787-P: Quality of Life and Psychological Well-Being among Children with Diabetes Using Open-Source Automated Insulin Delivery Systems: Findings from a Global Survey

Background: Open-source automated insulin delivery (AID) systems have shown to be safe and effective in clinical and real-world studies and to increase quality of life (QoL) in adult users. However, there is a lack of evidence on the effect on health-related QoL and general wellbeing in children and...

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Veröffentlicht in:Diabetes (New York, N.Y.) N.Y.), 2022-06, Vol.71 (Supplement_1)
Hauptverfasser: KNOLL, CHRISTINE, BRAUNE, KATARINA, BALLHAUSEN, HANNE, SCHIPP, JASMINE, SKINNER, TIMOTHY C., WÄLDCHEN, MANDY, O'DONNELL, SHANE, GAJEWSKA, KATARZYNA A., CLEAL, BRYAN, RAILE, KLEMENS
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container_issue Supplement_1
container_start_page
container_title Diabetes (New York, N.Y.)
container_volume 71
creator KNOLL, CHRISTINE
BRAUNE, KATARINA
BALLHAUSEN, HANNE
SCHIPP, JASMINE
SKINNER, TIMOTHY C.
WÄLDCHEN, MANDY
O'DONNELL, SHANE
GAJEWSKA, KATARZYNA A.
CLEAL, BRYAN
RAILE, KLEMENS
description Background: Open-source automated insulin delivery (AID) systems have shown to be safe and effective in clinical and real-world studies and to increase quality of life (QoL) in adult users. However, there is a lack of evidence on the effect on health-related QoL and general wellbeing in children and their caregivers. Therefore, the aim of this study was to assess the QoL of children and adolescents with diabetes using open-source AID systems using validated measures. Method: In this cross-sectional, population-based global online survey we examined the caregiver-reported QoL and psychological well-being of users and non-users of open-source AID. Validated questionnaires assessed general emotional wellbeing (WHO-5 Well-being Index) , diabetes-specific QoL (Problem Areas in Diabetes Survey - Parent Revised version (PAID-PR) , Pediatric Quality of Life Inventory (PedsQL, diabetes module) and subjective sleep quality (Pittsburgh Sleep Quality Index (PSQI)) . Results: In total 188 caregivers from 27 countries completed at least one questionnaire on behalf of their children, including 132 children with type 1 diabetes using open-source AID (mean age 11.5 (SD 3.5) , 48% female) and 56 children with type 1 diabetes who were non-users at the time of the survey (mean age 10.4 (SD 3.3) , 41% female) . All questionnaire scores showed significant between-group differences with the AID users reporting higher general (WHO-5: p
doi_str_mv 10.2337/db22-787-P
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However, there is a lack of evidence on the effect on health-related QoL and general wellbeing in children and their caregivers. Therefore, the aim of this study was to assess the QoL of children and adolescents with diabetes using open-source AID systems using validated measures. Method: In this cross-sectional, population-based global online survey we examined the caregiver-reported QoL and psychological well-being of users and non-users of open-source AID. Validated questionnaires assessed general emotional wellbeing (WHO-5 Well-being Index) , diabetes-specific QoL (Problem Areas in Diabetes Survey - Parent Revised version (PAID-PR) , Pediatric Quality of Life Inventory (PedsQL, diabetes module) and subjective sleep quality (Pittsburgh Sleep Quality Index (PSQI)) . Results: In total 188 caregivers from 27 countries completed at least one questionnaire on behalf of their children, including 132 children with type 1 diabetes using open-source AID (mean age 11.5 (SD 3.5) , 48% female) and 56 children with type 1 diabetes who were non-users at the time of the survey (mean age 10.4 (SD 3.3) , 41% female) . All questionnaire scores showed significant between-group differences with the AID users reporting higher general (WHO-5: p&lt;0.001) , diabetes-related (PAID: p=0.029; PedsQL: p=0.016) and sleep-related QoL (PSQI: p&lt;0.001) . Discussion: The results show the beneficial impact that open-source AID systems have on the QoL and psychological well-being of children and adolescents, and can therefore help to inform academia, regulatory decision- and policymakers about the potential that open-source AID systems hold. Further research is needed to examine the reasons for the differences between the groups.