SAFER model: Strategic allocation of fundamental epidemic resources.

BACKGROUND: To describe the Strategic Allocation of Fundamental Epidemic Resources (SAFER) model as a method to inform equitable community distribution of critical resources and testing infrastructure. METHODS: The SAFER model incorporates a four-quadrant design to categorize a given community based on two scales: testing rate and positivity rate. Three models for stratifying testing rates and positivity rates were applied to census tracts in Milwaukee County, Wisconsin: using median values (MVs), cluster-based classification and goal-oriented values (GVs). RESULTS: Each of the three approaches had its strengths. MV stratification divided the categories most evenly across geography, aiding in assessing resource distribution in a fixed resource and testing capacity environment. The cluster-based stratification resulted in a less broad distribution but likely provides a truer distribution of communities. The GVs grouping displayed the least variation across communities, yet best highlighted our areas of need. CONCLUSIONS: The SAFER model allowed the distribution of census tracts into categories to aid in informing resource and testing allocation. The MV stratification was found to be of most utility in our community for near real time resource allocation based on even distribution of census tracts. The GVs approach was found to better demonstrate areas of need.

Costs of Immunization Programs for 10 Vaccines in 94 Low- and Middle-Income Countries From 2011 to 2030.

OBJECTIVES: Understanding the level of investment needed for the 2021-2030 decade is important as the global community faces the next strategic period for vaccines and immunization programs. To assist with this goal, we estimated the aggregate costs of immunization programs for ten vaccines in 94 low- and middle-income countries from 2011 to 2030. METHOD: We calculated vaccine, immunization delivery and stockpile costs for 94 low- and middle-income countries leveraging the latest available data sources. We conducted scenario analyses to vary assumptions about the relationship between delivery cost and coverage as well as vaccine prices for fully self-financing countries. RESULTS: The total aggregate cost of immunization programs in 94 countries for 10 vaccines from 2011 to 2030 is $70.8 billion (confidence interval: $56.6-$93.3) under the base case scenario and $84.1 billion ($72.8-$102.7) under an incremental delivery cost scenario, with an increasing trend over two decades. The relative proportion of vaccine and delivery costs for pneumococcal conjugate, human papillomavirus, and rotavirus vaccines increase as more countries introduce these vaccines. Nine countries in accelerated transition phase bear the highest burden of the costs in the next decade, and uncertainty with vaccine prices for the 17 fully self-financing countries could lead to total costs that are 1.3-13.1 times higher than the base case scenario. CONCLUSION: Resource mobilization efforts at the global and country levels will be needed to reach the level of investment needed for the coming decade. Global-level initiatives and targeted strategies for transitioning countries will help ensure the sustainability of immunization programs.

Stressors, coping, and resources needed during the COVID-19 pandemic in a sample of perinatal women.

BACKGROUND: Psychological stress and coping experienced during pregnancy can have important effects on maternal and infant health, which can also vary by race, ethnicity, and socioeconomic status. Therefore, we assessed stressors, coping behaviors, and resources needed in relation to the COVID-19 pandemic in a sample of 162 perinatal (125 pregnant and 37 postpartum) women in the United States. METHODS: A mixed-methods study captured quantitative responses regarding stressors and coping, along with qualitative responses to open-ended questions regarding stress and resources needed during the COVID-19 pandemic. Logistic and linear regression models were used to analyze differences between pregnant and postpartum participants, as well as differences across key demographic variables. Qualitative content analysis was used to analyze open-ended questions. RESULTS: During the COVID-pandemic, food scarcity and shelter-in-place restrictions made it difficult for pregnant women to find healthy foods. Participants also reported missing prenatal appointments, though many reported using telemedicine to obtain these services. Financial issues were prevalent in our sample and participants had difficulty obtaining childcare. After controlling for demographic variables, pregnant women were less likely to engage in healthy stress-coping behaviors than postpartum women. Lastly, we were able to detect signals of increased stressors induced by the COVID-19 pandemic, and less social support, in perinatal women of racial and ethnic minority, and lower-income status. Qualitative results support our survey findings as participants expressed concerns about their baby contracting COVID-19 while in the hospital, significant others missing the delivery or key obstetric appointments, and wanting support from friends, family, and birthing classes. Financial resources, COVID-19 information and research as it relates to maternal-infant health outcomes, access to safe healthcare, and access to baby supplies (formula, diapers, etc.) emerged as the primary resources needed by participants. CONCLUSIONS: To better support perinatal women's mental health during the COVID-19 pandemic, healthcare providers should engage in conversations regarding access to resources needed to care for newborns, refer patients to counseling services (which can be delivered online/via telephone) and virtual support groups, and consistently screen pregnant women for stressors.

