Dissertations / Theses on the topic 'Intensive Care'
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Hammond, Janet Margaret Justine. "Nosocomial infections in intensive care." Master's thesis, University of Cape Town, 1993. http://hdl.handle.net/11427/26477.
Full textWhitfield, Karen M. "Sedation in paediatric intensive care." Thesis, Aston University, 2002. http://publications.aston.ac.uk/11055/.
Full textVetcho, Siriporn. "Family-Centred Care Within Thai Neonatal Intensive Care." Thesis, Griffith University, 2022. http://hdl.handle.net/10072/417298.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Nursing & Midwifery
Griffith Health
Full Text
Goldsborough, Jennifer. "Palliative Care Integration in the Intensive Care Unit." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4787.
Full text郭子琪 and Chi-ki Priscilla Kwok. "Nurse-controlled intensive insulin infusion in adult intensive care unit." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40720858.
Full textKwok, Chi-ki Priscilla. "Nurse-controlled intensive insulin infusion in adult intensive care unit." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40720858.
Full textBasu, Priyam. "WIRELESS COMMUNICATION FOR HOME CARE AND HOSPITAL INTENSIVE CARE." Master's thesis, Temple University Libraries, 2013. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/216512.
Full textM.S.
Many emerging and existing medical applications can benefit from having continuous access to the patients vitals. This paper presents the results of a set of experiments conducted in a medical setting to determine the feasibility of using wireless communication in both home care and hospital intensive care environments. The study is also done with the intention of developing a new wireless protocol for use in medical settings. This protocol will later be incorporated into different medical devices operating inside a patient room with a view that significant performance improvements should be observed.
Temple University--Theses
Stadd, Karen. "Initiating Kangaroo Care in the Neonatal Intensive Care Unit." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5267.
Full textDunbar, Pervell Velethia. "Nursing Care of Terminal patients in Intensive Care Units." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1379.
Full textSoh, Kim Lam. "Improving health outcomes by preventing intensive care related infection in Malaysia Intensive Care Unit (INVEST study)." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/996.
Full textGolberg, Maria Grace. "Uncertainty, fathering in neonatal intensive care." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ40151.pdf.
Full textKowalczyk, Ruth Helen. "The effective management of intensive care." Thesis, Lancaster University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404259.
Full textAmos, R. J. "Megaloblastosis in patients receiving intensive care." Thesis, University of Cambridge, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595491.
Full textAdomat, ReneeÌ. "Measuring nursing workload in intensive care." Thesis, University of Birmingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397781.
Full textScorgie, Katrina Ann. "Novel adsorbents in intensive care medicine." Thesis, University of Brighton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343608.
Full textRoy, Amanda Jane. "Renal function in intensive care patients." Thesis, University of Liverpool, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386868.
Full textAlexandersson, Katrine. "Intensive care : The significance of gender." Thesis, Högskolan i Borås, Institutionen för Vårdvetenskap, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19593.
Full textProgram: Specialistsjuksköterskeutbildning med inriktning mot intensivvård
Goldhill, David Raymond. "Identifying priorities in intensive care : a description of a system for collecting intensive care data, an analysis of the data collected, a critique of aspects of severity scoring systems used to compare intensive care outcome, identification of priorities in intensive care and proposals to improve outcome for intensive care patients." Thesis, Queen Mary, University of London, 1999. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1405.
Full textYlipalosaari, P. (Pekka). "Infections in intensive care; epidemiology and outcome." Doctoral thesis, University of Oulu, 2007. http://urn.fi/urn:isbn:9789514284489.
Full textStanculescu, Ioan Anton. "Dynamical models for neonatal intensive care monitoring." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/15886.
Full textSmith, Sarah, and Sarah Smith. "Compassion Fatigue Among Rural Intensive Care Nurses." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626635.
Full textCronqvist, Agneta. "The moral enterprise in intensive care nursing." Doctoral thesis, Stockholm, 2004. http://diss.kib.ki.se/2004/91-7349-942-0/.
Full textSaab, Emile. "A database for an intensive care unit." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23376.
Full textThis thesis presents a database design that allows abstract definition of data types, and offers a unified view of data during the development phase, distinct levels of data management and a higher degree of system flexibility. This database model is an implementation of a database for a Patient Data Management System (PDMS) developed for use in the ICU of the Montreal Children's Hospital. The PDMS has a variety of application modules that handle and process various types of data according to functionality requirements.
