Daniel K Cooper, Benjamin L Bayly, Eric K Layland, Francesca Lupini, Darha M Ponder, Martha E Wadsworth
{"title":"Understanding Who Benefits Most from Family-Based Prevention: Differential Intervention Effects for Families with Low Income.","authors":"Daniel K Cooper, Benjamin L Bayly, Eric K Layland, Francesca Lupini, Darha M Ponder, Martha E Wadsworth","doi":"10.1007/s11121-026-01954-8","DOIUrl":"10.1007/s11121-026-01954-8","url":null,"abstract":"<p><p>Multicomponent family-based interventions can mitigate the adverse effects of poverty on family functioning. However, benefits are not uniform across families. Limited research has examined how distinct constellations of poverty-related risk shape engagement with and responsiveness to preventive interventions. Using a person-centered approach, this study tested whether pre-intervention risk classes predicted differential engagement with and response to the Fatherhood, Relationship, and Marriage Education (FRAME) intervention, a program based on the Family Stress Model and designed to strengthen parental coping, couple relationships, and parenting practices. Participants were 301 mother-father-child triads with household incomes at or below 200% of the federal poverty level. Building on prior research that identified four latent risk classes, we examined whether class membership predicted session attendance and moderated intervention effects on family relational and behavioral outcomes assessed six months post-intervention using combined mother and father reports. Results indicated heterogeneity in both engagement and intervention response. Families characterized by moderate economic stress and elevated parental depressive symptoms demonstrated the highest attendance and the most favorable response, particularly for couple relationship quality. Families in the lowest and highest risk classes received few benefits, with the lowest risk group experiencing adverse effects on some outcomes. Sensitivity analyses suggested additional gender-specific patterns, indicating that mothers' and fathers' responses may differ within certain risk classes. These findings highlight the value of identifying multidimensional risk classes when evaluating preventive interventions and support precision approaches to intervention delivery.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13573223/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148608722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexa C Budavari, Catherine P Bradshaw, Kate Somerville, Michelle K Francis, Jennifer Jeffrey-Pearsall, Elise T Pas
{"title":"A Research-Practice Partnership to Scale Positive Behavior Support: Data-Based Decision-Making to Inform the Assessment of Implementation Fidelity.","authors":"Alexa C Budavari, Catherine P Bradshaw, Kate Somerville, Michelle K Francis, Jennifer Jeffrey-Pearsall, Elise T Pas","doi":"10.1007/s11121-026-01952-w","DOIUrl":"https://doi.org/10.1007/s11121-026-01952-w","url":null,"abstract":"<p><p>Research-practice partnerships (RPPs) can play a key role in the implementation and scale up of school-based preventive interventions and programs. An RPP, referred to as PBIS Maryland, has been collaborating on the implementation of Schoolwide Positive Behavioral Interventions and Supports (SW-PBIS) in Maryland public schools for over 20 years. A fidelity data system was created to track implementation statewide and inform scale-up. Over time, the partners adjusted the fidelity measurement approach to meet various priorities and emerging needs. The current study serves as a case example of how partnerships can use data to address challenging implementation questions and make data-based decisions for quality improvement in the fidelity monitoring process. In response to practitioner interest in streamlining statewide fidelity measurement, we focused on measure distinctiveness and practical meaningfulness for two implementation fidelity tools: the Tiered Fidelity Inventory (TFI) and Implementation Phases Inventory (IPI). We identified distinct and overlapping conceptual aspects of the measures. We then examined the extent to which achieving recommended threshold scores (i.e., 70% and 83.3% on the TFI; Algozzine et al., 2014 and 80% on the IPI; Bradshaw et al., 2009a) was associated with student academic (i.e., English, math) and behavioral (i.e., suspension, truancy) outcomes. We analyzed spring 2019 TFI data from 335 schools (n = 219 elementary, n = 80 middle, n = 36 high) and spring 2019 IPI data from 588 schools (n = 390 elementary, n = 132 middle, n = 66 high) in all 24 districts serving diverse student bodies. Across school levels, the majority of schools met the recommended 70% TFI score and the 80% IPI score. The TFI was associated with lower truancy, while the IPI was associated with improved math scores. We present findings separately by (elementary, middle, and high) school levels. The findings highlight how the RPP used data to address a practice need related to quality improvement in implementation tracking in the statewide scale-up of PBIS.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148563266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jackelyne Garcia-Villegas, Melanie Gomez, Jennifer Schneider, Taynara Formagini, Oliva Lafuente, Borsika A Rabin, Samantha M Harden, Guadalupe X Ayala, Ross C Brownson, Elva M Arredondo
