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    • 3 hours, 12 minutes ago
      Kathy Hanavan likes your comment at
      How well do you understand the details of your health insurance coverage?
      "Slightly," I think, maybe. Insurance companies change their policies, constantly. Prescription coverage changes every time I look at it. Medicare is a huge question mark. Honestly, Health insurance has become a big money making business, for them. I get different answers every time I call, depending upon whom I am talking with. I say it's time for socialized medicine.
    • 3 hours, 13 minutes ago
      atr likes your comment at
      How well do you understand the details of your health insurance coverage?
      At the risk of being overly simplistic, it boils down to: "Heads, you lose. Tails, You lose." ╰── ──╮
    • 3 hours, 25 minutes ago
      TEH likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Roughly half my lows are caused by my auto correct system now. I expect AI hallucinations to make it worse. I have enough hallucinations when I'm low and need non-hallucinatory help. We all need more info on this subject to make better decisions. As my favorite 80's AI robot (Johnny 5) said, "Need input."
    • 3 hours, 25 minutes ago
      TEH likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I'm not comfortable for many reasons: 1) AI hasn't proven respects boundaries, quite the opposite, too many reports of AI tend to view its responsibilities and decisions as NOT mine; 2) the companies behind AI systems do likewise in not respecting my data as mine and jumble it in with their own; 3) AI systems haven't proven themselves as reliable parties regarding data and actions. There are many more; AI systems have a long way to go before I entrust one with dosing strategies while I'm awake, let alone while I'm asleep!
    • 3 hours, 25 minutes ago
      TEH likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I’ve done a large 2 week focus group through Syracuse University on AI. I’ve also been watching shows on European news about AI and medical issues. AI still has too many glitches when it comes to medical issues.
    • 3 hours, 41 minutes ago
      TEH likes your comment at
      How well do you understand the details of your health insurance coverage?
      At the risk of being overly simplistic, it boils down to: "Heads, you lose. Tails, You lose." ╰── ──╮
    • 3 hours, 47 minutes ago
      Lawrence S. likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Having recently dealt with ongoing tech issues involving our heat and electrical-use notifications for more than six months — and it’s still not fully resolved — I’m not always a fan of too much technology. That said, I am interested in advances like the Twist Insulin Pump potentially detecting scar tissue or helping with infusion-site issues. But then reality kicks in: taking devices off for MRIs, replacing failed equipment, and navigating Medicare when it’s primary insurance can become a nightmare of paperwork and delays. And honestly, AI in some call centers has been pretty frustrating. Sometimes it feels like no one can answer a real-world question anymore. I think we should tread lightly and make sure technology actually makes life easier for people living with T1D — especially older adults who already manage enough complexity every day. Some days I think about a less stress free life and going back to a syringe and insulin. over 45 years of doing that, and now 25+ of devices, I'm tired of the challenges in getting replacements, and scar tissue, and mail order supplies and on and on.
    • 3 hours, 59 minutes ago
      Lawrence S. likes your comment at
      How well do you understand the details of your health insurance coverage?
      At the risk of being overly simplistic, it boils down to: "Heads, you lose. Tails, You lose." ╰── ──╮
    • 23 hours, 30 minutes ago
      kristina blake likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all technical advancements there are good things and bad things. The bad things (unforseen consequences) could be deadly like Hallucinations for the user, getting over doses of insulin. So, carefully thought out guard rails need to be developed and thoroughly tested. A good thing must be the accumulation of scenarios that KSannie mentioned. However it can not be completely autonomous. The current accuracy of Dex G7 and other sensors introduce error in to the calculations. This is similar to "self driving cars." The Robo taxi experiments have shown the unusual events that could become dangerous. Either audible situation commands or textual inputs like "goin to bed" or "driving" or "exercising" may be required at the beginning for a new user. As an example, after wearing my smart watch for a year now, it recognizes exercising without me having to tell it I'm exercising. This drives a more advanced and improved user interface. The other perceivable advantage might be accumulating changes over time, such as sicknesses, weight gain or loss, or changes in activity. Changes in food intake might be difficult to overcome. Something like "Under my Fork" app. Personally, I would like to see a reminder to bolis before eating! With all that said, we do we need all that? Probably not. Evolution of modified closed loop control may eliminate the need for AI control. The reality may be somewhere in-between the two.
