Introduction

Suicide is a growing public health crisis in the United States. Between 2001 and 2020, the suicide rate for all ages in the United States increased by 30% (CDC, 2023). Nearly thirty percent of suicide decedents visited an outpatient mental health provider months, sometimes weeks before their death (Ahmedani et al., 2014), making mental health settings important venues for suicide risk detection. Individuals with a substance use disorder (SUD) are at significantly high risk for suicidal ideation, attempt, and death (Darvishi et al., 2015; Lynch et al., 2020; Poorolajal et al., 2016), with pronounced effects in those with alcohol use disorder (AUD) (Borges et al., 2017) or opioid use disorder (OUD) (Streck et al., 2022). Individuals with an AUD or OUD are 10 and 14 times more likely to die by suicide than the general population, respectively (Rizk et al., 2021). Given these elevated rates, it is critical that practices serving SUD patients can identify and evaluate suicide risk without overburdening practice workflows.

Various settings have implemented suicide risk screening, including outpatient specialty clinics (e.g., diabetes, podiatry) (Aguinaldo et al., 2021; Brahmbhatt et al., 2019; Spector et al., 2022). However, there are currently very few guidelines available to inform best practices for screening and managing suicide risk in virtual settings, which greatly increased in prevalence during the COVID-19 pandemic. Notably, among four million individuals who received SUD treatment, over half utilized virtual healthcare services to maintain access to healthcare amidst pandemic restrictions (SAMHSA, 2021). Recent studies have demonstrated the efficacy of virtual interventions for SUDs (Fiacco et al., 2021; Lin et al., 2019), which lower traditional barriers to treatment and grant various flexibilities (e.g., appointment times, medication management) that enable patient access to their providers.

There are currently no known guidelines for implementing suicide risk screening in virtual addiction clinics. To fill this gap, this quality improvement project (QIP) aimed to determine the feasibility of incorporating a suicide risk screening clinical pathway in a virtual addiction clinic that primarily serves those with AUD or OUD. Feasibility was operationalized in three domains: (1) Positive screen prevalence rate: Are suicidal ideation and behavior common enough in a help-seeking, high-risk SUD population to warrant screening? (i.e., studies of large samples of patients who were universally screened reported positive screen rates ranging from 1.3% to 8.5%) (Horowitz et al., 2010, 2022; Roaten et al., 2021); (2) Acceptability: Do clinic staff and patients find screening acceptable?; (3) Practicality: Can individuals who screen positive for suicide risk be managed effectively without disrupting clinic workflow? A secondary aim was to identify clinical correlates associated with screening positive for suicide risk. Case studies were provided to describe the process and benefits of screening SUD patients for suicide risk in a virtual addiction clinic.

Methods

Setting and Participants

This QIP was conducted among a convenience sample of patients ages 18 and older who presented for admission to Pelago, a virtual addiction clinic that provides video-based behavioral counseling, addiction pharmacotherapy, and self-guided psychoeducation and psychotherapy skills training exercises delivered through a smartphone application for individuals with SUD. The program is accessible to individuals in all 50 U.S. states who enroll through their employer. The clinic staff includes licensed drug and alcohol counselors who are certified by the International Certification & Reciprocity Consortium, staff physicians, and nurse practitioners. All patient data, including a multidimensional assessment guided by the American Society of Addiction Medicine’s criteria for placement, care continuity, transfer, or discharge of patients with addiction and co-occurring conditions (e.g., psychotic disorders, acute mania or other primary conditions that warrant immediate and/or higher intensity care), questionnaires, and care documentation were stored in an electronic medical record system. Data used in the present QIP were deidentified and exempt from institutional review board approval.

Screening Implementation

In January 2022, Pelago leadership contacted the Ask Suicide-Screening Questions (ASQ) research team at the National Institutes of Mental Health (NIMH) for guidance on adapting and implementing the Telehealth Suicide Risk Pathway (NIMH, 2023) with associated operating procedures. Through an iterative plan-do-study-act (PDSA) approach, Pelago led the QIP over a period of 9 months (January 2022–September 2022). Given the nature of the virtual clinic setting, in which individuals seek treatment services primarily to address substance use, the ASQ screening tool (Horowitz et al., 2012) (Fig. 1) was selected as a brief (20-s), psychometrically sound assessment due to the potential ease of integration into the virtual clinic’s existing diagnostic procedures, with the option for extended evaluation of suicidality among those for whom risk is detected. The ASQ was integrated into the initial multidimensional assessment interview, conducted during the first visit between patients and their assigned licensed drug and alcohol counselor. A Clinical Safety Team channel was established on the Pelago’s instant messaging communication platform (Slack) to designate a weekly safety officer who provided support to counselors if they encountered a patient with active suicidal thoughts. All positive screens were followed up in real-time with the second step in the pathway, the ASQ Brief Suicide Safety Assessment (BSSA).

