Individual Intervention Components Research Articles

Efficacy of interventions aimed at reducing explicit and implicit weight bias in healthcare students: A systematic review and meta-analysis.

We conducted a systematic review and meta-analysis to determine the efficacy of interventions aimed at reducing weight bias in healthcare students, and to explore factors that may impact intervention success. A systematic review and random-effects meta-analyses were conducted by including studies that examined the efficacy of weight bias reduction interventions for healthcare students. Of the 3463 journal articles and dissertations screened, 67 studies (within 64 records) met inclusion criteria, with 35 studies included in the meta-analyses (explicit = 35, implicit [and explicit] = 10) and 32 studies included in the narrative synthesis (explicit = 34, implicit [and explicit] = 3). Weight bias interventions had a small but positive impact, g = -0.31 (95% CI = -0.43 to -0.19, p < 0.001), in reducing students' explicit weight bias but there was no intervention effect on implicit weight bias, g = -0.12 (95% CI = -0.26 to 0.02, p = 0.105). There was considerable heterogeneity in the pooled effect for explicit bias (I2 = 74.28, Q = 132.21, df = 34, p < 0.001). All subgroup comparisons were not significant (p > 0.05) and were unable to explain the observed heterogeneity. Narrative synthesis supported meta-analytic findings. The small but significant reduction of explicit weight bias encourages the continued testing of interventions, irrespective of variation in individual intervention components. Contrarily, reductions in implicit weight bias may only be possible from a large societal shift in negative beliefs and attitudes held towards people living in larger bodies.

P041 COMMUNITY-BASED STRATEGIES TO IMPROVE HEALTH-RELATED OUTCOMES IN PEOPLE LIVING WITH HYPERTENSION IN LOW MIDDLE-INCOME COUNTRIES: A SYSTEMATIC REVIEW AND META-ANALYSIS

Background and objective: Hypertension affects one billion people globally and is a major risk factor for cardiovascular diseases. Currently, it is estimated that high blood pressure (BP) is related to the deaths of more than 10 million people every year. Interventions to mitigate the looming hypertension crisis in low- and middle-income countries (LMIC) need strong community involvement whilst concurrently addressing access to care and quality of care issues. The objective of this systematic review was to evaluate community-level interventions to improve hypertension control among patients living in LMICs. Methods: Nine databases were searched (July 22, 2023) for randomized controlled trials (RCTs) and cluster randomized control trials (cRCTs) implementing community-level interventions in adults with hypertension in LMICs. Studies were included based on an explicit focus on BP control. Quality assessment was done using the Revised Cochrane Risk of Bias tool for randomized trials (ROBS 2). Results were presented following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Fixed-effect meta-analysis were conducted for studies that reported continuous outcome measures. Results: We identified and screened 7125 articles. Eighteen studies were included in the analysis, 7 RCTs and 11 cRCTs. The overall summary effect of BP control from the meta-analysis was significant, risk ratio = 1.48 (95%CI = 1.40–1.57, n=12). For the RCTs risk ratio was 1.68 (95%CI = 1.40–2.01, n=5), and for the cRCTs 1.46 (95% CI = 1.32 – 1.61, n=7). For studies that reported on the individual components of the composite interventions, the risk ratio was 1.27 (95%CI = 1.04–1.54, n=3). Conclusions: Community-based strategies are relevant in addressing the burden of hypertension in LMICs. Community-based interventions can help decentralize hypertension care in LMIC and address the access to care gap without diminishing the quality of hypertension control.

