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Norms of decision making in the ICU: a case study of two academic medical centers at the extremes of end-of-life treatment intensity.

ABSTRACT: To explore norms of decision making regarding life-sustaining treatments (LSTs) at two academic medical centers (AMCs) that contribute to their opposite extremes of end-of-life ICU use.We conducted a 4-week mixed methods case study at each AMC in 2008-2009 involving direct observation of patient care during rounds in the main medical ICU, semi-structured interviews with staff, patients, and families, and collection of artifacts (e.g., patient lists, standardized forms). We compared patterns of decision making regarding initiation, continuation, and withdrawal of LST using tests of proportions and grounded theory analysis of field note and interview transcripts.We observed 80 patients [26 (32.5 %) ?65 years old] staffed by 4 attendings, and interviewed 23 staff and 3 patients/families at the low-intensity AMC (LI-AMC), and observed 73 patients [26 (35.6 %) ?65 years old] staffed by 4 attending physicians and interviewed 26 staff and 4 patients/families at the high-intensity AMC (HI-AMC). LST initiation among patients over 65 was similar, except feeding tubes (0 % LI-AMC versus 31 % HI-AMC, p = 0.002). The LI-AMC was more likely to use a time-limited trial of LST, followed by withdrawal (27 vs. 8 %, p = 0.01) and to have a known outcome of death (31 vs. 4 %, p < 0.001). We identified qualitative differences in goals of LST, the determination of "dying," concern about harms of commission versus omission, and physician self-efficacy for LST decision making.Time-limited trials of LST at the LI-AMC and open-ended use of LST at the HI-AMC explain some of the AMCs' nationally profiled differences in end-of-life ICU use.

SUBMITTER: Barnato AE

PROVIDER: S-EPMC3684418 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature

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Norms of decision making in the ICU: a case study of two academic medical centers at the extremes of end-of-life treatment intensity.

Barnato Amber E AE Tate Judith A JA Rodriguez Keri L KL Zickmund Susan L SL Arnold Robert M RM

Intensive care medicine 20120901 11

<h4>Purpose</h4>To explore norms of decision making regarding life-sustaining treatments (LSTs) at two academic medical centers (AMCs) that contribute to their opposite extremes of end-of-life ICU use.<h4>Methods</h4>We conducted a 4-week mixed methods case study at each AMC in 2008-2009 involving direct observation of patient care during rounds in the main medical ICU, semi-structured interviews with staff, patients, and families, and collection of artifacts (e.g., patient lists, standardized f ...[more]

PMID: 22940755

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Project description:ImportanceThere is substantial institutional variability in the intensity of end-of-life care that is not explained by patient preferences. Hospital culture and institutional structures (eg, policies, practices, protocols, resources) might contribute to potentially nonbeneficial high-intensity life-sustaining treatments near the end of life.ObjectiveTo understand the role of hospital culture in the everyday dynamics of high-intensity end-of-life care.Design, setting, and participantsThis comparative ethnographic study was conducted at 3 academic hospitals in California and Washington that differed in end-of-life care intensity based on measures in the Dartmouth Atlas and included hospital-based clinicians, administrators, and leaders. Data were deductively and inductively analyzed using thematic analysis through an iterative coding process.Main outcome and measureInstitution-specific policies, practices, protocols, and resources and their role in the everyday dynamics of potentially nonbeneficial, high-intensity life-sustaining treatments.ResultsA total of 113 semistructured, in-depth interviews (66 women [58.4%]; 23 [20.4%] Asian, 1 [0.9%] Black, 5 [4.4%] Hispanic, 7 [6.2%] multiracial, and 70 [61.9%] White individuals) were conducted with inpatient-based clinicians and administrators between December 2018 and June 2022. Respondents at all hospitals described default tendencies to provide high-intensity treatments that they believed were universal in US hospitals. They also reported that proactive, concerted efforts among multiple care teams were required to deescalate high-intensity treatments. Efforts to deescalate were vulnerable to being undermined at multiple points during a patient's care trajectory by any individual or entity. Respondents described institution-specific policies, practices, protocols, and resources that engendered broadly held understandings of the importance of deescalating nonbeneficial life-sustaining treatments. Respondents at different hospitals reported different policies and practices that encouraged or discouraged deescalation. They described how these institutional structures contributed to the culture and everyday dynamics of end-of-life care at their institution.Conclusions and relevanceIn this qualitative study, clinicians, administrators, and leaders at the hospitals studied reported that they work in a hospital culture in which high-intensity end-of-life care constitutes a default trajectory. Institutional structures and hospital cultures shape the everyday dynamics by which clinicians may deescalate end-of-life patients from this trajectory. Individual behaviors or interactions may fail to mitigate potentially nonbeneficial high-intensity life-sustaining treatments if extant hospital culture or a lack of supportive policies and practices undermine individual efforts. Hospital cultures need to be considered when developing policies and interventions to decrease potentially nonbeneficial, high-intensity life-sustaining treatments.

