Academic literature on the topic 'Multiple Sclerosis, decision making, pregnancy'
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Journal articles on the topic "Multiple Sclerosis, decision making, pregnancy"
Portaccio, Emilio, Lucia Moiola, Vittorio Martinelli, Pietro Annovazzi, Angelo Ghezzi, Mauro Zaffaroni, Roberta Lanzillo, et al. "Pregnancy decision-making in women with multiple sclerosis treated with natalizumab." Neurology 90, no. 10 (February 7, 2018): e832-e839. http://dx.doi.org/10.1212/wnl.0000000000005068.
Full textAlwan, Sura, Magdalena Dybalski, Irene M. Yee, Talitha M. Greenwood, Elaine Roger, Nancy Nadeau, Pierre Duquette, and A. Dessa Sadovnick. "Multiple Sclerosis and Pregnancy: A Comparison Study." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 40, no. 4 (July 2013): 590–96. http://dx.doi.org/10.1017/s0317167100014724.
Full textPortaccio, Emilio, Pietro Annovazzi, Angelo Ghezzi, Mauro Zaffaroni, Lucia Moiola, Vittorio Martinelli, Roberta Lanzillo, et al. "Pregnancy decision-making in women with multiple sclerosis treated with natalizumab." Neurology 90, no. 10 (February 7, 2018): e823-e831. http://dx.doi.org/10.1212/wnl.0000000000005067.
Full textPrunty, M., L. Sharpe, P. Butow, and G. Fulcher. "The motherhood choice: Themes arising in the decision-making process for women with multiple sclerosis." Multiple Sclerosis Journal 14, no. 5 (June 2008): 701–4. http://dx.doi.org/10.1177/1352458507086103.
Full textAlwan, S., IM Yee, M. Dybalski, C. Guimond, E. Dwosh, TM Greenwood, R. Butler, and AD Sadovnick. "Reproductive decision making after the diagnosis of multiple sclerosis (MS)." Multiple Sclerosis Journal 19, no. 3 (July 3, 2012): 351–58. http://dx.doi.org/10.1177/1352458512452920.
Full textWilkie, David Daniel, Alessandra Solari, and Richard St John Nicholas. "The impact of the face-to-face consultation on decisional conflict in complex decision-making in multiple sclerosis: A pilot study." Multiple Sclerosis Journal - Experimental, Translational and Clinical 6, no. 4 (October 2020): 205521732095980. http://dx.doi.org/10.1177/2055217320959802.
Full textLewis, Ariane, and Steven Galetta. "Editors' note: Pregnancy decision-making in women with multiple sclerosis treated with natalizumab: I: Fetal risks." Neurology 91, no. 18 (October 29, 2018): 849.1–849. http://dx.doi.org/10.1212/wnl.0000000000006421.
Full textProschmann, Undine, Katja Akgün, and Tjalf Ziemssen. "Reader response: Pregnancy decision-making in women with multiple sclerosis treated with natalizumab: I: Fetal risks." Neurology 91, no. 18 (October 29, 2018): 849.2–850. http://dx.doi.org/10.1212/wnl.0000000000006422.
Full textSotgiu, Stefano, Anna Eusebi, Chiara Begliuomini, Franca R. Guerini, and Alessandra Carta. "Reader response: Pregnancy decision-making in women with multiple sclerosis treated with natalizumab: I: Fetal risks." Neurology 91, no. 18 (October 29, 2018): 850. http://dx.doi.org/10.1212/wnl.0000000000006429.
Full textPortaccio, Emilio, and Maria Pia Amato. "Author response: Pregnancy decision-making in women with multiple sclerosis treated with natalizumab: I: Fetal risks." Neurology 91, no. 18 (October 29, 2018): 851. http://dx.doi.org/10.1212/wnl.0000000000006430.
Full textDissertations / Theses on the topic "Multiple Sclerosis, decision making, pregnancy"
SPONIAR, MARTINE CLAIRE. "THE MOTHERHOOD CHOICE: DEVELOPMENT AND EVALUATION OF A DECISION AID FOR WOMEN WITH MULTIPLE SCLEROSIS." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/2246.