Quality of Life Outcomes in Breast Cancer Patients Receiving Chemotherapy With or Without Radiation Therapy

PurposeUnderstanding quality of life (QOL) implications of individual components of breast cancer treatment is important as systemic therapies continue to improve oncologic outcomes. We hypothesized that adjuvant radiation therapy does not significantly impact QOL domains in breast cancer patients undergoing chemotherapy. MethodsData was drawn from three prospective studies in women with localized breast cancer being treated with chemotherapy from March 2014 to December 2019. Patient-reported measures were collected at baseline (pretreatment) and post-treatment using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) measure, which consists of 5 subscales. Changes in mean QOL scores in patients who received radiotherapy were compared to those who did not using a one-sided noninferiority method. Statistical significance was determined below 0.05 to meet noninferiority. ResultsIn a sample of 175 patients, 131 were treated with radiation and 44 had no radiation. The sample consisted mostly of stage I-II breast cancer (78%) with hormone receptor positive (59%) disease, receiving either neoadjuvant (36%) or adjuvant chemotherapy (64%). Mean change in QOL for the group treated with radiation compared to no radiation was noninferior with respect to Physical Well-Being (P = .0027), Social/Family Well-Being (P = .0002), Emotional Well-Being (P = .0203), FACIT-Fatigue Subscale (P = .0072), and the Total FACIT-F score (P = .0005); however, mean change in QOL did not meet noninferiority for Functional Well-Being (P = .0594). ConclusionPatient-reported QOL from baseline to post-treatment, using the Total FACIT-F score, was noninferior in patients treated with versus without radiation therapy. This finding, in addition to individualized QOL subscales, provides important information in the informed decision-making process when discussing the effects of locoregional radiation on QOL in localized breast cancer patients treated with chemotherapy.

Latent class analysis of psychological resilience and influencing factors in patients with rheumatoid arthritis: a cross-sectional survey.

To investigate the latent class of psychological resilience in patients with rheumatoid arthritis (RA) and examine the factors influencing various latent types. A cross-sectional survey design was used in this study. A total of 480 patients with RA were enrolled from two tertiary care institutions in Chengdu, Sichuan Province, between May and November 2023, using the convenience sample approach. The General Information Questionnaire, CD-RISC-10, SSRS, ASES-8, and BRAF-MDQ were used to analyze the latent classes of psychological resilience in the respondents, and the factors influencing the latent classes were explored using one-way analysis of variance, analysis of variance, and multi-categorical logistic regression analysis. Overall, 423 valid questionnaires were returned, indicating an 88.13% effective return rate. A latent class analysis revealed that RA patients were divided into three classes of psychological resilience: low-level (20.3%), moderate-level (31.0%), and high-level (48.7%) psychological resilience. A multi-categorical logistic regression analysis found that social support, self-efficacy, weariness, age, work status, and somatic pain all significantly influenced psychological resilience in RA patients. Three classes of RA patients' psychological resilience were identified by this study, and these classes were strongly correlated with individual treatment components. It is crucial to take into account the psychological resiliency of female RA patients who do not have a job. In order to improve psychological resilience, healthcare staff should first increase their comprehension of treat-to-target. Furthermore, people with RA may become more psychologically resilient if they receive more social support. Key Points • Preliminary research found that psychological resilience in RA patients was associated with three latent classes. • In RA patients, psychological resilience was significantly influenced by self-efficacy, fatigue, age, work status, physical pain, and social support. • The fundamental goal of bolstering RA patients' psychological resilience is to reaffirm their place in the treatment process, for example, by improving patient compliance and achieving treat-to-target earlier.

Abstract IA008: Racial disparities in guideline-concordant endometrial cancer treatment