Quinn, John. "Bayesian condition monitoring in neonatal intensive care." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/2144.
Full textPrice-Lloyd, Naomi. "Stochastic models for an intensive care unit." Thesis, Cardiff University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434007.
Full textBASTOS, LEONARDO DOS SANTOS LOURENCO. "ANALYSIS OF PERFORMANCE IN INTENSIVE CARE UNITS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35727@1.
Full textCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
A Unidade de Terapia Intensiva (UTI) é um departamento importante dentro do Hospital visto que lida majoritariamente com casos de alta complexidade e gera elevados custos administrativos, o que requer um controle adequado de seus processos. Inconformidades tais como erros em atividades de tratamento e falta de comunicação entre os funcionários são comumente responsáveis pelo baixo desempenho de UTIs e devem ser ajustados para reduzir possíveis danos ao tratamento do paciente. Para avaliar a eficiência de uma UTI, a literatura propõe que sejam estabelecidas métricas que considerem quatro perspectivas - médica ou clínica, econômica, social e institucional – que oferecem uma visão abrangente das atividades (administrativas ou de tratamento) dentro da unidade e seus impactos no pós-tratamento. Entretanto, a avaliação de desempenho em uma UTI não é uma tarefa simples, pois há diversas variáveis a serem consideradas e que podem ser potenciais causas de um mau desempenho. Além disso, não há uma métrica ou indicador padrão-ouro que consegue reter de forma adequadas as informações, sendo que diversas perspectivas devem ser consideradas. Os indicadores mais comuns são A Taxa de Mortalidade Padronizada (Standardized Mortality Ratio, SMR) e o Taxa de Uso de Rescursos Padronizada (Standardized Resource Use, SRU), que contabilizam desfechos de mortalidade (clínicos) e de uso de recursos (econômicos), junto de metodologias propostas para viabilizar a comparação entre diferentes UTIs, identificar de grupos de desempenho e analisar os riscos de mortalidade dos pacientes dentro da unidade, tais como os conceitos de Rankability e Perfis de Risco (Risk Profiles). Além disso, é necessário definir corretamente os desfechos a serem contabilizados em indicadores. Nesse contexto, recomenda-se a combinação de diferentes indicadores e metodologias de forma a complementar e elevar a confiabilidade da análise de desempenho e benchmarking. Com isso, este estudo tem como objetivo analisar um conjunto de UTIs em termos de desempenho quanto à mortalidade e uso de recursos, associando-os com as características das unidades e seus fatores institucionais, para identificar possíveis correlações. A análise foi feita em uma amostra composta por 12.100 pacientes que foram hospitalizados em 116 UTIs, considerando um desfecho em até 60 dias de interação. Este estudo teve como contribuição a combinação de diferentes técnicas e indicadores, e uma discussão a respeito da variabilidade do SMR em comparação à metodologia tradicional. Para este propósito, combinou-se as técnicas da Matriz de Eficiência, Rankability – índice de confiabilidade de um indicador de desfecho, e Perfis de Risco, de forma a obter e avaliar o desempenho de grupos de UTIs. Como resultados, verificou-se que UTIs cuja administração é de domínio Público e que destinam a maioria dos seus leitos ao Sistema Único de Saúde (SUS) brasileiro tiveram mortalidade significativamente alta em relação àquelas de dominínio privado (p-valor menor que 0.05). Além disso, realizou-se um agrupamento das UTIs utilizando quatro diferentes técnicas de clusterização de forma a garantir a máxima confiabilidade do indicador para comparação (Rankability), o que resultou na presença de clusters extremos contendo uma UTI cada, sendo elas a de maior e a de menor SMR, apesar de ambas apresentarem o mesmo conjunto de severidades. Para cada grupo, estimou-se o seu perfil de risco, e verificou-se que pacientes com menor gravidade apresentaram maior variabilidade nos riscos de morte, sendo estes maiores nos grupos com alto SMR e menores em grupos de menor mortalidade, sendo que a dispersão tendeu a ser menor quanto menor for o risco, o que poderia influenciar diretamente no cálculo do SMR. Com isso, por meio de equações matemáticas e simulação por meio de reamostragem, verificou-se que o SMR possui uma limitação em sua escala, que depende diretamente do espectro de gravidade dos pacientes em cada UTI ou grupo de desempenho analisado. O S
