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Despite recommendations, few have reported on quality improvement initiatives to implement length of rehabilitation stay benchmarks, while actively monitoring functional outcomes. This article describes the development, implementation, and evaluation of a precision case management model across all inpatient rehabilitation client groups in a Canadian facility. To develop the length of rehabilitation-stay (LoRS) benchmarks, patient data was retrospectively analyzed. A severity specific method was used to stratify median length of stay. A target reduction on 8.6 days in LoRS was established. Functional discharge targets were also set and monitored at specific intervals via the Functional Independence Measure (FIM®). The implementation used an incremental quality improvement phased approach. Following 12-months, a statistically significant reduction in mean LoRS of 13.2 days was achieved, along with a small increase in FIM® change across all rehabilitation client groups. A similar pattern was seen across the three main client groups, where a LoRS reduction greater than the target was achieved, along with important improvements in LoRS efficiency. This study demonstrates how the implementation of a precision case management model can assist a facility in markedly reducing LoRS across inpatient groups, without compromising functional change or community discharge rates and begin its transformation to a value-based organization.
Residents’ relatives are regularly solicited to evaluate the hotel, social- and health-care services that nursing homes provide to the aged in order to preserve their residual cognitive, physical, and social capabilities. In this study we argue that, due to the services’ different technical and functional elements, residents’ relatives find it easier to assess the quality of the hotel services instead of the other types of services. Based on 2012 responses from residents’ relatives in 38 nursing homes in the Northern part of Italy, our results show that satisfaction with hotel services partially mediates the impact of satisfaction with social- and health-care services, above and beyond their direct effect on the overall satisfaction with all services. We conclude by discussing theoretical contributions and managerial implications.
The Chief Diversity Officer, or CDO, is an increasingly common leadership role within U.S. health care delivery systems. Very little is known about the CDO role across hospitals and health systems. To map the responsibilities and characteristics of how CDOs are positioned within health care, we first searched the web pages of health systems to identify which systems have CDOs, or what we call “CDO-equivalents.” Second, we expanded the search of public documents to new-hire announcements and the online social/professional media site, LinkedIn, to identify information regarding each identified leader’s roles and responsibilities. Finally, text from these documents describing the leader’s roles was uploaded to Atlas.ti, a qualitative analytic software, to identify common themes. There were 60 diversity leaders among 359 U.S. health care systems. Seven consistent roles and responsibilities were identified reflecting a very broad scope of work. Future research should focus on exploring the scope of this leadership role.
Prior to the COVID-19 pandemic, French healthcare practitioners seldom used teleconsultations in France. COVID-19 has brought with it a great need for the use of teleconsultation and other interventions using digital technology. The study’s objective was to identify how French healthcare practitioners used teleconsultation for obstetrics and gynecology care services before and during COVID-19. Our study used a survey of French healthcare practitioners specializing in obstetrics and gynecology from 1 March 2020, to 31 April 2020. We first described the global picture of the teleconsultation context prior to COVID-19 and then during the first lockdown measures. For both contexts, we set up three aspects: 1- teleconsultation regarding providers’ ability; 2- teleconsultation with regards to its technological features; and 3- teleconsultation for which type of healthcare. Second, we mobilized logit models to study the determinant factors of teleconsultation use as well as what drives provider satisfaction with teleconsultation practice. We show the central role of training, and the importance of some main digital technology benefits, namely improving public health, responding to patients’ requests, and facilitating healthcare access. We also exhibit the importance of the limitations specifically related to the lack of convenience in digital technology use and the lack of trust in the digital service provided. Our results guide policy makers on suppliers’ motivation and needs for teleconsultation adoption. These results highlight the conditions for efficient use of teleconsultation.
The outbreak of COVID-19 in early 2020 created dangerous public health conditions which pressured governments and health systems to respond in a rapid and effective manner. However, this type of rapid response required many governments to bypass standing; bureaucratic structures of health sector administration and political governance to quickly take; essential measures against a rapidly evolving public health threat. Each government’s particular; configuration of governmental and health system decision-making created specific structural and functional challenges to these necessary centrally developed and coordinated strategies. Most East Asian governments (except Japan) succeeded relatively quickly in centralizing essential disease control and treatment initiatives in a timely manner. In contrast, a number of European countries, especially those with predominantly tax-based financing and politically managed health delivery systems, had greater difficulty in escaping bureaucratic governance and management constraints. Drawing on data about these governments’ early stage COVID-19 control experiences, this article suggests that structural changes will be necessary if low-performing governments are to better respond to a pandemic. This paper also summarizes other relatively successful strategies. By adopting such strategies, nations can help overcome structural bureaucratic and administrative obstacles in responding to further waves of COVID-19 or similar future pandemic events.
In the U.S. health care system, people under age 65 are at risk of losing and regaining health insurance coverage over their lifetimes, which has important consequences for their physical and mental health. Despite the importance of insurance stability, we have an incomplete understanding about the complex factors influencing whether people lose and regain coverage. To advance our understanding of the dynamics of health insurance coverage and guide future research, our purpose is to present a new conceptual model of health insurance stability, where instability is defined as a person’s loss or change of coverage, which can occur more than once in a lifetime. Drawing from theory and evidence in the literature, we posit that personal and plan characteristics, the health system, and the environmental context – economic, social/cultural, political/judicial, and geographic – drive health insurance stability over the life course and are understudied. Studies are needed to identify the populations most at risk of experiencing insurance instability and vulnerability in health outcomes that results from such insecurity, which may suggest reforms and health policies at the individual, health system, or environment levels to reduce those risks.
The novel coronavirus (COVID-19) pandemic is a major heath crisis that continues to impact healthcare organizations worldwide. As infection rates surged, there was a global shortage of personal protective equipment, critical medications, ventilators, and hospital beds, meaning that healthcare professionals faced increasingly difficult workplace conditions. In this conceptual study, we argue these situations can lead to healthcare professionals experiencing moral emotions - defined as specific emotions which relate, or occur in response, to the interest or welfare of others - towards their organizations. This paper explores the three moral emotions of contempt, anger and disgust, and their potential influence on healthcare professionals’ workplace commitment in the context of a pandemic. Drawing from the moral emotions and organizational commitment literature, we develop a process model to demonstrate how healthcare professionals’ affective and continuous commitment are likely to decrease while, paradoxically, normative, and professional commitment may become amplified. The possible potential for positive outcomes from negative moral emotions is discussed, followed by theoretical and practical contributions of the model, and finally, directions for future research.