Abstract Mortality associated with endometrial cancer is 98% higher among Black as compared with White women. A large body of literature has evaluated differential treatment patterns as a potential determinant of increased mortality among Black women. In most studies, receipt of individual endometrial cancer treatment components (i.e., surgery, radiation, chemotherapy) is compared between Black and White women. Moreover, individual treatment components are typically considered binary variables (received vs. not received) with the received category reflecting a wide spectrum of treatments received. For example, women who receive one vs. six cycles of chemotherapy would be similarly labeled as receiving chemotherapy, despite a clear difference in treatment intensity. In contrast, recent studies have begun to evaluate racial and ethnic differences in the complete course of treatment as a unit, within the context of established guidelines. The National Comprehensive Cancer Network guidelines provide evidence-based endometrial cancer treatment recommendations based on clinical trials and observational research. Surgery is the first step of guideline-concordant treatment and pathology factors captured from surgery inform adjuvant treatment recommendations. Since the distribution of tumor characteristics that guide treatment recommendations varies between Black and White women, we should expect racial differences in use of adjuvant radiation and chemotherapy. However, when conceptualizing treatment as guideline-concordant vs. discordant, racial and ethnic differences clearly signal disparate quality of care. In this presentation, we will discuss the need for research on endometrial cancer treatment disparities to shift from a paradigm of exploring individual treatment components to one in which receipt of guideline-concordant treatment is the focus. Moreover, through the lens of a recently funded grant, we will discuss the value of using an explicit disparities definition in analyses of guideline-concordant treatment, which allows for decomposition of the sources of racial and ethnic disparities. Differences in healthcare related to clinical need or preference are not considered sources of disparities, reflecting the normative view that these differences are acceptable, and therefore, just. On the other hand, unjust sources of disparities include the operation of healthcare systems, the legal and regulatory climate, and discrimination, among other factors. In addition to the selection of a rigorous and nuanced disparities definition, future research on guideline-concordant treatment disparities should investigate the role of multilevel factors that reflect the social determinants of health. Cancer health disparities are entrenched in the social determinants of health, which cannot be effectively addressed at the individual-level alone. Citation Format: Ashley S. Felix. Racial disparities in guideline-concordant endometrial cancer treatment [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr IA008.

A mixed-methods evaluation of organization and individual factors influencing provider intentions to use caregiver coaching in community-based early intervention.

Most psycho-social interventions contain multiple components. Practitioners often vary in their implementation of different intervention components. Caregiver coaching is a multicomponent intervention for young autistic children that is highly effective but poorly implemented in community-based early intervention (EI). Previous research has shown that EI providers' intentions, and the determinants of their intentions, to implement caregiver coaching vary across components. Organizational culture and climate likely influence these psychological determinants of intention by affecting beliefs that underlie attitudes, norms, and self-efficacy to implement an intervention. Research in this area is limited, which limits the development of theoretically driven, multilevel implementation strategies to support multi-component interventions. This mixed methods study evaluated the relationships among organizational leadership, culture and climate, attitudes, norms, self-efficacy, and EI providers' intentions to implement the components of caregiver coaching. We surveyed 264 EI providers from 37 agencies regarding their intentions and determinants of intentions to use caregiver coaching. We also asked questions about the organizational culture, climate, and leadership in their agencies related to caregiver coaching. We used multilevel structural equation models to estimate associations among intentions, psychological determinants of intentions (attitudes, descriptive norms, injunctive norms, and self-efficacy), and organizational factors (implementation climate and leadership). We conducted qualitative interviews with 36 providers, stratified by strength of intentions to use coaching. We used mixed-methods analysis to gain an in-depth understanding of the organization and individual-level factors. The associations among intentions, psychological determinants of intentions, and organizational factors varied across core components of caregiver coaching. Qualitative interviews elucidated how providers describe the importance of each component. For example, providers' attitudes toward coaching caregivers and their perceptions of caregivers' expectations for service were particularly salient themes related to their use of caregiver coaching. Results highlight the importance of multi-level strategies that strategically target individual intervention components as well as organization-level and individual-level constructs. This approach holds promise for improving the implementation of complex, multicomponent, psychosocial interventions in community-based service systems.

The core functions and forms paradigm throughout EPIS: designing and implementing an evidence-based practice with function fidelity.

