Project description:BackgroundEmergency care systems (ECS) organize and provide access to life-saving care both during transport and at health facilities. Not enough is known about ECS in uncertain contexts such as post-conflict settings. This review aims to systematically identify and summarize the published evidence on the delivery of emergency care in post-conflict settings and to guide health sector planning.MethodsWe searched five databases (PubMed MEDLINE, Web of Science, Embase, Scopus, and Cochrane) in September 2021 to identify relevant articles on ECS in post-conflict settings. Included studies (1) described a context that is post-conflict, conflict-affected, or was impacted by war or crisis; (2) examined the delivery of an emergency care system function; (3) were available in English, Spanish, or French; and (4) were published between 1 and 2000 and 9 September 2021. Data were extracted and mapped using the essential system functions identified in the World Health Organization (WHO) ECS Framework to capture findings on essential emergency care functions at the scene of injury or illness, during transport, and through to the emergency unit and early inpatient care.ResultsWe identified studies that describe the unique burden of disease and challenges in delivering to the populations in these states, pointing to particular gaps in prehospital care delivery (both during scene response and during transport). Common barriers include poor infrastructure, lingering social distrust, scarce formal emergency care training, and lack of resources and supplies.ConclusionTo our knowledge, this is the first study to systematically identify the evidence on ECS in fragile and conflict-affected settings. Aligning ECS with existing global health priorities would ensure access to these critical life-saving interventions, yet there is concern over the lack of investments in frontline emergency care. An understanding of the state of ECS in post-conflict settings is emerging, although current evidence related to best practices and interventions is extremely limited. Careful attention should be paid to addressing the common barriers and context-relevant priorities in ECS, such as strengthening prehospital care delivery, triage, and referral systems and training the health workforce in emergency care principles.
Project description:Free-living amoebae that belong to the genus Acanthamoeba are widespread in the environment, including water. They are responsible for human infections and can host pathogenic microorganisms. Under unfavorable conditions, they form cysts with high levels of resistance to disinfection methods, thus potentially representing a threat to public health. In the present study we evaluated the efficacies of various biocides against trophozoites and cysts of several Acanthamoeba strains. We demonstrated that disinfectant efficacy varied depending on the strains tested, with environmental strains demonstrating greater resistance than collection strains. Trophozoites were inactivated by all treatments except those using glutaraldehyde as an active compound: for these treatments, we observed resistance even after 30 min exposure. Cysts resisted many treatments, including certain conditions with glutaraldehyde and other biocides. Moist heat at 55 degrees C was not efficient against cysts, whereas exposure at 65 degrees C was. Several chemical formulations containing peracetic acid, hydrogen peroxide, or ortho-phthalaldehyde presented greater efficacy than glutaraldehyde, as did ethanol and sodium hypochlorite; however, some of these treatments required relatively long incubation times to achieve cyst inactivation. Amoebal cysts can be highly resistant to some high-level disinfectants, which has implications for clinical practice. These results highlight the need to consider the effective disinfection of protozoa in their vegetative and resistant forms due to their intrinsic resistance. This is important not only to prevent the transmission of protozoa themselves but also due to the risks associated with a range of microbial pathogens that are found to be associated intracellularly with these microorganisms.
Project description:Automatic milking systems (AMS) have played a pioneering role in the advancement of Precision Livestock Farming, revolutionizing the dairy farming industry on a global scale. This review specifically targets papers that focus on the use of modeling approaches within the context of AMS. We conducted a thorough review of 60 articles that specifically address the topics of cows' health, production, and behavior/management Machine Learning (ML) emerged as the most widely used method, being present in 63% of the studies, followed by statistical analysis (14%), fuzzy algorithms (9%), deterministic models (7%), and detection algorithms (7%). A significant majority of the reviewed studies (82%) primarily focused on the detection of cows' health, with a specific emphasis on mastitis, while only 11% evaluated milk production. Accurate forecasting of dairy cow milk yield and understanding the deviation between expected and observed milk yields of individual cows can offer significant benefits in dairy cow management. Likewise, the study of cows' behavior and herd management in AMSs is under-explored (7%). Despite the growing utilization of machine learning (ML) techniques in the field of dairy cow management, there remains a lack of a robust methodology for their application. Specifically, we found a substantial disparity in adequately balancing the positive and negative classes within health prediction models.
