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Application of an action protocol focused on the application of non-pharmacological interventions for managing delirium in the process of prevention, diagnosis and treatment, evaluated using an e-health intervention, with a tablet to introduce on it the data about the prevention, diagnostic and treatment process of each recluted patient, in the Igualada Hospital Center, once a day.
Full description
Generalities Delirium, also known as acute confusional syndrome (ACS), is one of the most common complications in hospitalized patients because its underdiagnosed, increased dependence on basic activities of daily living (ADLs), morbidity and mortality, with nearly 23 deaths per 100 patients diagnosed with delirium. It affects up to 40% of patients over 65 years of age.
Its occurrence is more frequent in specific hospital settings, such as intensive care units (ICU), emergency departments, or units treating respiratory conditions.
Several risk factors contribute to the development of delirium, including age (patients over 65 are at higher risk), gender (it is more common in men), polypharmacy, and invasive procedures like bladder catheterization. Patients with urinary tract infections (UTIs) or strictures also face an increased risk.
In addition, comorbidities like diabetes, stroke, heart failure, or COPD increases the risk of tdeveloping delirium.
The duration of delirium symptoms can be hours to days, in the 80% of cases, and 20% lasting weeks or even months (4).
To minimize its impact, it's crucial to focus on proper prevention, early detection, and effective management. A non-pharmacological approach to treatment is key, as reducing medication use can help prevent adverse effects that may worsen the patient's condition.
Provide adequate training and education for healthcare professionals is essential. To reduce the incidence of delirium in hospitalized patients, a protocol has been developed for its prevention, detection, and treatment through non-pharmacological interventions.
Aims General aim To reduce the incidence of delirium through the management of non-pharmacological therapy in the geriatric unit of professionals at the University Hospital of Igualada in the prevention, diagnosis and treatment of hospitalized elderly patients, using a nursing-led e-health intervention.
2.1. Specific aims To determine whether there are differences in the incidence of delirium with the application of an e-health tablet program, comparing ta control group to and intervention group.
Scope of application The application of the protocol is aimed at the University Hospital of Igualada, at the internal medicine units, with the possibility of extrapolating to other units or health centers.
The protocol is aimed at nurses in the geriatric unit and may receive help from other professionals such as rehabilitation, cleaning, or medical staff in collaborating in the development of the activities.
Population and sample The population will include the total number of patients admitted to geriatric unit.
The patient sample will consist of those who have at least three risk factor for developing delirium, such as age (over 80 years old), gender (male), or benzodiazepines treatment.
The total sample size will be 65 patients, 32 in the control group and 33 in the intervention group, calculated using the QuestionPro website, based on a population of 77 diagnosed delirium cases in the study units over a 6-month period in 2024 (information provided by the HUI research team). This tool has a margin of error of 5% and a confidence level of 95%.
The intervention will be carried out by the IP, who is the owner of the development of the e-health application.
4.1. Inclusion/exclusion criteria Inclusion criteria: Age over 80 years, 3 or more risk factors, admission on geriatric unit in Igualada Hospital Center and social support during the hospital admission.
Exclusion criteria: Age under 80 years, not presence of risk factors or less than 3, delirium diagnosis in their admission or earlier and foreseeable death on admission not caused by delirium.
Data collection and analysis Data collection will be carried out through the completion of the activities about prevention, diagnosis and treatment of delirium through the use of the e-health. The IP and their informatic support will create and app to introduce in a tablet for this purpose.
The data collection will be carried out by the IP once a day, in the morning, during 3 days for each patient of the intervention group.
The data entered into these forms will be automatically transferred into an Excel document with their download in the app. This document will be downloaded by the center's IT team at 3 months after the protocol is implemented, for further analysis.
The Excel document will display the results from each intervention and scale's results, categorized into the following items for further evaluation of the indicators:
Below are the indicators that will be used for the analysis of the data:
INDICATOR 1 Indicator: Rate of patients at risk of developing delirium Zone: Geriatric unit Quality criteria Any patient, on the control or intervention group, presenting symptomatology equivalent to delirium must be assigned this diagnosis.
Definitions: The CAM scale is the reference scale for making the diagnosis of delirium in patients, assessing affirmative answers in 3 or 4 of its items.
Justifications: The diagnosis is made using the CAM scale, assessed once there is a suspicion of the diagnosis, which serves as an element in the diagnosis of the disease. It is recorded using the center's computer program.
Target population: Hospitalized patients over 80 years of age with 3 or more risk factors for the development of delirium.
Formula: Numerator: No. of patients with delirium* 100 / Denominator: Total number of assessed risk patients Type of indicator: Result Data source: Registered in e-health tablet program. Responsible: IP
Periodicity:
INDICATOR 2 Indicator: Rate of patients diagnosed with delirium who improve their clinical severity Zone: Geriatric unit Quality criteria: All patients, in the control or intervention group, diagnosed with delirium, must be treated and their symptomatology reduced, assessing the severity of the symptoms.
Definitions: The DRS-R-98 scale assesses the severity of clinical delirium with the evaluation of 7 items, rated from 0 to 4. A higher score indicates more severity, up to 48 points.
