Using the Multiphase Optimization Strategy (MOST) framework to test intervention delivery strategies: a study protocol

Family Navigation Programs for Children With Autism Spectrum Disorder: A Scoping Review

OBJECTIVES

Family navigation (FN) programs are an integrated care delivery model for children with chronic conditions. However, there is a lack of synthesized evidence of FN programs for children with autism spectrum disorder (ASD). This scoping review aimed to map the current evidence to describe the characteristics and synthesize the effectiveness of FN programs for children with ASD.

METHODS

We searched the PubMed, Web of Science, Embase, CINAHL, PsycINFO, and ProQuest databases for studies published between 2011 and 2023. After duplicate records were removed, 2 researchers read the titles and abstracts and screened the full texts. Disagreements were resolved by a third researcher. Two researchers independently extracted the data and performed data synthesis in both tabular and narrative formats.

RESULTS

Twenty-seven studies were included. The navigation activities included family assessment, service coordination, psychosocial support, health education, service advocacy, and logistic assistance. Navigators could be professionals or nonprofessionals with bilingual and bicultural backgrounds. FN programs accelerated service access from positive screening to definite diagnosis and to intervention initiation for children with ASD. Positive effects were also detected for the health outcomes of caregivers.

CONCLUSIONS

The results were narratively synthesized because of the heterogeneity of the included studies. This study provides guidance for the development and implementation of future FN programs. The findings indicate that the inclusion of solid theoretical frameworks, consistent reporting of intervention components, and conduction of effectiveness-implementation mixed studies may facilitate the generalizability of FN programs in wider contexts.

Bridging Innovation and Equity: Advancing Public Health Through Just-in-Time Adaptive Interventions

This review explores the transformative potential of just-in-time adaptive interventions (JITAIs) as a scalable solution for addressing health disparities in underserved populations. JITAIs, delivered via mobile health technologies, could provide personalized, context-aware interventions based on real-time data to address public health challenges such as addiction treatment, chronic disease management, and mental health support. JITAIs can dynamically adjust intervention strategies, enhancing accessibility and engagement for marginalized communities. We highlight the utility of JITAIs in reducing opportunity costs associated with traditional in-person health interventions. Examples from various health domains demonstrate the adaptability of JITAIs in tailoring interventions to meet diverse needs. The review also emphasizes the need for community involvement, robust evaluation frameworks, and ethical considerations in implementing JITAIs, particularly in low- and middle-income countries. Sustainable funding models and technological innovations are necessary to ensure equitable access and effectively scale these interventions. By bridging the gap between research and practice, JITAIs could improve health outcomes and reduce disparities in vulnerable populations.

Intensive care unit acquired weakness and physical rehabilitation in the ICU

Approximately half of critically ill adults experience intensive care unit acquired weakness (ICUAW). Patients who develop ICUAW may have negative outcomes, including longer duration of mechanical ventilation, greater length of stay, and worse mobility, physical functioning, quality of life, and mortality. Early physical rehabilitation interventions have potential for improving ICUAW; however, randomized trials show inconsistent findings on the efficacy of these interventions. This review summarizes the latest evidence on the definition, diagnosis, epidemiology, pathophysiology, risks factors, implications, and management of ICUAW. It specifically highlights research gaps and challenges, with considerations for future research for physical rehabilitation interventions.

Process mapping with failure mode and effects analysis to identify determinants of implementation in healthcare settings: a guide

BACKGROUND

Generating and analyzing process maps can help identify and prioritize barriers to the implementation of evidence-based practices in healthcare settings. Guidance on how to systematically apply and report these methods in implementation research is scant. We describe a method combining a qualitative approach to developing process maps with a quantitative evaluation of maps drawn from the quality improvement literature called failure mode and effects analysis (FMEA).

METHODS

We provide an outline and guidance for how investigators can use process mapping with FMEA to identify and prioritize barriers when implementing evidence-based clinical interventions. Suggestions for methods and reporting were generated based on established procedures for process mapping with FMEA and through review of original research papers which apply both methods in healthcare settings. We provide case examples to illustrate how this approach can be operationalized in implementation research.