Project description:Background and objectivesElectronic healthcare records have become central to patient care. Evaluation of new systems include a variety of usability evaluation methods or usability metrics (often referred to interchangeably as usability components or usability attributes). This study reviews the breadth of usability evaluation methods, metrics, and associated measurement techniques that have been reported to assess systems designed for hospital staff to assess inpatient clinical condition.MethodsFollowing Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, we searched Medline, EMBASE, CINAHL, Cochrane Database of Systematic Reviews, and Open Grey from 1986 to 2019. For included studies, we recorded usability evaluation methods or usability metrics as appropriate, and any measurement techniques applied to illustrate these. We classified and described all usability evaluation methods, usability metrics, and measurement techniques. Study quality was evaluated using a modified Downs and Black checklist.ResultsThe search identified 1336 studies. After abstract screening, 130 full texts were reviewed. In the 51 included studies 11 distinct usability evaluation methods were identified. Within these usability evaluation methods, seven usability metrics were reported. The most common metrics were ISO9241-11 and Nielsen's components. An additional "usefulness" metric was reported in almost 40% of included studies. We identified 70 measurement techniques used to evaluate systems. Overall study quality was reflected in a mean modified Downs and Black checklist score of 6.8/10 (range 1-9) 33% studies classified as "high-quality" (scoring eight or higher), 51% studies "moderate-quality" (scoring 6-7), and the remaining 16% (scoring below five) were "low-quality."ConclusionThere is little consistency within the field of electronic health record systems evaluation. This review highlights the variability within usability methods, metrics, and reporting. Standardized processes may improve evaluation and comparison electronic health record systems and improve their development and implementation.
Project description:BackgroundDespite the high prevalence of osteoarthritis and the prominence of primary care in managing this condition, there is no systematic summary of quality indicators applicable for osteoarthritis care in primary care settings.ObjectivesThis systematic review aimed to identify evidence-based quality indicators for monitoring, evaluating and improving the quality of care for adults with osteoarthritis in primary care settings.MethodsOvid MEDLINE and Ovid EMBASE databases and grey literature, including relevant organizational websites, were searched from 2000 to 2015. Two reviewers independently selected studies if (i) the study methodology combined a systematic literature search with assessment of quality indicators by an expert panel and (ii) quality indicators were applicable to assessment of care for adults with osteoarthritis in primary care settings. Included studies were appraised using the Appraisal of Indicators through Research and Evaluation (AIRE) instrument. A narrative synthesis was used to combine the indicators within themes. Applicable quality indicators were categorized according to Donabedian's 'structure-process-outcome' framework.ResultsThe search revealed 4526 studies, of which 32 studies were reviewed in detail and 4 studies met the inclusion criteria. According to the AIRE domains, all studies were clear on purpose and stakeholder involvement, while formal endorsement and use of indicators in practice were scarcely described. A total of 20 quality indicators were identified from the included studies, many of which overlapped conceptually or in content.ConclusionsThe process of developing quality indicators was methodologically suboptimal in most cases. There is a need to develop specific process, structure and outcome measures for adults with osteoarthritis using appropriate methodology.
Project description:Control over symmetry breaking in three-dimensional electromagnetic systems offers a pathway to tailoring their optical activity. We introduce fractured Pancharatnam–Berry-phase metasurface systems, in which a full-waveplate geometric phase metasurface is fractured into two half-waveplate-based metasurfaces and actively configured using shear displacement. Local relative rotations between stacked half-nanowaveplates within the metasurface system are transduced by shear displacement, leading to dynamic modulation of their collective geometric phase properties. We apply this concept to pairs of periodic Pancharatnam–Berry-phase metasurfaces and experimentally show that these systems support arbitrary and reconfigurable broadband circular birefringence response. High-speed circular birefringence modulation is demonstrated with modest shearing speeds, indicating the potential for these concepts to dynamically control polarization states with fast temporal responses. We anticipate that fractured geometric phase metasurface systems will serve as a nanophotonic platform that leverages systems-level symmetry breaking to enable active electromagnetic wave control.
