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Journal articles on the topic 'Health decision-making process'

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Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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1

VLAICU, Claudia. "DECISION MAKING PROCESS IN THE PANDEMIC CONTEXT. PSYCHOLOGICAL APPROACH." International Multidisciplinary Scientific Conference on the Dialogue between Sciences & Arts, Religion & Education 4, no. 1 (December 7, 2020): 142–47. http://dx.doi.org/10.26520/mcdsare.2020.4.142-147.

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The world is dealing with a health crisis unparalleled in this era that underscores a negative side of globalization. People have to face economic and psychological changes. The paper is intended to draw attention upon the importance of building emotional resilience to handle the actual crisis and its development. Thus, it analyses what the emotional reactions of people are when making decisions in such difficult contexts as this pandemic crisis. Specifically, each of the seven steps of the decision-making process are described along with the subsequent emotional reactions of the people (both as individuals and as part of an organization or team) involved in the process. The conclusion of the paper is that all reports that have been issued by governments of all countries rather urges to further decisions that should be made in three areas: economic support, Covid-19 testing and the lockdown. Therefore, the decisionmaking process seems to be rather a work in progress within this pandemic context. At the emotional level, every step is experienced differently. There is still a common emotion that seems to appear at all stages of the process and that is anxiety. Up to some point, anxiety is functional and useful. It is human and adaptive for a while. But beyond certain reasonable limits, however, it becomes exhausting and devastating

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2

Ikram, Krit, and Aftiss Ahmed. "The Role of Accounting Information in the Company’s Decision-Making Process." International Journal of Psychosocial Rehabilitation 24, no. 03 (February 18, 2020): 645–56. http://dx.doi.org/10.37200/ijpr/v24i3/pr200821.

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Frączkiewicz-Wronka, Aldona, Katarzyna Dyaczyńska, Karolina Szymaniec, and Przemysław Kotowski. "THE IMPACT AND IMPORTANCE OF STAKEHOLDERS OF THE HEALTH UNITS TO THE MANAGERIAL DECISION-MAKING PROCESS." Economics & Sociology 4, no. 1a (July 20, 2011): 148–65. http://dx.doi.org/10.14254/2071-789x.2011/4-1a/10.

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4

King, Barbara Lee. "Decision Making in the Intervention Process." Alcoholism Treatment Quarterly 3, no. 3 (December 19, 1986): 5–23. http://dx.doi.org/10.1300/j020v03n03_02.

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5

Benfield, Angela, and Robert B. Krueger. "Making Decision-Making Visible—Teaching the Process of Evaluating Interventions." International Journal of Environmental Research and Public Health 18, no. 7 (March 31, 2021): 3635. http://dx.doi.org/10.3390/ijerph18073635.

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Significant efforts in the past decades to teach evidence-based practice (EBP) implementation has emphasized increasing knowledge of EBP and developing interventions to support adoption to practice. These efforts have resulted in only limited sustained improvements in the daily use of evidence-based interventions in clinical practice in most health professions. Many new interventions with limited evidence of effectiveness are readily adopted each year—indicating openness to change is not the problem. The selection of an intervention is the outcome of an elaborate and complex cognitive process, which is shaped by how they represent the problem in their mind and is mostly invisible processes to others. Therefore, the complex thinking process that support appropriate adoption of interventions should be taught more explicitly. Making the process visible to clinicians increases the acquisition of the skills required to judiciously select one intervention over others. The purpose of this paper is to provide a review of the selection process and the critical analysis that is required to appropriately decide to trial or not trial new intervention strategies with patients.

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LOBONT, Oana Ramona, Sorana VATAVU, Daniel BRINDESCU OLARIU, Andrei PELIN, and Codruta CHIS. "E-Health Adoption Gaps in the Decision-Making Process." Revista de Cercetare si Interventie Sociala 65 (June 18, 2019): 389–403. http://dx.doi.org/10.33788/rcis.65.24.

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Castillo, Jonathan, Heidi Castillo, Lisa Ayoub-Rodriguez, Jeanine E. Jennings, Kareen Jones, Sara Oliver, Charles J. Schubert, and Thomas DeWitt. "The Resident Decision-Making Process in Global Health Education." Clinical Pediatrics 51, no. 5 (January 25, 2012): 462–67. http://dx.doi.org/10.1177/0009922811433555.