There are numerous frameworks for implementing evidence-based practices (EBPs) in novel settings to achieve "fidelity." However, identifying appropriate referents for fidelity poses a challenge. The Core Functions and Forms paradigm offers a model that can inform adaptation decisions throughout all phases of the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. We applied the Core Functions-Forms paradigm throughout the Exploration and Preparation phases of EPIS in the design of two EBPs targeting family protective factors among Latinos in San Diego, as well as describe plans for its use in Implementation and Sustainment. We employed a distinct approach for each intervention element to contrast adaptation decisions that prioritize adherence to either form or function fidelity. We describe our application of the functions-forms paradigm within the EPIS framework, focusing on the Preparation phase. We also provide functions-forms matrices that map out the relationship between individual intervention components (forms) and the essential processes (functions) by which components are theorized to exert their impact. This case study of how the core functions-forms framework can be mapped onto EPIS can support a conceptual shift from prioritizing form fidelity to also focusing on function fidelity. This might allow interventionists to target appropriate fidelity referents when adapting an EBP, rather than defaulting to maintaining fidelity to forms as described in the protocol. We see great promise for using this framework for guiding actions throughout all EPIS phases and informing future applications of this paradigm to foster more robust fidelity to function.

Population-based interventions for preventing falls and fall-related injuries in older people.

Population-based interventions for preventing falls and fall-related injuries in older people.

Making it transparent: A worked example of articulating programme theory for a digital health application using Intervention Mapping.

Digital health interventions for behaviour change are usually complex interventions, and intervention developers should 'articulate programme theory', that is, they should offer detailed descriptions of individual intervention components and their proposed mechanisms of action. However, such detailed descriptions often remain lacking. The objective of this work was to provide a conceptual case study with an applied example of 'articulating programme theory' for a newly developed digital health intervention. Intervention Mapping methodology was applied to arrive at a detailed description of programme theory for a newly developed digital health intervention that aims to support cardiac rehabilitation patients in establishing heart-healthy physical activity habits. Based on a Predisposing, Reinforcing, and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) logic model of the problem, a logic model of change was developed. The proposed mechanisms of action were visualised in an acyclic behaviour change diagram. Programme theory for this digital health intervention includes 4 sub-behaviours of the main target behaviour (i.e. habitual heart-healthy physical activity), 8 personal determinants and 12 change objectives (i.e. changes needed at the determinant level to achieve the sub-behaviours). These are linked to 12 distinct features of the digital health intervention and 12 underlying behaviour change methods. This case study offers a worked example of articulating programme theory for a digital health intervention using Intervention Mapping. Intervention developers and researchers may draw on this example to replicate the method, or to reflect on most suitable approaches for their own behaviour change interventions.

Mothers’ experiences of a lifestyle intervention for weight reduction 12 months after gestational diabetes mellitus: Qualitative findings from the PAIGE2 study

The standardised pooled prevalence of gestational diabetes mellitus (GDM) globally is approximately 14 %, a reflection of increasing rates of obesity in women of childbearing age. Lifestyle interventions to reduce GDM and subsequent type 2 diabetes (T2D) have been deemed a research priority but are challenging to perform and have variable success rates. The PAIGE2 study was a pragmatic lifestyle randomised controlled trial for women with GDM and body mass index ≥25 kg/m2, which began during pregnancy and continued for one year postnatally. The primary outcome was weight loss 12 months postnatally compared with mothers receiving standard maternity care. Qualitative results are presented from end of study focus groups conducted amongst intervention mothers to gather feedback and determine acceptability of the PAIGE2 intervention. In total, 19 mothers participated in five virtual focus groups. Content analysis explored general study experience, longer term changes to lifestyle and suggested improvements of intervention components including monthly phone calls, motivational text messages, Fitbit experience, Slimming World, and study contact timings. Overall, most mothers found the individual PAIGE2 intervention components enjoyable, although opinions differed as to which were the most effective. Several mothers claimed the intervention helped them make long-term changes to their behaviours. A common suggested improvement was the establishment of a local group where mothers could share their experiences. In conclusion, most mothers deemed the intervention acceptable, and felt that with minor enhancements, it could be utilised as an effective tool to support weight loss after pregnancy and reduce future risk of obesity and T2D.

Light-Dark and Activity Rhythm Therapy (L-DART) to Improve Sleep in People with Schizophrenia Spectrum Disorders: A Single-Group Mixed Methods Study of Feasibility, Acceptability and Adherence.

