Evidence map›Paper›PMID 25118229›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2014

Development of the PROMIS health expectancies of smoking item banks.

Maria Orlando Edelen, Joan S Tucker, William G Shadel, Brian D Stucky, Jennifer Cerully, Zhen Li, Mark Hansen, Li Cai

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Calibration of the Spanish PROMIS Smoking Item Banks.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016
    Article
  9. Article
  10. The PROMIS Smoking Initiative: initial validity evidence for six new smoking item banks.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2014
    Article
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

8 authors.

Maria Orlando EdelenRAND Health, RAND Corporation, Boston, MA; orlando@rand.org.
Joan S TuckerRAND Health, RAND Corporation, Santa Monica, CA;
William G ShadelRAND Health, RAND Corporation, Pittsburgh, PA;
Brian D StuckyRAND Health, RAND Corporation, Santa Monica, CA;
Jennifer CerullyRAND Health, RAND Corporation, Pittsburgh, PA;
Zhen LiCSE/CRESST, Graduate School of Education and Information Studies, University of California, Los Angeles, Los Angeles, CA.
Mark HansenCSE/CRESST, Graduate School of Education and Information Studies, University of California, Los Angeles, Los Angeles, CA.
Li CaiCSE/CRESST, Graduate School of Education and Information Studies, University of California, Los Angeles, Los Angeles, CA.

Funding

DEVELOPMENT AND EVALUATION OF A SMOKING MODULE FOR PROMISR01DA026943 · NIDA · RAND CORPORATION · PI EDELEN, MARIA ORLANDO · 2009 to 2013
$2.9M
Measurement of Recovery from Drug Addiction LCR01DA030466 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAI, LI · 2010 to 2012
$659k
NIDA NIH HHS R01DA026943NIDA NIH HHS R01DA030466
6 · The paper itself

Abstract

introductionSmokers' health-related outcome expectancies are associated with a number of important constructs in smoking research, yet there are no measures currently available that focus exclusively on this domain. This paper describes the development and evaluation of item banks for assessing the health expectancies of smoking.

methodsUsing data from a sample of daily (N = 4,201) and nondaily (N = 1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning analyses (according to gender, age, and race/ethnicity) to arrive at a unidimensional set of health expectancies items for daily and nondaily smokers. We also evaluated the performance of short forms (SFs) and computer adaptive tests (CATs) to efficiently assess health expectancies.

resultsA total of 24 items were included in the Health Expectancies item banks; 13 items are common across daily and nondaily smokers, 6 are unique to daily, and 5 are unique to nondaily. For both daily and nondaily smokers, the Health Expectancies item banks are unidimensional, reliable (reliability = 0.95 and 0.96, respectively), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.87). Results from simulated CATs showed that health expectancies can be assessed with good precision with an average of 5-6 items adaptively selected from the item banks.

conclusionsHealth expectancies of smoking can be assessed on the basis of these item banks via SFs, CATs, or through a tailored set of items selected for a specific research purpose.

Indexed as

Health StatusAdolescentAdultCalibrationDatabases, FactualEthnicityFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSmokingSurveys and QuestionnairesYoung Adult

Identifiers

PMID25118229
PMCPMC4189409

What OpenQuestion holds

Textmetadata
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.