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8

Dolan, James G. "Medical Decision Making Using the Analytic Hierarchy Process." Medical Decision Making 9, no. 1 (February 1989): 51–56. http://dx.doi.org/10.1177/0272989x8900900109.

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Koyama, Fumiko, and Kumi Suzuki. "Process of Decision-Making of Anti-Cancer Treatment in Elderly Patients with Advanced Lung Cancer." Health 09, no. 12 (2017): 1644–59. http://dx.doi.org/10.4236/health.2017.912121.

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Simmons, M. B., and P. M. Gooding. "Spot the difference: shared decision-making and supported decision-making in mental health." Irish Journal of Psychological Medicine 34, no. 4 (October 23, 2017): 275–86. http://dx.doi.org/10.1017/ipm.2017.59.

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Respecting a person’s choices about the mental health services they do or do not use is a mark of quality support, and is often pursued for moral reasons, as a rights imperative and to improve outcomes. Yet, providing information and assistance for people making decisions about the mental health services can be a complex process, and has been approached in various ways. Two prominent approaches to this end are ‘shared decision-making’ and ‘supported decision-making’. This article considers each of these approaches, discussing points of similarity and difference and considering how the two might complement one another. By exploring the contribution that each approach can make, we conclude by proposing how future application of these approaches can account for the broader context of decisions, including support for ongoing decision-making; the multitude of service settings where decision-making occurs; and the diversity in supportive practices required to promote active involvement.

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Zheng, Pan, Wenqin Zhao, Yaqiong Lv, Lu Qian, and Yifan Li. "Health Status-Based Predictive Maintenance Decision-Making via LSTM and Markov Decision Process." Mathematics 11, no. 1 (December 26, 2022): 109. http://dx.doi.org/10.3390/math11010109.

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Maintenance decision-making is essential to achieve safe and reliable operation with high performance for equipment. To avoid unexpected shutdown and increase machine life as well as system efficiency, it is fundamental to design an effective maintenance decision-making scheme for equipment. In this paper, we propose a novel maintenance decision-making method for equipment based on Long Short-Term Memory (LSTM) and Markov decision process, which can provide specific maintenance strategies in different degradation stages of the system. Specifically, the LSTM model is firstly applied to predict the remaining service life of equipment to distinguish its health state quantitatively. Then, based on the bearing residual life prediction curve, the degradation process model is constructed, and the corresponding parameters of the model are identified. Finally, the bearing degradation curve is obtained by the degradation process model, based on which the Markov decision process model is constructed to provide accurate maintenance strategies for different health conditions of system. To demonstrate the effectiveness of the proposed method, an experimental study with the full life cycle data set of rolling bearings is carried out. The experimental results show that the proposed method can achieve efficient maintenance decisions for bearings under different health states, which provides a feasible solution for the maintenance of bearing systems.

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Brown, Cynthia J., José A. Pagán, and Eduardo Rodríguez-Oreggia. "The decision-making process of health care utilization in Mexico." Health Policy 72, no. 1 (April 2005): 81–91. http://dx.doi.org/10.1016/j.healthpol.2004.06.008.

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13

Granados, Alicia. "HEALTH TECHNOLOGY ASSESSMENT AND CLINICAL DECISION MAKING:." International Journal of Technology Assessment in Health Care 15, no. 3 (July 1999): 585–92. http://dx.doi.org/10.1017/s0266462399153121.

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This paper examines the rationality of the concepts underlying evidence—based medicineand health technology assessment (HTA), which are part of a new current aimed at promoting the use of the results of scientific studies for decision making in health care. It describes the different approaches and purposes of this worldwide movement, in relation to clinical decision making, through a summarized set of specific HTA case studies from Catalonia, Spain. The examples illustrate how the systematic process of HTA can help in several types of uncertainties related to clinical decision making.

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Sari, Ni Putu Wulan Purnama, and Nia Novita Sari. "The decision making process of being palliative volunteer." International Journal of Public Health Science (IJPHS) 8, no. 2 (June 1, 2019): 263. http://dx.doi.org/10.11591/ijphs.v8i2.19837.

