Using the multiphase optimization strategy (MOST) to optimize an HIV care continuum intervention for vulnerable populations: a study protocol

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.

Empirical Development of a Behavioral Intervention for African American/Black and Latino Persons with Unsuppressed HIV Viral Load Levels: An Application of the Multiphase Optimization Strategy (MOST) Using Cost-Effectiveness as an Optimization Objective

We used results from an optimization randomized controlled trial which tested five behavioral intervention components to support HIV antiretroviral adherence/HIV viral suppression, grounded in the multiphase optimization strategy and using a fractional factorial design to identify intervention components with cost-effectiveness sufficiently favorable for scalability. Results were incorporated into a validated HIV computer simulation to simulate longer-term effects of combinations of components on health and costs. We simulated the 32 corresponding long-term trajectories for viral load suppression, health related quality of life (HRQoL), and costs. The components were designed to be culturally and structurally salient. They were: motivational interviewing counseling sessions (MI), pre-adherence skill building (SB), peer mentorship (PM), focused support groups (SG), and patient navigation (short version [NS], long version [NL]. All participants also received health education on HIV treatment. We examined four scenarios: one-time intervention with and without discounting and continuous interventions with and without discounting. In all four scenarios, interventions that comprise or include SB and NL (and including health education) were cost effective (< $100,000/quality-adjusted life year). Further, with consideration of HRQoL impact, maximal intervention became cost-effective enough to be scalable. Thus, a fractional factorial experiment coupled with cost-effectiveness analysis is a promising approach to optimize multi-component interventions for scalability. The present study can guide service planning efforts for HIV care settings and health departments.

Optimizing Interventions for Equitability: Some Initial Ideas

Interventions (including behavioral, biobehavioral, biomedical, and social-structural interventions) hold tremendous potential not only to improve public health overall but also to reduce health disparities and promote health equity. In this study, we introduce one way in which interventions can be optimized for health equity in a principled fashion using the multiphase optimization strategy (MOST). Specifically, we define intervention equitability as the extent to which the health benefits provided by an intervention are distributed evenly versus concentrated among those who are already advantaged, and we suggest that, if intervention equitability is acknowledged to be a priority, then equitability should be a key criterion that is balanced with other criteria (effectiveness overall, as well as affordability, scalability, and/or efficiency) in intervention optimization. Using a hypothetical case study and simulated data, we show how MOST can be applied to achieve a strategic balance that incorporates equitability. We also show how the composition of an optimized intervention can differ when equitability is considered versus when it is not. We conclude with a vision for next steps to build on this initial foray into optimizing interventions for equitability.

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.

Innovation in the Delivery of Behavioral Health Services

Several factors motivate the need for innovation to improve the delivery of behavioral health services, including increased rates of mental health and substance use disorders, limited access to services, inconsistent use of evidence-based practices, and persistent racial and ethnic disparities. This narrative review identifies promising innovations that address these challenges, assesses empirical evidence for the effectiveness of these innovations and the extent to which they have been adopted and implemented, and suggests next steps for research. We review five categories of innovations: organizational models, including a range of novel locations for providing services and new ways of organizing services within and across sites; information and communication technologies; workforce; treatment technologies; and policy and regulatory changes. We conclude by discussing the need to strengthen and accelerate the contributions of implementation science to close the gap between the launch of innovative behavioral health services and their widespread use.

Using decision analysis for intervention value efficiency to select optimized interventions in the multiphase optimization strategy

OBJECTIVE

Optimizing multicomponent behavioral and biobehavioral interventions presents a complex decision problem. To arrive at an intervention that is both effective and readily implementable, it may be necessary to weigh effectiveness against implementability when deciding which components to select for inclusion. Different components may have differential effectiveness on an array of outcome variables. Moreover, different decision-makers will approach this problem with different objectives and preferences. Recent advances in decision-making methodology in the multiphase optimization strategy (MOST) have opened new possibilities for intervention scientists to optimize interventions based on a wide variety of decision-maker preferences, including those that involve multiple outcome variables. In this study, we introduce decision analysis for intervention value efficiency (DAIVE), a decision-making framework for use in MOST that incorporates these new decision-making methods. We apply DAIVE to select optimized interventions based on empirical data from a factorial optimization trial.

METHOD

We define various sets of hypothetical decision-maker preferences, and we apply DAIVE to identify optimized interventions appropriate to each case.

RESULTS

We demonstrate how DAIVE can be used to make decisions about the composition of optimized interventions and how the choice of optimized intervention can differ according to decision-maker preferences and objectives.

CONCLUSIONS

We offer recommendations for intervention scientists who want to apply DAIVE to select optimized interventions based on data from their own factorial optimization trials. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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.

Interventions for improving health literacy in migrants

BACKGROUND

Health literacy (HL) is a determinant of health and important for autonomous decision-making. Migrants are at high risk for limited HL. Improving HL is important for equitable promotion of migrants' health.

OBJECTIVES

To assess the effectiveness of interventions for improving HL in migrants. To assess whether female or male migrants respond differently to the identified interventions.

SEARCH METHODS

We ran electronic searches to 2 February 2022 in CENTRAL, MEDLINE, Embase, PsycInfo and CINAHL. We also searched trial registries. We used a study filter for randomised controlled trials (RCTs) (RCT classifier).

SELECTION CRITERIA

We included RCTs and cluster-RCTs addressing HL either as a concept or its components (access, understand, appraise, apply health information).

DATA COLLECTION AND ANALYSIS

We used the methodological procedures recommended by Cochrane and followed the PRISMA-E guidelines. Outcome categories were: a) HL, b) quality of life (QoL), c) knowledge, d) health outcomes, e) health behaviour, f) self-efficacy, g) health service use and h) adverse events. We conducted meta-analysis where possible, and reported the remaining results as a narrative synthesis.

