Relevant bibliographies by topics / Evidence based healthcare

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Evidence based healthcare'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2023

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Journal articles on the topic "Evidence based healthcare"

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Frewin, Derek. "Evidence-based healthcare." International Journal of Evidence-Based Healthcare 3, no. 1 (February 2005): 1. http://dx.doi.org/10.1111/j.1479-6988.2005.00018.x.

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&NA;. "Evidence-based Healthcare." PACEsetterS 7, no. 1 (January 2010): 31. http://dx.doi.org/10.1097/01.jbi.0000393106.49521.d0.

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Rand, J. "Evidence-based Healthcare." Focus on Alternative and Complementary Therapies 2, no. 2 (June 14, 2010): 79–80. http://dx.doi.org/10.1111/j.2042-7166.1997.tb00616.x.

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Frewin, Derek. "Evidence-based healthcare." International Journal of Evidence-Based Healthcare 3, no. 1 (February 2005): 1. http://dx.doi.org/10.1097/01258363-200502000-00001.

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Frewin, Derek. "Evidence-based healthcare." International Journal of Evidence-Based Healthcare 4, no. 4 (December 2006): 263. http://dx.doi.org/10.1097/01258363-200612000-00001.

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Gallagher-Ford, Lynn, and Linda Connor. "Transforming Healthcare to Evidence-Based Healthcare." JONA: The Journal of Nursing Administration 50, no. 5 (May 2020): 248–50. http://dx.doi.org/10.1097/nna.0000000000000878.

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Haycox, Dr Alan. "EVIDENCE-BASED HEALTHCARE MANAGEMENT." Evidence-based Healthcare 3, no. 3 (September 1999): 67–69. http://dx.doi.org/10.1054/ebhc.1999.0247.

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Ravi, Kant, Singh Anjana, and Khanna Richa. "Evidence based oral healthcare." Journal of Oral Biology and Craniofacial Research 10, no. 2 (April 2020): 213. http://dx.doi.org/10.1016/j.jobcr.2020.03.003.

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Park, Dong Ah. "Evidence Based Healthcare and the National Evidence-based healthcare Collaborating Agency (NECA)." Korean Society of Evidence-Based Nursing 6, no. 1 (December 31, 2018): 7–10. http://dx.doi.org/10.54003/kebn.2018.6.1.7.

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Muir Gray, J. A. "Evidence-based and value-based healthcare." Evidence-based Healthcare and Public Health 9, no. 5 (October 2005): 317–18. http://dx.doi.org/10.1016/j.ehbc.2005.08.004.

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Dissertations / Theses on the topic "Evidence based healthcare"

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Russo, Philip L. "Evidence based recommendations for national healthcare-associated infection surveillance." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/100034/1/Philip_Russo_Thesis.pdf.

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This thesis has provided new knowledge about the surveillance of healthcare associated infections both in Australia and internationally. Using a mixed methods approach, a series of evidence based and pragmatic recommendations for a national surveillance program in Australia have been generated. Gaps in current surveillance activities across Australia were identified, and findings from the novel application of a discrete choice experiment, have identified strong key stakeholder support for a preferred national program to reduce the burden of infections in Australian hospitals.
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Wanigarathna, Nadeeshani. "Evidence-based design for healthcare buildings in England and Wales." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16161.

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A substantial amount of credible evidence shows that properly designed healthcare built environments can positively impact upon the health outcomes of the building users. This offers an opportunity to improve the quality of healthcare through appropriately designed healthcare built environments. Evidence-based design (EBD) emerged within healthcare building design practice to enhance the process of designing with credible evidence. This research explored improvement opportunities for EBD in the UK which would subsequently improve the quality of healthcare through built environment interventions. Specifically, three key research gaps were addressed during this research. Firstly, this research explored current practices of evidence use during healthcare designing and opportunities to increase the direct use of research-based evidence and alternative ways of conveying research-based evidence into the design process through other source of generic evidence for design. Secondly, this research explored how evidence could be effectively expressed within healthcare design standards, guidance and tools (SGaTs) in the forms of performance and prescriptive specifications. Finally, considering the unique nature of built environment design, this research explored how project unique contextual circumstances impact EBD processes and how practitioners reflect on these circumstances. These challenges were then transformed into six objectives. Following a comprehensive literature review, this research was divided into four phases. First, a model of the sources and flows of evidence (SaFE) was developed to represent evidence for EBD within generic evidence for design. The initial conceptual model was developed through desk study, based on the literature review, self-experience and the experience. This model was then verified with the comments from five un-structured interviews conducted with lecturers and senior lecturers of the School of Civil and Building Engineering. Finally, the model was validated using 12 semi-structured interviews conducted with design practitioners from the industry. In addition to the validating the sources and flows of evidence these interviews revealed rationales behind design practitioners use of evidence from four types of evidence sources. These results revealed improvement opportunities to increase the intake of research-based evidence use during healthcare built environments designing. The main data collection method for this research was case studies. Eight exemplar design elements within three case studies were investigated to explore details of evidence use practices; practices of using performance and prescriptive specifications; and impact of project unique contextual circumstances for EBD process and how design practitioners reflect on these circumstances. Results of this research revealed that EBD needs to be supported by both externally published research evidence and through internally generated evidence. It was also identified that EBD could be significantly facilitated through research- evidence informed other generic design evidence sources. Healthcare design SGaTs provides a promising prospect to facilitate EBD. Performance specification driven healthcare design SGaTs supplemented by prescriptive specifications to define design outputs and design inputs could improve effective use of evidence-informed SGaTs. These results were incorporated into a framework to guide development of healthcare design SGaTs. Finally, by exploring how projects unique contextual circumstances impact EBD processes and how practitioners reflect on these circumstances, this research identified the need for procedural guidance for designers to guide evidence acquisition, evidence application and new evidence generation.
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Rexhepi, Hanife. "Improving healthcare information systems : A key to evidence based medicine." Licentiate thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11019.

