The Impact of Mental Wellness on HIV Self-Management

Use of the Self- and Family Management Framework in quantitative studies

BACKGROUND

The Self- and Family Management Framework (SFMF) identifies factors and outcomes of patient and family management of chronic illness. In a previous citation analysis, we reported the frequency and nature of use of the SFMF.

PURPOSE

We conducted a sub-analysis of quantitative articles in the citation analysis to examine testing of relationships depicted in the SFMF.

METHODS

We analyzed study purposes, independent and dependent variables, study implications, and text that referred to the SFMF in 40 articles.

FINDINGS

The SFMF has been used largely to explore factors affecting SFM behaviors, focusing on patient versus family self-management. Independent variables included all categories of facilitators/barriers specified in the SFMF. Dependent variables included all SFMF components (Facilitators/Barriers, Processes, Proximal and Distal Outcomes). Racial/ethnic diversity was limited among study participants. Study implications pertained mostly to psychosocial outcomes. Most studies referred to the SFMF generally.

DISCUSSION

Findings will contribute to revision of the SFMF.

The Impact of COVID-19 on HIV Self-Management, Affective Symptoms, and Stress in People Living with HIV in the United States

COVID-19 has the potential to detrimentally impact HIV self-management in people living with HIV (PLHIV). Effective HIV-self management is critically important in managing symptoms as well as viral suppression. We examined the impact of the COVID-19 pandemic on HIV self-management, social support, social isolation, depressive symptoms, anxiety, and stress in PLHIV. 85 PLHIV were recruited from social media sites and completed an online survey. Data were collected between April 23 and 30, 2020. Participants reported increases in social isolation, depressive symptoms, anxiety, and stress and decreases in social support and overall HIV self-management from pre- to during the pandemic. Additionally, the Social Support domain and Chronic Nature of HIV domain of the HIV Self-Management Scale were also decreased from pre- to during the pandemic. The ability for PLHIV to maintain HIV self-management during this time is essential and HIV care providers should have plans in place to provide support.

Use of the self- and family management framework and implications for further development

BACKGROUND

The Self- and Family Management Framework (SFMF) was created in 2006 and revised in 2015 to guide research on self- and family management of chronic conditions. There has been no review of use of the SFMF.

PURPOSE

We reviewed articles citing the SFMF to identify the frequency and nature of use.

METHOD

We conducted a citation analysis, searching Web of Science, Scopus, and Google Scholar databases and extracted key data from identified articles.

FINDINGS

Of 126 articles, 84(66%) cited the 2006 SFMF, 37(29%) cited the 2015 SFMF, and 6(5%) cited both. The SFMF was used most to inform study design. Users noted strengths (e.g., considers family context) and limitations (e.g., non-specification of patient- family caregiver synergies) of the framework.

DISCUSSION

The SFMF has been used broadly to guide research on self- and family management of chronic conditions. Findings will inform development of a third version of the SFMF.

Considering the Impact of Aging When Caring For and Treating Adults With HIV

The current study investigates how age impacts factors associated with successfully managing HIV. One hundred thirty adults with HIV were recruited for the study. Participants were divided into two groups, those age ≥50 and those age <50. Cognitive impairment and depressive symptoms were seen at higher rates in older adults, and the severity of depressive symptoms was also higher in older adults. Depressive symptoms impacted cognitive function to a higher degree in older adults compared to younger adults (r = -0.293, p = 0.018 vs. r = -0.109, p = 0.387). Polypharmacy was a greater concern in older adults, with 88% having polypharmacy compared with 60% of younger adults. Similarly, the prevalence of comorbidities was more than double in older adults compared to younger adults. Factors associated with aging complicate management of HIV. Gaining insight into the challenges of caring for this population will furnish nurses with information necessary to provide the best possible care for this growing population. [Journal of Gerontological Nursing, 46(4), 31-40.].

The Effects of Perceived Stress and Cortisol Concentration on Antiretroviral Adherence When Mediated by Psychological Flexibility Among Southern Black Men Living with HIV

This pilot study investigates the correlation between psychological stress and antiretroviral therapy (ART) adherence and plasma HIV RNA (viral load) as mediated by psychological flexibility among Black men in the south. Data were collected from 48 HIV-positive, low income Black men. Results indicate a strong positive correlation between perceived stress and psychological inflexibility (adjusted for age and income r_s = 0.67; p < 0.001), a negative correlation between psychological inflexibility and ART adherence (adjusted r_s = - 0.32; p = 0.03), a negative correlation between perceived stress and ART adherence (adjusted r_s = - 0.45; p = 0.006), and a negative correlation between ART adherence and viral load (adjusted r_s = - 0.37; p = 0.04). Our findings suggest stress decreases adherence to ART and viral suppression among Black men living with HIV. However, psychological flexibility did not mediate the relationship between stress and treatment adherence. Hair cortisol concentrations were high (mean of 34.2 pg/mg), but uncorrelated with adherence.

