Evidence map›Paper›PMID 42849052›Full record

ArticleJMIR mHealth and uHealth2026

Gender-Affirming Voice Training Delivered by a Novel Mobile App: Mixed Methods Study.

Isaac L Alter, Christopher P Kruglik, Sara W Albert, Rachel Coleman, Mary Pitti, Alexandra Li, Katerina Andreadis, David Bayne, Eseosa Odigie, Iyra Chandra and 4 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 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

14 authors.

Isaac L AlterWeill Cornell Medical College, Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice, 240 E 59th St, New York, NY, United States, 1 646-962-7464.ORCID http://orcid.org/0000-0002-0253-2161
Christopher P KruglikRobert Larner, M.D. College of Medicine at the University of Vermont, Burlington, VT, United States.ORCID http://orcid.org/0009-0008-6148-6194
Sara W AlbertWeill Cornell Medical College, Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice, 240 E 59th St, New York, NY, United States, 1 646-962-7464.ORCID http://orcid.org/0009-0005-7170-3074
Rachel ColemanWeill Cornell Medical College, Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice, 240 E 59th St, New York, NY, United States, 1 646-962-7464.ORCID http://orcid.org/0009-0006-4167-3430
Mary PittiDepartment of Speech-Language Pathology and Audiology, Ithaca College, Ithaca, NY, United States.ORCID http://orcid.org/0009-0007-2887-4219
Alexandra LiWeill Cornell Medical College, Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice, 240 E 59th St, New York, NY, United States, 1 646-962-7464.ORCID http://orcid.org/0009-0008-8831-7008
Katerina AndreadisDepartment of Population Health Sciences, New York University Grossman School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0001-8586-450X
David BayneDepartment of Speech-Language Pathology and Audiology, Ithaca College, Ithaca, NY, United States.ORCID http://orcid.org/0000-0003-4783-5892
Eseosa OdigieDepartment of Otolaryngology-Head and Neck Surgery, Duke University School of Medicine, Durham, NC, United States.ORCID http://orcid.org/0000-0001-7503-0982
Iyra ChandraWake Forest University School of Medicine, Winston-Salem, NC, United States.ORCID http://orcid.org/0009-0008-9370-7844
Valentina MocchettiWeill Cornell Medical College, Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice, 240 E 59th St, New York, NY, United States, 1 646-962-7464.ORCID http://orcid.org/0009-0008-8323-7068
David LiaoWeill Cornell Medical College, Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice, 240 E 59th St, New York, NY, United States, 1 646-962-7464.ORCID http://orcid.org/0000-0003-3873-9014
Keith A ChadwickDepartment of Surgery, Division of Otolaryngology-Head & Neck Surgery, Stony Brook University, Stony Brook, NY, United States.ORCID http://orcid.org/0000-0002-6144-0259
Anaïs RameauWeill Cornell Medical College, Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice, 240 E 59th St, New York, NY, United States, 1 646-962-7464.ORCID http://orcid.org/0000-0003-1543-2634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gender-affirming voice training (GAVT) has reduced gender incongruence for transgender and gender-nonconforming (TGNC) individuals, but remains limited by cost and scarcity of specialized providers. Mobile health (mHealth) is a bridge to these access gaps; yet, few high-quality, clinically informed mHealth apps exist within voice clinical sciences. Objective: We previously created a free mobile app (Attuned; Weill Cornell Medicine and Ithaca College) to deliver clinically informed GAVT through structured instructional videos narrated by a speech-language pathologist and a laryngologist, practice exercises, and pitch-tracking tools, developed with a community advisory board of TGNC individuals. This mixed methods study aimed to assess the app's usability and users' impressions. Methods: Adult TGNC individuals were recruited nationwide via word of mouth and advertising through lesbian, gay, bisexual, transgender, queer, or questioning (LGBTQ+) community organizations. Participants completed a baseline semistructured interview and demographics survey, used Attuned for one week, and completed a second interview regarding their impressions. Interviews were transcribed verbatim and coded inductively in MaxQDA (VERBI Software GmbH). Three authors independently generated codebooks that were reconciled via consensus, then 2 authors applied the finalized codebooks to the remaining transcripts (preconsensus agreement 95.7%; Cohen κ=0.86). Attuned was also evaluated by 2 reviewers experienced in mHealth evaluation and not involved in the app development, using the Mobile App Rating Scale (MARS), the Intercontinental Medical Statistics (IMS) Institute for Health Care Informatics Functionality Scores, the Centers for Disease Control (CDC) Modified Clear Communication Index, the Institute of Medicine (IOM) strategies for creating health-literate mHealth apps, the Patient Education Materials Assessment Tool (PEMAT), and the System Usability Scale (SUS). Readability of the didactic scripts was also assessed with 6 validated formulas. Results: Eighteen TGNC individuals completed the study (median age 27.5 years, age range 19-50 years). Ten identified as women and/or transgender women, 6 as nonbinary or gender-nonconforming, and 2 as men or transgender men. Eight themes were identified. Participants identified voice as a crucial determinant of others' perceptions of their gender, with voice-related dysphoria common. Cost and difficulty finding providers were primary barriers to GAVT, and existing free resources were viewed as unstructured and untrustworthy. Postuse impressions were largely positive, particularly regarding the structured curriculum, pitch tracker, convenience, and free access, though lack of individualized feedback was a key limitation. Mean scores were 4.21/5 (SD 0.53) for MARS; IMS functionality, 6.5/11 (SD 0.7); CDC index, 82.5% (SD 24.7%); IOM strategies, 28.5/33 (SD 2.1); and PEMAT understandability and actionability 100%, and SUS 92.5/100 (SD 10.6), with most readability formulas at or below an eighth-grade level. Conclusions: Voice is central to gender identity for TGNC individuals; yet, structured and affordable GAVT remains largely inaccessible. Attuned was positively received by this initial cohort and scored highly on usability, health literacy, and readability, though findings are limited by potential acquiescence bias and the raters' authorship roles.

Indexed as

Mobile ApplicationsTransgender PersonsVoice TrainingAdultFemaleGender-Nonconforming PersonsHumansMaleMiddle AgedQualitative ResearchSurveys and Questionnairesgender-affirmingmixed methodsmobile appsqualitative researchtransgender personsvoice training

Identifiers

PMID42849052
PMCPMC13649169

What OpenQuestion holds

Textmetadata
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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.