Project description:BackgroundCommentators believe that the ethical decision-making climate is instrumental in enhancing interprofessional collaboration in intensive care units (ICUs). Our aim was twofold: (1) to determine the perception of the ethical climate, levels of moral distress, and intention to leave one's job among nurses and physicians, and between the different ICU types and (2) determine the association between the ethical climate, moral distress, and intention to leave.MethodsWe performed a cross-sectional questionnaire study between May 2021 and August 2021 involving 206 nurses and physicians in a large urban academic hospital. We used the validated Ethical Decision-Making Climate Questionnaire (EDMCQ) and the Measure of Moral Distress for Healthcare Professionals (MMD-HP) tools and asked respondents their intention to leave their jobs. We also made comparisons between the different ICU types. We used Pearson's correlation coefficient to identify statistically significant associations between the Ethical Climate, Moral Distress, and Intention to Leave.ResultsNurses perceived the ethical climate for decision-making as less favorable than physicians (p < 0.05). They also had significantly greater levels of moral distress and higher intention to leave their job rates than physicians. Regarding the ICU types, the Neonatal/Pediatric unit had a significantly higher overall ethical climate score than the Medical and Surgical units (3.54 ± 0.66 vs. 3.43 ± 0.81 vs. 3.30 ± 0.69; respectively; both p ≤ 0.05) and also demonstrated lower moral distress scores (both p < 0.05) and lower "intention to leave" scores compared with both the Medical and Surgical units. The ethical climate and moral distress scores were negatively correlated (r = -0.58, p < 0.001); moral distress and "intention to leave" was positively correlated (r = 0.52, p < 0.001); and ethical climate and "intention to leave" were negatively correlated (r = -0.50, p < 0.001).ConclusionsSignificant differences exist in the perception of the ethical climate, levels of moral distress, and intention to leave between nurses and physicians and between the different ICU types. Inspecting the individual factors of the ethical climate and moral distress tools can help hospital leadership target organizational factors that improve interprofessional collaboration, lessening moral distress, decreasing turnover, and improved patient care.

Project description:ObjectivesResearch indicates that the increasing population of over 25 million people in the United States who have limited English proficiency experience differences in decision-making and subsequent care at end of life in the ICU when compared with the general population. The objective of this study was to assess the perceptions of healthcare team members about the factors that influence discussions and decision-making about end of life for patients and family members with limited English proficiency in the ICU.DesignQualitative study using semistructured interviews with ICU physicians, nurses, and interpreters.SettingThree ICUs at Mayo Clinic Rochester.SubjectsSixteen ICU physicians, 12 ICU nurses, and 12 interpreters.InterventionNone.Measurements and main resultsWe conducted 40 semistructured interviews. We identified six key differences in end-of-life decision-making for patients with limited English proficiency compared with patients without limited English proficiency: 1) clinician communication is modified and less frequent; 2) clinician ability to assess patient and family understanding is impaired; 3) relationship building is impaired; 4) patient and family understanding of decision-making concepts (e.g., palliative care) is impaired; 5) treatment limitations are often perceived to be unacceptable due to faith-based and cultural beliefs; and 6) patient and family decision-making styles are different. Facilitators of high-quality decision-making in patients with limited English proficiency included: 1) premeeting between clinician and interpreter; 2) interpretation that communicates empathy and caring; 3) bidirectional communication of cultural perspectives; 4) interpretation that improves messaging including appropriate word choice; and 5) clinician cultural humility.ConclusionsEnd-of-life decision-making is significantly different for ICU patients with limited English proficiency. Participants identified several barriers and facilitators to high-quality end-of-life decision-making for ICU patients and families with limited English proficiency. Awareness of these factors can facilitate interventions to improve high-quality, compassionate, and culturally sensitive decision-making for patients and families with limited English proficiency.

