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BackgroundThe response to the COVID-19 pandemic required redeployment of large numbers of staff to avoid acute services being overwhelmed. This unprecedented, previously unplanned redeployment occurred in a rapidly changing environment. This paper describes the process of redeployment at a teaching hospital and assessment of this by the redeployed doctors and redeployment team.ObjectiveIdentify key lessons from the redeployment process to inform resilience and future planning for further COVID-19 peaks.MethodsRedeployment team experiences and challenges were documented in real time and formal structured feedback obtained. All redeployed doctors were asked for quantitative and qualitative feedback regarding their experiences in two distinct acute areas with different approaches to staffing.Results63 redeployed staff and five members of the redeployment team completed feedback questionnaires. Most redeployed doctors (76%) were satisfied and had adequate support and training. Redeployment was associated with self-reported stress and anxiety in 95% with 59% describing this as moderate or greater. This was reduced by adequate communication, supervision and a sense of belonging to a firm with access to simple information making a significant difference. Awareness of and satisfaction with well-being support services was also high (71%).The redeployment team identified having a well-mixed team who met daily, an online portal and engagement with leads as the key factors for being successful.ConclusionRedeployment in response to COVID-19 was associated with reported stress and anxiety in most redeployed doctors. Communication, local induction and feeling valued and being part of a team helped reduce this.

Health data of refugees and asylum seekers (ASR) is not routinely collected in Germany. Based on health data of ASR collected in 2018 in regional accommodation centres, we developed a dashboard to estimate regional burden of disease in Baden-Wuerttemberg, Germany. We aimed to find out how scientific data can support actors involved in healthcare planning for ASR in Germany and, within this scope, to explore how healthcare planning is conducted in this context. We conducted 12 qualitative semi-structured interviews including a usability test for a health data dashboard with regional decision-makers. Results showed that healthcare planning processes for ASR in Germany involve a complex set of actors in both long- and short-term decision-making. Data gained from representative surveys can support long-term decision-making and thus support the resilience of the health system, but it must balance the need for simple data presentation with transparent communication of potentially complex methods.

Objectives There are concerns that public anxiety around COVID‐19 discourages patients from seeking medical help. The aim of this study was to see how lockdown due to the pandemic affected the number of admissions of acute stroke. Methods All patients discharged from Akershus University Hospital with a diagnosis of transient ischemic attack (TIA) or acute stroke were identified by hospital chart review. January 3 to March 12 was defined as before, and March 13 to April 30 as during lockdown. Results There were 21.8 admissions/week before and 15.0 admissions/week during the lockdown (P

Objectives: Coronavirus disease 2019 has put unprecedented pressure on healthcare systems worldwide, leading to a reduction of the available healthcare capacity. Our objective was to develop a decision model to estimate the impact of postponing semielective surgical procedures on health, to support prioritization of care from a utilitarian perspective. Methods: A cohort state-transition model was developed and applied to 43 semielective nonpediatric surgical procedures commonly performed in academic hospitals. Scenarios of delaying surgery from 2 weeks were compared with delaying up to 1 year and no surgery at all. Model parameters were based on registries, scientific literature, and the World Health Organization Global Burden of Disease study. For each surgical procedure, the model estimated the average expected disability-adjusted life-years (DALYs) per month of delay. Results: Given the best available evidence, the 2 surgical procedures associated with most DALYs owing to delay were bypass surgery for Fontaine III/IV peripheral arterial disease (0.23 DALY/month, 95% confidence interval [CI]: 0.13-0.36) and trans aortic valve implantation (0.15 DALY/month, 95% CI: 0.09-0.24). The 2 surgical procedures with the least DALYs were placing a shunt for dialysis (0.01, 95% CI: 0.005-0.01) and thyroid carcinoma resection (0.01, 95% CI: 0.01-0.02). Conclusion: Expected health loss owing to surgical delay can be objectively calculated with our decision model based on best available evidence, which can guide prioritization of surgical procedures to minimize population health loss in times of scarcity. The model results should be placed in the context of different ethical perspectives and combined with capacity management tools to facilitate large-scale implementation.