MAIN RESULTS

We included 28 RCTs and six cluster-RCTs (8249 participants), all conducted in high-income countries. Participants were migrants with a wide range of conditions. All interventions were adapted to culture, language and literacy. We did not find evidence that HL interventions cause harm, but only two studies assessed adverse events (e.g. anxiety). Many studies reported results for short-term assessments (less than six weeks after total programme completion), reported here. For several comparisons, there were also findings at later time points, which are presented in the review text. Compared with no HL intervention (standard care/no intervention) or an unrelated HL intervention (similar intervention but different information topic) Self-management programmes (SMP) probably improve self-efficacy slightly (standardised mean difference (SMD) 0.28, 95% confidence interval (CI) 0.06 to 0.50; 2 studies, 333 participants; moderate certainty). SMP may improve HIV-related HL (understanding (mean difference (MD) 4.25, 95% CI 1.32 to 7.18); recognition of HIV terms (MD 3.32, 95% CI 1.28 to 5.36)) (1 study, 69 participants). SMP may slightly improve health behaviours (3 studies, 514 participants), but may have little or no effect on knowledge (2 studies, 321 participants) or subjective health status (MD 0.38, 95% CI -0.13 to 0.89; 1 study, 69 participants) (low certainty). We are uncertain of the effects of SMP on QoL, health service use or adverse events due to a lack of evidence. HL skills building courses (HLSBC) may improve knowledge (MD 10.87, 95% CI 5.69 to 16.06; 2 studies, 111 participants) and any generic HL (SMD 0.48, 95% CI 0.20 to 0.75; 2 studies, 229 participants), but may have little or no effect on depression literacy (MD 0.17, 95% CI -1.28 to 1.62) or any health behaviour (2 studies, 229 participants) (low certainty). We are uncertain if HLSBC improve QoL, health outcomes, health service use, self-efficacy or adverse events, due to very low-certainty or a lack of evidence. Audio-/visual education without personal feedback (AVE) probably improves depression literacy (MD 8.62, 95% CI 7.51 to 9.73; 1 study, 202 participants) and health service use (MD -0.59, 95% CI -1.11 to -0.07; 1 study, 157 participants), but probably has little or no effect on health behaviour (risk ratio (RR) 1.07, 95% CI 0.91 to 1.25; 1 study, 135 participants) (moderate certainty). AVE may improve self-efficacy (MD 3.51, 95% CI 2.53 to 4.49; 1 study, 133 participants) and may slightly improve knowledge (MD 8.44, 95% CI -2.56 to 19.44; 2 studies, 293 participants) and intention to seek depression treatment (MD 1.8, 95% CI 0.43 to 3.17), with little or no effect on depression (SMD -0.15, 95% CI -0.40 to 0.10) (low certainty). No evidence was found for QoL and adverse events. Adapted medical instruction may improve understanding of health information (3 studies, 478 participants), with little or no effect on medication adherence (MD 0.5, 95% CI -0.1 to 1.1; 1 study, 200 participants) (low certainty). No evidence was found for QoL, health outcomes, knowledge, health service use, self-efficacy or adverse events. Compared with written information on the same topic SMP probably improves health numeracy slightly (MD 0.7, 95% CI 0.15 to 1.25) and probably improves print literacy (MD 9, 95% CI 2.9 to 15.1; 1 study, 209 participants) and self-efficacy (SMD 0.47, 95% CI 0.3 to 0.64; 4 studies, 552 participants) (moderate certainty). SMP may improve any disease-specific HL (SMD 0.67, 95% CI 0.27 to 1.07; 4 studies, 955 participants), knowledge (MD 11.45, 95% CI 4.75 to 18.15; 6 studies, 1101 participants) and some health behaviours (4 studies, 797 participants), with little or no effect on health information appraisal (MD 1.15, 95% CI -0.23 to 2.53; 1 study, 329 participants) (low certainty). We are uncertain whether SMP improves QoL, health outcomes, health service use or adverse events, due to a lack of evidence or low/very low-certainty evidence. AVE probably has little or no effect on diabetes HL (MD 2, 95% CI -0.15 to 4.15; 1 study, 240 participants), but probably improves information appraisal (MD -9.88, 95% CI -12.87 to -6.89) and application (RR 1.51, 95% CI 1.29 to 1.77) (1 study, 608 participants; moderate certainty). AVE may slightly improve knowledge (MD 8.35, 95% CI -0.32 to 17.02; low certainty). No short-term evidence was found for QoL, depression, health behaviour, self-efficacy, health service use or adverse events. AVE compared with another AVE We are uncertain whether narrative videos are superior to factual knowledge videos as the evidence is of very low certainty. Gender differences Female migrants' diabetes HL may improve slightly more than that of males, when receiving AVE (MD 5.00, 95% CI 0.62 to 9.38; 1 study, 118 participants), but we do not know whether female or male migrants benefit differently from other interventions due to very low-certainty or a lack of evidence.

AUTHORS' CONCLUSIONS

Adequately powered studies measuring long-term effects (more than six months) of HL interventions in female and male migrants are needed, using well-validated tools and representing various healthcare systems.

Effects of Behavioral Intervention Components for African American/Black and Latino Persons Living with HIV with Non-suppressed Viral Load Levels: Results of an Optimization Trial

There is an urgent need for efficient behavioral interventions to increase rates of HIV viral suppression for populations with serious barriers to engagement along the HIV care continuum. We carried out an optimization trial to test the effects of five behavioral intervention components designed to address barriers to HIV care continuum engagement for African American/Black and Latino persons living with HIV (PLWH) with non-suppressed HIV viral load levels: motivational interviewing sessions (MI), focused support groups (SG), peer mentorship (PM), pre-adherence skill building (SB), and navigation with two levels, short (NS) and long (NL). The primary outcome was HIV viral suppression (VS) and absolute viral load (VL) and health-related quality of life were secondary outcomes. Participants were 512 African American/Black and Latino PLWH poorly engaged in HIV care and with detectable HIV viral load levels in New York City, recruited mainly through peer referral. Overall, VS increased to 37%, or 45% in a sensitivity analysis. MI and SG seemed to have antagonistic effects on VS (z = - 1.90; p = 0.057); the probability of VS was highest when either MI or SG was assigned, but not both. MI (Mean Difference = 0.030; 95% CI 0.007-0.053; t(440) = 2.60; p = 0.010) and SB (Mean Difference = 0.030; 95% CI 0.007-0.053; t(439) = 2.54; p = 0.012) improved health-related quality of life. This is the first optimization trial in the field of HIV treatment. The study yields a number of insights into approaches to improve HIV viral suppression in PLWH with serious barriers to engagement along the HIV care continuum, including chronic poverty, and underscores challenges inherent in doing so.

Applying a Social Determinants of Health Framework to Guide Digital Innovations That Reduce Disparities in Chronic Disease

ABSTRACT

Chronic diseases are among the top causes of global death, disability, and health care expenditure. Digital health interventions (e.g., patient support delivered via technologies such as smartphones, wearables, videoconferencing, social media, and virtual reality) may prevent and mitigate chronic disease by facilitating accessible, personalized care. Although these tools have promise to reach historically marginalized groups, who are disproportionately affected by chronic disease, evidence suggests that digital health interventions could unintentionally exacerbate health inequities. This commentary outlines opportunities to harness recent advancements in technology and research design to drive equitable digital health intervention development and implementation. We apply "calls to action" from the World Health Organization Commission on Social Determinants of Health conceptual framework to the development of new, and refinement of existing, digital health interventions that aim to prevent or treat chronic disease by targeting intermediary, social, and/or structural determinants of health. Three mirrored "calls to action" are thus proposed for digital health research: a) develop, implement, and evaluate multilevel, context-specific digital health interventions; b) engage in intersectoral partnerships to advance digital health equity and social equity more broadly; and c) include and empower historically marginalized groups to develop, implement, and access digital health interventions. Using these "action items," we review several technological and methodological innovations for designing, evaluating, and implementing digital health interventions that have greater potential to reduce health inequities. We also enumerate possible challenges to conducting this work, including leading interdisciplinary collaborations, diversifying the scientific workforce, building trustworthy community relationships, and evolving health care and digital infrastructures.

Trends in U.S. HIV Peer Health Worker Training Strategies and Approaches: A Scoping Review of the Literature

ABSTRACT

Peer health workers (peers) are commonly engaged interventionists in the HIV care spectrum. The objective of this scoping review was to examine the range of evidence on training strategies and approaches for peer-led HIV behavioral interventions in the United States. Four electronic databases (Medline, CINAHL, EMBASE, and PsycINFO) were searched for peer-reviewed published literature (2010-2021) of peer-led HIV behavioral interventions directed to improving antiretroviral therapy adherence and/or retention in care. Eighteen studies met the inclusion criteria. Eleven studies referenced manualized training materials, and nine used role-play as part of their curricula. Peer training content and duration varied across studies, as well as evaluation of intervention fidelity, and peer competency. Findings highlight heterogeneity in peer training strategies and approaches. The expansion and sustainability of peer engagement in the HIV care continuum will require greater consensus among members of the research community on best practices for training.

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.

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.

