Evidence map›Paper›PMID 41412177›Full record

ArticleJournal of the American Medical Directors Association2026

Exploring Certified Nursing Assistants' Perceived Needs and Technology Access in Mental Health Self-Care Training: Findings From a Cross-Sectional Survey.

E-Shien Chang, Joanna Bryan Ringel, Sanjay Pinto, Chenjuan Ma, Faith Wiggins, Ronica Peramsetty, Tony Rosen, Madeline R Sterling

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 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

8 authors.

E-Shien ChangDivision of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, New York, USA. Electronic address: esc4003@med.cornell.edu.
Joanna Bryan RingelDivision of General Internal Medicine, Weill Cornell Medicine, New York, New York, USA.
Sanjay PintoThe Worker Institute, Cornell University ILR School, Ithaca, New York, USA; 1199 SEIU Training and Employment Funds, New York, New York, USA.
Chenjuan MaNew York University Rory Meyers College of Nursing, New York, New York, USA.
Faith Wiggins1199 SEIU Training and Employment Funds, New York, New York, USA.
Ronica PeramsettyDivision of General Internal Medicine, Weill Cornell Medicine, New York, New York, USA.
Tony RosenDepartment of Emergency Medicine, Weill Cornell Medical College/NewYork-Presbyterian Hospital, New York, New York, USA.
Madeline R SterlingDivision of General Internal Medicine, Weill Cornell Medicine, New York, New York, USA.

Funding

The Impact of Differences in Backgrounds and Life Experiences on Resident-to-Resident Aggression in Long-Term Care Residents with DementiaK01AG081540 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI E-Shien Chang · 2023 to 2026
$554k
Mentoring and Research to Help Patients with Alzheimer’s Disease and Related Dementias Experiencing Elder MistreatmentK24AG084923 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Anthony Rosen · 2025 to 2026
$426k
Racial/Ethnic Disparities in Home Health Care for Persons with Alzheimer’s Disease and Related DementiasR03AG070581 · NIA · NEW YORK UNIVERSITY · PI MA, CHENJUAN · 2021 to 2022
$291k
Doris Duke Charitable Foundation 2022053NIA NIH HHS K01 AG081540NIA NIH HHS K24 AG084923NIA NIH HHS R03 AG070581
6 · The paper itself

Abstract

objectivesThis study aimed to examine the interest of certified nursing assistants (CNAs) in self-care mental health (MH) training, the characteristics associated with this interest, and their level of technology access to participate in online training.

designWe conducted a secondary analysis of a cross-sectional telephone survey of CNAs fielded in 2020. SETTING AND

participantsA total of 195 CNAs aged 18 and older employed across 98 licensed skilled nursing facilities in New York.

methodsOur team developed survey instruments and first piloted them with direct care workers and community partners. Novel measures included CNAs' self-reported interests, perceived needs, and preferences regarding MH training and access to technology. We performed bivariate analyses to examine the association between CNAs' MH interests and their sociodemographic characteristics, health, caregiving roles and duties, and emotional well-being.

resultsMore than three-quarters of CNAs (75.4%) in our sample expressed interest in MH training. Compared with those with no interest, CNAs interested in MH training were significantly more likely to be double- or triple-duty caregivers (ie, those caring for dependent children and/or older family members) (P < .001). There was also a wide range of technology access across different devices among CNAs interested in MH training. Although most have access to devices that could enable them to receive potential MH training, 16.3% reported lacking the necessary technology in their homes to participate. CNAs who reported a lack of technology access were significantly older (P = .034), had less education (P = .031), and had more years of experience in the health care field (P = .034). CONCLUSION AND IMPLICATIONS: Most CNAs welcome MH training, although access to technology to obtain such virtual training varies. Addressing CNA MH through increased training could play a critical role in supporting their well-being and enhancing their ability to provide quality care both at work and at home. Strategies to address uptake and dissemination are urgently needed.

Indexed as

Nursing AssistantsSelf CareAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNew YorkSurveys and QuestionnairesDirect care workforceeducationlong-term caretraining

Identifiers

PMID41412177
PMCPMC12961612

What OpenQuestion holds

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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.