People with a diagnosis of schizophrenia often have poor sleep, even when their psychotic symptoms are relatively well managed. This includes insomnia, sleep apnoea, hypersomnia, and irregular or non-24 h sleep-wake timing. Improving sleep would better support recovery, yet few evidence-based sleep treatments are offered to this group. This paper presents a mixed methods feasibility and acceptability study of Light-Dark and Activity Rhythm Therapy (L-DART). L-DART is delivered by an occupational therapist over 12 weeks. It is highly personalisable to sleep phenotypes and circumstances. Ten participants with schizophrenia spectrum diagnoses and sleep problems received L-DART; their sleep problems and therapy goals were diverse. We measured recruitment, attrition, session attendance, and adverse effects, and qualitatively explored acceptability, engagement, component delivery, adherence, activity patterns, dynamic light exposure, self-reported sleep, wellbeing, and functioning. Recruitment was ahead of target, there was no attrition, and all participants received the minimum 'dose' of sessions. Acceptability assessed via qualitative reports and satisfaction ratings was good. Adherence to individual intervention components varied, despite high participant motivation. All made some potentially helpful behaviour changes. Positive sleep and functioning outcomes were reported qualitatively as well as in outcome measures. The findings above support testing the intervention in a larger randomised trial ISRCTN11998005.

Using the multiphase optimization strategy to adapt cognitive processing therapy (CPT MOST): study protocol for a randomized controlled factorial experiment

BackgroundApproximately ten percent of US military veterans suffer from posttraumatic stress disorder (PTSD). Cognitive processing therapy (CPT) is a highly effective, evidence-based, first-line treatment for PTSD that has been widely adopted by the Department of Veterans Affairs (VA). CPT consists of discrete therapeutic components delivered across 12 sessions, but most veterans (up to 70%) never reach completion, and those who discontinue therapy receive only four sessions on average. Unfortunately, veterans who drop out prematurely may never receive the most effective components of CPT. Thus, there is an urgent need to use empirical approaches to identify the most effective components of CPT so CPT can be adapted into a briefer format.MethodsThe multiphase optimization strategy (MOST) is an innovative, engineering-inspired framework that uses an optimization trial to assess the performance of individual intervention components within a multicomponent intervention such as CPT. Here we use a fractional factorial optimization trial to identify and retain the most effective intervention components to form a refined, abbreviated CPT intervention package. Specifically, we used a 16-condition fractional factorial experiment with 270 veterans (N = 270) at three VA Medical Centers to test the effectiveness of each of the five CPT components and each two-way interaction between components. This factorial design will identify which CPT components contribute meaningfully to a reduction in PTSD symptoms, as measured by PTSD symptom reduction on the Clinician-Administered PTSD Scale for DSM-5, across 6 months of follow-up. It will also identify mediators and moderators of component effectiveness. DiscussionThere is an urgent need to adapt CPT into a briefer format using empirical approaches to identify its most effective components. A brief format of CPT may reduce attrition and improve efficiency, enabling providers to treat more patients with PTSD. The refined intervention package will be evaluated in a future large-scale, fully-powered effectiveness trial. Pending demonstration of effectiveness, the refined intervention can be disseminated through the VA CPT training program.Trial registrationClinicalTrials.gov NCT05220137. Registration date: January 21, 2022.

Preventing mental health problems in children after high conflict parental separation/divorce study: An optimization randomized controlled trial protocol

Parental divorce is a childhood stressor that affects approximately 1.1 million children in the U.S. annually. The children at greatest risk for deleterious mental health consequences are those exposed to high interparental conflict (IPC) following the separation/divorce. Research shows that children's emotional security and coping efficacy mediate the impact of IPC on their mental health. Interventions targeting their adaptive coping in response to IPC events may bolster their emotional security and coping efficacy. However, existing coping interventions have not been tested with children exposed to high post-separation/divorce IPC, nor has any study assessed the effects of individual intervention components on children's coping with IPC and their mental health. This intensive longitudinal intervention study examines the mechanisms through which coping intervention components impact children's responses to interactions in interparental relationships. A 23 factorial experiment will assess whether, and to what extent, three candidate intervention components demonstrate main and interactive effects on children's coping and mental health. Children aged 9–12 (target N = 144) will be randomly assigned to one of eight combinations of three components with two levels each: (1) reappraisal (present vs. absent), (2) distraction (present vs. absent), (3) relaxation (present vs. absent). The primary outcomes are child-report emotional security and coping efficacy at one-month post-intervention. Secondary outcomes include internalizing and externalizing problems at the three-month follow-up. Based on data from this optimization phase RCT, intervention components will be selected to comprise a multi-component intervention and assessed for effectiveness in a subsequent evaluation phase RCT.