Multiphase optimization strategy: How to build more effective, affordable, scalable and efficient social and behavioural oral health interventions

This commentary introduces the field of social behavioural oral health interventions to the multiphase optimization strategy (MOST). MOST is a principled framework for the development, optimization and evaluation of multicomponent interventions. Drawing from the fields of engineering, behavioural science, economics, decision science and public health, intervention optimization requires a strategic balance of effectiveness with affordability, scalability and efficiency. We argue that interventions developed using MOST are more likely to maximize the public health impact of social behavioural oral health interventions.

Exploring behavioral intervention components for African American/Black and Latino persons living with HIV with non-suppressed HIV viral load in the United States: a qualitative study

BACKGROUND

The persistence of racial/ethnic inequities in rates of engagement along the HIV care continuum signals the need for novel approaches. We developed six behavioral intervention components for use in an optimization trial, grounded in a model that integrates critical race theory, harm reduction, and self-determination theory, designed to address various barriers that African American/Black and Latino persons living with HIV (PLWH) experience to the HIV care continuum. The components were: health education, motivational interviewing sessions, pre-adherence skill building, peer mentorship, focused support groups, and navigation. The present qualitative exploratory study describes participants' perspectives on the components' acceptability, feasibility, and impact.

METHODS

Participants were African American/Black and Latino PLWH poorly engaged in HIV care and with non-suppressed HIV viral load in New York City. From a larger trial, we randomly selected 46 participants for in-depth semi-structured interviews. Interviews were audio-recorded and transcribed verbatim, and data were analyzed using directed content analysis. Quantitative data on sociodemographic and background characteristics and components' acceptability and feasibility were also collected.

RESULTS

On average, participants were 49 years old and had lived with HIV for 19 years. Most were cisgender-male and African American/Black. Participants reported a constellation of serious social and structural challenges to HIV management including chronic poverty, unstable housing, and stigma. Across components, a non-judgmental and pressure-free approach and attention to structural and cultural factors were seen as vital to high levels of engagement, but lacking in most medical/social service settings. Prominent aspects of individual components included establishing trust (health education); developing intrinsic motivation, goals, and self-reflection (motivational interviewing sessions); learning/practicing adherence strategies and habits (pre-adherence skill building); reducing social isolation via peer role models (peer mentorship); reflecting on salient goals and common challenges with peers without stigma (focused support groups); and circumventing structural barriers to HIV management with support (navigation). Components were found acceptable and feasible. Findings suggested ways components could be improved.

CONCLUSIONS

The present study advances research on interventions for African American/Black and Latino PLWH, who experience complex barriers to engagement along the HIV care continuum. Future study of the components is warranted to address racial/ethnic health inequities in HIV.

Behavioral intervention grounded in motivational interviewing and behavioral economics shows promise with Black and English-speaking Latino persons living with HIV with unsuppressed HIV viral load in New York City: A mixed methods pilot study

Introduction

Sustained HIV viral suppression is the ultimate goal of HIV treatment. African American/Black and Latino persons with HIV (PWH) in the United States are less likely than their White peers to achieve and sustain viral suppression. To address these disparities, we developed a "low-touch" behavioral intervention drawing on motivational interviewing and behavioral economics. The intervention had three main components: (1) a motivational interviewing counseling session, (2) 16 weeks of automated text messages and quiz questions about HIV management, where participants earned points by answering quiz questions, and 3) a lottery prize, based on viral suppression status, number of points earned, and chance (max. $275).

Materials and methods

The intervention was tested in a pre-test/post-test design. The present pilot study used mixed methods to explore the intervention's feasibility, acceptability, impact, and ways it could be improved. Participants engaged in a baseline assessment, qualitative interview, and two structured follow-up assessments over an 8-month period, and provided laboratory reports to document HIV viral load. We carried out descriptive quantitative analyses. Qualitative data were analyzed using a directed content analysis approach. Data integration was carried out using the joint display method.

Findings

Participants (N = 40) were 50 years old, on average (SD = 11), and approximately half (58%) were male. Close to two-thirds (68%) were African American/Black and 32% were Latino. Participants were diagnosed with HIV 22 years ago on average (SD = 8). The intervention was feasible (e.g., mean number of quiz questions answered = 13/16) and highly acceptable. While not powered to assess efficacy, the proportion with suppressed HIV viral load increased from baseline to follow-up (46% participants at the first, 52% participants at the second follow-up evidenced HIV viral suppression). In qualitative analyses, perspectives included that overall, the intervention was acceptable and useful, it was distinct from other programs, lottery prizes were interesting and appreciated but not sufficient to motivate behavior change, and the structure of lottery prizes was not sufficiently clear. Regarding data integration, qualitative data shed light on and extended quantitative results, and added richness and context.

Conclusion

This low-touch intervention approach is sufficiently promising to warrant refinement and study in future research.

Advancing behavioral interventions for African American/Black and Latino persons living with HIV using a new conceptual model that integrates critical race theory, harm reduction, and self-determination theory: a qualitative exploratory study

BACKGROUND

Rates of participation in HIV care, medication uptake, and viral suppression are improving among persons living with HIV (PLWH) in the United States. Yet, disparities among African American/Black and Latino PLWH are persistent, signaling the need for new conceptual approaches. To address gaps in services and research (e.g., insufficient attention to structural/systemic factors, inadequate harm reduction services and autonomy support) and improve behavioral interventions, we integrated critical race theory, harm reduction, and self-determination theory into a new conceptual model, then used the model to develop a set of six intervention components which were tested in a larger study. The present qualitative study explores participants' perspectives on the study's acceptability, feasibility, and impact, and the conceptual model's contribution to these experiences.

METHODS

Participants in the larger study were African American/Black and Latino PLWH poorly engaged in HIV care and with non-suppressed HIV viral load in New York City (N = 512). We randomly selected N = 46 for in-depth semi-structured interviews on their experiences with and perspectives on the study. Interviews were audio-recorded and professionally transcribed verbatim, and data were analyzed using directed qualitative content analysis.

RESULTS

On average, participants were 49 years old (SD = 9) and had lived with HIV for 19 years (SD = 7). Most were male (78%) and African American/Black (76%). All had taken HIV medication previously. Challenging life contexts were the norm, including poverty, poor quality/unstable housing, trauma histories exacerbated by current trauma, health comorbidities, and substance use. Participants found the study highly acceptable. We organized results into four themes focused on participants' experiences of: 1) being understood as a whole person and in their structural/systemic context; 2) trustworthiness and trust; 3) opportunities for self-reflection; and 4) support of personal autonomy. The salience of nonjudgment was prominent in each theme. Themes reflected grounding in the conceptual model. Participants reported these characteristics were lacking in HIV care settings.

CONCLUSIONS

The new conceptual model emphasizes the salience of systemic/structural and social factors that drive health behavior and the resultant interventions foster trust, self-reflection, engagement, and behavior change. The model has potential to enhance intervention acceptability, feasibility, and effectiveness with African American/Black and Latino PLWH.

Using the multiphase optimization strategy (MOST) framework to optimize an intervention to increase COVID-19 testing for Black and Latino/Hispanic frontline essential workers: A study protocol

BACKGROUND

Among those at highest risk for COVID-19 exposure is the large population of frontline essential workers in occupations such food service, retail, personal care, and in-home health services, among whom Black and Latino/Hispanic persons are over-represented. For those not vaccinated and at risk for exposure to COVID-19, including frontline essential workers, regular (approximately weekly) COVID-19 testing is recommended. However, Black and Latino/Hispanic frontline essential workers in these occupations experience serious impediments to COVID-19 testing at individual/attitudinal- (e.g., lack of knowledge of guidelines), social- (e.g., social norms), and structural-levels of influence (e.g., poor access), and rates of testing for COVID-19 are insufficient.