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Palliative care delivery in Surabaya community, Indonesia, is in collaboration with palliative volunteers. The decision to be palliative volunteer was not easy, mainly because of financial matter, time limitation, and role conflict. This study aimed to analyze the decision making process of being a palliative volunteer in Surabaya. This qualitative study involved 13 female palliative volunteers under the supervision of Public Health Center (PHC) of Rangkah. In-depth-interview was used for data collection. Instruments used were interview guideline, observation sheet, and voice recorder. Collaizi method was used for data analysis. The majority was 40-50 years old, married, housewife, and high school graduated. Each participant manages 5-8 patients to be home-visited regularly. The driving force and the reason to persistently be a palliative volunteer was the willingness to help others in need. The major entry point acting as stimulus was health care professional in the Rangkah PHC. The decision making model applied was descriptive model, because despite of insufficient information through various entry points but the decision made was fast and persistent.

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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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Pereira, Ana Cristina, and Angela Sofia Ferrari Nunes. "O processo decisório subsidiado por informações de custos." O Mundo da Saúde 2011, no. 3 (September 30, 2011): 258–69. http://dx.doi.org/10.15343/0104-7809.20113258269.

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Chinomona, VB Akponah, Emeritus NE Mazibuko, and J. Kruger. "Factors Influencing Client's Decision-Making Process In Private Health Care Institutions In Nigeria." 11th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 11, no. 1 (December 9, 2020): 102. http://dx.doi.org/10.35609/gcbssproceeding.2020.11(102).

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The impact of the health care sector and economic vitality plays a major role in the upliftment of the welfare of the society. A country's stability and sustainability will depend on how healthy its population is (Patry, Morris & Leatherman, 2010). Therefore, the reduction in mortality rate and an increase in healthy work force that performs work duties are likely to promote economic activities which will in turn increase the country's wealth. Clients seek health care services that can improve the state of their well-being. Since health care services are needed to promote well-being, clients are particular about how and where they purchase health care services from (Akponah, Mazibuko & Krüger, 2015:153). Numerous researchers have studied the factors that determine clients' decision-making in the utilization of health care services. Andersen and Newman (2005:14) put forward that predisposing, enabling and illness level influence the clients' decision to utilize health care services. Mekonnen and Mekonnen (2002:2) report that gender as a demographic factor influences the decision-making of clients regarding the utilization of health care services. However, Williams (2005:35) maintains that client attitudes regarding their decisions to utilize and access health care services from private health care institutions are influenced by their social structure, occupation, education, ethnicity, cultural, attitudes and beliefs relating to values, knowledge and attitudes from past experience. This study investigates and answers the following questions: What factors influences clients' decision-making regarding the utilization of private health care institutions? Keywords: Health care services; decision-making process; health care institutions; health insurance; clients.

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Shanit, D., A. Cheng, and R. A. Greenbaum. "Telecardiology: supporting the decision making process in general practice." Journal of Telemedicine and Telecare 2, no. 1 (March 1, 1996): 7–13. http://dx.doi.org/10.1258/1357633961929105.

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To assess the initial phase of a telecardiology diagnostic service for general practitioners GPs , we provided 93 GPs in 26 health centres with direct telephone access to a cardiologist, and equipped them with hand-held, automatic standard 12-lead electrocardiogram ECG transmitters for on-line cardiac consultations and ECG interpretation in their daily practice. Clinical details, reason for consultation and the ECG signal were transmitted from the GPs' practices or the patients' homes. A consultation followed and a full report, including ECG print-out, was then sent to the GP. During an 18-month study period, 2563 consultations were carried out. The system allowed the identification of 479 patients 19 with urgent cardiac problems and the remaining 2084 81 in whom admission or outpatient investigation was unnecessary. Following the study, we distributed a questionnaire asking the GPs to rate the quality, define the use and consider the benefit of the service to their daily practice. We conclude that a telecardiology diagnosis and ECG interpretation service is simple, reliable and efficacious in routine primary care. It offers instant access to cardiac assessment and supports the decision-making process of GPs. A preliminary cost comparison with a conventional referral indicated that a teleconsultation was substantially cheaper. We expect that the future incorporation of teleechocardiography would expand the scope of telecardiology even further and allow comprehensive cardiology consultations.

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Rao, Indu Ramachandra, Nandini Vallath, YJ Anupama, Krishan Lal Gupta, and Krithika S. Rao. "Decision-making around Commencing Dialysis." Indian Journal of Palliative Care 27 (May 30, 2021): S6—S10. http://dx.doi.org/10.4103/ijpc.ijpc_61_21.

