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Level of Delirium and its Contributing Factor among Patients in ICU

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Background: Delirium is an acute state of confusion characterized by a rapid onset, usually within hours to days, with changes in consciousness and cognitive changes. Delirium may also present as a form of agitation in intensive care patients. Delirium can affect up to 80% of patients in intensive care units and increase their length of stay and cost of hospitalization. Objectives: The main aim of the study is to evaluate the level of Delirium and its contributing factors among patients in intensive care unit. Methods: A descriptive study design was adopted for the study with 60 samples that met the inclusion criteria and were selected using convenience sampling technique. Data for demographic variables were collected using multiple-choice questionnaires, followed by assessment of delirium using the Confusion Assessment Method (CAM) scale. Results: 20%) had mild delirium, 13 samples (21.7%) of moderate delirium and 13 samples (21.7%) of severe delirium. Regarding the demographic variables of delirium, diabetes rapidly had a statistically significant association with the degree of delirium in ICU patients at p < 0.05. Conclusion: Confusion assessment method (CAM) is an effective to find out the level of delirium among intensive care unit patients.
Title: Level of Delirium and its Contributing Factor among Patients in ICU
Description:
Background: Delirium is an acute state of confusion characterized by a rapid onset, usually within hours to days, with changes in consciousness and cognitive changes.
Delirium may also present as a form of agitation in intensive care patients.
Delirium can affect up to 80% of patients in intensive care units and increase their length of stay and cost of hospitalization.
Objectives: The main aim of the study is to evaluate the level of Delirium and its contributing factors among patients in intensive care unit.
Methods: A descriptive study design was adopted for the study with 60 samples that met the inclusion criteria and were selected using convenience sampling technique.
Data for demographic variables were collected using multiple-choice questionnaires, followed by assessment of delirium using the Confusion Assessment Method (CAM) scale.
Results: 20%) had mild delirium, 13 samples (21.
7%) of moderate delirium and 13 samples (21.
7%) of severe delirium.
Regarding the demographic variables of delirium, diabetes rapidly had a statistically significant association with the degree of delirium in ICU patients at p < 0.
05.
Conclusion: Confusion assessment method (CAM) is an effective to find out the level of delirium among intensive care unit patients.

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