Mental Health Help-Seeking Experiences of Hispanic Women in the United States: Results from a Qualitative Interpretive Meta-Synthesis

Yang

Womens Health (Lond Engl)

et al. 2022

Introduction: Midlife climacteric women with metabolic syndrome are at high risk for experiencing a complex array of symptoms. The aim of this scoping review was to identify the prevalence, types, and clustering of symptoms in midlife climacteric women with metabolic syndrome and to compare them to symptoms of midlife climacteric women without metabolic syndrome. Methods: A three-step search method was used according to Joanna Briggs Institute methodology. Eligibility criteria of participants, concept, context, and types of evidence were selected in alignment with the review questions. Seven databases (PubMed, Embase, Web of Science, CINAHL, PsycINFO, ProQuest Dissertation & Theses, OpenGrey) were searched using search terms with no language or date restrictions. Title and abstract screening, full-text review, data charting, and data synthesis were conducted by two independent researchers based on the eligibility criteria. Results: The search yielded 3813 studies after removing duplicates with 48 full-text papers assessed for eligibility. A total of eight studies were reviewed and analyzed which reported the prevalence and types of symptoms individually or grouped based on each body system. Midlife climacteric women with metabolic syndrome experience a wide prevalence of individual and grouped urogenital, vasomotor, psychological, sleep, and somatic symptoms. Mental exhaustion had the highest prevalence (84.4%) among the individual symptoms, and urogenital symptoms had the highest prevalence (81.3%) among the grouped symptoms. There were mixed findings on symptoms between midlife climacteric women with metabolic syndrome and without metabolic syndrome. No studies focused on symptom clusters. Conclusion: Our findings will serve as a knowledge basis for understanding symptoms experienced by midlife climacteric women with metabolic syndrome. This new knowledge can assist clinicians in effectively assessing and managing their symptoms in clinical settings and inform future development of targeted symptom management interventions.

Section: Discussionmentioning

confidence: 99%

Are there differences in symptoms experienced by midlife climacteric women with and without metabolic syndrome? A scoping review

Yang

Womens Health (Lond Engl)

et al. 2022

Womens Health (Lond Engl)

“…Pregnant people with lower incomes may not be able to afford care because of lack of insurance coverage, less paid leave from work, childcare coverage, or transportation costs. 17 , 23 – 26 Race and ethnicity are associated with social barriers such as lack of trust in the healthcare system, lack of culturally sensitive care, or cultural beliefs that stigmatize help-seeking. 19 , 20 , 23 – 28 Education and mental health literacy are also germane.…”

Section: Introductionmentioning

confidence: 99%

“… 17 , 23 – 26 Race and ethnicity are associated with social barriers such as lack of trust in the healthcare system, lack of culturally sensitive care, or cultural beliefs that stigmatize help-seeking. 19 , 20 , 23 – 28 Education and mental health literacy are also germane. If a person or a family member has sought help in the past, they usually have a better understanding of symptoms and the benefits of mental health services and how to access them.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using machine learning to predict help-seeking among 2016–2018 Pregnancy Risk Assessment Monitoring System participants with postpartum depression symptoms

