Economic burden of comorbid insomnia in 5 common medical disease subgroups
Approximately 85% of insomnia co-occurs with other disorders. Whereas insomnia was once considered "secondary" to these disorders, it is now widely recognized as an independent condition warranting treatment. While it is clear that insomnia can affect the course of other medical conditions...
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Veröffentlicht in: | Journal of clinical sleep medicine 2023-07, Vol.19 (7), p.1293-1302 |
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creator | Wickwire, Emerson M Juday, Timothy R Kelkar, Mona Heo, Jihaeng Margiotta, Caroline Frech, Feride H |
description | Approximately 85% of insomnia co-occurs with other disorders. Whereas insomnia was once considered "secondary" to these disorders, it is now widely recognized as an independent condition warranting treatment. While it is clear that insomnia can affect the course of other medical conditions, there is scant literature on the economic impact of comorbid insomnia among patients with common medical conditions. The aim of this study was to determine the economic burden of comorbid insomnia in 5 medical diseases commonly associated with insomnia: type 2 diabetes mellitus (T2DM), cancer undergoing treatment, menopause undergoing hormone replacement therapy, osteoporosis, and Alzheimer's disease and related dementias (ADRDs).
This retrospective cohort study used claims data from the IBM MarketScan Commercial and Medicare Supplemental Databases from January 1, 2014, through December 31, 2019. Insomnia and comorbid disease groups were defined using physician-assigned
diagnostic codes. Insomnia medication treatment was defined based on ≥1 prescription fills for the most commonly prescribed insomnia medications (zolpidem, low-dose trazodone, and benzodiazepines [as a class]). For each comorbid disease subgroup, 4 cohorts were created: (1) patients with either treated or untreated insomnia, (2) non-sleep-disordered controls, (3) patients with untreated insomnia, and (4) patients with treated insomnia.
Sample sizes for individuals with comorbid insomnia ranged from 23,168 (T2DM) to 3,015 (ADRDs). Within each disease subgroup and relative to non-sleep-disordered controls, patients with comorbid insomnia demonstrated greater adjusted health care resource utilization and costs across most points of service. Likewise, relative to individuals with untreated insomnia, those with treated insomnia generally demonstrated greater adjusted health care resource utilization and costs.
In this national analysis, both untreated comorbid insomnia and comorbid insomnia treated with commonly prescribed insomnia medications were associated with increased health care resource utilization and costs across most points of service.
Wickwire EM, Juday TR, Kelkar M, Heo J, Margiotta C, Frech FH. Economic burden of comorbid insomnia in 5 common medical disease subgroups.
. 2023;19(7):1293-1302. |
doi_str_mv | 10.5664/jcsm.10592 |
format | Article |
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This retrospective cohort study used claims data from the IBM MarketScan Commercial and Medicare Supplemental Databases from January 1, 2014, through December 31, 2019. Insomnia and comorbid disease groups were defined using physician-assigned
diagnostic codes. Insomnia medication treatment was defined based on ≥1 prescription fills for the most commonly prescribed insomnia medications (zolpidem, low-dose trazodone, and benzodiazepines [as a class]). For each comorbid disease subgroup, 4 cohorts were created: (1) patients with either treated or untreated insomnia, (2) non-sleep-disordered controls, (3) patients with untreated insomnia, and (4) patients with treated insomnia.
Sample sizes for individuals with comorbid insomnia ranged from 23,168 (T2DM) to 3,015 (ADRDs). Within each disease subgroup and relative to non-sleep-disordered controls, patients with comorbid insomnia demonstrated greater adjusted health care resource utilization and costs across most points of service. Likewise, relative to individuals with untreated insomnia, those with treated insomnia generally demonstrated greater adjusted health care resource utilization and costs.
In this national analysis, both untreated comorbid insomnia and comorbid insomnia treated with commonly prescribed insomnia medications were associated with increased health care resource utilization and costs across most points of service.
Wickwire EM, Juday TR, Kelkar M, Heo J, Margiotta C, Frech FH. Economic burden of comorbid insomnia in 5 common medical disease subgroups.