</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db22-787-P</identifier><language>eng</language><publisher>New York: American Diabetes Association</publisher><subject>Adolescents ; Automation ; Caregivers ; Children ; Diabetes ; Diabetes mellitus (insulin dependent) ; Insulin ; Pediatrics ; Quality of life ; Questionnaires ; Sleep ; Surveys ; Well being</subject><ispartof>Diabetes (New York, N.Y.), 2022-06, Vol.71 (Supplement_1)</ispartof><rights>Copyright American Diabetes Association Jun 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1041-29b3d98f497e1285495d30a95ff1a746e5608c6047520c7d45441b51ac6412773</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>KNOLL, CHRISTINE</creatorcontrib><creatorcontrib>BRAUNE, KATARINA</creatorcontrib><creatorcontrib>BALLHAUSEN, HANNE</creatorcontrib><creatorcontrib>SCHIPP, JASMINE</creatorcontrib><creatorcontrib>SKINNER, TIMOTHY C.</creatorcontrib><creatorcontrib>WÄLDCHEN, MANDY</creatorcontrib><creatorcontrib>O'DONNELL, SHANE</creatorcontrib><creatorcontrib>GAJEWSKA, KATARZYNA A.</creatorcontrib><creatorcontrib>CLEAL, BRYAN</creatorcontrib><creatorcontrib>RAILE, KLEMENS</creatorcontrib><title>787-P: Quality of Life and Psychological Well-Being among Children with Diabetes Using Open-Source Automated Insulin Delivery Systems: Findings from a Global Survey</title><title>Diabetes (New York, N.Y.)</title><description>Background: Open-source automated insulin delivery (AID) systems have shown to be safe and effective in clinical and real-world studies and to increase quality of life (QoL) in adult users. However, there is a lack of evidence on the effect on health-related QoL and general wellbeing in children and their caregivers. Therefore, the aim of this study was to assess the QoL of children and adolescents with diabetes using open-source AID systems using validated measures. Method: In this cross-sectional, population-based global online survey we examined the caregiver-reported QoL and psychological well-being of users and non-users of open-source AID. Validated questionnaires assessed general emotional wellbeing (WHO-5 Well-being Index) , diabetes-specific QoL (Problem Areas in Diabetes Survey - Parent Revised version (PAID-PR) , Pediatric Quality of Life Inventory (PedsQL, diabetes module) and subjective sleep quality (Pittsburgh Sleep Quality Index (PSQI)) . Results: In total 188 caregivers from 27 countries completed at least one questionnaire on behalf of their children, including 132 children with type 1 diabetes using open-source AID (mean age 11.5 (SD 3.5) , 48% female) and 56 children with type 1 diabetes who were non-users at the time of the survey (mean age 10.4 (SD 3.3) , 41% female) . All questionnaire scores showed significant between-group differences with the AID users reporting higher general (WHO-5: p&lt;0.001) , diabetes-related (PAID: p=0.029; PedsQL: p=0.016) and sleep-related QoL (PSQI: p&lt;0.001) . Discussion: The results show the beneficial impact that open-source AID systems have on the QoL and psychological well-being of children and adolescents, and can therefore help to inform academia, regulatory decision- and policymakers about the potential that open-source AID systems hold. Further research is needed to examine the reasons for the differences between the groups.</description><subject>Adolescents</subject><subject>Automation</subject><subject>Caregivers</subject><subject>Children</subject><subject>Diabetes</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Insulin</subject><subject>Pediatrics</subject><subject>Quality of life</subject><subject>Questionnaires</subject><subject>Sleep</subject><subject>Surveys</subject><subject>Well being</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNotkd1O3DAQha2KSl0oNzzBSNwhmdqOHcfcwfJTpJXYakHlLnKSCWvkxIudgPI-fdBmSzXSzM03c3TmEHLC2bnIMv2jqYSgutB0_YUsuMkMzYR-PiALxrigXBv9jRym9MoYy-dakD__4Av4NVrvhglCCyvXIti-gXWa6m3w4cXV1sNv9J5eoetfwHZh7sut803EHj7csIVrZyscMMFT2iMPO-zpJoyxRrgch9DZARu479PoXQ_X6N07xgk2UxqwSxdw6_pm3kvQxtCBhTsfqll0M8Z3nL6Tr631CY__zyPydHvzuPxJVw9398vLFa05k5wKU2WNKVppNHJRKGlUkzFrVNtyq2WOKmdFnTOplWC1bqSSkleK2zqXXGidHZHTz7u7GN5GTEP5OjvoZ8lS5IVShjHDZ-rsk6pjSCliW-6i62ycSs7KfQrlPoVyfmy5zv4Cafh5zw</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>KNOLL, CHRISTINE</creator><creator>BRAUNE, KATARINA</creator><creator>BALLHAUSEN, HANNE</creator><creator>SCHIPP, JASMINE</creator><creator>SKINNER, TIMOTHY C.</creator><creator>WÄLDCHEN, MANDY</creator><creator>O'DONNELL, SHANE</creator><creator>GAJEWSKA, KATARZYNA A.