Evidence map›Paper›PMID 35606163›Full record

ArticleTobacco control2023

Healthcare utilisation and expenditures attributable to current e-cigarette use among US adults.

Yingning Wang, Hai-Yen Sung, James Lightwood, Tingting Yao, Wendy B Max

Open access · greenAbstract read
In one paragraph

Article in Tobacco control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 19% of its field
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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Behavioral and Pharmacokinetic Assessment of Nicotine e-Cigarette Inhalation in Female Rats.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Observational
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

5 authors at 1 institution in 1 country.

Yingning WangInstitute for Health & Aging, University of California San Francisco, San Francisco, California, USA yingning.wang@ucsf.edu.ORCID 0000-0003-0413-1764
Hai-Yen SungInstitute for Health & Aging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-5563-7477
James LightwoodDepartment of Clinical Pharmacy, School of Pharmacy, University of California San Francisco, San Francisco, California, USA.
Tingting YaoInstitute for Health & Aging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-5741-8710
Wendy B MaxInstitute for Health & Aging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-4040-1592
University of California, San Francisco · US

Funding

PROJECT 5: IMPACT OF CHANGING TOBACCO PRODUCT USE ON HEALTHCARE COSTS FOR GENERAL AND VULNERABLE POPULATIONSU54HL147127 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2018 to 2022
$20.4M
NHLBI NIH HHS U54 HL147127
6 · The paper itself

Abstract

aimsThis study estimated annual healthcare expenditures attributable to current e-cigarette use among US adults, including current exclusive and dual/poly e-cigarette use.

methodsAnalysing the 2015-2018 National Health Interview Survey data, we estimated the impacts of e-cigarette use on healthcare utilisation among adults aged 18+ years. Healthcare utilisation outcomes were hospital nights, emergency room (ER) visits, doctor visits and home visits. Current e-cigarette use was categorised as exclusive and dual/poly e-cigarette use. The econometric model included two equations: health status as a function of e-cigarette use and other independent variables, and healthcare utilisation as a function of health status, e-cigarette use, and other independent variables. Using an 'excess utilisation' approach, we multiplied the e-cigarette-attributable fraction derived from the model by annual health expenditures to calculate healthcare expenditures attributable to current exclusive and dual/poly e-cigarette use, the sum of which were expenditures attributable to all current e-cigarette use.

resultsCurrent exclusive and dual/poly e-cigarette use, with 0.2% and 3.5% prevalence in 2015-2018, were associated with higher odds of reporting poor health status than never tobacco users. Poor health status was associated with higher odds of using the four healthcare services and a greater number of ER and doctor visits. Annual healthcare expenditures attributable to all current e-cigarette use was $15.1 billion ($2024 per user) in 2018, including $1.3 billion attributable to exclusive e-cigarette use ($1796 per user) and $13.8 billion attributable to dual/poly e-cigarette use ($2050 per user).

conclusionAdult current e-cigarette use was associated with substantial excess healthcare utilisation and expenditures.

Indexed as

Electronic Nicotine Delivery SystemsVapingAdultHealth ExpendituresHumansPatient Acceptance of Health CareSurveys and QuestionnairesUnited Stateseconomicselectronic nicotine delivery devicespublic policy

Identifiers

PMID35606163
PMCPMC11687275
OpenAlexW4281391471

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.