Evidence map›Paper›PMID 37467027›Full record

ArticleJournal of medical Internet research2023

Attitudes Toward Seeking Mental Health Services and Mobile Technology to Support the Management of Depression Among Black American Women: Cross-Sectional Survey Study.

Terika McCall, Meagan Foster, Todd A Schwartz

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Terika McCallDivision of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0002-8143-5393
Meagan FosterDivision of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0001-9730-5158
Todd A SchwartzDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-0232-2543

Funding

An Interdisciplinary Program for Advanced Training in Health Data AnalyticsT15LM012500 · NLM · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOSTAFA, JAVED · 2017 to 2021
$2.9M
Personal Health Libraries for Formerly Incarcerated IndividualsR01LM013477 · NLM · YALE UNIVERSITY · PI WANG, KAREN H · 2020 to 2023
$1.9M
NLM NIH HHS R01 LM013477NLM NIH HHS T15 LM012500
6 · The paper itself

Abstract

backgroundDepression is a common mental health condition among Black American women. Many factors may contribute to the development of depressive symptoms, such as gender and racial discrimination, financial strain, chronic health conditions, and caregiving responsibilities. Barriers such as the stigmatization of mental illness, less access to treatment, the lack of or inadequate health insurance, mistrust of providers, and limited health literacy prevent marginalized populations from seeking care. Previous literature has shown that mobile health interventions are effective and can increase access to mental health services and resources.

objectiveWe aimed to understand the attitudes and perceptions of Black women toward using mental health services and determine the acceptability and concerns of using mobile technology (ie, voice call, video call, SMS text messaging, and mobile app) to support the management of depression.

methodsWe launched a self-administered web-based questionnaire in October 2019 and closed it in January 2020. Women (aged ≥18 years) who identify as Black or African American or multiracial (defined as Black or African American and another race) were eligible to participate. The survey consisted of approximately 70 questions and included topics such as attitudes toward seeking professional psychological help, the acceptability of using a mobile phone to receive mental health care, and screening for depression.

resultsThe findings (n=395) showed that younger Black women were more likely to have greater severity of depression than their older counterparts. The results also revealed that Black women have favorable views toward seeking mental health services. Respondents were the most comfortable with the use of voice calls or video calls to communicate with a professional to receive support for managing depression in comparison with SMS text messaging or mobile apps. The results revealed that higher help-seeking propensity increased the odds of indicating agreement with the use of voice calls and video calls to communicate with a professional to receive support for managing depression by 27% and 38%, respectively. However, no statistically significant odds ratios (all P>.05) were found between help-seeking propensity and respondents' agreement to use mobile apps or SMS text messaging. Moderate to severe depression severity increased the odds of using mobile apps to communicate with a professional to receive support for managing depression by 43%; however, no statistically significant odds ratios existed for the other modalities. Privacy and confidentiality, communication issues (eg, misinterpreting text), and the impersonal feeling of communicating by mobile phone (eg, SMS text messaging) were the primary concerns.

conclusionsBlack American women, in general, have favorable views toward seeking mental health services and are comfortable with the use of mobile technology to receive support for managing depression. Future work should address the issues of access and consider the preferences and cultural appropriateness of the resources provided.

Indexed as

Black or African AmericanDepressionMental Health ServicesPatient Acceptance of Health CareTelemedicineAdultCross-Sectional StudiesFemaleHumansStereotypingSurveys and QuestionnairesAfrican Americandepressiondigital healthgender minoritymental healthmHealthmobile appsmobile healthmobile phonemobile technologytelemedicinewomen

Identifiers

PMID37467027
PMCPMC10398364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.