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Journal ArticleDOI

Validity and reliability of the Spanish version of the Organizational Readiness for Knowledge Translation (OR4KT) questionnaire.

10 Nov 2017-Implementation Science (BioMed Central)-Vol. 12, Iss: 1, pp 128-128
TL;DR: The Spanish version of the Organizational Readiness for Knowledge Translation questionnaire exhibits very strong reliability and good validity, although it needs to be validated in a larger sample and in different implementation contexts.
Abstract: Organizational readiness to change healthcare practice is a major determinant of successful implementation of evidence-based interventions. However, we lack of comprehensive, valid, and reliable instruments to measure it. We assessed the validity and reliability of the Spanish version of the Organizational Readiness for Knowledge Translation (OR4KT) questionnaire in the context of the implementation of the Prescribe Vida Saludable III project, which seeks to strengthen health promotion and chronic disease prevention in primary healthcare organizations of the Osakidetza (Basque Health Service, Spain). A cross-sectional study was conducted including 127 professionals from 20 primary care centers within Osakidetza. They filled in the OR4KT questionnaire twice in a 15- to 30-day period to test repeatability. In addition, we used the Survey of Organizational Attributes for Primary Care (SOAPC) and we documented the number of healthcare professionals who formally engaged in the Prescribe Vida Saludable III project within each participating center to assess concurrent validity. Cronbach’s alpha for the overall OR4KT was .95, and the overall repeatability coefficient was 6.95%, both excellent results. Confirmatory factor analysis supported the underlying theoretical structure of 6 dimensions and 23 sub-dimensions. There were positive moderate-to-high internal correlations between these six dimensions, and there was evidence of good concurrent validity (correlation coefficient of .76 with SOAPC, and .80 with the proportion of professionals engaged by center). A score higher than 64 (out of 100) would be indicative of an organization with high level of readiness to implement the intervention (sensitivity = .75, specificity = 1). The Spanish version of the OR4KT exhibits very strong reliability and good validity, although it needs to be validated in a larger sample and in different implementation contexts.

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Citations
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01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Journal ArticleDOI
TL;DR: The findings indicate that the English, French and Spanish versions of OR4KT are linguistically equivalents and have high face validity, and holds promise as a measure of readiness for knowledge translation in healthcare organizations.
Abstract: Background Implementing effective interventions in healthcare requires organizations to be ready to support change. This study aimed to develop, adapt transculturally, and assess the content and face validity of the Organizational Readiness for Knowledge Translation (OR4KT) tool. The OR4KT was designed to measure the readiness of healthcare organizations to implement evidence-informed change across a variety of services. Methods Based on systematic reviews of the literature, a Delphi exercise, and expert consultation, we first generated an initial pool of items. Second, we developed and assessed content validity of the pilot OR4KT questionnaire in English. Third, we created French and Spanish versions using a sequential forward and backward translation approach, and transcultural adaptation by a consensus process. Finally, we conducted pilot studies in three contexts – the Basque country region (Spain), and the provinces of Quebec and Ontario (Canada) – where 30 experts assessed the face validity of the three versions of OR4KT. Results We selected 59 items, grouped in 6 dimensions (organizational climate, context, change content, leadership, organizational support, and motivation) for the final English version of OR4KT. Translation and transcultural adaptation did not identify any content or language problems. Our findings indicate that the English, French and Spanish versions of OR4KT are linguistically equivalents and have high face validity. Only minor revisions to the wording of some items were recommended. Conclusion The OR4KT holds promise as a measure of readiness for knowledge translation (KT) in healthcare organizations. The validity and reliability of the three versions of the OR4KT will be assessed in real-life contexts of implementation of evidence-based changes in healthcare.

26 citations

Journal ArticleDOI
TL;DR: The health promotion intervention was found to be compatible with the values of primary care professionals, however, professionals at all centers reported barriers to implementation related to external policy and incentives, compatibility with existing workflow and available resources to carry out the program.
Abstract: PURPOSE This study aims to elucidate the health care organization, management and policy barriers and facilitators associated with implementation of an evidence-based health promotion intervention in primary care centers in the Basque Country, Spain. DESIGN/METHODOLOGY/APPROACH Seven focus groups were conducted with 49 health professionals from six primary care centers participating in the Prescribing Healthy Life program. Text was analyzed using the Consolidated Framework for Implementation Research (CFIR) focusing on those constructs related to health care organization, management and policy. FINDINGS The health promotion intervention was found to be compatible with the values of primary care professionals. However, professionals at all centers reported barriers to implementation related to: (1) external policy and incentives, (2) compatibility with existing workflow and (3) available resources to carry out the program. Specific barriers in these areas related to lack of financial and political support, consultation time constraints and difficulty managing competing day-to-day demands. Other barriers and facilitators were related to the constructs networks and communication, culture, relative priority and leadership engagement. A set of six specific barrier-facilitator pairs emerged. ORIGINALITY/VALUE Implementation science and, specifically, the CFIR constructs were used as a guide. Barriers and facilitators related to the implementation of a health promotion program in primary care were identified. Healthcare managers and policy makers can modify these factors to foster a more propitious implementation environment. These factors should be appropriately monitored, both in pre-implementation phases and during the implementation process, in order to ensure effective integration of health promotion into the primary care setting.