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The decision regarding dialysis initiation is complex. Awareness that renal replacement therapy should not be regarded as default therapy for every patient with advanced renal failure is necessary. Decision to initiate dialysis and modality should be individualized in a shared decision-making process involving the treating nephrologist and the patient. Patients should receive predialysis education early in the course of chronic kidney disease so as to help prepare them well in advance for this eventuality. Withholding dialysis may be a reasonable option in a certain subset of patients, especially elderly patient with multiple co-morbid illnesses. Comprehensive conservation care should be offered in all patients where the decision to not dialyze is taken.

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Surgey, Gavin, Kalipso Chalkidou, William Reuben, Fatima Suleman, Jacqui Miot, and Karen Hofman. "Introducing health technology assessment in Tanzania." International Journal of Technology Assessment in Health Care 36, no. 2 (August 12, 2019): 80–86. http://dx.doi.org/10.1017/s0266462319000588.

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AbstractObjectivesHealth technology assessment (HTA) is a cost-effective resource allocation tool in healthcare decision-making processes; however, its use is limited in low-income settings where countries fall short on both absorptive and technical capacity. This paper describes the journey of the introduction of HTA into decision-making processes through a case study revising the National Essential Medicines List (NEMLIT) in Tanzania. It draws lessons on establishing and strengthening transparent priority-setting processes, particularly in sub-Saharan Africa.MethodsThe concept of HTA was introduced in Tanzania through revision of the NEMLIT by identifying a process for using HTA criteria and evidence-informed decision making. Training was given on using economic evidence for decision making, which was then put into practice for medicine selection for the NEMLIT. During the revision process, capacity-building workshops were held with reinforcing messages on HTA.ResultsBetween the period 2014 and 2018, HTA was introduced in Tanzania with a formal HTA committee being established and inaugurated followed by the successful completion and adoption of HTA into the NEMLIT revision process by the end of 2017. Consequently, the country is in the process of institutionalizing HTA for decision making and priority setting.ConclusionWhile the introduction of HTA process is country-specific, key lessons emerge that can provide an example to stakeholders in other low- and middle-income countries (LMICs) wishing to introduce priority-setting processes into health decision making.

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Shepherd, Marvin D., and Robert D. Salzman. "The Formulary Decision-Making Process in a Health Maintenance Organisation Setting." PharmacoEconomics 5, no. 1 (January 1994): 29–38. http://dx.doi.org/10.2165/00019053-199405010-00005.

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MAINO, M., P. PEREZ, P. OVIEDO, G. SOTOMAYOR, and P. P. ABALOS. "The analytic hierarchy process in decision-making for caprine health programmes." Revue Scientifique et Technique de l'OIE 31, no. 3 (December 1, 2012): 889–98. http://dx.doi.org/10.20506/rst.31.3.2162.

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Frye, Barbara. "The Process of Health Care Decision Making among Cambodian Immigrant Women." International Quarterly of Community Health Education 10, no. 2 (July 1989): 113–24. http://dx.doi.org/10.2190/l2n6-4hwj-378k-y93d.

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This qualitative study examined the congruence between health beliefs and behavior as reported by thirty Cambodian (Khmer) refugee women in Southern California. Utilizing in-home interviewing in the Khmer language, data were gathered on 226 illness episodes occurring among 157 family members tracked over an eight-month span. Informants reported a strong maternal role in health care decision making with all ages of children. Adult decision making demonstrated an individualistic pattern. Causes of illness were attributed primarily to humoral imbalances and illness avoidance behavior reflected these beliefs. Treatment was a blend of scientific and traditional medicine. Health care was accessed in settings of linguistic and cultural comfort regardless of distance. Disease prevention was linked to adequate food quantity. Chronic degenerative disease, stress, and reproductive complications were reported frequently. The adolescents and women appeared to be at high risk for cultural stress.

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Singpurwalla, Norah, Ernest Forman, and David Zalkind. "Promoting shared health care decision making using the analytic hierarchy process." Socio-Economic Planning Sciences 33, no. 4 (December 1999): 277–99. http://dx.doi.org/10.1016/s0038-0121(99)00009-9.

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Tung, Wei-Chen. "Asian American’s Confucianism-Based Health-Seeking Behavior and Decision-Making Process." Home Health Care Management & Practice 22, no. 7 (August 13, 2010): 536–38. http://dx.doi.org/10.1177/1084822310376610.

