ABSTRACT
Public healthcare institutions are the crucial component in the social and economic development of a nation, particularly India. However, public hospitals in India confront multiple operational risk factors that compromise patient satisfaction. Although all the risk factors are essentially critical, the impact potential of any risk factor is ultimately determined by its ability to induce other risk factors. The current research derives motivation from these scenarios and investigates the characteristics of crucial operational risk factors experienced in the public healthcare sector in a South Indian state. Extensive questionnaire-based surveys were conducted among civilians and healthcare professionals in two phases, i.e., prior to the COVID-19 crisis and during the COVID-19 crisis, for identifying significant risk factors. The collected data is analysed using statistical techniques like exploratory factor analysis (EFA) and partial least squares based structural equation modelling (PLS-SEM) to characterise the inter-relationships between risk factors. The research discloses the translational effect of administrative/infrastructure constraints in public hospitals in compromising the operational performance indirectly through human-related issues rather than having a direct influence. More precisely, the presented model indicates that risk factors like the physical infrastructure limitations and shortage of staff will overburden the existing employees, resulting in human-related issues, including attitudinal issues of employees and community mistrusts and misbelieves. The results reveal seemingly resolvable budget allocation issues, but at the same time alarms the authorities to execute immediate countermeasures. Ultimately, this research seeks to empower public hospital administrators with interesting insights and managerial implications drawn from the statistical models. © 2023, The Author(s), under exclusive licence to Operational Research Society of India.
ABSTRACT
The aim of this study is to develop a model describing the interactions and interdependence between the obstacles to effective implementation of a collaborative model of pandemic preparedness and response. A comprehensive review of the relevant literature highlighted 15 key variables. The contextual interactions between these barrier variables were identified based on the opinions of experts with COVID-19 pandemic experience and analyzed to determine their driving and dependence powers using interpretive structural modeling. The findings indicate that the lack of guidelines and procedures for coordinated actions, differences in organizational culture (working habits) and funding constraints are the most critical barriers to effective multi-stakeholder collaboration. Managers of collaborative programmes, policymakers and researchers should carefully focus on these hindrances because any improvement in them can significantly affect the overall system. © Copyright © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.