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Bringing close others to the emergency department for an acute coronary event is associated with increased patient perception of threat.

ABSTRACT: OBJECTIVE:Relationship quality is one of the most consistent psychosocial predictors of physical and mental health. Yet, little research examines relationship types or support within the immediate context of acute health events. We tested the unexplored role that close others play in patients' experience of threat during evaluation for acute coronary syndrome (ACS) in the Emergency Department (ED), as well as the indirect effect of close others on ACS-induced posttraumatic stress disorder (PTSD). METHOD:Participants were 871 patients evaluated for ACS at an urban academic ED (60.86?years old; 54.08% male; 56.37% Hispanic, 19.86% Black, 16.65% White). Threat perceptions were assessed in-ED and median 3?days later. ACS-induced PTSD was assessed median 41?days later using the PTSD checklist cued to a specific stressor. Non-overlapping categories were created representing close others in the ED (i.e., spouse/significant other, child), non-close others (e.g., neighbor), or no one. RESULTS:Patients who brought close others recalled experiencing greater threat in the ED: vs. no one, b?=?0.11, p?=?.072; vs. non-close others, b?=?0.16, p?=?.030. There was no direct effect of close others on ACS-induced PTSD; however, recalled threat mediated the effect of close others on development of ACS-induced PTSD, ps?

SUBMITTER: Cornelius T

PROVIDER: S-EPMC6353683 | biostudies-literature | 2019 Jan - Feb

REPOSITORIES: biostudies-literature

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Project description:BackgroundThere is a high degree of variability in assessing the preventability of adverse drug events, limiting the ability to compare rates of preventable adverse drug events across different studies. We compared three methods for determining preventability of adverse drug events in emergency department patients and explored their strengths and weaknesses.MethodsThis mixed-methods study enrolled emergency department patients diagnosed with at least one adverse drug event from three prior prospective studies. A clinical pharmacist and physician reviewed the medical and research records of all patients, and independently rated each event's preventability using a "best practice-based" approach, an "error-based" approach, and an "algorithm-based" approach. Raters discussed discordant ratings until reaching consensus. We assessed the inter-rater agreement between clinicians using the same assessment method, and between different assessment methods using Cohen's kappa with 95% confidence intervals (95% CI). Qualitative researchers observed discussions, took field notes, and reviewed free text comments made by clinicians in a "comment" box in the data collection form. We developed a coding structure and iteratively analyzed qualitative data for emerging themes regarding the application of each preventability assessment method using NVivo.ResultsAmong 1356 adverse drug events, a best practice-based approach rated 64.1% (95% CI: 61.5-66.6%) of events as preventable, an error-based approach rated 64.3% (95% CI: 61.8-66.9%) of events as preventable, and an algorithm-based approach rated 68.8% (95% CI: 66.1-71.1%) of events as preventable. When applying the same method, the inter-rater agreement between clinicians was 0.53 (95% CI: 0.48-0.59), 0.55 (95%CI: 0.50-0.60) and 0.55 (95% CI: 0.49-0.55) for the best practice-, error-, and algorithm-based approaches, respectively. The inter-rater agreement between different assessment methods using consensus ratings for each ranged between 0.88 (95% CI 0.85-0.91) and 0.99 (95% CI 0.98-1.00). Compared to a best practice-based assessment, clinicians believed the algorithm-based assessment was too rigid. It did not account for the complexities of and variations in clinical practice, and frequently was too definitive when assigning preventability ratings.ConclusionThere was good agreement between all three methods of determining the preventability of adverse drug events. However, clinicians found the algorithmic approach constraining, and preferred a best practice-based assessment method.

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Bringing close others to the emergency department for an acute coronary event is associated with increased patient perception of threat.

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