Identification of Risk Patients in Emergency Medical Services

Background: Inadequate nutrition has been associated with growing risk of falling and impaired ability in elderly patients. Falling is a significant threat to the health of the elderly. It is estimated that one third of people over the age of 65 experience at least one falling each year. Over 60% of the falls cause serious injury or disability. Adequate nutrition increases the muscle strength of the elderly. Therefore, determining and managing the nutrition level is important for preventing falling. As far as we know emergency medical services has never before reported being a part of prevention by performing risk identification.

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Key information

Conditions

Malnutrition Cognition Disorders Cognitive Dysfunction Cognitive Impairment Falling Mental Disorders Neurocognitive Disorders Nutrition Disorders Nutritional and Metabolic Diseases

Age range

70 year–104 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Department of Emergency Medicine and Services, Helsinki University Hospital and Helsinki University, Helsinki, Finland

Helsinki, Helsinki Usimaa, Finland

About this study

Aim: The purpose of the study is to assess whether it is possible to use a simple screening tool to find out the risk of falling, the nutritional status and the level of cognitive functioning activity when the EMS faces the elderly over the age of 70 years. In addition, the flow of information between primary care and emergency services and nutritionists is examined.

Material and method: Identification of poor nutrition is carried out in the Helsinki University hospital area. All people over the age of 70 requiring ambulance transport will be included in the study for 4 months during 2018. A structured electronic form is used to identify the malnutrition, the level of cognitive functioning activity and the risk of falling. The assessment is performed during the transport. The data is analyzed by the SPSS statistical program both by descriptive and statistical significance by looking at the methods suitable for the data.

Conclusion: The information produced by the research aims to develop (a) Identifying in the ambulance those patients who are at risk; and (b) activating nursing staff and nutritionists and, by means of these measures, increase the number of patients receiving effective nutrition therapy.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

All people over the age of 70 requiring ambulance transport will be included in the study for 4 months during 2018.

Exclusion criteria

Treatment and study plan

observation

Other

to use a simple screening tool to find out the risk of falling, the nutritional status and the level of cognitive functioning activity

Primary outcomes

Identifying in the ambulance those patients who are at risk (over 3 points in a single section)

Time frame: Through study completion an average of 12 months

to use a simple screening tool to find out the risk of falling, the nutritional status and the level of cognitive functioning activity when the EMS faces the elderly over the age of 70 The risk-screening tool is based on valid scales. RISK SCREENING TOOL;

Risk of falling:

Prediction of falls (4 items, 0-3 points) Self-reporting of falls over a 12-month period (3 items, 0-3 points)

Malnutrition Risk:

Home care and meal services (Yes, No) Nutritional status (4 items, 0-3 points) Effect of the diseases on nutrition (4 items, 0-3 points) Age (1 item, 1 point)

Delirium and cognitive functioning:

Alertness / memory / attention deficit / symptoms (4 items, 0-3 points)

Complete when:

> 70 years patient The patient's physical state allows. Mostly completed during transport (no need to add actual time on scene). Possible risk points are reported at donation to the emergency department.

Other outcomes

Identifying in the ambulance those patients who are at risk (total scores over sections)

Time frame: Through study completion an average of 12 months

Subscales are combined to compute a total score, if more than three points in total, the patient is considered to be a risk patient.

Sponsors and collaborators

Lead sponsor

Helsinki University Central Hospital

Other

Collaborators

University of Helsinki

Registry information

Important dates

Study start: 2018
Primary completion: 2022
Study completion: 2022
First posted: Nov 29, 2018
Registry last updated: Jan 31, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed