Evidence map›Paper›PMID 31418027›Full record

ArticleSleep2020

Economic aspects of insomnia medication treatment among Medicare beneficiaries.

Emerson M Wickwire, Aparna Vadlamani, Sarah E Tom, Abree M Johnson, Steven M Scharf, Jennifer S Albrecht

Abstract read
In one paragraph

Article in Sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. The association between sleep disorders, employment, and income among adults in the United States.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Article
  8. Article
  9. Observational
  10. Article
  11. Incremental health care utilization and expenditures for sleep disorders in the United States.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Article
  12. Article
  13. Observational
  14. Review
  15. Review
  16. Article
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Emerson M WickwireDepartment of Psychiatry, University of Maryland School of Medicine, Baltimore, MD.
Aparna VadlamaniDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
Sarah E TomDepartment of Neurology and Epidemiology, Columbia University, New York, NY.
Abree M JohnsonDepartment of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD.
Steven M ScharfSleep Disorders Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.
Jennifer S AlbrechtDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.

Funding

RESEARCH TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000262 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ANN L GRUBER-BALDINI, DENISE L ORWIG · 1998 to 2026
$8.2M
Prioritizing Quality Improvement for the Treatment of Psychiatric Disturbances Following Traumatic Brain InjuryK01HS024560 · AHRQ · UNIVERSITY OF MARYLAND BALTIMORE · PI ALBRECHT, JENNIFER S. · 2016 to 2020
$735k
AHRQ HHS K01 HS024560NIA NIH HHS T32 AG000262
6 · The paper itself

Abstract

STUDY

objectivesTo examine economic aspects of insomnia and insomnia medication treatment among a nationally representative sample of older adult Medicare beneficiaries.

methodsUsing a random 5% sample of Medicare administrative data (2006-2013), insomnia was defined using International Classification of Disease, Version 9, Clinical Modification diagnostic codes. Treatment was operationalized as one or more prescription fills for an US Food and Drug Administration (FDA)-approved insomnia medication following diagnosis, in previously untreated individuals. To evaluate the economic impact of insomnia treatment on healthcare utilization (HCU) and costs in the year following insomnia diagnosis, a difference-in-differences approach was implemented using generalized linear models.

resultsA total of 23 079 beneficiaries with insomnia (M age = 71.7 years) were included. Of these, 5154 (22%) received one or more fills for an FDA-approved insomnia medication following insomnia diagnosis. For both treated and untreated individuals, HCU and costs increased during the 12 months prior to diagnosis. Insomnia treatment was associated with significantly increased emergency department visits and prescription fills in the year following insomnia diagnosis. After accounting for pre-diagnosis differences between groups, no significant differences in pre- to post-diagnosis costs were observed between treated and untreated individuals.

conclusionsThese results advance previous research into economics of insomnia disorder by evaluating the impact of medication treatment and highlighting important differences between treated and untreated individuals. Future studies should seek to understand why some individuals diagnosed with insomnia receive treatment but others do not, to identify clinically meaningful clusters of older adults with insomnia, and to explore the economic impact of insomnia and insomnia treatment among subgroups of individuals with insomnia, such as those with cardiovascular diseases, mood disorders, and neurodegenerative disease.

Indexed as

Patient Acceptance of Health CareAgedAged, 80 and overCardiovascular DiseasesFemaleHumansMaleMedicareMiddle AgedMood DisordersNeurodegenerative DiseasesSleep Initiation and Maintenance DisordersUnited Statescostshealthcare utilizationhealth economicsinsomniaMedicareolder adultssleeptreatment

Identifiers

PMID31418027
PMCPMC6955645

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.