The impact of non-severe hypoglycemic events on daytime function and diabetes management among adults with type 1 and type 2 diabetes
Abstract Objectives: To describe daytime non-severe hypoglycemic events (NSHEs), assess their impact on patient functioning and diabetes self-management, and examine if these impacts differ by diabetes type or country. Methods: Internet survey to adults with diabetes in the US, UK, Germany, and Fran...
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| Veröffentlicht in: | Journal of medical economics 2012-10, Vol.15 (5), p.869-877 |
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| container_title | Journal of medical economics |
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| creator | Brod, Meryl Christensen, Torsten Bushnell, Donald M. |
| description | Abstract
Objectives:
To describe daytime non-severe hypoglycemic events (NSHEs), assess their impact on patient functioning and diabetes self-management, and examine if these impacts differ by diabetes type or country.
Methods:
Internet survey to adults with diabetes in the US, UK, Germany, and France.
Results:
Of 6756 screened respondents, 2439 reported a daytime NSHE in the past month. NSHEs occurred while active (e.g., running errands) (45.1%), 29.6% while not active (e.g., watching TV), and 23.8% at work. On average, it took half a day to respond and recover from NSHE. Respondents monitored their glucose 5.7 extra times on average over the following week. On the day of event, type 1 respondents tested significantly more often than type 2 (p |
| doi_str_mv | 10.3111/13696998.2012.686465 |
| format | Article |
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Objectives:
To describe daytime non-severe hypoglycemic events (NSHEs), assess their impact on patient functioning and diabetes self-management, and examine if these impacts differ by diabetes type or country.
Methods:
Internet survey to adults with diabetes in the US, UK, Germany, and France.
Results:
Of 6756 screened respondents, 2439 reported a daytime NSHE in the past month. NSHEs occurred while active (e.g., running errands) (45.1%), 29.6% while not active (e.g., watching TV), and 23.8% at work. On average, it took half a day to respond and recover from NSHE. Respondents monitored their glucose 5.7 extra times on average over the following week. On the day of event, type 1 respondents tested significantly more often than type 2 (p < 0.05). Type 2 were less likely to confirm NSHE with glucose test (p < 0.001). Following NSHE, 12.6% of respondents reduced total insulin by an average of 7.6 units (SD = 8.3). Total units and days with reduced dosing was significantly less, whilst number of additional glucose tests and time to recover was significantly longer if NSHE occurred at work (p < 0.001). Type 1 decreased insulin doses more often (p < 0.001); however, type 2 decreased a greater number of units (p < 0.01). Compared with other countries, US respondents were more likely to eat a light or full meal and respondents in France took significantly longer than all other countries to recognize (p < 0.05), respond to (p < 0.001), and recover from (p < 0.001) NSHE, used significantly more monitoring tests the day of (p < 0.05) and over the subsequent week (p < 0.001), and decreased their normal insulin dose more (p < 0.001). Limitations of the study include potential recall bias and selection bias.
Conclusions:
NSHEs are associated with a significant impact on patient functioning and diabetes management.]]></description><identifier>ISSN: 1369-6998</identifier><identifier>EISSN: 1941-837X</identifier><identifier>DOI: 10.3111/13696998.2012.686465</identifier><identifier>PMID: 22510017</identifier><language>eng</language><publisher>England: Informa UK Ltd</publisher><subject>Activities of Daily Living ; Adult ; Diabetes mellitus ; Diabetes Mellitus, Type 1 - physiopathology ; Diabetes Mellitus, Type 1 - therapy ; Diabetes Mellitus, Type 2 - physiopathology ; Diabetes Mellitus, Type 2 - therapy ; Disease management ; Female ; France - epidemiology ; Germany - epidemiology ; Health Care Surveys ; Humans ; Hypoglycemia ; Hypoglycemia - economics ; Hypoglycemia - epidemiology ; Hypoglycemia - physiopathology ; Internet ; Male ; Middle Aged ; Productivity ; Quality-of-life ; Self Care ; United Kingdom - epidemiology ; United States - epidemiology</subject><ispartof>Journal of medical economics, 2012-10, Vol.15 (5), p.869-877</ispartof><rights>2012 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3795-c9fd402a5055606ee4e1f0aa496f6c84502bc9316a01104aefdb27c5606aa1e43</citedby><cites>FETCH-LOGICAL-c3795-c9fd402a5055606ee4e1f0aa496f6c84502bc9316a01104aefdb27c5606aa1e43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22510017$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brod, Meryl</creatorcontrib><creatorcontrib>Christensen, Torsten</creatorcontrib><creatorcontrib>Bushnell, Donald M.</creatorcontrib><title>The impact of non-severe hypoglycemic events on daytime function and diabetes management among adults with type 1 and type 2 diabetes</title><title>Journal of medical economics</title><addtitle>J Med Econ</addtitle><description><![CDATA[Abstract
Objectives:
To describe daytime non-severe hypoglycemic events (NSHEs), assess their impact on patient functioning and diabetes self-management, and examine if these impacts differ by diabetes type or country.
