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Journal articles on the topic 'MEDICAL DECISION MAKING'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Masic, Izet. "Medical Decision Making." Acta Informatica Medica 30, no. 3 (2022): 230. http://dx.doi.org/10.5455/aim.2022.30.230-235.

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Everyday, doctors and individuals in the field of healthcare must make calculated decisions which have important consequences, impacting patients on the individual level, and communities and nations on a more global level. Healthcare professionals must at times make these choices with limited information, resources, and knowledge, and yet is is expected that these decisions are highly calculated and accurate. It is important to familiarise oneself with the exact definitions regarding medical decision making. Doing this allows us to delve deeper into more intricate options present within medical de-cision making.Simple put, a decision is a choice between two options. The person or entity conduct-ing that decision is the decision maker. The exact definition is (4) “Under the decision should imply some specific action which is selected from several variables or which satisfies the expectation that is previously set”. Many different factors and individuals may be involved in medical decision making, with varying consequences, according to different players and settings. For example, medical decision making is not, and cannot, be the same in the United States, as it is in Bosnia and Herzegovina. Of course, there are wide differences in GDP between those two countries, and differing ethical beliefs as well. These two small examples illustrate larger differences in financial and cultural factors that constitute differences in these two countries. A vital component of medical decision making is evaluation. Decision makers must concisely evaluate situations, in order to make better choices. For example, when examining a health care sys-tem, their decisions should consider the following questions, such as, what is the health status of the given population? What economic resources are at the disposal of our patients, and government? How effective is the current healthcare model that is already in place?Does the existing social sys-tem pay enough attention to the healthcare protection?Does the organisation structure of the healthcare system satisfy? Are the existing practice and the healthcare technologies secure, effective, and suitable? Are the planning, programming, determination and the choice of priority the ade-quate to the needs of people? How are the monitoring and evaluation of healthcare system quality organised(2)?These are a few examples of evaluation in medical decision making..

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2

Vlasses, Peter H. "Medical Decision Making." DICP 24, no. 1 (January 1990): 103. http://dx.doi.org/10.1177/106002809002400128.

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3

Berg, Elijah. "Medical Decision-Making." Emergency Medicine News 27, no. 12 (December 2005): 6. http://dx.doi.org/10.1097/00132981-200512000-00006.

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4

East, T. D., S. Henderson, N. L. Pace, A. H. Morris, and J. X. Brunner. "MEDICAL DECISION MAKING." Anesthesiology 75, no. 3 (September 1, 1991): A1059. http://dx.doi.org/10.1097/00000542-199109001-01058.

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5

Gengler, Amanda M. "Emotions and Medical Decision-Making." Social Psychology Quarterly 83, no. 2 (April 16, 2020): 174–94. http://dx.doi.org/10.1177/0190272519876937.

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Sociologists have written surprisingly little about the role emotions play in medical decision-making, largely ceding this terrain to psychologists who conceptualize emotional influences on decision-making in primarily cognitive and individualistic terms. In this article, I use ethnographic data gathered from parents and physicians caring for children with life-threatening conditions to illustrate how emotions enter the medical decision-making process in fundamentally interactional ways. Because families and physicians alike often defined emotions as useful information to guide the decision-making process, both parties could leverage them in health care interactions by eliciting or demonstrating emotional investment, strategically deploying emotionally charged symbols, and using emotions as tiebreakers to help themselves and one another make choices in the midst of uncertainty. Constructing emotions as valuable in the decision-making process and effectively marshalling them in these ways offered a number of advantages. It could make decisions easier to arrive at, help people feel more confident in the decisions they made, and reduce interpersonal conflict. By connecting the dynamic role emotions can play in the interactive process through which medical decisions are made to the social advantages they can produce, I point to an underappreciated avenue through which inequalities in health care are perpetuated.

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6

Webb, R. K. "Medical Decision Making and Decision Analysis." Anaesthesia and Intensive Care 16, no. 1 (February 1988): 107–9. http://dx.doi.org/10.1177/0310057x8801600137.

