Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes
As increasing numbers of people with insulin-managed diabetes use automated insulin delivery (AID) systems or seek such technologies, healthcare providers are faced with a steep learning curve. Healthcare providers need to understand how to support these technologies to help inform shared decision m...
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| Veröffentlicht in: | Diabetes therapy 2022-09, Vol.13 (9), p.1683-1699 |
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| description | As increasing numbers of people with insulin-managed diabetes use automated insulin delivery (AID) systems or seek such technologies, healthcare providers are faced with a steep learning curve. Healthcare providers need to understand how to support these technologies to help inform shared decision making, discussing available options, implementing them in the clinical setting, and guiding users in special situations. At the same time, there is a growing diversity of commercial and open source automated insulin delivery systems that are evolving at a rapid pace. This practical guide seeks to provide a conversational framework for healthcare providers to first understand and then jointly assess AID system options with users and caregivers. Using this framework will help HCPs in learning how to evaluate potential new commercial or open source AID systems, while also providing a guide for conversations to help HCPs to assess the readiness and understanding of users for AID systems. The choice of an AID system is not as simple as whether the system is open source or commercially developed, and indeed there are multiple criteria to assess when choosing an AID system. Most importantly, the choices and preferences of the person living with diabetes should be at the center of any decision around the ideal automated insulin delivery system or any other diabetes technology. This framework highlights issues with AID use that may lead to burnout or perceived failures or may otherwise cause users to abandon the use of AID. It discusses the troubleshooting of basic AID system operation and discusses more advanced topics regarding how to maximize the time spent on AID systems, including how to optimize settings and behaviors for the best possible outcomes with AID technology for people with insulin-requiring diabetes. This practical approach article demonstrates how healthcare providers will benefit from assessing and better understanding all available AID system options to enable them to best support each individual.
Plain Language Summary
Automated insulin delivery (AID) systems are a useful tool for people with insulin-requiring diabetes. AID systems include an insulin pump, continuous glucose monitor (CGM), and an algorithm embedded within the pump or a separate mobile device that can determine and automatically adjust insulin delivery in response to glucose levels. There are now a number of AID systems available, some which are made and distributed by commercial manu |
| doi_str_mv | 10.1007/s13300-022-01299-9 |
| format | Article |
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Plain Language Summary
Automated insulin delivery (AID) systems are a useful tool for people with insulin-requiring diabetes. AID systems include an insulin pump, continuous glucose monitor (CGM), and an algorithm embedded within the pump or a separate mobile device that can determine and automatically adjust insulin delivery in response to glucose levels. There are now a number of AID systems available, some which are made and distributed by commercial manufacturers and some that are available open source. Both open source and commercially developed automated insulin delivery systems have been proven to be safe and effective. Open source and commercially developed automated insulin delivery systems have also been proven to improve the quality of life of people with insulin-requiring diabetes. The choice of an AID system is not merely whether the system is open source or commercially developed. There are multiple criteria to assess when choosing an AID system: pump, CGM, smartphone connectivity and algorithm capabilities, flexibility of the system overall, and interoperability with connected platforms for real-time data access. Most importantly, the choices and preferences of the person living with diabetes should be at the center of any decision around the ideal automated insulin delivery system or any other diabetes technology. Healthcare providers will benefit from assessing and better understanding all available AID system options to enable them to best support each individual. This practical guide seeks to provide a conversational framework for healthcare providers to first understand and then jointly assess AID system options with users and caregivers.</description><identifier>ISSN: 1869-6953</identifier><identifier>EISSN: 1869-6961</identifier><identifier>DOI: 10.1007/s13300-022-01299-9</identifier><identifier>PMID: 35913655</identifier><language>eng</language><publisher>Cheshire: Springer Healthcare</publisher><subject>Automation ; Cardiology ; Caregivers ; Decision making ; Diabetes ; Diabetes therapy ; Dosage and administration ; Drug delivery systems ; Drug utilization ; Drugs ; Endocrinology ; Insulin ; Internal Medicine ; Medicine ; Medicine & Public Health ; Methods ; Practical Approach ; Technology application ; Vehicles</subject><ispartof>Diabetes therapy, 2022-09, Vol.13 (9), p.1683-1699</ispartof><rights>The Author(s) 2022</rights><rights>COPYRIGHT 2022 Springer</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). 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Healthcare providers need to understand how to support these technologies to help inform shared decision making, discussing available options, implementing them in the clinical setting, and guiding users in special situations. At the same time, there is a growing diversity of commercial and open source automated insulin delivery systems that are evolving at a rapid pace. This practical guide seeks to provide a conversational framework for healthcare providers to first understand and then jointly assess AID system options with users and caregivers. Using this framework will help HCPs in learning how to evaluate potential new commercial or open source AID systems, while also providing a guide for conversations to help HCPs to assess the readiness and understanding of users for AID systems. The choice of an AID system is not as simple as whether the system is open source or commercially developed, and indeed there are multiple criteria to assess when choosing an AID system. Most importantly, the choices and preferences of the person living with diabetes should be at the center of any decision around the ideal automated insulin delivery system or any other diabetes technology. This framework highlights issues with AID use that may lead to burnout or perceived failures or may otherwise cause users to abandon the use of AID. It discusses the troubleshooting of basic AID system operation and discusses more advanced topics regarding how to maximize the time spent on AID systems, including how to optimize settings and behaviors for the best possible outcomes with AID technology for people with insulin-requiring diabetes. This practical approach article demonstrates how healthcare providers will benefit from assessing and better understanding all available AID system options to enable them to best support each individual.