RESULTS

The methodology of process mapping with FMEA can be divided into four broad phases: 1) formulating a plan, 2) generating process maps to identify and organize barriers over time, 3) prioritizing barriers through FMEA, and 4) devising an implementation strategy to address priority barriers. We identified 14 steps across the four phases. Two illustrative examples are provided. Case 1 describes the implementation of referrals to chiropractic care for adults with low back pain in primary care clinics. Case 2 describes the implementation of a family navigation intervention for children with autism spectrum disorder seeking care in pediatric clinics. For provisional guidance for reporting, we propose the REporting Process mapping and Analysis for Implementation Research (REPAIR) checklist.

CONCLUSIONS

Process mapping with FMEA can elucidate barriers and facilitators to successful implementation of evidence-based clinical interventions. This paper provides initial guidance for more systematic applications of this methodology in implementation research. Future research should use a consensus-building approach, such as a multidisciplinary Delphi panel, to further delineate the reporting standards for studies that use process mapping with FMEA.

Optimization of implementation strategies using the Multiphase Optimization STratgey (MOST) framework: Practical guidance using the factorial design

The Multiphase Optimization STrategy (MOST) is a framework that uses three phases-preparation, optimization, and evaluation-to develop multicomponent interventions that achieve intervention EASE by strategically balancing Effectiveness, Affordability, Scalability, and Efficiency. In implementation science, optimization of the intervention requires focus on the implementation strategies-things that we do to deliver the intervention-and implementation outcomes. MOST has been primarily used to optimize the components of the intervention related to behavioral or health outcomes. However, innovative opportunities to optimize discrete (i.e. single strategy) and multifaceted (i.e. multiple strategies) implementation strategies exist and can be done independently, or in conjunction with, intervention optimization. This article details four scenarios where the MOST framework and the factorial design can be used in the optimization of implementation strategies: (i) the development of new multifaceted implementation strategies; (ii) evaluating interactions between program components and a discrete or multifaceted implementation strategies; (iii) evaluating the independent effects of several discrete strategies that have been previously evaluated as a multifaceted implementation strategy; and (iv) modification of a discrete or multifaceted implementation strategy for the local context. We supply hypothetical school-based physical activity examples to illustrate these four scenarios, and we provide hypothetical data that can help readers make informed decisions derived from their trial data. This manuscript offers a blueprint for implementation scientists such that not only is the field using MOST to optimize the effectiveness of an intervention on a behavioral or health outcome, but also that the implementation of that intervention is optimized.

Increasing pre-exposure prophylaxis (PrEP) in primary care: A study protocol for a multi-level intervention using the multiphase optimization strategy (MOST) framework

BACKGROUND

In the United States, over 1.2 million people are living with HIV. This disease disproportionately affects men who have sex with men (MSM), people of color, youth and young adults, and transgender individuals. Pre-exposure prophylaxis (PrEP) is an effective HIV prevention method. Barriers exist for both primary care providers (PCPs) to prescribe PrEP and prevent patients from initiating PrEP.

METHODS

This study, MOST: PrEP, follows the multiphase optimization strategy (MOST) framework. The purpose is to identify a multi-level intervention among patients and PCPs to increase PrEP prescriptions in primary care. First, feedback will be obtained from providers and patients via focus groups, then, suggestions related to the context-specific (provider and individual level) factors of intervention component delivery will be incorporated. Subsequently, a rigorous experiment will be conducted using a 24 factorial design focusing on priority populations for PrEP initiation. Provider components include computer-based simulation training and a best practice alert. Patient components include a tailored PrEP educational video and HIV risk assessment. Finally, the facilitators and barriers to implementing the intervention components will be qualitatively examined.

CONCLUSION

In this protocol paper, we describe the one of the first known multilevel MOST optimization trial in healthcare. Intervention components are to be delivered to patients and providers in a large healthcare system, based in an HIV Ending the Epidemic priority jurisdiction. If effective, this multi-level approach could be disseminated to providers and patients in other large healthcare systems to make a significant impact on HIV prevention.