Methods:
Internet survey to adults with diabetes in the US, UK, Germany, and France.
Results:
Of 6756 screened respondents, 2439 reported a daytime NSHE in the past month. NSHEs occurred while active (e.g., running errands) (45.1%), 29.6% while not active (e.g., watching TV), and 23.8% at work. On average, it took half a day to respond and recover from NSHE. Respondents monitored their glucose 5.7 extra times on average over the following week. On the day of event, type 1 respondents tested significantly more often than type 2 (p < 0.05). Type 2 were less likely to confirm NSHE with glucose test (p < 0.001). Following NSHE, 12.6% of respondents reduced total insulin by an average of 7.6 units (SD = 8.3). Total units and days with reduced dosing was significantly less, whilst number of additional glucose tests and time to recover was significantly longer if NSHE occurred at work (p < 0.001). Type 1 decreased insulin doses more often (p < 0.001); however, type 2 decreased a greater number of units (p < 0.01). Compared with other countries, US respondents were more likely to eat a light or full meal and respondents in France took significantly longer than all other countries to recognize (p < 0.05), respond to (p < 0.001), and recover from (p < 0.001) NSHE, used significantly more monitoring tests the day of (p < 0.05) and over the subsequent week (p < 0.001), and decreased their normal insulin dose more (p < 0.001). Limitations of the study include potential recall bias and selection bias.
Conclusions:
NSHEs are associated with a significant impact on patient functioning and diabetes management.]]></description><subject>Activities of Daily Living</subject><subject>Adult</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 1 - physiopathology</subject><subject>Diabetes Mellitus, Type 1 - therapy</subject><subject>Diabetes Mellitus, Type 2 - physiopathology</subject><subject>Diabetes Mellitus, Type 2 - therapy</subject><subject>Disease management</subject><subject>Female</subject><subject>France - epidemiology</subject><subject>Germany - epidemiology</subject><subject>Health Care Surveys</subject><subject>Humans</subject><subject>Hypoglycemia</subject><subject>Hypoglycemia - economics</subject><subject>Hypoglycemia - epidemiology</subject><subject>Hypoglycemia - physiopathology</subject><subject>Internet</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Productivity</subject><subject>Quality-of-life</subject><subject>Self Care</subject><subject>United Kingdom - epidemiology</subject><subject>United States - epidemiology</subject><issn>1369-6998</issn><issn>1941-837X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc9q3DAQxkVpacI2b1CKjr14K9myvL60lJD-gUAvKfQmZuXRWsGSXElu8AP0vavNJoFeoouG4ffNDN9HyFvOtg3n_ANvZC_7fretGa-3cieFbF-Qc94LXu2a7tfLUhekOjJn5CKlW1Ze03DW8dfkrK5bzhjvzsnfmxGpdTPoTIOhPvgq4R-MSMd1Dodp1eispqXlc6LB0wHWbB1Ss3idbWmAH-hgYY8ZE3Xg4YCuwBRc8AcKwzIV4Z3NI83rjJTfC-7L-kn3hrwyMCW8ePg35OeXq5vLb9X1j6_fLz9fV7rp-rbSvRkEq6FlbSuZRBTIDQMQvTRS70TL6r3uGy6Bcc4EoBn2daePLABH0WzI-9PcOYbfC6asnE0apwk8hiUpXiwSbdMXqzZEnFAdQ0oRjZqjdRDXAqljBuoxA3XMQJ0yKLJ3DxuWvcPhSfToeAE-nQDrTYgO7kKcBpVhnUI0Eby2qYx_fsXH_yaMCFMeNURUt2GJvhj4_I3_AJW1qiI</recordid><startdate>201210</startdate><enddate>201210</enddate><creator>Brod, Meryl</creator><creator>Christensen, Torsten</creator><creator>Bushnell, Donald M.</creator><general>Informa UK Ltd</general><general>Taylor & Francis</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201210</creationdate><title>The impact of non-severe hypoglycemic events on daytime function and diabetes management among adults with type 1 and type 2 diabetes</title><author>Brod, Meryl ; Christensen, Torsten ; Bushnell, Donald M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3795-c9fd402a5055606ee4e1f0aa496f6c84502bc9316a01104aefdb27c5606aa1e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Activities of Daily Living</topic><topic>Adult</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus, Type 1 - physiopathology</topic><topic>Diabetes Mellitus, Type 1 - therapy</topic><topic>Diabetes Mellitus, Type 2 - physiopathology</topic><topic>Diabetes