10 citations

Journal ArticleDOI
TL;DR: A new tool for measuring readiness change is reviewed, the OR4KT, developed based on a solid theoretical background and with the involvement of experts and potential users in the design and it seems to be a promising and useful tool to diagnose if organizations are ready to implement evidence-informed changes.
Abstract: Worldwide most health systems are facing a series of common challenges characterized by the increasing burden of chronic diseases and multimorbidity, and the accelerated pace of biomedical and technological innovations, on the other side. There is a growing recognition that many changes are needed at the macro, meso and micro management levels to tackle these challenges. Therefore, knowing if healthcare organizations are ready for change is a key issue, as high organizational readiness for change (ORC) has been positively related with higher organizational effort and staff motivation for overcoming barriers and setbacks in change endeavours. In practice, readiness for change is not commonly measured and there is a need of adequate metrics for it. In this commentary, a new tool for measuring readiness change is reviewed, the OR4KT. It has been developed based on a solid theoretical background and with the involvement of experts and potential users in the design and it has been tested and validated in three languages and in different organizational settings. Although its generalizability needs to be further tested, it seems to be a promising and useful tool to diagnose if organizations are ready to implement evidence-informed changes. A broader recognition of the key role that the science of implementation can play in the success of much needed transformations in healthcare provides a good opportunity for the dissemination of the OR4KT.

7 citations

Journal ArticleDOI
TL;DR: The PREDIAPS project will generate scientific knowledge on procedures for engaging PHC professional to facilitate feasible and effective adoption of proven interventions for the prevention of T2D in routine clinical practice through the application of implementation strategies.
Abstract: There is a lack of evidence concerning the effectiveness of different strategies to engage healthcare professionals in collaborative processes that seek to optimise clinical practice. The PREDIAPS project aims to assess the effect of different primary health care (PHC) providers’ engagement procedures in the creation and execution of a facilitated interprofessional collaborative process to optimise the integration of the recommended clinical practice for the prevention of type-2 diabetes (T2D) in routine PHC. This will be a randomised cluster type II hybrid implementation trial. Nine PHC centres from the Basque Health Service (Osakidetza) will be allocated to two different procedures to engage family doctors and nurses and create an interprofessional collaborative practice to optimise the integration of a T2D primary prevention programme. All centres and PHC professionals will receive training on current guidelines in primary prevention of T2D and effective interventions to promote healthy lifestyles. Headed by a local leader and an external facilitator, centres will conduct a collaborative structured process to model and adapt the intervention and its implementation to the specific context of professionals and centres. One of the groups will apply this strategy globally, promoting the cooperation of all health professionals from the beginning. The other will perform it sequentially, centred first on nurses, who will then seek the pragmatic cooperation of doctors. All patients without diabetes aged ≥ 30 years old who attend collaborating centres at least once during the study period and found to be at high risk of developing T2D will be eligible for programme inclusion. The main outcome measures focus on changes observed in indicators of T2D prevention clinical practice at centre level after 12 and 24 months, associated with the application of one or other engagement procedure. Secondary outcomes will compare their clinical effectiveness in changing eligible exposed patients’ main lifestyle behaviours and risk factors (physical activity and diet, weight, etc.) after 12 months. The PREDIAPS project will generate scientific knowledge on procedures for engaging PHC professional to facilitate feasible and effective adoption of proven interventions for the prevention of T2D in routine clinical practice through the application of implementation strategies. Clinicaltrials.gov identifier: NCT03254979 . Registered 16 August 2017.