Navigating the health system in responding to health workforce challenges of the COVID-19 pandemic: the case of Maldives (short case).

Being a small island and low-middle income country (LMIC) heavily dependent on global markets for sustaining its basic needs and health system, Maldives faced specific challenges during the COVID-19 pandemic. This was reinforced through tensions between the heavily centralized healthcare delivery and a partially decentralized public health system. Using the pillars of pandemic response proposed by the World Health Organisation, this article explores the planning assumptions, resource estimations and strategies adopted to equip the health system with resources for the pandemic response. The resource need estimates based on projections for COVID-19 identified a shortfall of medical professionals to care for patients while maintaining 55% of the workforce for regular healthcare across the atolls. The findings show that while the policy of lockdown bought time to increase hospital beds and devices, the country was unable to increase the healthcare workforce. Furthermore, as the lockdown eased, the exponential increase of cases took Maldives to the global one per capita incidence. Despite this, with cautious planning and use of resources, the country has so far managed to maintain low mortality from COVID-19. The lessons from this experience are paramount in future pandemic response planning, not only for Maldives, but other small island LMICs.

Pooling resources for universal health coverage.

Progress towards universal health coverage in the Caribbean will require greater collaboration between the island states and territories. Gary Humphreys reports.

Technologies to Optimize the Care of Severe COVID-19 Patients for Health Care Providers Challenged by Limited Resources.

Health care systems are belligerently responding to the new coronavirus disease 2019 (COVID-19). The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a specific condition, whose distinctive features are severe hypoxemia associated with (>50% of cases) normal respiratory system compliance. When a patient requires intubation and invasive ventilation, the outcome is poor, and the length of stay in the intensive care unit (ICU) is usually 2 or 3 weeks. In this article, the authors review several technological devices, which could support health care providers at the bedside to optimize the care for COVID-19 patients who are sedated, paralyzed, and ventilated. Particular attention is provided to the use of videolaryngoscopes (VL) because these can assist anesthetists to perform a successful intubation outside the ICU while protecting health care providers from this viral infection. Authors will also review processed electroencephalographic (EEG) monitors which are used to better titrate sedation and the train-of-four monitors which are utilized to better administer neuromuscular blocking agents in the view of sparing limited pharmacological resources. COVID-19 can rapidly exhaust human and technological resources too within the ICU. This review features a series of technological advancements that can significantly improve the care of patients requiring isolation. The working conditions in isolation could cause gaps or barriers in communication, fatigue, and poor documentation of provided care. The available technology has several advantages including (a) facilitating appropriate paperless documentation and communication between all health care givers working in isolation rooms or large isolation areas; (b) testing patients and staff at the bedside using smart point-of-care diagnostics (SPOCD) to confirm COVID-19 infection; (c) allowing diagnostics and treatment at the bedside through point-of-care ultrasound (POCUS) and thromboelastography (TEG); (d) adapting the use of anesthetic machines and the use of volatile anesthetics. Implementing technologies for safeguarding health care providers as well as monitoring the limited pharmacological resources are paramount. Only by leveraging new technologies, it will be possible to sustain and support health care systems during the expected long course of this pandemic.

Bringing new tools, a regional focus, resource-sensitivity, local engagement and necessary discipline to mental health policy and planning.

BACKGROUND: While reducing the burden of mental and substance use disorders is a global challenge, it is played out locally. Mental disorders have early ages of onset, syndromal complexity and high individual variability in course and response to treatment. As most locally-delivered health systems do not account for this complexity in their design, implementation, scale or evaluation they often result in disappointing impacts. DISCUSSION: In this viewpoint, we contend that the absence of an appropriate predictive planning framework is one critical reason that countries fail to make substantial progress in mental health outcomes. Addressing this missing infrastructure is vital to guide and coordinate national and regional (local) investments, to ensure limited mental health resources are put to best use, and to strengthen health systems to achieve the mental health targets of the 2015 Sustainable Development Goals. Most broad national policies over-emphasize provision of single elements of care (e.g. medicines, individual psychological therapies) and assess their population-level impact through static, linear and program logic-based evaluation. More sophisticated decision analytic approaches that can account for complexity have long been successfully used in non-health sectors and are now emerging in mental health research and practice. We argue that utilization of advanced decision support tools such as systems modelling and simulation, is now required to bring a necessary discipline to new national and local investments in transforming mental health systems. CONCLUSION: Systems modelling and simulation delivers an interactive decision analytic tool to test mental health reform and service planning scenarios in a safe environment before implementing them in the real world. The approach drives better decision-making and can inform the scale up of effective and contextually relevant strategies to reduce the burden of mental disorder and enhance the mental wealth of nations.