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Delivering good quality care is a complex endeavor that is highly dependent on patient information and medical knowledge. When decisions about the care of a patient are made, they must, as far as possible, be based on research-derived evidence rather than on clinical skills and experience alone. Evidence based medicine (EBM) is the conscientious and judicious use of current best evidence in conjunction with clinical expertise as well as patient values and preferences to guide healthcare decisions. Following the principles of EBM, healthcare practitioners are required to formulate questions based on patients’ current clinical status, medical history, values and preferences, search the literature for answers, evaluate the evidence for its validity and usefulness, and finally apply the information to the patient. Information systems play a crucial role in the practice of evidence based medicine, by allowing healthcare practitioners to access clinical evidence and information about the patients’ health as they formulate their patient-care strategies. However, current information systems solutions are far from this perspective for various reasons. One of these reasons is that existing information systems do not support a seamless flow of patient information along the patient process. Due to interoperability issues, healthcare practitioners cannot easily exchange patient information from one information system to another and from one healthcare practitioner to another. Consequently, vital information that is stored in separate information systems and which could present a clear and complete picture of the patient cannot be easily accessed. All too often, units have to operate without knowledge of the problems addressed by other healthcare practitioners from other units, the services provided, medications prescribed, or preferences expressed in those previous situations. The practice of EBM is further complicated by current information systems that do not support practitioners in their search and evaluation of current evidence in everyday clinical care. Based on a qualitative approach, this work aims to find solutions for how future healthcare information systems can support the practice of EBM. By combining existing research on process orientation, knowledge management and evidence based medicine with empirical data, a number of recommendations have been initiated. These recommendations aim to support healthcare managers, IT–managers and system developers in the development of future healthcare information systems, from a process-oriented and knowledge management perspective. By following these recommendations, it is possible to develop information systems that facilitate the practice of evidence based medicine, and improve patient engagement.
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Whitaker, David S. "The Use of Evidence-Based Design in Hospital Renovation Projects." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6692.

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Since the 1960s, researchers have been exploring how the design of the built environment impacts the health and well-being of occupants and users. By the 1980s, further research began to focus on healthcare facilities in particular and how design could influence patient healing and medical staff performance (Alfonsi, 2014). Evidence-Based Design (EBD) is "the process of basing decisions about the built environment on credible research to achieve the best possible outcomes" (CHD, 2016). The desired outcomes of Evidence-Based Design recommendations include improvements in the following: patient healing, patient experience and comfort, medical staff performance, and medical staff job satisfaction (CHD, 2017). Extensive research has been done on the subject of EBD; however, the question remains whether or not the latest research findings are being utilized by the design and construction industries in practice. The purpose of this research is to determine whether or not the latest scientific knowledge and research findings are being implemented into hospital renovation projects by the healthcare design and construction industries. A list of recommendations from existing EBD literature was compiled. Construction documents from 30 recent healthcare facility renovation projects across the United States were then obtained and analyzed. The findings indicate that EBD recommendations are being adopted in practice at consistently high levels. These findings also reveal that there are still areas of potential improvement which could inform those who influence or determine building and design codes, standards, and guidelines. The results are instructive to owners, designers, and contractors by providing a glimpse into how well the industry is recognizing and implementing known best practices. The findings likewise open up new opportunities for further research which could lead to additional improvement in the healthcare facilities of the future.
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Okcu, Selen. "Developing evidence based design metrics and methods for improving healthcare soundscapes." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43695.

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Healing and clinical work requires a complex choreography of architectural acoustic design in healthcare settings. In most healthcare settings, medical staff members conduct vital tasks that may have life-and-death implications. Patients visit the hospitals to heal. Their expectations include fast recovery, restful sleep, and privacy (i.e., speech privacy). However, sound environment qualities of the care settings often fall far from supporting the mission of hospitals. There is strong and growing evidence showing that effective soundscapes in healthcare settings potentially impact errors, healing and stress for patients, families and staff but it is still not clear what measures of the sound environment best predict key healthcare outcomes and what design strategies best impact those measures. By using a multi-method approach (i.e., objective and subjective noise level measurements, in-situ impulse response measurements, heuristic design analysis, theoretical studies, acoustic simulations and statistical analysis), this study aims to develop evidence based design strategies by statistically defining the relationships between three types of variables: (1) architectural floor-plate design metrics, (2) acoustic metrics, and (3) occupant response. The research is conducted in three phases. The first phase of the study compared the objective and subjective qualities of the hospital sound environments with different architectural designs, assessed the effectiveness of a newer acoustic metrics in capturing caregiver perceptions, and evaluated the impact of particular noise sources on caregiver outcomes. The second phase of the study tested the validity of an acoustic simulation tool in estimating the acoustic qualities of the healthcare soundscapes. The third phase of the study systematically explored the relationship between floor-plate design and acoustics of complex inter-connected nursing unit corridors. Even though the relationship between design and acoustics of proportional spaces (a.k.a. rooms with more traditional dimensions) has been well documented, the number of studies linking design and acoustics of complex non-proportional spaces such as inter-connected corridors still remains limited. The findings of the first phase show that critical care sound environments with different designs can vary drastically and impact caregivers` perceived wellbeing and task performance (e.g., patient auditory monitoring). Despite their extensive use, traditional noise metrics sometimes may not be effective in capturing unique characteristics of healthcare sound environments. This study validated the effectiveness of a new more detailed noise metric, "occurrence rate", in capturing the differences between acoustic characteristics of healthcare sound environments. Moreover, particular noise sources such as impulsive noises are likely to dominate the ICU sound environments and interfere with perceived caregiver health and performance. The findings of the second phase suggest the potential effectiveness of acoustic simulation tools (with hybrid prediction programs) in estimating the acoustic qualities of complex inter-connected hospital corridors. The findings of the third phase suggest the potential significant impact of design features of particular hallways (e.g., number of turns, corridor length, and number of branches) and overall floor-shape characteristics of inter-connected corridors (i.e., relative grid distance, and visual fragmentation) on reverberation time. Overall, in the units with shorter, more compact, fragmented corridors with multiple number of branching hallways, reverberation times are likely to be less. Moreover receivers located at the corridors with less number of turns from the sound source also potentially experience lower reverberation times. According to previous research, the human auditory system`s ability to monitor auditory cues is likely to be higher in the less reverberant sound environments.
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Fingerhut, Henry Alan. "Individual and organizational Uses of Evidence-Based Practice in healthcare settings." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128641.

