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Qualitative/Quantitative:
Type of Instrument:
Number of Items:
19Subscale Information:
The Problem (1)
The Program/Intervention (1)
Strategic/Political Context (2)
Evidence of Effectiveness (1)
Intervention Costs (1)
Fidelity and Adaptation (3)
Delivery Setting and Workforce (4)
Implementation Infrastructure (1)
Sustainability (3)Language Availability:
Brief Description:
The Intervention Scalability Assessment Tool (ISAT) was developed to support policy-makers and practitioners to make systematic assessments of the suitability of health interventions for scale-up. Citing Literature - Development/Original:
Milat, A., Lee, K., Conte, K., Grunseit, A., Wolfenden, L., van Nassau, F., Orr, N., Sreeram, P., & Bauman, A. (2020). Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers. Health research policy and systems, 18(1), 1. https://doi.org/10.1186/s12961-019-0494-2. PMID: 31900230; PMCID: PMC6942323.Citing Literature - Empirical Use/Application:
Lee, K., Milat, A., Grunseit, A., Conte, K., Wolfenden, L., & Bauman, A. (2020). The Intervention Scalability Assessment Tool: a pilot study assessing five interventions for scalability. Public health research & practice, 30(2), 3022011. https://doi.org/10.17061/phrp3022011. PMID: 32601656.
Grady, A., Jackson, J., Wolfenden, L., Lum, M., & Yoong, S. L. (2023). Assessing the scalability of healthy eating interventions within the early childhood education and care setting: secondary analysis of a Cochrane systematic review. Public health nutrition, 26(12), 3211–3229. https://doi.org/10.1017/S1368980023002550. PMID: 37990443 PMCID: PMC10755435.Website:
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Version:
10/19/24Related Instruments:
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Intervention Scalability Assessment Tool (ISAT)
Qualitative/Quantitative:
The assessment instrument uses quantitative and/or qualitative data
- Quantitative
Type of Instrument:
The type of the assessment instrument
- Survey
Number of Items:
Number of items in the assessment instrument
19Subscale Information:
Names of each of the subscales and the number of items for each of the subscales
The Problem (1)The Program/Intervention (1)
Strategic/Political Context (2)
Evidence of Effectiveness (1)
Intervention Costs (1)
Fidelity and Adaptation (3)
Delivery Setting and Workforce (4)
Implementation Infrastructure (1)
Sustainability (3)
Language Availability:
Language(s) in which the assessment instrument is available
- English
- French
Brief Description:
Brief summary description of assessment instrument
The Intervention Scalability Assessment Tool (ISAT) was developed to support policy-makers and practitioners to make systematic assessments of the suitability of health interventions for scale-up. Citing Literature - Development/Original:
Reference for publication describing the development of the assessment instrument
Milat, A., Lee, K., Conte, K., Grunseit, A., Wolfenden, L., van Nassau, F., Orr, N., Sreeram, P., & Bauman, A. (2020). Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers. Health research policy and systems, 18(1), 1. https://doi.org/10.1186/s12961-019-0494-2. PMID: 31900230; PMCID: PMC6942323.Citing Literature - Empirical Use/Application:
Reference for publications on the application of the assessment instrument
Lee, K., Milat, A., Grunseit, A., Conte, K., Wolfenden, L., & Bauman, A. (2020). The Intervention Scalability Assessment Tool: a pilot study assessing five interventions for scalability. Public health research & practice, 30(2), 3022011. https://doi.org/10.17061/phrp3022011. PMID: 32601656.Grady, A., Jackson, J., Wolfenden, L., Lum, M., & Yoong, S. L. (2023). Assessing the scalability of healthy eating interventions within the early childhood education and care setting: secondary analysis of a Cochrane systematic review. Public health nutrition, 26(12), 3211–3229. https://doi.org/10.1017/S1368980023002550. PMID: 37990443 PMCID: PMC10755435.