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7

Novosel, Dragutin, Stjepan Ljudevit Maruić, Nikola Biller-Andorno, and Manuel Trachsel. "Medical Decision-Making Capacity." GeroPsych 31, no. 2 (June 2018): 57–65. http://dx.doi.org/10.1024/1662-9647/a000185.

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Abstract. Decision-making capacity (DMC) is a prerequisite for informed consent to medical treatments. However, little is known about the knowledge, attitudes, and evaluation of DMC among physicians in Croatia. A survey was conducted among 180 general practitioners and psychiatrists in Croatia. Although from a legal perspective DMC is a dichotomous concept, about 90% of physicians indicated that they understand DMC to be a gradual concept. A majority of physicians considered themselves responsible and qualified to conduct DMC evaluations, though some physicians considered themselves insufficiently qualified. General practitioners considered themselves less responsible and less qualified than psychiatrists. Almost all participants indicated that they would welcome official guidelines and training.

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8

Christensen, Caryn, and James R. Larson. "Collaborative Medical Decision Making." Medical Decision Making 13, no. 4 (December 1993): 339–46. http://dx.doi.org/10.1177/0272989x9301300410.

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9

Elstein, Arthur S. "Editing Medical Decision Making." Medical Decision Making 19, no. 4 (October 1999): 507–8. http://dx.doi.org/10.1177/0272989x9901900422.

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10

Kaplan, Robert M. "Shared medical decision making." American Journal of Preventive Medicine 26, no. 1 (January 2004): 81–83. http://dx.doi.org/10.1016/j.amepre.2003.09.022.

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11

McNutt, Robert A. "Shared Medical Decision Making." JAMA 292, no. 20 (November 24, 2004): 2516. http://dx.doi.org/10.1001/jama.292.20.2516.

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12

Fraenkel, Liana. "Individualized Medical Decision Making." Archives of Internal Medicine 170, no. 6 (March 22, 2010): 566. http://dx.doi.org/10.1001/archinternmed.2010.8.

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13

Olendrzyński, Łukasz, and Katarzyna Piątek. "Hypothalamic-Pituitary Sarcoidosis - Clinical and Aviation-Medical Decision Making Aspects." Polish Journal of Aviation Medicine and Psychology 19, no. 4 (October 2, 2013): 25–30. http://dx.doi.org/10.13174/pjamp.19.04.2013.4.

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14

Jagdishchandra, Mehta Sunilkumar. "Medical ethics and decision making in health care management Systems." Indian Journal of Applied Research 1, no. 12 (October 1, 2011): 147–48. http://dx.doi.org/10.15373/2249555x/sep2012/51.

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15

김진경. "Shared Decision-Making as a Model of Medical Decision-Making." Korean Journal of Medical Ethics 11, no. 2 (December 2008): 105–18. http://dx.doi.org/10.35301/ksme.2008.11.2.105.

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16

McConnell, Edwina A. "Decision Making." AORN Journal 49, no. 5 (May 1989): 1382–85. http://dx.doi.org/10.1016/s0001-2092(07)70116-3.

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17

Brody, Howard. "Shared Decision Making and Determining Decision-Making Capacity." Primary Care: Clinics in Office Practice 32, no. 3 (September 2005): 645–58. http://dx.doi.org/10.1016/j.pop.2005.06.004.

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18

Mihelic, MD, Matt. "Politicization of medical decision making." American Journal of Disaster Medicine 14, no. 3 (August 1, 2019): 155. http://dx.doi.org/10.5055/ajdm.2019.0326.

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19

Cataldo, Peter J., and Elliott Louis Bedford. "Prospective Medical-Moral Decision Making." National Catholic Bioethics Quarterly 15, no. 1 (2015): 53–61. http://dx.doi.org/10.5840/ncbq20151516.