    • 23 hours, 31 minutes ago
      kristina blake likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I believe that AI may very well become a great tool - but at this time it still makes too many errors for me to be confident in it.
    • 23 hours, 32 minutes ago
      kristina blake likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I’m uncomfortable not knowing when and when it isn’t being used, but I’m not sure why really. A “singer” named Benny Rivers popped up in one of my feeds. I really liked the music, until I found out it was a total AI fabrication. Then I was uncomfortable. Why? I felt “taken”, like someone pulled a fast one on me, pulled the wool over my eyes. I liked the music less then. I didn’t like that I couldn’t find a tour date, things like that. But I was most uncomfortable not truly understanding why it made me uncomfortable. The music was still enjoyable.
    • 1 day, 1 hour ago
      Natalie Daley likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Having recently dealt with ongoing tech issues involving our heat and electrical-use notifications for more than six months — and it’s still not fully resolved — I’m not always a fan of too much technology. That said, I am interested in advances like the Twist Insulin Pump potentially detecting scar tissue or helping with infusion-site issues. But then reality kicks in: taking devices off for MRIs, replacing failed equipment, and navigating Medicare when it’s primary insurance can become a nightmare of paperwork and delays. And honestly, AI in some call centers has been pretty frustrating. Sometimes it feels like no one can answer a real-world question anymore. I think we should tread lightly and make sure technology actually makes life easier for people living with T1D — especially older adults who already manage enough complexity every day. Some days I think about a less stress free life and going back to a syringe and insulin. over 45 years of doing that, and now 25+ of devices, I'm tired of the challenges in getting replacements, and scar tissue, and mail order supplies and on and on.
    • 1 day, 1 hour ago
      Natalie Daley likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all technical advancements there are good things and bad things. The bad things (unforseen consequences) could be deadly like Hallucinations for the user, getting over doses of insulin. So, carefully thought out guard rails need to be developed and thoroughly tested. A good thing must be the accumulation of scenarios that KSannie mentioned. However it can not be completely autonomous. The current accuracy of Dex G7 and other sensors introduce error in to the calculations. This is similar to "self driving cars." The Robo taxi experiments have shown the unusual events that could become dangerous. Either audible situation commands or textual inputs like "goin to bed" or "driving" or "exercising" may be required at the beginning for a new user. As an example, after wearing my smart watch for a year now, it recognizes exercising without me having to tell it I'm exercising. This drives a more advanced and improved user interface. The other perceivable advantage might be accumulating changes over time, such as sicknesses, weight gain or loss, or changes in activity. Changes in food intake might be difficult to overcome. Something like "Under my Fork" app. Personally, I would like to see a reminder to bolis before eating! With all that said, we do we need all that? Probably not. Evolution of modified closed loop control may eliminate the need for AI control. The reality may be somewhere in-between the two.
    • 1 day, 1 hour ago
      Natalie Daley likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Sorry. I'm not sold on AI. I don't trust the people making it. There are too many reasons it could go wrong and be disasterous (just read the above comments). I'm not opposed to computers helping with things such as Control IQ, but when the computer starts doing the thinking, I think we've crossed the line. An aside: I've listened to AI music, and I think it sounds impersonal. It lacks a humanness. I don't find it pleasant to listen to. I've heard horror stories about AI being used by the military, with the end result being nuclear holocaust. I am a hard NO to AI. I gave it a "5".
    • 1 day, 1 hour ago
      Natalie Daley likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I am comfortable using AI as a helpful tool, while fully cognizant of hallucinatory tendencies. If I may paraphrase a famous writer about a week ago analyzing universities (as well as AI): “the over-intellectualized nature of academic culture—the idea that all inquiry should be depersonalized, dispassionate, data-driven, objective. Being a good person is more about having the right emotions, perceptions, and intentions toward others in the concrete circumstances of life than it is about logic-chopping games and dry dissertations.” 𐚁
