Healthcare

Background/Objectives: Public healthcare workers face significant occupational stress during crisis situations, yet research on this particular population remains limited compared to other healthcare workers. The aim of this study was to investigate the impact of the COVID-19 pandemic on distress levels and the sense of coherence among public health workers by integrating psychological assessments with physiological markers of stress to identify protective factors against pandemic-related occupational stress. Methods: This longitudinal study was conducted at the Teaching Public Health Institute of Split and Dalmatia County from July 2021 to February 2022 at two time points: the latency phase (between COVID-19 waves) and hyperarousal phase (during an active wave). Fifty-four public health workers participated in the study. There were three questionnaires assessing psychological distress: Kessler Psychological Distress Scale, Impact of Events Scale—Revised and Sense of Coherence Scale-29. Salivary and blood samples were collected at both time points to measure cortisol levels, cortisol awakening response, and interleukin-6 concentrations. Results: The cortisol area under the curve with respect to ground (AUCg) was significantly elevated during the stress phase compared to the latency phase (234.8 vs. 201.8; p = 0.023), indicating heightened physiological stress responses. Epidemiologists demonstrated significantly lower sense of coherence scores compared to non-epidemiologists (117.9 ± 9.1 vs. 125.6 ± 10.5; p = 0.029). A lower sense of coherence was significantly associated with higher psychological distress and post-traumatic stress symptoms. Multiple linear regression analysis revealed that sense of coherence and interleukin-6 levels were significant independent predictors of cortisol changes. Conclusions: The findings demonstrate that public health workers experience measurable physiological stress responses during pandemic peaks, with sense of coherence emerging as a protective psychological factor. Interventions targeting sense of coherence and organizational support may possibly enhance resilience and reduce mental health morbidity in this vulnerable workforce during crisis situations.

For individuals with mental illness who experience multidimensional marginalization, the risks of encountering discrimination and receiving inadequate care are compounded. Artificial intelligence (AI) systems have propelled the provision of mental healthcare through the creation of digital mental health applications (DMHAs). DMHAs can be trained to identify specific markers of distress and resilience by incorporating community knowledge in machine learning algorithms. However, DMHAs that use rule-based systems and large language models (LLMs) may generate algorithmic bias. At-risk populations face challenges in accessing culturally and linguistically competent care, often exacerbating existing inequities. Creating equitable solutions in digital mental health requires AI training models that adequately represent the complex realities of marginalized people. This narrative review analyzes the current literature on digital mental health through an intersectional framework. Using an intersectional framework considers the nuanced experiences of individuals whose identities lie at the intersection of multiple stigmatized social groups. By assessing the disproportionate mental health challenges faced by these individuals, we highlight several culturally responsive strategies to improve community outcomes. Culturally responsive strategies include digital mental health technologies that incorporate the lived experience of individuals with intersecting identities while reducing the incidence of bias, harm, and exclusion.

Background: Health education is a vital component of preventative care; however, rural Filipino adults often face structural, linguistic, and access barriers to obtaining reliable health information. Designing equitable and culturally relevant health education programs requires understanding which sources are most significant and how context affects them. Objective: To identify preferred sources of health education among adults in rural Philippine communities and investigate the contextual factors that influence these preferences. Methods: A cross-sectional mixed-methods study included 1203 adults from disadvantaged Luzon and Visayas barangays. Participants completed a self-administered survey on the importance of neighborhood health fairs, native-language instructional tools, and social media. Descriptive statistics (mean ± standard deviation) were used to aggregate importance ratings, and exploratory comparisons were made using paired and independent-samples t-tests. A subsample of 60 semi-structured interviews was analyzed using thematic analysis to interpret qualitative data. Results: Community health fairs were identified as the primary source of health education, with a mean rating of 8.5 ± 1.6, followed by native-language educational materials, which received a mean rating of 5.5 ± 2.4. In contrast, social media was rated the lowest, with a mean of 3.5 ± 2.3. Preference patterns were consistent across regions and sociodemographic groups, with only slight variation in rating magnitudes. Qualitative analysis revealed four themes influencing source preferences: accessibility and proximity, cultural and linguistic relevance, confidence in local health providers, and structural obstacles to digital access. Conclusions: In rural Philippine communities, intimacy, confidence, and cultural congruence influence health education preferences more than online platforms do. Strengthening community-based, locally integrated health education strategies may enhance the reach and contextual relevance of preventive health communication in underserved settings.