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Purpose: The need to match highly variable demand for healthcare services with existing capacity has been a significant health system challenge experienced by the COVID-19 pandemic. Despite mounting research on various COVID-19 responses in the recent literature, there has not been a structured review examining key determinants of health system volume flexibility. The focus of the present research is to review recent literature based on a conceptual framework developed based on the volume flexibility literature on COVID-19. The review also provides a meaningful way to guide practice and future research in the area.
Design/methodology/approach: A literature review was performed guided by the theoretical frameworks developed in the previous volume of flexibility literature. Selected research papers were reviewed and analyzed to identify key determinants of health system volume flexibility.
Findings: Seven determinants of health system volume flexibility under three domains (demand management, capacity management, and performance) included demand management strategies, integration, capacity management strategies, workforce management, technology, quality of disease outcomes, and health system knowledge.
Originality/value: The research provides both health systems researchers as well as practitioners with a foundational conceptual framework and knowledge related to health system volume flexibility. In addition, this research identifies future research areas to expand knowledge relevant to health system volume flexibility.
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http://dx.doi.org/10.1108/JHOM-08-2023-0249 | DOI Listing |
J Appl Clin Med Phys
September 2025
Clinical Imaging Physics Group, Duke University Health System, Durham, North Carolina, USA.
Introduction: Medical physicists play a critical role in ensuring image quality and patient safety, but their routine evaluations are limited in scope and frequency compared to the breadth of clinical imaging practices. An electronic radiologist feedback system can augment medical physics oversight for quality improvement. This work presents a novel quality feedback system integrated into the Epic electronic medical record (EMR) at a university hospital system, designed to facilitate feedback from radiologists to medical physicists and technologist leaders.
View Article and Find Full Text PDFBMC Glob Public Health
September 2025
Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya.
Background: Between November 2023 and March 2024, coastal Kenya experienced another wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections detected through our continued genomic surveillance. Herein, we report the clinical and genomic epidemiology of SARS-CoV-2 infections from 179 individuals (a total of 185 positive samples) residing in the Kilifi Health and Demographic Surveillance System (KHDSS) area (~ā900 km).
Methods: We analyzed genetic, clinical, and epidemiological data from SARS-CoV-2 positive cases across pediatric inpatient, health facility outpatient, and homestead community surveillance platforms.
BMC Womens Health
September 2025
Society for Family Health-Nigeria, Abuja, Nigeria.
Background: Interventions aimed to increase healthcare provider empathy and capacity to deliver person-centered care have been shown to improve healthcare seeking and outcomes. In the context of self-injectable contraception, empathetic counseling and coaching may be promising approaches for addressing "fear of the needle" among clients interested in using subcutaneous depot medroxyprogesterone (DMPA-SC). In Nigeria, the Delivering Innovation in Self-Care (DISC) project developed and evaluated an empathy-based in-service training and supportive supervision intervention for public sector family (FP) planning providers implemented in conjunction with community-based mobilization.
View Article and Find Full Text PDFBMC Infect Dis
September 2025
Department Health and Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Str. 13, Greifswald, 17489, Germany.
Background: Healthcare workers (HCWs) played a crucial role in dealing with the COVID-19 pandemic. In addition to increased workloads, they were confronted with stigmatization due to their work in the health sector.
Methods: Guided by the Health Stigma and Discrimination Framework (HSDF), this study aimed to explore the experiences of stigmatization of HCWs in Germany using semi-structured interviews (Nā=ā34) and investigate effective coping strategies and existing needs in this context.