    • 1 day, 2 hours ago
      Kathy Hanavan likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all the deliberately misleading information out there, AI cannot discriminate. And, each patient is completely different in their rate of things like food digestion or insulin absorption. AI really is not up to this. And it cannot differentiate between highs due to stress of traveling, which go down as soon as I arrive, and highs due to illness, which can stay high for days, and gradually taper to normal at some variable rate. Once I was high due to illness, got better and then worse. I am afraid of getting too much insulin. It lasts 5 hours in the blood, including the basal amount. And the AI not being able to correct fast enough.
    • 1 day, 2 hours ago
      Kathy Hanavan likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I believe that AI may very well become a great tool - but at this time it still makes too many errors for me to be confident in it.
    • 1 day, 2 hours ago
      Kathy Hanavan likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I am comfortable using AI as a helpful tool, while fully cognizant of hallucinatory tendencies. If I may paraphrase a famous writer about a week ago analyzing universities (as well as AI): “the over-intellectualized nature of academic culture—the idea that all inquiry should be depersonalized, dispassionate, data-driven, objective. Being a good person is more about having the right emotions, perceptions, and intentions toward others in the concrete circumstances of life than it is about logic-chopping games and dry dissertations.” 𐚁
    • 1 day, 2 hours ago
      John Barbuto likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Sorry. I'm not sold on AI. I don't trust the people making it. There are too many reasons it could go wrong and be disasterous (just read the above comments). I'm not opposed to computers helping with things such as Control IQ, but when the computer starts doing the thinking, I think we've crossed the line. An aside: I've listened to AI music, and I think it sounds impersonal. It lacks a humanness. I don't find it pleasant to listen to. I've heard horror stories about AI being used by the military, with the end result being nuclear holocaust. I am a hard NO to AI. I gave it a "5".
    • 1 day, 2 hours ago
      John Barbuto likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all the deliberately misleading information out there, AI cannot discriminate. And, each patient is completely different in their rate of things like food digestion or insulin absorption. AI really is not up to this. And it cannot differentiate between highs due to stress of traveling, which go down as soon as I arrive, and highs due to illness, which can stay high for days, and gradually taper to normal at some variable rate. Once I was high due to illness, got better and then worse. I am afraid of getting too much insulin. It lasts 5 hours in the blood, including the basal amount. And the AI not being able to correct fast enough.
    • 1 day, 2 hours ago
      John Barbuto likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I believe that AI may very well become a great tool - but at this time it still makes too many errors for me to be confident in it.
    • 1 day, 3 hours ago
      Lawrence S. likes your comment at
      Do you have a management plan if you test positive for ketones? Please share more in the comments.
      Sure, if you can call it a plan to flush with liquids and take electrolytes and insulin as needed.
    • 1 day, 3 hours ago
      Lawrence S. likes your comment at
      Do you have a management plan if you test positive for ketones? Please share more in the comments.
      Inject. Inject. Inject. All other considerations are secondary, tertiary, or way down the list. Why would anyone ever rearrange the deck chairs on the Titanic? Might as well strike up the band to play Nearer My God to Thee!. ☹
    • 1 day, 3 hours ago
      TEH likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all the deliberately misleading information out there, AI cannot discriminate. And, each patient is completely different in their rate of things like food digestion or insulin absorption. AI really is not up to this. And it cannot differentiate between highs due to stress of traveling, which go down as soon as I arrive, and highs due to illness, which can stay high for days, and gradually taper to normal at some variable rate. Once I was high due to illness, got better and then worse. I am afraid of getting too much insulin. It lasts 5 hours in the blood, including the basal amount. And the AI not being able to correct fast enough.
    • 1 day, 3 hours ago
      Lawrence S. likes your comment at
      Do you have a management plan if you test positive for ketones? Please share more in the comments.
      It would depend on the symptoms and vary.
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    CGM sensors are only approved for specific areas of the body, but many people use other locations. If you wear a CGM, do you have an area of your body where you feel you get the most accurate sensor readings? Select all that apply!