Protocol of the process evaluation of cluster randomised control trial for estimating the effectiveness and cost-effectiveness of a complex intervention to increase care home staff influenza vaccination rates compared to usual practice (FluCare)

BackgroundInfluenza (flu) vaccination rates in UK care home staff are extremely low. Less than 40% of staff in care homes are vaccinated for influenza (flu), presenting risks to the health of frail residents and potential staff absence from cross-infection. Staff often do not perceive a need for vaccination and are unaware they are entitled to free flu vaccination. The FluCare study, a cluster randomised control trial (RCT), uses behavioural interventions to address barriers. Videos, posters, and leaflets are intended to raise awareness of flu vaccination benefits and debunk myths. On-site staff vaccination clinics increase accessibility. Financial incentives to care homes for improved vaccination rates and regular monitoring influence the environment. This paper outlines the planned process evaluation which will describe the intervention’s mechanisms of action, explain any changes in outcomes, identify local adaptations, and inform design of the implementation phase.Methods/designA mixed method process evaluation to inform the interpretation of trial findings.Objectives• Describe the intervention as delivered in terms of dose and fidelity, including adaptations and variations across care homes.• Explore the effects of individual intervention components on primary outcomes.• Investigate the mechanisms of impact.• Describe the perceived effectiveness of relevant intervention components (including videos, leaflets, posters, and flu clinics) from participant perspectives (care home manager, care home staff, flu clinic providers).• Describe the characteristics of care homes and participants to assess reach.A purposive sample of twenty care homes (ten in the intervention arm, ten in the control arm) for inclusion in the process evaluation. Data will include (1) study records including care home site profiles, (2) responses to a mechanism of action questionnaire, and (3) semi-structured interviews with care home staff and clinic providers. Quantitative data will be descriptively reported. Interview data will be thematically analysed and then categories mapped to the Theoretical Domains Framework.DiscussionAdopting this systematic and comprehensive process evaluation approach will help ensure data is captured on all aspects of the trial, enabling a full understanding of the intervention implementation and RCT findings.Trial registrationISRCTN ISRCTN22729870. Registered on 24 August 2022.

Trusted residents and housing assistance to decrease violence exposure in New Haven (TRUE HAVEN): a strengths-based and community-driven stepped-wedge intervention to reduce gun violence

BackgroundWe describe the rationale and study design for “TRUsted rEsidents and Housing Assistance to decrease Violence Exposure in New Haven (TRUE HAVEN),” a prospective type 1 hybrid effectiveness/implementation study of a multi-level intervention using a stepped wedge design. TRUE HAVEN aims to lower rates of community gun violence by fostering the stability, wealth, and well-being of individuals and families directly impacted by incarceration through the provision of stable housing and by breaking the cycle of trauma.DesignTRUE HAVEN is an ongoing, multi-level intervention with three primary components: financial education paired with housing support (individual level), trauma-informed counseling (neighborhood level), and policy changes to address structural racism (city/state level). Six neighborhoods with among the highest rates of gun violence in New Haven, Connecticut, will receive the individual and neighborhood level intervention components sequentially beginning at staggered 6-month steps. Residents of these neighborhoods will be eligible to participate in the housing stability and financial education component if they were recently incarcerated or are family members of currently incarcerated people; participants will receive intense financial education and follow-up for six months and be eligible for special down payment and rental assistance programs. In addition, trusted community members and organization leaders within each target neighborhood will participate in trauma-informed care training sessions to then be able to recognize when their peers are suffering from trauma symptoms, to support these affected peers, and to destigmatize accessing professional mental health services and connect them to these services when needed. Finally, a multi-stakeholder coalition will be convened to address policies that act as barriers to housing stability or accessing mental healthcare. Interventions will be delivered through existing partnerships with community-based organizations and networks. The primary outcome is neighborhood rate of incident gun violence. To inform future implementation and optimize the intervention package as the study progresses, we will use the Learn As You Go approach to optimize and assess the effectiveness of the intervention package on the primary study outcome.DiscussionResults from this protocol will yield novel evidence for whether and how addressing structural racism citywide leads to a reduction in gun violence.Trial registrationClinicalTrials.gov Identifier: NCT05723614. Registration date: February 01, 2023. Please refer to https://clinicaltrials.gov/ct2/show/NCT05723614 for public and scientific inquiries.

