Dataset Information

Survey-based Work System Assessment to Facilitate Large-scale Dissemination of Healthcare Quality Improvement Programs.

ABSTRACT: Introduction:The dissemination of quality improvement (QI) interventions to a broader range of healthcare settings requires a proactive assessment of local work systems and processes. The objective of this study was to examine the feasibility of using a survey-based work system assessment (WSA) tool to facilitate the dissemination of a program for optimizing blood culture (BC) use. Methods:Informed by findings from an onsite, interview-based WSA at 2 hospitals, a 50-item WSA survey was devised and administrated to 15 hospitals participating in a QI collaborative. WSA survey data were summarized, shared, and discussed with individual hospitals to inform the adaptation and implementation of the BC program. Physician champions leading the local QI team assessed the use of the WSA survey by completing an 8-item survey. Results:A total of 347 clinicians completed the WSA survey, and physician champions at 12 hospitals evaluated the use of the WSA survey. Both the WSA survey data and the evaluation of the WSA survey showed that the survey-based WSA tool could help participating hospitals understand their current BC ordering practices and identify potential barriers to implementing the program from the perspectives of different clinicians. Conclusions:We demonstrated how a survey-based tool could be used to facilitate WSA in the dissemination of a program for improving BC use to a multisite collaborative. A survey-based WSA tool can be used to facilitate future large-scale intervention dissemination efforts.

SUBMITTER: Xie A

PROVIDER: S-EPMC7190253 | biostudies-literature | 2020 Mar-Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Survey-based Work System Assessment to Facilitate Large-scale Dissemination of Healthcare Quality Improvement Programs.

Xie Anping A Koontz Danielle W DW Voskertchian Annie A Fackler James C JC Milstone Aaron M AM Woods-Hill Charlotte Z CZ

Pediatric quality & safety 20200301 2

<h4>Introduction</h4>The dissemination of quality improvement (QI) interventions to a broader range of healthcare settings requires a proactive assessment of local work systems and processes. The objective of this study was to examine the feasibility of using a survey-based work system assessment (WSA) tool to facilitate the dissemination of a program for optimizing blood culture (BC) use.<h4>Methods</h4>Informed by findings from an onsite, interview-based WSA at 2 hospitals, a 50-item WSA surve ...[more]

PMID: 32426645

Similar Datasets

Project description:BackgroundBeginning in 2012, Lean was introduced to improve health care quality and promote patient-centredness throughout the province of Saskatchewan, Canada with the aim of producing coordinated, system-wide change. Significant investments have been made in training and implementation, although limited evaluation of the outcomes have been reported. In order to better understand the complex influences that make innovations such as Lean "workable" in practice, Normalization Process Theory guided this study. The objectives of the study were to: a) evaluate the implementation processes associated with Lean implementation in the Saskatchewan health care system from the perspectives of health care professionals; and b) identify demographic, training and role variables associated with normalization of Lean.MethodsLicensed health care professionals were invited through their professional associations to complete a cross-sectional, modified, online version of the NoMAD questionnaire in March, 2016. Analysis was based on 1032 completed surveys. Descriptive and univariate analyses were conducted. Multivariate multinomial regressions were used to quantify the associations between five NoMAD items representing the four Normalization Process Theory constructs (coherence, cognitive participation, collective action and reflexive monitoring).ResultsMore than 75% of respondents indicated that neither sufficient training nor resources (collective action) had been made available to them for the implementation of Lean. Compared to other providers, nurses were more likely to report that Lean increased their workload. Significant differences in responses were evident between: leaders vs. direct care providers; nurses vs. other health professionals; and providers who reported increased workload as a result of Lean vs. those who did not. There were no associations between responses to normalization construct proxy items and: completion of introductory Lean training; participation in Lean activities; age group; years of professional experience; or employment status (full-time or part-time). Lean leader training was positively associated with proxy items reflecting coherence, cognitive participation and reflexive monitoring.ConclusionsFrom the perspectives of the cross-section of health care professionals responding to this survey, major gaps remain in embedding Lean into healthcare. Strategies that address the challenges faced by nurses and direct care providers, in particular, are needed if intended goals are to be achieved.

