A population health approach to workplace mental health: rationale, implementation and engagement

Objectives

To describe a population health-based program to support employee and dependent mental health and learn from engagement trends.

Methods

Retrospective analysis of a program utilizing an assessment of mental health risk. For scoring "at risk," a Care Concierge is offered to connect users with resources.

Results

Participation was offered to 56,442 employees and dependents. Eight thousand seven hundred thirty-one completed the assessment (15%). Of those, 4,644 (53%) scored moderate or higher. A total of 418 (9%) engaged the Care Concierge. Factors that negatively influenced the decision to engage care included bodily pain, financial concerns. Positive influences were younger age, high stress, anxiety, PTSD and low social support.

Conclusion

Proactive assessment plus access to a Care Concierge facilitates mental healthcare utilization. Several factors influence likelihood to engage in care. A better understanding of these factors may allow for more targeted outreach and improved engagement.

Novel Implementation Strategy to Electronically Screen and Signpost Patients to Health Behavior Apps: Mixed Methods Implementation Study (OptiMine Study)

BACKGROUND

Behavior change apps have the potential to provide individual support on a population scale at low cost, but they face numerous barriers to implementation. Electronic health records (EHRs) in acute care hospitals provide a valuable resource for identifying patients at risk, who may benefit from behavior change apps. A novel, emerging implementation strategy is to use digital technologies not only for providing support to help-seeking individuals but also for signposting patients at risk to support services (also called proactive referral in the United States).

OBJECTIVE

The OptiMine study aimed to increase the reach of behavior change apps by implementing electronic signposting for smoking cessation and alcohol reduction in a large, at-risk population that was identified through an acute care hospital EHR.

METHODS

This 3-phase, mixed methods implementation study assessed the acceptability, feasibility, and reach of electronic signposting to behavior change apps by using a hospital's EHR system to identify patients who are at risk. Phase 1 explored the acceptability of the implementation strategy among the patients and staff through focus groups. Phase 2 investigated the feasibility of using the hospital EHR to identify patients with target risk behaviors and contact them via SMS text message, email, or patient portal. Phase 3 assessed the impact of SMS text messages sent to patients who were identified as smokers or risky drinkers, which signposted them to behavior change apps. The primary outcome was the proportion of participants who clicked on the embedded link in the SMS text message to access information about the apps. The acceptability of the SMS text messages among the patients who had received them was also explored in a web-based survey.

RESULTS

Our electronic signposting strategy-using SMS text messages to promote health behavior change apps to patients at risk-was found to be acceptable and feasible and had good reach. The hospital sent 1526 SMS text messages, signposting patients to either the National Health Service Smokefree or Drink Free Days apps. A total of 13.56% (207/1526) of the patients clicked on the embedded link to the apps, which exceeded our 5% a priori success criterion. Patients and staff contributed to the SMS text message content and delivery approach, which were perceived as acceptable before and after the delivery of the SMS text messages. The feasibility of the SMS text message format was determined and the target population was identified by mining the EHR.

CONCLUSIONS

The OptiMine study demonstrated the proof of concept for this novel implementation strategy, which used SMS text messages to signpost at-risk individuals to behavior change apps at scale. The level of reach exceeded our a priori success criterion in a non-help-seeking population of patients receiving unsolicited SMS text messages, disconnected from hospital visits.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/23669.

Implementing Chronic Care Model Treatments for Cigarette Dependence in Community Mental Health Clinics