Intervention Optimization: A Paradigm Shift and Its Potential Implications for Clinical Psychology

To build a coherent knowledge base about what psychological intervention strategies work, develop interventions that have positive societal impact, and maintain and increase this impact over time, it is necessary to replace the classical treatment package research paradigm. The multiphase optimization strategy (MOST) is an alternative paradigm that integrates ideas from behavioral science, engineering, implementation science, economics, and decision science. MOST enables optimization of interventions to strategically balance effectiveness, affordability, scalability, and efficiency. In this review we provide an overview of MOST, discuss several experimental designs that can be used in intervention optimization, consider how the investigator can use experimental results to select components for inclusion in the optimized intervention, discuss the application of MOST in implementation science, and list future issues in this rapidly evolving field. We highlight the feasibility of adopting this new research paradigm as well as its potential to hasten the progress of psychological intervention science.

Multiphase optimization of a multicomponent intervention for informal dementia caregivers: a study protocol

BACKGROUND

Family caregiver interventions are essential to support dementia caregiving. However, such interventions are typically complex and consist of multiple components. Existing evidence rarely delineates the effectiveness and interactions between individual components. To optimise intervention, we adopt the multiphase optimisation strategy (MOST) to test the implementation fidelity and determine the effect of each component and the interactions between each component and the corresponding outcome.

METHODS

A prospective, assessor-blinded, randomised clinical trial with fractional factorial design using the MOST principle. Two hundred fifty family dementia caregivers will be randomised to one of 16 experimental conditions in a fractional factorial design involving six intervention components: (1) dementia and caregiving education; (2) self-care skills; (3) behavioural symptom management; (4) behavioural activation; (5) modified mindfulness-based cognitive therapy; and (6) support group. The first one is the core component, and the five remaining will be examined. Physical health, caregiver burden, stress, psychological well-being, anxiety and depressive symptoms, and social support will be assessed over the 12-month study period. Following the intention-to-treat principle, linear mixed models and regression analyses will be used to examine the specific effect of the five components and their two-way interactions to propose the most effective combination.

DISCUSSION

This is the first study adopting the multiphase optimisation strategy to identify the most active and engaging components of a psychological intervention for caregivers of patients with dementia. In view that dementia caregiver interventions are increasingly diversified and complex, such knowledge is important to maximise the intervention efficacy and allow the intervention to be implemented within an efficient timeframe and dosage. The optimisation of caregiver support interventions is critical to enhance the health outcomes of caregivers and care recipients, thereby, delaying possible institutionalisation and reducing the costs of long-term dementia care.

TRIAL REGISTRATION

This study was retrospectively registered in the WHO Primary Registry - Chinese Clinical Trials Registry (ChiCTR2300071235). (Protocol date 30/10/2020; version identifier 2020-2021-0045). Registered on 9 May, 2023.

REPORTING METHOD

SPIRIT guideline was followed.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public involvement.

Research Reviews: Advances in methods for evaluating child and adolescent mental health interventions

BACKROUND

The evidence base for interventions for child mental health and neurodevelopment is weak and the current capacity for rigorous evaluation limited. We describe some of the challenges that make this field particularly difficult and expensive for evaluation studies.

METHODS

We describe and review the use of novel study designs and analysis methodology for their potential to improve this situation.

RESULTS

While several novel designs appeared ill-suited to our field, systematic review found others that offered potential but had yet to be widely adopted, some not at all.

CONCLUSIONS

While funding is inevitably a constraint, we argue that improvements in the evidence base of both current and new treatments will only be achieved by the adoption of a number of these new technologies and study designs, the consistent application of rigorous constructive but demanding standards, and the engagement of the public, patients, clinical and research services to build a design, recruitment, and analysis infrastructure.

