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Top1. Introduction
Healthcare ranks among the largest economic sectors in many countries (Ditzel et al., 2006). Because of rising costs, hospitals face increasing regulatory and market pressure to control expenditures. This pressure may necessitate changes to governance structures of hospitals and other healthcare organizations. Prior reviews of the literature on management accounting in healthcare have focused either on research that tests economic theories on competition, compensation, and cost behavior (Eldenburg and Krishnan, 2007) or have drawn on behavioral, sociology, and critical perspectives theory (Abernethy et al., 2006) to understand the determinants of management control systems in healthcare.
In this project, we use institutional theory as a framework for examining the effects of the alignment between the use of patient advisory configuration, coping strategies of frontline workers, and board competencies, on patient safety, patient satisfaction, and health system performance. This study addresses a gap in knowledge by examining whether the relationship between patient advisory configuration, coping strategies of frontline workers, and health system performance is mediated by patient safety, and patient satisfaction.
Little is known of the extent to which patient advisory, and board competencies interact with patient safety and patient satisfaction to influence the health system performance. Our goal is to assess the feasibility and impact of patient and public-involvement interventions, coping strategies of frontline workers, and board competencies on patient safety, patient satisfaction, and health system performance in English NHS during the Covid-19 Outbreak.
Smits and others (2012) examined the mediating effects of patient safety practices, on the relationship between a hospital characteristic (medical specialty) and hospital employees’ level of reporting of unintended events in hospitals in the Netherlands. The findings revealed that the non-punitive response to errors safety practice partially mediated the relationship between medical specialty type and medication events. In addition, hospital management support partially mediated the relationship between medical specialty type and materials/equipment events (Smits et al., 2012). These findings suggest that patient safety practices, may mediate the relationship between patient advisory configuration, board competencies and health system performance (Cardinaels and Soderstrom, 2013; Harlez and Malague˜no, 2016).
Top2. Background
Our goal is to assess the feasibility and impact of patient and public-involvement interventions, coping strategies, and board competencies on patient safety, patient satisfaction, and health system performance in English NHS during the Covid-19 Outbreak. We use institutional theory as a framework for examining the effects of the alignment between the use of patient advisory configuration, coping strategies, and board competencies, on patient safety, patient satisfaction, and health system performance.
Therefore, this study focuses on the concept of New Public Health Management, it extends previous research by developing a more comprehensive and integrated model to examine the effects of the alignment between the use of patient advisory configuration, coping strategies of frontline workers, and board competencies, on health system performance, and mediating effect of patient safety and patient satisfaction. It can offer valuable insights on the types of governance structures and accounting systems that are likely to be more effective and can help shape healthcare policy.
To date, most of the work on patients’ roles in quality improvement falls under communication and consultation methods, including patient and public reporting of performance results (Hibbard et al., 2000; Reilly et al., 2002); the development of patient education material and decision aids (Stacey et al., 2017); the collection of data on patients’ expectations, experience of care, and satisfaction (Elwyn et al., 2007); or the use of open consultations in the development of quality indicators and clinical practice guidelines (Boivin et al., 2010; Sharma et al., 2017).