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Ghahramani S, Larson SC, L'Hotta AJ, Harris KM, Lipsey K, Geng EH, Juckett LA, Hoyt CR. Education strategies are the most commonly used in pediatric rehabilitation implementation research: a scoping review. Implement Sci Commun 2025; 6:5. [PMID: 39773757 PMCID: PMC11706032 DOI: 10.1186/s43058-024-00690-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 12/21/2024] [Indexed: 01/11/2025] Open
Abstract
BACKGROUND Approximately one in six children has a disability, and effective, evidence-based rehabilitation can ameliorate the impact of these conditions over the lifespan. However, implementing interventions in real-world settings remains a challenge. This scoping review aimed to summarize the characteristics, implementation strategies, and outcomes of implementation studies in pediatric rehabilitation. METHODS A comprehensive search was conducted in PubMed/MEDLINE, EMBASE, CINAHL, SCOPUS, and Web of Science from the database inception to December 2, 2022. Studies testing implementation strategies in pediatric rehabilitation interventions were included. Data extracted included study characteristics (e.g., country, intervention type, field of rehabilitation), implementation strategies characterized using the Expert Recommendations for Implementing Change taxonomy, and outcomes based on the Implementation Outcomes Framework. RESULTS Of the 11,740 studies identified, 44 met the inclusion criteria. Most studies were conducted in the United States (n = 15, 34%) or Canada (n = 10, 23%) and used a mixed-methods design (n = 13, 30%). Interventions primarily targeted motor skills (n = 19, 43%) and were conducted in outpatient settings (n = 14, 32%) or homes (n = 11, 23%). The most commonly used implementation strategies were "train and educate key informant" (n = 21, 48%) and "use evaluative/iterative strategies" (n = 19, 43%). Feasibility (n = 19, 43%) and acceptability (n = 16, 36%) were the most frequently targeted implementation outcomes. CONCLUSIONS Reporting implementation strategies and outcomes in pediatric rehabilitation studies is limited and highly variable. Most strategies focused on developing and sharing educational materials, while administrative and systems-level interventions were largely absent. Standardized documentation of implementation strategies and outcomes could advance the field's understanding of the effective development of interventions designed for implementation, encouraging faster uptake of effective interventions.
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Affiliation(s)
- Sahar Ghahramani
- Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA.
| | - Sophia C Larson
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
| | - Allison J L'Hotta
- School of Medicine, Department of Physical Medicine and Rehabilitation, University of Colorado, Aurora, CO, USA
| | - Kelly M Harris
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO, USA
- Department of Education, Washington University in St. Louis, St. Louis, MO, USA
| | - Kim Lipsey
- Washington University School of Medicine, Becker Medical Library, St. Louis, MO, USA
| | - Elvin H Geng
- Department of Medicine, Division of Infectious Disease, Washington University School of Medicine, St. Louis, MO, USA
| | - Lisa A Juckett
- School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA
| | - Catherine R Hoyt
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
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Rognstad K, Engell T, Fjermestad K, Wentzel-Larsen T, Kjøbli J. Process and Implementation Elements of Measurement Feedback Systems: A Systematic Review. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2025; 52:74-87. [PMID: 38153585 PMCID: PMC11703878 DOI: 10.1007/s10488-023-01325-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/18/2023] [Indexed: 12/29/2023]
Abstract
Measurement feedback systems (MFS) can help guide treatment and improve clinical outcomes. Studies of MFS are heterogeneous both in execution and results, and the effects of MFS seem restricted by limited attention to process and implementation elements and by limited adoption by health professionals. The current systematic review mapped the use of process and implementation elements in MFS studies. An overview of therapists' use of and attitudes toward MFS is provided. Three-level meta-analyses were used to test theoretically informed process and implementation elements as moderators of the effects of MFS. Hypotheses and general propositions from Clinical Performance Feedback Intervention Theory (CP-FIT) were used to organize the elements of the studies and were used as moderator variables. Previous studies on MFS interventions have had a limited focus on implementation efforts and process elements that may increase the effects of MFS and their use among therapists. Efforts have sparsely been made to reduce barriers to MFS use, and several studies have reported limited engagement with MFS among therapists. Therapists' attitudes toward MFS, feedback, or standardized measures were heterogeneously reported, making data synthesis challenging. Identified process and implementation elements were not significantly associated with effect sizes in the studies and the results did not support the propositions of CP-FIT. The lack of statistically significant associations may be due to limited reporting of details about process and implementation aspects. More research designed to test hypotheses regarding process and implementation elements is needed to improve the use and effects of MFS. Future studies should aspire to report findings in a manner that allows for an understanding of the implementation process and therapists' adoption of these systems.
