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Qualitative/Quantitative:
Type of Instrument:
Number of Items:
11Subscale Information:
Contextual Factors Relevant for Understanding and Transporting Findings (9):
Relevant theory or participant mental models
National, state and local public policy affecting the study
Pertinent community norms and resources
Health care system organization, payment systems, IT and other support systems
Practice culture and staffing affecting PCMH uptake
Particulars of patient populations and subgroups
Relevant historical factors or recent events
The culture and motivations surrounding monitoring and evaluation
OtherLanguage Availability:
Brief Description:
This brief focuses on the importance of considering and reporting contextual factors in studies of patient-centered medical home (PCMH) models. This template could be included as an appendix to a scientific paper reporting study findings, or preferably could be used to generate a sentence for the abstract, a succinct paragraph that summarizes the important contextual factors for inclusion in the results section of the paper, and used as the basis for interpreting the meaning and transportability of the findings in the discussion section of the paper.Website:
Not FoundInstrument and/or related documentation:
Citing Literature - Development/Original:
Stange KC and Glasgow RE. Considering and Reporting Important Contextual Factors in Research on the Patient-Centered Medical Home. Rockville, MD: Agency for Healthcare Research and Quality. May 2013. ARHQ Publication No. 13-0045-EF.Citing Literature - Empirical Use/Application:
Ploeg, J., Wong, S. T., Hassani, K., Yous, M. L., Fortin, M., Kendall, C., Liddy, C., Markle-Reid, M., Petrovic, B., Dionne, E., Scott, C. M., & Wodchis, W. P. (2019). Contextual factors influencing the implementation of innovations in community-based primary health care: the experience of 12 Canadian research teams. Primary health care research & development, 20, e107. https://doi.org/10.1017/S1463423619000483. PMID: 32800024 PMCID: PMC8060818.
Tomoaia-Cotisel, A., Scammon, D. L., Waitzman, N. J., Cronholm, P. F., Halladay, J. R., Driscoll, D. L., Solberg, L. I., Hsu, C., Tai-Seale, M., Hiratsuka, V., Shih, S. C., Fetters, M. D., Wise, C. G., Alexander, J. A., Hauser, D., McMullen, C. K., Scholle, S. H., Tirodkar, M. A., Schmidt, L., … Stange, K. C. (2013). Context matters: The experience of 14 research teams in systematically reporting contextual factors important for practice change. The Annals of Family Medicine, 11(Suppl_1). https://doi.org/10.1370/afm.1549. PMID: 23690380 PMCID: PMC3707255.Version:
Not FoundRelated Instruments:
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Context Matters Reporting Template
Qualitative/Quantitative:
The assessment instrument uses quantitative and/or qualitative data
- Qualitative
Type of Instrument:
The type of the assessment instrument
- Reporting Template
Number of Items:
Number of items in the assessment instrument
11Subscale Information:
Names of each of the subscales and the number of items for each of the subscales
Contextual Factors Relevant for Understanding and Transporting Findings (9):Relevant theory or participant mental models
National, state and local public policy affecting the study
Pertinent community norms and resources
Health care system organization, payment systems, IT and other support systems
Practice culture and staffing affecting PCMH uptake
Particulars of patient populations and subgroups
Relevant historical factors or recent events
The culture and motivations surrounding monitoring and evaluation
Other
Language Availability:
Language(s) in which the assessment instrument is available
- English
Brief Description:
Brief summary description of assessment instrument
This brief focuses on the importance of considering and reporting contextual factors in studies of patient-centered medical home (PCMH) models. This template could be included as an appendix to a scientific paper reporting study findings, or preferably could be used to generate a sentence for the abstract, a succinct paragraph that summarizes the important contextual factors for inclusion in the results section of the paper, and used as the basis for interpreting the meaning and transportability of the findings in the discussion section of the paper.Website:
Website providing access to and/or describing the assessment instrument
Not FoundInstrument and/or related documentation:
Related files uploaded (instrument if directly available) including descriptions for each
Citing Literature - Development/Original:
Reference for publication describing the development of the assessment instrument
Stange KC and Glasgow RE. Considering and Reporting Important Contextual Factors in Research on the Patient-Centered Medical Home. Rockville, MD: Agency for Healthcare Research and Quality. May 2013. ARHQ Publication No. 13-0045-EF.Citing Literature - Empirical Use/Application:
Reference for publications on the application of the assessment instrument
Ploeg, J., Wong, S. T., Hassani, K., Yous, M. L., Fortin, M., Kendall, C., Liddy, C., Markle-Reid, M., Petrovic, B., Dionne, E., Scott, C. M., & Wodchis, W. P. (2019). Contextual factors influencing the implementation of innovations in community-based primary health care: the experience of 12 Canadian research teams. Primary health care research & development, 20, e107. https://doi.org/10.1017/S1463423619000483. PMID: 32800024 PMCID: PMC8060818.Tomoaia-Cotisel, A., Scammon, D. L., Waitzman, N. J., Cronholm, P. F., Halladay, J. R., Driscoll, D. L., Solberg, L. I., Hsu, C., Tai-Seale, M., Hiratsuka, V., Shih, S. C., Fetters, M. D., Wise, C. G., Alexander, J. A., Hauser, D., McMullen, C. K., Scholle, S. H., Tirodkar, M. A., Schmidt, L., … Stange, K. C. (2013). Context matters: The experience of 14 research teams in systematically reporting contextual factors important for practice change. The Annals of Family Medicine, 11(Suppl_1). https://doi.org/10.1370/afm.1549. PMID: 23690380 PMCID: PMC3707255.
