support early parenting women with SUD. No studies included PEPW family members or involved PEPW women in the intervention design.

CONCLUSIONS

The science of digital interventions to support treatment for PEPW is in an early stage, but feasibility and efficacy results are promising. Future research should explore community-based participatory partnerships with PEPW to develop or tailor digital interventions and include family or external support systems to engage in the intervention alongside PEPW.

Fetal alcohol spectrum disorders

Alcohol readily crosses the placenta and may disrupt fetal development. Harm from prenatal alcohol exposure (PAE) is determined by the dose, pattern, timing and duration of exposure, fetal and maternal genetics, maternal nutrition, concurrent substance use, and epigenetic responses. A safe dose of alcohol use during pregnancy has not been established. PAE can cause fetal alcohol spectrum disorders (FASD), which are characterized by neurodevelopmental impairment with or without facial dysmorphology, congenital anomalies and poor growth. FASD are a leading preventable cause of birth defects and developmental disability. The prevalence of FASD in 76 countries is >1% and is high in individuals living in out-of-home care or engaged in justice and mental health systems. The social and economic effects of FASD are profound, but the diagnosis is often missed or delayed and receives little public recognition. Future research should be informed by people living with FASD and be guided by cultural context, seek consensus on diagnostic criteria and evidence-based treatments, and describe the pathophysiology and lifelong effects of FASD. Imperatives include reducing stigma, equitable access to services, improved quality of life for people with FASD and FASD prevention in future generations.

Electronic Screening and Brief Intervention to Address Perinatal Substance Use in Home Visiting: A Qualitative Description of Intervention Development (Preprint)

BACKGROUND

Perinatal substance use (SU) is prevalent during pregnancy and the postpartum period and may increase the risks to maternal and child health. Many pregnant and postpartum women do not seek treatment for SU because of fear of child removal. Home visiting (HV), a voluntary supportive program for high-risk families during the perinatal period, is a promising avenue for addressing unmet SU needs. Confidential delivery of screening and brief intervention (BI) for SU via computers has demonstrated high user satisfaction among pregnant and postpartum women as well as efficacy in reducing perinatal SU. This study describes the development of the electronic screening and BI for HV (e-SBI-HV), a digital screening and BI program that is adapted from an existing electronic screening and BI (e-SBI) for perinatal SU and tailored to the HV context.

OBJECTIVE

This study aimed to describe the user-centered intervention development process that informed the adaptation of the original e-SBI into the e-SBI-HV, present specific themes extracted from the user-centered design process that directly informed the e-SBI-HV prototype and describe the e-SBI-HV prototype.

METHODS

Adaptation of the original e-SBI into the e-SBI-HV followed a user-centered design process that included 2 phases of interviews with home visitors and clients. The first phase focused on adaptation and the second phase focused on refinement. Themes were extracted from the interviews using inductive coding methods and systematically used to inform e-SBI-HV adaptations. Participants included 17 home visitors and 7 clients across 3 Healthy Families America programs in New Jersey.

RESULTS

The e-SBI-HV is based on an existing e-SBI for perinatal SU that includes screening participants for SU followed by a brief motivational intervention. On the basis of the themes extracted from the user-centered design process, the original e-SBI was adapted to address population-specific motivating factors, address co-occurring problems, address concerns about confidentiality, acknowledge fear of child protective services, capitalize on the home visitor-client relationship, and provide information about SU treatment while acknowledging that many clients prefer not to access the formal treatment system. The full e-SBI-HV prototype included 2 digital intervention sessions and home visitor facilitation protocols.

CONCLUSIONS

This study describes a user-centered approach for adapting an existing e-SBI for SU for use in the HV context. Despite the described challenges, home visitors and clients generally reacted favorably to the e-SBI-HV, noting that it has the potential to fill a significant gap in HV services. If proven effective, the e-SBI-HV could provide a way for clients to receive help with SU within HV, while maintaining their privacy and avoiding the overburdening of home visitors. The next step in this study would be to test the feasibility and preliminary efficacy of the e-SBI-HV.