Intensive Care Unit (ICU) is an important department within a hospital since it deals mostly with complex cases and it generates the highest amount of costs, thus requiring adequate control on its care treatments. Nonconformities such as poor communication and treatment errors are commonly responsible for a bad performance in ICUs. However, evaluating the performance of an ICU is not an easy task and there are no gold-standard indicators. The most common metrics are the Standardized Mortality Ratio (SMR) and the Standardized Resource Use (SRU), which measure mortality and resource utilization, respectively. Hence, this study aims to analyze different ICUs in terms of mortality, resource use, and institutional factors, combining the methods Efficiency Chart, Rankability and Risk Profile. The analysis was performed considering a total of 12,100 patients in 116 ICUs provided by a clinical trial study. As results, it was verified that most ICUs were from hospitals with public administration (47.41 per cent), which had significantly high lethality rate compared to private hospitals. Four different clustering approaches were tested, which identified similar case-mixes between the best and lower performance groups of ICUs, and a high variability in expected risks for low severity patients. Using a resampling approach, it was evidenced that the mortality indicator varies strongly on low-risk groups of patients, while high-risk patients had a smaller range of SMR values, which may lead to biased conclusions when comparing ICUs with similar mortality and different case-mixes.
Kshetri, Kanak Bikram. "Modelling patient states in intensive care patients." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76985.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 71-74).
Extensive bedside monitoring in hospital Intensive Care Units (ICU) has resulted in a deluge of information on patient physiology. Consequently, clinical decision makers have to reason with data that is simultaneously large and high-dimensional. Mechanisms to compress these datasets while retaining their salient features are in great need. Previous work in this area has focused exclusively on supervised models to predict specific hazardous outcomes like mortality. These models, while effective, are highly specific and do not generalize easily to other outcomes. This research describes the use of non-parametric unsupervised learning to discover abstract patient states that summarize a patient's physiology. The resulting model focuses on grouping physiologically similar patients instead of predicting particular outcomes. This type of cluster analysis has traditionally been done in small, low-dimensional, error-free datasets. Since our real-world clinical dataset affords none of these luxuries, we describe the engineering required to perform the analysis on a large, high-dimensional, sparse, noisy and mixed dataset. The discovered groups showed cohesiveness, isolation and correspondence to natural groupings. These groups were also tested for enrichment towards survival, Glasgow Coma Scale values and critical heart rate events. In each case, we found groups which were enriched and depleted towards those outcomes.
by Kanak Bikram Kshetri.
M.Eng.
Mulholland, Hilary G. (Hilary Grace). "Understanding lactate in an intensive care setting." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100638.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 73-74).
We investigated the relationship between initial lactate levels and ICU patient outcomes using the MIMIC II (version 2.6) database. We divided ICU admissions based on their initial lactate measurement into three groups: admissions with high lactate (above 4.0 mmol/L), admissions with medium lactate (between 2.0 mmol/L and 4.0 mmol/L), and admissions with low lactate (below 2.0 mmol/L). In addition to the ICU population as a whole, we studied sepsis patients using three different criteria (Martin, Angus, and infection with SIRS). We found that increased lactate levels were associated with a higher ICU mortality, higher 30 day mortality, longer ICU length of stay, and higher SOFA and SAPS I severity scores in all ICU admissions and in all three sepsis cohorts. Sepsis patients with high initial lactate levels were the most severely ill of all the patient populations. Sepsis patients identified with the Martin criteria who had high lactate levels had the worst outcomes of the three sepsis cohorts, but had similar average severity scores. This suggests that knowing lactate levels may give predictive value in addition to severity scores. We also investigated the relationship between initial lactate, change in lactate from the first measurement to the second measurement, and ICU mortality. We found that patients with high initial lactate levels in combination with an increase in lactate level typically had poorer outcomes than patients with high initial lactate levels with a decrease in lactate level.
by Hilary G. Mulholland.
M. Eng. in Computer Science and Molecular Biology
Zeilani, Ruqayya Sayed Ali. "Experiencing intensive care : women's voices in Jordan." Thesis, University of Nottingham, 2008. http://eprints.nottingham.ac.uk/10483/.