Association between Depressive State and Lifestyle Factors among Residents in a Rural Area in Japan: A Cross-Sectional Study

For the prevention of suicides, the early detection of depression symptoms and the implementation of suicide prevention measures based on the local community's conditions are critical. In rural or remote communities with poor access to urban areas, the medical care is often insufficient. We conducted the present study to investigate the relationship between depressive state and social-environmental factors in a depopulated inland rural area in central Japan, where the suicide rate is high and specialized psychiatric care is not available. Using a correspondence analysis, logistic regression analysis, and structural equation modeling (SEM), we examined the questionnaire responses of 912 residents (average 60.5 years old). Total Health Index-Depression (THI-D) scale scores were used to measure depressive state. The lifestyle-related factor with the strongest link to depressive state was 'concerns about interpersonal relationships' (OR = 2.7, 95% CI: 2.06-3.53, p < 0.0001), whereas financial concerns, number of friends, exercise habits, and perceived amount of sleep were also useful for predicting depressive state. The SEM showed that one's job and private life, particularly concerns about interpersonal relationships, are correlated with higher THI-D scores. Thus, social and lifestyle factors (e.g., concerns about interpersonal relationships and financial situation) can be used to predict depressive state in a depopulated rural area, and the newly revealed order in which depressive symptoms manifest is important. Our findings can be used to advance assessments of depressive symptoms and will be useful for mental health and suicide prevention.

Identifying causes of persistent HIV viremia in adult patients at an academic medical center

Objectives:

Despite many advances in medicine, not all individuals with HIV are able to achieve complete virologic suppression. This retrospective study identifies variables associated with persistent HIV viremia in an academic clinic.

Methods:

We studied 66 HIV-infected patients with a viral load of >200 copies/mL over 1 year, with controls matched 1:1 via a propensity score utilizing age at diagnosis, era of diagnosis, gender, and initial CD4 count. We collected data on multiple variables including medications, adherence, comorbidities, hospitalizations, and insurance status. Conditional logistic regression was used for unadjusted and adjusted analyses.

Results:

A total of 66 viremic cases/matched controls were included. Fewer viremic patients were on antiretroviral therapy for all 12 months (45% vs 77%; odds ratio: 0.33, p = .018) and fewer were of white race (52% vs 70%; odds ratio: 0.49, p = .053). Hospitalization (11% vs 3%; odds ratio: 10, p = .028), underinsurance (20% vs 1%; odds ratio: 5.87, p = .022), and conflicting personal beliefs about their disease (17% vs 3%; odds ratio: 5.5, p = .027) were more common in viremic patients. Psychiatric illness increased the odds of viremia in patients who had four or more visits (odds ratio: 1.63/6.64 with four/five clinic visits, respectively).

Conclusion:

Psychiatric illness is an important contributor to the presence of persistent viremia in HIV-infected patients and deserves further study.

Predictors of willingness to use a smartphone for research in underserved persons living with HIV

OBJECTIVES

The burden of HIV/AIDS is borne disproportionally by a growing number of racial and ethnic minorities and socioeconomically disadvantaged individuals. Developing mHealth interventions for the everyday self-management needs of persons living with HIV (PLWH) can be challenging given the current constraints of the U.S. healthcare system, especially for those from underserved communities. In order to develop effective, evidence-based mHealth self-management interventions, we need a better understanding of the factors associated with mHealth research. The purpose of this study was to assess factors associated with PLWH's for participation in research using smartphones.

METHODS

We conducted a prospective cohort study (parent study) to examine the relationships among HIV self-management, age, gender and mental wellness. Relevant to this study, we analyzed the relationship between self-reported use of smartphones, willingness to use a smartphone for research, and other predictor variables including: HIV stigma, social isolation, social integration functions, and depression. We selected these variables because previous work indicated they may influence smartphone or mHealth use and because they also tend to be elevated in PLWH.

RESULTS

We found increased age, HIV stigma and social isolation were negatively associated with smartphone use, which supports the use of smartphones for conducting research with PLWH but also suggests that age, stigma, social integration functions and social isolation need to be considered in research involving PLWH.

CONCLUSIONS

Findings here support smartphone use in research involving PLWH. However, future mHealth interventions targeting PLWH should take into account the inverse relationship between smartphone use and age, HIV stigma, and social isolation, and other predictor variables.