Project description:BackgroundAcademic Medical Centers (AMCs) must simultaneously serve different purposes: Delivery of high quality healthcare services to patients, as the main mission, supported by other core missions such as academic activities, i.e., researching, teaching and tutoring, while maintaining solvency. This study aims to develop a methodology for constructing models evaluating the academic value provided by AMCs and implementing it at the largest AMC in Israel.MethodsThirty five practiced educators and researchers, academic experts, faculty members and executives, all employed by a metropolitan 1500-bed AMC, were involved in developing academic quality indicators. First, an initial list of AMCs' academic quality indicators was drafted, using a literature review and consulting scholars. Afterwards, additional data and preferences were collected by conducting semi-structured interviews, complemented by a three-round Delphi Panel. Finally, the methodology for constructing a model evaluating the academic value provided by the AMC was developed.ResultsThe composite academic quality indicators methodology consists of nine indicators (relative weight in parentheses): 'Scientific Publications Value' (18.7%), 'Completed Studies' (13.5%), 'Authors Value' (13.0%), 'Residents Quality' (11.3%), 'Competitive Grants Budget' (10.2%), 'Academic Training' (8.7%), 'Academic Positions' (8.3%), 'Number of Studies' (8.3%) and 'Academic Supervision' (8.0%). These indicators were grouped into three core categories: 'Education', 'Research' and 'Publications', having almost the same importance on a scale from zero to one (0-1), i.e., 0.363, 0.320, and 0.317, respectively. The results demonstrated a high level of internal consistency (Cronbach-alpha range: 0.79-0.86).ConclusionsWe have found a gap in the ability to measure academic value provided by AMCs. The main contribution of this research is the development of methodology for constructing evaluation models for AMCs academic performance. Further studies are needed to further test the validity and reliability of the proposed methodology at other sites.

Project description:BackgroundDual processing theory of human cognition postulates that reasoning and decision-making can be described as a function of both an intuitive, experiential, affective system (system I) and/or an analytical, deliberative (system II) processing system. To date no formal descriptive model of medical decision-making based on dual processing theory has been developed. Here we postulate such a model and apply it to a common clinical situation: whether treatment should be administered to the patient who may or may not have a disease.MethodsWe developed a mathematical model in which we linked a recently proposed descriptive psychological model of cognition with the threshold model of medical decision-making and show how this approach can be used to better understand decision-making at the bedside and explain the widespread variation in treatments observed in clinical practice.ResultsWe show that physician's beliefs about whether to treat at higher (lower) probability levels compared to the prescriptive therapeutic thresholds obtained via system II processing is moderated by system I and the ratio of benefit and harms as evaluated by both system I and II. Under some conditions, the system I decision maker's threshold may dramatically drop below the expected utility threshold derived by system II. This can explain the overtreatment often seen in the contemporary practice. The opposite can also occur as in the situations where empirical evidence is considered unreliable, or when cognitive processes of decision-makers are biased through recent experience: the threshold will increase relative to the normative threshold value derived via system II using expected utility threshold. This inclination for the higher diagnostic certainty may, in turn, explain undertreatment that is also documented in the current medical practice.ConclusionsWe have developed the first dual processing model of medical decision-making that has potential to enrich the current medical decision-making field, which is still to the large extent dominated by expected utility theory. The model also provides a platform for reconciling two groups of competing dual processing theories (parallel competitive with default-interventionalist theories).

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Norms of decision making in the ICU: a case study of two academic medical centers at the extremes of end-of-life treatment intensity.

Publications

Norms of decision making in the ICU: a case study of two academic medical centers at the extremes of end-of-life treatment intensity.

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