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Thesis: Ph. D. in Engineering Systems: Technology, Management, and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, February, 2020
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 135-145).
In the three decades since its introduction, Evidence-Based Practice (EBP) has become standard clinical practice and the subject of targeted interventions at all levels of the health system. Despite its prevalence, EBP is frequently challenged on philosophical, practical, empirical, and normative grounds. And EBP is often underused in practice relative to the considerable investment in training and sophisticated organizational interventions to implement EBP. In this dissertation, I identify what the concept of EBP means to health system stakeholders as a partial explanation for this persistent gap in EBP use and implementation outcomes. Through interviews with clinicians and healthcare administrators, I identify how providers and organizations use EBP in practice to clinical ends and in inter-professional relationships. First, I find that in contrast to the theoretical model, stakeholders vary in how they operationalize EBP for individual-level clinical use.
Stakeholders endorse a range of what I call implicit mental models of EBP that imply different approaches to clinical decision-making. Respondents' implicit mental models of EBP each emphasize an incomplete aspect of the full EBP model: Resource-Based EBP emphasizes specific evidence artifacts, Decision-Making EBP emphasizes the decision-making process, and EBT-Based EBP emphasizes specific Evidence-Based Treatments. These implicit models represent the decision inputs, process, and outputs, respectively. Second, I describe how and why healthcare organizations conduct EBP interventions, despite its initial design as an individual-level clinical decision-making model. I document a range of different organizational EBP activities and interventions, including disseminating resources, training providers, and implementing local standards. These organizational EBP activities both support individual EBP use and address broader organizational ends, which may conflict.
Finally, EBP takes on social and inter-professional meanings beyond its intended scope as a clinical decision-making model, which emerge in context and affect how providers understand and use EBP. Specifically, providers may renounce their standing to evaluate evidence, demonstratively use EBP, and administrators claim standing to evaluate evidence. This dissertation therefore demonstrates the varied uses of EBP that emerge in practice, contributing to our understanding of the challenges and contradictions that arise in applying general knowledge to individual cases and systematizing strategies for the same at the organization level.
by Henry Alan Fingerhut.
Ph. D. in Engineering Systems: Technology, Management, and Policy
Ph.D.inEngineeringSystems:Technology,Management,andPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society
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Kasali, Altug. "An ethnographic study of the role of evidence in problem-solving practices of healthcare facilities design teams." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52918.

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Progressive efforts within the healthcare design community have led to a call for architects to use relevant scientific research in design decision making in order to provide facilities that are safe, efficient, and flexible enough to accommodate evolving care processes. Interdisciplinary design project teams comprising architects, interior designers, engineers, and a variety of consultants struggle to find ways to deal with the challenge of incorporating the evidence base into the projects at hand. To date there has been little research into how these interdisciplinary teams operate in the real world and especially how they communicate and attempt to integrate evidence coming from different sources into the architectural design that is delivered. This study presents an investigation of a healthcare design project in situ by using methods of ethnographic inquiry, with the aim of developing an enhanced understanding of actual collaborative healthcare design practices. A major finding is that ‘evidence’, as used in practice is a richly textured notion extending beyond just the scientific research base. The description and analysis of the observed practices is presented around two core chapters involving the design process of 1) the emergency department and 2) the inpatient unit. Each design episode, which depicts the complex socio-cognitive landscape of architectural practice, introduces how evidence, with its various types and representational forms, was generated, represented, evaluated, and translated within the interdisciplinary design team. Strategically utilizing various design media, including layout drawings and mock-ups, the architects represented and negotiated a set of physical design attributes which were supported by differing levels of scientific research findings, anecdotes, successful precedents, in-house experimental findings, and intuition, each having different affordances and constraints in solving design problems over time. Individually, or combined into larger “stories” which were collectively generated, the set of relevant evidence provided a basis for decision making at various scales, ranging from minor details within rooms to broader principles to guide design work over the course of the project. Emphasizing the role of the architects in translation of evidence, the design episodes provide vivid examples of how various forms of evidence shape the design of healthcare environments. The case observed in this research demonstrated that the participants formulated and explained their design ideas in terms of mechanistic arguments where scientific research, best practices, and anecdotal evidence were integrated into segments that formed causal links. These mechanistic models, as repositories of trans-disciplinary knowledge involving design, medicine, epidemiology, nursing, and engineering, expand the scope of traditional understanding of evidence in healthcare design. In facilitating design processes architects are required not only to become knowledgeable about the available evidence on healthcare, but also to use their meta-expertise to interpret, translate (re-present), and produce evidence in order to meaningfully engage in interdisciplinary exchanges. In re-presenting causal models through layouts or mock-ups, architects play a critical role in evidence-based design processes through creating a platform that displays shortcomings of available evidence and shows where evidence needs to be created in situ.
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Zhao, Yisong. "Evidence based design in healthcare : integrating user perception in automated space layout planning." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12621.

