A Web-Based Intervention to Reduce Decision Conflict Regarding HIV Pre-Exposure Prophylaxis: Protocol for a Clinical Trial

Decision conflict and the decision support needs of HIV PrEP-eligible Black patients in Toronto regarding the adoption of PrEP for HIV prevention

Objectives: This study examined factors contributing to decision conflict and the decision support needs of PrEP-eligible Black patients. Methods:The Ottawa Decision Support Framework (ODSF) was used to guide the development of a key informant guide used for qualitative data collection. Black patients assessed by healthcare providers as meeting the basic criteria for starting PrEP were recruited through the St. Michael's Hospital Academic Family Health Team and clinical and community agencies in Toronto. Participants were interviewed by trained research staff. Qualitative content analysis was guided by the ODSF, and analysis was done using the Nvivo. Results: Four women and twenty-five men (both heterosexual and men who have sex with men) were interviewed. Participants reported having difficulty in decision making regarding adoption of PrEP. The main reasons for decision-conflict regading PrEP adoption were: lack of adequate information about PrEP, concerns about the side effects of PrEP, inability to ascertain the benefits or risk of taking PrEP, provider's lack of adequate time for interaction during clinical consultation, and perceived pressure from healthcare provider. Participants identified detailed information about PrEP, and being able to clarify how their personal values align with the benefits and drawbacks of PrEP as their decision support needs. Conclusion:Many PrEP-eligible Black patients who are prescribed PrEP have decision conflict which often causes delay in decision making and sometimes rejection of PrEP. Healthcare providers should offer decision support to Black patients who are being asked to consider PrEP for HIV prevention.

Decision coaching for people making healthcare decisions

BACKGROUND

Decision coaching is non-directive support delivered by a healthcare provider to help patients prepare to actively participate in making a health decision. 'Healthcare providers' are considered to be all people who are engaged in actions whose primary intent is to protect and improve health (e.g. nurses, doctors, pharmacists, social workers, health support workers such as peer health workers). Little is known about the effectiveness of decision coaching.

OBJECTIVES

To determine the effects of decision coaching (I) for people facing healthcare decisions for themselves or a family member (P) compared to (C) usual care or evidence-based intervention only, on outcomes (O) related to preparation for decision making, decisional needs and potential adverse effects.

SEARCH METHODS

We searched the Cochrane Library (Wiley), Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (Ovid), Embase (Ovid), PsycINFO (Ovid), CINAHL (Ebsco), Nursing and Allied Health Source (ProQuest), and Web of Science from database inception to June 2021.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) where the intervention was provided to adults or children preparing to make a treatment or screening healthcare decision for themselves or a family member. Decision coaching was defined as: a) delivered individually by a healthcare provider who is trained or using a protocol; and b) providing non-directive support and preparing an adult or child to participate in a healthcare decision. Comparisons included usual care or an alternate intervention. There were no language restrictions.

DATA COLLECTION AND ANALYSIS

Two authors independently screened citations, assessed risk of bias, and extracted data on characteristics of the intervention(s) and outcomes. Any disagreements were resolved by discussion to reach consensus. We used the standardised mean difference (SMD) with 95% confidence intervals (CI) as the measures of treatment effect and, where possible, synthesised results using a random-effects model. If more than one study measured the same outcome using different tools, we used a random-effects model to calculate the standardised mean difference (SMD) and 95% CI. We presented outcomes in summary of findings tables and applied GRADE methods to rate the certainty of the evidence.

MAIN RESULTS

Out of 12,984 citations screened, we included 28 studies of decision coaching interventions alone or in combination with evidence-based information, involving 5509 adult participants (aged 18 to 85 years; 64% female, 52% white, 33% African-American/Black; 68% post-secondary education). The studies evaluated decision coaching used for a range of healthcare decisions (e.g. treatment decisions for cancer, menopause, mental illness, advancing kidney disease; screening decisions for cancer, genetic testing). Four of the 28 studies included three comparator arms.  For decision coaching compared with usual care (n = 4 studies), we are uncertain if decision coaching compared with usual care improves any outcomes (i.e. preparation for decision making, decision self-confidence, knowledge, decision regret, anxiety) as the certainty of the evidence was very low.  For decision coaching compared with evidence-based information only (n = 4 studies), there is low certainty-evidence that participants exposed to decision coaching may have little or no change in knowledge (SMD -0.23, 95% CI: -0.50 to 0.04; 3 studies, 406 participants). There is low certainty-evidence that participants exposed to decision coaching may have little or no change in anxiety, compared with evidence-based information. We are uncertain if decision coaching compared with evidence-based information improves other outcomes (i.e. decision self-confidence, feeling uninformed) as the certainty of the evidence was very low. For decision coaching plus evidence-based information compared with usual care (n = 17 studies), there is low certainty-evidence that participants may have improved knowledge (SMD 9.3, 95% CI: 6.6 to 12.1; 5 studies, 1073 participants). We are uncertain if decision coaching plus evidence-based information compared with usual care improves other outcomes (i.e. preparation for decision making, decision self-confidence, feeling uninformed, unclear values, feeling unsupported, decision regret, anxiety) as the certainty of the evidence was very low. For decision coaching plus evidence-based information compared with evidence-based information only (n = 7 studies), we are uncertain if decision coaching plus evidence-based information compared with evidence-based information only improves any outcomes (i.e. feeling uninformed, unclear values, feeling unsupported, knowledge, anxiety) as the certainty of the evidence was very low.

