Objective: Context is a critical determinant of the effectiveness of quality improvement programs. We assessed the role of contextual factors in influencing the efforts of 5 diverse quality improvement projects as part of the Pediatric Quality Measure Program (PQMP) directed by the Agency for Health Care Research and Quality.
Methods: We conducted a mixed methods study of 5 PQMP grantees involving semistructured interviews followed by structured worksheets to identify influential contextual factors. Semistructured interviews and worksheets were completed between August and October 2020. Participants were comprised of PQMP grantee teams (2-4 team members per team for a total of 15 participants). Coding and analysis was based on the Tailored Implementation for Chronic Diseases (TICD) framework.
Results: Despite heterogeneity in the process and outcome targets of the PQMP initiatives, professional interactions, incentives and resources, and capacity for organizational change were the domains most commonly identified as influential across the grantees. While social, political, and legal factors was not commonly referenced as an important domain, payer or funder policies (a factor within this domain) was highlighted as one of the most influential factors. Overall, the incentives and resources domain was identified as the most influential.
Conclusions: We found that using a determinant framework, such as the TICD, is valuable in facilitating comparisons across heterogeneous projects, allowing us to identify key contextual factors influencing the implementation of pediatric quality measures across a diverse range of clinical topics and settings. Future quality improvement work should account for this and include resources to support infrastructure development in addition to program implementation.
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http://dx.doi.org/10.1016/j.acap.2021.08.016 | DOI Listing |
Microbiol Spectr
January 2025
Department of Biology, Appalachian State University, Boone, North Carolina, USA.
Unlabelled: Testing for the causative agent of coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been crucial in tracking disease spread and informing public health decisions. Wastewater-based epidemiology has helped to alleviate some of the strain of testing through broader, population-level surveillance, and has been applied widely on college campuses. However, questions remain about the impact of various sampling methods, target types, environmental factors, and infrastructure variables on SARS-CoV-2 detection.
View Article and Find Full Text PDFJ Glob Health
January 2025
China Center for Health Development Studies, Peking University, Beijing, China.
Background: While research in multiple countries confirms that primary care functional features significantly improve patient health, China's primary care system differs markedly due to unique structural and contextual factors. This study aims to measure and explore the functional features experienced by patients received family doctor contract service in the past year, evaluating the impacts and pathways of these primary care features on health outcomes.
Methods: We employed a mixed-methods explanatory sequential design.
Community Dent Oral Epidemiol
January 2025
School of Clinical Dentistry, University of Sheffield, Sheffield, UK.
Aim: To explore the views of patients, caregivers, and dental professionals on the factors that influence implementation, processes, and effectiveness of a guided self-help cognitive behavioural therapy (CBT) intervention, 'Your teeth, you are in control' (YTYAIC), in the CALM trial.
Methods: Semi-structured interviews were conducted as part of this qualitative component of the process evaluation, and data were analysed using a framework approach based on the Consolidated Framework for Implementation Research (CFIR) and the Five Areas Model of CBT.
Results: Thirty-seven participants were recruited.
EClinicalMedicine
January 2025
School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Background: Discrete choice experiments (DCEs) are increasingly used to inform the design of health products and services. It is essential to understand the extent to which DCEs provide reliable predictions outside of experimental settings in real-world decision-making situations. We aimed to compare the prediction accuracy of stated preferences with real-world choices, as modelled from DCE data.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Centre for Medical Education, University of Dundee, Dundee, Scotland.
Background: Like other countries developing standardized general practice training, China faces the challenge of training vast numbers of new general practice faculty. However, little is known about these clinician-teachers' motivations and perceived needs for faculty development. This review intended to explore available published data on Chinese general practice faculty development needs and motivation for ongoing professional development.
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