Objective: Tobacco use is rarely addressed in community mental healthcare settings, despite its high prevalence among people with serious mental illness. The aim of the current study was to gather stakeholder feedback regarding the feasibility of chronic care management strategies for tobacco dependence in community mental health centers (CMHCs). Chronic care strategies evaluated included the 5 As (Ask about tobacco use, Advise users of tobacco to quit, Assess interest in cessation, Assist with cessation, and Arrange for follow-up) and proactive telephone outreach (reaching out to all users of tobacco to offer connection to tobacco cessation treatment). Methods: Using a semi-structured interview guide informed by the Practical Robust Implementation and Sustainability Model, we conducted individual semi-structured interviews with providers, leaders, and clients across two CMHCs. Our objectives were to capture their attitudes toward smoking cessation treatment, two chronic care model interventions (i.e., proactive outreach, the 5 As), and to determine the infrastructure needed to implement such interventions in their CMHCs. Thematic analysis was conducted by two independent coders to uncover pertinent themes. Results: Participants (n = 20) included nine providers, six leaders, and five clients. Thematic analysis revealed three major themes: (1) characteristics of recipients, (2) characteristics of the intervention, and (3) infrastructure needed for implementation and sustainability. Providers, leaders, and clients all reported that tobacco cessation treatment was rarely provided in CMHCs and expressed an interest in such treatments becoming more available. The 5 As and proactive outreach were viewed as feasible and acceptable to deliver and receive. Providers, leaders, and clients wanted support to connect clients with smoking cessation treatment. Providers and leaders requested a range of implementation supports, including didactic trainings, decision aids, performance feedback, and coaching on evidence-based tobacco cessation treatments for people with serious mental illness. Clients requested tobacco cessation resources, such as a cessation counseling provided at the CMHC and prescriptions for cessation medication. Conclusions: CMHC providers, leaders, and clients are interested in making tobacco cessation services more widely accessible and available. The feedback gathered in this study can be used to inform the delivery and implementation of guideline-adherent tobacco dependence care in CMHCs.

Mining Electronic Health Records to Promote the Reach of Digital Interventions for Cancer Prevention Through Proactive Electronic Outreach: Protocol for the Mixed Methods OptiMine Study

BACKGROUND

Digital behavior change interventions have demonstrated effectiveness for smoking cessation and reducing alcohol intake, which ultimately reduce cancer risk. Leveraging electronic health records (EHR) to identify at-risk patients and increasing the reach of digital interventions through proactive electronic outreach provide a novel approach that may increase the number of individuals who engage with evidence-based treatment.

OBJECTIVE

This study aims to increase the reach of digital behavior change interventions by implementing a proactive electronic message system for smoking cessation and alcohol reduction among a large, at-risk population identified through an acute hospital EHR.

METHODS

This protocol describes a 3-phase, mixed-methods implementation study to assess the acceptability, feasibility, and reach of a proactive electronic message system to digital interventions using a hospital's EHR system to identify eligible patients. In Phase 1, we will conduct focus group discussions with patients and hospital staff to assess the overall acceptability of the electronic message system. In Phase 2, we will conduct a descriptive analysis of the patient population in the hospital EHR regarding target risk behaviors and other person-level characteristics to determine the project's feasibility and potential reach. In Phase 3, we will send proactive messages to patients identified as smokers or risky drinkers. Messages will encourage and provide access to behavior change mobile apps via an embedded link; the primary outcome will be the proportion of participants who click on the link to access information about the apps.

RESULTS

At the time of initial protocol submission, data collection was complete, but analysis had not begun. This study was funded by Cancer Research UK from April 2019 to March 2020. Health Research Authority approval was granted in June 2019.

CONCLUSIONS

Increasing the reach of digital behavior change interventions can improve population health by reducing the burden of preventable death and disease.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/23669.

Cost-effectiveness of population-level proactive tobacco cessation outreach among socio-economically disadvantaged smokers: evaluation of a randomized control trial

AIMS

To estimate the cost-effectiveness at population-level of the OPT-IN proactive tobacco cessation outreach program for adult smokers enrolled in publicly funded health insurance plans for low-income persons (e.g. Medicaid).

DESIGN

Cost-effectiveness analysis using a state transition model based on data from the Offering Proactive Treatment Intervention (OPT-IN) randomized control trial.

SETTING

The trial was conducted in Minnesota, USA, and the economic analysis was conducted from the Medicaid program perspective.

PARTICIPANTS

Data were used from 2406 smokers who were randomized into the intervention or comparator groups.

INTERVENTION AND COMPARATOR

The intervention was comprised of proactive outreach (mailed invitation and telephone calls) and free cessation treatment (nicotine replacement therapy and intensive telephone counseling). The comparator was usual care, which comprised access to a primary care physician, insurance coverage of Food and Drug Administration (FDA)-approved smoking cessation medications and the state's telephone quitline.