Model selection for component network meta-analysis in connected and disconnected networks: a simulation study

BackgroundNetwork meta-analysis (NMA) allows estimating and ranking the effects of several interventions for a clinical condition. Component network meta-analysis (CNMA) is an extension of NMA which considers the individual components of multicomponent interventions. CNMA allows to “reconnect” a disconnected network with common components in subnetworks. An additive CNMA assumes that component effects are additive. This assumption can be relaxed by including interaction terms in the CNMA.MethodsWe evaluate a forward model selection strategy for component network meta-analysis to relax the additivity assumption that can be used in connected or disconnected networks. In addition, we describe a procedure to create disconnected networks in order to evaluate the properties of the model selection in connected and disconnected networks. We apply the methods to simulated data and a Cochrane review on interventions for postoperative nausea and vomiting in adults after general anaesthesia. Model performance is compared using average mean squared errors and coverage probabilities.ResultsCNMA models provide good performance for connected networks and can be an alternative to standard NMA if additivity holds. For disconnected networks, we recommend to use additive CNMA only if strong clinical arguments for additivity exist.ConclusionsCNMA methods are feasible for connected networks but questionable for disconnected networks.

Designing a childhood obesity preventive intervention using the multiphase optimization strategy: The Healthy Bodies Project.

Preventing the development of childhood obesity requires multilevel, multicomponent, comprehensive approaches. Study designs often do not allow for systematic evaluation of the efficacy of individual intervention components before the intervention is fully tested. As such, childhood obesity prevention programs may contain a mix of effective and ineffective components. This article describes the design and rationale of a childhood obesity preventive intervention developed using the multiphase optimization strategy, an engineering-inspired framework for optimizing behavioral interventions. Using a series of randomized experiments, the objective of the study was to systematically test, select, and refine candidate components to build an optimized childhood obesity preventive intervention to be evaluated in a subsequent randomized controlled trial. A 24 full factorial design was used to test the individual and combined effects of four candidate intervention components intended to reduce the risk for childhood obesity. These components were designed with a focus on (a) improving children's healthy eating behaviors and nutrition knowledge, (b) increasing physical activity and reducing sedentary activity in the childcare setting, (c) improving children's behavioral self-regulation, and (d) providing parental web-based education to address child target outcomes. The components were tested with approximately 1400 preschool children, ages 3-5 years in center-based childcare programs in Pennsylvania, the majority of which served predominantly Head-Start eligible households. Primary child outcomes included healthy eating knowledge, physical and sedentary activity, and behavioral self-regulation. Secondary outcomes included children's body mass index and appetitive traits related to appetite regulation. Four intervention components were developed, including three classroom curricula designed to increase preschool children's nutrition knowledge, physical activity, and behavioral, emotional, and eating regulation. A web-based parent education component included 18 lessons designed to improve parenting practices and home environments that would bolster the effects of the classroom curricula. A plan for analyzing the specific contribution of each component to a larger intervention was developed and is described. The efficacy of the four components can be evaluated to determine the extent to which they, individually and in combination, produce detectable changes in childhood obesity risk factors. The resulting optimized intervention should later be evaluated in a randomized controlled trial, which may provide new information on promising targets for obesity prevention in young children. This research project highlights the ways in which an innovative approach to the design and initial evaluation of preventive interventions may increase the likelihood of long-term success. The lessons from this research project have implications for childhood obesity research as well as other preventive interventions that include multiple components, each targeting unique contributors to a multifaceted problem.