{"title":"Use of Implementation Mapping to Develop a Promotora Empowerment Training for a Faith-Based Physical Activity Program for Latinas.","authors":"Jackelyne Garcia-Villegas, Melanie Gomez, Jennifer Schneider, Taynara Formagini, Oliva Lafuente, Borsika A Rabin, Samantha M Harden, Guadalupe X Ayala, Ross C Brownson, Elva M Arredondo","doi":"10.1007/s11121-026-01949-5","DOIUrl":"10.1007/s11121-026-01949-5","url":null,"abstract":"<p><p>Physical activity (PA) interventions in faith-based organizations (FBOs) delivered by para-professionals (e.g., community health workers, promotoras) have been effective in increasing PA among participants. However, given their role within the FBO, promotoras often face implementation challenges such as limited organizational support and resources and lack of familiarity with how to change organizational procedures. Many existing promotora trainings lack professional skills development needed to address these barriers. This study developed a promotora empowerment training program to improve PA intervention implementation in FBOs and increase physical activity levels among Latina parishioners. The study used Implementation Mapping to develop a promotora empowerment training curriculum within the Faith in Action project, an evidence-based intervention designed to increase PA levels among Latina parishioners. Curriculum development included (1) conducting a needs assessment through post-intervention focus groups with Faith in Action promotoras; (2) identifying implementation outcomes and performance objectives, identifying determinants, and creating matrices of change objectives; (3) selecting theory-informed methods and implementation strategies; (4) developing implementation protocols and materials; and (5) planning for implementation evaluation. (1) Focus group findings suggest that promotoras needed additional training in advocating for resources and problem-solving barriers with FBO staff. (2) Key implementation outcomes (e.g., engaging FBO leaders), performance objectives (e.g., identifying resources), and the determinants (e.g., understanding program goals) influencing these objectives were identified. Change objectives were mapped to the corresponding performance objectives and determinants. (3) Empowerment Theory and Dialectical Behavior Therapy interpersonal skills were selected to guide the development of the training. (4) The study team focused training sessions on communication, conflict resolution, planning, problem-solving, and social media use. The training will be delivered by a promotora coordinator in Spanish. (5) Implementation outcomes will be evaluated by examining program fidelity and participant engagement. This study offers a roadmap for development of future promotora trainings and can inform the extent to which the additional promotora training leads to successful implementation outcomes and enhanced efficacy. This study also serves as an example of how Implementation Mapping can be utilized to improve implementation outcomes for a high-priority population in real-world settings.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13696355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148473585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Achieving Early Childhood Home Visiting's Potential Through Precision Research-Reflections on the Value of Partnerships with Government Agencies.","authors":"Anne K Duggan","doi":"10.1007/s11121-026-01948-6","DOIUrl":"https://doi.org/10.1007/s11121-026-01948-6","url":null,"abstract":"<p><p>Nearly 50 years of research confirms both the effectiveness of early childhood home visiting (HV) for expectant families and families with young children and the need to broaden and strengthen HV's benefits across diverse families and communities. But features of the prevailing research paradigm thwart achieving HV's potential as a prevention strategy. These include treating an HV model as a single intervention rather than a set of interventions; conducting single-model rather than cross-model studies; estimating average effects rather than testing for mediation and moderation; and describing HV interventions, mediators, and moderators using general and inconsistent terminology rather than a clear common language across models and studies. The field must shift to a precision research paradigm to learn how to tailor services to optimize benefits across diverse families and communities. A precision research framework focuses on HV interventions at a granular level and considers mediators and moderators of impacts on outcomes. A precision research paradigm also uses a precise common language, as in information science, to facilitate learning across HV models and across studies. Research partnerships with governmental agencies are critical for shifting to a precision paradigm. This commentary argues that, as partners, government agencies and researchers can carry out studies more consequential than those they could carry out alone. It grounds this argument in highlights of over 30 years of experience, accomplishments, and challenges of partnering with state and national government agencies in the USA. It concludes by considering what the shift to precision research will require of each stakeholder group going forward.