Full textCrabb, Michael Geoffrey. "EIT reconstruction algorithms for respiratory intensive care." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/eit-reconstruction-algorithms-for-respiratory-intensive-care(99acd0b5-992e-4b84-9dbc-8b34204cd0b7).html.
Full textBaker, Lawrence S. M. (Lawrence M. )Massachusetts Institute of Technology. "Characterisation of glucose management in intensive care." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/124577.
Full textThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 121-130).
Patients in intensive care routinely have their blood glucose monitored and controlled using insulin. Two decades of on-going research has attempted to establish optimal glucose targets and treatment policy for patients with hyperglycemia in the intensive care unit (ICU). These efforts rely on the assumption that health care providers can reliably meet given targets. Significant proportions of the ICU population are either hypoglycemic or hyperglycemic and poor blood glucose control may lead to adverse patient outcomes. This thesis analyses approximately 20,000 ICU stays at the Beth Israel Deaconess Medical Center (BIDMC) which occurred between 2008 and 2018. These data are used to describe the state of clinical practice in the ICU and identify areas where treatment may be suboptimal. Even at a world-renowned teaching hospital, blood sugars are not optimally managed. 41.8% of diabetics and 14.2% of non-diabetics are severely hyperglycemic (>215mg/dL) each day. Insulin boluses are given more frequently than insulin infusions, despite guidelines recommending infusions for most critical care patients. When infusions are given, rates do not follow a consistent set of rules. Blood sugar management faces several challenges, including unreliable readings. Laboratory and fingerstick measurements that were taken at the same time had an R² of only 0.63 and the fingerstick measurements read on average 10mg/dL higher. Overcoming these challenges is an important part of improving care in the ICU. It is hoped that publicly sharing the code used to extract and clean data used for analysis will encourage further research. Code can be found at https://github.com/lawbaker/MIMIC-Glucose-Management
by Lawrence Baker.
S.M. in Technology and Policy
S.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society
Sheikhalishahi, Seyedmostafa. "Machine learning applications in Intensive Care Unit." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/339274.
Full textStokes, Heather. "Intensive Care Nurses' Meaningful Experiences in Providing End-of-Life Care." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37224.
Full textTorres, Nicole Marie, and Nicole Marie Torres. "Palliative Care Utilization in the Intensive Care Unit: A Descriptive Study." Diss., The University of Arizona, 2018. http://hdl.handle.net/10150/626674.
Full textFerreira, Josà Hernevides Pontes. "Team perception of nursing care humanized in intensive care unit neonatal." Universidade Federal do CearÃ, 2016. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16481.
Full textHospitalization of the newborn is necessary when health conditions require immediate assistance for their recovery. Humanized actions in the neonatal unit have been developed in order to make it less painful separation parent-child when it needs technological support and team of trained professionals. It was aimed to analyze the perception and knowledge of the nursing team on the promotion of humanized care for newborn in a Neonatal Intensive Care Unit . It is a qualitative study conducted in a public hospital, large, tertiary level, in Fortaleza, Brazil, in the months October and November 2015, after approval by the Research Ethics Committee, under Protocol N. 1,191,339. The subjects were 14 nurses and 20 nursing technicians working in neonatal care. The data collected through semi-structured interviews consist identification data and five guiding issues that permeate the knowledge of the nursing team about the care and promotion of humanized care in the UTIN. In addition, we used no-participant observation and field diary. For analysis, we sought to Bardin technique that extracted the three categories lines: âTaking care of the human personâ, ânursing contributions to the humane careâ and âFactors that affect the quality of humanized care.â The results showed that the nursing team understands humanization as an indispensable element for the comprehensive care to the baby and family, which was observed from the speeches of welcome, restoring health and disease of the newborn process. The professionals had knowledge of the humanized care, played their actions conscious, oriented and appreciative way about the quality of neonatal care and parents who face the challenges inherent in the admission process. We conclude that the performance of these professionals permeates compliance with the regulations of the National Humanization Policy regarding humanized care to the newborn, family and neonatal ambience. It is believed that such actions minimize the impact caused by the characteristics of the disease treatment as well as stressors.
