Background: Communities of practice and social-professional networks are generally considered to enhance workplace experience and enable organizational success. However, despite the remarkable growth in interest in the role of collaborating structures in a range of industries, there is a paucity of empirical research to support this view. Nor is there a convincing model for their systematic evaluation, despite the significant potential benefits in answering the core question: how well do groups of professionals work together and how could they be organised to work together more effectively? This research project will produce a rigorous evaluation methodology and deliver supporting tools for the benefit of researchers, policymakers, practitioners and consumers within the health system and other sectors. Given the prevalence and importance of communities of practice and social networks, and the extent of investments in them, this project represents a scientific innovation of national and international significance.
BackgroundCompliance with surgical safety checklists (SSCs) has been associated with improvements in clinical processes such as antibiotic use, correct site marking, and overall safety processes. Yet, proper execution has been difficult to achieve.ObjectivesThe objective of this study was to undertake a process evaluation of four knowledge translation (KT) strategies used to implement the Pass the Baton (PTB) intervention which was designed to improve utilization of the SSC.MethodsAs part of the process evaluation, a logic model was generated to explain which KT strategies worked well (or less well) in the operating rooms of a tertiary referral hospital in Queensland, Australia. The KT strategies implemented included change champions/opinion leaders, education, audit and feedback, and reminders. In evaluating the implementation of these strategies, this study considered context, intervention and underpinning assumptions, implementation, and mechanism of impact. Observational and interview data were collected to assess implementation of the KT strategies relative to fidelity, feasibility, and acceptability.ResultsFindings from 35 structured observations and 15 interviews with 96 intervention participants suggest that all of the KT strategies were consistently implemented. Of the 220 staff working in the department, that is, nurses, anesthetists, and surgeons, 160 (72.7%) knew about the PTB strategies. Qualitative analysis revealed that implementation was generally feasible and acceptable. A barrier to feasibility was physician engagement. An impediment to acceptability was participants’ skepticism about the ability of the KT strategies to effect behavioral change.ConclusionOverall, results of this evaluation suggest that success of implementation was moderate. Given the probable impact of contextual factors, that is, team culture and the characteristics of participants, the KT strategies may need modification prior to widespread implementation.
The methodological designs underpinning many primary health-care interventions are not rigorous. Logic models can be used to support intervention planning, implementation and evaluation in the primary health-care setting. Logic models provide a systematic and visual way of facilitating shared understanding of the rationale for the intervention, the planned activities, expected outcomes, evaluation strategy and required resources. This article provides guidance for primary health-care practitioners and researchers on the use of logic models for enhancing methodological rigour of interventions. The article outlines the recommended steps in developing a logic model using the 'NutriCare' intervention as an example. The 'NutriCare' intervention is based in the Australian primary health-care setting and promotes nutrition care by general practitioners and practice nurses. The recommended approach involves canvassing the views of all stakeholders who have valuable and informed opinions about the planned project. The following four targeted, iterative steps are recommended: (1) confirm situation, intervention aim and target population; (2) document expected outcomes and outputs of the intervention; (3) identify and describe assumptions, external factors and inputs; and (4) confirm intervention components. Over a period of 2 months, three primary health-care researchers and one health-services consultant led the collaborative development of the 'NutriCare' logic model. Primary health-care practitioners and researchers are encouraged to develop a logic model when planning interventions to maximise the methodological rigour of studies, confirm that data required to answer the question are captured and ensure that the intervention meets the project goals.
Research priority setting is an important component of research planning, particularly when research options exceed available resources. This study identified the research priorities for supporting healthy lifestyle behaviours in the Australian primary healthcare setting. A five-step stakeholder engagement process was undertaken. Ten stakeholder organisations participated in the process, including patient representatives, health professional associations, health educators, researchers, government advisors and policymakers. Each organisation was asked to provide up to three research questions deemed as a priority. Research questions were critically appraised by the project team for answerability, sustainability, effectiveness, potential for translation and potential to affect disease burden. A blinded scoring system was used to rank the appraised questions, with higher scores indicating higher priority (range of scores possible 87-156). Thirteen unique research questions were submitted by stakeholders and achieved a range of scores from 87 to 139 points. The highest scoring research questions focused on: (i) the effectiveness of different health professionals at facilitating healthy lifestyle behaviours; (ii) the effect of health literacy on behaviour change; and (iii) cost-benefit analysis of healthy lifestyle promotion in primary health care. These priorities can be used to ensure future research projects directly align with the needs and preferences of research end-users.
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