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Dodero, Frank C. "The risk management decision-making process in a health care setting." Perspectives in Healthcare Risk Management 8, no. 3 (September 2, 2009): 10–13. http://dx.doi.org/10.1002/jhrm.5600080305.

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Etges, Ana, Bruna Zanotto, Prisciane da Rosa, and Carisi Polanczyk. "PP90 The Value Of Multi-Criteria Decision Analysis Use On Health Technology Decision Making Process." International Journal of Technology Assessment in Health Care 34, S1 (2018): 100. http://dx.doi.org/10.1017/s0266462318002374.

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Introduction:The use of multi-criteria decision analysis (MCDA) in health technology assessment (HTA) studies has become more common due to the fact that MCDA offers a comprehensive technique for decisions that involve multiple criteria and stakeholders. How MCDA contributes to the HTA decision making process is an issue to be investigated. A systematic review was carried out in order to provide an overview of the benefits identified in MCDA applications for the strategic HTA decision making process.Methods:A systematic review developed by Philip Wahlster et al. (2014) was updated. The papers were analyzed in order to determine how MCDA is connected with traditional HTA, and to identify opportunities through the application of MCDA. In total 965 papers were found, and 43 articles were included in the review. The included articles detailed MCDA applications oriented to tactical and strategic decision making processes. The review was conducted by two researchers.Results:Of the available studies published on MCDA, 76 percent were published between 2014 and 2017, and 24 percent were published prior to 2014. Regarding the MCDA methodology defined in the included studies, 10 used the analytical hierarchy process, four used multi-attribute theory, and others refer the methodology only as “MCDA”. Seventeen studies also included health technology economic analysis, in special cost-effectiveness, safety and technological innovation. The studies suggest MCDA adds value since it allows different stakeholders to be engaged in the decision making process.Conclusions:The increase in studies on MCDA and healthcare point to the possibility to add different criteria, engage people with different knowledge levels, and make the decision-making process more transparent. In comparison with other technical areas, the use of MCDA in healthcare is more focused on achieving the decision about adding the new technology, and to show how to engage stakeholders than to explain how to develop the algorithms and methodologies.

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Chi, John J. "Reflections on Shared Decision Making." Otolaryngology–Head and Neck Surgery 159, no. 5 (July 31, 2018): 809–10. http://dx.doi.org/10.1177/0194599818792212.

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Decisions about medical and surgical treatment can be complex—even for health care providers, who can struggle with which treatment option to offer their patients. In the current landscape of patient-centric value-based health care, the need for appropriate medical decision making to maximize treatment outcomes is evermore important. Shared decision making is a process in which clinicians and patients make decisions together using the best available evidence while accounting for the patients’ values and beliefs. A patient-centered approach has been associated with improved patient satisfaction, clinical outcomes, and patient adherence to treatment. Only by taking a collaborative care approach among patients, physicians, and caregivers can we hope to deliver the best possible care and improve our outcomes for each and every patient.

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Engebretsen, Eivind, Nina Køpke Vøllestad, Astrid Klopstad Wahl, Hilde Stendal Robinson, and Kristin Heggen. "Unpacking the process of interpretation in evidence-based decision making." Journal of Evaluation in Clinical Practice 21, no. 3 (April 7, 2015): 529–31. http://dx.doi.org/10.1111/jep.12362.

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König, Thomas. "Analysing the Process of EU Legislative Decision-Making." European Union Politics 9, no. 1 (March 2008): 145–65. http://dx.doi.org/10.1177/1465116507085960.

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Frelick, Kathryn M., Glenn S. Bartlett, Linden F. Frelick, and Phyllis A. Malek. "Staff Participation in Administrative Decision-Making." Healthcare Management Forum 6, no. 3 (October 1993): 43–46. http://dx.doi.org/10.1016/s0840-4704(10)61105-2.

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Victoria Hospital Corporation in London has adopted a collaborative management model that involves the participation of medical, union and non-union staff in the administrative decision-making process within predetermined parameters. Reactions have been favourable from all sides — positive feedback from the groups involved and minimal negative public response to the sensitive decisions made concerning downsizing. Early indicators suggest increasing further the participation of union and non-union staff in decision-making on multiple levels, but with clearly defined “boundaries of responsibility.”