Project description:BackgroundWe previously developed a Quality Improvement (QI) Return-on-Investment (ROI) conceptual framework for large-scale healthcare QI programmes. We defined ROI as any monetary or non-monetary value or benefit derived from QI. We called the framework the QI-ROI conceptual framework. The current study describes the different categories of benefits covered by this framework and explores the relationships between these benefits.MethodsWe searched Medline, Embase, Global health, PsycInfo, EconLit, NHS EED, Web of Science, Google Scholar, organisational journals, and citations, using ROI or returns-on-investment concepts (e.g., cost-benefit, cost-effectiveness, value) combined with healthcare and QI. Our analysis was informed by Complexity Theory in view of the complexity of large QI programmes. We used Framework analysis to analyse the data using a preliminary ROI conceptual framework that was based on organisational obligations towards its stakeholders. Included articles discussed at least three organisational benefits towards these obligations, with at least one financial or patient benefit. We synthesized the different QI benefits discussed.ResultsWe retrieved 10 428 articles. One hundred and two (102) articles were selected for full text screening. Of these 34 were excluded and 68 included. Included articles were QI economic, effectiveness, process, and impact evaluations as well as conceptual literature. Based on these literatures, we reviewed and updated our QI-ROI conceptual framework from our first study. Our QI-ROI conceptual framework consists of four categories: 1) organisational performance, 2) organisational development, 3) external outcomes, and 4) unintended outcomes (positive and negative). We found that QI benefits are interlinked, and that ROI in large-scale QI is not merely an end-outcome; there are earlier benefits that matter to organisations that contribute to overall ROI. Organisations also found positive aspects of negative unintended consequences, such as learning from failed QI.Discussion and conclusionOur analysis indicated that the QI-ROI conceptual framework is made-up of multi-faceted and interconnected benefits from large-scale QI programmes. One or more of these may be desirable depending on each organisation's goals and objectives, as well as stage of development. As such, it is possible for organisations to deduce incremental benefits or returns-on-investments throughout a programme lifecycle that are relevant and legitimate.

Project description:BackgroundReturn on Investment (ROI) is increasingly being used to evaluate financial benefits from healthcare Quality Improvement (QI). ROI is traditionally used to evaluate investment performance in the commercial field. Little is known about ROI in healthcare. The aim of this systematic review was to analyse and develop ROI as a concept and develop a ROI conceptual framework for large-scale healthcare QI programmes.MethodsWe searched Medline, Embase, Global health, PsycInfo, EconLit, NHS EED, Web of Science, Google Scholar using ROI or returns-on-investment concepts (e.g., cost-benefit, cost-effectiveness, value). We combined this terms with healthcare and QI. Included articles discussed at least three organisational QI benefits, including financial or patient benefits. We synthesised the different ways in which ROI or return-on-investment concepts were used and discussed by the QI literature; first the economically focused, then the non-economically focused QI literature. We then integrated these literatures to summarise their combined views.ResultsWe retrieved 10 428 articles. One hundred and two (102) articles were selected for full text screening. Of these 34 were excluded and 68 included. The included articles were QI economic, effectiveness, process, and impact evaluations as well as reports and conceptual literature. Fifteen of 68 articles were directly focused on QI programme economic outcomes. Of these, only four focused on ROI. ROI related concepts in this group included cost-effectiveness, cost-benefit, ROI, cost-saving, cost-reduction, and cost-avoidance. The remaining articles mainly mentioned efficiency, productivity, value, or benefits. Financial outcomes were not the main goal of QI programmes. We found that the ROI concept in healthcare QI aligned with the concepts of value and benefit, both monetary and non-monetary.ConclusionOur analysis of the reviewed literature indicates that ROI in QI is conceptualised as value or benefit as demonstrated through a combination of significant outcomes for one or more stakeholders in healthcare organisations. As such, organisations at different developmental stages can deduce benefits that are relevant and legitimate as per their contextual needs.Trial registrationReview registration: PROSPERO; CRD42021236948.

Project description:BackgroundParticipatory research approaches improve the use of evidence in policy, programmes and practice. Few studies have addressed ways to scale up participatory research for wider system improvement or the intensity of effort required. We used the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to analyse implementation of an interactive dissemination process engaging stakeholders with continuous quality improvement (CQI) data from Australian Indigenous primary healthcare centres. This paper reports lessons learnt about scaling knowledge translation research, facilitating engagement at a system level and applying the i-PARIHS framework to a system-level intervention.MethodsDrawing on a developmental evaluation of our dissemination process, we conducted a post-hoc analysis of data from project records and interviews with 30 stakeholders working in Indigenous health in different roles, organisation types and settings in one Australian jurisdiction and with national participants. Content-analysed data were mapped onto the i-PARIHS framework constructs to examine factors contributing to the success (or otherwise) of the process.ResultsThe dissemination process achieved wide reach, with stakeholders using aggregated CQI data to identify system-wide priority evidence-practice gaps, barriers and strategies for improvement across the scope of care. Innovation characteristics influencing success were credible data, online dissemination and recruitment through established networks, research goals aligned with stakeholders' interest in knowledge-sharing and motivation to improve care, and iterative phases of reporting and feedback. The policy environment and infrastructure for CQI, as well as manager support, influenced participation. Stakeholders who actively facilitated organisational- and local-level engagement were important for connecting others with the data and with the externally located research team. Developmental evaluation was facilitative in that it supported real-time adaptation and tailoring to stakeholders and context.ConclusionsA participatory research process was successfully implemented at scale without intense facilitation efforts. These findings broaden the notion of facilitation and support the utility of the i-PARIHS framework for planning participatory knowledge translation research at a system level. Researchers planning similar interventions should work through established networks and identify organisational- or local-level facilitators within the research design. Further research exploring facilitation in system-level interventions and the use of interactive dissemination processes in other settings is needed.

Dataset Information

Survey-based Work System Assessment to Facilitate Large-scale Dissemination of Healthcare Quality Improvement Programs.

Publications

Survey-based Work System Assessment to Facilitate Large-scale Dissemination of Healthcare Quality Improvement Programs.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets