Evidence map›Paper›PMID 23412964›Full record

ArticlePatient preference and adherence2013

Nominal group technique to select attributes for discrete choice experiments: an example for drug treatment choice in osteoporosis.

Mickael Hiligsmann, Caroline van Durme, Piet Geusens, Benedict Gc Dellaert, Carmen D Dirksen, Trudy van der Weijden, Jean-Yves Reginster, Annelies Boonen

Abstract read
In one paragraph

Article in Patient preference and adherence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
–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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. The IMPROV Project: Protocol for Using a Modified Nominal Group Technique to Prioritise Oral Health Promotion Strategies With the Karen Refugee Community in Victoria.Health expectations : an international journal of public participation in health care and health policy · 2026
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  12. Development and refinement of patient care recommendations in brachytherapy for locally advanced cervical cancer using nominal group technique workshops.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  18. Can the General Public Be a Proxy for an "At-Risk" Group in a Patient Preference Study? A Disease Prevention Example in Rheumatoid Arthritis.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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  19. Comparing Discrete Choice Experiment with Swing Weighting to Estimate Attribute Relative Importance: A Case Study in Lung Cancer Patient Preferences.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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.

Mickael HiligsmannDepartment of Health Services Research, School for Public Health and Primary Care (CAPHRI), Maastricht University, The Netherlands.
Caroline van Durme
Piet Geusens
Benedict Gc Dellaert
Carmen D Dirksen
Trudy van der Weijden
Jean-Yves Reginster
Annelies Boonen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttribute selection represents an important step in the development of discrete-choice experiments (DCEs), but is often poorly reported. In some situations, the number of attributes identified may exceed what one may find possible to pilot in a DCE. Hence, there is a need to gain insight into methods to select attributes in order to construct the final list of attributes. This study aims to test the feasibility of using the nominal group technique (NGT) to select attributes for DCEs.

methodsPatient group discussions (4-8 participants) were convened to prioritize a list of 12 potentially important attributes for osteoporosis drug therapy. The NGT consisted of three steps: an individual ranking of the 12 attributes by importance from 1 to 12, a group discussion on each of the attributes, including a group review of the aggregate score of the initial rankings, and a second ranking task of the same attributes.

resultsTwenty-six osteoporotic patients participated in five NGT sessions. Most (80%) of the patients changed their ranking after the discussion. However, the average initial and final ranking did not differ markedly. In the final ranking, the most important medication attributes were effectiveness, side effects, and frequency and mode of administration. Some (15%) of the patients did not correctly rank from 1 to 12, and the order of attributes did play a role in the ranking.

conclusionThe NGT is feasible for selecting attributes for DCEs. Although in the context of this study, the NGT session had little impact on prioritizing attributes, this approach is rigorous, transparent, and improves the face validity of DCEs. Additional research in other contexts (different decisional problems or different diseases) is needed to determine the added value of the NGT session, to assess the optimal ranking/rating method with control of ordering effects, and to compare the attributes selected with the different approaches.

Indexed as

discrete choice experimentmedication attributesnominal group techniqueosteoporosispatient preference

Identifiers

PMID23412964
PMCPMC3572758

What OpenQuestion holds

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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.