    Home > LC Polls > CGM sensors are only approved for specific areas of the body, but many people use other locations. If you wear a CGM, do you have an area of your body where you feel you get the most accurate sensor readings? Select all that apply!
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    As diabetes clinics in the U.S. are seeing more patients in person, do you prefer for your diabetes appointments to be in-person or virtual?

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    Sarah Howard

    Sarah Howard has worked in the diabetes research field ever since she was diagnosed with T1D while in college in May 2013. Since then, she has worked for various diabetes organizations, focusing on research, advocacy, and community-building efforts for people with T1D and their loved ones. Sarah is currently the Senior Marketing Manager at T1D Exchange.

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    " At T1D Exchange, we’re proud to announce our Medical and Research Advisory Team — an accomplished group of leaders in endocrinology, research, and quality improvement. Together, they are redefining what’s possible in type 1 diabetes (T1D) care through rigorous data analysis, innovative research approaches, and real-world implementation. Their collective expertise is central to our mission of improving outcomes for all people living with T1D.  “We’re excited to be working with our advisors given their deep expertise across a broad range of areas in T1D,” said Dave Walton, CEO of T1D Exchange. “Their involvement magnifies our reach, knowledge, and impact. These advisors are shaping the future of diabetes care — driving innovation across research, clinical practice, and quality improvement.”    Meet the Medical & Research Advisory Team  The T1D Exchange Medical and Research Advisory Team brings together four leading endocrinologists, each offering a unique perspective and shared commitment to advancing T1D care:    Jenise Wong, MD, PhD Pediatric endocrinologist at UCSF Benioff Children’s Hospital and Professor of Pediatrics in the Division of Endocrinology at the University of California, San Francisco Focus areas: Diabetes technology adoption and usability; health equity and access to care and technology; community-based and peer-support interventions; culturally responsive care          Jennifer Sherr, MD, PhD Pediatric endocrinologist at Yale Medicine and Professor of Pediatrics in the Division of Endocrinology at Yale School of Medicine in New Haven, Connecticut Focus areas: Clinical trials in diabetes technology (CGM and AID systems), disease-modifying treatments and immunotherapies, and emerging technologies and medications, including continuous ketone monitoring and nasal glucagon     Viral Shah, MD Adult endocrinologist at Indiana University Health and Professor of Medicine in the Division of Endocrinology and Metabolism at Indiana University School of Medicine in Indianapolis, Indiana Focus areas: Diabetes technology and adjunctive therapy trials; translational and data-driven research; T1D complications and bone health         Nestoras Mathioudakis, MD, MHS Adult endocrinologist at Johns Hopkins Medicine and Associate Professor of Medicine at Johns Hopkins University School of Medicine in Baltimore, Maryland Focus areas: AI-driven clinical support tools; EMR-based data analytics for clinical decision making; data-driven quality improvement; health equity in T1D care        This accomplished team’s expertise spans adult and pediatric endocrinology, research, and quality improvement affiliated with leading institutions nationwide. 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By leveraging data to scale best practices, the goal is to drive meaningful, measurable change across clinics and communities.  “Our advisors will help to extend our impact — whether through QI strategy, research innovation, funding opportunities, or new data-driven solutions,” said Walton. “We want to take what’s working at individual centers and spread that as broadly as possible.”   He added, “As a Collaborative, we’re also focused on advanced population health strategies such as exploring predictive data models to identify risks earlier and intervene before complications even begin to happen.”    The power of the T1D Exchange Quality Improvement Collaborative  Central to this work is the T1D Exchange Quality Improvement Collaborative (T1DX-QI) — a nationwide network of clinics working together to improve care through shared data, benchmarking, and evidence-based practices.  “I’m thrilled to serve as a Medical Advisor for T1D Exchange, because I’ve seen firsthand the impact this network can have on patient care,” said Dr. Nestoras Mathioudakis. “T1D Exchange is the premier organization for quality improvement in type 1 diabetes, with unparalleled assets like a large EHR database and robust patient registry.”  He added that he is excited to apply his expertise in EHR research and big data analytics to generate real-world evidence across diagnosis, management, and outcomes.  Dr. Viral Shah echoed that perspective, reflecting on T1DX-QI's evolution: “I have been involved with T1D Exchange since its early days and have had the privilege of witnessing how it has transformed the quality of diabetes care across the United States. I’m delighted to return as a Medical Advisor.”  He emphasized the importance of accelerating impact. “I look forward to working closely with the team to accelerate the evidence generation and to help translate these insights to improve patient care.”   Dr. Jenise Wong highlighted the visible impact of T1DX-QI on the delivery of care. "I’m truly honored and grateful to be working with T1D Exchange as a Medical Advisor. 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    36 Comments