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20

Tucak, Ivana, Tomislav Nedić, and Dorian Sabo. "Medical decision-making and children." Zbornik radova Pravnog fakulteta u Splitu 59, no. 2 (July 15, 2022): 385–405. http://dx.doi.org/10.31141/zrpfs.2022.59.144.385.

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Pediatric medical decision making has been a matter of discussion for the last few decades. Generally, the currently prevailing viewpoints are that the children’s wishes should be heard and that children should be allowed to participate in medical decision-making according to their development. Those discussions do not only touch on ethical, legal and political matters, but are also based on empirical research. There are no simple answers to those large issues, especially the age limit at which children can be considered capable of giving informed consent. In that context, a balance needs to be struck between the protection of children’s interests and the respect for their “developing autonomy”. The first part of this article outlines the principle of autonomy that informed consent is based on, whereas the second part focuses on two concepts: that of parental permission and of assent of the child, both of which are well-known in the contemporary medico-legal realm. The term “assent” is commonly used in cases when individuals are not legally allowed to give informed consent but are capable of taking part in the process of medical decision-making. In the third part of the paper, three Croatian legal acts were analyzed in a context of the informed consent of the child: the Protection of Patient’s Rights Act, the Family Act and the Civil Obligations Act. The fact that several legal regulations, in particular the Protection of Patient’s Rights Act, the Family Act and the Civil Obligations Act, must be used in parallel when it comes to the issue of informed consent of a child, can be, legally speaking, quite confusing. Thus, such regulation may leave some doubts and difficulties in the immediate application, especially with regard to emergency medical interventions. In this regard, perhaps the fact of adopting a special law on the consent of children to medical procedures could be considered, or at least the provision within the Family Act or the Protection of Patient’s Rights Act, which uniformly summarizes all the above regulations.

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21

Ziegel, Eric R. "Modeling in Medical Decision Making." Technometrics 44, no. 4 (November 2002): 409–10. http://dx.doi.org/10.1198/tech.2002.s99.

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22

Suhler, Christopher, and Patricia Churchland. "Psychology and Medical Decision-Making." American Journal of Bioethics 9, no. 6-7 (June 22, 2009): 79–81. http://dx.doi.org/10.1080/15265160902874460.

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23

Gerstenecker, Adam, Lindsay Niccolai, Daniel Marson, and Kristen L. Triebel. "Enhancing Medical Decision-Making Evaluations." Assessment 23, no. 2 (August 17, 2015): 232–39. http://dx.doi.org/10.1177/1073191115599053.

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24

Ashman, E. "Factors influencing medical decision-making." Neurology 78, no. 5 (January 30, 2012): e34-e35. http://dx.doi.org/10.1212/wnl.0b013e3182478a3d.

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25

Hedner, Thomas, Krzysztof Narkiewicz, and Sverre E. Kjeldsen. "Medical decision making in hypertension." Blood Pressure 15, no. 4 (January 2006): 196–97. http://dx.doi.org/10.1080/08037050601002822.

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26

Anderson, Carl F. "Computer-Assisted Medical Decision Making." Mayo Clinic Proceedings 61, no. 1 (January 1986): 82–83. http://dx.doi.org/10.1016/s0025-6196(12)61415-3.

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27

Beck, J. Robert. "Directions for Medical Decision Making." Medical Decision Making 9, no. 1 (February 1989): 1. http://dx.doi.org/10.1177/0272989x8900900101.

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28

Holmes-Rovner, Margaret. "Methods for Medical Decision Making." Medical Decision Making 12, no. 3 (August 1992): 159–62. http://dx.doi.org/10.1177/0272989x9201200301.

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29

Wu, William C., and Robert A. Pearlman. "Consent in medical decision making." Journal of General Internal Medicine 3, no. 1 (January 1988): 9–14. http://dx.doi.org/10.1007/bf02595749.

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30

Lurie, Jon D., and Harold C. Sox. "Principles of Medical Decision Making." Spine 24, no. 5 (March 1999): 493–98. http://dx.doi.org/10.1097/00007632-199903010-00021.