Plain Language Summary
Automated insulin delivery (AID) systems are a useful tool for people with insulin-requiring diabetes. AID systems include an insulin pump, continuous glucose monitor (CGM), and an algorithm embedded within the pump or a separate mobile device that can determine and automatically adjust insulin delivery in response to glucose levels. There are now a number of AID systems available, some which are made and distributed by commercial manufacturers and some that are available open source. Both open source and commercially developed automated insulin delivery systems have been proven to be safe and effective. Open source and commercially developed automated insulin delivery systems have also been proven to improve the quality of life of people with insulin-requiring diabetes. The choice of an AID system is not merely whether the system is open source or commercially developed. There are multiple criteria to assess when choosing an AID system: pump, CGM, smartphone connectivity and algorithm capabilities, flexibility of the system overall, and interoperability with connected platforms for real-time data access. Most importantly, the choices and preferences of the person living with diabetes should be at the center of any decision around the ideal automated insulin delivery system or any other diabetes technology. Healthcare providers will benefit from assessing and better understanding all available AID system options to enable them to best support each individual. This practical guide seeks to provide a conversational framework for healthcare providers to first understand and then jointly assess AID system options with users and caregivers.</description><subject>Automation</subject><subject>Cardiology</subject><subject>Caregivers</subject><subject>Decision making</subject><subject>Diabetes</subject><subject>Diabetes therapy</subject><subject>Dosage and administration</subject><subject>Drug delivery systems</subject><subject>Drug utilization</subject><subject>Drugs</subject><subject>Endocrinology</subject><subject>Insulin</subject><subject>Internal Medicine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Methods</subject><subject>Practical Approach</subject><subject>Technology application</subject><subject>Vehicles</subject><issn>1869-6953</issn><issn>1869-6961</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9Us1u3CAYtKpGTZTkBXpC6qUXp2AwNj1UWm3aJFKkrLrtGbHsxy6RDQ7gRPtMfcnibJooVVU48PPNDDBMUbwn-Ixg3HyKhFKMS1xVJSaVEKV4UxyRlouSC07ePs9relicxniLc6NCCELeFYe0FoTyuj4qfi2C0slq1aGL0a6V04C8QzcDOLT0Y8hL5dZo7vsegrYZNhuT71WCNbpyceysQ-fQ2XsIO7TcxQR9_Ixmj2KAjA_oElSXtloFQIvgDcRovVNdRMtxGHxI1m3QAvzQAXqwaftHtfwOd6MNU_XcqhUkiCfFgclEOH0aj4uf377-mF-W1zcXV_PZdakZa1OpMRN1TUEzXnNlDGFgBKerikNT0SZXVF7CSteGZVN4K3irVcU0N3WFmaHHxZe97jCuelhrcCmoTg7B9irspFdWvq44u5Ubfy9FNphSkgU-PgkEfzdCTLK3UUPXKQd-jLLiosGiYg3N0A9_QW-z65M_shK0JQyTpnlBbVQH0jrj87l6EpWzhtSkpQyLjDr7Byr3NfRWewfG5v1XhGpP0MHHGMA8v5FgOaVM7lMmc8rkY8rkRKJ7Uhym34HwcuP_sH4DMQbU0Q</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Lewis, Dana M.</creator><creator>Hussain, Sufyan</creator><general>Springer Healthcare</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9176-6308</orcidid><orcidid>https://orcid.org/0000-0001-6611-8245</orcidid></search><sort><creationdate>20220901</creationdate><title>Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes</title><author>Lewis, Dana M. ; Hussain, Sufyan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-c049553ec4656aff14ef963b26e723753ea963ebc5f400068968ca24c6f5204f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Automation</topic><topic>Cardiology</topic><topic>Caregivers</topic><topic>Decision making</topic><topic>Diabetes</topic><topic>Diabetes therapy</topic><topic>Dosage and administration</topic><topic>Drug delivery systems</topic><topic>Drug utilization</topic><topic>Drugs</topic><topic>Endocrinology</topic><topic>Insulin</topic><topic>Internal Medicine</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Methods</topic><topic>Practical Approach</topic><topic>Technology application</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Lewis, Dana M.</creatorcontrib><creatorcontrib>Hussain, Sufyan</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Diabetes therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lewis, Dana M.