Evidence map›Paper›PMID 31415342›Full record

ArticleMedical care2019

Using Ancillary Sociodemographic Data to Identify Sexual Minority Adults Among Those Responding "Something Else" or "Don't Know" to Sexual Orientation Questions.

Marc N Elliott, James M Dahlhamer, Sarah MacCarthy, Megan K Beckett, Nate Orr, Paul Guerino, Denis Agniel, Catherine L Saunders, Mark A Schuster, Judy H Ng and 1 more

Open access · greenAbstract read
In one paragraph

Article in Medical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

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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

11 authors at 6 institutions in 2 countries.

Marc N ElliottRAND Corporation, Santa Monica, CA.
James M DahlhamerNational Center for Health Statistics, Centers for Disease Control and Prevention (CDC), Hyattsville, MD.
Sarah MacCarthyRAND Corporation, Santa Monica, CA.
Megan K BeckettRAND Corporation, Santa Monica, CA.
Nate OrrRAND Corporation, Santa Monica, CA.
Paul GuerinoAmerican Hospital Association, Chicago, IL.
Denis AgnielRAND Corporation, Santa Monica, CA.
Catherine L SaundersPrimary Care Unit, University of Cambridge, Cambridge, UK.
Mark A SchusterKaiser Permanente School of Medicine, Pasadena, CA.
Judy H NgNational Committee for Quality Assurance, Washington, DC.
Steven C MartinoRAND Corporation, Pittsburgh, PA.
RAND Corporation · USAmerican Hospital Association · USKaiser Permanente · USNational Center for Health Statistics · USNational Committee for Quality Assurance · USUniversity of Cambridge · GB

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundGeneral population surveys are increasingly offering broader response options for questions on sexual orientation-for example, not only gay or lesbian, but also "something else" (SE) and "don't know" (DK). However, these additional response options are potentially confusing for those who may not know what the terms mean. Researchers studying sexual orientation-based disparities face difficult methodological trade-offs regarding how best to classify respondents identifying with the SE and DK categories.

objectivesDevelop respondent-level probabilities of sexual minority orientation without excluding or misclassifying the potentially ambiguous SE and DK responses. Compare 3 increasingly inclusive analytic approaches for estimating health disparities using a single item: (a) omitting SE and DK respondents; (b) classifying SE as sexual minority and omitting DK; and (c) a new approach classifying only SE and DK respondents with >50% predicted probabilities of being sexual minorities as sexual minority. MATERIALS AND

methodsWe used the sociodemographic information and follow-up questions for SE and DK respondents in the 2013-2014 National Health Interview Survey to generate predicted probabilities of identifying as a sexual minority adult.

resultsAbout 94% of the 144 SE respondents and 20% of the 310 DK respondents were predicted to identify as a sexual minority adult, with higher probabilities for younger, wealthier, non-Hispanic white, and urban-dwelling respondents. Using a more specific definition of sexual minority orientation improved the precision of health and health care disparity estimates.

conclusionsPredicted probabilities of sexual minority orientation may be used in this and other surveys to improve representation and categorization of those who identify as a sexual minority adult.

Indexed as

AdolescentAdultAgedAged, 80 and overData CollectionFemaleHealth StatusHumansMaleMiddle AgedReproducibility of ResultsSexual and Gender MinoritiesSexual BehaviorSocioeconomic FactorsSurveys and QuestionnairesYoung Adult

Identifiers

PMID31415342
PMCPMC7644134
OpenAlexW2968434374

What OpenQuestion holds

Textmetadata
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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.