Use of the Spiritual Development Framework in Conducting Spirituality and Health Research with Adolescents

Spirituality is considered a universal phenomenon, but research addressing the spiritual needs of adolescents in the context of health and illness is limited. The aim of this article is to provide a description of how the spiritual development framework (SDF) was used in conducting research with adolescents. An exemplar of a qualitative descriptive study is provided to demonstrate applicability of the SDF. The SDF was used as a guiding theoretical framework in conducting research with adolescents living with sickle cell disease. The SDF is culturally applicable and methodologically appropriate. Additional research applying the SDF is warranted

Social and Psychological Factors Associated with Health Care Transition for Young Adults Living with Sickle Cell Disease

Introduction: Due to advances in disease management, mortality rates in children with sickle cell disease (SCD) have decreased. However, mortality rates for young adults (YA) increased, and understanding of social and psychological factors is critical. The aim of this study was to explore factors associated with health care transition experiences for YA with SCD. Method: This was a qualitative descriptive study. A 45-minute semistructured interview was conducted with 13 YA (M = 21.5 years, SD = 1.73). Results: Results suggest that social and psychological factors and self-management experiences influence health care transition. Eight themes emerged: “need for accessible support”; “early assistance with goal setting”; “incongruence among expectations, experiences, and preparation”; “spiritual distress”; “stigma”; “need for collaboration”; “appreciation for caring providers”; and “feeling isolated.” Discussion: Consideration of cultural contexts will guide nurses in supporting health care transition. Designing culturally relevant interventions that address unique needs for YA living with SCD is warranted

Examination of the Role of Religious and Psychosocial Factors in HIV Medication Adherence Rates

Optimal adherence to antiretroviral therapy (ART) is associated with favorable HIV outcomes, including higher CD4 cell counts, HIV virus suppression and a lower risk of HIV transmission. However, only 25% of people living with HIV/AIDS (PLWH) in the USA are virally suppressed. Sub-optimal adherence (p\u3c 0.05). Social support satisfaction was also significantly associated with ART adherence (OR = 1.52, 95% CI [1.11–2.08], p \u3c 0.05) and energy/fatigue/vitality (OR = 1.03, 95% CI [1.00–1.05], p \u3c 0.05)

Sexual Risk Behaviors of African American Adolescent Females: The Role of Cognitive and Religious Factors

Introduction: African American (AA) high school-age girls are more likely to have had sex before age 13 years and have higher rates of all sexually transmitted infections. Cognition and religion/spirituality are associated with adolescent sexuality, therefore, the purpose of this study was to identify cognitive and religious substrates of AA girls’ risky sexual behaviors. Method: A descriptive study was conducted with 65 AA girls aged 15 to 20 years using computerized questionnaires and cognitive function tasks. Results: Average age was 17.8 ± 1.9 years and average sexual initiation age was 15.5 ± 2.6 years. Overall, 57.6% reported a history of vaginal sex. Girls who reported low/moderate religious importance were significantly younger at vaginal sex initiation than girls for whom religion was very/extremely important. Girls who attended church infrequently reported significantly more sexual partners. Implications: Health care providers can use these findings to deliver culturally congruent health care by assessing and addressing these psychosocial factors in this population

Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in south Florida

IntroductionThe SARS-CoV-2 (COVID-19) pandemic has created substantial health and economic burdens in the US and worldwide. As new variants continuously emerge, predicting critical clinical events in the context of relevant individual risks is a promising option for reducing the overall burden of COVID-19. This study aims to train an AI-driven decision support system that helps build a model to understand the most important features that predict the “mortality” of patients hospitalized with COVID-19.MethodsWe conducted a retrospective analysis of “5,371” patients hospitalized for COVID-19-related symptoms from the South Florida Memorial Health Care System between March 14th, 2020, and January 16th, 2021. A data set comprising patients’ sociodemographic characteristics, pre-existing health information, and medication was analyzed. We trained Random Forest classifier to predict “mortality” for patients hospitalized with COVID-19.ResultsBased on the interpretability of the model, age emerged as the primary predictor of “mortality”, followed by diarrhea, diabetes, hypertension, BMI, early stages of kidney disease, smoking status, sex, pneumonia, and race in descending order of importance. Notably, individuals aged over 65 years (referred to as “older adults”), males, Whites, Hispanics, and current smokers were identified as being at higher risk of death. Additionally, BMI, specifically in the overweight and obese categories, significantly predicted “mortality”. These findings indicated that the model effectively learned from various categories, such as patients' sociodemographic characteristics, pre-hospital comorbidities, and medications, with a predominant focus on characterizing pre-hospital comorbidities. Consequently, the model demonstrated the ability to predict “mortality” with transparency and reliability.ConclusionAI can potentially provide healthcare workers with the ability to stratify patients and streamline optimal care solutions when time is of the essence and resources are limited. This work sets the platform for future work that forecasts patient responses to treatments at various levels of disease severity and assesses health disparities and patient conditions that promote improved health care in a broader context. This study contributed to one of the first predictive analyses applying AI/ML techniques to COVID-19 data using a vast sample from South Florida

The Impact of Invisibility on the Health of Migrant Farmworkers in the Southeastern United States: A Case Study from Georgia

Migrant farmworkers represent one of the most marginalized and underserved populations in the United States. Acculturation theory cannot be easily mapped onto the transnational experience of migrant farmworkers, who navigate multiple physical and cultural spaces yearly, and who are not recognized by the state they constitute, “the Citizen’s Other” (Kerber, 2009). This paper utilizes narrative analysis of a case study to illustrate, through the relationship of the narrator to migrant farmworkers and years of participant observation by the coauthors, how isolation from family and community, as well as invisibility within institutions, affect the health and well-being of migrant farmworkers in southeastern Georgia. Invisibility of farmworkers within institutions, such as health care, the educational system, social services, domestic violence shelters, and churches contribute to illness among farmworkers. The dominant American discourse surrounding immigration policy addresses the strain immigrants put on the social systems, educational system, and the health care system. Nurses who work with farmworkers are well positioned to bring the subjective experience of farmworkers to light, especially for those engaged with socially just policies. Those who contribute to the abundant agricultural produce that feeds Americans deserve the recognition upon which social integration depends

Correlates and Predictors of Medication Adherence in Outpatients Living with HIV/AIDS

Antiretroviral therapy (ART) is important in HIV outcomes and HIV prevention. However, ART adherence remains suboptimal in people living with HIV/AIDS (PLWH). This study examined associations among ART adherence and demographic, psychosocial, and religious factors in a sample of 292 PLWH. Average age of participants was 45.1 ± 7.8 years and they had been living with HIV for 10.8 ± 7.0 years, on average. Mean ART adherence scores differed significantly between participants based on age (F = 5.861, p = .016), depressive symptom status (F = 17.61, p \u3c .0001), religious attendance (F = 5.901, p = .016), and prayer (F = 5.791, p = .017). Only age, social support, prayer, and negative religious coping were significant predictors of ART adherence, in a multivariate regression model. Higher ART adherence scores were significantly associated with being older than 50 years (β = .17, p = .014), greater social support satisfaction (β = .15, p = .031), praying daily or more (β = .17, p = .021) and lower negative religious coping scores (β = −.18, p = .014). Clinicians should assess/address these factors during ART treatment counseling