Fischbein

Cook

Baughman

et al. 2022

Background: Despite the importance of early identification and treatment, postpartum depression often remains largely undiagnosed with unreported symptoms. While research has identified several factors as prompting help-seeking for postpartum depression symptoms, no research has examined help-seeking for postpartum depression using data from a multi-state/jurisdictional survey analyzed with machine learning techniques. Objectives: This study examines help-seeking among people with postpartum depression symptoms using and demonstrating the utility of machine learning techniques. Methods: Data from the 2016–2018 Pregnancy Risk Assessment Monitoring System, a cross-sectional survey matched with birth certificate data, were used. Six US states/jurisdictions included the outcome help-seeking for postpartum depression symptoms and were used in the analysis. An ensemble method, “Super Learner,” was used to identify the best combination of algorithms and most important variables that predict help-seeking among 1920 recently pregnant people who screen positive for postpartum depression symptoms. Results: The Super Learner predicted well and had an area under the receiver operating curve of 87.95%. It outperformed the highest weighted algorithms which were conditional random forest and stochastic gradient boosting. The following variables were consistently among the top 10 most important variables across the algorithms for predicting increased help-seeking: participants who reported having been diagnosed with postpartum depression, having depression during pregnancy, living in particular US states, being a White compared to Black or Asian American individual, and having a higher maternal body mass index at the time of the survey. Conclusion: These results show the utility of using ensemble machine learning techniques to examine complex topics like help-seeking. Healthcare providers should consider the factors identified in this study when screening and conducting outreach and follow-up for postpartum depression symptoms.

“…The prevalence of depression is higher among Latina women than among Latino men in the United States [4,5], as it is globally [6]. Compounding the problem, Latina women have been reluctant to seek care [7] due to fear, guilt, shame, privacy concerns, lack of family support, or distrust of professionals [8]. This includes English-speaking Latinx men and women [9], who have reported higher levels of self-stigma and have more often said they would conceal a potential mental health problem compared with non-Latinx White individuals [10].…”

Section: Introductionmentioning

confidence: 99%

Participant Engagement in a Transmedia Storytelling Web-Based App Intervention for Mental Health of Latina Women: Qualitative Analysis

Soderlund¹,

Martinez-Hollingsworth²,

Heilemann³

2021

JMIR Ment Health

Background Stigma, fear, and lack of knowledge regarding treatment options or where to get help create delays for Latina women in accessing needed mental health help. Story-based media interventions hold appeal for Latina women. Thus, we drew upon the Social Cognitive Theory by Bandura to create an evidence-based, transmedia storytelling web-based app for mental health called Catalina: Confronting My Emotions to connect Latina women to a curated set of mental health resources. Understanding how Latina women perceive various aspects of the web-based app will help design future expansions. Objective A previously published analysis led to the development of a category on how participants related to the lead character (Catalina) in the story line of the web-based app as a real person. However, the purpose of this analysis was to gain an understanding of participants’ experiences with the extension of the dramatic story line of the web-based app beyond Catalina to a Latina nurse-therapist character named Veronica, who was featured prominently in the app’s interactive content and bonus videos. Methods Qualitative analyses were conducted with interview data from a community-based sample of 28 English-speaking Latina women aged between 21 and 50 years who scored above the threshold for anxiety (Generalized Anxiety Disorder-7) and/or depression (Patient Health Questionnaire-9) but were not suicidal at screening. Data were collected 72 hours after participants engaged with our transmedia storytelling web-based app for mental health. Grounded theory methodology guided the analysis and interpretation of data that had been collected telephonically, recorded, and transcribed with identifiers removed. Analyses included initial and focused coding using process codes (gerund form of verbs in codes focused on action), informed by symbolic interactionism, and the development of categories with properties through constant comparison, memo writing, and the use of charts and diagrams. Results Our participants experienced a multiphase process that was most heavily related to Veronica, the Latina nurse-therapist character in our web-based app, who led them through a process to a place of action. We conceptualized this process as moving from passive viewer to active participant of a transmedia storytelling web-based app intervention. Overall, 3 new conceptual categories provided insight into women’s experiences, including encountering a trustworthy nurse-therapist character, taking in messages that dispel old beliefs, and preparing when and how to take action. Each category has nuanced properties that reflect participants’ experiences. Conclusions Active engagement with our web-based app led our sample to successfully transition from the viewpoint of the observer to the viewpoint of the experiencer, moving from a passive position of watching to active engagement that involved imagining, thinking, reflecting, and acting. Careful development of dramatic material for health-related web-based apps using transmedia story extension and bonus videos needs to be based on input from the target group from the start of development through evaluation and testing.