Toward Cognitive-Behavioral Therapy for Sexual Minority Women: Voices From Stakeholders and Community Members

Sexual minority women (SMW) experience an elevated risk of mental health problems compared to heterosexual women. However, knowledge gaps remain regarding whether cognitive-behavioral therapy (CBT) interventions meet SMW's mental health needs. Further, virtually no studies have integrated stakeholder (i.e., researchers with content expertise in SMW's health and clinical providers who work with SMW) and community member (i.e., SMW) perspectives to identify CBT approaches that address SMW-specific issues. This study used qualitative data gathered from 39 SMW who reported depression, anxiety, suicidality, and heavy drinking in the past 3 months and 16 content experts and clinical providers to obtain information relevant to enhancing CBT for SMW. In addition, we used thematic analysis to identify themes related to the adaptation and delivery of CBT for SMW. Building on prior literature, this study's findings revealed seven considerations for delivering mental health services to SMW: (1) attending to SMW's diverse gender identities and expressions; (2) focusing on SMW's nonbinary stressors; (3) formulating SMW's gender-based stressors within a feminist framework; (4) applying intersectionality frameworks; (5) incorporating issues of diversity, multiculturalism, and social justice; (6) addressing the role of trauma exposure; and (7) addressing the role of alcohol use in SMW's lives. These considerations are reviewed in terms of their implications for clinical practice, with a focus on enhancing applications of existing CBT interventions, to best respond to the unique needs of this population.

Application of the multiphase optimisation strategy (MOST) to optimise HIV prevention targeting people on medication for opioid use disorder (MOUD) who have cognitive dysfunction: protocol for a MOST study

INTRODUCTION

People who inject drugs (PWID) have remained a contributor to the consistent HIV incidence rates in the US for decades. Pre-exposure prophylaxis (PrEP) is a promising biomedical intervention for HIV prevention among individuals at risk for HIV infection, including PWID. However, PWID report the lowest rates of PrEP uptake and adherence among at-risk groups. Tailored HIV prevention interventions must include strategies that compensate for cognitive dysfunction among PWID.

METHODS AND ANALYSIS

Using the multiphase optimisation strategy, we will be conducting a 16-condition factorial experiment to investigate the effects of four different accommodation strategy components to compensate for cognitive dysfunction among 256 PWID on medication for opioid use disorder. This innovative approach will inform optimisation of a highly effective intervention to enhance PWID's ability to process and utilise HIV prevention content to improve PrEP adherence and HIV risk reduction in a drug treatment setting.

ETHICS AND DISSEMINATION

The institutional review board at the University of Connecticut approved this protocol (H22-0122) with an institutional reliance agreement with APT Foundation Inc. All participants are required to sign an informed consent form prior to engaging in any study protocols. The results of this study will be disseminated on national and international platforms through presentations at major conferences and journals.

TRIAL REGISTRATION NUMBER

NCT05669534.

Recommendations for post-implementation adaptations to optimize family navigation in pediatric primary care: a qualitative study with parents and navigators

BACKGROUND

Family Navigation (FN) is an evidence-based care management intervention designed to reduce disparities in access to care by providing families with individually tailored support and care coordination. Early data suggest FN is effective, but effectiveness is significantly influenced by both contextual (e.g. setting) and individual (e.g., ethnicity) variables. To better understand how FN could be tailored to address this variability in effectiveness, we set forth to explore proposed adaptations to FN by both navigators and families who received FN.

METHODS

This study was a nested qualitative study set within a larger randomized clinical trial of FN to improve access to autism diagnostic services in urban pediatric primary care practices in Massachusetts, Pennsylvania, and Connecticut serving low-income, racial and ethnic minority families. Following FN implementation, key informant interviews were conducted based on the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) with a purposeful sample of parents of children who received FN (n = 21) and navigators (n = 7). Interviews were transcribed verbatim and were coded using framework-guided rapid analysis to categorize proposed adaptations to FN.

RESULTS

Parents and navigators proposed 38 adaptations in four domains: 1) content of the intervention (n = 18), 2) context of the intervention (n = 10), 3) training and evaluation (n = 6), and 4) implementation and scale-up (n = 4). The most frequently endorsed adaptation recommendations focused on content (e.g., lengthening FN, providing parents with additional education on autism and parenting children with autism) and implementation (e.g., increasing access to navigation). Although probes targeted critical feedback, parents and navigators were overwhelmingly positive about FN.

