Dataset Information

Inner Deliberations of Surgeons Treating Critically-ill Emergency General Surgery Patients: A Qualitative Analysis.

ABSTRACT:

Background

30% of elderly patients who require emergency general surgery (EGS) die in the year after the operation. Preoperative discussions can determine whether patients receive preference-sensitive care. Theoretically, surgeons frame their conversations after systematically assessing the risks and benefits of management options based on the clinical characteristics of each case. However, little is known about how surgeons actually deliberate about those options.

Objective

To identify variables that influence surgeons' assessment of management options for critically-ill EGS patients.

Methods

We conducted semi-structured interviews with 40 general surgeons in western Pennsylvania who worked in a variety of hospital settings. Interviews explored perioperative decision-making by asking surgeons to think aloud about selected memorable cases and a standardized case vignette of a frail patient with acute mesenteric ischemia. We used constant comparative methods to analyze interview transcripts and inductively developed a framework for the decision-making process.

Results

Surgeons averaged 13 years (standard deviation (SD) 10.4) of experience; 40% specialized in trauma/acute care surgery. Important themes regarding the main topic of "perioperative decision-making" included many considerations beyond the clinical characteristics of cases. Surgeons described the importance of variables ranging from the availability of institutional resources to professional norms. Surgeons often remarked on their desire to achieve individual flow, team efficiency, and concordant expectations of treatment and prognosis with patients.

Conclusions

This is the first study to explore how surgeons decide among management options for critically-ill EGS patients. Surgeons' decision-making reflected a broad array of clinical, personal, and institutional variables. Effective interventions to ensure preference-sensitive care for EGS patients must address all of these variables.

SUBMITTER: Kulkarni SS

PROVIDER: S-EPMC7944485 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Publications

Inner Deliberations of Surgeons Treating Critically-ill Emergency General Surgery Patients: A Qualitative Analysis.

Kulkarni Shreyus S SS Briggs Alexandra A Sacks Olivia A OA Rosengart Matthew R MR White Douglas B DB Barnato Amber E AE Peitzman Andrew B AB Mohan Deepika D

Annals of surgery 20211201 6

<h4>Background</h4>30% of elderly patients who require emergency general surgery (EGS) die in the year after the operation. Preoperative discussions can determine whether patients receive preference-sensitive care. Theoretically, surgeons frame their conversations after systematically assessing the risks and benefits of management options based on the clinical characteristics of each case. However, little is known about how surgeons actually deliberate about those options.<h4>Objective</h4>To id ...[more]

PMID: 31714316

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Project description:Background: Systemic inflammation is a whole body reaction that can have an infection-positive (i.e. sepsis) or infection-negative origin. It is important to distinguish between septic and non-septic presentations early and reliably, because this has significant therapeutic implications for critically ill patients. We hypothesized that a molecular classifier based on a small number of RNAs expressed in peripheral blood could be discovered that would: 1) determine which patients with systemic inflammation had sepsis; 2) be robust across independent patient cohorts; 3) be insensitive to disease severity; and 4) provide diagnostic utility. The overall goal of this study was to identify and validate such a molecular classifier. Methods and Findings: We conducted an observational, non-interventional study of adult patients recruited from tertiary intensive care units (ICU). Biomarker discovery was conducted with an Australian cohort (n = 105) consisting of sepsis patients and post -surgical patients with infection-negative systemic inflammation. Using this cohort, a four-gene classifier consisting of a combination of CEACAM4, LAMP1, PLA2G7 and PLAC8 RNA biomarkers was identified. This classifier, designated SeptiCyteÂ® Lab, was externally validated using RT-qPCR and receiver operating characteristic (ROC) curve analysis in five cohorts (n = 345) from the Netherlands. Cohort 1 (n=59) consisted of unambiguous septic cases and infection-negative systemic inflammation controls; SeptiCyteÂ® Lab gave an area under curve (AUC) of 0.96 (95% CI: 0.91-1.00). ROC analysis of a more heterogeneous group of patients (Cohorts 2-5; 249 patients after excluding 37 patients with infection likelihood possible) gave an AUC of 0.89 (95% CI: 0.85-0.93). Disease severity, as measured by Sequential Organ Failure Assessment (SOFA) score or the Acute Physiology and Chronic Health Evaluation (APACHE) IV score, was not a significant confounding variable. The diagnostic utility o f SeptiCyteÂ® Lab was evaluated by comparison to various clinical and laboratory parameters that would be available to a clinician within 24 hours of ICU admission. SeptiCyteÂ® Lab was significantly better at differentiating sepsis from infection-negative systemic inflammation than all tested parameters, both singly and in various logistic combinations. SeptiCyteÂ® Lab more than halved the diagnostic error rate compared to PCT in all tested cohorts or cohort combinations. Conclusions: SeptiCyteÂ® Lab is a rapid molecular assay that may be clinically useful in the management of ICU patients with systemic inflammation. SIRS and Sepsis ICU patients, admission samples Retrospective, mutli-site sutdy using retrospective physician adjudication as a comparator

Dataset Information

Inner Deliberations of Surgeons Treating Critically-ill Emergency General Surgery Patients: A Qualitative Analysis.

Background

Objective

Methods

Results

Conclusions

Publications

Inner Deliberations of Surgeons Treating Critically-ill Emergency General Surgery Patients: A Qualitative Analysis.

Similar Datasets

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