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31

Brown, Prue. "Medical decision-making: Whose values?" Australian Social Work 50, no. 4 (December 1997): 69–75. http://dx.doi.org/10.1080/03124079708415749.

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32

Banks, R. A., and J. Prior. "Decision making in medical emergencies." BMJ 300, no. 6735 (May 19, 1990): 1339. http://dx.doi.org/10.1136/bmj.300.6735.1339-b.

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33

Helfand, Mark. "Independence and Medical Decision Making." Medical Decision Making 31, no. 3 (May 2011): 373–75. http://dx.doi.org/10.1177/0272989x11407171.

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34

Boom, Ramón. "A Medical Decision Making "List"." Medical Decision Making 5, no. 1 (February 1985): 132. http://dx.doi.org/10.1177/0272989x8500500127.

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35

Elstein, Arthur S., Beth Dawson-Saunders, and Laurie J. Belzer. "Instruction in Medical Decision Making." Medical Decision Making 5, no. 2 (June 1985): 229–33. http://dx.doi.org/10.1177/0272989x8500500211.

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36

McKinlay, John B., Deborah A. Potter, and Henry A. Feldman. "Non-medical influences on medical decision-making." Social Science & Medicine 42, no. 5 (March 1996): 769–76. http://dx.doi.org/10.1016/0277-9536(95)00342-8.

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37

Petersen, Suni, Elisabeth Sherman-Slate, Jamie L. Straub, Robert C. Schwartz, Hanna Frost, and Nevena Damjanov. "Relationship of Depression and Anxiety to Cancer Patients' Medical Decision-Making." Psychological Reports 93, no. 2 (October 2003): 323–34. http://dx.doi.org/10.2466/pr0.2003.93.2.323.

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The purpose of this study was to examine the relation of depression and anxiety to cancer patients' medical decision-making. Participants were 79 rural and urban cancer patients undergoing chemotherapy. The four decisional styles of the Decisional Processing Model were the independent variables. Dependent variables were anxiety and depression, measured by Spielberger's State-Trait Anxiety and the Center for Disease Control Depression Scale, respectively. Consistent with the Decisional Processing Model, analysis suggested that patients make medical decisions by information seeking, information processing, advice following, or ruminating. Decisional style did not vary according to type or stage of cancer, prognosis, time elapsed since initial diagnosis, or whether cancer was initial or recurrent. Decisional style did not systematically vary with depression and anxiety suggesting how a person makes decisions is a stable personality trait. Thus, decision-making may follow a cognitive schema. It is likely that patients' decisional styles help to manage anxiety and depression when confronted with life-threatening illness. Implications for informed consent and patients' involvement in decision-making are discussed.

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38

Bundrick, John B. "Making Medical Decisions: An Approach to Clinical Decision Making for Practicing Physicians." Mayo Clinic Proceedings 74, no. 8 (August 1999): 849. http://dx.doi.org/10.4065/74.8.849.

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39

Greer, Ann Lennarson. "Rationing Medical Technology." International Journal of Technology Assessment in Health Care 3, no. 2 (April 1987): 199–221. http://dx.doi.org/10.1017/s0266462300000519.

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AbstractThis paper analyzes medical technology decision making in the United States and England in terms of the appropriateness of different decision-making models to the organization and delivery of medical care, and to the rationing of technology among and within hospitals. It examines the effect on the American hospital of prospective payment programs from the perspective of organizational structure and decision making. The strategies of central control and specification which characterize these programs are contrasted with decision-making procedures in the English National Health Service, which have emphasized decentralization, delegation, and consensus. The analysis suggests that decentralized models of decision making are more supportive of essential elements of medical care including doctor-patient trust and professional responsibility and are more able to achieve rationing decisions which are compatible with professional and consumer preferences.

