Evaluating the implementation of confusion assessment method-intensive care unit using a quality improvement approach

The Confusion Assessment Method in action: Implementation of a protocol to increase delirium screening and diagnosis

The use of the Confusion Assessment Method (CAM) for delirium assessment in real-life can be inconsistent. We examined the impact of a protocol on delirium screening and detection in hospitalized older adults using the CAM. We analyzed data from 32,338 admissions to a quaternary hospital between 2018 and 2022. We assessed the percentage of admissions screened for delirium, adherence to daily screening, positive screening, and overlap with ICD-10 coding. The percentage of admissions screened for delirium increased from 74% in 2018 to 98.7% in 2022. Adherence to daily screening was achieved in 24.5% of admissions, and the percentage of positive screenings fluctuated between 8.4% and 11.5%. Among the admissions with a delirium-related ICD-10 code, 32% had a positive screening, 62% were negative, and 6% remained unscreened. While implementing a protocol increased the proportion of admissions screened for delirium, adherence to daily screening and consistency of positive delirium screenings remain areas for improvement.

Psychotherapy: A tool to prevent postoperative delirium?

The value of psychotherapy in surgical patients suffering from postoperative delirium is unclear. Options for the treatment of established postoperative delirium are few; therapy largely relies on the avoidance of postoperative delirium facilitating factors, like specific drugs and environmental factors in the perioperative setting. Established medical therapies' efficacy in terms of decreasing incidence of postoperative delirium is very low. The aim of this project is to suggest new therapeutic options in the form of cognitive behavioural therapy as a possible preventive and psychotherapeutic treatment of postoperative delirium. Life expectancy in developed countries increases worldwide and both the need for surgical treatment and the probability of postoperative delirium occurrence increase with age. Due to the necessity of addressing the individual's negative consequences of postoperative delirium and to optimise socioeconomical needs, new therapeutic options for the treatment of postoperative delirium are desperately needed.

Mapping research findings on change implementation in nursing practice: A scoping literature review

AIMS

The aim of this study was to map the diverse factors impacting change implementation in nursing practices and investigate different implementation strategies.

DESIGN

Scoping literature review following PRISMA-ScR extension.

METHODS

Data were collected from PubMed, Ebsco, Scopus and ScienceDirect databases from 1990 onwards. Only English peer-reviewed studies reporting an implementation of change in nursing practice were included. Of 9,954 studies, 425 abstracts were scanned and 98 full-text articles were screened. Finally, 28 studies were selected.

RESULTS

A multifaceted approach, with a tailored intervention, was the most effective implementation strategy. Most identified factors were considered systematic, for example resource availability, leadership and knowledge. However, others related to local social and material context were identified in fewer number of studies. These seem to be operational elements for implementation processes. Both types of factors are essential and must be considered for successful implementation.

CONCLUSION

We advocate the development of framework including systematic factors and which capture the local context flexibility.

A machine learning approach to identifying delirium from electronic health records

The identification of delirium in electronic health records (EHRs) remains difficult due to inadequate assessment or under-documentation. The purpose of this research is to present a classification model that identifies delirium using retrospective EHR data. Delirium was confirmed with the Confusion Assessment Method for the Intensive Care Unit. Age, sex, Elixhauser comorbidity index, drug exposures, and diagnoses were used as features. The model was developed based on the Columbia University Irving Medical Center EHR data and further validated with the Medical Information Mart for Intensive Care III dataset. Seventy-six patients from Surgical/Cardiothoracic ICU were included in the model. The logistic regression model achieved the best performance in identifying delirium; mean AUC of 0.874 ± 0.033. The mean positive predictive value of the logistic regression model was 0.80. The model promises to identify delirium cases with EHR data, thereby enable a sustainable infrastructure to build a retrospective cohort of delirium.

Delirium is a commonly observed complication in hospitalized patients, especially with intensive care. While signs and symptoms of delirium could be observed and well managed during the hospital stay, less is known about the long-term complication of delirium after discharge. In order to monitor the long-term sequelae of delirium, the correct identification of delirium patients is crucial. Currently, the retrospective identification of delirium patients is limited due to the under-coding of delirium diagnosis in electronic health records. We proposed a simple machine-learning model to retrospectively identify patients who experienced delirium during their intensive care unit stay. The model could be used to identify missed delirium cases and the establishment of a delirium cohort for long-term monitoring and surveillance.

Understanding how and why audits work in improving the quality of hospital care: A systematic realist review

BACKGROUND

Several types of audits have been used to promote quality improvement (QI) in hospital care. However, in-depth studies into the mechanisms responsible for the effectiveness of audits in a given context is scarce. We sought to understand the mechanisms and contextual factors that determine why audits might, or might not, lead to improved quality of hospital care.

METHODS

A realist review was conducted to systematically search and synthesise the literature on audits. Data from individual papers were synthesised by coding, iteratively testing and supplementing initial programme theories, and refining these theories into a set of context-mechanism-outcome configurations (CMOcs).

RESULTS

From our synthesis of 85 papers, seven CMOcs were identified that explain how audits work: (1) externally initiated audits create QI awareness although their impact on improvement diminishes over time; (2) a sense of urgency felt by healthcare professionals triggers engagement with an audit; (3) champions are vital for an audit to be perceived by healthcare professionals as worth the effort; (4) bottom-up initiated audits are more likely to bring about sustained change; (5) knowledge-sharing within externally mandated audits triggers participation by healthcare professionals; (6) audit data support healthcare professionals in raising issues in their dialogues with those in leadership positions; and (7) audits legitimise the provision of feedback to colleagues, which flattens the perceived hierarchy and encourages constructive collaboration.

CONCLUSIONS

This realist review has identified seven CMOcs that should be taken into account when seeking to optimise the design and usage of audits. These CMOcs can provide policy makers and practice leaders with an adequate conceptual grounding to design contextually sensitive audits in diverse settings and advance the audit research agenda for various contexts.

PROSPERO REGISTRATION

CRD42016039882.

Effectiveness of an advanced practice nurse-led delirium education and training programme

AIM

To develop an education and training programme to enhance bedside nurses' knowledge, competency and compliance in accurately performing delirium screening in intensive care units.

BACKGROUND

Delirium in intensive care units is associated with several poor patient outcomes. Delirium detection can be improved by enhancing nurses' knowledge, competency and compliance in accurately performing delirium screening.

METHODS

A descriptive quantitative study with pretest-post-test design was adopted. There were 245 nurses from five intensive care units who participated in the study. Multiple-choice questions were used to assess nurses' knowledge change before and after the education programme. Competency was assessed before and 2 months after the programme by simulation with a standardized patient, followed by real patients at the bedside. Compliance data on screening were collected from the documentation of the Richmond Agitation-Sedation Scale and the Confusion Assessment Method for the ICU before and 3 and 10 months after the programme. Data collection took 1 year, from June 2014 to May 2015.

RESULTS

Despite nurses' improved knowledge and good competency, delirium screening documentations after 3 months were poor. However, screening documentations subsequently improved when measured at 10 months, following further emphasis by the senior nursing staff.

IMPLICATIONS FOR NURSING PRACTICE AND POLICY

Nursing administrators and bedside nurses need to be involved in the policy-making process and plan a training programme for the new nursing staff in the high-risk areas. A short refreshment course should be offered to the nursing staff 3 months after the initial training programme.

CONCLUSIONS

Improved knowledge and competency in assessment did not improve compliance and documentation of delirium screening. Therefore, it is important to reinforce nurses' compliance of delirium screening over time.