Hospital operating theaters often face the problem of unscheduled emergency arrivals that should be treated as soon as possible. In practice different policies are used to allocate these emergency patients to the operating rooms. These policies are (1) keeping operating rooms empty and available for emergency arrivals; (2) treating emergency patients in elective operating rooms, postponing elective patients; and (3) a mix of these two policies. The use of a specific policy affects performance (e.g., utilization, waiting times, overtime). Currently, these effects are not clear, and there is no agreement on what works ‘best’ for a specific hospital. Using discrete-event simulation, we evaluate the policies for many case characteristics such as hospital size, patient case mix, and fraction of (emergency) patients. We gathered the simulation results in a tool called OR analyzer. This tool is made available online and allows healthcare practitioners to gain insight into the effects of the scheduling policies in settings similar to their specific hospital setting. In addition, this tool allows others researching emergency scheduling policies to frame their hospital settings and compare results.

Introduction Predicting length of stay (LOS) is beneficial to patients and the health service. When a prolonged LOS is predicted, it gives the opportunity for focused therapies and allocation of resources to reduce this period. In emergency general surgery (EGS) there has been limited investigation of variables that may be important predictors of LOS. This study examines social characteristics alongside measures of severity of acute illness and co-morbidities in an adult EGS population to establish their contribution to LOS. Methods Data were collected prospectively from patients at admission including medical variables, demographics, and therapeutic requirements. The length of hospital admission was measured, and multiple regression analysis was used to identify variables which predicted the LOS. Results Data were collected from 105 patients. The regression model gave an R2 of 0.34, p = 0.0006. Barthal index (measure of independence in activities of daily living) was a significant predictor of LOS [logworth 1.649, p0.02243]. Housing status and Level of social support both correlated in one-way analysis with LOS. Conclusion There are non-surgical variables, measurable at admission which are of significant value in predicting LOS of EGS patients. This warrants further investigation through a larger study to better quantify the contributions of these variables, and establish potential early interventions to reduce the LOS., Highlights • Barthal Index is a significant predictor of length of stay at admission for patients admitted under EGS. • Unstable housing and a lack of social support independently correlate with a longer length of stay. • It may be possible to intervene at admission to reduce the length of stay for patients admitted under EGS.

Resumo Este artigo analisa o processo de conformação do perfil assistencial nos hospitais federais no município do Rio de Janeiro. Trata-se de um estudo descritivo, de abordagem qualitativa e que utilizou entrevistas semiestruturadas realizadas junto a gestores hospitalares. A análise dos dados foi realizada a partir da formação do Discurso do Sujeito Coletivo. Na percepção dos gestores esse processo é decorrente de um conjunto de estratégias emergentes, as propostas e as necessidades de mudança se constituem de reações adaptativas que as unidades desenvolvem de forma desarticulada visando à resolução de problemas identificados pelos profissionais e gestores. O processo é considerado muito mais a partir de uma perspectiva política do que racional e sistêmica. Algumas experiências de trabalho com a missão hospitalar, como o enfoque da démarche stratégique, já apontam para uma construção mais colegiada na definição do perfil assistencial, que considera o hospital como componente de uma rede integrada de serviços e que adota um processo de decisão menos incremental e mais integrador. Abstract This article analyzes the process of shaping the care profile of federal hospitals in the city of Rio de Janeiro. This is a qualitative, descriptive study that draws on semi-structured interviews with hospital administrators. Data analysis used the Collective Subject Discourse approach. Managers believe this process is the result of a set of emerging strategies, proposals and need for change, which result in adaptive reactions that hospitals develop with no coordination between them to resolve problems identified by professionals and managers. The process is analyzed much more from a political point of view than from a rational and systemic one. Some of the experience with the hospital mission, such as the focus on a strategic approach, already signals a more collegiate approach to defining the profile of care, where the hospital is one component of an integrated network of services, with a decision process that is less incremental and more integrating.

