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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVES, DESIGN, SETTING, PARTICIPANTS, MAIN OUTCOME MEASURE, RESULTS. Meshes: Cross-Sectional Studies, Decision Making, Female, Humans, Job Satisfaction, Male, Middle Aged, Retrospective Studies, State Medicine, Surveys and Questionnaires, United Kingdom.
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Coproduction in commissioning decisions: is there an association with decision satisfaction for commissioners working in the NHS? Context: To undertake an assessment of the association between coproduction and satisfaction with decisions made for local healthcare communities. A coproduction scale was developed and tested to measure individual National Health Service (NHS) commissioners' satisfaction with commissioning decisions. 11 English Primary Care Trusts in 2010-2011. Staff employed at NHS band 7 or above involved in commissioning decisions in the NHS. 345/440 (78%) of participants completed part of all of the survey. Reliability and validity of a coproduction scale were assessed using a correlation-based principal component analysis model with direct oblimin rotation. Multilevel modelling was used to predict decision satisfaction. The analysis revealed that coproduction consisted of three principal components: productive discussion, information and dealing with uncertainty. Higher decision satisfaction was associated with smaller decisions, more productive discussion, decisions where information was readily available to use and those where decision-making tools were more often used.
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The research indicated that coproduction may be an important factor for satisfaction with decision-making in the commissioning of healthcare services.