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Despite significant technological and scientific advances in healthcare provision and treatment in past decades, economies are struggling to address increasing costs while enhancing accessibility to quality health and care services. Globally, around 8.4% of gross domestic product (GDP) is spent on healthcare, with United States spending 17.4% of its GDP. There is, therefore, a growing interest in reducing healthcare costs and improving quality of care in terms of patients outcomes and their perception. Research has found strong association between physical environments and patient outcomes and staff and patient wellbeing. The acknowledgement of this link has led to the postulation of the idea of evidence based design (EBD) of healthcare facilities, in which design decisions are based on the evidence of the impact of environment on healthcare indicators. The key challenges for integrating EBD in healthcare design are the difficulty in disaggregating past research findings (i.e. evidence) from the context and the use of these findings, often hidden behind several behavioural and demographic variables or of the form of multi-dimensional indices, in design decision-making. Another recent development in healthcare is the patient-centred approach of care, in which patients perceptions and needs take the centre-stage in the planning and delivery of their care. Local and regional healthcare authorities are, therefore, interested in incorporating patients views in all aspects of care, including the design and operation of health and care facilities. Considering the gaps in knowledge, this research was aimed at investigating: users perception of physical environment indicators that had the potential for influencing their wellbeing and care outcomes, and the integration of their perception in the design of healthcare facilities through automated space layout planning. Perceptions of physical environment indicators were investigated using structured questionnaires among three user groups: inpatients, outpatients and healthcare providers. Resulting perception indicators were then used in a prototype automated space layout planning system, developed as part of this research, to aid the optimization process. The research has identified significant differences in perception between different user groups, in particular between males and females. Analyses of scaled responses indicate that environmental design (e.g. lighting and thermal comfort) and maintenance (e.g. cleanliness) related factors are more important to users than abstract architectural design factors (e.g. aesthetics). Accommodating the variation in perception would require individual approaches for the design of constituent spaces in a healthcare facility. With regard to the integration of user perception in design, the research demonstrates that qualitative indicators such as perception can be integrated in automated design frameworks and, therefore, design decisions can be based on a mix of quantitative and qualitative evidence. The application of automated layout planning system in the design of healthcare space layouts also demonstrates that computer-mediated systems and frameworks are a promising alternative to traditional manual design, if increasing number of design factors and objectives are to be reconciled for decision making.
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Geist, Thomas. "A Survey of Healthcare Providers’ Attitudes and Knowledge on E-cigarettes Based On Evidence-Based Practice." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1533656577013985.

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Reid, Benet. "The discourse of evidence-based healthcare (1992-2012) : power in dialogue, embodiment and emotion." Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2491.

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The topic of this thesis is evidence-based healthcare, EBHC. The thesis has two key aims: to undertake an empirical exploration and analysis of debates around EBHC; and to develop a conceptual theorisation of these debates in terms of power. To fulfil the empirical aim I conduct a reading and analytic re-reading of EBHC-literature from the disciplines of medicine, physiotherapy and sociology. To fulfil the conceptual aim I draw upon the work of Foucault, Bakhtin and Barbalet to produce a ‘dialogical’ model of power. Treating debates around EBHC as ‘EB-discourse’, this thesis follows the tradition of discourse analysis; but breaks ground by deploying writing as a research method and applying ethnographic ideas to discursive study. This novel approach I call ‘literary ethnography’. Being a literary ethnography of EB-discourse, the thesis begins with a descriptive overview of the chosen disciplinary literatures. A methodological section explains the rationale for proceeding along the analytic path of dialogue; and then the thesis becomes gradually more analytical through progressively deeper readings of the same literatures. The thesis is structured into these three levels of review, methodology and analysis; and in each level, the three strands of literary context (medicine, physiotherapy and sociology) run in parallel as comparators for each other. EBHC began in medicine (as EBM), but following its course in other disciplines allows discursive similarities and differences to be explicated. The initially descriptive and gradually more analytical approach reveals the dialogical structure of the discourse, and discovers embodiment and emotion as ideas which, across all three contexts, trouble the terms of the discourse. The key findings of the thesis are that in EB-discourse, power operates through dialogue, by being split into different forms which interact to reinforce each other. Specifically, EB-discourse is built upon dialogical distinctions between mind and body, and between emotion and reason. These are dialogues which powerfully re-produce particular kinds of rationality. They are also in dialogue with each other; embodiment for the repressive aspects, and emotion for the productive aspects of power. The thesis also raises questions relating to the predicament of the patient in contemporary healthcare, and relating to the role of philosophical argumentation in social theory. It finishes with some suggestions for investigating the dialogical-power model in other areas of social life.
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Books on the topic "Evidence based healthcare"

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Gray, J. A. Muir. Evidence-based healthcare. 2nd ed. Edinburgh: Churchill Livingston, 2001.

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Evidence-based healthcare design. Hoboken, N.J: J. Wiley, 2009.

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R, Kovner Anthony, Fine David L, and D'Aquila Richard, eds. Evidence-based management in healthcare. Chicago: Health Administration Press, 2009.

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Peat, Jennifer K. Statistics workbook for evidence-based healthcare. Malden, Mass: Blackwell, 2008.

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S, McCullough Cynthia, and Sigma Theta Tau International, eds. Evidence-based design for healthcare facilities. Indianapolis, IN: Sigma Theta Tau International, 2010.

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An introduction to evidence-based practice in nursing and healthcare. Harlow, England: Pearson, 2012.

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1962-, Kim Su-yŏng, ed. Kŭn'gŏ chungsim pogŏn ŭiryo: Evidence-based healthcare. Sŏul-si: Koryŏ Ŭihak, 2009.

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e, Le May Andre, ed. Practice-based evidence for healthcare: Clinical mindlines. London: Routledge, 2011.