Background: There are well-known methodological and analytical challenges in planning regional healthcare services (HCS). Increasingly, the need for data-derived planning, including user-perspectives, is discussed. This study aims to better understand the possible contribution of citizen experience in the assessment of regional HCS needs in two regions of Germany. Methods: We conducted a written survey in two regions of differing size—a community (3653 inhabitants) and a county (165,211 inhabitants). Multinomial logistic regression was used to assess the impact of sociodemographic and regional factors on the assessment of HCS provided by general practitioners (GPs) and specialists. Results: Except for age and financial resources available for one’s own health, populations did not differ significantly between the regions. However, citizens’ perception of HCS (measured by satisfaction with 1 = very good to 5 = very poor) differed clearly between different services (e.g., specialists: 3.8–4.3 and pharmacies: 1.7–2.5) as well as between regions (GPs: 1.7–3.1; therapists: 2.9–4). In the multivariate model, region (next to income and age) was a consistent predictor of the perception of GP- and specialist-provided care. Discussion: Citizens’ perceptions of HCS correspond to regional provider density (the greater the density, the better the perception) and add insights into citizens’ needs. Therefore, they can provide valuable information on regional HCS strengths and weaknesses and are a valid resource to support decision makers in shaping regional care structures.

Background Health monitoring in Germany falls short on generating timely, reliable and representative data among migrants, especially transient and marginalized groups such as asylum seekers and refugees (ASR). We aim to advance current health monitoring approaches and obtain reliable estimates on health status and access to essential healthcare services among ASR in Germany’s third largest federal state, Baden-Württemberg. Methods We conducted a state-wide, cross-sectional, population-based health monitoring survey in nine languages among ASR and their children in collective accommodation centres in 44 districts. Questionnaire items capturing health status, access to care, and sociodemographic variables were taken from established surveys and translated using a team approach. Random sampling on the level of 1938 accommodation centres with 70,634 ASR was employed to draw a balanced sample of 65 centres with a net sample of 1% of the state’s ASR population. Multilingual field teams recruited eligible participants using a “door-to-door” approach. Parents completed an additional questionnaire on behalf of their children. Results The final sample comprised 58 centres with 1843 ASR. Of the total sample expected eligible (N = 987), 41.7% (n = 412) participated in the survey. Overall, 157 households had children and received a children’s questionnaire; 61% (n = 95) of these were returned. Age, sex, and nationality of the included sample were comparable to the total population of asylum applicants in Germany. Adults reported longstanding limitations (16%), bad/very bad general health (19%), pain (25%), chronic illness (40%), depression (46%), and anxiety (45%). 52% utilised primary and 37% specialist care services in the previous 12 months, while reporting unmet needs for primary (31%) and specialist care (32%). Younger and male participants had above-average health status and below-average utilisation compared to older and female ASR. Conclusions Our health monitoring survey yielded reliable estimates on health status and health care access among ASR, revealing relevant morbidities and patterns of care. Applying rigorous epidemiological methods in linguistically diverse, transient and marginalized populations is challenging, but feasible. Integration of this approach into state- and nation-wide health monitoring strategies is needed in order to sustain this approach as a health planning tool. Electronic supplementary material The online version of this article (10.1186/s12982-019-0085-2) contains supplementary material, which is available to authorized users.

Using a mathematical model for COVID-19 incorporating data on excess of mortality compared to the corresponding period of the previous year obtained from the daily monitoring of mortality in Spain (MoMo), the prediction of total number of casualties in Spain for the first outbreak has been computed. From this figure, and following a stepwise meta-analysis of available reports, the case fatality rate (CFR) and the infectious case fatality rate (IFR) for the outbreak have been estimated. As the impact of age on these rates is notable, it is proposed to include an age-related adjusted fatality ratio in future comparative analyses between studies, calculated by adjusting the results by risk ratio to a reference age band (e.g., 60&ndash, 69). From the casualty figures, and the corresponding CFR and IFR ratios, the forecast of serologically positive cases in the general Spanish population has been estimated at approximately 1% (0.87&ndash, 1.3%) of the samples. If the data are confirmed by the ongoing study of the Carlos III Institute, until a vaccine is found, the immunity acquired in the general population after the infectious outbreak is far from the 65&ndash, 70% herd immunity required as a barrier for COVID-19.