METHODS/DESIGN

The proposed community-engaged study uses the multiphase optimization strategy (MOST) framework and an efficient factorial design to test four candidate behavioral intervention components informed by an integrated conceptual model that combines critical race theory, harm reduction, and self-determination theory. They are A) motivational interview counseling, B) text messaging grounded in behavioral economics, C) peer education, and D) access to testing (via navigation to an appointment vs. a self-test kit). All participants receive health education on COVID-19. The specific aims are to: identify which components contribute meaningfully to improvement in the primary outcome, COVID-19 testing confirmed with documentary evidence, with the most effective combination of components comprising an "optimized" intervention that strategically balances effectiveness against affordability, scalability, and efficiency (Aim 1); identify mediators and moderators of the effects of components (Aim 2); and use a mixed-methods approach to explore relationships among COVID-19 testing and vaccination (Aim 3). Participants will be N = 448 Black and Latino/Hispanic frontline essential workers not tested for COVID-19 in the past six months and not fully vaccinated for COVID-19, randomly assigned to one of 16 intervention conditions, and assessed at 6- and 12-weeks post-baseline. Last, N = 50 participants will engage in qualitative in-depth interviews.

DISCUSSION

This optimization trial is designed to yield an effective, affordable, and efficient behavioral intervention that can be rapidly scaled in community settings. Further, it will advance the literature on intervention approaches for social inequities such as those evident in the COVID-19 pandemic.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT05139927 ; Registered on 11/29/2021. Protocol version 1.0. May 2, 2022, Version 1.0.

Integrating Cognitive Dysfunction Accommodation Strategies Into Behavioral Interventions for Persons on Medication for Opioid Use Disorder

BACKGROUND

Cognitive dysfunction is disproportionately prevalent among persons with opioid use disorder (OUD). Specific domains of cognitive dysfunction (attention, executive functioning, memory, and information processing) may significantly impede treatment outcomes among patients on medication for OUD (MOUD). This limits patient's ability to learn, retain, and apply information conveyed in behavioral intervention sessions. Evidence-based accommodation strategies have been integrated into behavioral interventions for other patient populations with similar cognitive profiles as persons with OUD; however, the feasibility and efficacy of these strategies have not yet been tested among patients on MOUD in a drug treatment setting.

METHODS

We conducted a series of focus groups with 25 key informants (10 drug treatment providers and 15 patients on MOUD) in a drug treatment program in New Haven, CT. Using an inductive approach, we examined how cognitive dysfunction impedes participant's ability to retain, recall, and utilize HIV prevention information in the context of drug treatment.

RESULTS

Two main themes capture the overall responses of the key informants: (1) cognitive dysfunction issues and (2) accommodation strategy suggestions. Subthemes of accommodation strategies involved suggestions about particular evidence-based strategies that should be integrated into behavioral interventions for persons on MOUD. Specific accommodation strategies included: use of a written agenda, mindfulness meditation, multi-modal presentation of information, hands-on demonstrations, and a formal closure/summary of sessions.

CONCLUSIONS

Accommodation strategies to compensate for cognitive dysfunction were endorsed by both treatment providers and patients on MOUD. These accommodation strategies have the potential to enhance the efficacy of behavioral interventions to reduce HIV transmission among persons on MOUD as well as addiction severity, and overdose.

Using factorial mediation analysis to better understand the effects of interventions

To improve understanding of how interventions work or why they do not work, there is need for methods of testing hypotheses about the causal mechanisms underlying the individual and combined effects of the components that make up interventions. Factorial mediation analysis, i.e., mediation analysis applied to data from a factorial optimization trial, enables testing such hypotheses. In this commentary, we demonstrate how factorial mediation analysis can contribute detailed information about an intervention's causal mechanisms. We briefly review the multiphase optimization strategy (MOST) and the factorial experiment. We use an empirical example from a 25 factorial optimization trial to demonstrate how factorial mediation analysis opens possibilities for better understanding the individual and combined effects of intervention components. Factorial mediation analysis has important potential to advance theory about interventions and to inform intervention improvements.

"The role of case management in HIV treatment adherence: HPTN 078"

Adherence to care and antiretroviral therapy is challenging, especially for people living with HIV (PLWH) with additional co-occurring risk factors. Case management interventions, including motivational interviewing (MI), show promise to improve HIV treatment adherence, but few studies have examined how such interventions are delivered to or experienced by PLWH who have been reengaged in care. We conducted qualitative interviews with six case managers and 110 PLWH exiting from a randomized study (HPTN 078) who received a MI-based case management intervention in addition to standard patient-navigation services, or standard services only. Our study provided greater insight into the main findings from HPTN 078, including an in-depth description of the multiple barriers to adherence faced by this largely "out-of-care" population, as well as a more nuanced understanding of the benefits and challenges of implementing MI. A blend of MI plus more intensive interventions may be needed for PLWH facing multiple structural barriers.

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.

Optimization Methods and Implementation Science: An Opportunity for Behavioral and Biobehavioral Interventions

This editorial introduces the multiphase optimization strategy (MOST), a principled framework for the development, optimization and evaluation of multicomponent interventions, to the field of implementation science. We suggest that MOST may be integrated with implementation science to advance the field, moving closer towards the ultimate goal of disseminating effective interventions to those in need. We offer three potential ways MOST may advance implementation science: (1) development of an effective and immediately scalable intervention; (2) adaptation of interventions to local contexts; and (3) optimization of the implementation of an intervention itself. Our goal is to inspire the integration of MOST with implementation science across a number of public health contexts.

Understanding Medical Distrust Among African American/Black and Latino Persons Living With HIV With Sub-Optimal Engagement Along the HIV Care Continuum: A Machine Learning Approach

Medical distrust is a potent barrier to participation in HIV care and medication use among African American/Black and Latino (AABL) persons living with HIV (PLWH). However, little is known about sociodemographic and risk factors associated with distrust. We recruited adult AABL PLWH from low socio-economic status backgrounds with insufficient engagement in HIV care (N = 512). Participants completed structured assessments on three types of distrust (of health care providers, health care systems, and counter-narratives), HIV history, and mental health. We used a type of machine learning called random forest to explore predictors of trust. On average, participants were 47 years old (SD = 11 years), diagnosed with HIV 18 years prior (SD = 9 years), and mainly male (64%) and African American/Black (69%). Depression and age were the most important predictors of trust. Among those with elevated depressive symptoms, younger participants had less trust than older, while among those without depression, trust was greater across all ages. The present study adds nuance to the literature on medical distrust among AABL PLWH and identifies junctures where interventions to build trust are needed most.

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.

African American/Black and Latino Adults with Detectable HIV Viral Load Evidence Substantial Risk for Polysubstance Substance Use and Co-occurring Problems: A Latent Class Analysis

Substance use problems are highly prevalent among persons living with (PLWH) in the United States and serve as serious barriers to engagement in HIV care. Yet, in contrast to studies of single substances, little is known about patterns of polysubstance use in this population. Moreover, other risk factors (e.g., financial hardship, incarceration, homelessness, and mental health distress) are also prevalent and complicate HIV management. The present study drew on a cross-sectional survey with African American/Black and Latino (AABL) adult PLWH from low socioeconomic status backgrounds in New York City who were insufficiently engaged in HIV care and evidenced detectable HIV viral load (N = 512). We used latent class analysis (LCA) to explore patterns of polysubstance use and their relationships to financial hardship, incarceration, homelessness, and mental health. LCA yielded three substance use classes: Class 1, a high polysubstance use/high-risk substance use class (9%); Class 2, a polysubstance use/moderate substance use risk class (18%); and Class 3, a moderate polysubstance use/moderate-to-low-risk substance use class (74%). Mental health symptoms were prevalent in all classes, but Class 1 had greater mental health distress than the other two classes. Current homelessness was more prevalent in Classes 1 and 2. We cannot end the HIV epidemic without engaging and treating AABL PLWH who have serious barriers to engagement along the HIV care continuum, and who evidence polysubstance use along with co-occurring risk factors. Clinical settings can develop outreach and engagement approaches to bring this subpopulation of PLWH into care settings, and further, specialized services are needed to successfully screen, treat, and retain them.

