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Assessing mental health clinicians' intentions to adopt evidence-based treatments: reliability and validity testing of the evidence-based treatment intentions scale.

ABSTRACT: Intentions play a central role in numerous empirically supported theories of behavior and behavior change and have been identified as a potentially important antecedent to successful evidence-based treatment (EBT) implementation. Despite this, few measures of mental health clinicians' EBT intentions exist and available measures have not been subject to thorough psychometric evaluation or testing. This paper evaluates the psychometric properties of the evidence-based treatment intentions (EBTI) scale, a new measure of mental health clinicians' intentions to adopt EBTs.The study evaluates the reliability and validity of inferences made with the EBTI using multi-method, multi-informant criterion variables collected over 12 months from a sample of 197 mental health clinicians delivering services in 13 mental health agencies. Structural, predictive, and discriminant validity evidence is assessed.Findings support the EBTI's factor structure (χ (2) = 3.96, df = 5, p = .556) and internal consistency reliability (α = .80). Predictive validity evidence was provided by robust and significant associations between EBTI scores and clinicians' observer-reported attendance at a voluntary EBT workshop at a 1-month follow-up (OR = 1.92, p < .05), self-reported EBT adoption at a 12-month follow-up (R (2) = .17, p < .001), and self-reported use of EBTs with clients at a 12-month follow-up (R (2) = .25, p < .001). Discriminant validity evidence was provided by small associations with clinicians' concurrently measured psychological work climate perceptions of functionality (R (2) = .06, p < .05), engagement (R (2) = .06, p < .05), and stress (R (2) = .00, ns).The EBTI is a practical and theoretically grounded measure of mental health clinicians' EBT intentions. Scores on the EBTI provide a basis for valid inferences regarding mental health clinicians' intentions to adopt EBTs. Discussion focuses on research and practice applications.

SUBMITTER: Williams NJ

PROVIDER: S-EPMC4857292 | biostudies-other | 2016 May

REPOSITORIES: biostudies-other

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Project description:Introduction:Children with high dental anxiety display uncooperative behavior during dental procedures. Different self-assessment questionnaires are in use to estimate the prevalence of dental fear and anxiety (DFA) in children but they need to be tested for reliability and validity in different populations. Objectives:The aim of this study was to test the reliability and validity of two scales for the assessment of child dental fear and anxiety in a sample of Croatian children. Material and Methods:The sample comprised 202 pairs consisting of children and their mothers (97 boys and 105 girls) aged 5 - 12 years. Two scales were used to assess children's DFA: the Children's Fear Survey Schedule - Dental Subscale (CFSS-DS) and the Modified Child Dental Anxiety Scale - face version (MCDAS-f). The Corah's Dental Anxiety Scale (CDAS) was used in the sample of children's mothers. The average scores of cooperative children and children with behavior management problem (BMP) were compared. Results:Cooperative children displayed significantly lower CFSS-DS scores than children with BMP (M = 28. 46 vs. M = 39. 36; P < 0.001). The average MCDAS-f score was significantly higher in children with BMP than in cooperative children (M = 28. 07 vs. 20. 01; P < 0.001). The CFSS-DS showed high internal consistency (Cronbach's ? = 0. 90), while internal consistency of MCDAS-f was good (? = 0. 73). The maternal CDAS showed good internal consistency (? = 0, 89). The correlations with other self-report measurements of DFS show good validity of all scales. The correlations between CFSS-DS and MCDAS-f were highly significant (r = 0.482; P < 0. 01) as well as the correlations of CFSS-DS and MCDAS-f with CDAS scores (r = 0.223; P < 0. 01 and r = 0.198; P < 0. 01, respectively. Conclusion:The obtained results suggest that both the CFSS-DS scale and the MCDAS-f scale are reliable and valid scales for measuring dental fear and anxiety in children in a sample of Croatian children. The MCDAS-f scale has shown slightly lower internal consistency but it is suitable for use in young children. In addition, the MCDAS-f scale is simple to administer.

Project description:BackgroundAlthough researchers are giving increased attention to blockchain-based personal health records (PHRs) and data sharing, the majority of research focuses on technical design. Very little is known about health care consumers' intentions to adopt the applications.ObjectiveThis study aims to explore the intentions and concerns of health care consumers regarding the adoption of blockchain-based personal health records and data sharing.MethodsThree focus groups were conducted, in which 26 participants were shown a prototype of a user interface for a self-sovereign blockchain-based PHR system (ie, a system in which the individual owns, has custody of, and controls access to their personal health information) to be used for privacy and secure health data sharing. A microinterlocutor analysis of focus group transcriptions was performed to show a descriptive overview of participant responses. NVivo 12.0 was used to code the categories of the responses.ResultsParticipants did not exhibit a substantial increase in their willingness to become owners of health data and share the data with third parties after the blockchain solution was introduced. Participants were concerned about the risks of losing private keys, the resulting difficulty in accessing care, and the irrevocability of data access on blockchain. They did, however, favor a blockchain-based PHR that incorporates a private key recovery system and offers a health wallet hosted by government or other positively perceived organizations. They were more inclined to share data via blockchain if the third party used the data for collective good and offered participants nonmonetary forms of compensation and if the access could be revoked from the third party.ConclusionsHealth care consumers were not strongly inclined to adopt blockchain-based PHRs and health data sharing. However, their intentions may increase when the concerns and recommendations demonstrated in this study are considered in application design.

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Assessing mental health clinicians' intentions to adopt evidence-based treatments: reliability and validity testing of the evidence-based treatment intentions scale.

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