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Martin, Colin R. Scientific basis of healthcare: Angina. Boca Raton, FL: CRC Press/Taylor & Francis Group, 2012.

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1971-, Adams Jon, ed. Evidence-based healthcare in context: Critical social science perspectives. Farnham, Surrey, UK: Ashgate Pub. Co., 2011.

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Book chapters on the topic "Evidence based healthcare"

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Carrier, Judith, and Anna Jones. "Evidence-based healthcare." In Managing Long-term Conditions and Chronic Illness in Primary Care, 118–33. 3rd ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003020653-8.

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Gillam, Stephen, A. Niroshan Siriwardena, Martin Roland, and Jennifer Dixon. "Evidence-based healthcare." In Quality Improvement in Primary Care, 120–31. London: CRC Press, 2022. http://dx.doi.org/10.1201/9780429084041-15.

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Stewart, Antony. "Evidence-based healthcare." In Basic Statistics and Epidemiology, 135–50. 5th ed. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003148111-33.

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Johnstone, Jennie, and Mark Downing. "Healthcare-associated Pneumonia." In Evidence-Based Infectious Diseases, 81–86. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119260363.ch7.

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Rose, Gregory W. "Infections in Healthcare Workers." In Evidence-Based Infectious Diseases, 279–86. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119260363.ch20.

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Fox, Nick J. "Practice-Based Evidence." In The Sociology of Healthcare, 76–89. London: Macmillan Education UK, 2008. http://dx.doi.org/10.1007/978-1-137-26654-5_8.

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Anogianakis, George, Anelia Klisarova, Vassilios Papaliagkas, and Antonia Anogeianaki. "Evidence Based Telemedicine." In Intelligent Paradigms for Healthcare Enterprises, 139–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11311966_5.

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Melo, Sara, and Matthias Beck. "Evidence-Based Medicine." In Quality Management and Managerialism in Healthcare, 153–83. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137351999_5.

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Codinhoto, Ricardo, Bronwyn Platten, Patricia Tzortzopoulos, and Mike Kagioglou. "Supporting Evidence-Based Design." In Improving Healthcare through Built Environment Infrastructure, 151–65. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444319675.ch11.

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Jolley, Jeremy. "Evidence-based practice." In Introducing Research and Evidence-Based Practice for Nursing and Healthcare Professionals, 63–88. Third edition. | Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429329456-4.

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Conference papers on the topic "Evidence based healthcare"

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Ekpenyong, Moses E., Samuel S. Udoh, Mercy E. Edoho, Ifiok J. Udo, Edward N. Udo, Temitope J. Fakiyesi, and Samuel B. Oyong. "Hybrid Collaborative Model for Evidence-Based Healthcare Practice." In ICMHI 2020: 2020 4th International Conference on Medical and Health Informatics. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3418094.3418105.

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Lehane, Elaine, Patricia Leahy-Warren, O’ Riordan Cliona, Eileen Savage, Drennan Jonathan, O’Tuathaigh Colm, Michael O’ Connor, et al. "17 Evidence based practice education for healthcare professions – an international multidisciplinary perspective." In Evidence Live Abstracts, June 2018, Oxford, UK. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/bmjebm-2018-111024.17.

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Ellis, L., I. Omar, and R. Padmagirison. "18 The evidence-based clerking proforma." In Leaders in Healthcare Conference, Poster Abstracts, 4–6 November 2019, Birmingham, UK. BMJ Publishing Group Ltd, 2019. http://dx.doi.org/10.1136/leader-2019-fmlm.18.

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Kislov, Roman, Greta Cummings, Anna Ehrenberg, Wendy Gifford, Gill Harvey, Janet Kelly, Alison Kitson, Lena Pettersson, Lars Wallin, and Paul Wilson. "11 From research evidence to ‘evidence by proxy’? organisational enactment of evidence-based healthcare in four high-income countries." In Evidence Live Abstracts, June 2018, Oxford, UK. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/bmjebm-2018-111024.11.

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Chandran, Viji, Girish Thunga, Girish Pai, and Sohil Khan. "26 Application and retention of evidence based practice skills: students and practitioner’s perspectives from an indian healthcare institution." In Evidence Live Abstracts, June 2018, Oxford, UK. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/bmjebm-2018-111024.26.

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Yildiz, Ustun, Khalid Belhajjame, and Daniela Grigori. "Modeling Evidence-Based Medicine Applications with Provenance Data in Pathways." In 9th International Conference on Pervasive Computing Technologies for Healthcare. ICST, 2015. http://dx.doi.org/10.4108/icst.pervasivehealth.2015.260251.

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Anitha, PH. "EXPENDITURE-BASED COMPARATIVE ANALYSIS OF HEALTHCARE SERVICES." In EPHP 2016, Bangalore, 8–9 July 2016, Third national conference on bringing Evidence into Public Health Policy Equitable India: All for Health and Wellbeing. BMJ Publishing Group Ltd, 2016. http://dx.doi.org/10.1136/bmjgh-2016-ephpabstracts.28.

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Yesha, Yelena, Vandana P. Janeja, Naphtali Rishe, and Yaacov Yesha. "Personalized Decision Support System to Enhance Evidence Based Medicine through Big Data Analytics." In 2014 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2014. http://dx.doi.org/10.1109/ichi.2014.71.

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Okoli, Unoma, Shahina Juma, Sheena Patel, Monice Hussain, Ana Phelps, Beatrix Nagyova, Theresa Frang, et al. "76 Using frailty reviews to manage the COVID-19 pandemic in an evidence-based and person-centred manner across Buckinghamshire care homes." In Leaders in Healthcare 2021. BMJ Publishing Group Ltd, 2021. http://dx.doi.org/10.1136/leader-2021-fmlm.76.

