Evidence map›Paper›PMID 41779118›Full record

SynthesisThe patient2026

Understanding Patient Preferences for Medication Process Attributes: A Systematic Literature Review.

Jessica Roydhouse, Glen J Henson, Nizam Abdu, Thi Thu Ngan Dinh, Thi Ly Tran, Brendan Mulhern, Julie A Campbell

Abstract readSystematic Review
In one paragraph

Synthesis in The patient, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jessica RoydhouseMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia. jessica.roydhouse@utas.edu.au.ORCID 0000-0002-8025-5841
Glen J HensonMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia.ORCID 0000-0002-1237-5710
Nizam AbduMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia.ORCID 0000-0001-5103-687X
Thi Thu Ngan DinhMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia.ORCID 0000-0003-2339-2628
Thi Ly TranMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia.ORCID 0009-0005-6945-7396
Brendan MulhernCentre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, NSW, Australia.
Julie A CampbellMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivePatient preference studies have been used to identify aspects of medical products that matter to patients. This paper sought to summarise patient preferences for treatment processes (mode and frequency).

methodsSearch strategies based on existing validated search filters were applied to databases including MEDLINE, Embase, Scopus, EconLit and Health Preference Research. Additional references were obtained by searching the reference lists of systematic reviews. English-language peer-reviewed studies involving patients that quantitatively elicited preferences and compared different modes or frequencies were eligible. Data extraction was performed by two reviewers using Covidence. As a heuristic, we considered if process attributes were ranked in the top two attributes. The Purpose, Respondents, Explanation, Findings, Significance (PREFS) checklist (0-5, higher = better) was used to evaluate study quality.

resultsData were extracted from 164 articles of an identified 16,357 (12,872 screened by title/abstract and 795 full text screened). Mean study quality was 3.48 on PREFS (standard deviation = 0.70), but patient engagement was rarely reported in studies (n = 20, 12.2%). Most studies included both mode and frequency attributes, either presented as a combined attribute (n = 65, 39.6%) or as individual separate attributes (n = 43, 26.2%). Regardless of how attributes were presented, mode/frequency attributes were infrequently in the top two attributes. In terms of level preference, when an oral mode was included as a level, the oral level was the most preferred level in nearly all studies. Patients with less severe disease or who were less experienced with treatment tended to prefer oral modes or have preferences against injection.

conclusionsMode/frequency attributes are not necessarily the most important attributes, but patients, particularly those with less treatment experience or more mild disease, may have strong preferences. Although PREFS scores indicated high study quality, future studies would benefit from deeper patient engagement. In line with ISPOR's definition, patient engagement should extend beyond participation to meaningful involvement across the research lifecycle, including opportunities for co-authorship and partnership in study design, conduct and dissemination.

Indexed as

Patient PreferenceHumansPatient Participation

Identifiers

PMID41779118
PMCPMC13287273

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.