MEASUREMENTS

Smoking status, quality of life and health-care use at varying times, including at baseline and 1 year.

FINDINGS

The OPT-IN program cost an average of $84 per participant greater than the comparator. One year after randomization, the population-level, 6-month prolonged smoking abstinence rate was 16.5% in the proactive outreach intervention group and 12.1% in the usual care group (P < 0.05). The model projected that the proactive outreach intervention added $78 in life-time cost and generated 0.005 additional quality-adjusted life-years (QALYs), with an expected incremental cost-effectiveness ratio of $4231 per QALY. Probabilistic sensitivity analysis found that the proactive outreach intervention would be cost-effective against a willingness-to-pay threshold of $50 000/QALY approximately 68% of the time.

CONCLUSIONS

Population-level proactive tobacco treatment with personal telephone outreach was effective in achieving higher population-level quit rates and was cost-effective at various willingness-to-pay thresholds, compared with usual care (i.e. reactive treatment). Taken together with prior research, population-level proactive tobacco cessation outreach programs are judged to be highly cost-effective over the long term.

Comparative Effectiveness of Proactive Tobacco Treatment among Smokers with and without Chronic Lower Respiratory Disease

RATIONALE

Adults with chronic lower respiratory disease differ in their barriers to smoking cessation but also suffer from tobacco-related health concerns, which may motivate quit attempts. Few studies have examined differences in tobacco treatment response between smokers with and without chronic lower respiratory disease.

OBJECTIVE

We examined the effectiveness of a proactive outreach program for cessation among smokers with and without chronic lower respiratory disease.

METHODS

Subgroup analysis of the Veterans Victory over Tobacco Study, a pragmatic randomized controlled trial that demonstrated the effectiveness of proactive outreach and the choice of tobacco treatments compared with usual care. Smokers identified via the electronic medical record were proactively offered phone-based counseling and care coordination to receive medication from their Veterans Affairs providers or in-person care. We compared the response among those with and without an International Classification of Diseases, 9th Revision diagnosis of a chronic lower respiratory disease (chronic obstructive pulmonary disease, chronic bronchitis, emphysema, asthma). We used stratification by propensity scores to adjust for imbalanced covariates between groups with and without chronic lower respiratory disease within each treatment arm, using complete case analysis accounting for the stratified sampling by site.

RESULTS

The study participants were predominantly older, white, male smokers. Overall, 19.6% had chronic lower respiratory disease. A total of 3,307 had outcome data with the following assignments to the intervention: proactive care: n = 1,272 without chronic lower respiratory disease, n = 301 with chronic lower respiratory disease; usual care: n = 1,387 without chronic lower respiratory disease, n = 347 with chronic lower respiratory disease. A total of 1,888 had both complete baseline and outcome data and were included in the primary analysis. In unadjusted analyses (n = 3,307), among individuals with chronic lower respiratory disease, 13.1% in the proactive group reported 6-month prolonged abstinence compared with 8.7% of those in the usual care group (odds ratio, 1.57; 95% confidence interval, 0.93-2.65). Among individuals without chronic lower respiratory disease, 13.1% quit in the proactive group compared with 11.0% in the usual care group (odds ratio, 1.22; 95% confidence interval, 0.95-1.55). In adjusted analyses (n = 1,888), the association between treatment arm and quit rate varied by the presence of chronic lower respiratory disease, with a stronger association between allocation to the proactive group and quit rate among those with chronic lower respiratory disease (odds ratio, 3.45; 95% confidence interval, 1.59-7.47) than those without chronic lower respiratory disease (odds ratio, 1.34; 95% confidence interval, 0.95-1.88; P for interaction with chronic lower respiratory disease = 0.03).

CONCLUSIONS

Smokers with chronic lower respiratory disease may be more likely to respond to a proactive outreach intervention for tobacco cessation treatment than those without chronic lower respiratory disease. Clinical trial registered with www.clinicaltrials.gov (NCT 00608426).