Full textSPONIAR, MARTINE CLAIRE. "THE MOTHERHOOD CHOICE: DEVELOPMENT AND EVALUATION OF A DECISION AID FOR WOMEN WITH MULTIPLE SCLEROSIS." University of Sydney, 2007. http://hdl.handle.net/2123/2246.
Full textMultiple sclerosis (MS) is the most common neurological disease affecting young adults. MS affects approximately 1 in 1000 people and, like other autoimmune diseases, women are more likely to be affected than men. The illness typically onsets between the ages of 20 and 40, and hence usually affects women of child-bearing age. The course of the MS is often unclear for years after diagnosis and since most women are diagnosed in their child-bearing years, they often have to make reproductive choices before their prognosis is clear and while the future remains uncertain. For women with MS, starting a family is an individual choice that needs to balance the importance of motherhood for the woman and her partner against the risks that she will be unable to care for the infant or child as a result of increasing disability. In other areas of medicine where finely balanced decisions are required, there has been a recent proliferation of decision aids that aim to inform people of the benefits and risks of opposing courses of action. In addition, decision aids help patients to weigh their values against the risks and benefits to make an informed decision. Despite the existence of over 200 decision aids to help patients consider decisions related to their medical conditions, not one exists that deals with the decision of whether or not to have a family for women with a chronic disability, such as MS. This thesis developed and evaluated a decision aid for women with MS to help them decide whether to start, forego or enlarge their families. The study utilised the criteria set out for the development of decision aids, according to the Cochrane Systematic Review of Patient Decision Aids (O'Connor et al., 2003). The first aim was to determine the proportion of women who are undecided about the motherhood choice and for whom a decision aid may be relevant. Results found that the motherhood choice was relevant to 46% of the women who responded to an initial mail-out. The second study aimed to establish women’s current concerns and thoughts regarding pregnancy and motherhood, and their response to the pilot decision aid. Twenty women participated in qualitative interviews and results supported previous findings that the mother’s health concerns, coping with parenting and societal attitudes are significant concerns when considering this decision. This study further identified concerns from different groups that had a direct impact on the decision to have children, including the experience of parenting, the child’s well-being and the timing and pressure of the decision. The main study was a randomised controlled trial of the decision aid aiming to determine whether the decision aid facilitated decision-making in women with MS. The study confirmed that the decision aid presented a balanced view to women, increased knowledge, reduced decisional conflict, increased decisional self-efficacy and certainty of the decision, and was free from adverse effects on psychopathology. The final component of the study was a 12 month follow-up which aimed to explore the long-term effectiveness of the decision aid and what aspects were valued by the women who received it. It was found that over time, women in the intervention group did maintain their certainty, but women in the control group also became more certain of their choice. At follow-up, the difference in certainty was no longer significant between the two groups. However, women did report that the intervention was useful in (a) providing access to information previously unavailable or difficult to obtain, (b) facilitating communication between women, their partners and health care professionals, (c) aiding them in considering and utilising their networks of support, and (d) preparing them for potential difficulties. In summary, this thesis developed and evaluated a decision aid for women with MS who are considering motherhood. The results showed that many women were undecided and, in the absence of good information on the topic, many women had concerns about pregnancy and parenthood. The decision aid was shown to be effective across a range of measures and free from adverse psychological effects. Hence, this is evidence-based resource can now be recommended for those women with MS who are currently contemplating motherhood.
Asare, Irene, and Yvonne Hansson. "Beslutsfattande och copingstrategier kring graviditet och föräldraskap hos personer med Multipel Skleros : En litteraturstudie." Thesis, Högskolan i Gävle, Akademin för hälsa och arbetsliv, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-8643.
Full textThe purpose of this study was to describe the factors and coping strategies that influence/impact on people with MS in decision making about pregnancy and parenthood. Also, to describe which quality the studies had. The authors used a method of descriptive design where the search of articles was made in PubMed (Medline). The search resulted in 13 scientific articles from five countries by both qualitative and quantitative approach, published between the years 1999-2010. The results showed that the critical factors that influence decision-making process was inconsistent information, concerns and fears about how pregnancy affects MS, the need for support from others, children's and women's wellbeing and society's attitudes. Coping strategies used in decision-making process included prayer and positive thinking. For moms with MS, the family was a strong reason to struggle in their daily lives and they expressed a need for understanding and confirmation of medical personnel. Mothers often had to plan and organize their daily life in order to spare energy, and they often used child-focused activities to entertain or distract the child. Studies in these fields were of relatively high quality. The conclusion is that women with MS who are planning pregnancy need support and clear information to facilitate the difficult decision and reduce their anxiety.
