Evidence map›Paper›PMID 41768959›Full record

ArticlePerspectives on medical education2026

"The Doctor Helped Me Decide": A Linguistic Analysis of Contraceptive Shared Decision-Making Narratives in Clinical Encounters Supported by a Decision Aid Mobile Application.

Catherine T Witkop, Lauren A Maggio, Abigail Konopasky

Abstract read
In one paragraph

Article in Perspectives on medical education, 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

3 authors.

Catherine T WitkopDepartments of Gynecologic Surgery & Obstetrics and Preventive Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.ORCID https://orcid.org/0000-0001-5366-2663
Lauren A MaggioDepartment of Medical Education, University of Illinois Chicago, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-2997-6133
Abigail KonopaskyDepartment of Psychiatry, Northwell Health, Glen Oaks, NY, USA.ORCID https://orcid.org/0000-0002-3033-5552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Shared decision-making, in which a patient's values and preferences facilitate the co-construction of a clinical decision, is a key component of patient-centered care and is of pedagogical interest in medical training. Yet, barriers exist to implementation, with limited information about how patients understand and exert agency. To help educators and health professionals facilitate shared decision-making, we examined how patients narrate their agentic experiences and the roles of their physician and a decision aid mobile application (app) in contributing to agency when engaged in contraceptive clinical encounters. Methods: We conducted a qualitative study of 21 female patients, aged 17-45, who utilized a decision aid app before an encounter for contraceptive services. We conducted linguistic analysis of semi-structured interviews where patients narrated their decision-making experiences, by coding for linguistic markers of agency. Results: Patients narrated Discussion: Linguistic analysis can offer important perspectives on patient experiences. The patient, physician, and decision aid app each played roles as agents during shared decision-making. Attending to various roles of agency in clinical encounters and in educational interventions may help health professionals more effectively conduct shared decision-making.

Indexed as

Decision MakingDecision Making, SharedDecision Support TechniquesMobile ApplicationsAdolescentAdultFemaleHumansLinguisticsMiddle AgedPatient ParticipationPhysician-Patient RelationsQualitative ResearchYoung Adult

Identifiers

PMID41768959
PMCPMC12947821

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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.