Website:
Website providing access to and/or describing the assessment instrument
Not FoundAttachments:
Related files uploaded (instrument if directly available) including descriptions for each
Version:
Number/name of the most recent version of the assessment instrument
10/19/24Related Instruments:
Indicate if assessment instrument is related to another instrument in the repository.
Not FoundImplementation Science Considerations
- ACE Star Model of Knowledge Transformation
- Active Implementation Framework
- Adaptation in dissemination and implementation science
- Adherence Optimization Framework
- Advancing health disparities research within the health care system
- Availability, Responsiveness & Continuity (ARC): An Organizational & Community Intervention Model
- Behaviour Change Wheel
- Blueprint for Dissemination
- CDC DHAP's Research-to-Practice Framework
- Canadian Institutes of Health Research Knowledge Translation within the Research Cycle Model or Knowledge Action Model
- Choosing Wisely Deimplementation Framework
- Collaborative Model for Knowledge Translation Between Research and Practice Settings
- Community Based Participatory Research (CBPR)
- Conceptual Framework For The Comparative Analysis of Policy Change
- Conceptual Framework for Research Knowledge Transfer and Utilization
- Conceptual Model of Implementation Research
- Conceptual Model of Knowledge Utilization
- Conceptualizing Dissemination Research and Activity: Canadian Heart Health Initiative
- Conduct and Utilization of Research in Nursing (CURN)
- Consolidated Framework for Implementation Research (CFIR)
- Consolidated Framework for Implementation Research (CFIR) 2.0
- Context and Implementation of Complex Interventions (CICI) framework
- Convergent Diffusion and Social Marketing Approach for Dissemination
- Coordinated Implementation Model
- Critical Realism & the Arts Research Utilization Model (CRARIUM)
- Davis' Pathman-PRECEED Model
- Dissemination and Implementation Framework for an Early Childhood Obesity Prevention Program
- Dissemination of Evidence-based Interventions to Prevent Obesity
- Dynamic Sustainability Framework
- EMTReK - Evidence-based Model for the Transfer and Exchange of Research Knowledge
- EQ-DI Framework
- Effective Dissemination Strategies
- Evidence Integration Triangle
- Exploration, Preparation, Implementation, Sustainment (EPIS) model (Conceptual Model of Evidence-based Practice Implementation in Public Service Sectors)
- Facilitating Adoption of Best Practices (FAB) Model
- Framework for Analyzing Adoption of Complex Health Innovations
- Framework for Dissemination of Evidence-Based Policy
- Framework for Enhancing the Value of Research for Dissemination and Implementation
- Framework for Knowledge Translation
- Framework for Spread
- Framework for the Dissemination & Utilization of Research for Health-Care Policy & Practice
- Framework for the Transfer of Patient Safety Research into Practice
- Framework of Dissemination in Health Services Intervention Research
- General theory of implementation
- Generic Implementation Framework
- Greenhalgh Diffusion of Innovations in Service Organizations
- Health Equity Implementation Framework
- Health Promotion Research Center Framework
- Health Promotion Technology Transfer Process
- Implementation Effectiveness Model
- Interacting Elements of Integrating Science, Policy, and Practice
- Interactive Systems Framework
- Intervention Mapping
- Iowa Model of Evidence-Based Practice
- Johns Hopkins Nursing Evidence-Based Practice Model and Guidelines
- Kingdon's Multiple-Streams Framework
- Knowledge Exchange Framework
- Knowledge Transfer and Exchange
- Linking Systems Framework
- Marketing and Distribution System for Public Heatlh
- Model for Improving the Dissemination of Nursing Research
- Model for Predictors of Adoption
- Organizational Theory of Innovation Implementation
- OutPatient Treatment in Ontario Services (OPTIONS) Model
- Pathways to Evidence Informed Policy
- Practical, Robust Implementation and Sustainability Model (PRISM)
- Pragmatic-Explanatory Continuum Indicator Summary 2
- Precede-Proceed Model
- Process Model of Implementation from a Policy Perspective Depicting the Process at One Policy Level
- Proctor's Implementation Outcomes
- Promoting Action on Research Implementation in Health Services (PARIHS)
- Pronovost's 4E's Process Theory
- Push-Pull Capacity Model