. 2023;19(7):1293-1302.</description><identifier>ISSN: 1550-9389</identifier><identifier>ISSN: 1550-9397</identifier><identifier>EISSN: 1550-9397</identifier><identifier>DOI: 10.5664/jcsm.10592</identifier><identifier>PMID: 37394794</identifier><language>eng</language><publisher>United States: American Academy of Sleep Medicine</publisher><subject>Adult ; Aged ; Alzheimer Disease - complications ; Alzheimer Disease - economics ; Alzheimer Disease - epidemiology ; Cohort Studies ; Comorbidity ; Cost of Illness ; Diabetes Mellitus, Type 2 - complications ; Diabetes Mellitus, Type 2 - economics ; Diabetes Mellitus, Type 2 - epidemiology ; Female ; Health Care Costs - statistics & numerical data ; Humans ; Male ; Menopause ; Middle Aged ; Osteoporosis - complications ; Osteoporosis - economics ; Osteoporosis - epidemiology ; Retrospective Studies ; Scientific Investigations ; Sleep Initiation and Maintenance Disorders - drug therapy ; Sleep Initiation and Maintenance Disorders - economics ; Sleep Initiation and Maintenance Disorders - epidemiology ; United States - epidemiology</subject><ispartof>Journal of clinical sleep medicine, 2023-07, Vol.19 (7), p.1293-1302</ispartof><rights>2023 American Academy of Sleep Medicine.</rights><rights>2023 American Academy of Sleep Medicine 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-a57da45d490133b07baa524822c9d34c11ed6aa64a9dd08b1bf5758997b2cb983</citedby><cites>FETCH-LOGICAL-c379t-a57da45d490133b07baa524822c9d34c11ed6aa64a9dd08b1bf5758997b2cb983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315590/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315590/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37394794$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wickwire, Emerson M</creatorcontrib><creatorcontrib>Juday, Timothy R</creatorcontrib><creatorcontrib>Kelkar, Mona</creatorcontrib><creatorcontrib>Heo, Jihaeng</creatorcontrib><creatorcontrib>Margiotta, Caroline</creatorcontrib><creatorcontrib>Frech, Feride H</creatorcontrib><title>Economic burden of comorbid insomnia in 5 common medical disease subgroups</title><title>Journal of clinical sleep medicine</title><addtitle>J Clin Sleep Med</addtitle><description>Approximately 85% of insomnia co-occurs with other disorders. Whereas insomnia was once considered "secondary" to these disorders, it is now widely recognized as an independent condition warranting treatment. While it is clear that insomnia can affect the course of other medical conditions, there is scant literature on the economic impact of comorbid insomnia among patients with common medical conditions. The aim of this study was to determine the economic burden of comorbid insomnia in 5 medical diseases commonly associated with insomnia: type 2 diabetes mellitus (T2DM), cancer undergoing treatment, menopause undergoing hormone replacement therapy, osteoporosis, and Alzheimer's disease and related dementias (ADRDs).
This retrospective cohort study used claims data from the IBM MarketScan Commercial and Medicare Supplemental Databases from January 1, 2014, through December 31, 2019. Insomnia and comorbid disease groups were defined using physician-assigned
diagnostic codes. Insomnia medication treatment was defined based on ≥1 prescription fills for the most commonly prescribed insomnia medications (zolpidem, low-dose trazodone, and benzodiazepines [as a class]). For each comorbid disease subgroup, 4 cohorts were created: (1) patients with either treated or untreated insomnia, (2) non-sleep-disordered controls, (3) patients with untreated insomnia, and (4) patients with treated insomnia.
Sample sizes for individuals with comorbid insomnia ranged from 23,168 (T2DM) to 3,015 (ADRDs). Within each disease subgroup and relative to non-sleep-disordered controls, patients with comorbid insomnia demonstrated greater adjusted health care resource utilization and costs across most points of service. Likewise, relative to individuals with untreated insomnia, those with treated insomnia generally demonstrated greater adjusted health care resource utilization and costs.