Fig. 1
figure 1

Ask Suicide-Screening Questions (ASQ) tool

Plan-Do-Study-Act Implementation

Phase 1: Plan

The initial planning of the QIP involved selection of the ASQ for its validity across various medical settings (Aguinaldo et al., 2021; Horowitz et al., 2012; Horowitz Snyder et al., 2020; Horowitz Wharff et al., 2020) and brief nature, which encouraged ease of administration. The suicide risk screening pathway was modeled after the ASQ Toolkit COVID-19 screening pathway that was adapted for virtual settings (NIMH, 2023).

Counselors and nurse practitioners attended a suicide prevention training webinar in February 2022. The training content included a brief overview of suicide epidemiology, with a focus on individuals with SUD. Best practices according to suicide prevention research and Joint Commission recommendations were presented to facilitate identification of suicide warning signs, risk factors, assessment of the presence/accessibility of lethal means (e.g., firearms, pills) in a patient’s environment, and counseling techniques targeting removal of potentially lethal means. Clinic staff were trained in the administration of the ASQ, interpretation of results, and response to both acute (i.e., current suicidal ideation) and non-acute positive (i.e., no current suicidal ideation) screens.

Clinic staff verbally administered the ASQ as part of the virtual intake evaluation and scored the results in real time. If a patient screened positive, the BSSA was conducted to further triage suicide risk and a safety plan (Stanley & Brown, 2012) was developed and reviewed with the patient. A copy of the safety plan was shared with the patient electronically, with individualized plans for follow-up, care coordination with patients’ other care providers, and mental health referrals when appropriate. To optimize this process, prior to the start of implementation, a list of state-specific crisis and mental health resources was compiled, electronically stored, and shared with all clinic staff.

Phase 2: Do

Following initial training, screening was piloted across 4 months (January–April 2022) with all patients ages 18 and older presenting to Pelago. For this phase, clinic staff completed a questionnaire to measure knowledge, attitudes, and experiences related to suicide risk screening. Results were analyzed prior to a second webinar, which involved a refresher training and troubleshooting. Any concerns about the workflow, screening, or assessment process were identified and discussed with the ASQ research team.

Phase 3: Study

Following the pilot phase, in July 2022, Pelago clinic staff viewed a refresher training webinar and troubleshooting webinar. This refresher webinar described changes in suicide epidemiology, reviewed qualitative insights from clinic staffs’ feedback surveys, discussed the difference between screening and assessment, and provided updated crisis resources. Any challenges that arose during the pilot phase were discussed in the troubleshooting webinar to ensure staff members felt equipped to continue screening for suicide risk. Some of the questions raised by the staff in the study phase included: (1) Was safety planning necessary with patients who screened non-acute positive because of a prior suicide attempt that was many years in the past, but no current ideation? (2) Which phone-accessible resources were most appropriate for facilitating immediate assessment or intervention for an acute positive screen?

Phase 4: Act

After the refresher training, clinic staff screened all patients presenting for admission to the virtual addiction clinic as part of standard of care and held monthly meetings with the ASQ research team to monitor progress. Counselors conducted the BSSA and documented their assessment of risk and corresponding interventions on all positive ASQ screens during the study. Refinements in screening and associated clinical procedures were as follows: (1) In the absence of any current suicidal ideation, safety plans were not implemented for non-acute positive screens whose positivity resulted from a prior suicide attempt that was 5 or more years ago. (2) In addition to the National Suicide Prevention Lifeline and the Crisis Text Line, a list of state-specific crisis intervention resources in each geographical region serviced by the virtual addiction clinic was compiled, stored in a shared drive, and shared with the clinic staff.

Measures

The ASQ is a four-item suicide risk screening tool validated among pediatric and adult medical patients to detect recent suicidal thoughts and lifetime history of suicide attempts (Horowitz et al., 2012). A positive screen is determined by endorsement of any of the four items, whereas a response of “no” to all four items is considered a negative screen. For any respondents who endorse one of the first four items, a fifth item (“Are you having thoughts of killing yourself right now?”) assesses current suicidal ideation. A positive response to the fifth item indicates an “acute positive” screen, whereas a positive response to any of the first four items with a negative response to the fifth indicates a “non-acute positive” screen.

Demographic information, including age, sex, race, geographical location, and employment status were gathered by the counselor as part of the multidimensional assessment. Clinical information on past trauma history, pain severity, psychiatric medication, and SUD diagnosis were also gathered. Due to the limited sample size and power to detect associations between clinical variables and suicide risk screening outcomes, three clinical variables identified as suicidality risk factors in prior research in populations with substance use disorders were selected for exploratory analysis: trauma history, pain severity, and SUD diagnosis severity.