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).

Optimization of Spinal Manipulative Therapy Protocols: A Factorial Randomized Trial Within a Multiphase Optimization Framework

Spinal manipulative therapy (SMT) is a common nonpharmacological treatment for low back pain (LBP). Although generally supported by systematic reviews and practice guidelines, clinical trials evaluating SMT have been characterized by small effect sizes. This study adopts a Multiphase Optimization Strategy framework to examine individual components of an SMT delivery protocol using a single-blind trial with the goal of identifying and optimizing a multicomponent SMT protocol. We enrolled 241 participants with LBP. All participants received 2 SMT treatment sessions in the first week then were randomly assigned additional treatment based on a fully factorial design. The 3 randomized treatment components provided in twice weekly sessions over 3 weeks were multifidus activating exercise, spinal mobilizing exercise, and additional SMT dose. Primary outcomes included clinical (Oswestry Disability Index, numeric pain intensity rating) and mechanistic (spinal stiffness, multifidus muscle activation) measures assessed at baseline, 1, 4, and 12 weeks. Significant differences were found for the Oswestry index after 12 weeks for participants receiving multifidus activating exercise (mean difference = -3.62, 97.5% CI: -6.89, -0.35; P= .01). There were no additional significant main or interaction effects for other treatment components or different outcome measures. The optimized SMT protocol identified in this study included SMT sessions followed by multifidus activating exercises. PERSPECTIVE: Optimizing the effects of nonpharmacological treatments such as SMT for LBP is challenging due to uncertainty regarding mechanisms and the complexity of multicomponent protocols. This factorial randomized trial examined SMT protocols provided with differing co-interventions with mechanistic and patient-centered outcomes. Patient-centered outcomes were optimized by inclusion of lumbar multifidus strengthening exercises.

Outcomes and costs of publicly funded patient navigation interventions to enhance HIV care continuum outcomes in the United States: A before-and-after study

BACKGROUND

In the United States, patients with HIV face significant barriers to linkage to and retention in care which impede the necessary steps toward achieving the desired clinical outcome of viral suppression. Individual-level interventions, such as patient navigation, are evidence based, effective strategies for improving care engagement. In addition, use of surveillance and clinical data to identify patients who are not fully engaged in care may improve the effectiveness and cost-effectiveness of these programs.

METHODS AND FINDINGS

We employed a pre-post design to estimate the outcomes and costs, from the program perspective, of 5 state-level demonstration programs funded under the Health Resources and Services Administration's Special Projects of National Significance Program (HRSA/SPNS) Systems Linkages Initiative that employed existing surveillance and/or clinical data to identify individuals who had never entered HIV care, had fallen out of care, or were at risk of falling out of care and navigation strategies to engage patients in HIV care. Outcomes and costs were measured relative to standard of care during the first year of implementation of the interventions (2013 to 2014). We followed patients to estimate the number and proportion of additional patients linked, reengaged, retained, and virally suppressed by 12 months after enrollment in the interventions. We employed inverse probability weighting to adjust for differences in patient characteristics across programs, missing data, and loss to follow-up. We estimated the additional costs expended during the first year of each intervention and the cost per outcome of each intervention as the additional cost per HIV additional care continuum target achieved (cost per patient linked, reengaged, retained, and virally suppressed) 12 months after enrollment in each intervention. In this study, 3,443 patients were enrolled in Louisiana (LA), Massachusetts (MA), North Carolina (NC), Virginia (VA), and Wisconsin (WI) (147, 151, 2,491, 321, and 333, respectively). Patients were a mean of 40 years old, 75% male, and African American (69%) or Caucasian (22%). At baseline, 24% were newly diagnosed, 2% had never been in HIV care, 45% had fallen out of care, and 29% were at risk of falling out of care. All 5 interventions were associated with increases in the number and proportion of patients with viral suppression [percent increase: LA = 90.9%, 95% confidence interval (CI) = 88.4 to 93.4; MA = 78.1%, 95% CI = 72.4 to 83.8; NC = 47.5%, 95% CI = 45.2 to 49.8; VA = 54.6, 95% CI = 49.4 to 59.9; WI = 58.4, 95% CI = 53.4 to 63.4]. Overall, interventions cost an additional $4,415 (range = $3,746 to $5,619), $2,009 (range = $1,516 to $2,274), $920 (range = $627 to $941), $2,212 (range = $1,789 to $2,683), and $3,700 ($2,734 to $4,101), respectively per additional patient virally suppressed. The results of this study are limited in that we did not have contemporaneous controls for each intervention; thus, we are only able to assess patients against themselves at baseline and not against standard of care during the same time period.

CONCLUSIONS

Patient navigation programs were associated with improvements in engagement of patients in HIV care and viral suppression. Cost per outcome was minimized in states that utilized surveillance data to identify individuals who were out of care and/or those that were able to identify a larger number of patients in need of improvement at baseline. These results have the potential to inform the targeting and design of future navigation-type interventions.

Black and Latino Persons Living with HIV Evidence Risk and Resilience in the Context of COVID-19: A Mixed-Methods Study of the Early Phase of the Pandemic

The COVID-19 pandemic has great potential to disrupt the lives of persons living with HIV (PLWH). The present convergent parallel design mixed-methods study explored the early effects of COVID-19 on African American/Black or Latino (AABL) long-term survivors of HIV in a pandemic epicenter, New York City. A total of 96 AABL PLWH were recruited from a larger study of PLWH with non-suppressed HIV viral load. They engaged in structured assessments focused on knowledge, testing, trust in information sources, and potential emotional, social, and behavioral impacts. Twenty-six of these participants were randomly selected for in-depth semi-structured interviews. Participants were mostly men (64%), African American/Black (75%), and had lived with HIV for 17 years, on average (SD=9 years). Quantitative results revealed high levels of concern about and the adoption of recommended COVID-19 prevention recommendations. HIV care visits were commonly canceled but, overall, engagement in HIV care and antiretroviral therapy use were not seriously disrupted. Trust in local sources of information was higher than trust in various federal sources. Qualitative findings complemented and enriched quantitative results and provided a multifaceted description of both risk factors (e.g., phones/internet access were inadequate for some forms of telehealth) and resilience (e.g., “hustling” for food supplies). Participants drew a direct line between structural racism and the disproportional adverse effects of COVID-19 on communities of color, and their knowledge gleaned from the HIV pandemic was applied to COVID-19. Implications for future crisis preparedness are provided, including how the National HIV/AIDS Strategy can serve as a model to prevent COVID-19 from becoming another pandemic of the poor.

A Hybrid Evaluation-Optimization Trial to Evaluate an Intervention Targeting the Intersection of Alcohol and Sex in College Students and Simultaneously Test an Additional Component Aimed at Preventing Sexual Violence

BACKGROUND

Using the multiphase optimization strategy (MOST), we previously developed and optimized an online behavioral intervention, itMatters, aimed at reducing the risk of sexually transmitted infections (STI) among first-year college students by targeting the intersection of alcohol use and sexual behaviors.

