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Technology to Help You Care for an Aging Spouse or Parent

Updated March 2020

It’s scary, but true: Falls are the leading cause of injuries and deaths from injury for older Americans — even the very active1. That’s why a medical alert system with automatic fall detection technology is a must-have.

To select the right option, determine the features that best suit your and your loved one’s lifestyle. Share this information to help get their buy-in.

Active Older Adults

This group includes people 55 and older who live independently, are in good health, and engage in regular social, physical and other activities.

Low-Profile Wearable: Philips Lifeline medical alert devices with AutoAlert fall detection are discreet pendants that fit neatly under everything from activewear to business attire. They’re waterproof, so they can be worn in the tub or shower. GoSafe 2 offers support for those frequently on the go2.

Low Rate of False Alarms: Nobody likes unnecessary interruptions and distractions. Some other companies’ fall detectors produce 8 to 20 false alarms a month. Our AutoAlert fall detection technology uses velocity and barometric sensors and a sophisticated algorithm to more accurately detect true falls and reduce false alarms to only one every two months3.

Older Adults Living Alone

82% of people who fall are alone, and 54% are found lying on the floor, which can impact recovery time and (in some cases) survival rates4.

Assistance Whether or Not Button is Pressed: It’s scary to fall and not be able to get up — and even scarier for someone who’s alone and can’t activate the medical alert device. AutoAlert fall detection technology call for help if it detects a fall, whether the button’s pushed or not5, capturing 30% more falls requiring EMS assistance than a standard device6.

24/7/365 Availability: When you have Lifeline with AutoAlert you’re never truly alone. Our multiple Response Centers are fully equipped to stay online even during power outages or bad weather.

Cardiac Patients

People with cardiovascular conditions fall and need hospital transport 29% more often than people with healthy hearts7.

Rapid Response: Once the AutoAlert service detects a fall or the help button is pushed, Philips Lifeline Response Center staff answers in as little as 21 seconds8.

Time for Care: Studies show that doctors have about 90 minutes to restore blood flow after a heart attack – otherwise a patient faces worsening heart damage and a swift slide toward death9.

Older Adults with Multiple Health Conditions

People living with 5 or more chronic conditions (including diabetes, COPD or osteoporosis) report 40% more falls requiring medical attention than those without10.

Qualified Response Center: When we need help, we want to reach qualified response personnel who can provide the correct assistance quickly. Philips Lifeline response associates are trained in stress management and emergency response.

Fall Data and Analytics:  Philips Cares predictive analytics technology accesses AutoAlert and other patient data to help healthcare providers understand when a patient is at risk of hospital transport in an upcoming 30-day period. This offers the healthcare provider an opportunity to intervene early and help prevent more serious spills and incidents.

People with Cognitive Impairment or Parkinson’s Disease

Older adults with Parkinson’s are twice as likely to fall and require a hospital visit; those with cognitive impairment are 1.5 times more likely11.

Fall Detection: Those of us with cognitive challenges may not be able to call for help or forget to push the button. AutoAlert can automatically call for help for them if it detects a fall, so that help can be on the way.

Constant Contact: Lifeline with AutoAlert fall detection technology connects directly to trained care associates who are available even when the power’s off or there’s bad weather, so someone’s always there for you. Philips Response Center staff can respond to calls in as little as 21 seconds when a button is pressed or if a fall is detected12.

This information should help you and your loved one to feel more confident about choosing a medical alert system with automatic fall detection technology.

Don’t disregard professional medical advice, or delay seeking it, because of what you read here. This information is not intended as a substitute for professional consultation, diagnosis or treatment; it is provided “as is” without any representations or warranties, express or implied. Always consult a healthcare provider if you have specific questions about any medical matter, and seek professional attention immediately if you think you or someone in your care may be suffering from a healthcare condition.

1 http://www.cdc.gov/media/releases/2016/p0922-older-adult-falls.html

2 GoSafe 2 coverage inside and outside the home is provided where AT&T wireless network coverage is available. Recharging of the GoSafe 2 button is done by the user as needed, when connected to the charger.

3 AutoAlert does not detect 100% of falls. If able, the user should always push their button when they need help.

4 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2590903/, Page 2

5 AutoAlert does not detect 100% of falls. If able, the user should always push their button when they need help.

6 Personal Emergency Response System with Optimized Automatic Fall Detection Shows Greater Effectiveness than PERS alone, Philips Research

7 New Philips study reveals seniors with common chronic conditions had an increased fall rate up to 54 percent

8 According to results from an analysis of Philips Home Monitoring internal data collected from Aug. 2015 through Aug. 2016. All data is reported with a +/- 95% confidence interval.

9 University Hospitals, EMS work to improve heart attack response time: Critical Moments

10 Personal Emergency Response System with Optimized Automatic Fall Detection Shows Greater Effectiveness than PERS alone, Philips Research

11 Personal Emergency Response System with Optimized Automatic Fall Detection Shows Greater Effectiveness than PERS alone, Philips Research

12 According to results from an analysis of Philips Home Monitoring internal data collected from Aug. 2015 through Aug. 2016. All data is reported with a +/- 95% confidence interval.

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