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148473549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marlana Kohn, Paige Denison, Virginia Weihs, Anna Hughes, Deidre Daymon, Kelly Chadwick
{"title":"Cross-Sector Partnerships for Community-Based Older Adult Health Promotion Programming.","authors":"Marlana Kohn, Paige Denison, Virginia Weihs, Anna Hughes, Deidre Daymon, Kelly Chadwick","doi":"10.1007/s11121-026-01947-7","DOIUrl":"https://doi.org/10.1007/s11121-026-01947-7","url":null,"abstract":"<p><p>Most older adults reside independently in community settings. Access to information, programs and services to help older adults maintain their independence is very important. However, these resources are not always available or accessible to older adults, particularly those with limited financial resources, barriers to transportation, or health conditions that impact engagement or participation in community settings. King County, Washington (the greater Seattle area) supports a wide range of human services programs funded through a voter-approved property tax levy, the Veterans, Seniors and Human Services Levy. A portion of the Levy specifically funds programs, services and resources for older adults. The Senior Health Promotion investment strategy focused on delivering health promotion programs, prioritizing communities experiencing health disparities. This investment strategy had two parts: program funding to community-based organizations to deliver health promotion programming directly to their communities, and program support funding to an entity to provide implementation support and technical assistance to program awardees. Objectives for the investment included increasing access and reach of health promotion programs, delivering culturally-relevant programs in diverse communities, and offering program implementation support. Using the RE-AIM framework, we present an observational program evaluation summarizing program delivery and implementation capacity among community-based organization program awardees, and how a government-community-academic partnership contributed to reaching the investment objectives.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148449802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jillian C Strayhorn, Phuc Vu, Ruoxiang Zheng, Alex Dahlen
{"title":"Power Calculation in 2<sup>k</sup> Factorial Optimization Trials: An Interactive Web Application, with Investigation of Robustness for Binary Outcome Variables.","authors":"Jillian C Strayhorn, Phuc Vu, Ruoxiang Zheng, Alex Dahlen","doi":"10.1007/s11121-026-01943-x","DOIUrl":"https://doi.org/10.1007/s11121-026-01943-x","url":null,"abstract":"<p><p>For 2<sup>k</sup> factorial optimization trials with continuous outcomes, the standard approach to power calculation for a given component main effect involves a two-arm approximation in which the potential contributions of other component main and/or interaction effects are ignored. We assess whether an analogous approximation can apply to trials with binary outcomes. We extend prior Monte Carlo simulation work to the binary outcome context, simulating 2<sup>k</sup> factorial optimization trials that vary in their design elements (sample sizes, randomization strategies, ICCs, and so on). We compare the empirical (observed) power to the power under the two-arm approximation. For factorial optimization trials that target binary outcomes and use independent randomization, the two-arm approximation performs well. Under within-cluster randomization, the approximation performs well at lower ICC (< 10%); the risk of overestimating power grows as ICC increases. Under between-cluster randomization, we find larger discrepancies between observed and approximated power, particularly with larger ICC and smaller cluster counts; notably, standard power formulas are already known to overestimate statistical power under such conditions, even in standard two-arm trial contexts. Investigators sizing 2<sup>k</sup> factorial optimization trials with binary outcomes (or continuous) generally do not need to explore every combination of potential main effects and interactions; the two-arm approximation is often sufficient. Our freely accessible interactive web application provides scaffolding for sizing 2<sup>k</sup> factorial optimization trials that target either continuous or binary outcomes; for trials that meet certain clustering and ICC specifications, the application presents warnings.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148425594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