In this national analysis, both untreated comorbid insomnia and comorbid insomnia treated with commonly prescribed insomnia medications were associated with increased health care resource utilization and costs across most points of service.
Wickwire EM, Juday TR, Kelkar M, Heo J, Margiotta C, Frech FH. Economic burden of comorbid insomnia in 5 common medical disease subgroups.
. 2023;19(7):1293-1302.</description><subject>Adult</subject><subject>Aged</subject><subject>Alzheimer Disease - complications</subject><subject>Alzheimer Disease - economics</subject><subject>Alzheimer Disease - epidemiology</subject><subject>Cohort Studies</subject><subject>Comorbidity</subject><subject>Cost of Illness</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetes Mellitus, Type 2 - economics</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Female</subject><subject>Health Care Costs - statistics & numerical data</subject><subject>Humans</subject><subject>Male</subject><subject>Menopause</subject><subject>Middle Aged</subject><subject>Osteoporosis - complications</subject><subject>Osteoporosis - economics</subject><subject>Osteoporosis - epidemiology</subject><subject>Retrospective Studies</subject><subject>Scientific Investigations</subject><subject>Sleep Initiation and Maintenance Disorders - drug therapy</subject><subject>Sleep Initiation and Maintenance Disorders - economics</subject><subject>Sleep Initiation and Maintenance Disorders - epidemiology</subject><subject>United States - epidemiology</subject><issn>1550-9389</issn><issn>1550-9397</issn><issn>1550-9397</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkFtLAzEQhYMotlZf_AGSRxFWk02y2TyJlHqj4Is-h9y2puwmNekK_nu3thaFgRlmDmcOHwDnGF2zqqI3S5O7a4yYKA_AGDOGCkEEP9zPtRiBk5yXCNGScXYMRoQTQbmgY_A8MzHEzhuo-2RdgLGBJnYxaW-hDzl2wathgGyz7mKAnbPeqBZan53KDuZeL1LsV_kUHDWqze5s1yfg7X72On0s5i8PT9O7eWEIF-tCMW4VZZYKhAnRiGulWEnrsjTCEmowdrZSqqJKWItqjXUzhK6F4Lo0WtRkAm63vqteD2GMC-ukWrlKvlPpS0bl5f9L8O9yET8lRmQgItDgcLlzSPGjd3ktO5-Na1sVXOyzLGsylKgxHaRXW6lJMefkmv0fjOSGvtzQlz_0B_HF32R76S9u8g0WIYGt</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Wickwire, Emerson M</creator><creator>Juday, Timothy R</creator><creator>Kelkar, Mona</creator><creator>Heo, Jihaeng</creator><creator>Margiotta, Caroline</creator><creator>Frech, Feride H</creator><general>American Academy of Sleep Medicine</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><scope>5PM</scope></search><sort><creationdate>20230701</creationdate><title>Economic burden of comorbid insomnia in 5 common medical disease subgroups</title><author>Wickwire, Emerson M ; Juday, Timothy R ; Kelkar, Mona ; Heo, Jihaeng ; Margiotta, Caroline ; Frech, Feride H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-a57da45d490133b07baa524822c9d34c11ed6aa64a9dd08b1bf5758997b2cb983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Alzheimer Disease - complications</topic><topic>Alzheimer Disease - economics</topic><topic>Alzheimer Disease - epidemiology</topic><topic>Cohort Studies</topic><topic>Comorbidity</topic><topic>Cost of Illness</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetes Mellitus, Type 2 - economics</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Female</topic><topic>Health Care Costs - statistics & numerical data</topic><topic>Humans</topic><topic>Male</topic><topic>Menopause</topic><topic>Middle Aged</topic><topic>Osteoporosis - complications</topic><topic>Osteoporosis - economics</topic><topic>Osteoporosis - epidemiology</topic><topic>Retrospective Studies</topic><topic>Scientific Investigations</topic><topic>Sleep Initiation and Maintenance Disorders - drug therapy</topic><topic>Sleep Initiation and Maintenance Disorders - economics</topic><topic>Sleep Initiation and Maintenance Disorders - epidemiology</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wickwire, Emerson M</creatorcontrib><creatorcontrib>Juday, Timothy R</creatorcontrib><creatorcontrib>Kelkar, Mona</creatorcontrib><creatorcontrib>Heo, Jihaeng</creatorcontrib><creatorcontrib>Margiotta, Caroline</creatorcontrib><creatorcontrib>Frech, Feride