Mellitus, Type 2 - therapy</topic><topic>Disease management</topic><topic>Female</topic><topic>France - epidemiology</topic><topic>Germany - epidemiology</topic><topic>Health Care Surveys</topic><topic>Humans</topic><topic>Hypoglycemia</topic><topic>Hypoglycemia - economics</topic><topic>Hypoglycemia - epidemiology</topic><topic>Hypoglycemia - physiopathology</topic><topic>Internet</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Productivity</topic><topic>Quality-of-life</topic><topic>Self Care</topic><topic>United Kingdom - epidemiology</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brod, Meryl</creatorcontrib><creatorcontrib>Christensen, Torsten</creatorcontrib><creatorcontrib>Bushnell, Donald M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of medical economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brod, Meryl</au><au>Christensen, Torsten</au><au>Bushnell, Donald M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of non-severe hypoglycemic events on daytime function and diabetes management among adults with type 1 and type 2 diabetes</atitle><jtitle>Journal of medical economics</jtitle><addtitle>J Med Econ</addtitle><date>2012-10</date><risdate>2012</risdate><volume>15</volume><issue>5</issue><spage>869</spage><epage>877</epage><pages>869-877</pages><issn>1369-6998</issn><eissn>1941-837X</eissn><abstract><![CDATA[Abstract
Objectives:
To describe daytime non-severe hypoglycemic events (NSHEs), assess their impact on patient functioning and diabetes self-management, and examine if these impacts differ by diabetes type or country.
Methods:
Internet survey to adults with diabetes in the US, UK, Germany, and France.
Results:
Of 6756 screened respondents, 2439 reported a daytime NSHE in the past month. NSHEs occurred while active (e.g., running errands) (45.1%), 29.6% while not active (e.g., watching TV), and 23.8% at work. On average, it took half a day to respond and recover from NSHE. Respondents monitored their glucose 5.7 extra times on average over the following week. On the day of event, type 1 respondents tested significantly more often than type 2 (p < 0.05). Type 2 were less likely to confirm NSHE with glucose test (p < 0.001). Following NSHE, 12.6% of respondents reduced total insulin by an average of 7.6 units (SD = 8.3). Total units and days with reduced dosing was significantly less, whilst number of additional glucose tests and time to recover was significantly longer if NSHE occurred at work (p < 0.001). Type 1 decreased insulin doses more often (p < 0.001); however, type 2 decreased a greater number of units (p < 0.01). Compared with other countries, US respondents were more likely to eat a light or full meal and respondents in France took significantly longer than all other countries to recognize (p < 0.05), respond to (p < 0.001), and recover from (p < 0.001) NSHE, used significantly more monitoring tests the day of (p < 0.05) and over the subsequent week (p < 0.001), and decreased their normal insulin dose more (p < 0.001). Limitations of the study include potential recall bias and selection bias.
Conclusions:
NSHEs are associated with a significant impact on patient functioning and diabetes management.]]></abstract><cop>England</cop><pub>Informa UK Ltd</pub><pmid>22510017</pmid><doi>10.3111/13696998.2012.686465</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Activities of Daily Living Adult Diabetes mellitus Diabetes Mellitus, Type 1 - physiopathology Diabetes Mellitus, Type 1 - therapy Diabetes Mellitus, Type 2 - physiopathology Diabetes Mellitus, Type 2 - therapy Disease management Female France - epidemiology Germany - epidemiology Health Care Surveys Humans Hypoglycemia Hypoglycemia - economics Hypoglycemia - epidemiology Hypoglycemia - physiopathology Internet Male Middle Aged Productivity Quality-of-life Self Care United Kingdom - epidemiology United States - epidemiology |
| title | The impact of non-severe hypoglycemic events on daytime function and diabetes management among adults with type 1 and type 2 diabetes |
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