Coronavirus (COVID-19) in Haiti: A Call for Action.

Recently, the cholera outbreak in Haiti demonstrated just how unprepared the country is to rapidly isolate an outbreak of this magnitude, and its vulnerability to the COVID-19 pandemic. This communication briefly examines the health system in Haiti and its vulnerability toward the COVID-19 outbreak.

COVID-19 Waves: Importance of Accumulative Mortality per Million Inhabitants.

The reported number of new cases underestimates the real spread of COVID-19 pandemic because of non-tested asymptomatic people and limited global access to reliable diagnostic tests. In this context, COVID-19 mortality with confirmed diagnosis becomes an attractive source of information to be included in the analysis of perspectives and proposals. Objective data are required to calculate the capacity of resources provided by health systems. New strategies are needed to stabilize or minimize the mortality surge. However, we will not afford this goal until more alternatives were available. We still need an effective treatment, an affordable vaccine, or a collective achievement of sufficient immunity (reaching up to 70% of the whole population). At any time, the arriving waves of the pandemic are testing the capacity of governments. The health services struggle to keep the plateau in a steady-state below 100 deaths per million inhabitants. Therefore, it is necessary to increase the alternatives and supplies based on the current and near-future expected demands imposed by the number of deaths by COVID-19. Estimating COVID-19 mortality in various scenarios with the gradual release of social constraints will help predict the magnitude of those arriving waves.

Crisis Resource Management and High-Performing Teams in Hyperacute Stroke Care.

BACKGROUND AND PURPOSE: Management of stroke patients in the acute setting is a high-stakes task with several challenges including the need for rapid assessment and treatment, maintenance of high-performing team dynamics, management of cognitive load affecting providers, and factors impacting team communication. Crisis resource management (CRM) provides a framework to tackle these challenges and is well established in other resuscitative disciplines. The current Coronavirus Disease 2019 (COVID-19) pandemic has exposed a potential quality gap in emergency preparedness and the ability to adapt to emergency scenarios in real time. METHODS: Available resources in the literature in other disciplines and expert consensus were used to identify key elements of CRM as they apply to acute stroke management. RESULTS: We outline essential ingredients of CRM as a means to mitigate nontechnical challenges providers face during acute stroke care. These strategies include situational awareness, triage and prioritization, mitigation of cognitive load, team member role clarity, communication, and debriefing. Incorporation of CRM along with simulation is an established tool in other resuscitative disciplines and can be incorporated into acute stroke care. CONCLUSIONS: As stroke care processes evolve during these trying times, the importance of consistent, safe, and efficacious care facilitated by CRM principles offers a unique avenue to alleviate human factors and support high-performing teams.

Administrative effectiveness in the production of maternal health services in four Mexican states.

OBJECTIVE: To generate evidence on the influence of good management of resources in the delivery of maternal health services in Mexico. MATERIAL AND METHODS: We studied the managerial processes involved in the provision of maternal health services in four states of Mexico exhibiting differences in maternal mortality, maternal health service coverage, and maternal health expenditure. Analysis was based on five analytical dimensions of the cyclic process model designed by the National Council for the Evaluation of Social Development Policy in Mexico. We describe the processes, identify areas of opportunity, and discuss opinions concerning the relevance, timeliness, and sufficiency of human and material resources employed in the delivery of maternal health services. RESULTS: Managerial performance in the four entities was very heterogeneous. In most of the analyzed entities, implementation of the processes was rated from "average" to "very good." CONCLUSION: In order to contribute to universal coverage of maternal health services, managerial processes at the state level need to ensure an adequate, timely, and sufficient supply of resources.

Going beyond health efficiency: What really matters?

Both citizens and policymakers demand the best possible results from a country's healthcare system. It is of utmost importance to accurately and objectively assess the efficiency of a healthcare system and to note the key indicators, where resources are lost, and possibilities for improvement. This paper evaluates the efficiency of health systems in 38 countries, mainly members of the Organization for Economic Co-operation and Development, using data envelopment analysis (DEA). In the first stage, bootstrapped Ivanovic distance is used to generate weights for the indicators, thus taking into consideration different country's goals, but not to the extent of reducing the possibility of comparison. The analysis shows that human resources are the most important health system resource and countries should pay special attention to developing and employing competent medical workers. The reorganization of human resources and the funds allocated to them could also increase efficiency. The second stage examines environmental indicators to find the causes of inefficiency. No proof is found that any one basic health system funding model produces better health outcomes than the others. Obesity is identified as a major issue.