John W Toumbourou, Amber Osborn, Jaye Varcoe, Rachel Smith, Elizabeth Doery, Peter Kremer, Charles Abraham, Michelle Benstead, Kerri Coomber, Bosco Rowland
{"title":"Design and Feasibility Trial of Interventions to Reduce Young Adult Alcohol Use with Communities That Care Coalitions.","authors":"John W Toumbourou, Amber Osborn, Jaye Varcoe, Rachel Smith, Elizabeth Doery, Peter Kremer, Charles Abraham, Michelle Benstead, Kerri Coomber, Bosco Rowland","doi":"10.1007/s11121-026-01950-y","DOIUrl":"https://doi.org/10.1007/s11121-026-01950-y","url":null,"abstract":"<p><p>Community interventions offer promise for reducing alcohol and drug use in young adulthood (age 18 to 29). This study aims to pilot three intervention components in three municipalities in Victoria, Australia participating in the Communities That Care process. The study methods include the following: (1) In 2017, a screening and brief intervention message campaign was disseminated using brochures and posters across youth serving organisations (e.g., surf shops) in the regional city of Warrnambool. A randomised waitlist trial evaluated pre- and post-campaign effects on staff (15 organisations, 30 staff) confidence and screening and brief intervention behaviour. (2) From 2017 to 2019, brochures and posters were revised from Intervention 1 and scaled up through 102 organisations and an online campaign in the municipalities of Warrnambool, Geelong, and Cardinia. (3) Intoxicated patron sales monitoring was initiated in 2019 in 12 alcohol sales venues (bars) in Geelong to examine the effect of feedback letters. (4) Community trends in youth alcohol-related hospitalisation rates were monitored. The study results include the following: (1) The Warrnambool campaign was associated with significant increases in staff confidence (effect size [ES] difference 0.8 standard deviation units), and non-significant increases in staff behaviour (ES = 0.4). (2) 4500 brochures were distributed and the online campaign had 33,184 views. (3) On average, 92% of 12 alcohol outlets sold to intoxicated patrons at the first survey with a non-significant reduction to 83% after feedback (ES = 0.4). (4) Alcohol-related hospitalisation rates for the 18 to 29 age group decreased 15.1% across the target municipalities from 2016/17 to 2019/20, while state trends increased by 1.5%. Findings provide promising design features and effect sizes warranting more rigorous community trials.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148392233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tutorial: Using Random Forest Analysis to Identify Auxiliary Variables of Missing Data.","authors":"Stefany Coxe, Amanda N Baraldi, Timothy Hayes","doi":"10.1007/s11121-026-01940-0","DOIUrl":"https://doi.org/10.1007/s11121-026-01940-0","url":null,"abstract":"<p><p>Missing data is a pervasive problem in research; prevention science is particularly vulnerable due to the study designs used and types of data collected. Recommended approaches to address missing data include full information maximum likelihood estimation and multiple imputation, both of which rely on identification of auxiliary variables related to missingness. The methodological literature recommends including as many potential auxiliary variables as possible, but in practice, that is often infeasible and a researcher must select a more limited number. Prior studies have shown that traditional methods for identifying auxiliary variables do not perform well when missingness follows a nonlinear functional form, but machine learning methods such as random forest analysis (RFA) perform well at successfully identifying correlates of missingness across a variety of missing at random patterns. RFA models can also provide measures of variable importance, allowing researchers to prioritize inclusion of the most relevant variables. Methods like RFA are less familiar to prevention researchers, which serves as an impediment for researchers to use RFA to identify auxiliary variables. This paper provides a tutorial to use RFA to identify correlates of missingness using a real data sample of <math><mi>n</mi></math> = 215 participants with more than 100 variables measuring demographics, personality, and psychopathology. The tutorial demonstrates how to run an RFA (including using measures of variable importance to select the variables most related to missingness) and how to incorporate the selected auxiliary variables into an analysis.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148383048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arin M Connell, Bridget Quinn, Phuonguyen V Chu, Allison Caruthers, Anne Marie Mauricio, Elizabeth Stormshak