Background Recently, patient engagement has been identified as a promising strategy for supporting healthcare planning. However, the context and structure of universalistic, “one-size-fits-all” approaches often used for patient engagement may not enable diverse patients to participate in decision-making about programs intended to meet their needs. Specifically, standard patient engagement approaches are gender-blind and might not facilitate the engagement of those marginalized by, for example, substance use, low income, experiences of violence, homelessness, and/or mental health challenges—highly gendered health and social experiences. The project’s purpose was to develop a heuristic model to assist planners to engage patients who are not traditionally included in healthcare planning. Methods Using a qualitative research approach, we reviewed literature and conducted interviews with patients and healthcare planners regarding engaging marginalized populations in health services planning. From these inputs, we created a model and planning manual to assist healthcare planners to engage marginalized patients in health services planning, which we piloted in two clinical programs undergoing health services design. The findings from the pilots were used to refine the model. Results The analysis of the interviews and literature identified power and gender as barriers to participation, and generated suggestions to support diverse populations both to attend patient engagement events and to participate meaningfully. Engaging marginalized populations cannot be reduced to a single defined process, but instead needs to be understood as an iterative process of fitting engagement methods to a particular situation. Underlying this process are principles for meaningfully engaging marginalized people in healthcare planning. Conclusion A one-size-fits-all approach to patient engagement is not appropriate given patients’ diverse barriers to meaningful participation in healthcare planning. Instead, planners need a repertoire of skills and strategies to align the purpose of engagement with the capacities and needs of patient participants. Just as services need to meet diverse patients’ needs, so too must patient engagement experiences. Electronic supplementary material The online version of this article (10.1186/s12913-018-2969-1) contains supplementary material, which is available to authorized users.

Priority setting research has focused on the macro (national) and micro (bedside) level, leaving the meso (institutional, hospital) level relatively neglected. This is surprising given the key role that hospitals play in the delivery of healthcare services and the large proportion of health systems resources that they absorb. To explore the factors that impact upon priority setting at the hospital level, we conducted a thematic review of empirical studies. A systematic search of PubMed, EBSCOHOST, Econlit databases and Google scholar was supplemented by a search of key websites and a manual search of relevant papers’ reference lists. A total of 24 papers were identified from developed and developing countries. We applied a policy analysis framework to examine and synthesize the findings of the selected papers. Findings suggest that priority setting practice in hospitals was influenced by (1) contextual factors such as decision space, resource availability, financing arrangements, availability and use of information, organizational culture and leadership, (2) priority setting processes that depend on the type of priority setting activity, (3) content factors such as priority setting criteria and (4) actors, their interests and power relations. We observe that there is need for studies to examine these issues and the interplay between them in greater depth and propose a conceptual framework that might be useful in examining priority setting practices in hospitals.

ObjectiveThe purpose of this study was to describe the demographics, training, and practice characteristics of consultant vascular surgeons across the UK to provide an assessment of current, and inform future prediction of workforce needs.MethodsA questionnaire was developed using a modified Delphi process to generate questionnaire items. The questionnaire was emailed to all consultant vascular surgeons (n = 450) in the UK who were members of the Vascular Society of Great Britain & Ireland.Results352 consultant vascular surgeons from 95 hospital trusts across the UK completed the survey (78% response rate). The mean age was 50.6 years old, the majority (62%) were mid-career, but 24% were above the age of 55. Currently, 92% are men and only 8% women. 93% work full-time, with 60% working >50 hours, and 21% working >60 hours per week. The average team was 5 to 6 (range 2–10) vascular surgeons, with 23% working in a large team of ≥8. 17% still work in small teams of ≤3. Over 90% of consultant vascular surgeons perform the major index vascular surgery procedures (aneurysm repair, carotid endarterectomy, infra-inguinal bypass, amputation). While 84% perform standard endovascular abdominal aortic aneurysm repair (EVAR)

From the Bhore Committee Report of 1946 to the present Universal Health Coverage (UHC) 2011, nothing much has changed in terms of health status in India. The overall health status continues to be dismal and disappointing. One factor that is mainly responsible for this state of affairs is that healthcare has not been realized as a right. If healthcare becomes a right, the state will become responsible and accountable to the people, for enhancing their health. If people are invoked into a sense of belonging to the health system and made to look at healthcare as their right, there is a strong possibility of a positive change in the overall health status of the people. The article looks at healthcare from the rights perspective and explores the methods in which it can be translated into reality. It tries to look at the moral basis of the right to healthcare. For healthcare to be achieved as a right, the state can no longer be a mute spectator of the predominant market forces dictating the healthcare delivery system. The article argues that translation of healthcare as a right is only possible if the state takes full responsibility to improve the health status of the people.