Justification: Through DRS-R-98, the severity of the clinical condition is assessed and whether it improves with the application of non-pharmacological therapy. Recorded in the center's computer program, every 24 hours.
Any score equal to or less than 16 will be considered a favorable score, and therefore, a seriousness of the clinic. On the contrary, scores equal to or higher than 17 points, up to a maximum of 48, will indicate a serious severity.
Target population: Hospitalized patients over 80 years old diagnosed with delirium.
Formula: Numerator: No. of patients with a score of less than 16 on the DRS-R-98 scale * 100 / Denominator: No. of patients diagnosed with delirium Type of indicator: Process Data source: Registered on SAVAC program. Responsible: IP
Periodicity:
INDICATOR 3 Indicator: Rate of drug use in the treatment of delirium Zone: Geriatric unit Quality: All patients, in the control or intervention group, diagnosed with delirium and treated must be able to reduce their hospital stay.
Definitions: Patients diagnosed with delirium tend to have longer hospital stays due to this diagnosis if they are not treated.
Justification: It is assessed on the basis of the number of days spent in hospital, recorded in the patient's clinical history.
Target population: Hospitalized patients over 80 years old diagnosed with delirium.
Formula: Numerator: No. of days with a diagnosis of delirium* 10 / Denominator: Total number of hospitalized days Type of indicator: Result Data source. Clinical history Responsible: IP Periodicity: Quarterly
5.1. Prevention
Prevention will be applied to all patients who are admitted to the units where the protocol is applied and present at least 3 risk factor for the development of delirium. As risk factors, they will be considered (2):
An other precipitant factors:
The activities classified with the level of evidence (number) and the degreee of evidence (letter) are:
Cognitive Stimulation
Early Mobilization
Optimal Hydration and Nutrition
Maintenance of the Sleep-Wake Cycle
Promotion of Spatial and Temporal Orientation
5.2. Diagnosis The diagnostic starts when a patient have kind of symptomatology that may trigger delirium.
The nurses cannot assign any type of diagnosis to a patient, but they do have at our disposal tools that facilitate this detection and, together with the medical staff, can determine whether the patient has a diagnosis of delirium.
To make the diagnosis, the Confusional Assessment Method (CAM) and Delirium Rating Scale-Revision-98 (DRS-R-98) will be used to assess the symptomatology and severity of the symptoms.
The following is a summary of what characterizes each scale:
These will be completed in the e-heakth program for the IP , where these scales will be included in the patient's registration form.
Once completed, and depending on the results obtained, it will be decided whether the patient is a candidate for a diagnosis of delirium, the respective doctor will be notified, and therefore, specific activities for the treatment of symptomatology will be implemented in the patient's care.
5.3. Treatment's intervention Action on the symptoms will be carried out once the patient has been diagnosed with delirium. The activities to be carried out are similar to those developed in the prevention phase, but more focused on improving the patient's cognitive status.
They will be conducted, once again, bby IP, without leaving aside other professionals such as rehabilitation, physiotherapy or doctors who may collaborate in their development.
The activities classified with the level of evidence (number) and the degreee of evidence (letter) are:
Cognitive Stimulation
• (1, A) Enable relatives to visit the patient to keep their social circle close, at specific times.
In the case of Covid-19, daily video calls at a set time. Talk to the nursing team and the family to arrange visiting hours or video calls, preferably before bedtime, as this is when the patient is most alert, especially after dinner, to ensure the patient gets a good night's rest.
• (1, A) Ask the patient to tell us their full name, the day of the week, and where they are.
This should be done during hygiene routines or when food is served, both by nurses and nursing assistants.
Physical Exercises
• (1, A) Whenever possible, allow the patient to walk around the room before each treatment to prevent hunger or tiredness.
Encourage physiotherapy.
• (1, A) Enhance exercise routines. Physical exercises in bed or at the bedside, if standing is not tolerated, such as pulling up the bed, moving the arms, etc.
Encourage physiotherapy.
Orientation Management
Take advantage of moments when injuries are being treated or medication is being administered, especially by nurses.
(1, A) Always introduce yourself when entering the room and identify yourself as the relevant healthcare staff (nurse, nursing assistant, etc.).
(1, A) Let the patient know the time and day whenever possible when entering the room.
d. Music Therapy
(1, A) Play music that the patient enjoys. Ask about their musical preferences and talk to the family so they can listen to a radio station
5.4. Assessment of symptoms The assessment of symptoms will be carried out by the nursing staff every 48 hours after the diagnosis of delirium until the patient is discharged from the unit.
This will be the last phase of the application of the protocol, assessing the fluctuation of symptomatology and the effectiveness of the activities conducted.
This phase will be completed with the new completion of the DRS-R-98 scale in the program, as soon as the tasks in the infirmary are completed.
The results of the data, as well as the indicators and subsequent evaluation of the impact of the protocol, will be carried out by the hospital supervisor.
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65 participants in 2 patient groups
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Aida Bonet Auge, Registred Nurse (RN), PhD; Laia Fernández Parra, Registred Nurse (RN) and MSc
Data sourced from clinicaltrials.gov
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