CONCLUSIONS

This study builds upon prior FN effectiveness and implementation research by providing concrete areas for adaptation and refinement of the intervention. Recommendations by parents and navigators have the potential to inform improvement of existing navigation programs and development of new programs in similarly underserved populations. These findings are critical as adaptation (cultural and otherwise) is an important principle in the field of health equity. Ultimately, adaptations will need to be tested to determine clinical and implementation effectiveness.

TRIAL REGISTRATION

ClinicalTrials.gov, registration number NCT02359084, February 9, 2015.

Protocol for an evaluation of adherence monitoring and support interventions among people initiating antiretroviral therapy in Cape Town, South Africa-a multiphase optimization strategy (MOST) approach using a fractional factorial design

BACKGROUND

South Africa bears a large HIV burden with 7.8 million people with HIV (PWH). However, due to suboptimal antiretroviral therapy (ART) adherence and retention in care, only 66% of PWH in South Africa are virally suppressed. Standard care only allows for suboptimal adherence detection when routine testing indicates unsuppressed virus. Several adherence interventions are known to improve HIV outcomes, yet few are implemented in routinely due to the resources required. Therefore, determining scalable evidence-based adherence support interventions for resource-limited settings (RLS) is a priority. The multiphase optimization strategy (MOST) framework allows for simultaneous evaluation of multiple intervention components and their interactions. We propose to use MOST to identify the intervention combination with the highest levels of efficacy and cost-effectiveness that is feasible and acceptable in primary care clinics in Cape Town.

METHODS

We will employ a fractional factorial design to identify the most promising intervention components for inclusion in a multi-component intervention package to be tested in a future randomized controlled trial. We will recruit 512 participants initiating ART between March 2022 and February 2024 in three Cape Town clinics and evaluate acceptability, feasibility, and cost-effectiveness of intervention combinations. Participants will be randomized to one of 16 conditions with different combinations of three adherence monitoring components: rapid outreach following (1) unsuppressed virus, (2) missed pharmacy refill collection, and/or (3) missed doses as detected by an electronic adherence monitoring device; and two adherence support components: (1) weekly check-in texts and (2) enhanced peer support. We will assess viral suppression (<50 copies/mL) at 24 months as the primary outcome; acceptability, feasibility, fidelity, and other implementation outcomes; and cost-effectiveness. We will use logistic regression models to estimate intervention effects with an intention-to-treat approach, employ descriptive statistics to assess implementation outcomes, and determine an optimal intervention package.

DISCUSSION

To our knowledge, ours will be the first study to use the MOST framework to determine the most effective combination of HIV adherence monitoring and support intervention components for implementation in clinics in a RLS. Our findings will provide direction for pragmatic, ongoing adherence support that will be key to ending the HIV epidemic.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05040841. Registered on 10 September 2021.

Using nominal group technique to identify barriers and facilitators to preventing HIV using combination same-day pre-exposure prophylaxis and medications for opioid use disorder

BACKGROUND

Preventing HIV transmission among people who inject drugs (PWID) is a key element of the US Ending the HIV Epidemic strategy and includes both pre-exposure prophylaxis (PrEP) and medications for opioid use disorder (MOUD). While both lead to decreases in HIV transmission, MOUD has other social and health benefits; meanwhile, PrEP has additional HIV prevention advantages from sexual risk and the injection of stimulants. However, these medications are often prescribed in different settings and require multiple visits before initiation. Strategies to integrate these services (i.e., co-prescription) and offer same-day prescriptions may reduce demands on patients who could benefit from them.

METHODS

Nominal group technique, a consensus method that rapidly generates and ranks responses, was used to ascertain barriers and solutions for same-day delivery of PrEP and MOUD as an integrated approach among PWID (n = 14) and clinical (n = 9) stakeholders. The qualitative portion of the discussion generated themes for analysis, and the ranks of the proposed barriers and solutions to the program are presented.

RESULTS

The top three barriers among PWID to getting a same-day prescription for both PrEP and MOUD were (1) instability of insurance (e.g., insurance lapses); (2) access to a local prescriber; and (3) client-level implementation factors, such as lack of personal motivation. Among clinical stakeholders, the three greatest challenges were (1) time constraints on providers; (2) logistics (e.g., coordination between providers and labs); and (3) availability of providers who can prescribe both medications. Potential solutions identified by both stakeholders included pharmacy delivery of the medications, coordinated care between providers and health care systems (e.g., case management), and efficiencies in clinical care (e.g., clinical checklists), among others.