Lippa, Katherine Domjan. "Cognition of Shared Decision Making: The Case of Multiple Sclerosis." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1463576554.
Full textEccles, Abigail. "An exploration of the information and decision support needs of people with Multiple Sclerosis." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:ffcb33fe-5d5c-4e85-b88d-a05ef0f5dd39.
Full textPoschwatta, Barbara. "Ausgewählte Aspekte von Lebenssituation und medizinischer Versorgung Multiple Sklerose Betroffener in Deutschland." Doctoral thesis, Humboldt-Universität zu Berlin, Medizinische Fakultät - Universitätsklinikum Charité, 2005. http://dx.doi.org/10.18452/15247.
Full textIn a representative study 1219 people with multiple sclerosis in Germany were asked about the impacts of multiple sclerosis on their living situation and their estimation of the medical supply. Main topics were: social impacts, perception of the disease, coping with everyday life, quality of life, patient information, doctor-patient-relationship, shared decision making and the ACT programme as tool in the medical supply. Negative impacts on all analysed areas of the living situation could be proved, but the estimation differs in dependence on the specific living situation and the personality. Unlike the physical disability isn''t a predictor of the individual estimation of the impact. People with multiple sclerosis get their main support by relatives and friends. Professional services are rarely used in relation to the aid by the individual social environment. People with multiple sclerosis have very high expectations on the medical supply. The estimation of the situation is relatively negative if the people are more critical as well as if they have a great need for autonomy. The interrogated people with multiple sclerosis use basically and for their therapy decision mostly objective, medical information. Most of them use subjective knowledge based on experiences only additionally. Medical supply should be optimised by better integrating people with multiple sclerosis who are more critical or self confident as well as better informed. Usability and access of the existing offers to inform, support and counsel people with multiple sclerosis have to be improved.
Souza, Luciana Ferreira de. "Desenvolvimento de sistema de informação para monitoramento da esclerose múltipla." Universidade Federal da Paraíba, 2017. http://tede.biblioteca.ufpb.br:8080/handle/tede/9053.
Full textMade available in DSpace on 2017-07-06T11:26:20Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2621152 bytes, checksum: e02a372dc50ca8879df71843cf79f718 (MD5) Previous issue date: 2017-02-22
In the last decades, several countries have directed their actions to the incorporation of innovative technologies, applied in the health field, with the purpose of assisting the performance of professionals and users in the promotion of care, strengthened by public policies. In this context, there is a shortage of technological resources, aimed at comprehensive and multidisciplinary care, directed to patients with Multiple Sclerosis, especially of systems that support decision-making, in the follow-up of this clients, in Reference Centers belonging to the Unified Health System (SUS), this study aims to develop an information system (software prototype) to the monitoring of clinical parameters, indicative of impairment of the functionality of individuals with Multiple Sclerosis. This is a methodological study, of the type applied, involving the production of technology, composed by the stage of the software development process followed by the step of applying the decision tree model. The development of the software prototype followed the steps of the generic software engineering process presented by Pressman, which are: Communication, planning, modeling, construction and delivery. Modeling and prototyping took place from January to September 2016, along with the construction of the prototype's working flow diagram and interfaces. The flowchart was built in the Unified Modeling Language (UML) with the aid of the JUDE tool. The system was developed in PHP (Hipertext Processor) language, which is a script open source language, widely used, and is especially suitable for web development. Therefore, was used a Framework PHP (Laravel 5.2 Open Source), the MySQL as a database technology, and for the development of the screens HTML5, CSS3 and JQUERY were used. For the application of the decision tree model, was used the variables of the 50 patients enrolled in the software, in the Waikato Environment Analyis (WEKA) program, in Version 3.8, specifically the J48 algorithm. The results showed that, although the software prototype still has a path to be covered in future studies that will converge in its validation, it has shown a satisfactory performance for the activity of registration of professionals, patients and research instruments. Regarding the generated decision tree model, this contributed to the identification of the epidemiological and clinical variables associated with the worsening of the disability and also allowed the analysis of the differences of these associations in two distinct groups of treatment of Multiple Sclerosis. Considering all phases and tests of the system, the possibility of generating an electronic registry, which provides agility in the information process and contributes to the planning of the actions to the integrated multiprofessional assistance, as well as, the proposal of application of the decision tree model in order to classify the epidemiological variables associated with worsening disability, using the Expanded Disability Status Scale (EDSS) score, it is expected that the development of this study will awaken the need for further research using decision models that gives opportunity to health teams, especially those facing the complexity of assisting individuals with chronic diseases and progressive degeneration of organic functions.
