Perceived Benefits and Barriers of mHealth Mindfulness Use for Caregivers of Older Adults with Cognitive Impairment: A Qualitative Exploration.

OBJECTIVES: Mobile (mHealth) mindfulness-based interventions have the potential to be feasible, acceptable, effective, and scalable interventions for caregivers of people living with cognitive impairment. This qualitative study of caregivers of older adults with cognitive impairment explored caregivers' experiences using a mindfulness therapy mobile application. METHODS: Fifteen caregivers were interviewed using a semi-structured interview guide. Analysis was guided by the phenomenological approach and inductive-deductive analysis. RESULTS: Six themes were generated from the data: convenience, barriers, perceived helpfulness, useful features, suggested app improvements, and skill transfer. Caregivers reported that the app was easy to use with many perceived benefits. Caregivers also noted some barriers to using the app. CONCLUSIONS: This study revealed that self-directed mHealth delivered mindfulness therapy may be a promising intervention for the caregivers involved in the study. Having the ability to use the app anywhere and at any time was a prominent reason for continued regular use for the participants. This was especially important to some caregivers during the COVID-19 pandemic. The barriers discussed by the caregivers are important considerations for future app-based interventions for caregivers. CLINICAL IMPLICATIONS: Clinicians can consider recommending mHealth mindfulness therapy to caregivers as a tool to provide caregivers with additional support.

Food Insecurity and Mental Health Trajectories during the COVID-19 Pandemic: Longitudinal Evidence from a Nationally Representative Survey.

Food insecurity and mental disorders are pressing public health issues during COVID-19. Empirical evidence on the extent to which food insecurity affects mental health outcomes of American adults as the pandemic unfolds remains limited. Longitudinal data from the Understanding Coronavirus in America survey collected biweekly between April and December 2020 were used (N=4,068). Respondents were asked about their food insecurity experiences and stress, anxiety, and depressive symptoms. Linear mixed-effect models were estimated. Food insecurity was associated with higher levels of stress, anxiety, and depressive symptoms. Stress, anxiety, and depressive symptoms declined among food-secure U.S adults. However, mental health trajectories of respondents with various food insecurity categories remained stable or worsened over time. The mental health gap between food-secure and food-insecure groups widened over time. Food insecurity has substantial mental health implications amidst the pandemic. Screening for and addressing food insecurity may alleviate the mental health burden borne by food-insecure people.

Food Insecurity and Mental Health Trajectories During the COVID-19 Pandemic: Longitudinal Evidence

The extent to which food insecurity impacts changes in mental health outcomes over time in the context of Covid-19 remains unknown. Using longitudinal data from a nationally representative survey, the objectives of the present study were to: (1) assess the prevalence of food insecurity among U.S. adults amid the Covid-19 pandemic;and (2) investigate the relationships between food insecurity statuses and changes in mental health outcomes over time as the pandemic unfolds. Longitudinal data from the Internet-based Understanding Coronavirus in America survey collected bi-weekly between April and December 2020 were used (n=4,068, 15 repeated measures). Adult respondents (aged ≥18) were asked about their food insecurity experiences and stress/anxiety/depressive symptoms. Linear mixed-effect models examined changes in mental health outcomes over time among groups with various food insecurity statuses. Overall prevalence of food insecurity was 8%. Food insecurity was consistently associated with higher levels of stress/anxiety/depressive symptoms (p<0.001). Stress/anxiety/depressive symptoms declined over time among food-secured U.S adults. However, mental health trajectories of respondents with various food insecurity categories, including food insecurity status, persistent food insecurity, and food insecurity of higher severity and longer duration, remained stable or worsened over time. Moreover, the mental health gap between food-secured and food-unsecured participants widened over time. Food insecurity represents a pressing public health problem during the Covid-19 pandemic with substantial mental health implications. Persistent and severe food insecurity may contribute to mental health disparity in the long term. Food insecurity reduction interventions may alleviate the estimated alarming mental health burden as the pandemic unfolds.

Assessing the Care Modality Preferences and Predictors for Digital Mental Health Treatment Seekers in a Technology-Enabled Stepped Care Delivery System: Cross-sectional Study.

BACKGROUND: Access to mental health services continues to be a systemic problem in the United States and around the world owing to a variety of barriers including the limited availability of skilled providers and lack of mental health literacy among patients. Individuals seeking mental health treatment may not be aware of the multiple modalities of digital mental health care available to address their problems (eg, self-guided and group modalities, or one-to-one care with a provider). In fact, one-to-one, in-person treatment is the dominant care model with a masters- or doctoral-level trained mental health provider, and it may or may not be the appropriate or preferred level of care for an individual. Technology-enabled mental health platforms may be one way to improve access to mental health care by offering stepped care, but more research is needed to understand the care modality preferences of digital mental health care seekers because additional modalities become increasingly validated as effective treatment options. OBJECTIVE: The purpose of this study was to describe and evaluate the predictors of care modality preferences among individuals enrolled in a technology-enabled stepped mental health care platform. METHODS: This exploratory, cross-sectional study used employee data from the 2021 Modern Health database, an employer-sponsored mental health benefit that uses a technology-enabled platform to optimize digital mental health care delivery. Chi-square tests and one-way analysis of variance (ANOVA) were conducted to evaluate associations among the categorical and continuous factors of interest and the preferred care modality. Bivariate logistic regression models were constructed to estimate the odds ratios (ORs) of preferring a one-on-one versus self-guided group, or no preference for digital mental health care modalities. RESULTS: Data were analyzed for 3661 employees. The most common modality preference was one-on-one care (1613/3661, 44.06%). Approximately one-fourth of the digital mental health care seekers (881/3661, 24.06%) expressed a preference for pursuing self-guided care, and others (294/3661, 8.03%) expressed a preference for group care. The ORs indicated that individuals aged 45 years and above were significantly more likely to express a preference for self-guided care compared to individuals aged between 18 and 24 years (OR 2.47, 95% CI 1.70-3.59; P<.001). Individuals screening positive for anxiety (OR 0.73, 95% CI 0.62-0.86; P<.001) or depression (OR 0.79, 95% CI 0.66-0.95; P=.02) were more likely to prefer one-on-one care. CONCLUSIONS: Our findings elucidated that care modality preferences vary and are related to clinical severity factors and demographic variables among individuals seeking digital mental health care.