</au><au>Hussain, Sufyan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes</atitle><jtitle>Diabetes therapy</jtitle><stitle>Diabetes Ther</stitle><date>2022-09-01</date><risdate>2022</risdate><volume>13</volume><issue>9</issue><spage>1683</spage><epage>1699</epage><pages>1683-1699</pages><issn>1869-6953</issn><eissn>1869-6961</eissn><abstract>As increasing numbers of people with insulin-managed diabetes use automated insulin delivery (AID) systems or seek such technologies, healthcare providers are faced with a steep learning curve. Healthcare providers need to understand how to support these technologies to help inform shared decision making, discussing available options, implementing them in the clinical setting, and guiding users in special situations. At the same time, there is a growing diversity of commercial and open source automated insulin delivery systems that are evolving at a rapid pace. This practical guide seeks to provide a conversational framework for healthcare providers to first understand and then jointly assess AID system options with users and caregivers. Using this framework will help HCPs in learning how to evaluate potential new commercial or open source AID systems, while also providing a guide for conversations to help HCPs to assess the readiness and understanding of users for AID systems. The choice of an AID system is not as simple as whether the system is open source or commercially developed, and indeed there are multiple criteria to assess when choosing an AID system. Most importantly, the choices and preferences of the person living with diabetes should be at the center of any decision around the ideal automated insulin delivery system or any other diabetes technology. This framework highlights issues with AID use that may lead to burnout or perceived failures or may otherwise cause users to abandon the use of AID. It discusses the troubleshooting of basic AID system operation and discusses more advanced topics regarding how to maximize the time spent on AID systems, including how to optimize settings and behaviors for the best possible outcomes with AID technology for people with insulin-requiring diabetes. This practical approach article demonstrates how healthcare providers will benefit from assessing and better understanding all available AID system options to enable them to best support each individual.
Plain Language Summary
Automated insulin delivery (AID) systems are a useful tool for people with insulin-requiring diabetes. AID systems include an insulin pump, continuous glucose monitor (CGM), and an algorithm embedded within the pump or a separate mobile device that can determine and automatically adjust insulin delivery in response to glucose levels. There are now a number of AID systems available, some which are made and distributed by commercial manufacturers and some that are available open source. Both open source and commercially developed automated insulin delivery systems have been proven to be safe and effective. Open source and commercially developed automated insulin delivery systems have also been proven to improve the quality of life of people with insulin-requiring diabetes. The choice of an AID system is not merely whether the system is open source or commercially developed. There are multiple criteria to assess when choosing an AID system: pump, CGM, smartphone connectivity and algorithm capabilities, flexibility of the system overall, and interoperability with connected platforms for real-time data access. Most importantly, the choices and preferences of the person living with diabetes should be at the center of any decision around the ideal automated insulin delivery system or any other diabetes technology. Healthcare providers will benefit from assessing and better understanding all available AID system options to enable them to best support each individual. This practical guide seeks to provide a conversational framework for healthcare providers to first understand and then jointly assess AID system options with users and caregivers.</abstract><cop>Cheshire</cop><pub>Springer Healthcare</pub><pmid>35913655</pmid><doi>10.1007/s13300-022-01299-9</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-9176-6308</orcidid><orcidid>https://orcid.org/0000-0001-6611-8245</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Springer Nature OA/Free Journals |
| subjects | Automation Cardiology Caregivers Decision making Diabetes Diabetes therapy Dosage and administration Drug delivery systems Drug utilization Drugs Endocrinology Insulin Internal Medicine Medicine Medicine & Public Health Methods Practical Approach Technology application Vehicles |
| title | Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes |
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