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40

Haddawy, Peter, Anhai Doan, and Charles E. Kahn. "Decision-theoretic Refinement Planning in Medical Decision Making." Medical Decision Making 16, no. 4 (October 1996): 315–25. http://dx.doi.org/10.1177/0272989x9601600402.

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41

Emerson, John D., and David Tritchler. "The three-decision problem in medical decision making." Statistics in Medicine 6, no. 2 (March 1987): 101–12. http://dx.doi.org/10.1002/sim.4780060202.

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42

Marron, Jonathan M., Kaitlin Kyi, Paul S. Appelbaum, and Allison Magnuson. "Medical Decision-Making in Oncology for Patients Lacking Capacity." American Society of Clinical Oncology Educational Book, no. 40 (May 2020): e186-e196. http://dx.doi.org/10.1200/edbk_280279.

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Modern oncology practice is built upon the idea that a patient with cancer has the legal and ethical right to make decisions about their medical care. There are situations in which patients might no longer be fully able to make decisions on their own behalf, however, and some patients never were able to do so. In such cases, it is critical to be aware of how to determine if a patient has the ability to make medical decisions and what should be done if they do not. In this article, we examine the concept of decision-making capacity in oncology and explore situations in which patients may have altered/diminished capacity (e.g., depression, cognitive impairment, delirium, brain tumor, brain metastases, etc.) or never had decisional capacity (e.g., minor children or developmentally disabled adults). We describe fundamental principles to consider when caring for a patient with cancer who lacks decisional capacity. We then introduce strategies for capacity assessment and discuss how clinicians might navigate scenarios in which their patients could lack capacity to make decisions about their cancer care. Finally, we explore ways in which pediatric and medical oncology can learn from one another with regard to these challenging situations.

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43

Barach, P., V. Levashenko, and E. Zaitseva. "Fuzzy Decision Trees in Medical Decision Making Support Systems." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 8, no. 1 (September 2019): 37–42. http://dx.doi.org/10.1177/2327857919081009.

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Fuzzy decision trees represent classification knowledge more naturally to the way of human thinking and are more robust in tolerating imprecise, conflict, and missing information. Decision Making Support Systems are used widely in clinical medicine because decisions play an important role in diagnostic processes. Decision trees are a very suitable candidate for induction of simple decision-making models with the possibility of automatic learning. The goal of this paper is to demonstrate a new approach for predictive data mining models in clinical medicine. This approach is based on induction of fuzzy decision trees. This approach allows us to build decision-making modesl with different properties (ordered, stability etc.). Three new types of fuzzy decision trees (non-ordered, ordered and stable) are considered in the paper. Induction of these fuzzy decision trees is based on cumulative information estimates. Results of experimental investigation are presented. Predictive data mining is becoming an essential instrument for researchers and clinical practitioners in medicine. Using new approaches based on fuzzy decision trees allows to increase the prediction accuracy. Decision trees are a very suitable candidate for induction using simple decision-making models with the possibility of automatic and AI learning.

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44

WOOD, J. "Ethical decision making." Journal of PeriAnesthesia Nursing 16, no. 1 (February 2001): 6–10. http://dx.doi.org/10.1016/s1089-9472(01)44082-2.

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45

White, Mathew P., J. Christopher Cohrs, and Anja S. Göritz. "Dynamics of Trust in Medical Decision Making." Medical Decision Making 31, no. 5 (January 25, 2011): 710–20. http://dx.doi.org/10.1177/0272989x10394463.