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Jin, Mengqi, Hongli Li, Christopher H. Schmid, and Byron C. Wallace. "Using Electronic Medical Records and Physician Data to Improve Information Retrieval for Evidence-Based Care." In 2016 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2016. http://dx.doi.org/10.1109/ichi.2016.12.

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Reports on the topic "Evidence based healthcare"

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McDonagh, Marian S., Roger Chou, Jesse Wagner, Azrah Y. Ahmed, Benjamin J. Morasco, Suchitra Iyer, and Devan Kansagara. Living Systematic Reviews: Practical Considerations for the Agency for Healthcare Research and Quality Evidence-based Practice Center Program. Agency for Healthcare Research and Quality (AHRQ), March 2022. http://dx.doi.org/10.23970/ahrqepcwhitepaperlsr.

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Living systematic reviews are a relatively new approach to keeping the evidence in systematic reviews current by frequent surveillance and updating. The Agency for Healthcare Research and Quality’s Evidence-based Practice Center Program recently commissioned a systematic review of plant-based treatments for chronic pain management. This white paper describes the team’s experience in implementing the protocol that was developed a priori, and reflects on the challenges faced and lessons learned in the process of developing and maintaining a living systematic review. Challenges related to scoping, conducting searches, selecting studies, abstracting data, assessing risk of bias, conducting meta-analysis, performing narrative synthesis, assessing strength of evidence, and generating conclusions are described, as well as potential approaches to addressing these challenges.
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Murad, M. Hassan, Stephanie M. Chang, Celia Fiordalisi, Jennifer S. Lin, Timothy J. Wilt, Amy Tsou, Brian Leas, et al. Improving the Utility of Evidence Synthesis for Decision Makers in the Face of Insufficient Evidence. Agency for Healthcare Research and Quality (AHRQ), April 2021. http://dx.doi.org/10.23970/ahrqepcwhitepaperimproving.

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Background: Healthcare decision makers strive to operate on the best available evidence. The Agency for Healthcare Research and Quality Evidence-based Practice Center (EPC) Program aims to support healthcare decision makers by producing evidence reviews that rate the strength of evidence. However, the evidence base is often sparse or heterogeneous, or otherwise results in a high degree of uncertainty and insufficient evidence ratings. Objective: To identify and suggest strategies to make insufficient ratings in systematic reviews more actionable. Methods: A workgroup comprising EPC Program members convened throughout 2020. We conducted interative discussions considering information from three data sources: a literature review for relevant publications and frameworks, a review of a convenience sample of past systematic reviews conducted by the EPCs, and an audit of methods used in past EPC technical briefs. Results: Several themes emerged across the literature review, review of systematic reviews, and review of technical brief methods. In the purposive sample of 43 systematic reviews, the use of the term “insufficient” covered both instances of no evidence and instances of evidence being present but insufficient to estimate an effect. The results of the literature review and review of the EPC Program systematic reviews illustrated the importance of clearly stating the reasons for insufficient evidence. Results of both the literature review and review of systematic reviews highlighted the factors decision makers consider when making decisions when evidence of benefits or harms is insufficient, such as costs, values, preferences, and equity. We identified five strategies for supplementing systematic review findings when evidence on benefit or harms is expected to be or found to be insufficient, including: reconsidering eligible study designs, summarizing indirect evidence, summarizing contextual and implementation evidence, modelling, and incorporating unpublished health system data. Conclusion: Throughout early scoping, protocol development, review conduct, and review presentation, authors should consider five possible strategies to supplement potential insufficient findings of benefit or harms. When there is no evidence available for a specific outcome, reviewers should use a statement such as “no studies” instead of “insufficient.” The main reasons for insufficient evidence rating should be explicitly described.
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Paez, Kathryn, Rachel Shapiro, Lee Thompson, Erica Shelton, Lucy Savitz, Sarah Mossburg, Susan Baseman, and Amy Lin. Health System Panel To Inform and Encourage Use of Evidence Reports: Findings From the Implementation and Evaluation of Two Evidence-Based Tools. Agency for Healthcare Research and Quality (AHRQ), August 2022. http://dx.doi.org/10.23970/ahrqepchealthsystempanel.

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Objectives. The Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) Program wants learning health systems (LHSs) to use the evidence from its reports to improve patient care. In 2018, to improve uptake of EPC Program findings, the EPC Program developed a project to enhance LHSs’ adoption of evidence to improve the quality and effectiveness of patient care. AHRQ contracted with the American Institutes for Research (AIR) and its partners to convene a panel of senior leaders from 11 LHSs to guide the development of tools to help health systems use findings from EPC evidence reports. The panel’s contributions led to developing, implementing, and evaluating two electronic tools to make the EPC report findings more accessible. AIR evaluated the LHSs’ use of the tools to understand (1) LHSs’ experiences with and impressions of the tools, (2) how well the tools helped them access evidence, and (3) how well the tools addressed barriers to LHS use of the EPC reports and barriers to applying the evidence from the reports. Data sources. (1) Implementation meetings with 6 LHSs; (2) interviews with 27 health system leaders and clinical staff who used the tools; and (3) website utilization metrics. Results. The tools were efficient and useful sources of summarized evidence to (1) inform systems change, (2) educate trainees and clinicians, (3) inform research, and (4) support shared decision making with patients and families. Clinical leaders appreciated the thoroughness and quality of the evidence reviews and view AHRQ as a trusted source of information. Participants found both tools to be valuable and complementary. Participants suggested optimizing the content for mobile device use to facilitate health system uptake of the tools. In addition, they felt it would be helpful to have training resources about tool navigation and interpreting the statistical content in the tools. Conclusions. The evaluation shows that LHSs find the tools to be useful resources for making the EPC Program reports more accessible to health system leaders. The tools have the potential to meet some, but not all, LHS evidence needs, while exposing health system leaders to AHRQ as a resource to help meet their information needs. The ability of the EPC reports to support LHSs in improving the quality of care is limited by the strength and robustness of the evidence, as well as the relevance of the report topics to patient care challenges faced by LHSs.
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Parsons, Helen M., Hamdi I. Abdi, Victoria A. Nelson, Amy M. Claussen, Brittin L. Wagner, Karim T. Sadak, Peter B. Scal, Timothy J. Wilt, and Mary Butler. Transitions of Care From Pediatric to Adult Services for Children With Special Healthcare Needs. Agency for Healthcare Research and Quality (AHRQ), May 2022. http://dx.doi.org/10.23970/ahrqepccer255.