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Affiliation(s)
- Kristian Rognstad
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway.
- Department of Psychology, University of Oslo, Oslo, Norway.
| | - Thomas Engell
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
| | | | - Tore Wentzel-Larsen
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
- Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - John Kjøbli
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
- Department of Education, University of Oslo, Oslo, Norway
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Oddo LE, McLeod BD, Sutherland KS, Chow JC, Ledford JR, Li GW. A Novel Approach to Research Synthesis with the Distillation and Matching Model: Application to the Prevention of Youth Social, Emotional, and Behavioral Problems. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2025; 26:69-79. [PMID: 39777638 PMCID: PMC11811484 DOI: 10.1007/s11121-025-01766-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/30/2024] [Indexed: 01/11/2025]
Abstract
It is difficult for consumers to access the evidence base for prevention programs to determine which models or practices have the strongest empirical support for improving youth social, emotional, and behavioral (SEB) outcomes within their specific service contexts. Researchers can address this evidence-to-practice gap through innovations in research synthesis. The Distillation and Matching Model (Chorpita et al., 2005), an approach to research synthesis developed for the mental health field, is designed to identify what works for whom and under what conditions via three steps. In this paper, we describe the Distillation and Matching Model and suggest that applying this approach to the prevention literature for youth SEB problems may help bridge the evidence-to-practice gap. The first step, distillation, involves identifying "practice elements," defined as the goal or general principle guiding a discrete practice (e.g., praise) targeting a specific domain of SEB outcomes. This step produces a standard set of terms for the individual practices used across the literature that are studied in isolation and comprise comprehensive intervention models. The second step involves identifying "common elements," or the practice elements found in studies that meet standards of methodological rigor and report significant improvements in youth SEB outcomes. The third step, "matching," is a method for matching common element profiles (combinations of common elements) to intervention and personal characteristics to identify what combinations of common elements work for whom and under what conditions. The Distillation and Matching Model can provide a method for researchers to generate actionable information about common elements that can be used to develop and evaluate tailored interventions.
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Affiliation(s)
- Lauren E Oddo
- Department of Psychology, Virginia Commonwealth University, 806 West Franklin Street, PO Box 842018, Richmond, VA, 23284-2018, USA
| | - Bryce D McLeod
- Department of Psychology, Virginia Commonwealth University, 806 West Franklin Street, PO Box 842018, Richmond, VA, 23284-2018, USA.
