Evidence map›Paper›PMID 22078302›Full record

ArticleBMC pregnancy and childbirth2011

Obstetrical outcome valuations by patients, professionals, and laypersons: differences within and between groups using three valuation methods.

Denise Bijlenga, Erwin Birnie, Ben Wj Mol, Gouke J Bonsel

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC pregnancy and childbirth, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Do we agree on health state outcomes? A review of measurement agreement between time-trade off and other utility measures.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. A descriptive review on methods to prioritize outcomes in a health care context.Health expectations : an international journal of public participation in health care and health policy · 2015
    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

4 authors at 3 institutions in 1 country.

Denise BijlengaDept, of Social Medicine, Academic Medical Centre - University of Amsterdam, The Netherlands. denise.bijlenga@gmail.com
Erwin Birnie
Ben Wj Mol
Gouke J Bonsel
University of Amsterdam · NLErasmus MC · NLErasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecision-making can be based on treatment preferences of the patient, the doctor, or by guidelines based on lay people's preferences. We compared valuations assigned by three groups: patients, obstetrical care professionals, and laypersons, for health states involving both mother and (unborn) child. Our aim was to compare the valuations of different groups using different valuation methods and complex obstetric health outcome vignettes that involve both maternal and neonatal outcomes.

methodsPatients (n = 24), professionals (n = 30), and laypersons (n = 27) valued the vignettes using three valuation methods: visual analogue scale (VAS), time trade-off (TTO), and discrete choice experimentation (DCE). Each vignette covered five health attributes: maternal health ante partum, time between diagnosis and delivery, process of delivery, maternal outcome, and neonatal outcome. We used feasibility questionnaires, Generalization theory, test-retest reliability and within-group reliability to compare the valuation patterns between groups and methods. We assessed relative weights from each valuation method to test for consistency across groups.

resultsTest-retest reliability was equal across groups, but different across methods: highest for VAS (ICC = 0.61-0.73), intermediate for TTO (ICC = 0.24-0.74) and lowest for DCE (kappa = 0.15-0.37). Within-group reliability was highest in all groups with VAS (ICC = 0.70-0.73), intermediate with DCE (kappa = 0.56-0.76) and lowest with TTO (ICC = 0.20-0.66). Effects of groups were smaller than effects of methods. Differences between groups were largest for severe health states.

conclusionBased on our results, decision making among laypersons should use TTO or DCE; patients should use VAS or TTO.

Indexed as

AttitudeAttitude of Health PersonnelDecision MakingPrenatal CareAdultFemaleHumansMaleMaternal Health ServicesMiddle AgedNetherlandsObstetric Labor ComplicationsPregnancyPregnancy OutcomeQuality of LifeReproducibility of Results

Identifiers

PMID22078302
PMCPMC3226638
OpenAlexW2130181098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.