What works in medication reconciliation: an on-treatment and site analysis of the MARQUIS2 study

BackgroundThe second Multicenter Medication Reconciliation Quality Improvement Study demonstrated a marked reduction in medication discrepancies per patient. The aim of the current analysis was to determine the association of patient...

Gratitude and Adolescents’ Mental Health and Well-Being: Effects and Gender Differences for a Positive Social Media Intervention in High Schools

Gratitude interventions can provide cost-effective support for mental health to under-resourced schools. This study aims to better understand the effects of a promising intervention Bono et al. evaluated in 2020. Using a quasi-experimental design (where classes were assigned to a thanking app, gratitude curriculum, app + curriculum, or control condition), that evaluation found that the full (combined) intervention impacted students’ self-reported trait gratitude, anxiety, and subjective well-being (SWB) over six weeks, compared against only the control condition. However, here, we evaluated the individual intervention components’ effectiveness on students (N = 326) using multilevel modeling. As hypothesized, the full intervention impacted students’ gratitude, anxiety, and SWB, compared to the control condition, but impacted SWB more than the app-only condition, suggesting that teaching gratitude science makes thanking more meaningful. Then, we examined if stress mediated these effects. Perceived stress partially mediated the relationships of gratitude with depression and SWB and fully mediated the relationship of gratitude with anxiety. Additionally, changes in perceived stress and SWB differed by gender. Finally, we qualitatively analyzed thanks exchanges during the intervention using informal content analysis and found themes of psychological safety—a critical feature neglected in other interventions. We conclude with recommendations for optimizing school gratitude interventions.

Supporting adjuvant endocrine therapy adherence in women with breast cancer: the development of a complex behavioural intervention using Intervention Mapping guided by the Multiphase Optimisation Strategy

BackgroundAdjuvant endocrine therapy (AET) reduces the risk of breast cancer recurrence and mortality. However, up to three-quarters of women with breast cancer do not take AET as prescribed. Existing interventions to support adherence to AET have largely been unsuccessful, and have not focused on the most salient barriers to adherence. This paper describes the process of developing four theory-based intervention components to support adherence to AET. Our aim is to provide an exemplar of intervention development using Intervention Mapping (IM) with guidance from the Multiphase Optimisation Strategy (MOST).MethodsIterative development followed the six-stage IM framework with stakeholder involvement. Stage 1 involved a literature review of barriers to adherence and existing interventions, which informed the intervention objectives outlined in Stage 2. Stage 3 identified relevant theoretical considerations and practical strategies for supporting adherence. Stage 4 used information from Stages 1-3 to develop the intervention components. Stages 1-4 informed a conceptual model for the intervention package. Stages 5 and 6 detailed implementation considerations and evaluation plans for the intervention package, respectively.ResultsThe final intervention package comprised four individual intervention components: Short Message Service to encourage habitual behaviours surrounding medication taking; an information leaflet to target unhelpful beliefs about AET; remotely delivered Acceptance and Commitment Therapy-based guided self-help to reduce psychological distress; and a website to support self-management of AET side-effects. Considerations for implementation within the NHS, including cost, timing and mode of delivery were outlined, with explanation as to how using MOST can aid this. We detail our plans for the final stage of IM which involve feasibility testing. This involved planning an external exploratory pilot trial using a 24-1 fractional factorial design, and a process evaluation to assess acceptability and fidelity of intervention components.ConclusionsWe have described a systematic and logical approach for developing a theoretically informed intervention package to support medication adherence in women with breast cancer using AET. Further research to optimise the intervention package, guided by MOST, has the potential to lead to more effective, efficient and scalable interventions.