6 citations


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References
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Book
01 Jan 1983
TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
Abstract: In this Section: 1. Brief Table of Contents 2. Full Table of Contents 1. BRIEF TABLE OF CONTENTS Chapter 1 Introduction Chapter 2 A Guide to Statistical Techniques: Using the Book Chapter 3 Review of Univariate and Bivariate Statistics Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis Chapter 5 Multiple Regression Chapter 6 Analysis of Covariance Chapter 7 Multivariate Analysis of Variance and Covariance Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures Chapter 9 Discriminant Analysis Chapter 10 Logistic Regression Chapter 11 Survival/Failure Analysis Chapter 12 Canonical Correlation Chapter 13 Principal Components and Factor Analysis Chapter 14 Structural Equation Modeling Chapter 15 Multilevel Linear Modeling Chapter 16 Multiway Frequency Analysis 2. FULL TABLE OF CONTENTS Chapter 1: Introduction Multivariate Statistics: Why? Some Useful Definitions Linear Combinations of Variables Number and Nature of Variables to Include Statistical Power Data Appropriate for Multivariate Statistics Organization of the Book Chapter 2: A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques Some Further Comparisons A Decision Tree Technique Chapters Preliminary Check of the Data Chapter 3: Review of Univariate and Bivariate Statistics Hypothesis Testing Analysis of Variance Parameter Estimation Effect Size Bivariate Statistics: Correlation and Regression. Chi-Square Analysis Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis Important Issues in Data Screening Complete Examples of Data Screening Chapter 5: Multiple Regression General Purpose and Description Kinds of Research Questions Limitations to Regression Analyses Fundamental Equations for Multiple Regression Major Types of Multiple Regression Some Important Issues. Complete Examples of Regression Analysis Comparison of Programs Chapter 6: Analysis of Covariance General Purpose and Description Kinds of Research Questions Limitations to Analysis of Covariance Fundamental Equations for Analysis of Covariance Some Important Issues Complete Example of Analysis of Covariance Comparison of Programs Chapter 7: Multivariate Analysis of Variance and Covariance General Purpose and Description Kinds of Research Questions Limitations to Multivariate Analysis of Variance and Covariance Fundamental Equations for Multivariate Analysis of Variance and Covariance Some Important Issues Complete Examples of Multivariate Analysis of Variance and Covariance Comparison of Programs Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures General Purpose and Description Kinds of Research Questions Limitations to Profile Analysis Fundamental Equations for Profile Analysis Some Important Issues Complete Examples of Profile Analysis Comparison of Programs Chapter 9: Discriminant Analysis General Purpose and Description Kinds of Research Questions Limitations to Discriminant Analysis Fundamental Equations for Discriminant Analysis Types of Discriminant Analysis Some Important Issues Comparison of Programs Chapter 10: Logistic Regression General Purpose and Description Kinds of Research Questions Limitations to Logistic Regression Analysis Fundamental Equations for Logistic Regression Types of Logistic Regression Some Important Issues Complete Examples of Logistic Regression Comparison of Programs Chapter 11: Survival/Failure Analysis General Purpose and Description Kinds of Research Questions Limitations to Survival Analysis Fundamental Equations for Survival Analysis Types of Survival Analysis Some Important Issues Complete Example of Survival Analysis Comparison of Programs Chapter 12: Canonical Correlation General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Canonical Correlation Some Important Issues Complete Example of Canonical Correlation Comparison of Programs Chapter 13: Principal Components and Factor Analysis General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Factor Analysis Major Types of Factor Analysis Some Important Issues Complete Example of FA Comparison of Programs Chapter 14: Structural Equation Modeling General Purpose and Description Kinds of Research Questions Limitations to Structural Equation Modeling Fundamental Equations for Structural Equations Modeling Some Important Issues Complete Examples of Structural Equation Modeling Analysis. Comparison of Programs Chapter 15: Multilevel Linear Modeling General Purpose and Description Kinds of Research Questions Limitations to Multilevel Linear Modeling Fundamental Equations Types of MLM Some Important Issues Complete Example of MLM Comparison of Programs Chapter 16: Multiway Frequency Analysis General Purpose and Description Kinds of Research Questions Limitations to Multiway Frequency Analysis Fundamental Equations for Multiway Frequency Analysis Some Important Issues Complete Example of Multiway Frequency Analysis Comparison of Programs

53,113 citations

01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Book
07 Dec 1989
TL;DR: In this article, the authors propose three basic concepts: devising the items, selecting the items and selecting the responses, from items to scales, reliability and validity of the responses.
Abstract: 1. Introduction 2. Basic concepts 3. Devising the items 4. Scaling responses 5. Selecting the items 6. Biases in responding 7. From items to scales 8. Reliability 9. Generalizability theory 10. Validity 11. Measuring change 12. Item response theory 13. Methods of administration 14. Ethical considerations 15. Reporting test results Appendices

9,316 citations

Journal ArticleDOI
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as discussed by the authors provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.

5,668 citations