scholarly journals Predicting end-stage renal disease: Bayesian perspective of information transfer in the clinical decision-making process at the individual level

2003 ◽  
Vol 63 (5) ◽  
pp. 1924-1933 ◽  
Author(s):  
Borislav D. Dimitrov ◽  
Annalisa Perna ◽  
Piero Ruggenenti ◽  
Giuseppe Remuzzi
Keyword(s):  
Decision Making ◽  
End Stage Renal Disease ◽  
Information Transfer ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Individual Level ◽  
The Individual ◽  
Stage Renal Disease ◽  
End Stage

Integrating Research Into the Clinic

2002 ◽  
Vol 92 (2) ◽  
pp. 115-122 ◽  
Author(s):  
Anne-Maree Keenan ◽  
Anthony C. Redmond
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Research Evidence ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Research Process ◽  
Decision Making Process ◽  
Evidence Based ◽  
Clinical Environment ◽  
The Individual

This paper is the first in a series of three aimed at introducing clinicians to current concepts in research, and outlining how they may be able to apply these concepts to their own clinical practice. It has become evident in recent years that while many practitioners may not want to become actively involved in the research process, simply keeping abreast of the burgeoning publication base will create new demands on their time, and will often require the acquisition of new skills. This series introduces the philosophies of integrating what sometimes may appear to be abstract research into the realities of the clinical environment. It will provide practitioners with an accessible summary of the tools required in order to understand the research process. For some, it is hoped this series may provide some impetus for the contemplative practitioner to become a more active participant in the research process. This first paper addresses how the evidence based practice (EBP) revolution can be used to empower the individual practitioner and how good quality evidence can improve the overall clinical decision making process. It also suggests key strategies by which the clinician may try to enhance their clinical decision making process and make research evidence more applicable to their day to day clinical practice. (J Am Podiatr Med Assoc 92(2): 115-122, 2002)

Benner’s Framework and Clinical Decision-Making in the Critical Care Environment

2016 ◽  
Vol 30 (1) ◽  
pp. 52-57 ◽  
Author(s):  
Kristi J. Stinson
Keyword(s):  
Decision Making ◽  
Critical Care ◽  
Clinical Experience ◽  
Strong Correlation ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Clinical Experiences ◽  
Care Environment ◽  
Decision Making Processes

Completed as part of a larger dissertational study, the purpose of this portion of this descriptive correlational study was to examine the relationships among registered nurses’ clinical experiences and clinical decision-making processes in the critical care environment. The results indicated that there is no strong correlation between clinical experience in general and clinical experience in critical care and clinical decision-making. There were no differences found in any of the Benner stages of clinical experience in relation to the overall clinical decision-making process.

scholarly journals Pet owners’ and veterinarians’ perceptions of information exchange and clinical decision-making in companion animal practice

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245632
Author(s):  
Natasha Janke ◽  
Jason B. Coe ◽  
Theresa M. Bernardo ◽  
Cate E. Dewey ◽  
Elizabeth A. Stone
Keyword(s):  
Decision Making ◽  
Focus Groups ◽  
Information Exchange ◽  
Clinical Decision Making ◽  
Current Knowledge ◽  
Exchange Process ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Pet Owners ◽  
Pet Owner

One of the most complex aspects of the veterinarian-client-patient interaction is the clinical decision-making process. Research suggests that the approach to communication used by veterinarians can impact veterinary clients’ involvement in the decision-making process and their ultimate satisfaction. Using different approaches to the decision-making process may affect how information is exchanged and consequently how decisions are made. The objective of this study was to determine pet owners’ expectations with respect to information exchange and decision-making during veterinarian-client-patient interactions and to compare veterinarians’ perceptions of those expectations and the challenges they face in meeting them. Five pet owner focus groups (27 owners) and three veterinarian focus groups (24 veterinarians) were conducted with standardized open-ended questions and follow-up probes. Thematic analysis of the transcribed data was conducted to identify trends and patterns that emerged during the focus groups. Three pet owner-based themes were identified: 1) understanding the client; 2) providing information suitable for the client; and 3) decision-making. In addition, three barriers for veterinarians affecting information exchange and decision-making were identified: 1) time constraints; 2) involvement of multiple clients; and 3) language barriers. Results suggest that pet owners expect to be supported by their veterinarian to make informed decisions by understanding the client’s current knowledge, tailoring information and educating clients about their options. Breakdowns in the information exchange process can impact pet owners’ perceptions of veterinarians’ motivations. Pet owners’ emphasis on partnership suggests that a collaborative approach between veterinarians and clients may improve client satisfaction.

scholarly journals Anticoagulation in Patients with End-Stage Renal Disease and Atrial Fibrillation: Confusion, Concerns and Consequences

2020 ◽  
Vol 22 (3) ◽  
pp. 306-316
Author(s):  
Narender Goel ◽  
Deepika Jain ◽  
Danny B. Haddad ◽  
Divya Shanbhogue
Keyword(s):  
Atrial Fibrillation ◽  
Renal Disease ◽  
End Stage Renal Disease ◽  
Clinical Decision Making ◽  
Controlled Trial ◽  
Oral Anticoagulants ◽  
Increased Risk ◽  
Stage Renal Disease ◽  
End Stage ◽  
Esrd Patients