    1. Jneticdiabetic

      I selected lower back / upper buttocks only because that’s where I have the most reliable padding to support sensor placement. The only other place I have tried is my stomach, but I get lots of sensor kinks/ failures there. So my selection is based on function ( where I can reliably get readings) ratherthan rather than the accuracy of readings from those two locations.

      1
      5 years ago Log in to Reply
    2. Sahran Holiday

      Have to rotate placement, bleed a lot. Place Omnipod and CGM in same area to keep track, not knock them off. Upper arm is best for me, heals fastest. Also upper outer thigh and upper buttocks. Dexcom wants you to put it on abdomen. Not enough room on me.

      5 years ago Log in to Reply
    3. Joan Fray

      I don’t know whee they are most accurate but the only places i use for cgm location is backsof upper arms. They rarely get knocked off there. Seems like everywhere else they get knocked off. I’m active ….

      5 years ago Log in to Reply
    4. Lynn Green

      The most accurate place for me is on top of my thigh above my knee. It works best on a flatish part of my body.

      1
      5 years ago Log in to Reply
    5. TEH

      This results here are interesting. Assuming the people using the back of the arm are using Dexcom and the one using the abdomen are using Minimed It show that about half the users are on each type sensor.

      I am currently on the Minimed sensor and have no Idea if I could put it on my arm. I may have to switch when I step over to Medicare soon.

      5 years ago Log in to Reply
      1. Bill Williams

        I’m on a Libre and Abbott tells you to use the back of your upper arm. How might that impact your analysis?

        5 years ago Log in to Reply
    6. Lawrence Stearns

      The sensor does not work on my abdomen. My buttocks is about the only place I’ve tried where is works. I get annoyed with Tandem and Dexcom Tech specialists when they tell me that their devices are not warranteed to work unless I wear the sensor on my abdomen. My doctor says to wear it on my buttocks, or wherever I can get it to work. Frustrating.

      1
      5 years ago Log in to Reply
    7. William Bennett

      I rotated between abdomen and back of upper arm. Choice is not so much about accuracy as just the fact that there’s only so much real estate you have between pump insets and CGM and keeping everything moving to avoid existing scar tissue and developing more. Plus my understanding is that you don’t want your CGM placed too close to your infusion site. On MDI I had any number of locations I could inject, but with a tubed pump a lot of those places (buttocks, back of the love handles, back of the arm) are just not practical (yank outs, awkward to reach, etc). So the official CGM locations aren’t always manageable.

      6
      5 years ago Log in to Reply
    8. ConnieT1D62

      Other. Lower abdomen below the belt line. Upper abdomen doesn’t work for me at all.