PURPOSE

We had two goals: (a) to evaluate the optimized itMatters intervention and (b) to determine whether the candidate sexual violence prevention (SVP) component (included at the request of participating universities) had a detectable effect and therefore should be added to create a new version of itMatters. We also describe the hybrid evaluation-optimization trial we conducted to accomplish these two goals in a single experiment.

METHODS

First year college students (N = 3,098) at four universities in the USA were individually randomized in a hybrid evaluation-optimization 2 × 2 factorial trial. Data were analyzed using regression models, with pre-test outcome variables included as covariates in the models. Analyses were conducted separately with (a) immediate post-test scores and (b) 60-day follow-up scores as outcome variables.

RESULTS

Experimental results indicated a significant effect of itMatters on targeted proximal outcomes (norms) and on one distal behavioral outcome (binge drinking). There were no significant effects on other behavioral outcomes, including the intersection of alcohol and sexual behaviors. In addition, there were mixed results (positive short-term effect; no effect at 60-day follow-up) of the SVP component on targeted proximal outcomes (students' self-efficacy to reduce/prevent sexual violence and perceived effectiveness of protective behavioral strategies).

CONCLUSIONS

The hybrid evaluation-optimization trial enabled us to evaluate the individual and combined effectiveness of the optimized itMatters intervention and the SVP component in a single experiment, conserving resources and providing greatly improved efficiency.

TRIAL REGISTRATION

NCT04095065.

Stopping, starting, and sustaining HIV antiretroviral therapy: a mixed-methods exploration among African American/Black and Latino long-term survivors of HIV in an urban context

Background

Although periods of HIV antiretroviral therapy (ART) discontinuation have deleterious health effects, ART is not always sustained. Yet, little is known about factors that contribute to such ART non-persistence among long-term HIV survivors. The present study applied a convergent parallel mixed-methods design to explore the phenomena of stopping/starting and sustaining ART, focusing on low-socioeconomic status African American or Black and Latino persons living with HIV (PLWH) who face the greatest challenges.

Methods

Participants (N = 512) had poor engagement in HIV care and detectable HIV viral load. All received structured assessments and N = 48 were randomly selected for in-depth interviews. Quantitative analysis using negative binomial regression uncovered associations among multi-level factors and the number of times ART was stopped/started and the longest duration of sustained ART. Qualitative data were analyzed using a directed content analysis approach and results were integrated.

Results

Participants were diagnosed 18.2 years ago on average (SD = 8.6), started ART a median five times (Q1 = 3, Q3 = 10), and the median longest duration of sustained ART was 18 months (Q1 = 6, Q3 = 36). Factors associated with higher rates of stops/starts were male sex, transgender identity, cannabis use at moderate-to-high-risk levels, and ART- and care-related stigma. Factors associated with lower rates of stops/starts were older age, more years since diagnosis, motivation for care, and lifetime injection drug use (IDU). Factors associated with longer durations of sustained ART were Latino/Hispanic ethnicity, motivation for ART and care, and recent IDU. Factors associated with a shorter duration were African American/Black race, alcohol use at moderate-to-high-risk levels, and social support. Qualitative results uncovered a convergence of intersecting risk factors for stopping/starting ART and challenges inherent in managing HIV over decades in the context of poverty. These included unstable housing, which contributed to social isolation, mental health distress, and substance use concerns, the latter prompting selling (“diverting”) ART. Primarily complementary quantitative and qualitative findings described mechanisms by which risk/protective factors operated and ways PLWH successfully restart and/or sustain ART.

Conclusions

The field focuses substantially on ART adherence, but greater attention to reducing the frequency of ART non-persistence is needed, along with creating social/structural conditions favorable for sustained ART.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10464-x.

Brief Report: Understanding Preferences for HIV Care Among Patients Experiencing Homelessness or Unstable Housing: A Discrete Choice Experiment

BACKGROUND

Homelessness and unstable housing (HUH) negatively impact care outcomes for people living with HIV (PLWH). To inform the design of a clinic program for PLWH experiencing HUH, we quantified patient preferences and trade-offs across multiple HIV-service domains using a discrete choice experiment (DCE).

METHODS

We sequentially sampled PLWH experiencing HUH presenting at an urban HIV clinic with ≥1 missed primary care visit and viremia in the last year to conduct a DCE. Participants chose between 2 hypothetical clinics varying across 5 service attributes: care team "get to know me as a person" versus not; receiving $10, $15, or $20 gift cards for clinic visits; drop-in versus scheduled visits; direct phone communication to care team versus front-desk staff; and staying 2 versus 20 blocks from the clinic. We estimated attribute relative utility (ie, preference) using mixed-effects logistic regression and calculated the monetary trade-off of preferred options.

RESULTS

Among 65 individuals interviewed, 61% were >40 years old, 45% White, 77% men, 25% heterosexual, 56% lived outdoors/emergency housing, and 44% in temporary housing. Strongest preferences were for patient-centered care team [β = 3.80; 95% confidence interval (CI): 2.57 to 5.02] and drop-in clinic appointments (β = 1.33; 95% CI: 0.85 to 1.80), with a willingness to trade $32.79 (95% CI: 14.75 to 50.81) and $11.45 (95% CI: 2.95 to 19.95) in gift cards/visit, respectively.

CONCLUSIONS

In this DCE, PLWH experiencing HUH were willing to trade significant financial gain to have a personal relationship with and drop-in access to their care team rather than more resource-intensive services. These findings informed Ward 86's "POP-UP" program for PLWH-HUH and can inform "ending the HIV epidemic" efforts.

Understanding long-term HIV survivorship among African American/Black and Latinx persons living with HIV in the United States: a qualitative exploration through the lens of symbolic violence

BACKGROUND

Persons living with HIV (PLWH) are living longer, although racial/ethnic and socioeconomic status (SES) disparities persist. Yet, little is known about the experience of living with and managing HIV over decades. The present study took a qualitative approach and used the lens of symbolic violence, a type of internalized, non-physical violence manifested in the power differential between social groups. We focused on adult African American/Black and Latinx (AABL) PLWH from low-SES backgrounds.

METHODS

Data were drawn from two studies with AABL PLWH in New York City (N = 59). After providing signed informed consent, participants engaged in in-depth semi-structured interviews on aspects of HIV management. Interviews were audio-recorded and professionally transcribed verbatim, and data were analyzed using directed qualitative content analysis.

RESULTS

Participants in the two studies were comparable on sociodemographic and background characteristics. They had lived with HIV for 20 years, on average (range 3-33 years). All were from low-SES backgrounds and most were African American/Black and men. Participants experienced a convergence of multiple social exclusions, harms, and stigmas, consistent with symbolic violence, which contributed to disengagement from HIV care and discontinuation of HIV medications. We organized results into five sub-themes: (1) participants were "ground down" over time by material, social, and emotional challenges and this diminished self-worth and, at times, the will to live; (2) social isolation and self-isolation, based in part on feeling devalued and dehumanized, served as stigma-avoidance strategies and mechanisms of social exclusion; (3) stigmatizing aspects of patient-provider interactions, both experienced and anticipated, along with (4) restricted autonomy in HIV care and other settings (e.g., parole) reduced engagement; and (5) poor HIV management was internalized as a personal failure. Importantly, resilience was evident throughout the five sub-themes.