CONCLUSIONS

Implementing and sustaining a combined PrEP and MOUD strategy will require co-training providers on both medications while creating efficiencies in systems of care and innovations that encourage and retain PWID in care. Pilot testing the co-prescribing of PrEP and MOUD with quality performance improvement is a step toward new practice models.

Five Common Myths Limiting Engagement in HIV-Related Implementation Research

ABSTRACT

HIV-related implementation research holds great promise in achieving the potential of efficacious prevention and treatment tools in reducing the incidence of HIV and improving HIV treatment outcomes among people living with HIV. From the perspectives of HIV-related implementation research training and academia and through consultations with funders and investigators new to implementation research, we identified 5 myths that act as barriers to engagement in implementation research among new investigators. Prevailing myths broadly include (1) one must rigidly apply all aspects of an implementation framework for it to be valid, (2) implementation research limits the type of designs available to researchers, (3) implementation strategies cannot be patient-level or client-level approaches, (4) only studies prioritizing implementation outcomes are "true" implementation research, and (5) if not explicitly labeled implementation research, it may have limited impact on implementation. We offer pragmatic approaches to negotiate these myths with the goal of encouraging dialog, ensuring high-quality research, and fostering a more inclusive and dynamic field of implementation research. Ultimately, the goal of dispelling these myths was to lower the perceived bar to engagement in HIV-related implementation research while still ensuring quality in the methods and measures used.

Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework

Background

The public health impact of behavioral and biobehavioral interventions to prevent and treat mental health and substance use problems hinges on developing methods to strategically maximize their effectiveness, affordability, scalability, and efficiency.

Methods

The multiphase optimization strategy (MOST) is an innovative, principled framework that guides the development of multicomponent interventions. Each phase of MOST (Preparation, Optimization, Evaluation) has explicit goals and a range of appropriate research methods to achieve them. Methods for attaining Optimization and Evaluation phase goals are well-developed. However, methods used in the Preparation phase are often highly researcher-specific, and concrete ways to achieve Preparation phase goals are a priority area for further development.

Results

We propose that the discover, design, build, and test (DDBT) framework provides a theory-driven and methods-rich roadmap for achieving the goals of the Preparation phase of MOST, including specifying the conceptual model, identifying and testing candidate intervention components, and defining the optimization objective. The DDBT framework capitalizes on strategies from the field of human-centered design and implementation science to drive its data collection methods.

Conclusions

MOST and DDBT share many conceptual features, including an explicit focus on implementation determinants, being iterative and flexible, and designing interventions for the greatest public health impact. The proposed synthesized DDBT/MOST approach integrates DDBT into the Preparation phase of MOST thereby providing a framework for rigorous and efficient intervention development research to bolster the success of intervention optimization.

Plain Language Summary

1. What is already known about the topic? Optimizing behavioral interventions to balance effectiveness with affordability, scalability, and efficiency requires a significant investment in intervention development.2. What does this paper add? This paper provides a structured approach to integrating human-centered design principles into the Preparation phase of the multiphase optimization strategy (MOST).3. What are the implications for practice, research, or policy? The proposed synthesized model provides a framework for rigorous and efficient intervention development research in the Preparation phase of MOST that will ensure the success of intervention optimization and contribute to improving public health impact of mental health and substance use interventions.