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Wang, Zhixiao, J. Warren Salmon, and Surrey M. Walton. "Cost-Effectiveness Analysis and the Formulary Decision-Making Process." Journal of Managed Care Pharmacy 10, no. 1 (January 2004): 48–59. http://dx.doi.org/10.18553/jmcp.2004.10.1.48.

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Istiqomah, Ermina, Sudjatmiko Setyobudihono, and M. Azra Inan Abdillah. "The Influence of Local Wisdom in The Decision Making Process." Berkala Kedokteran 14, no. 1 (March 1, 2018): 29. http://dx.doi.org/10.20527/jbk.v14i1.4537.

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Abstract: The existence of an authoritative figure is an indivisible part of society living in Indonesia. The high claims of iron tablets in pregnant women were indicated not followed by high consumption of Fe tablets. Motivation was suspected to be a problem in various treatment processes. The aim of this research was to know the level of influence in influencing the decision and also the perception of various influence roles based on the understanding of local wisdom. Descriptive method was used by using a closed questionnaire to 130 respondents. The results showed that the husband, the parents and the mother-in-law were the individuals who had an influence on the decision of a pregnant woman. The need for permission was the highest factor chosen regarding the participation in the health program. This study provides an overview of the influence of individuals that must be considered in making a health program for pregnant women. Keywords: health program, influence of individual, local wisdom, pregnant mother

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Simons, Pascale, Jos Benders, Jochen Bergs, Wim Marneffe, and Dominique Vandijck. "Has Lean improved organizational decision making?" International Journal of Health Care Quality Assurance 29, no. 5 (June 13, 2016): 536–49. http://dx.doi.org/10.1108/ijhcqa-09-2015-0118.

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Purpose – Sustainable improvement is likely to be hampered by ambiguous objectives and uncertain cause-effect relations in care processes (the organization’s decision-making context). Lean management can improve implementation results because it decreases ambiguity and uncertainties. But does it succeed? Many quality improvement (QI) initiatives are appropriate improvement strategies in organizational contexts characterized by low ambiguity and uncertainty. However, most care settings do not fit this context. The purpose of this paper is to investigate whether a Lean-inspired change program changed the organization’s decision-making context, making it more amenable for QI initiatives. Design/methodology/approach – In 2014, 12 professionals from a Dutch radiotherapy institute were interviewed regarding their perceptions of a Lean program in their organization and the perceived ambiguous objectives and uncertain cause-effect relations in their clinical processes. A survey (25 questions), addressing the same concepts, was conducted among the interviewees in 2011 and 2014. The structured interviews were analyzed using a deductive approach. Quantitative data were analyzed using appropriate statistics. Findings – Interviewees experienced improved shared visions and the number of uncertain cause-effect relations decreased. Overall, more positive (99) than negative Lean effects (18) were expressed. The surveys revealed enhanced process predictability and standardization, and improved shared visions. Practical implications – Lean implementation has shown to lead to greater transparency and increased shared visions. Originality/value – Lean management decreased ambiguous objectives and reduced uncertainties in clinical process cause-effect relations. Therefore, decision making benefitted from Lean increasing QI’s sustainability.

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Ciesielski-Carlucci, Chris, Nancy Milliken, and Neal H. Cohen. "Determinants of Decision Making for Circumcision." Cambridge Quarterly of Healthcare Ethics 5, no. 2 (1996): 228–36. http://dx.doi.org/10.1017/s0963180100006976.

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Research is ongoing concerning the medical risks and benefits of routine neonatal male circumcision. Interpretation of the data, however, is controversial. Circumcision presents a number of challenges in obtaining informed consent because of a variety of interesting issues. It is a nonemergent, elective procedure that allows for evaluation and discussion over time. In this respect, observation of the informed consent process for circumcision is relevant to other medical decisions, such as advance directives, discussed between primary care providers and patients. Obtaining informed consent for circumcision has its constraints. The process generally occurs over a brief hospital stay. There have been recent changes in the official position regarding the procedure by professional medical societies, and it raises considerable psychologic issues for the provider and may Impact the way in which Information is provided.

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Liukkonen, Arja. "The Psychogeriatric Nurse's Decision-making Process in a Mental Hospital." Scandinavian Journal of Caring Sciences 7, no. 1 (March 1993): 17–20. http://dx.doi.org/10.1111/j.1471-6712.1993.tb00156.x.