CONCLUSIONS

Symbolic violence is a useful framework for understanding long-term HIV management and survivorship among AABL PLWH from low-SES backgrounds. Indeed, forms of symbolic violence are internalized over time (e.g., experiencing devaluation, dehumanization, loss of self-worth, and anticipated stigma), thereby impeding successful HIV management, in part because avoiding HIV care and discontinuing HIV medications are primary coping strategies. Results have implications for interventions in community and health care settings.

Implementation Science Using Proctor's Framework and an Adaptation of the Multiphase Optimization Strategy: Optimizing a Financial Incentive Intervention for HIV Treatment Adherence in Tanzania

BACKGROUND

Ambitious targets have been set to end the HIV epidemic by 2030. Such targets assume that tools to end HIV exist and are successfully being deployed across populations, albeit unequally. Implementation science approaches are needed to understand the drivers of disparities and how to bring effective interventions to those most in need. We describe a hybrid implementation science approach, adapting a strategy to facilitate retention and viral suppression (VS) among people living with HIV/AIDS in Tanzania.

METHODS/DESIGN

We used Proctor framework and the multiphase optimization strategy to optimize a cash transfer to improve antiretroviral therapy adherence and VS among people living with HIV/AIDS in Tanzania. This involved 3 trials. The first trial tested the efficacy of cash and food assistance compared with the standard of care in improving antiretroviral therapy adherence among treatment initiators. Cash transfers were superior to the standard of care and noninferior, less expensive, and logistically simpler to implement compared with food. The second trial is dose-finding: identifying the optimal amount of cash for a 20% improvement in VS at 6 months. Before this, components were simplified to maximize reach, align with local policies, and reduce staff time. We assessed implementation science constructs to understand barriers to uptake and sustainability. Trial 3 is a cluster randomized controlled trial, testing the effectiveness of the optimized intervention in multiple settings.

DISCUSSION/IMPLICATIONS

Our process illustrates the utility of applying multiple implementation science frameworks to arrive at an optimal implementation strategy to bridge the know-do gap with data to show efficacy and maximum potential for scalability and sustainability.

An international, Delphi consensus study to identify priorities for methodological research in behavioral trials in health research

Background

Non-communicable chronic diseases are linked to behavioral risk factors (including smoking, poor diet and physical inactivity), so effective behavior change interventions are needed to improve population health. However, uptake and impact of these interventions is limited by methodological challenges. We aimed to identify and achieve consensus on priorities for methodological research in behavioral trials in health research among an international behavioral science community.

Methods

An international, Delphi consensus study was conducted. Fifteen core members of the International Behavioral Trials Network (IBTN) were invited to generate methodological items that they consider important. From these, the research team agreed a “long-list” of unique items. Two online surveys were administered to IBTN members (N = 306). Respondents rated the importance of items on a 9-point scale, and ranked their “top-five” priorities. In the second survey, respondents received feedback on others’ responses, before rerating items and re-selecting their top five.

Results

Nine experts generated 144 items, which were condensed to a long-list of 33 items. The four most highly endorsed items, in both surveys 1 (n = 77) and 2 (n = 57), came from two thematic categories:“Intervention development” (“Specifying intervention components” and “Tailoring interventions to specific populations and contexts”) and “Implementation” (“How to disseminate behavioral trial research findings to increase implementation” and “Methods for ensuring that behavioral interventions are implementable into practice and policy”). “Development of novel research designs to test behavioral interventions” also emerged as a highly ranked research priority.

Conclusions

From a wide array of identified methodological issues, intervention development, implementation and novel research designs are key themes to drive the future behavioral trials’ research agenda. Funding bodies should prioritize these issues in resource allocation.

"Our Tradition Our Enemy": A Qualitative Study of Barriers to Women's HIV Care in Jimma, Southwest Ethiopia

Evidence exists that suggests that women are vulnerable to negative HIV treatment outcomes worldwide. This study explored barriers to treatment outcomes of women in Jimma, Southwest Ethiopia. We interviewed 11 HIV patients, 9 health workers, 10 community advocates and 5 HIV program managers from 10 institutions using an in-depth interview guide designed to probe barriers to HIV care at individual, community, healthcare provider, and government policy levels. To systematically analyze the data, we applied a thematic framework analysis using NVivo. In total, 35 participants were involved in the study and provided the following interrelated barriers: (i) Availability— most women living in rural areas who accessed HIV cared less often than men; (ii) free antiretroviral therapy (ART) is expensive—most women who have low income and who live in urban areas sold ART drugs illegally to cover ART associated costs; (iii) fear of being seen by others—negative consequences of HIV related stigma was higher in women than men; (iv) the role of tradition—the dominance of patriarchy was found to be the primary barrier to women’s HIV care and treatment outcomes. In conclusion, barriers related to culture or tradition constrain women’s access to HIV care. Therefore, policies and strategies should focus on these contextual constrains.

Factorial Designs Help to Understand How Psychological Therapy Works

A large amount of research time and resources are spent trying to develop or improve psychological therapies. However, treatment development is challenging and time-consuming, and the typical research process followed-a series of standard randomized controlled trials-is inefficient and sub-optimal for answering many important clinical research questions. In other areas of health research, recognition of these challenges has led to the development of sophisticated designs tailored to increase research efficiency and answer more targeted research questions about treatment mechanisms or optimal delivery. However, these innovations have largely not permeated into psychological treatment development research. There is a recognition of the need to understand how treatments work and what their active ingredients might be, and a call for the use of innovative trial designs to support such discovery. One approach to unpack the active ingredients and mechanisms of therapy is the factorial design as exemplified in the Multiphase Optimization Strategy (MOST) approach. The MOST design allows identification of the active components of a complex multi-component intervention (such as CBT) using a sophisticated factorial design, allowing the development of more efficient interventions and elucidating their mechanisms of action. The rationale, design, and potential advantages of this approach will be illustrated with reference to the IMPROVE-2 study, which conducts a fractional factorial design to investigate which elements (e.g., thought challenging, activity scheduling, compassion, relaxation, concreteness, functional analysis) within therapist-supported internet-delivered CBT are most effective at reducing symptoms of depression in 767 adults with major depression. By using this innovative approach, we can first begin to work out what components within the overall treatment package are most efficacious on average allowing us to build an overall more streamlined and potent therapy. This approach also has potential to distinguish the role of specific versus non-specific common treatment components within treatment.

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

Background

Delivery of behavioral interventions is complex, as the majority of interventions consist of multiple components used either simultaneously, sequentially, or both. The importance of clearly delineating delivery strategies within these complex interventions—and furthermore understanding the impact of each strategy on effectiveness—has recently emerged as an important facet of intervention research. Yet, few methodologies exist to prospectively test the effectiveness of delivery strategies and how they impact implementation. In the current paper, we describe a study protocol for a large randomized controlled trial in which we will use the Multiphase Optimization Strategy (MOST), a novel framework developed to optimize interventions, i.e., to test the effectiveness of intervention delivery strategies using a factorial design. We apply this framework to delivery of Family Navigation (FN), an evidence-based care management strategy designed to reduce disparities and improve access to behavioral health services, and test four components related to its implementation.