      For future QoD: Please list distinct choices of lower and upper abdomen as the placement in one location is not the same as placement in the other.

      3
      5 years ago Log in to Reply
      1. George Lovelace

        I answered “Chest”, but replying to ConnieT1D62, it is actually Upper Abdomen, consistent readings with only occasional loss of signal. I keep the lower abdomen available for an Infusion Set.

        1
        5 years ago Log in to Reply
    9. Ahh Life

      Other. I have used every one of these sites with no statistically significant at the 0.05 level difference in BG readings. Sensors seem super accurate, no matter where they are inserted. Miracles are miracles with an amazing mathematical certainty. ✍(◔◡◔)

      5 years ago Log in to Reply
    10. Amanda Barras

      Where it’s “approved” and where my body won’t gush blood upon insertion are 2 very different things. I have much less problems inserting into my arms than I do my abdomen.

      5 years ago Log in to Reply
    11. Daniel Bestvater

      I have rotated my G6 to various parts of my body.
      I have found all areas work but the abdomen appears to be the most accurate.

      1
      5 years ago Log in to Reply
    12. TomH

      Slightly inside of left upper arm. It’s somewhat protected, out of the way, avoids compression lows as I don’t sleep on that side.

      5 years ago Log in to Reply
      1. cynthia jaworski

        i have only used the back of my upper arm because that is what the libre instructions tell me. So, I cannot c ompare accuracy. However, it is out of the way, not prone to being drenched with sweat, and comfortable. Now that I have learned to place it a bit further towards the back I have stopped knocking it off in doorways. Given the discomfort of shots in the abdomen, I would not consider this as an alternative.

        5 years ago Log in to Reply
    13. connie ker

      Abbott Freestyle tells you only on the back of the upper arm , changing arms when changing sensor. I use tape to keep the sensor from coming off or getting loose. This was my first CGM and I use it about 50 scans a day.

      5 years ago Log in to Reply
    14. Bonnie Lundblom

      I’ve tried my Dexcom CGM sensor on my abdomen, buttocks, and back of upper arms. For me the upper arms is the location that provides a substantially more accurate reading so that’s were I place it most often.

      1
      5 years ago Log in to Reply
    15. betsy valian

      I was told to only use the abdomen area, good to know it works elsewhere because it gets kind of sore after switching back and forth in the same area for years!

      2
      5 years ago Log in to Reply
    16. Ceolmhor

      I checked both Inner Thigh and Outer Thigh, but those are both wrong. The only place I seem to have enough real estate is on the front of the upper thigh. Accuracy of your various areas is not really a choice factor for me. There isn’t enough depth to my skin in other reachable (need two hands for Minimed) areas except abdomen, and not enough real estate there to run a rotation program.

      A couple of the comments mentioned bleeding. My bleeding frequency went way down when I started icing the site for 30 seconds before insertion.

      1
      5 years ago Log in to Reply
    17. Janis Senungetuk

      I place the Dex sensor/transmitter on the side of my upper arm because it was uncomfortable on my abdomen, with lots of bleeding. My pump infusion set goes on my abdomen, above my waist. After decades of MDI there are many areas I can no longer use.

      5 years ago Log in to Reply
    18. Becky Hertz

      I said other. I prefer my thighs but not necessarily because I get better readings. I’ve found the readings are about the same between abdomen, arms and thighs. For me, the adhesive lasts longer on my thighs.

      1
      5 years ago Log in to Reply
    19. Dorian Dowell

      Side, and back of upper arm up to the middle of the shoulder.
      Don’t know if it’s anymore accurate, but it is the most comfortable and convenient.

      5 years ago Log in to Reply
    20. Sharon Lillibridge

      I could never wear it anywhere else! i would rip it off in a minute anywhere else with all the gardening that I do.

      5 years ago Log in to Reply
    21. Vickie Baumgartner

      I haven’t tried anywhere but the abdomen with the minimed. Upper thigh I’m sure I’d tear off but I should try some new areas. Have trouble with sweating and losing tape stickiness at this time of year with lots of activity.

