Why You Can Trust Us: 25 Medical Alert Systems Researched
At U.S. News & World Report, we rank the Best Hospitals, Best Colleges, and Best Cars to guide readers through some of life’s most complicated decisions. Our 360 Reviews team draws on this same unbiased approach to rate the products that you use every day. To build our ratings, we researched more than 25 medical alert systems and analyzed 15 reviews. Our 360 Reviews team does not take samples, gifts, or loans of products or services we review. All sample products provided for review are donated after review.
The following describes our 360 approach to researching and analyzing medical alert systems to guide prospective consumers.
1. We researched the companies and products people care most about.
U.S. News analyzed and compared a variety of publicly available data, including internet search data, to determine which medical alert system companies Americans are most interested in. We found 26 companies that stand out in terms of volume of searches and research among consumers, as well as across the different rating sources.
We then compared the available medical alert systems provided by our top medical alert system companies across several criteria, including subscription fees, add-on services, and product features such as GPS tracking, water resistance, and connectivity options. Research shows that these are among the most important criteria for people shopping for a medical alert system. We then highlighted the most comprehensive and basic plans offered by each company based on these criteria.
Some medical alert companies feature a fall detection feature with their products. From the best list, we then created a subrating based on which companies offer fall detection.
2. We created objective 360 Overall Ratings based on an analysis of third-party reviews.
U.S. News’ 360 Reviews team applied an unbiased methodology that includes opinions from professional reviews as well as consumer reviews.
Our scoring methodology is based on a composite analysis of the ratings and reviews published by credible third-party professional and consumer review sources. The ratings are not based on personal opinions or experiences of U.S. News. To calculate the ratings:
(a) We compiled two types of third-party ratings and reviews:
- Professional Ratings and Reviews. Many independent medical alert system evaluating sources have published their assessments of medical alert system companies and their products online. We consider several of these third-party reviews to be reputable and well-researched. However, professional reviewers often make recommendations that contradict one another. Rather than relying on a single source, U.S. News believes consumers benefit most when these opinions and recommendations are considered and analyzed collectively with an objective, consensus-based methodology.
- Consumer Ratings and Reviews. U.S. News also reviewed published consumer ratings and reviews of medical alert system providers. Sources with a sufficient number of quality consumer ratings and reviews were included in our scoring model.
Please note that not all professional and consumer rating sources met our criteria for objectivity. Therefore, some sources were excluded from our model.
(b) We standardized the inputs to create a common scale.
The third-party review source data were collected in a variety of forms, including ratings, recommendations, and accolades. Before including each third-party data point into our scoring equation, we had to standardize it so that it could be compared accurately with data points from other review sources. We used the scoring methodology described below to convert these systems to a comparable scale.
The 360 scoring process first converted each third-party rating into a common 0 to 5 scale. To balance the distribution of scores within each source’s scale, we used a standard deviation (or Z-Score) calculation to determine how each company’s score compared to the source’s mean score. We then used the Z-Score to create a standardized U.S. News score using the method outlined below:
- Calculating the Z-Score: The Z-Score represents a data point's relation to the mean measurement of the data set. The Z-Score is negative when the data point is below the mean and positive when it's above the mean; a Z-Score of 0 means it's equal to the mean. To determine the Z-Score for each third-party rating of a company, we calculated the mean of the ratings across all companies evaluated by that third-party source. We then subtracted the mean from the company’s rating and divided it by the standard deviation to produce the Z-Score.
- Calculating the T-Score: We used a T-Score calculation to convert the Z-Score to a 0-100 scale by multiplying the Z-Score by 10. To ensure that the mean was equal across all data points, we added our desired scoring mean (between 0 and 10) to the T-Score to create an adjusted T-Score.
- Calculating the common-scale rating: We divided the adjusted T-Score, which is on a 100-point scale, by 20 to convert the third-party rating to a common 0-5 point system.
(c) We calculated the 360 Overall Score based on a weighted-average model.
We assigned “source weights” to each source used in the consensus scoring model based on our assessment of how much the source is trusted and recognized by consumers and how much its published review process indicates that it is both comprehensive and editorially independent. The source weights are assigned on a 1-5 scale. Any source with an assigned weight less than two was excluded from the consensus scoring model.
Finally, we combined the converted third-party data points using a weighted average formula based on source weight. This formula calculated the consensus score for each product, which we call the 360 Overall Rating.
Some medical alert companies feature a fall detection feature with their products. From the best list, we then created a subrating based on which companies offer fall detection.