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Rahman, MizanurM, M. Kabir, and M. Shahidullah. "Participation of adolescents in household decision-making process in Bangladesh." Indian Journal of Community Medicine 32, no. 2 (2007): 123. http://dx.doi.org/10.4103/0970-0218.35650.

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Gevirtz, FO, JB Lutz, X. Gao, and EA Brooks. "PHP1: INTEGRATING HEALTH ECONOMICS INTO THE PRODUCT DECISION- MAKING PROCESS: LESSONS LEARNED FROM DECISION-MAKERS." Value in Health 4, no. 6 (September 2001): 472. http://dx.doi.org/10.1046/j.1524-4733.2001.46004.x.

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Chen, Chia-Hsien, Hsin-Yi Chuang, Yen Lee, Glyn Elwyn, Wen-Hsuan Hou, and Ken N. Kuo. "Relationships among Antecedents, Processes, and Outcomes for Shared Decision Making: A Cross-Sectional Survey of Patients with Lumbar Degenerative Disease." Medical Decision Making 42, no. 3 (October 11, 2021): 352–63. http://dx.doi.org/10.1177/0272989x211024980.

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Background Among musculoskeletal disorders, lumbar degenerative disease (LDD) is the leading cause of total disability-adjusted life years globally. Clinical guidelines for LDD describe multiple treatment options in which shared decision making becomes appropriate. Objectives To explore the relationships among measures of decision antecedents, process, and outcomes in patients with LDD. Methods Patients with LDD were recruited from outpatient clinics in a teaching hospital in Taiwan and administered surveys to collect measures of decision antecedents, processes, and outcomes. Multiple linear regression was conducted to assess the association between decision antecedents and the decision making process. Hierarchical linear regression was conducted to assess the relationships among decision antecedents, the decision making process, and decision outcomes. Results A total of 132 patients (mean age, 61 years) completed the survey. After adjustment for personal factors, 2 decision antecedents (namely, decision making self-efficacy and readiness) significantly predicted patients’ experiences of engaging in shared decision making (SDM). Decision making readiness and process were associated with fewer decisional conflicts and greater decision satisfaction. Limitations Models derived from cross-sectional surveys cannot establish causal relationships among decision antecedents, decision making processes, and decision outcomes. Conclusions Our results support the SDM framework, which proposes relationships among decision antecedents, the decision making process, and decision outcomes.

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Carpenter, Martha A. "The Process of Ethical Decision Making in Psychiatric Nursing Practice." Issues in Mental Health Nursing 12, no. 2 (January 1991): 179–91. http://dx.doi.org/10.3109/01612849109040513.

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Sandal, Candace L., Elizabeth R. Click, Donna A. Dowling, and Arlene Guzik. "The Decision-Making Process of Workers in Using Sick Time." Workplace Health & Safety 62, no. 8 (August 2014): 318–24. http://dx.doi.org/10.1177/216507991406200802.

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Francis, Leslie P., Barbara E. Bierer, and Michael Ashley Stein. "An Externalist, Process-Based Approach to Supported Decision-Making." American Journal of Bioethics 22, no. 10 (September 28, 2022): 55–58. http://dx.doi.org/10.1080/15265161.2022.2110979.

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Bierer, Barbara E., Ari Ne’eman, Willyanne DeCormier Plosky, David H. Strauss, Benjamin C. Silverman, and Michael Ashley Stein. "Integrating Supported Decision-Making into the Clinical Research Process." American Journal of Bioethics 21, no. 11 (October 28, 2021): 32–35. http://dx.doi.org/10.1080/15265161.2021.1980141.

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Thera, Rachel, Dr Tracey Carr, Dr Gary Groot, Nicole Baba, and Dr Kunal Jana. "Understanding Medical Decision-making in Prostate Cancer Care." American Journal of Men's Health 12, no. 5 (June 7, 2018): 1635–47. http://dx.doi.org/10.1177/1557988318780851.

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The availability of several treatment options for prostate cancer creates a situation where patients may need to come to a shared decision with their health-care team regarding their care. Shared decision-making (SDM) is the concept of a patient and a health-care professional collaborating to make decisions about the patient’s treatment course. Nurse navigators (NNs) are health-care professionals often involved in the SDM process. The current project sought to evaluate the way in which patients with prostate cancer make decisions regarding their care and to determine patients’ perspectives of the role of the NN in the SDM process. Eleven participants were recruited from the Prostate Assessment Centre by a NN. They were interviewed via telephone and their responses were analyzed using thematic analysis. Five interacting factors were determined to influence the way participants made decisions including level of anxiety, desire to maintain normalcy, support system quality, exposure to cancer narratives, and extent of practical concerns. NNs were found to increase knowledge, decrease indecision, and provide reassurance for participants. Based on the beneficial aspects of NN interaction reported in this study, the use of NNs in SDM programs should be encouraged. The results of the study demonstrate the complexity of the decision-making process when it comes to prostate cancer treatment. The factors elucidated in the study should be considered during the development and implementation of prostate cancer SDM programs.