All staff completed a self-report questionnaire during the pilot phase to examine acceptability and comfortability with suicide risk screening. Items included yes/no questions, short answer response questions, and questions with a Likert scale.

Data Analysis

Descriptive statistics of patient demographics and suicide risk screening outcomes are reported. Logistic regressions were performed using R Studio 4.2.2 to analyze clinical correlates with suicide risk screening outcome. Qualitative results from clinic staff questionnaires and notes of patients who screened positive are reported.

Results

Demographics

Between February 2022 and September 2022, 100% (252/252) of eligible patients enrolled in Pelago agreed to be screened for suicide risk. Race data were not available for 28.2% (71/252) of the sample, as it was not documented in the clinical record for those individuals. The sample was predominantly male (142/252; 56.3%), White (147/181, 81.2%), and ranging in age from 21 to 68, with an average age of 45.0 years (SD = 11.0) (Table 1).

Table 1 Demographic and clinical variables of patients presenting to a virtual addiction clinic

Screening Outcomes

Of the 252 screened patients, 19 (7.5%) answered “yes” to one or more of the ASQ questions, yielding a 7.5% screen-positive rate (Fig. 2). None of the 19 patients who screened positive endorsed the fifth acuity item of the ASQ, indicating that no patients required immediate emergency interventions (100% non-acute positive). 73.7% (14/19) of those who screened positive reported no recent suicidal ideation but endorsed at least one past suicide attempt. Their attempt recency ranged from 2 to 38 years prior to screening, with half (7/14) of attempts being at least 10 years prior.

Fig. 2
figure 2

Suicide risk screening workflow. ASQ Ask Suicide-Screening Questions

Staff Opinions

Six clinicians completed a feedback survey on their experience implementing the ASQ during the pilot phase after the first training. All clinicians (6/6) reported they were comfortable or very comfortable asking patients about past or present suicidal thoughts and behaviors. Four out of six clinicians reported it was acceptable to ask patients about suicidal thoughts when they sought services for substance abuse, citing substance use as a risk factor for suicide. One reported it depended on the circumstances (no details provided) and one did not respond. All clinicians (6/6) were able to list advantages of suicide risk screening in their program, which included knowing a patient’s past history, growing clinicians’ skillsets, and proactively referring patients to mental health services. The majority of the staff (5/6) supported continuing to screen for suicide risk (one clinician was undecided). When asked how screening impacted their overall work environment, three out of six of the clinicians reported no impact on workflow, one was unsure, and two noted screening encouraged discussion among staff on how to respond appropriately to positive screens.

Clinical Factors

Of those who screened positive, 68.4% (13/19) reported experiencing at least one past traumatic event; 89.5% (17/19) reported experiencing mild pain at the time of their interview; 73.7% (14/19) presented with a severe SUD diagnosis. Twelve patients who screened positive for suicide risk (63.2%; 12/19) were currently taking psychiatric medication.

There were no significant associations between screening positive suicide risk and reports of past trauma (p > 0.3, OR = 1.0[C.I., 0.6–6.0]), pain severity (p > 0.6, OR = 1.4[C.I., 0.3–3.7]), or severity of SUD diagnosis (p > 0.9, OR = 1.0[C.I., 0.6–1.9]) (Table 2).

Table 2 Clinical correlate by positive suicide risk screen: logistic regression

Examples of SUD Patients Who Screened Positive

Table 3 describes examples of clinical features and risk mitigation procedures provided by the for a subset of individuals who screened positive for suicide risk (n = 9) (Table 3). Individuals selected for inclusion in the table were those for whom the most common three themes emerged, either contributing to the screening outcome or facilitating collaborative safety planning with their counselor: (1) psychiatric medication prescription (eight of nine), (2) building rapport between counselor and patient (three of nine), and (3) past suicide attempt (seven of nine). Those who were not included in this subgroup either had a remote suicide attempt more than 10 years prior to the evaluation that did not necessitate current safety planning or had experienced remote but not current or recent suicidal ideation.

Table 3 Available descriptions of positive screens and treatment plans

Psychiatric Medication Prescription

Eight patients (eight of nine) reported being prescribed psychiatric medications for depression or anxiety. Five of these patients (five of eight) were actively taking their medication, whereas three had tapered off their medications or denied taking them. Three of these patients (three of eight) reported a history of opioid-related suicide attempts. All these patients (eight of eight) received a Safety Plan.