[To what extent Africa can limit the impact of the COVID-19 pandemic?] / Jusqu'où l'Afrique peut-elle limiter l'impact de la pandémie de COVID-19 ?

Following the onset of the global COVID-19 pandemic and the alerts issued by the World Health Organization, for several months attention has been focused on Africa as a potentially severely endangered continent. A sizable number of African countries, mainly low and middle income, suffer from limited available resources, especially in critical care, and COVID-19 is liable to overwhelm their already fragile health systems. To effectively manage what is shaping up as a multidimensional crisis, the challenge unquestionably goes beyond the necessary upgrading of public health infrastructures. It is also a matter of anticipating and taking timely action with regard to factors that may mitigate the propagation of SARS-CoV2 and thereby cushion the shock of the pandemic on the African continent. While some of these factors are largely unmanageable (climate, geography…), several others (socio-cultural, religious, audio-visual, and potentially political…) could be more or less effectively dealt with by African governments and populations.

COVID-19 Prevention and Control Public Health Strategies in Shanghai, China.

CONTEXT: COVID-19 was characterized as a pandemic by the World Health Organization on March 11, 2020. This research aims to analyze the public health strategies to prevent and control COVID-19 in Shanghai, China, and provide recommendations for public health policy and interventions in the United States. PROGRAM: Based on the Social-Ecological Model, this research collected information for public health strategies from the Shanghai Municipal Health Commission and various Chinese websites. EVALUATION: The daily confirmed new cases of COVID-19 decreased from 27 to 0 in 53 days since the first case of COVID-19 was confirmed in Shanghai on January 20, 2020. DISCUSSION: The pattern of daily confirmed new cases suggests the effectiveness of public health strategies. This research also provides recommendations on the development and improvements of public health strategies in the U.S. by acknowledging the differences in political and social systems between the two countries.

Resource husbandry in challenging times.

Coronavirus disease 2019 (COVID-19) pandemic has put a huge pressure on healthcare systems across the globe, more so in developing countries. Not only patients of acute febrile illness and respiratory problems but also patients with other acute and chronic diseases are facing challenges while seeking healthcare, getting laboratory investigations done and obtaining medications. Healthcare workers have their challenges including limited resources, lack of personal protective equipments, and fear of contracting COVID-19. Resource husbandry, which refers to the judicious use of available stocks, is a vital concept that needs to be promoted during such challenging times to combat the shortage of medical resources while simultaneously providing effective treatment to the patients. Some easily implementable concepts of resource husbandry can have a significant impact and result in minimising trouble for many patients during a challenging time.

Healthcare Resource Allocation and Priority-setting. A European Challenge.

The right to health, as a right to healthcare, represents the most expensive social right in Europe, significantly affecting the total budget of the Member States, both in universal and insurance healthcare systems. No healthcare system provides unlimited healthcare resources to all its users. The resources available for healthcare are limited compared with demand, and all healthcare systems, regardless of their financing and organisation, employ mechanisms to prioritise finite healthcare resources. The progressive increase in healthcare costs in a context of scarce resources, worsened by the fiscal crisis of the 1990s and economic crises spreading in Europe since 2007, has highlighted the ever more urgent need to address the fundamental issues of resource allocation and priority-setting at both European and national levels. Hence, priority-setting is arguably one of the most important health policy issues of our time at global, European and national levels.

Impact of family-centered tailoring of pediatric diabetes self-management resources.

