Healthcare providers' knowledge and handling of impairments after intensive unit treatment: A questionnaire survey

Patients' and relatives' experiences of cognitive impairment following an intensive care unit admission. A qualitative study

BACKGROUND

Cognitive impairment poses a significant challenge following critical illness in the intensive care unit. A knowledge gap exists concerning how patients experience cognitive impairments.

OBJECTIVES

The aim was to explore patients' and relatives' experiences of patients' cognitive impairment due to critical illness following an intensive care unit admission.

METHODS

A qualitative multicentre study was conducted in Denmark with 3- and 6-month follow-ups using single and dyadic interviews. A phenomenological hermeneutic approach was adopted using a Ricoeur-inspired textual in-depth analysis method. The Consolidated Criteria for Reporting Qualitative Research checklist was used.

RESULTS

Three themes emerged from interviews with 18 patients and 14 relatives: 'It feels like living in a parallel world', 'Getting back to a normal everyday life with a vulnerable self', and 'Managing everyday life using self-invented strategies'. Patients used self-invented strategies to manage their vulnerability and newly acquired cognitive impairments when no help or support was provided specifically targeting their cognitive impairments. Not being as cognitively capable as they previously had been turned their lives upside down. Losing control and not being themselves made them vulnerable. Patients did not want to burden others. However, support from relatives was invaluable in their recovery and rehabilitation.

CONCLUSIONS

Patients experienced multiple cognitive impairments affecting their adaption to everyday life. They strove to overcome their vulnerability using a variety of self-invented strategies and activities.

Cognitive impairment in critically ill patients and former critically ill patients: A concept analysis

OBJECTIVES

This concept analysis aimed to clarify the meaning of the concept of cognitive impairment in critically ill patients throughout the trajectory of their rehabilitation during and after an intensive care unit admission.

REVIEW METHODS USED

This study used concept analysis based on Rodgers' evolutionary method.

DATA SOURCES

A systematic search was conducted in Cumulative Index to Nursing and Allied Health Literature, Public MEDLINE, and American Psychological Associations PsycINFO. The web was searched for grey literature.

REVIEW METHODS

Overall search terms used were "patients with cognitive impairments" AND "intensive care unit". Literature published between 2008 and 2022 was included and screened by title and abstract using systematic review software. The descriptive analysis focussed on surrogate terms/related concepts, attributes, and contextual basis.

RESULTS

Thirty studies were included, representing variability in study design and country of origin. The analysis uncovered descriptions of the general terminology and the temporal trajectory of the concept, spanning from the acute phase to a long-term perspective. Attributes of the concept were described as delirium and domains of cognition. Antecedents were juxtaposed to risk factors, which were multifactorial. Consequences of cognitive impairment related to patients' quality of life, such as a decline in their ability to function independently, return to work, and manage everyday life. Also, cognitive impairment was identified as a significant public health problem.

CONCLUSION

Cognitive impairment is a complex concept with many surrogate and related terms. Furthermore, the concept is inextricably intertwined with the concepts of delirium and post-intensive care syndrome. Cognitive impairment may manifest as symptoms that can be challenging to identify and assess due to limitations in current screening tools and the absence of a consensus on timing. In relation to assessment and preventive strategies, the findings underline the need to distinguish between acute and long-term cognitive impairment.

REGISTRATION

There is no study registration number.

Prediction Models for Physical, Cognitive, and Mental Health Impairments After Critical Illness: A Systematic Review and Critical Appraisal

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Objectives:

Improved ability to predict impairments after critical illness could guide clinical decision-making, inform trial enrollment, and facilitate comprehensive patient recovery. A systematic review of the literature was conducted to investigate whether physical, cognitive, and mental health impairments could be predicted in adult survivors of critical illness.

Data Sources:

A systematic search of PubMed and the Cochrane Library (Prospective Register of Systematic Reviews ID: CRD42018117255) was undertaken on December 8, 2018, and the final searches updated on January 20, 2019.

Study Selection:

Four independent reviewers assessed titles and abstracts against study eligibility criteria. Studies were eligible if a prediction model was developed, validated, or updated for impairments after critical illness in adult patients. Discrepancies were resolved by consensus or an independent adjudicator.

Data Extraction:

Data on study characteristics, timing of outcome measurement, candidate predictors, and analytic strategies used were extracted. Risk of bias was assessed using the Prediction model Risk Of Bias Assessment Tool.

Data Synthesis:

Of 8,549 screened studies, three studies met inclusion. All three studies focused on the development of a prediction model to predict (1) a mental health composite outcome at 3 months post discharge, (2) return-to-pre-ICU functioning and residence at 6 months post discharge, and (3) physical function 2 months post discharge. Only one model had been externally validated. All studies had a high risk of bias, primarily due to the sample size, and statistical methods used to develop and select the predictors for the prediction published model.

Conclusions:

We only found three studies that developed a prediction model of any post-ICU impairment. There are several opportunities for improvement for future prediction model development, including the use of standardized outcomes and time horizons, and improved study design and statistical methodology.