- RAND Model of Persuasive Communication and Diffusion of Medical Innovation
- RE-AIM 1.0 Framework
- RE-AIM 2.0/Contextually Expanded RE-AIM
- Real-World Dissemination
- Replicating Effective Programs Framework
- Six-Step Framework for International Physical Activity Dissemination
- Stetler Model of Research Utilization
- Sticky Knowledge
- Stirman framework and coding system for modifications and adaptations of evidence-based interventions
- Technology Transfer Model
- The SPIRIT Action Framework
- Theoretical Domains Framework
- Transcreation Framework for Community-engaged Behavioral Interventions to Reduce Health Disparities
- Weiner organizational readiness
- conNECT Framework
- Acceptability
- Adaptation
- Adoption
- Effectiveness
- Fidelity
- Implementation
- Implementation Cost
- Reach
- Sustainment
- Adapt and tailor to context
- Provide interactive assistance
- Use of evaluative and iterative strategies
- Develop stakeholder inter-relationships
- Pre-Implementation
- Implementation
Constructs Assessed:
Constructs assessed by the assessment instrument (linked to constructs included in the D&I models webtool)Theories, Models, Frameworks Assessed:
The D&I TMFs relevant for the assesment instrument based on constructs assessedImplementation Outcomes:
The relevance of the assessment instrument to various implementation outcomesImplementation Strategies:
The implementation strategy/ies evaluated by the assessment instrumentPhase of Implementation Process:
Phase of implementation process when the assessment instrument can be used
Intended Focus
- Implementer
- Organizational
- Community
- System
- Policy
- Researcher/Evaluator
- Clinician
- Administrator
- Employer
- System/Policy Maker
- Clinical Outpatient
- Clinical Inpatient
- Residential Care
- Community Organization
- Public Health Agency
- School
- Workplace
Levels of Data Collection:
The level(s) from which the assessment instrument collects dataIntended Priority Population:
Intended priority population from whom data are collected using the assessment instrumentIntended Priority Setting:
Intended priority setting in which the assessment instrument is usedPolicy:
Not FoundAssessment instrument is relevant to policyEquity Focus:
Not Found
Psychometric Properties
Scoring:
YesThe assessment instrument produces a composite scoreNorms:
Not FoundMeasures of central tendency and distribution for the total score are based on small, medium, large sample sizeResponsiveness:
YesThe ability of the assessment instrument to detect change over time (i.e., sensitivity to change or intervention effects).Validity:
Not FoundThe extent to which an instrument measures what it is intended to measure accurately.Reliability:
Not FoundThe extent to which results are consistent results over time, across raters, across settings, or across items intended to measure the same thing.Factor Analysis:
Not FoundA statistical method that uses the correlation between observed variables to identify common factors.
Pragmatic Properties
- Guidance to Administer
- Guidance to Analyze
- Guidance to Interpret
- Guidance for Action/Decision
- Medium: Asyncronous collection of data
- High: Observation and syncronous collection of data
- Adaptive Instrument
- Generative Outcome
Time to Administer:
Not FoundThe amount of time required to complete the assessment instrumentSecondary Data:
Not FoundCost:
FreeCost associated with access to assessment instrument (Some instruments might require login.)Literacy:
Not FoundReadability of the items reported on.Interpretation:
Not FoundExpertise needed for interpretation of data is reported.Training:
Not FoundExpertise needed to use the assessment instrument is reportedResources Required to Administer:
None/LowResources needed to administer the assessment instrument (FTE for data collector, equipment, etc.)User Guidance:
Guides are provided to support administration of assessment instrument/data collection, and/or analysis of data from the assessment instrument, and/or interpretation of data, and/or action/decision on how to use dataObtrusiveness:
Degree of intrusion the participants will experience because of the data collection when using the assessment instrument (e.g., assessment instruments that rely on use of secondary data or automated data will be less obtrusive)Interactivity:
Data collection and/or result generation involves interactive components.
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