Building Rapport Between Counselor and Patient

Three patients’ (three of nine) notes indicated they were cooperative, open, and honest with their counselor about their psychiatric history. All (three of three) were aware of their present mental health conditions and transparent about their diagnosis and treatment history. One note indicated the counselor’s recommendation to engage in the development of a safety plan helped foster trust and rapport with the patient.

Past Suicide Attempt

Seven patients (seven of nine) reported at least one past suicide attempt. Three of these patients (three of seven) had attempted over 10 years ago. Two patients (two of seven) reported multiple past attempts. Safety plans were established for all patients (seven of seven) regardless of how distant in the past their most recent attempt was.

Discussion

Suicide risk screening was feasibly implemented in a virtual addiction clinic using a QI framework to adapt a Telehealth Suicide Risk Pathway (NIMH, 2023). The 7.5% positive screen rate was high enough to warrant screening, yet low enough as to not overtask resources and staff. All 252 patients approached agreed to complete screening questions, demonstrating acceptability of screening. Clinic staff expressed positive opinions toward screening and supported plans to continue screening SUD patients.

Relevance to Care

The most important component of suicide risk screening is having a plan in place to respond to patients who screen positive. While some clinicians in the present study expressed concern about providing sufficient support through virtual care for patients expressing acute suicidal thoughts, results demonstrated that most positive screens among this help-seeking SUD population are non-acute and may not require emergency interventions. Furthermore, most of those who screened positive in the present study did so solely on the basis of a past attempt with no current ideation. Existing suicide risk screening clinical pathways address patients who only endorse a suicide attempt history with no passive or active suicidal thoughts. For example, one clinical pathway indicates that if the patient’s attempt was over a year ago, they are seeking mental healthcare, and their suicide attempt history is not a current concern, clinicians are made aware of their suicide attempt history and may exercise judgment to expedite the follow-up brief suicide safety assessment with minimal intervention (Horowitz et al., 2022). Knowledge of suicide attempt histories may affect decision making relevant to the patient’s care (e.g., behavioral treatment intensity, appropriate medication prescriptions, frequency of psychiatric symptom monitoring), coupled with contextual clinical factors that may necessitate more frequent monitoring of suicidal thoughts (e.g., polysubstance use, intravenous drug use). Thus, even when patients who present to virtual clinics are not currently experiencing suicidal ideation, clinicians can utilize information from their mental health history to provide appropriate healthcare.

Clinical Factors

Consistent with the literature on correlates of suicide risk among individuals with SUD (Pompili et al., 2010), the present investigation revealed a high frequency of trauma exposure, current self-reported pain, a severe SUD diagnosis, and current use of psychiatric medications among those who screened positive for suicide risk. Though these factors did not significantly increase the odds of screening positive for suicide risk, individual risk factors only account for a small proportion of the variance in suicide risk (Oquendo et al., 2006), posing challenges to the identification and management of individuals with suicide risk. Findings highlight the need for more research on how to screen, manage, and monitor patients presenting to a virtual behavioral health clinic setting with combined SUD and psychiatric comorbidities. Moreover, given the well-established impact of alcohol and other drug use on suicide risk, effectively treating the SUD condition is an essential mechanism through which a virtual modality for delivering behavioral health treatment can reduce suicide risk in this population. As such, delivering measurement-based care with frequent SUD symptom monitoring through the combination of both self-report and objective evaluation of substance use (e.g., urine drug screens, breathalyzer assessment) can inform the clinician’s ongoing understanding of current level of suicide risk, enabling ongoing adjustments to the plan of care as indicated.

Limitations

Several limitations of the present QIP warrant comment. First, this sample draws from a help-seeking, employed subgroup of individuals with SUD, for whom suicide risk is likely lower than that of individuals with a SUD diagnosis who are not seeking treatment or unable to access treatment through their employer (Hom et al., 2015). Given that employment status is associated with suicide risk (Conejero et al., 2016), the positivity rate observed in this study is likely an underestimate of the prevalence of suicidality in SUD treatment centers where greater variation in employment status is observed. Second, the sample had limited race data available, limiting the generalizability of the findings to the broader sample of individuals who were treated in the virtual addiction clinic. Finally, the sample size, constraints conferred by the low frequency event of positivity for suicide risk, and attenuated statistical power limited our ability to detect relationships between clinical variables and suicide screening outcomes.

Nonetheless, this QIP demonstrated the tenability of universal screening for suicide risk without overburdening a virtual addiction clinic, and may serve as a model for implementing a telehealth suicide risk screening pathway in other virtual practices serving high-risk populations.

Conclusions

Suicide risk screening was successfully implemented in a digital addiction clinic without introducing a burden to clinicians or interfering with workflow. Telemedicine clinicians working with individuals with SUD are well-positioned to ascertain relevant clinical information about suicide attempt history and facilitate further mental health care.