{"title":"A family-centered digital intervention for parents of at-risk middle-school students.","authors":"Arin M Connell, Bridget Quinn, Phuonguyen V Chu, Allison Caruthers, Anne Marie Mauricio, Elizabeth Stormshak","doi":"10.1007/s11121-026-01946-8","DOIUrl":"10.1007/s11121-026-01946-8","url":null,"abstract":"<p><p>This study examined the Family Check-Up Online (FCU-O), which combines app-based parenting support combined with telehealth coaching, to address parent and youth functioning in the wake of the COVID-19 pandemic. Research since the pandemic has highlighted long-term consequences for parents and youth (including emotional and behavioral difficulties along with long-term learning loss), as well as limitations to available supports. The FCU-O was designed to increase access and reach of such supports in order to promote effective parenting and improvements in youth emotional and behavioral functioning. The current randomized trial examined parent and youth outcomes at baseline, 3-month, and 6-month follow-up assessments among families randomly assigned to the FCU-O (N = 142) or a no-treatment control condition (N = 139). Receipt of FCU-O was associated with significant improvements in parenting skills (greater proactive parenting, limit setting, and warmth, as well as reductions in negative parenting) and perceptions of parenting (including parenting confidence and reduced parenting stress), although the pattern of results was complex with several effects (perceived stress, limit setting, negative parenting, and parenting competence) only observed in post hoc analyses of within-group changes. Significant direct effects of the FCU-O on youth emotional or behavioral problems were not observed, although indirect effects of the FCU-O on youth conduct problems were observed at 6 months, via improvements in parents' sense of competence at 3 months. Results offer further support for the FCU-O as an accessible intervention for families facing ongoing challenges, including those associated with the COVID-19 pandemic.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148363319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rumaya Juhari, Farah Zeehan Mohd Nadzri, Zainal Madon, Muslihah Hasbullah, Frances Gardner, Hal Cooper, Durgesh Rajandiran, Laurie Markle, Nurhilmiyani Ismail, Chiara Facciola, David Stern, Zairudin Mat Zuini, Hairil Fadzly Md Akir, Saskia Blume, Jamie M Lachman
{"title":"Building Impact Through Government Partnerships: the Naungan Kasih Positive Parenting Program in Malaysia.","authors":"Rumaya Juhari, Farah Zeehan Mohd Nadzri, Zainal Madon, Muslihah Hasbullah, Frances Gardner, Hal Cooper, Durgesh Rajandiran, Laurie Markle, Nurhilmiyani Ismail, Chiara Facciola, David Stern, Zairudin Mat Zuini, Hairil Fadzly Md Akir, Saskia Blume, Jamie M Lachman","doi":"10.1007/s11121-026-01935-x","DOIUrl":"https://doi.org/10.1007/s11121-026-01935-x","url":null,"abstract":"<p><p>Naungan Kasih (NK) is a hybrid positive parenting program for parents and caregivers of preschool-aged children that blends digital, in-person, and remote support to strengthen parenting skills and promote children's healthy development. This paper documents the development, evaluation, and scaling pathways in which academic institutions, Malaysian government agencies, and international organizations collaborated as a consortium to translate evidence-based parenting principles into a locally feasible, culturally responsive delivery model. NK progressed through a three-phase implementation journey. It began by strengthening and standardizing in-person parenting support in response to a government request, then shifted to digital delivery during COVID-19 through ParentText and ParentChat, and is currently focused on embedding hybrid NK within the government preschool platform to support scalable, sustainable delivery. The development process involved formative assessment, co-design, and pilot testing of the program. NK is being tested through a cluster-randomized controlled trial with effectiveness outcomes including caregiver parenting practices, mental health, and relationship quality, as well as child developmental and behavioral outcomes, alongside process measures of reach and engagement. The scaling pathway leverages evaluation outputs by building a train-the-trainer system, supervision and quality-assurance mechanisms, standardized monitoring for continuous improvement, a technology-transfer process, and modular materials that can be adapted across local contexts without diluting core components. The NK collaboration framework demonstrates how a multi-stakeholder partnership can produce an evidence-informed, implementation-ready intervention, while simultaneously establishing the operational infrastructure required for rigorous evaluation and scalable delivery within government agencies.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148309934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}