Doing More with Less: A Client-Centred Approach to Healthcare Logistics in a Nursing Home Setting Dutch nursing homes are currently confronted with two seemingly incompatible goals: a more client-centred approach and the necessity to reduce costs at the same time. It is becoming increasingly apparent that healthcare logistics can contribute to providing high-quality care and support at a reasonable cost. Moreover, care and support which takes the client’s preferences as starting point. A literature study revealed that there is very little in terms of a framework for healthcare logistics that embodies both aspects. Therefore, the authors developed a conceptual framework that meets both requirements. Existing insights on client-centredness and healthcare logistics were used to develop the framework, which offers a structure for both future research and practice in healthcare logistics in nursing home care. This paper reveals that further empirical research is needed to better understand how variability, volume and predictability are interrelated and how they influence the plannability of healthcare activities in terms of what, when, where and by whom. Meer met minder doen: een clientgerichte benadering van zorglogistiek in een verpleeg- en/of verzorgingshuissetting Nederlandse verpleeg- en verzorgingshuizen zien zich geconfronteerd met twee schijnbaar tegengestelde opdrachten: het vergroten van de invloed van de client op de zorgverlening en zorglevering, ook wel vraagsturing genoemd en het reduceren van de kosten. Steeds duidelijker wordt dat zorglogistiek een belangrijke bijdrage kan leveren aan het betaalbaar houden van een kwalitatief goede zorg- en hulpverlening. Zorg- en hulpverlening die bovendien de wensen van clienten als vertrekpunt kiest. Uit literatuuronderzoek blijkt dat er geen zorglogistiek denkraam voor een verpleeg- of verzorgingshuissetting bestaat waarmee beide opdrachten gelijktijdig kunnen worden beschouwd. Deze constatering is voor de auteurs aanleiding geweest om een denkraam of model te ontwikkelen dat wel aan deze eis voldoet. Daarbij is gebruik gemaakt van bestaande inzichten over vraagsturing en (zorg)logistiek. Het gepresenteerde model biedt aanknopingspunten voor toekomstig onderzoek en praktijkbeslissingen op het gebied van zorglogistiek in een verpleeg- en/ of verzorgingshuissetting. Deze paper laat zien dat toekomstig onderzoek nodig is om meer inzicht te krijgen in hoe variabiliteit, volume en voorspelbaarheid onderling samenhangen en de mate van planbaarheid van zorgactiviteiten in termen van wat, wanneer, waar en door wie.

This paper addresses the problem of operating room (OR) scheduling at the tactical level of hospital planning and control. Hospitals repetitively construct operating room schedules, which is a time-consuming, tedious, and complex task. The stochasticity of the durations of surgical procedures complicates the construction of operating room schedules. In addition, unbalanced scheduling of the operating room department often causes demand fluctuation in other departments such as surgical wards and intensive care units. We propose cyclic operating room schedules, so-called master surgical schedules (MSSs) to deal with this problem. In an MSS, frequently performed elective surgical procedure types are planned in a cyclic manner. To deal with the uncertain duration of procedures we use planned slack. The problem of constructing MSSs is modeled as a mathematical program containing probabilistic constraints. Since the resulting mathematical program is computationally intractable we propose a column generation approach that maximizes the operation room utilization and levels the requirements for subsequent hospital beds such as wards and intensive care units in two subsequent phases. We tested the solution approach with data from the Erasmus Medical Center. Computational experiments show that the proposed solution approach works well for both the OR utilization and the leveling of requirements of subsequent hospital beds.