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Objective. To understand the evidence base for care interventions, implementation strategies, and between-provider communication tools among children with special healthcare needs (CSHCN) transitioning from pediatric to adult medical care services. Data sources. We searched Ovid MEDLINE, Ovid Embase, the Cochrane Central trials (CENTRAL) registry, and CINAHL to identify studies through September 10, 2021. We conducted grey literature searches to identify additional resources relevant to contextual questions. Review methods. Using a mixed-studies review approach, we searched for interventions or implementation strategies for transitioning CSHCN from pediatric to adult services. Two investigators screened abstracts and full-text articles of identified references for eligibility. Eligible studies included randomized controlled trials, quasi-experimental observational studies, and mixed-method studies of CSHCN, their families, caregivers, or healthcare providers. We extracted basic study information from all eligible studies and grouped interventions into categories based on disease conditions. We summarized basic study characteristics for included studies and outcomes for studies assessed as low to medium risk of bias using RoB-2. Results. We identified 9,549 unique references, 440 of which represented empirical research; of these, 154 (16 major disease categories) described or examined a care transition intervention with enough detail to potentially be eligible for inclusion in any of the Key Questions. Of these, 96 studies met comparator criteria to undergo risk of bias assessment; however only 9 studies were assessed as low or medium risk of bias and included in our analytic set. Low-strength evidence shows transition clinics may not improve hemoglobin A1C levels either at 12 or 24 months in youth with type 1 diabetes mellitus compared with youth who received usual care. For all other interventions and outcomes, the evidence was insufficient to draw meaningful conclusions because the uncertainty of evidence was too high. Some approaches to addressing barriers include dedicating time and resources to support transition planning, developing a workforce trained to care for the needs of this population, and creating structured processes and tools to facilitate the transition process. No globally accepted definition for effective transition of care from pediatric to adult services for CSHCN exists; definitions are often drawn from principles for transitions, encompassing a broad set of clinical aspects and other factors that influence care outcomes or promote continuity of care. There is also no single measure or set of measures consistently used to evaluate effectiveness of transitions of care. The literature identifies a limited number of available training and other implementation strategies focused on specific clinical specialties in targeted settings. No eligible studies measured the effectiveness of providing linguistically and culturally competent healthcare for CSHCN. Identified transition care training, and care interventions to
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Herbert, Sian. Covid-19, Conflict, and Governance Evidence Summary No.29. Institute of Development Studies (IDS), February 2021. http://dx.doi.org/10.19088/k4d.2021.020.

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This fortnightly Covid-19, Conflict, and Governance Evidence Summary aims to signpost the UK Foreign, Commonwealth and Development Office (FCDO) and other UK government departments to the latest evidence and opinions on Covid-19 (C19), to inform and support their responses. Based on feedback from the recent survey, and analysis by the Xcept project, this edition, as a trial, focusses less on the challenges that C19 poses, and more on more on the policy responses to these challenges. The below summary features resources on legislative leadership during the C19 crisis; and the heightening of risks emanating from C19’s indirect impacts – including non-C19 healthcare, economy and food security, and women and girls and unrest and instability. Many of the core C19 themes continue to be covered this week, including anti-corruption approaches; and whether and how C19 is shaping conflict dynamics (this time with articles focussing on Northwestern Nigeria, Myanmar’s Rakhine State, and the Middle East). The summary uses two main sections – (1) literature: – this includes policy papers, academic articles, and long-form articles that go deeper than the typical blog; and (2) blogs & news articles. It is the result of one day of work and is thus indicative but not comprehensive of all issues or publications.
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Berkman, Nancy D., Eva Chang, Julie Seibert, Rania Ali, Deborah Porterfield, Linda Jiang, Roberta Wines, Caroline Rains, and Meera Viswanathan. Management of High-Need, High-Cost Patients: A “Best Fit” Framework Synthesis, Realist Review, and Systematic Review. Agency for Healthcare Research and Quality (AHRQ), October 2021. http://dx.doi.org/10.23970/ahrqepccer246.