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Background: Patient trust in medical decision makers is a crucial facilitator of effective health care. Greater patient involvement in decision making requires improved understanding of how such trust is built, maintained, and lost in medical contexts. Objective: The study investigates how trust in clinicians is affected by the 4 main diagnostic outcomes proposed by signal detection theory: true positives, true negatives, false positives, and false negatives. Cognitive appraisals of, and affective reactions to, the decisions were measured to investigate the psychological mechanisms underpinning effects on trust. Design: Members of an Internet research panel ( N = 1162) participated in a between-participant experimental study using hypothetical cancer diagnosis scenarios. Results: Overall, correct diagnoses bolstered trust as much as incorrect ones undermined it. Consistent with recent findings in other decision-making domains, trust was not as precarious as generally believed. The influence of decisions and outcomes on trust was mediated through cognitive assessments and affective responses in line with current appraisal theories in psychology. Prior levels of trust in clinicians affected sympathy for doctors, highlighting the role that trust plays in responding to new information. Conclusions: Trust in (hypothetical) clinicians is sensitive to information about their past diagnostic performance. Greater understanding of the cognitive and affective mechanisms by which this occurs may help maintain current high levels of trust. Further research is needed to examine whether findings generalize to real medical decision-making contexts. Clinicians may want to consider the impact their diagnoses have on trust alongside medical and financial considerations.

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46

Lin, Jody L., Ellen A. Lipstein, Eve Wittenberg, Djin Tay, Robert Lundstrom, Gari Lyn Lundstrom, Saadia Sediqzadah, and Davene R. Wright. "Intergenerational Decision Making: The Role of Family Relationships in Medical Decision Making." MDM Policy & Practice 6, no. 2 (July 2021): 238146832110394. http://dx.doi.org/10.1177/23814683211039468.

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A symposium held at the 42nd annual Society for Medical Decision Making conference on October 26, 2020, focused on intergenerational decision making. The symposium covered existing research and clinical experiences using formal presentations and moderated discussion and was attended by 43 people. Presentations focused on the roles of pediatric patients in decision making, caregiver decision making for a child with complex medical needs, caregiver involvement in advanced care planning, and the inclusion of spillover effects in economic evaluations. The moderated discussion, summarized in this article, highlighted existing resources and gaps in intergenerational decision making in four areas: decision aids, economic evaluation, participant perspectives, and measures. Intergenerational decision making is an understudied and poorly understood aspect of medical decision making that requires particular attention as our society ages and technological advances provide new innovations for life-sustaining measures across all stages of the lifespan.

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47

Power, Tara E., Leora C. Swartzman, and John W. Robinson. "Cognitive-emotional decision making (CEDM): A framework of patient medical decision making." Patient Education and Counseling 83, no. 2 (May 2011): 163–69. http://dx.doi.org/10.1016/j.pec.2010.05.021.

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48

Schut, Suzanne, and Erik Driessen. "Setting decision‐making criteria: is medical education ready for shared decision making?" Medical Education 53, no. 4 (February 27, 2019): 324–26. http://dx.doi.org/10.1111/medu.13826.

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49

Lippa, Katherine D., Markus A. Feufel, F. Eric Robinson, and Valerie L. Shalin. "Navigating the Decision Space: Shared Medical Decision Making as Distributed Cognition." Qualitative Health Research 27, no. 7 (August 23, 2016): 1035–48. http://dx.doi.org/10.1177/1049732316665347.

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Despite increasing prominence, little is known about the cognitive processes underlying shared decision making. To investigate these processes, we conceptualize shared decision making as a form of distributed cognition. We introduce a Decision Space Model to identify physical and social influences on decision making. Using field observations and interviews, we demonstrate that patients and physicians in both acute and chronic care consider these influences when identifying the need for a decision, searching for decision parameters, making actionable decisions Based on the distribution of access to information and actions, we then identify four related patterns: physician dominated; physician-defined, patient-made; patient-defined, physician-made; and patient-dominated decisions. Results suggests that (a) decision making is necessarily distributed between physicians and patients, (b) differential access to information and action over time requires participants to transform a distributed task into a shared decision, and (c) adverse outcomes may result from failures to integrate physician and patient reasoning. Our analysis unifies disparate findings in the medical decision-making literature and has implications for improving care and medical training.

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50

Gregory Dawes, Brenda S. "Making joint commitments for decision making." AORN Journal 72, no. 1 (July 2000): 14–16. http://dx.doi.org/10.1016/s0001-2092(06)62031-0.

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