Project description:Conflicts affect health-care systems not only during but also well beyond periods of violence and immediate crises by draining resources, destroying infrastructure and perpetrating human resource shortages. Improving health-care worker (HCW) retention is critical to limiting the strain placed on health systems already facing infrastructure and financial challenges. We reviewed the evidence on the retention of HCWs in fragile, conflict-affected and post-conflict settings and evaluated strategies and their likely success in improving retention and reducing attrition. We conducted a systematic review of studies, following PRISMA guidelines. Included studies (1) described a context that is post-conflict, conflict-affected or was transformed by war or a crisis; (2) examined the retention of HCWs; (3) were available in English, Spanish or French and (4) were published between 1 January 2000 and 25 April 2021. We identified 410 articles, of which 25 studies, representing 17 countries, met the inclusion criteria. Most of the studies (22 out of 25) used observational study designs and qualitative methods to conduct research. Three studies were literature reviews. This review observed four main themes: migration intention, return migration, work experiences and conditions of service and deployment policies. Using these themes, we identify a consolidated list of six push and pull factors contributing to HCW attrition in fragile, conflict-affected and post-conflict settings. The findings suggest that adopting policies that focus on improving financial incentives, providing professional development opportunities, establishing flexibility and identifying staff with strong community links may ameliorate workforce attrition.
Project description:The connectivity of rocks' porous structure and the presence of fractures influence the transfer of fluids in the Earth's crust. Here, we employed laboratory experiments to measure the influence of macro-fractures and effective pressure on the permeability of volcanic rocks with a wide range of initial porosities (1-41 vol. %) comprised of both vesicles and micro-cracks. We used a hand-held permeameter and hydrostatic cell to measure the permeability of intact rock cores at effective pressures up to 30 MPa; we then induced a macro-fracture to each sample using Brazilian tensile tests and measured the permeability of these macro-fractured rocks again. We show that intact rock permeability increases non-linearly with increasing porosity and decreases with increasing effective pressure due to compactional closure of micro-fractures. Imparting a macro-fracture both increases the permeability of rocks and their sensitivity to effective pressure. The magnitude of permeability increase induced by the macro-fracture is more significant for dense rocks. We finally provide a general equation to estimate the permeability of intact and fractured rocks, forming a basis to constrain fluid flow in volcanic and geothermal systems.
Project description:IntroductionIn recent years, inter-organisational collaboration between healthcare organisations has become of increasingly vital importance in order to improve the integration of health service delivery. However, different barriers reported in academic literature seem to hinder the formation and development of such collaboration.Theory and methodsThis systematic literature review of forty studies summarises and categorises the barriers to integrated care in inter-organisational settings as reported in previous studies. It analyses how these barriers operate.ResultsWithin these studies, twenty types of barriers have been identified and then categorised in six groups (barriers related to administration and regulation, barriers related to funding, barriers related to the inter-organisational domain, barriers related to the organisational domain, barriers related to service delivery, and barriers related to clinical practices). Not all of these barriers emerge passively, some are set up intentionally. They are not only context-specific, but are also often related and influence each other.Discussion and conclusionThe compilation of these results allows for a better understanding of the characteristics and reasons for the occurrence of barriers that impede collaboration aiming for the integration of care, not only for researchers but also for practitioners. It can help to explain and counteract the slow progress and limited efficiency and effectiveness of some of the inter-organisational collaboration in healthcare settings.
Project description:BACKGROUND:With the growing use of social media in health care settings, there is a need to measure outcomes resulting from its use to ensure continuous performance improvement. Despite the need for measurement, a unified approach for measuring the value of social media used in health care remains elusive. OBJECTIVE:This study aimed to elucidate how the value of social media in health care settings can be ascertained and to taxonomically identify steps and techniques in social media measurement from a review of relevant literature. METHODS:A total of 65 relevant articles drawn from 341 articles on the subject of measuring social media in health care settings were qualitatively analyzed and synthesized. The articles were selected from the literature from diverse disciplines including business, information systems, medical informatics, and medicine. RESULTS:The review of the literature showed different levels and focus of analysis when measuring the value of social media in health care settings. It equally showed that there are various metrics for measurement, levels of measurement, approaches to measurement, and scales of measurement. Each may be relevant, depending on the use case of social media in health care. CONCLUSIONS:A comprehensive yardstick is required to simplify the measurement of outcomes resulting from the use of social media in health care. At the moment, there is neither a consensus on what indicators to measure nor on how to measure them. We hope that this review is used as a starting point to create a comprehensive measurement criterion for social media used in health care.