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Background. In the United States, patients referred to as high-need, high-cost (HNHC) constitute a very small percentage of the patient population but account for a disproportionally high level of healthcare use and cost. Payers, health systems, and providers would like to improve the quality of care and health outcomes for HNHC patients and reduce their costly use of potentially preventable or modifiable healthcare services, including emergency department (ED) and hospital visits. Methods. We assessed evidence of criteria that identify HNHC patients (best fit framework synthesis); developed program theories on the relationship among contexts, mechanisms, and outcomes of interventions intended to change HNHC patient behaviors (realist review); and assessed the effectiveness of interventions (systematic review). We searched databases, gray literature, and other sources for evidence available from January 1, 2000, to March 4, 2021. We included quantitative and qualitative studies of HNHC patients (high healthcare use or cost) age 18 and over who received intervention services in a variety of settings. Results. We included 110 studies (117 articles). Consistent with our best fit framework, characteristics associated with HNHC include patient chronic clinical conditions, behavioral health factors including depression and substance use disorder, and social risk factors including homelessness and poverty. We also identified prior healthcare use and race as important predictors. We found limited evidence of approaches for distinguishing potentially preventable or modifiable high use from all high use. To understand how and why interventions work, we developed three program theories in our realist review that explain (1) targeting HNHC patients, (2) engaging HNHC patients, and (3) engaging care providers in these interventions. Theories identify the need for individualizing and tailoring services for HNHC patients and the importance of building trusting relationships. For our systematic review, we categorized evidence based on primary setting. We found that ED-, primary care–, and home-based care models result in reduced use of healthcare services (moderate to low strength of evidence [SOE]); ED, ambulatory intensive caring unit, and primary care-based models result in reduced costs (low SOE); and system-level transformation and telephonic/mail models do not result in changes in use or costs (low SOE). Conclusions. Patient characteristics can be used to identify patients who are potentially HNHC. Evidence focusing specifically on potentially preventable or modifiable high use was limited. Based on our program theories, we conclude that individualized and tailored patient engagement and resources to support care providers are critical to the success of interventions. Although we found evidence of intervention effectiveness in relation to cost and use, the studies identified in this review reported little information for determining why individual programs work, for whom, and when.
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Steinmann, Peter. Do interventions for educating traditional healers about STDs and HIV improve their knowledge and behaviour? SUPPORT, 2017. http://dx.doi.org/10.30846/170409.

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Traditional healers are important healthcare providers in a number of societies for a variety of healthcare concerns, including sexually transmitted diseases (STDs) and HIV. However, some traditional healing practices are risk factors for HIV infection, such as male circumcision using unsterilized equipment. The provision of training for traditional healers about STDs, HIV and evidence based medicine is seen as a way to improve their knowledge, reduce risk behaviours, and improve acceptance of and collaboration with formal health services. Training could also increase referrals to the formal health services.
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Gathu, Michael. What are the effects of interventions to encourage the use of systematic reviews in clinical decision making? SUPPORT, 2017. http://dx.doi.org/10.30846/170111.

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Clinical decision making is often not based on the best available evidence. Reasons for this vary, and may be related to factors within the healthcare setting, patients, or health practitioners. Interventions have been designed to encourage the use of systematic reviews in making clinical decisions as one way of improving clinical decision making.
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Anderson, Kristy A., Anne M. Roux, Hillary Steinberg, Tamara Garfield, Jessica E. Rast, Paul T. Shattuck, and Lindsay L. Shea. The Intersection of National Autism Indicators Report: Autism, Health, Poverty and Racial Inequity. A.J. Drexel Autism Institute, April 2022. http://dx.doi.org/10.17918/nairintersection2022.

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This report examines the following two questions: 1) do income-based differences in health and health care outcomes look the same for children with and without autism? and 2) do income-based differences in health and health care outcomes look the same for BIPOC (Black, Indigenous, and People of Color) children with autism and white children with autism? Examining the health and healthcare outcomes of children with autism in combination with other social characteristics offers several advantages. First, we can illuminate how demographics alone, and in combination with other social characteristics of children, are associated with differences in the rates of health and healthcare outcomes they experience. Second, it increases our understanding of the health-related experiences of social groups who are often neglected in research. Third, it provides current and comprehensive evidence on how children with autism experience relative disadvantages related to social determinants of health, which are aspects of the environment that affect health, functioning, and quality-of-life outcomes and risks.
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McDonagh, Marian S., Jesse Wagner, Azrah Y. Ahmed, Benjamin Morasco, Devan Kansagara, and Roger Chou. Living Systematic Review on Cannabis and Other Plant-Based Treatments for Chronic Pain: May 2021 Update. Agency for Healthcare Research and Quality (AHRQ), June 2021. http://dx.doi.org/10.23970/ahrqepccerplantpain3.

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Overview This is the third quarterly progress report for an ongoing living systematic review on cannabis and other plant-based treatments for chronic pain. The first progress report was published in January 2021 and the second in March 2021. The draft systematic review was available for public comment from May 19 through June 15, 2021, on the Agency for Healthcare Research and Quality (AHRQ) Effective Health Care website. The systematic review synthesizes evidence on the benefits and harms of plant-based compounds (PBCs), such as cannabinoids and kratom, used to treat chronic pain, addressing concerns about severe adverse effects, abuse, misuse, dependence, and addiction. The purpose of this progress report is to describe the cumulative literature identified thus far. This report will be periodically updated with new studies as they are published and identified, culminating in an annual systematic review that provides a synthesis of the accumulated evidence. Main Points In patients with chronic (mainly neuropathic) pain with short-term treatment (4 weeks to <6 months): • Studies of cannabis-related products were grouped based on their tetrahydrocannabinol (THC) to cannabidiol (CBD) ratio using the following categories: high THC to CBD, comparable THC to CBD, and low THC to CBD. • Comparable THC to CBD ratio oral spray is probably associated with small improvements in pain severity and may be associated with small improvements in function. There was no effect in pain interference or serious adverse events. There may be a large increased risk of dizziness and sedation, and a moderate increased risk of nausea. • Synthetic THC (high THC to CBD) may be associated with moderate improvement in pain severity and increased risk of sedation, and large increased risk of nausea. Synthetic THC is probably associated with a large increased risk of dizziness. • Extracted whole-plant high THC to CBD ratio products may be associated with large increases in risk of withdrawal due to adverse events and dizziness. • Evidence on whole-plant cannabis, low THC to CBD ratio products (topical CBD), other cannabinoids (cannabidivarin), and comparisons with other active interventions was insufficient to draw conclusions. • Other key adverse event outcomes (psychosis, cannabis use disorder, cognitive deficits) and outcomes on the impact on opioid use were not reported. • No evidence on other plant-based compounds, such as kratom, met criteria for this review.
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