| | | | - Jason C Chow
- Department of Special Education, Vanderbilt University, Nashville, USA
| | | | - Grace W Li
- Department of Psychology, Virginia Commonwealth University, 806 West Franklin Street, PO Box 842018, Richmond, VA, 23284-2018, USA
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Ashcraft LE, Goodrich DE, Hero J, Phares A, Bachrach RL, Quinn DA, Qureshi N, Ernecoff NC, Lederer LG, Scheunemann LP, Rogal SS, Chinman MJ. A systematic review of experimentally tested implementation strategies across health and human service settings: evidence from 2010-2022. Implement Sci 2024; 19:43. [PMID: 38915102 PMCID: PMC11194895 DOI: 10.1186/s13012-024-01369-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 05/27/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND Studies of implementation strategies range in rigor, design, and evaluated outcomes, presenting interpretation challenges for practitioners and researchers. This systematic review aimed to describe the body of research evidence testing implementation strategies across diverse settings and domains, using the Expert Recommendations for Implementing Change (ERIC) taxonomy to classify strategies and the Reach Effectiveness Adoption Implementation and Maintenance (RE-AIM) framework to classify outcomes. METHODS We conducted a systematic review of studies examining implementation strategies from 2010-2022 and registered with PROSPERO (CRD42021235592). We searched databases using terms "implementation strategy", "intervention", "bundle", "support", and their variants. We also solicited study recommendations from implementation science experts and mined existing systematic reviews. We included studies that quantitatively assessed the impact of at least one implementation strategy to improve health or health care using an outcome that could be mapped to the five evaluation dimensions of RE-AIM. Only studies meeting prespecified methodologic standards were included. We described the characteristics of studies and frequency of implementation strategy use across study arms. We also examined common strategy pairings and cooccurrence with significant outcomes. FINDINGS Our search resulted in 16,605 studies; 129 met inclusion criteria. Studies tested an average of 6.73 strategies (0-20 range). The most assessed outcomes were Effectiveness (n=82; 64%) and Implementation (n=73; 56%). The implementation strategies most frequently occurring in the experimental arm were Distribute Educational Materials (n=99), Conduct Educational Meetings (n=96), Audit and Provide Feedback (n=76), and External Facilitation (n=59). These strategies were often used in combination. Nineteen implementation strategies were frequently tested and associated with significantly improved outcomes. However, many strategies were not tested sufficiently to draw conclusions. CONCLUSION This review of 129 methodologically rigorous studies built upon prior implementation science data syntheses to identify implementation strategies that had been experimentally tested and summarized their impact on outcomes across diverse outcomes and clinical settings. We present recommendations for improving future similar efforts.
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Affiliation(s)
- Laura Ellen Ashcraft
- Center for Health Equity Research and Promotion, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - David E Goodrich
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Clinical & Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Angela Phares
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Rachel L Bachrach
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Deirdre A Quinn
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | - Lisa G Lederer
- Clinical & Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Leslie Page Scheunemann
- Division of Geriatric Medicine, University of Pittsburgh, Department of Medicine, Pittsburgh, PA, USA
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh, Department of Medicine, Pittsburgh, PA, USA
| | - Shari S Rogal
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Departments of Medicine and Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew J Chinman
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- RAND Corporation, Pittsburgh, PA, USA
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Smith JL, Ritchie MJ, Kim B, Miller CJ, Chinman MJ, Kelly PA, Landes SJ, Kirchner JE. Getting to Fidelity: Consensus Development Process to Identify Core Activities of Implementation Facilitation. GLOBAL IMPLEMENTATION RESEARCH AND APPLICATIONS 2024; 2024:10.1007/s43477-024-00119-5. [PMID: 38765294 PMCID: PMC11100021 DOI: 10.1007/s43477-024-00119-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/16/2024] [Indexed: 05/22/2024]
Abstract
Transferring successful implementation strategies from research to practice requires approaches for assessing fidelity to the strategy's core components. Implementation facilitation (IF) is a strategy involving an interactive process of problem-solving, enabling, and supporting individuals in efforts to implement clinical innovations that occurs in the context of a recognized need for improvement and supportive interpersonal relationships. Because IF is a dynamic strategy involving numerous activities, our objective was to conduct a rigorous consensus development process to identify core activities for monitoring fidelity to IF when applied in clinical settings. We first conducted a scoping literature review to identify the range of activities used when IF has been applied in clinical settings, searching multiple citation databases for English-language articles including "facilitation" or other commonly-used terms for the strategy published from 1996-2015. Through multi-stage screening, 135 articles (from 94 studies) were identified for data extraction on IF activities, frequency with which IF activities were identified as 'core' by study authors, and study outcomes. From the literature review, we identified 32 distinct IF activities and developed definitions/examples for each. Next, we conducted a 3-stage, modified-Delphi expert panel consensus development process to identify core IF activities across three implementation phases (i.e., Pre-Implementation, Implementation, Sustainment). The expert panel identified 8 core activities for the Pre-Implementation Phase, 8 core activities for the Implementation Phase, and 4 core activities for the Sustainment Phase. This work provides an important foundation for developing measures/tools to assess use of core IF activities to ensure the strategy is delivered with fidelity.