Version:
Number/name of the most recent version of the assessment instrument
Not FoundRelated Instruments:
Indicate if assessment instrument is related to another instrument in the repository.
Not FoundImplementation Science Considerations
- 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
- Canadian Institutes of Health Research Knowledge Translation within the Research Cycle Model or Knowledge Action Model
- Choosing Wisely Deimplementation Framework
- Community Based Participatory Research (CBPR)
- Conceptual Framework For The Comparative Analysis of Policy Change
- Conceptual Model of Knowledge Utilization
- Conceptualizing Dissemination Research and Activity: Canadian Heart Health Initiative
- 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
- 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
- Evidence Integration Triangle
- Facilitating Adoption of Best Practices (FAB) Model
- Framework for Analyzing Adoption of Complex Health Innovations
- Framework for Enhancing the Value of Research for Dissemination and Implementation
- Framework for Spread
- Framework for the Dissemination & Utilization of Research for Health-Care Policy & 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
- Implementation Effectiveness Model
- Interactive Systems Framework
- Kingdon's Multiple-Streams Framework
- Knowledge Exchange Framework
- Knowledge Transfer and Exchange
- Model for Predictors of Adoption
- Organizational Theory of Innovation Implementation
- 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
- Promoting Action on Research Implementation in Health Services (PARIHS)
- Push-Pull Capacity Model
- RAND Model of Persuasive Communication and Diffusion of Medical Innovation
- RE-AIM 2.0/Contextually Expanded RE-AIM
- Real-World Dissemination
- Replicating Effective Programs Framework
- The SPIRIT Action Framework
- Transcreation Framework for Community-engaged Behavioral Interventions to Reduce Health Disparities
- Weiner organizational readiness
- conNECT Framework
- Acceptability
- Adaptation
- Adoption
- Appropriateness
- Effectiveness
- Feasibility
- Fidelity
- Implementation
- Implementation Cost
- Penetration
- Reach
- Sustainment
- Pre-Implementation
- Implementation
- Sustainment
Constructs Assessed:
Constructs assessed by the assessment instrument (linked to constructs included in the D&I models webtool)Theories, Models, Frameworks Relevant:
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:
Not FoundThe implementation strategy/ies evaluated by the assessment instrumentPhase of Implementation Process:
Phase of implementation process when the assessment instrument can be used
Intended Focus
- Individual (Patient, Community Member)
- Implementer
- Community
- System
- Policy
- Researcher/Evaluator
- Clinical Outpatient
- Clinical Inpatient
- Residential Care
- Public Health Agency
- Public (Laws, Regulations)
- Healthcare Financing/Reimbursement
- Clinical Practice
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:
Assessment instrument is relevant to policyEquity Focus:
Not Found
Psychometric Properties
Scoring:
NoThe 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:
Not FoundThe 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
- High: Observation and syncronous collection of data
Time to Administer:
Considerable time and effortThe amount of time required to complete the assessment instrumentUses Secondary Data:
YesAssessment instrument relies on a secondary data sourceCost:
FreeCost associated with access to assessment instrument (Some instruments might require login.)Literacy:
Not FoundReadability of the items reported on.Interpretation:
NoExpertise needed for interpretation of data is reported.Training:
NoExpertise needed to use the assessment instrument is reportedResources Required to Administer:
HighResources 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:
Not FoundData collection and/or result generation involves interactive components.
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