A hospitalizaÃÃo do recÃm-nascido faz-se necessÃria, quando as condiÃÃes de saÃde requerem assistÃncia imediata para o seu restabelecimento. As aÃÃes humanizadas na unidade neonatal tÃm sido desenvolvidas, a fim de tornar menos dolorosa à separaÃÃo pais-filho, quando este necessita de suporte tecnolÃgico e equipe de profissionais capacitados. Objetivou-se analisar a percepÃÃo e conhecimentos da equipe de enfermagem sobre a promoÃÃo do cuidado humanizado ao recÃm-nascido internado na Unidade de Terapia Intensiva Neonatal (UTIN). Trata-se de estudo qualitativo, realizado em hospital pÃblico, de grande porte, nÃvel terciÃrio, em Fortaleza-CE-Brasil, nos meses outubro e novembro de 2015, apÃs aprovaÃÃo pelo Comità de Ãtica em Pesquisa, sob Protocolo n 1.191.339. Os sujeitos foram 14 enfermeiros e 20 tÃcnicos de enfermagem atuantes na assistÃncia ao neonato. Os dados coletados, por meio de entrevista semiestruturada, consistem dados de identificaÃÃo e cinco questÃes norteadoras, que permeiam o conhecimento da equipe de enfermagem acerca do cuidado e a promoÃÃo da assistÃncia humanizada na UTIN. Ademais, utilizou-se observaÃÃo nÃo participante e diÃrio de campo. Para anÃlise, sÃntese e descriÃÃo, buscou-se a tÃcnica de Bardin, que se extraÃram das falas trÃs categorias: âCuidar do ser humanoâ, âContribuiÃÃes de enfermagem para o cuidado humanizadoâ e âFatores que interferem na qualidade do cuidado humanizadoâ. Os resultados revelaram que a equipe de enfermagem compreende a humanizaÃÃo como elemento indispensÃvel para o cuidado integral ao bebà e famÃlia, o que se observou desde as intervenÃÃes de acolhimento, ao restabelecimento do processo saÃde-doenÃa do neonato. Os profissionais apresentaram conhecimentos acerca do cuidado humanizado, desempenharam suas aÃÃes de forma consciente, orientada e sensibilizada, quanto à qualidade da assistÃncia ao neonato e aos pais que enfrentam os desafios inerentes ao processo de internaÃÃo. Percebe-se, portanto, que a atuaÃÃo desses profissionais permeia o cumprimento aos regulamentos da PolÃtica Nacional de HumanizaÃÃo. Conclui-se que o cuidado humanizado aplicado nessa ambiÃncia à essencial ao recÃm-nascido e famÃlia, uma vez que minimiza o impacto causado pelas caracterÃsticas da doenÃa, tratamento, bem como os fatores estressantes da UTIN.
Singleton, Alsy R. "Patient satisfaction with nursing care : a comparison analysis of critical care and medical units." Virtual Press, 1997. http://liblink.bsu.edu/uhtbin/catkey/1061875.
Full textSchool of Nursing
Nathan, Lisa. "Noise levels in a neonatal intensive care unit in the Cape Metropole." Thesis, Stellenbosch : University of Stellenbosch, 2007. http://hdl.handle.net/10019.1/2339.
Full textNoise is a noxious stimulus with possible negative physiological effects on the infant, especially in the Neonatal Intensive Care Unit (NICU). The present study conducted a detailed noise assessment in a NICU of a state hospital in the Cape Metropole and documented 6 infants’ physiological responses to noise levels. Noise levels ranged from 62.3-66.7dBA (LAeq), which exceed all American and British standards (50dBA -60dBA) for a NICU. Continuous exposure to noise of these levels is potentially harmful to the infants’ auditory system and health stability. The general well-being of the staff working in the NICU may also be compromised. Analysis of the noise events revealed that staff conversations were the largest single contributor to the number of noise events, while the largest single non-human contributor was the alarm noise of the monitors. No significant correlations were found between the heart rates and noise levels and the respiratory rates and the noise levels for any of the participants in either room. The NICU was found to be an extremely reverberant environment, which suggested that the NICU noise levels were largely a result of reverberant noise reinforcements. NICU nursing staff’s most common suggestion for noise abatement strategies was reduction of staff conversation. Results of this study highlight the need for NICU noise abatement to optimise newborn patient care, reduce the risk of acoustic trauma and to improve the neonate’s quality of life, thus enhancing the infant’s physiologic stability, growth and health.