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Affiliation(s)
- Jeffrey L. Smith
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI) & HSR&D Center for Mental Healthcare & Outcomes Research (CeMHOR), Central Arkansas Veterans Healthcare System, 900 S. Shackelford Road, Fifth Floor, Little Rock, AR 72211, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham Street, #755, Little Rock, AR 72205, USA
| | - Mona J. Ritchie
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI) & HSR&D Center for Mental Healthcare & Outcomes Research (CeMHOR), Central Arkansas Veterans Healthcare System, 900 S. Shackelford Road, Fifth Floor, Little Rock, AR 72211, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham Street, #755, Little Rock, AR 72205, USA
| | - Bo Kim
- VA Behavioral Health QUERI & HSR&D Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Christopher J. Miller
- VA Behavioral Health QUERI & HSR&D Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Matthew J. Chinman
- VA Pittsburgh Healthcare System, Research Office Building (151R), University Drive C, Pittsburgh, PA 15240, USA
| | - P. Adam Kelly
- Southeast Louisiana Veterans Healthcare System, 2400 Canal Street (11F), New Orleans, LA 70119, USA
| | - Sara J. Landes
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI) & HSR&D Center for Mental Healthcare & Outcomes Research (CeMHOR), Central Arkansas Veterans Healthcare System, 900 S. Shackelford Road, Fifth Floor, Little Rock, AR 72211, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham Street, #755, Little Rock, AR 72205, USA
| | - JoAnn E. Kirchner
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI) & HSR&D Center for Mental Healthcare & Outcomes Research (CeMHOR), Central Arkansas Veterans Healthcare System, 900 S. Shackelford Road, Fifth Floor, Little Rock, AR 72211, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham Street, #755, Little Rock, AR 72205, USA
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Terrana A, Viglione C, Rhee K, Rabin B, Godino J, Aarons GA, Chapman J, Melendrez B, Holguin M, Osorio L, Gidwani P, Juarez Nunez C, Firestein G, Hekler E. The core functions and forms paradigm throughout EPIS: designing and implementing an evidence-based practice with function fidelity. FRONTIERS IN HEALTH SERVICES 2024; 3:1281690. [PMID: 38292916 PMCID: PMC10826509 DOI: 10.3389/frhs.2023.1281690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 12/21/2023] [Indexed: 02/01/2024]
Abstract
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.