End-stage renal disease (ESRD) patients have a higher prevalence of diabetes mellitus, hypertension, congestive heart failure and advanced age, along with an increased incidence of non-valvular atrial fibrillation (AF), thereby increasing the risk for cerebrovascular accidents. Systemic anticoagulation is therefore recommended in patients with ESRD with AF to reduce the risk and complications from thromboembolism. Paradoxically, these patients are at an increased risk of bleeding due to great degree of platelet dysfunction and impaired interaction between platelet and endothelium. Currently, CHA2DS2-VASc and Hypertension, Abnormal liver/kidney function, Stroke, Bleeding, Labile INR, Elderly, Drugs or alcohol (HAS-BLED) are the recommended models for stroke risk stratification and bleeding risk assessment in patients with AF. There is conflicting data regarding benefits and risks of medications such as antiplatelet agents, warfarin and direct oral anticoagulants in ESRD patients with AF. Moreover, there is no randomized controlled trial data to guide the clinical decision making. Hence, a multi-disciplinary approach with annual re-evaluation of treatment goals and risk-benefit assessment has been recommended. In this article, we review the current recommendations with risks and benefits of anticoagulation in patients with ESRD with AF.

scholarly journals Factors Influencing Physicians' Clinical Decision-making at Upazila Health Complexes in Bangladesh

2020 ◽  
Vol 3 (4) ◽  
pp. 125-133
Author(s):  
M. Aminul Islam ◽  
M. Abdul Awal
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Clinical Decision Making ◽  
Average Length ◽  
Clinical Decision ◽  
Primary Data ◽  
Decision Making Process ◽  
Cross Sectional ◽  
The Right ◽  
Consultation Session

ABSTRACT Introduction Selecting the most appropriate treatment for each patient is the key activity in patient-physician encounters and providing healthcare services. Achieving desirable clinical goals mostly depends on making the right decision at the right time in any healthcare setting. But little is known about physicians' clinical decision-making in the primary care setting in Bangladesh. Therefore, this study explored the factors that influence decisions about prescribing medications, ordering pathologic tests, counseling patients, average length of patient visits in a consultation session, and referral of patients to other physicians or hospitals by physicians at Upazila Health Complexes (UHCs) in the country. It also explored the structure of physicians' social networks and their association with the decision-making process. Methods This was a cross-sectional descriptive study that used primary data collected from 85 physicians. The respondents, who work at UHCs in the Rajshahi Division, were selected purposively. The collected data were analyzed with descriptive statistics including frequency, percentage, one-way analysis of variance, and linear regression to understand relationships among the variables. Results The results of the study reveal that multiple factors influence physicians' decisions about prescribing medications, ordering pathologic tests, length of visits, counseling patients, and referring patients to other physicians or hospitals at the UHCs. Most physicians prescribe drugs to their patients, keeping in mind their purchasing capacity. Risk of violence by patients' relatives and better management are the two key factors that influence physicians' referral decisions. The physicians' professional and personal social networks also play an influential role in the decision-making process. It was found that physicians dedicate on average 16.17 minutes to a patient in a consultation session. The length of visits is influenced by various factors including the distance between the physicians' residence and their workplace, their level of education, and the number of colleagues with whom they have regular contact and from whom they can seek help. Conclusion The results of the study have yielded some novel insights about the complexity of physicians' everyday tasks at the UHCs in Bangladesh. The results would be of interest to public health researchers and policy makers.

Clinical Problem Solving: Decreased Level of Consciousness and Unexplained Hydrocephalus

2022 ◽  
pp. 194187442110567
Author(s):  
Naomi Niznick ◽  
Ronda Lun ◽  
Daniel A. Lelli ◽  
Tadeu A. Fantaneanu
Keyword(s):  
Decision Making ◽  
Differential Diagnosis ◽  
Clinical Decision Making ◽  
Clinical Problem ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Clinical Problem Solving ◽  
Level Of Consciousness ◽  
History Of

We present a clinical reasoning case of 42-year-old male with a history of type 1 diabetes who presented to hospital with decreased level of consciousness. We review the approach to coma including initial approach to differential diagnosis and investigations. After refining the diagnostic options based on initial investigations, we review the clinical decision-making process with a focus on narrowing the differential diagnosis, further investigations, and treatment.

Likelihood Ratio, Skull Roentgenograms, and Clinical Decision-Making

PEDIATRICS ◽  
1983 ◽  
Vol 71 (4) ◽  
pp. 673-674
Author(s):  
JOHN C. LEONIDAS ◽  
ANNA BINKIEWICZ ◽  
R. MICHAEL SCOTT ◽  
STEPHEN G. PAUKER
Keyword(s):  
Decision Making ◽  
Likelihood Ratio ◽  
Predictive Value ◽  
Clinical Finding ◽  
Posterior Probability ◽  
Clinical Decision Making ◽  
Skull Fracture ◽  
Clinical Decision ◽  
Negative Finding ◽  
The Individual

In Reply.— We appreciate the thoughtful comments of Leventhal and Lembo and concur with their conclusion that the clinician needs to know "the probability of skull fracture in a patient with head trauma." Unfortunately, their proposed "clinical likelihood ratio" (CR) will not further that end because it compares the predictive value (or, more precisely, the posterior probability) of a skull fracture after a positive clinical finding to the posterior probability after a negative finding. After the patient has been examined, the patient does not have both findings; thus, the CR cannot apply to the individual patient.

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