Llano-Diez, Monica. "Mechanisms Underlying Intensive Care Unit Muscle Wasting : Intervention Strategies in an Experimental Animal Model and in Intensive Care Unit Patients." Doctoral thesis, Uppsala universitet, Klinisk neurofysiologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-173466.
Full textYon, Lauren T. "Integrating mobility into the plan of care in the intensive care unit." Honors in the Major Thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1341.
Full textBachelors
Nursing
Nursing
Wallace, Amanda. "Effects of Telemedicine in the Intensive Care Unit on Quality of Care." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1612.
Full textKallio, M. (Merja). "Neurally adjusted ventilatory assist in pediatric intensive care." Doctoral thesis, Oulun yliopisto, 2014. http://urn.fi/urn:isbn:9789526206349.
Full textTiivistelmä Nykyisin käytössä olevat menetelmät lasten hengityskonehoidossa perustuvat suurelta osin aikuisilla tehtyihin tutkimuksiin ja totuttuihin tapoihin, sillä lasten hengityskonehoidosta on olemassa vain vähän tutkittua tietoa. Hengityskonehoidon aiheuttamaa keuhkovauriota pyritään ehkäisemään välttämällä suuria kertahengitystilavuuksia, tukemalla potilaan omia hengityksiä ja säilyttämällä ilmateissä positiivinen paine uloshengityksen aikanakin. Neuraalisesti ohjattu ventilaatio (NAVA) on uusi hengityskonehoitomuoto, joka tukee potilaan omia hengityksiä ohjaamalla koneen antamaa tukea pallealihaksen sähköisen signaalin avulla. Tämän tutkimuksen tavoitteena oli selvittää lasten hengityskonehoidon nykytilaa Suomessa sekä tutkia, voidaanko NAVAa käyttämällä parantaa hoidon laatua ja turvallisuutta. Nykyisiä hoitokäytäntöjä selvitettiin vuonna 2010 kysely- ja seurantatutkimuksella, johon kutsuttiin mukaan kaikki Suomessa lapsia ja vastasyntyneitä hoitavat tehohoito-osastot. NAVAa verrattiin nykyiseen hengityskonehoitoon 18 potilaan vaihtovuoroisessa tutkimuksessa sekä suuremmassa 170 lapsipotilaan satunnaistetussa kontrolloidussa tutkimuksessa. Eri syistä johtuvat hengitysvaikeudet ovat yleisin syy hengityskonehoitoon vastasyntyneillä ja suurten leikkausten jälkeinen hoito isommilla lapsilla. Keuhkoja säästävän hoidon periaatteet ovat Suomessa yleisesti hyväksyttyjä ja toteutuvat valtaosassa hoitojaksoja. Hengityskonehoitojaksojen määrän vähäisyys puoltaa hoidon keskittämistä suuriin sairaaloihin. NAVAa käyttämällä hengityskoneen antama tuki ajoittuu paremmin potilaan omien hengitysten mukaan ja sen avulla saavutetaan matalammat ilmatiepaineet sekä vähäisempi lisähapen tarve. Pitkissä hoitojaksoissa NAVA vähentää rauhoittavan lääkityksen tarvetta, ja pallealihaksen signaalia seuraamalla on mahdollista optimoida sedaatioaste aikaisempaa tarkemmin. Palleasignaalia voidaan myös hyödyntää arvioitaessa potilaan valmiutta hengitystuesta vieroittamiseen
Rashotte, Judith Mary. "Pediatric intensive care nurses and their grief experiences." Thesis, University of Ottawa (Canada), 1996. http://hdl.handle.net/10393/10425.
Full textCunningham, Steven. "Computerised physiological trend monitoring in neonatal intensive care." Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/26422.
Full textAgvald-Öhman, Christina. "Colonization, infection and dissemination in intensive care patients /." Stockholm : Karolinska institutet, 2007. http://diss.kib.ki.se/2007/978-91-7357-075-6/.
Full textWolak, Eric S. "Perceptions of an intensive care unit mentorship program." Greensboro, N.C. : University of North Carolina at Greensboro, 2007. http://libres.uncg.edu/edocs/etd/1492Wolak/umi-uncg-1492.pdf.
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