Methods/design

The MOST framework contains three distinct phases: Preparation, Optimization, and Evaluation. The Preparation phase for this study occurred previously. The current study consists of the Optimization and Evaluation phases. Children aged 3-to-12 years old who are detected as “at-risk” for behavioral health disorders (n = 304) at a large, urban federally qualified community health center will be referred to a Family Partner—a bicultural, bilingual member of the community with training in behavioral health and systems navigation—who will perform FN. Families will then be randomized to one of 16 possible combinations of FN delivery strategies (2 × 2 × 2× 2 factorial design). The primary outcome measure will be achieving a family-centered goal related to behavioral health services within 90 days of randomization. Implementation data on the fidelity, acceptability, feasibility, and cost of each strategy will also be collected. Results from the primary and secondary outcomes will be reviewed by our team of stakeholders to optimize FN delivery for implementation and dissemination based on effectiveness, efficiency, and cost.

Discussion

In this protocol paper, we describe how the MOST framework can be used to improve intervention delivery. These methods will be useful for future studies testing intervention delivery strategies and their impact on implementation.

Trial registration

ClinicalTrials.gov, NCT03569449. Registered on 26 June 2018.

Simulation and minimization: technical advances for factorial experiments designed to optimize clinical interventions

BACKGROUND

The Multiphase Optimization Strategy (MOST) is designed to maximize the impact of clinical healthcare interventions, which are typically multicomponent and increasingly complex. MOST often relies on factorial experiments to identify which components of an intervention are most effective, efficient, and scalable. When assigning participants to conditions in factorial experiments, researchers must be careful to select the assignment procedure that will result in balanced sample sizes and equivalence of covariates across conditions while maintaining unpredictability.

METHODS

In the context of a MOST optimization trial with a 2x2x2x2 factorial design, we used computer simulation to empirically test five subject allocation procedures: simple randomization, stratified randomization with permuted blocks, maximum tolerated imbalance (MTI), minimal sufficient balance (MSB), and minimization. We compared these methods across the 16 study cells with respect to sample size balance, equivalence on key covariates, and unpredictability. Leveraging an existing dataset to compare these procedures, we conducted 250 computerized simulations using bootstrap samples of 304 participants.

RESULTS

Simple randomization, the most unpredictable procedure, generated poor sample balance and equivalence of covariates across the 16 study cells. Stratified randomization with permuted blocks performed well on stratified variables but resulted in poor equivalence on other covariates and poor balance. MTI, MSB, and minimization had higher complexity and cost. MTI resulted in balance close to pre-specified thresholds and a higher degree of unpredictability, but poor equivalence of covariates. MSB had 19.7% deterministic allocations, poor sample balance and improved equivalence on only a few covariates. Minimization was most successful in achieving balanced sample sizes and equivalence across a large number of covariates, but resulted in 34% deterministic allocations. Small differences in proportion of correct guesses were found across the procedures.

CONCLUSIONS

Based on the computer simulation results and priorities within the study context, minimization with a random element was selected for the planned research study. Minimization with a random element, as well as computer simulation to make an informed randomization procedure choice, are utilized infrequently in randomized experiments but represent important technical advances that researchers implementing multi-arm and factorial studies should consider.

Randomization procedures for multicomponent behavioral intervention factorial trials in the multiphase optimization strategy framework: challenges and recommendations

The multiphase optimization strategy (MOST) is an increasingly popular framework to prepare, optimize, and evaluate multicomponent behavioral health interventions. Within this framework, it is common to use a factorial trial to assemble an optimized multicomponent intervention by simultaneously testing several intervention components. With the possibility of a large number of conditions (unique combinations of components) and a goal to balance conditions on both sample size (for statistical efficiency) and baseline covariates (for internal validity), such trials face additional randomization challenges compared to the standard two-arm trial. The purpose of the current paper is to compare and contrast potential randomization methods for factorial trials in the context of MOST and to provide guidance for the reporting of those methods. We describe the principles, advantages, and disadvantages of several randomization methods in the context of factorial trials. We then provide examples to examine current practice in the MOST-related literature and provide recommendations for reporting of randomization. We identify two key randomization decisions for MOST-related factorial trials: (i) whether to randomize to components or conditions and (ii) whether to use restricted randomization techniques, such as stratification, permuted blocks, and minimization. We also provide a checklist to assist researchers in ensuring complete reporting of randomization methods used. As more investigators use factorial trials within the MOST framework for assembling optimized multicomponent behavioral interventions, appropriate implementation and rigorous reporting of randomization procedures will be essential for ensuring the efficiency and validity of the results.

Systemic Delays in the Initiation of Antiretroviral Therapy for Clinically Eligible HIV-Infected Patients in Houston, Texas: The Providers' Report Card

Background:

The current US HIV treatment guidelines support initiation of antiretroviral therapy (ART) for persons with HIV for personal health benefits and prevention of HIV transmission. However, high levels of adherence to ART are critical to maximize individual and public health benefits. We examined the nonclinical barriers to ART initiation for clinically eligible individuals and the provider- and patient-related factors associated with these barriers among HIV-infected patients in Houston/Harris County, Texas.

Methods:

We analyzed data obtained from a probability sample of HIV medical care providers (HMCPs) in 13 outpatient facilities in Houston/Harris County, Texas surveyed between June and September 2009. We used an inductive thematic approach to code HMCP responses to an open-ended question that asked the main reasons why providers may delay initiating ART for clinically eligible patients.

Results:

The reasons cited by providers for delaying ART for clinically eligible patients were adherence (42.5%; 95% confidence interval [CI]: 28.5-57.8), acceptance (30%; 95% CI: 18.1-45.4), and structural concerns (27.5%; 95% CI: 16.1-42.8), with significant variations (P < .0001) noted across patients’ race/ethnicity and transmission category. HIV medical care providers with 6 to 10 years’ experience in HIV care and those providing medical care for more than 100 patients monthly were about 4 times (adjusted odds ratio [aOR]: 3.80; 95% CI: 1.20-5.92; P = .039) and 10 times (aOR: 10.36; 95% CI: 1.42-22.70; P = .019) more likely to state adherence and acceptance concerns, respectively, as reasons for delaying ART for clinically eligible patients.

Conclusion:

Our findings highlight the fact that clinical guidelines are only a starting point for medical decision-making process and that patients themselves play an important role. HMCP access to referrals for other medical issues, support services, and treatment education may help improve adherence and patient readiness for ART, thereby avoiding systemic delays.

A scoping review of social-behaviour change techniques applied in complementary feeding interventions

Education and other strategies to promote optimal complementary feeding can significantly improve practices, but little is known about the specific techniques successful interventions use to achieve behaviour change. We reviewed the literature for complementary feeding interventions in low‐/middle‐income countries (LMIC) published since 2000. We systematically applied a validated taxonomy mapping process to code specific behaviour change techniques (BCTs) used in each intervention; effectiveness ratios for each BCT were estimated. Sixty‐four interventions met inclusion criteria, were abstracted, BCTs identified, and coded. Dietary diversity was the most commonly assessed component of complementary feeding, and interpersonal communication, either individually or in groups, was the most commonly used delivery platform. Of the 93 BCTs available for mapping, the 64 interventions included in this review applied a total of 28 BCTs. Interventions used a median of six techniques (max = 13; min = 2). All interventions used “instruction on how to perform the behaviour.” Other commonly applied BCTs included “use of a credible source” (n = 46), “demonstration of the behaviour” (n = 35), and “providing information about health consequences” (n = 30). Forty‐three interventions reported strategies to shift the physical or social environment. Among BCTs used in >20 interventions, five had effectiveness ratios >0.8: “provision of/enabling social support”; “providing information about health consequences”; “demonstration of the behaviour”; and “adding objects to the environment” namely, food, supplements, or agricultural inputs. The limited reporting of theory‐based BCTs in complementary feeding interventions may impede efforts to improve and scale effective programs and reduce the global burden of malnutrition.