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Affiliation(s)
- Alec Terrana
- School of Medicine, University of California San Diego, San Diego, CA, United States
| | - Clare Viglione
- Altman Clinical and Translational Research Institute, School of Medicine, University of California, San Diego, CA, United States
| | - Kyung Rhee
- School of Medicine, University of California San Diego, San Diego, CA, United States
| | - Borsika Rabin
- Altman Clinical and Translational Research Institute, School of Medicine, University of California, San Diego, CA, United States
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, United States
| | - Job Godino
- Family Health Centers of San Diego, San Diego, CA, United States
| | - Gregory A. Aarons
- Altman Clinical and Translational Research Institute, School of Medicine, University of California, San Diego, CA, United States
| | - Jessica Chapman
- Altman Clinical and Translational Research Institute, School of Medicine, University of California, San Diego, CA, United States
| | - Blanca Melendrez
- Altman Clinical and Translational Research Institute, School of Medicine, University of California, San Diego, CA, United States
| | | | - Liliana Osorio
- Altman Clinical and Translational Research Institute, School of Medicine, University of California, San Diego, CA, United States
| | | | | | - Gary Firestein
- Altman Clinical and Translational Research Institute, School of Medicine, University of California, San Diego, CA, United States
| | - Eric Hekler
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, United States
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Sagatun Å, Engell T, Brekke M, Sjølie H, Ekornes SM, Waldum-Grevboe KS, Pape K, Kvaløy K, Jeneson A, Trøan AS, Askeland AL, Stien L, Holen S. Guideline evaluation and implementation mechanisms in school health services (GuideMe): protocol for a hybrid randomized factorial trial. BMC Health Serv Res 2023; 23:1259. [PMID: 37968693 PMCID: PMC10652429 DOI: 10.1186/s12913-023-10179-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 10/18/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Norwegian school health services received a national best-practice guideline in 2017. To promote healthy life skills and identify adolescents needing support, the guideline includes strong recommendations for individual consultations with all 8th graders and increased collaboration with schools. To help implement the recommendations, a blended implementation strategy (SchoolHealth) was co-created with school nurses, students, and stakeholders. SchoolHealth consists of three implementation elements: Digital dialog and administration tool (audit and feedback +), Dialog support (external consultation), and Collaboration materials (targeted dissemination). This hybrid study will test the main and combined effects of the elements on guideline fidelity and effectiveness. METHODS The GuideMe study is a factorial cluster randomized controlled trial examining SchoolHealth's effectiveness on guideline fidelity and guideline effectiveness goals. Forty Norwegian secondary schools will be randomized to eight different combinations of the elements in SchoolHealth. Participants will include school nurses and school personnel from these schools, and 8th grade students (n = 1200). Primary outcomes are school nurses' fidelity to the guidelines and student's ability to cope with their life (i.e., health literacy, positive health behaviors and self-efficacy). Quantitative methods will be used to test effects and mechanisms, while mixed- and qualitative methods will be used to explore mechanisms, experiences, and other phenomena in depth. Participants will complete digital questionnaires at the start and end of the schoolyear, and after the consultation during the schoolyear. The study will run in two waves, each lasting for one school year. The multifactorial design allows testing of interactions and main effects due to equal distribution of all factors within each main effect. Sustainment and scale-up of optimized SchoolHealth elements using national infrastructure are simultaneously prepared. DISCUSSION The study will investigate possible effects of the implementation elements in isolation and in combination, and hypothesized implementation mechanisms. In-depth study of user experiences will inform improvements to elements in SchoolHealth. The results will yield causal knowledge about implementation strategies and the mechanisms through which they assert effects. Mixed-methods will provide insights into how and when the elements work. Optimizing guideline implementation elements can support adolescents in a crucial life phase. TRAIL REGISTRATION ISRCTN24173836. Registration date 8 August 2022.
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Affiliation(s)
- Åse Sagatun
- Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP/PILAR), Oslo, Norway.
- VID Specialized University (VID), Oslo, Norway.
| | - Thomas Engell
- Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP/PILAR), Oslo, Norway
| | - Malene Brekke
- Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP/PILAR), Oslo, Norway
- VID Specialized University (VID), Oslo, Norway
| | - Hege Sjølie
- VID Specialized University (VID), Oslo, Norway
| | - Stine M Ekornes
- Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU Central Norway), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | | | - Kristine Pape
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kirsti Kvaløy
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Annette Jeneson
- Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP/PILAR), Oslo, Norway
| | - Anna Stigum Trøan
- Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP/PILAR), Oslo, Norway
| | - Anne Liv Askeland
- Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP/PILAR), Oslo, Norway
| | - Line Stien
- Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU Central Norway), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Solveig Holen
- Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP/PILAR), Oslo, Norway
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