Nas últimas décadas, tem havido uma preocupação dos governos com a incorporação de tecnologias inovadoras, aplicadas no campo da saúde, com o propósito de auxiliar o desempenho de profissionais e usuários na promoção do cuidado, fortalecido por políticas públicas. Nesse contexto, evidencia-se uma escassez de recursos tecnológicos, voltados à assistência integral e multidisciplinar, direcionada a pacientes com Esclerose Múltipla, especialmente de sistemas que deem suporte a tomada de decisão, no acompanhamento dessa clientela, em Centros de Referência pertencentes ao Sistema Único de Saúde. Assim, o presente estudo tem como objetivo de desenvolver um sistema de informação (protótipo de software) para o monitoramento de parâmetros clínicos, indicativos de comprometimento da funcionalidade de indivíduos com Esclerose Múltipla. Trata-se de um estudo metodológico, do tipo aplicado, envolvendo produção de tecnologia, composto pela etapa do processo de desenvolvimento do software seguida da etapa de aplicação do modelo de árvore de decisão. O desenvolvimento do protótipo de software seguiu os passos do processo genérico de engenharia de software apresentado por Pressman. A modelagem e a prototipação ocorreram no período de janeiro a setembro de 2016, juntamente com a construção do fluxograma de funcionamento do protótipo e das interfaces. O fluxograma foi construído na linguagem unificada de modelagem com auxílio da ferramenta JUDE. O sistema foi desenvolvido em linguagem PHP (Hipertext Processor), que é uma linguagem de script open source (código aberto) de uso livre, muito utilizada, e especialmente adequada para o desenvolvimento web. Portanto, utilizou-se uma Framework PHP (Laravel 5.2 Open Source), o MySQL como tecnologia de banco de dados, e para desenvolvimento das telas usou-se o HTML5, CSS3 e JQUERY. Para a aplicação do modelo de árvore de decisão, recorreu-se as variáveis contidas no cadastro de 50 pacientes e o programa Waikato Environment Analyis, na Versão 3.8, especificamente o algoritmo J48. Os resultados apontaram que, o protótipo de software mostrou desempenho satisfatório para a funcionalidade da atividade de cadastro de profissionais, de pacientes e de instrumentos de pesquisa. Quanto ao modelo de árvore de decisão gerado, este contribuiu para a identificação das variáveis epidemiológicas e clínicas associadas à piora da incapacidade e ainda possibilitou a análise das diferenças destas associações em dois grupos distintos de tratamento da Esclerose Múltipla. Considerando todas as fases e testes do sistema, a possibilidade de gerar um registro eletrônico, que proporcione agilidade no processo da informação e que contribua para o planejamento das ações frente à assistência multiprofissional integrada, bem como, a proposta de aplicação do modelo de árvore de decisão capaz de classificar as variáveis epidemiológicas associadas a piora da incapacidade, utilizando-se o escore da Escala Expandida do Estado de Incapacidade (EDSS). Espera-se que o desenvolvimento desse estudo desperte a necessidade de outras pesquisas utilizando modelos de decisão que oportunizem às equipes de saúde, em especial aquelas que enfrentam a complexidade de assistir indivíduos com doenças crônicas e de degeneração progressiva das funções orgânicas.