</creator><creator>CLEAL, BRYAN</creator><creator>RAILE, KLEMENS</creator><general>American Diabetes Association</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20220601</creationdate><title>787-P: Quality of Life and Psychological Well-Being among Children with Diabetes Using Open-Source Automated Insulin Delivery Systems: Findings from a Global Survey</title><author>KNOLL, CHRISTINE ; BRAUNE, KATARINA ; BALLHAUSEN, HANNE ; SCHIPP, JASMINE ; SKINNER, TIMOTHY C. ; WÄLDCHEN, MANDY ; O'DONNELL, SHANE ; GAJEWSKA, KATARZYNA A. ; CLEAL, BRYAN ; RAILE, KLEMENS</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1041-29b3d98f497e1285495d30a95ff1a746e5608c6047520c7d45441b51ac6412773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adolescents</topic><topic>Automation</topic><topic>Caregivers</topic><topic>Children</topic><topic>Diabetes</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Insulin</topic><topic>Pediatrics</topic><topic>Quality of life</topic><topic>Questionnaires</topic><topic>Sleep</topic><topic>Surveys</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KNOLL, CHRISTINE</creatorcontrib><creatorcontrib>BRAUNE, KATARINA</creatorcontrib><creatorcontrib>BALLHAUSEN, HANNE</creatorcontrib><creatorcontrib>SCHIPP, JASMINE</creatorcontrib><creatorcontrib>SKINNER, TIMOTHY C.</creatorcontrib><creatorcontrib>WÄLDCHEN, MANDY</creatorcontrib><creatorcontrib>O'DONNELL, SHANE</creatorcontrib><creatorcontrib>GAJEWSKA, KATARZYNA A.</creatorcontrib><creatorcontrib>CLEAL, BRYAN</creatorcontrib><creatorcontrib>RAILE, KLEMENS</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KNOLL, CHRISTINE</au><au>BRAUNE, KATARINA</au><au>BALLHAUSEN, HANNE</au><au>SCHIPP, JASMINE</au><au>SKINNER, TIMOTHY C.</au><au>WÄLDCHEN, MANDY</au><au>O'DONNELL, SHANE</au><au>GAJEWSKA, KATARZYNA A.</au><au>CLEAL, BRYAN</au><au>RAILE, KLEMENS</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>787-P: Quality of Life and Psychological Well-Being among Children with Diabetes Using Open-Source Automated Insulin Delivery Systems: Findings from a Global Survey</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>71</volume><issue>Supplement_1</issue><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Background: Open-source automated insulin delivery (AID) systems have shown to be safe and effective in clinical and real-world studies and to increase quality of life (QoL) in adult users. However, there is a lack of evidence on the effect on health-related QoL and general wellbeing in children and their caregivers. Therefore, the aim of this study was to assess the QoL of children and adolescents with diabetes using open-source AID systems using validated measures. Method: In this cross-sectional, population-based global online survey we examined the caregiver-reported QoL and psychological well-being of users and non-users of open-source AID. Validated questionnaires assessed general emotional wellbeing (WHO-5 Well-being Index) , diabetes-specific QoL (Problem Areas in Diabetes Survey - Parent Revised version (PAID-PR) , Pediatric Quality of Life Inventory (PedsQL, diabetes module) and subjective sleep quality (Pittsburgh Sleep Quality Index (PSQI)) . Results: In total 188 caregivers from 27 countries completed at least one questionnaire on behalf of their children, including 132 children with type 1 diabetes using open-source AID (mean age 11.5 (SD 3.5) , 48% female) and 56 children with type 1 diabetes who were non-users at the time of the survey (mean age 10.4 (SD 3.3) , 41% female) . All questionnaire scores showed significant between-group differences with the AID users reporting higher general (WHO-5: p&lt;0.001) , diabetes-related (PAID: p=0.029; PedsQL: p=0.016) and sleep-related QoL (PSQI: p&lt;0.001) . Discussion: The results show the beneficial impact that open-source AID systems have on the QoL and psychological well-being of children and adolescents, and can therefore help to inform academia, regulatory decision- and policymakers about the potential that open-source AID systems hold. Further research is needed to examine the reasons for the differences between the groups.</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db22-787-P</doi></addata></record>
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source EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Adolescents
Automation
Caregivers
Children
Diabetes
Diabetes mellitus (insulin dependent)
Insulin
Pediatrics
Quality of life
Questionnaires
Sleep
Surveys
Well being
title 787-P: Quality of Life and Psychological Well-Being among Children with Diabetes Using Open-Source Automated Insulin Delivery Systems: Findings from a Global Survey
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