AUTHORS' CONCLUSIONS

Decision coaching may improve participants' knowledge when used with evidence-based information. Our findings do not indicate any significant adverse effects (e.g. decision regret, anxiety) with the use of decision coaching. It is not possible to establish strong conclusions for other outcomes. It is unclear if decision coaching always needs to be paired with evidence-informed information. Further research is needed to establish the effectiveness of decision coaching for a broader range of outcomes.

Reimaging an AIDS free generation: Examining youth and young adults' personal agency and its association with HIV testing

Exploring youth and young adult's agency may be a way to increase HIV testing and help end the HIV epidemic. We used data from the National Survey of Teens and Young Adults (15-24) on HIV/AIDS (N = 1,437). Data were collected from September 21-October 1, 2012. The sample included 748 girls and 689 boys; and the mean age is 20 years (SD: 3.02). Youth and young adults completed a 40-question survey on attitudes and knowledge about HIV. Using a multivariable logistic regression analysis, study findings suggest that focusing on protective health behaviors like the role youth can play in ending the epidemic and hearing about an AIDS-free generation were both associated with an increase in HIV testing. Our study finds that enhancing the role and influence of personal agency can inform HIV prevention and intervention programs that are specific to youth.

HIV Information Acquisition and Use Among Young Black Men Who Have Sex With Men Who Use the Internet: Mixed Methods Study

Background

HIV disproportionately affects young Black men who have sex with men (YBMSM) in the United States. eHealth holds potential for supporting linkage and engagement in HIV prevention and care and the delivery of HIV information to YBMSM.

Objective

This study aims to investigate HIV information acquisition and use among YBMSM who use the internet.

Methods

A web-based self-administered survey and semistructured interviews were conducted. The survey findings informed the development of the interview guide. Descriptive statistics were used to characterize the survey sample, and interview data were analyzed thematically using modified grounded theory methodologies.

Results

Among the internet sample (N=83), the average age was 29.2 (SD 3.5) years, 41% (n=34) of participants self-reported living with HIV, 43% (n=36) were HIV-negative, and 15% (n=13) were unsure of their HIV status. Most participants (n=79, 95%) acquired HIV information through the internet while using a mobile phone. Web-based HIV information was intentionally sought from consumer health information websites (n=31, 37%), government health information websites (n=25, 30%), and social media (n=14, 17%). Most men incidentally acquired HIV information via advertisements on social media sites and geospatial dating apps (n=54, 65%), posts on social media sites from their web-based social ties (n=44, 53%), and advertisements while browsing the internet (n=40, 48%). Although the internet is the top source of HIV information, health care providers were the most preferred (n=42, 50%) and trusted (n=80, 96%) source of HIV information. HIV information was used to facilitate the use of HIV prevention and care services. The qualitative sample included YBMSM across a range of ages and at different points of engagement in HIV prevention and care. Qualitative findings included the importance of the internet as a primary source of HIV information. The internet was used because of its ease of accessibility, because of its ability to maintain anonymity while searching for sensitive information, and to mitigate intersecting stigmas in health care settings. Participants used HIV information to assess their risk for HIV and AIDS, support their skill building for HIV prevention, inform patient–doctor communication, and learn about HIV prevention and treatment options. Men expressed concerns about their diminishing access to online spaces for HIV information exchange among YBMSM because of censorship policies on social media sites and the stigmatizing framing and tone of mass media HIV-prevention advertisements encountered while using the internet.

Conclusions

YBMSM in this sample had high utilization of eHealth for HIV information acquisition and use but diminished access to their preferred and most trusted source of HIV information: health care providers. Future eHealth-based HIV interventions culturally tailored for YBMSM should aim to reduce intersectional stigma at the point of care and support patient–provider communication. The findings demonstrate the need for community-informed, culturally tailored HIV messaging and online spaces for informational support exchange among YBMSM.

Autonomy-Supportive Healthcare Climate and HIV-Related Stigma Predict Linkage to HIV Care in Men Who Have Sex With Men in Ghana, West Africa

In Ghana, the HIV prevalence among MSM is more than 10 times greater than the general population of adults, and rates of engagement in HIV medical care are low among MSM diagnosed with HIV. Using structured surveys, we investigated the impact of HIV-related stigma, same-sex behavior stigma, and gender nonconformity stigma on linkage to HIV care (LTC) in MSM (N = 225) living with HIV in Ghana. Autonomy-supportive healthcare climate (OR = 1.63, p < .01), vicarious HIV stigma (OR = 2.73, p < .01), and age (OR = 1.06, p < .004) predicted LTC. Conversely, felt normative HIV stigma negatively predicted LTC (OR = 0.65, p < .05). Finally, we identified regional disparities, with MSM from Takoradi being 4 times and 5 times more likely to be LTC compared to Kumasi and Accra, respectively. Our findings highlight the nuanced roles of stigmas in shaping the HIV care continuum among MSM living with HIV, while revealing potential gaps in current measures of HIV-related stigma.