BACKGROUND: The American Diabetes Association recommends a family-centered approach that addresses each family's specific type 1 diabetes self-management barriers. OBJECTIVE: To assess an intervention that tailored delivery of self-management resources to families' specific self-management barriers. SUBJECTS: At two sites, 214 children 8-16 years old with type 1 diabetes and their parent(s) were randomized to receive tailored self-management resources (intervention, n = 106) or usual care (n = 108). METHODS: Our intervention (1) identified families' self-management barriers with a validated survey, (2) tailored self-management resources to identified barriers, and (3) delivered the resources as four group sessions coordinated with diabetes visits. Mixed effects models with repeated measures were fit to A1c as well as parent and child QOL during the intervention and 1 year thereafter. RESULTS: Participants were 44% youth (8-12 years) and 56% teens (13-16 years). No intervention effect on A1c or QOL was shown, combining data from sites and age groups. Analyzing results by site and age group, post-intervention A1c for teens at one site declined by 0.06 more per month for intervention teens compared to usual care (P < 0.05). In this group, post-intervention A1c declined significantly when baseline A1c was >8.5 (-0.08, P < 0.05), with an even larger decline when baseline A1c was >10 (-0.19, P < 0.05). In addition, for these teens, the significant improvements in A1c resulted from addressing barriers related to motivation to self-manage. Also at this site, mean QOL increased by 0.61 points per month more during the intervention for parents of intervention youth than for usual care youth (P < 0.05). CONCLUSIONS: Tailored self-management resources may improve outcomes among specific populations, suggesting the need to consider families' self-management barriers and patient characteristics before implementing self-management resources.

Determinants and supporting factors for rebuilding nursing workforce in a post-disaster setting.

BACKGROUND: The workforce shortage is one of the major issues associated with the recovery of Minamisoma City in Fukushima Prefecture, after the Great East Japan Earthquake and the subsequent accidents at the Fukushima Daiichi Nuclear Power Plants in March 2011. While the radiation risks are often discussed as a major factor of evacuation, little is known about the actual reasons why the residents chose to evacuate, and what enables them to return. This study aims to find the essential factors for rebuilding the workforce in a post-disaster setting by analysing the residents' decisions about evacuation and the return to Minamisoma. In particular, we focus on the experiences of nurses as an example of healthcare workers, who play an important role in the disaster recovery. METHODS: The data were obtained through qualitative interviews in a semi-structured form with 25 nurses from four hospitals in Minamisoma City. The interview questions focused on the reasons of their decisions on evacuation and return. The data were analysed by a thematic approach to investigate the major factors which led them to evacuate and enabled them to return afterwards, as well as the support they needed to resettle. RESULTS: Nearly two-thirds of the interviewees chose to evacuate from Minamisoma with their family. Family conditions seem to be the predominant factor that influenced their decisions. In particular, having small children was a strong cause for evacuation. After a certain period of time, the nurses that evacuated were then faced with another decision about returning to the area; once again, having children, as well as other life factors, such as livelihoods, job opportunities and emotional attachment to the work, influenced this decision. On the other hand, radiation risk was a minor factor. Therefore, we analyse that improved support considering their life situations would contribute to the better retention of the nurses. CONCLUSIONS: We suggest measures such as parenting supports, ensuring job opportunities after return, and psychological support in the workplace as possible solutions for higher job retention.

Adaptation, modification, and psychometric assessment of a Norwegian version of the Basel extent of rationing of nursing care for nursing homes instrument (BERNCA-NH).

BACKGROUND: To our knowledge, no instrument has been developed and tested for measuring unfinished care in Norwegian nursing home settings. The Basel Extent of Rationing of Nursing Care for Nursing Homes instrument (BERNCA-NH) was developed and validated in Switzerland to measure the extent of implicit rationing of nursing care in nursing homes. The BERNCA-NH comprises a list of nursing care activities in which a care worker reports the frequency to which activities were left unfinished over the last 7 working days as a result of lack of time. The aim of this study was to adapt and modify a Norwegian version of the BERNCA-NH intended for all care workers, and assess the instruments' psychometric properties in a Norwegian nursing home setting. METHODS: The BERNCA-NH was translated into Norwegian and modified to fit the Norwegian setting with inputs from individual cognitive interviews with informants from the target population. The instrument was then tested in a web-based survey with a final sample of 931 care workers in 162 nursing home units in different parts of Norway. The psychometric evaluation included score distribution, response completeness and confirmatory factor analysis (CFA) of a hypothesised factor structure and evaluation of internal consistency. Hypothesised relation to other variables was assessed through correlations between the subscale scores and three global ratings. RESULTS: The Norwegian version of BERNCA-NH comprised four subscales labelled: routine care, 'when required' care, documentation and psychosocial care. All subscales demonstrated good internal consistency. The CFA supported the four-factor structure with fit statistics indicating a robust model. There were moderate to strong bivariate associations between the BERNCA-NH subscales and the three global ratings. Three items which were not relevant for all care workers were not included in the subscales and treated as single items. CONCLUSIONS: This study found good psychometric properties of the Norwegian version BERNCA-NH, assessed in a sample of care workers in Norwegian nursing homes. The results indicate that the instrument can be used to measure unfinished care in similar settings.