The preparation phase in the multiphase optimization strategy (MOST): a systematic review and introduction of a reporting checklist

Multicomponent behavioral interventions developed using the multiphase optimization strategy (MOST) framework offer important advantages over alternative intervention development models by focusing on outcomes within constraints relevant for effective dissemination. MOST consists of three phases: preparation, optimization, and evaluation. The preparation phase is critical to establishing the foundation for the optimization and evaluation phases; thus, detailed reporting is critical to enhancing rigor and reproducibility. A systematic review of published research using the MOST framework was conducted. A structured framework was used to describe and summarize the use of MOST terminology (i.e., preparation phase and optimization objective) and the presentation of preparation work, the conceptual model, and the optimization. Fifty-eight articles were reviewed and the majority focused on either describing the methodology or presenting results of an optimization trial (n = 38, 66%). Although almost all articles identified intervention components (96%), there was considerable variability in the degree to which authors fully described other elements of MOST. In particular, there was less consistency in use of MOST terminology. Reporting on the MOST preparation phase is varied, and there is a need for increased focus on explicit articulation of key design elements and rationale of the preparation phase. The proposed checklist for reporting MOST studies would significantly advance the use of this emerging methodology and improve implementation and dissemination of MOST. Accurate reporting is essential to reproducibility and rigor of scientific trials as it ensures future research fully understands not only the methodology, but the rationale for intervention and optimization decisions.

Future Directions in Lay Health Worker Involvement in Children's Mental Health Services in the U.S

Nearly half of children meeting criteria for a mental health disorder in the United States (U.S.) do not receive the treatment they need. Unfortunately, lack of access to and engagement in mental health services can be seen at even higher rates for historically marginalized groups, including low-income, racial, and ethnic minority youth. Lay Health Workers (LHWs) represent a valuable workforce that has been identified as a promising solution to address mental health disparities. LHWs are individuals without formal mental health training who oftentimes share lived experiences with the communities that they serve. A growing body of research has supported the mobilization of LHWs to address service disparities around the globe; however, challenges persist in how to scale-up and sustain LHW models of care, with specific barriers in the U.S. In this paper, we describe LHWs' different roles and involvement in the mental health field as well as the current state of the literature around LHW implementation. We integrate the RE-AIM Framework with a conceptual model of how LHWs address disparities to outline future directions in research and practice to enhance equity in the reach, effectiveness, adoption, implementation, and maintenance of LHW models of care and evidence-based practices for historically marginalized communities within the U.S.

The multiphase optimization strategy (MOST) in child maltreatment prevention research

Each year hundreds of thousands of children and families receive behavioral interventions designed to prevent child maltreatment; yet rates of maltreatment have not declined in over a decade. To reduce the prevalence and prevent the life-long negative consequences of child maltreatment, behavioral interventions must not only be effective, but also affordable, scalable, and efficient to meet the demand for these services. An innovative approach to intervention science is needed. The purpose of this article is to introduce the multiphase optimization strategy (MOST) to the field of child maltreatment prevention. MOST is an engineering-inspired framework for developing, optimizing, and evaluating multicomponent behavioral interventions. MOST enables intervention scientists to empirically examine the performance of each intervention component, independently and in combination. Using a hypothetical example of a home visiting intervention and artificial data, this article demonstrates how MOST may be used to optimize the content of a parent-focused in-home intervention and the engagement strategies of an intervention to increase completion rate to identify an intervention that is effective, efficient, economical, and scalable. We suggest that MOST will ultimately improve prevention science and hasten the progress of translational science to prevent child maltreatment.

Applying the Multiphase Optimization Strategy for the Development of Optimized Interventions in Palliative Care

Recent systematic reviews and meta-analyses have reported positive benefit of multicomponent "bundled" palliative care interventions for patients and family caregivers while highlighting limitations in determining key elements and mechanisms of improvement. Traditional research approaches, such as the randomized controlled trial (RCT), typically treat interventions as "bundled" treatment packages, making it difficult to assess definitively which aspects of an intervention can be reduced or replaced or whether there are synergistic or antagonistic interactions between intervention components. Progressing toward palliative care interventions that are effective, efficient, and scalable will require new strategies and novel approaches. One such approach is the Multiphase Optimization Strategy (MOST), a framework informed by engineering principles, that uses a systematic process to empirically identify an intervention comprised of components that positively contribute to desired outcomes under real-life constraints. This article provides a brief overview and application of MOST and factorial trial design in palliative care research, including our insights from conducting a pilot factorial trial of an early palliative care intervention to enhance the decision support skills of advanced cancer family caregivers (Project CASCADE).