Evidence map›Paper›PMID 27255773›Full record

ArticleThe patient2016

How Well Can Analytic Hierarchy Process be Used to Elicit Individual Preferences? Insights from a Survey in Patients Suffering from Age-Related Macular Degeneration.

Marion Danner, Vera Vennedey, Mickaël Hiligsmann, Sascha Fauser, Christian Gross, Stephanie Stock

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In one paragraph

Article in The patient, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
12.6field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Pooled it
  2. US Retina Specialists' Preferences for Geographic Atrophy Treatment.Clinical ophthalmology (Auckland, N.Z.) · 2026
    Article
  3. US Patients' Preferences for Geographic Atrophy Treatment.Clinical ophthalmology (Auckland, N.Z.) · 2026
    Article
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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

6 authors at 2 institutions in 2 countries.

Marion DannerInstitute for Health Economics and Clinical Epidemiology, Cologne University Hospital, Gleueler Straße 176-178, 50935, Cologne, Germany. marion.danner@uk-koeln.de.
Vera VennedeyInstitute for Health Economics and Clinical Epidemiology, Cologne University Hospital, Gleueler Straße 176-178, 50935, Cologne, Germany.
Mickaël HiligsmannDepartment of Health Services Research, CAPHRI School for Primary Care and Public Health, Maastricht University, Maastricht, The Netherlands.
Sascha FauserCenter for Ophthalmology, Cologne University Hospital, Cologne, Germany.
Christian GrossInstitute for Health Economics and Clinical Epidemiology, Cologne University Hospital, Gleueler Straße 176-178, 50935, Cologne, Germany.
Stephanie StockInstitute for Health Economics and Clinical Epidemiology, Cologne University Hospital, Gleueler Straße 176-178, 50935, Cologne, Germany.
University Hospital Cologne · DEMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, we tested the feasibility of an interviewer-assisted analytic hierarchy process (AHP) in a special patient population with age-related macular degeneration (AMD).

objectivesOne aim was to generate preference weights regarding AMD treatment characteristics. A secondary aim was to explore the consistency of preference judgments and reasons for inconsistency.

methodsWe generated quantitative importance weights for decision criteria using the matrix multiplication method. A qualitative study component in the form of asking patients to think aloud throughout their judgments was implemented to facilitate understanding of quantitative findings. Consistency ratios were calculated as a measure of logical judgment performance within AHP. If consistency ratios exceeded 0.2, we explored reasons for inconsistency.

resultsWe interviewed 86 patients and generated preference weights for criteria. Patients rated the injection's effect on visual function the highest (0.44), followed by the frequency of monitoring visits (0.18), approval status (0.13), injection frequency (0.13), and side effects (0.12). Inconsistency in judgments was prevalent at the subcriteria level. Whereas much of the observed inconsistency was due to an excessive use of high/extreme value judgments, these judgments seemed to result from patients reasonably trying to highlight their strong preferences.

conclusionOur study combines quantitative with qualitative data to explore patients' preference weights and decision processes using the AHP. It suggests that the type of inconsistency observed in judgments of AMD patients mostly results from rational decision making, not from error or lack of understanding. Further research should address which type and extent of inconsistency might be acceptable in different AHP settings.

Indexed as

Decision Support TechniquesMacular DegenerationPatient PreferenceDecision MakingHumansSurveys and Questionnaires

Identifiers

PMID27255773
OpenAlexW2418760829

What Socratic 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 Socratic graph.