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Lindbladh, Eva, and Carl Hampus Lyttkens. "Habit versus choice: the process of decision-making in health-related behaviour." Social Science & Medicine 55, no. 3 (August 2002): 451–65. http://dx.doi.org/10.1016/s0277-9536(01)00180-0.

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Bujkiewicz, Sylwia, Hayley E. Jones, Monica C. W. Lai, Nicola J. Cooper, Neil Hawkins, Hazel Squires, Keith R. Abrams, David J. Spiegelhalter, and Alex J. Sutton. "Development of a Transparent Interactive Decision Interrogator to Facilitate the Decision-Making Process in Health Care." Value in Health 14, no. 5 (July 2011): 768–76. http://dx.doi.org/10.1016/j.jval.2010.12.002.

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Stalnikowicz, Ruth, and Mayer Brezis. "Meaningful shared decision‐making: complex process demanding cognitive and emotional skills." Journal of Evaluation in Clinical Practice 26, no. 2 (April 2020): 431–38. http://dx.doi.org/10.1111/jep.13349.

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Bartoli, S., R. Tarricone, S. Benussi, P. Stefano, and G. Marinelli. "PCV103 TECHNOLOGICAL INNOVATION AND THE DECISION-MAKING PROCESS IN ITALIAN HOSPITALS." Value in Health 11, no. 6 (November 2008): A413—A414. http://dx.doi.org/10.1016/s1098-3015(10)66401-7.

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Loader, Katie. "Treatment of adjustment disorders in mental health crisis care: a reflective case study." British Journal of Mental Health Nursing 11, no. 3 (August 2, 2022): 1–10. http://dx.doi.org/10.12968/bjmh.2021.0002.

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Clinical decision-making is an integral part of the nursing process, as well as a study requirement at Master's level for the advanced professional practice pathway. This article uses Gibbs' reflective cycle as a framework to explore a clinical decision made in practice. Through presentation of a case study of a patient with an adjustment disorder, the authors explore the process of prescribing appropriate treatment in the context of an uncertain evidence base. The authors will examine decision-making and communication theories and consider any biases, as well as ethical, organisational and professional factors that may influence the decision-making process. The individual and organisational steps needed to embed robust decision-making into practice will be discussed.

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Skyring, Timothy A., Kylie J. Mansfield, and Judy R. Mullan. "Factors Affecting Satisfaction with the Decision-Making Process and Decision Regret for Men with a New Diagnosis of Prostate Cancer." American Journal of Men's Health 15, no. 4 (July 2021): 155798832110268. http://dx.doi.org/10.1177/15579883211026812.

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For men with newly diagnosed prostate cancer the decisions about treatment options are complex and difficult. The aim of this study was to investigate any association between the extent to which men wanted to be involved in the decision making process, their satisfaction with that process, and their levels of decision regret after treatment. The study population consisted of men diagnosed with prostate cancer at a regional center in Australia. Men ( n = 324) were invited to complete a mail out survey which included demographic questions, the treatment chosen, and three validated tools: The Control Preference Scale to measure the degree of control assumed when making decisions about medical interventions; the Treatment Decision-Making Satisfaction Scale (TDM- SAT) to assess satisfaction with the treatment decision making process; and the Decision Regret Scale to assess the level of regret after treatment. The majority of the 151 respondents (47% response rate) expressed an active decision control preference. There was no correlation between age and the treatment chosen or the degree of control men exerted over the decision-making process. Men who preferred a passive role were less satisfied with the decision-making process than were those who took an active or collaborative approach. A strong inverse correlation was demonstrated between regret experienced and satisfaction with the decision-making process. In conclusion, for men newly diagnosed with prostate cancer, taking an active role in the treatment decision making process led to greater satisfaction with that process, which in turn reduced their chances of experiencing regret following treatment.

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