Books on the topic "Multiple Sclerosis, decision making, pregnancy"
Wale, Jeffrey. Regulating Decision-Making in Multiple Pregnancy: An Inquiry into the Practice of Fetal Reduction. Cambridge Scholars Publisher, 2021.
Find full textKrieger, Stephen, Ilana Katz Sand, Svenja Oynhausen, and Aaron Miller. Issues in the Design and Interpretation of Multiple Sclerosis Clinical Trials. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199341016.003.0031.
Full textBoss, Renee D. Death at the Beginning. Edited by Stuart J. Youngner and Robert M. Arnold. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199974412.013.2.
Full textO'Hagan, Anthony, and Mike West, eds. The Oxford Handbook of Applied Bayesian Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.001.0001.
Full textBook chapters on the topic "Multiple Sclerosis, decision making, pregnancy"
Rizvi, Syed A., Joshua A. Stone, Saima T. Chaudhry, Nichola Haddad, Brian Wong, and Jennifer O. Grimes. "Clinical Decision-Making in the Management of Multiple Sclerosis." In Clinical Neuroimmunology, 159–77. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24436-1_8.
Full textKohanpour, Elnaz, Sajjad Taghvaei, Ramin Vatankhah, and Mohammad Eghtesad. "Robust Fuzzy Sliding Mode Controller Design for a Multiple Sclerosis Model." In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 1343–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_157.
Full textTelalovic, Jasminka Hasic, and Azra Music Kilic. "Using Data Science for Medical Decision Making Case: Role of Gut Microbiome in Multiple Sclerosis." In IFMBE Proceedings, 349–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17971-7_54.
Full textLanghorne, Anna L., Patrick Thomas, and Laura Kolaczkowski. "Untangling the Web of e-Health: Multiple Sclerosis Patients’ Perceptions of Online Health Information, Information Literacy, and the Impact on Treatment Decision Making." In Online Communities and Social Computing, 304–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39371-6_35.
Full textBAKKE, PATRICK, and JEFFREY R. KIRSCH. "Multiple Sclerosis (MS)." In Decision Making in Anesthesiology, 176–77. Elsevier, 2007. http://dx.doi.org/10.1016/b978-0-323-03938-3.50065-8.
Full textWilliamson, Eric. "Treatment of Multiple Sclerosis." In Decision-Making in Adult Neurology, 230–31. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-323-63583-7.00112-0.
Full textCunningham, Rebecca. "Energy Conservation Interventions for Multiple Sclerosis." In 50 Studies Every Occupational Therapist Should Know, edited by Elizabeth A. Pyatak and Elissa S. Lee, 271—C39.S1. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/med/9780197630402.003.0039.
Full textKuusisto, Hanna, Seija Apila, and Kaija Saranto. "Information Provision and Quality. A Pilot Study on Shared Decision-Making in Multiple Sclerosis." In Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti220691.
Full textTyan, Paul, and Lauren D. Schiff. "Application of Redefined Human Chorionic Gonadotropin Curves for the Diagnosis of Women at Risk for Ectopic Pregnancy." In 50 Studies Every Obstetrician-Gynecologist Should Know, 272–78. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190947088.003.0050.
Full textRajput, Rashi, Ramneek Kaur, Rishika Chadha, Shalini Mani, Rachana R., Harleen Kaur, and Manisha Singh. "The Aging Brain." In Advances in Medical Diagnosis, Treatment, and Care, 1–23. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5282-6.ch001.
Full textConference papers on the topic "Multiple Sclerosis, decision making, pregnancy"
Koss, Jonathan, and Sabine Bohnet-Joschko. "Social Media Mining in Drug Development Decision Making: Prioritizing Multiple Sclerosis Patients’ Unmet Medical Needs." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2022. http://dx.doi.org/10.24251/hicss.2022.368.
Full textEnglish, Faith, and Devon Greyson. ""You still have that fear": Policy constraints on informed decision making about legalized cannabis use during pregnancy and lactation." In 2022 Annual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.02.000.46.
Full textReports on the topic "Multiple Sclerosis, decision making, pregnancy"
MacFarlane, Andrew. 2021 medical student essay prize winner - A case of grief. Society for Academic Primary Care, July 2021. http://dx.doi.org/10.37361/medstudessay.2021.1.1.
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