H</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical sleep medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wickwire, Emerson M</au><au>Juday, Timothy R</au><au>Kelkar, Mona</au><au>Heo, Jihaeng</au><au>Margiotta, Caroline</au><au>Frech, Feride H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Economic burden of comorbid insomnia in 5 common medical disease subgroups</atitle><jtitle>Journal of clinical sleep medicine</jtitle><addtitle>J Clin Sleep Med</addtitle><date>2023-07-01</date><risdate>2023</risdate><volume>19</volume><issue>7</issue><spage>1293</spage><epage>1302</epage><pages>1293-1302</pages><issn>1550-9389</issn><issn>1550-9397</issn><eissn>1550-9397</eissn><abstract>Approximately 85% of insomnia co-occurs with other disorders. Whereas insomnia was once considered "secondary" to these disorders, it is now widely recognized as an independent condition warranting treatment. While it is clear that insomnia can affect the course of other medical conditions, there is scant literature on the economic impact of comorbid insomnia among patients with common medical conditions. The aim of this study was to determine the economic burden of comorbid insomnia in 5 medical diseases commonly associated with insomnia: type 2 diabetes mellitus (T2DM), cancer undergoing treatment, menopause undergoing hormone replacement therapy, osteoporosis, and Alzheimer's disease and related dementias (ADRDs).
This retrospective cohort study used claims data from the IBM MarketScan Commercial and Medicare Supplemental Databases from January 1, 2014, through December 31, 2019. Insomnia and comorbid disease groups were defined using physician-assigned
diagnostic codes. Insomnia medication treatment was defined based on ≥1 prescription fills for the most commonly prescribed insomnia medications (zolpidem, low-dose trazodone, and benzodiazepines [as a class]). For each comorbid disease subgroup, 4 cohorts were created: (1) patients with either treated or untreated insomnia, (2) non-sleep-disordered controls, (3) patients with untreated insomnia, and (4) patients with treated insomnia.
Sample sizes for individuals with comorbid insomnia ranged from 23,168 (T2DM) to 3,015 (ADRDs). Within each disease subgroup and relative to non-sleep-disordered controls, patients with comorbid insomnia demonstrated greater adjusted health care resource utilization and costs across most points of service. Likewise, relative to individuals with untreated insomnia, those with treated insomnia generally demonstrated greater adjusted health care resource utilization and costs.
In this national analysis, both untreated comorbid insomnia and comorbid insomnia treated with commonly prescribed insomnia medications were associated with increased health care resource utilization and costs across most points of service.
Wickwire EM, Juday TR, Kelkar M, Heo J, Margiotta C, Frech FH. Economic burden of comorbid insomnia in 5 common medical disease subgroups.
. 2023;19(7):1293-1302.</abstract><cop>United States</cop><pub>American Academy of Sleep Medicine</pub><pmid>37394794</pmid><doi>10.5664/jcsm.10592</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Alzheimer Disease - complications Alzheimer Disease - economics Alzheimer Disease - epidemiology Cohort Studies Comorbidity Cost of Illness Diabetes Mellitus, Type 2 - complications Diabetes Mellitus, Type 2 - economics Diabetes Mellitus, Type 2 - epidemiology Female Health Care Costs - statistics & numerical data Humans Male Menopause Middle Aged Osteoporosis - complications Osteoporosis - economics Osteoporosis - epidemiology Retrospective Studies Scientific Investigations Sleep Initiation and Maintenance Disorders - drug therapy Sleep Initiation and Maintenance Disorders - economics Sleep Initiation and Maintenance Disorders - epidemiology United States - epidemiology |
title | Economic burden of comorbid insomnia in 5 common medical disease subgroups |
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