      1
      5 years ago Log in to Reply
    22. Tom Rintelmann

      While the abdomen is the recommended placement for CGM’s, they get too sweaty in the Texas heat and get in the way when lifting a heavy object.
      I do use plastic sheath tape to keep my CGM affixed to my body. The best unobtrusive location is rotating the back of my L and R arms.

      Tom

      5 years ago Log in to Reply
    23. JoAnn Pinkowitz

      I find the back of the arm most comfortable. However if I swim 5 days or more the dexcom over patch starts to peel off.

      5 years ago Log in to Reply
    24. Steve Rumble

      I started wearing a CGM YESTERDAY so have had little time to explore CGM placement!

      5 years ago Log in to Reply
    25. Brandon Denson

      I get excellent readings on both of my quads with specific CGM’s.

      5 years ago Log in to Reply
    26. Sasha Wooldridge

      I have the Medtronic CGM and wear it on the side to back of my arm just below the shoulder muscle. I can’t really use it anywhere else and started doing this when I had a Dexcom (which I’ll hopefully be getting back to soon 🤞 ).

      My abdomen is where I rotate my infusion sites and I have very little body fat so my options are limited. If I where it on my butt, lovehandle area, or thighs I would absolutely rip it off. Plus I do yoga so it has to be in a place where I won’t lay on it during poses. I’ve never tried it on my chest. I’m a woman and I did try putting my infusion site in the breast area, but it failed miserably. I’m a little afraid of wasting a sensor trying it out for the CGM. I’m DYING for the Dexcom G7 because I think it will help me use other areas. I’m in desperate need of new sites!

      1
      5 years ago Log in to Reply
    27. Britni

      The Libre is supposed to go on the back of the arm but I often wear them more on the side because I find that the adhesives work a little better there and my skin there isn’t as sensitive so it hurts less when I peel them off.

      1
      5 years ago Log in to Reply
    28. Cheryl Seibert

      I only use stomach and back of arms so cannot rate other areas. However, I much prefer the back of my arms. I wish a BG vs SG accuracy stat would be added to Dexcom and/or Tandem’s reports so SG accuracy could be measured.

      5 years ago Log in to Reply
    29. M C

      I’ve never thought to try other ‘parts’ of my arms. The insulin pump is usually attached on the abdomen, so I don’t want to add insult to injury by applying something else simultaneously.

      5 years ago Log in to Reply
    30. persevereT1D52

      I’ve always used Dexcom on the back of upper arms. It’s accurate and I’ve never had one be knocked off. Only down side of that area is occasionally I will get compression lows at night. Which is very annoying and messes with suspension of basal with CIQ.

      5 years ago Log in to Reply
    31. Tb-well

      My sensor has so many issues as does my closed loop system that I wear it only I. Approved areas due to all of the bad experiences that I have had. I have been told I over calibrate, I don’t enter enough bg readings, I enter too many bg readings, that there are issues with pretty much everything. I only use the sensor as specified due to fear that they not only won’t cover it, but that they won’t help if I don’t.

      5 years ago Log in to Reply
    32. PamK

      I wear my Dexcom on my upper abdomen. I tried my upper arm and my thigh, but found that the abdomen works best for me.

      5 years ago Log in to Reply
    33. T1D5/1971

      Recently had to use my abdomen after shoulder surgery restricted my reach. There’s just not enough real estate on my belly for the sensor and the infusion sets to be adequately rotated. So happy that I can now once again reach my upper glutes to put the sensors where I have preferred to have them for years. The closer to mid-line I can get them, the fewer the compression lows.

      5 years ago Log in to Reply

    CGM sensors are only approved for specific areas of the body, but many people use other locations. If you wear a CGM, do you have an area of your body where you feel you get the most accurate sensor readings? Select all that apply! Cancel reply

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