Evidence map›Paper›PMID 34814888›Full record

ArticleBMC oral health2021

Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile.

Swaha Pattanaik, Chi Hyun Lee, Mike T John, Phonsuda Chanthavisouk, Danna Paulson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC oral health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Swaha PattanaikDepartment of Diagnostic and Biological Sciences, School of Dentistry, University of Minnesota, 515 Delaware Street Southeast, Minneapolis, MN, 55455-0348, USA. patta025@umn.edu.
Chi Hyun LeeDepartment of Biostatistics and Epidemiology, School of Public Health & Health Sciences, University of Massachusetts, Amherst, MA, USA.
Mike T JohnDepartment of Diagnostic and Biological Sciences, School of Dentistry, University of Minnesota, 515 Delaware Street Southeast, Minneapolis, MN, 55455-0348, USA.
Phonsuda ChanthavisoukDepartment of Diagnostic and Biological Sciences, School of Dentistry, University of Minnesota, 515 Delaware Street Southeast, Minneapolis, MN, 55455-0348, USA.
Danna PaulsonDepartment of Primary Dental Care, School of Dentistry, University of Minnesota, Minneapolis, MN, USA.

Funding

Development of a PROMIS measure for adult dental patientsR01DE028059 · NIDCR · UNIVERSITY OF MINNESOTA · PI JOHN, MIKE · 2019 to 2023
$3.1M
NIDCR NIH HHS R01 DE028059NIDCR NIH HHS R01DE028059
6 · The paper itself

Abstract

aimThis study aimed to investigate if in the 49-item Oral Health Impact Profile (OHIP): (i) more missing data occurred when participants answered more questions, (ii) more missing data occurred in a particular item or set of related items, and (iii) item missingness was associated with the demographic characteristics and oral health-related quality of life (OHRQoL) impairment level.

methodsWe used OHIP data from the Dimensions of OHRQoL (DOQ) project, which consolidated data from 35 individual studies. Among these studies, we analyzed OHIP data from 19 studies (4,847 surveyed individuals, of which 3,481 were completed under supervision and 1,366 were completed unsupervised) that contained some missing information. We computed descriptive statistics to investigate the OHIP missingness. We also used logistic regression analyses, with missing information as the dependent variable, and number of questions filled in (OHIP item rank) as the independent variable for samples with and without supervision. To investigate whether missing data occurs more in a particular item or set of related items we fitted regression models with individual OHIP items and the OHRQoL dimensions as indicator variables. We also investigated age, gender, and OHRQoL level as predictor variables for missing OHIP items.

resultsWe found very low levels of missingness across individual OHIP items and set of related items, and there was no particular item or set of related items that was associated with more missing data. Also, more missing data did not depend on whether the participants answered more questions. In studies without supervision, older persons and females were 5.47 and 2.66 times more likely to have missing items than younger persons and females. However, in studies with supervision, older persons, and participants with more OHRQoL impairment were 1.70 and 2.65 times more likely to have missing items.

conclusionThe study participants from general and dental patient populations did not find OHIP-49 burdensome. OHIP item missingness did not depend on a particular OHIP item or set of related items, or if the study participants responded to a greater number of OHIP items. We did not find a consistent pattern of the influence of sociodemographic and OHRQoL magnitude information on OHIP missingness. The amount of missing OHIP information was low making any potential influence likely small in magnitude.

Indexed as

Oral HealthQuality of LifeAgedAged, 80 and overFemaleHumansSurveys and QuestionnairesMissing dataOral health impact profileOral health-related quality of lifePatient-reported outcome measures

Identifiers

PMID34814888
PMCPMC8609727

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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.