From recommendation to action: psychosocial factors influencing physician intention to use Health Technology Assessment (HTA) recommendations

Gagnon, Marie‐Pierre; Sánchez, Elisabet; Pons, J

doi:10.1186/1748-5908-1-8

Cited by 48 publications

(37 citation statements)

References 60 publications

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“…Our review included 72 studies [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], …”

Section: Resultsmentioning

confidence: 99%

“…We were able to get access to published versions or copies of 40 instruments [14], [15], [20], [21], [22], [23], [25], [26], [30], [31], [35], [37], [38], [41], [44], [45], [47], [48], [49], [51], [52], [53], [54], [55], [56], [57], [58], [60], [61], [64], [65], [67], [71], [73], [74], [76], [79], [83], [84], [85]. Authors of the 32 remaining tools [16], [17], [18], [19], [24], [27], [28], [29], [32], [33], [34], [36], [39], [40], [42], [43], [46], [50], [59], [62], [63], [66], [68], [69], [70], [72]…”

Section: Resultsmentioning

confidence: 99%

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Development of a Simple 12-Item Theory-Based Instrument to Assess the Impact of Continuing Professional Development on Clinical Behavioral Intentions

Freitas²,

et al. 2014

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BackgroundDecision-makers in organizations providing continuing professional development (CPD) have identified the need for routine assessment of its impact on practice. We sought to develop a theory-based instrument for evaluating the impact of CPD activities on health professionals' clinical behavioral intentions.Methods and FindingsOur multipronged study had four phases. 1) We systematically reviewed the literature for instruments that used socio-cognitive theories to assess healthcare professionals' clinically-oriented behavioral intentions and/or behaviors; we extracted items relating to the theoretical constructs of an integrated model of healthcare professionals' behaviors and removed duplicates. 2) A committee of researchers and CPD decision-makers selected a pool of items relevant to CPD. 3) An international group of experts (n = 70) reached consensus on the most relevant items using electronic Delphi surveys. 4) We created a preliminary instrument with the items found most relevant and assessed its factorial validity, internal consistency and reliability (weighted kappa) over a two-week period among 138 physicians attending a CPD activity. Out of 72 potentially relevant instruments, 47 were analyzed. Of the 1218 items extracted from these, 16% were discarded as improperly phrased and 70% discarded as duplicates. Mapping the remaining items onto the constructs of the integrated model of healthcare professionals' behaviors yielded a minimum of 18 and a maximum of 275 items per construct. The partnership committee retained 61 items covering all seven constructs. Two iterations of the Delphi process produced consensus on a provisional 40-item questionnaire. Exploratory factorial analysis following test-retest resulted in a 12-item questionnaire. Cronbach's coefficients for the constructs varied from 0.77 to 0.85.ConclusionA 12-item theory-based instrument for assessing the impact of CPD activities on health professionals' clinical behavioral intentions showed adequate validity and reliability. Further studies could assess its responsiveness to behavior change following CPD activities and its capacity to predict health professionals' clinical performance.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Development of a Simple 12-Item Theory-Based Instrument to Assess the Impact of Continuing Professional Development on Clinical Behavioral Intentions

Freitas²,

et al. 2014

View full text Add to dashboard Cite

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“…, Typology Questionnaire redundant with Competing Values Framework [52]), or were only published in a foreign language ( e.g. , physician intention measure [53]).…”

Section: Methodsmentioning

confidence: 99%

Measuring factors affecting implementation of health innovations: a systematic review of structural, organizational, provider, patient, and innovation level measures

2013

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BackgroundTwo of the current methodological barriers to implementation science efforts are the lack of agreement regarding constructs hypothesized to affect implementation success and identifiable measures of these constructs. In order to address these gaps, the main goals of this paper were to identify a multi-level framework that captures the predominant factors that impact implementation outcomes, conduct a systematic review of available measures assessing constructs subsumed within these primary factors, and determine the criterion validity of these measures in the search articles.MethodWe conducted a systematic literature review to identify articles reporting the use or development of measures designed to assess constructs that predict the implementation of evidence-based health innovations. Articles published through 12 August 2012 were identified through MEDLINE, CINAHL, PsycINFO and the journal Implementation Science. We then utilized a modified five-factor framework in order to code whether each measure contained items that assess constructs representing structural, organizational, provider, patient, and innovation level factors. Further, we coded the criterion validity of each measure within the search articles obtained.ResultsOur review identified 62 measures. Results indicate that organization, provider, and innovation-level constructs have the greatest number of measures available for use, whereas structural and patient-level constructs have the least. Additionally, relatively few measures demonstrated criterion validity, or reliable association with an implementation outcome (e.g., fidelity).DiscussionIn light of these findings, our discussion centers on strategies that researchers can utilize in order to identify, adapt, and improve extant measures for use in their own implementation research. In total, our literature review and resulting measures compendium increases the capacity of researchers to conceptualize and measure implementation-related constructs in their ongoing and future research.

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“…The usefulness and explanatory value of PNBs has also been recognized in various research domains in recent years (Bamberg & Schmidt, 2003;Gagnon, Sánchez, & Pons, 2006;Valois, Desharnais, & Godin, 1988). For example, Vohs, Baumeister and…”

Section: The Role Of Personal Normative Beliefsmentioning

confidence: 99%

“…Therefore, our expectation is: Overall, the perception of what should be done is shaped by the individual's evaluation of the proposed action, while he or she actually intends to do is driven by the emotional response to that action (Budd & Spencer, 1985). In addition, according to the Theory of Interpersonal Behavior (Triandis, 1977(Triandis, , 1980, PNBs contributes a great deal to the explanation of behavioral intentions (Bamberg & Schmidt, 2003;Gagnon et al, 2006;Sönmez, Apostolopoulos, Yu, Yang, Mattila, & Yu, 2006;Valois et al, 1988;Zhang, Inbakaran, & Jackson, 2006). Hence, PNBs are expected to influence intention to revisit a tourism destination.…”

Section: The Role Of Personal Normative Beliefsmentioning

confidence: 99%

Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

et al. 2016

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This research examines the complex relationship between components of images of destinations and behavioral intentions, incorporating two pivotal constructs that have not been explored in the related literature, namely holistic image and personal normative beliefs (PNBs). Previous studies incorporating destination images as predictors of intention to revisit have mostly investigated their direct effect. This research integrates holistic image as a mediator and PNBs as a moderating variable. The findings verify the mediating role of holistic image for predicting tourists’ intentions to revisit a destination, supporting a model that incorporates a partial effect and two indirect mediations. Interestingly, only affective and conative images contribute to the prediction of tourists’ intentions to revisit a destination through the holistic image towards this destination. Moreover, PNBs moderate the effect that conative destination images have on tourists’ holistic images. Practically, the research sheds light to factors that affect tourists' tendency to select a tourism destination, which can serve as a basis for tailoring the effective positioning of destinations

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From recommendation to action: psychosocial factors influencing physician intention to use Health Technology Assessment (HTA) recommendations

Cited by 48 publications

References 60 publications

Development of a Simple 12-Item Theory-Based Instrument to Assess the Impact of Continuing Professional Development on Clinical Behavioral Intentions

Development of a Simple 12-Item Theory-Based Instrument to Assess the Impact of Continuing Professional Development on Clinical Behavioral Intentions

Measuring factors affecting implementation of health innovations: a systematic review of structural, organizational, provider, patient, and innovation level measures

Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

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