| Literature DB >> 35840962 |
Marya Gwadz1,2, Sabrina R Cluesman3, Robert Freeman4, Linda M Collins5,6, Caroline Dorsen7, Robert L Hawkins3, Charles M Cleland5,8, Leo Wilton9,10, Amanda S Ritchie3, Karen Torbjornsen3, Noelle R Leonard5,11, Belkis Y Martinez12, Elizabeth Silverman3, Khadija Israel3, Alexandra Kutnick3.
Abstract
BACKGROUND: Rates of participation in HIV care, medication uptake, and viral suppression are improving among persons living with HIV (PLWH) in the United States. Yet, disparities among African American/Black and Latino PLWH are persistent, signaling the need for new conceptual approaches. To address gaps in services and research (e.g., insufficient attention to structural/systemic factors, inadequate harm reduction services and autonomy support) and improve behavioral interventions, we integrated critical race theory, harm reduction, and self-determination theory into a new conceptual model, then used the model to develop a set of six intervention components which were tested in a larger study. The present qualitative study explores participants' perspectives on the study's acceptability, feasibility, and impact, and the conceptual model's contribution to these experiences.Entities:
Keywords: Critical race theory; Ethnic inequalities; HIV care continuum; Harm reduction; Intervention; Motivational interviewing; Qualitative; Racial; Self-determination theory; Structural racism
Mesh:
Year: 2022 PMID: 35840962 PMCID: PMC9286957 DOI: 10.1186/s12939-022-01699-0
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1Schematic describing the steps leading to the present study
Fig. 2IIT-ICM core elements for ICM1
Participant sociodemographic and background characteristics (N = 46)
| Age (range 23 – 62 years) | 48.9 (8.74) |
| Female | 21.7 |
| Male | 78.3 |
| Sexual and/or gender minority status | 32.6 |
| Transgender gender identity, gender fluid, gender non-conforming | 4.3 |
| African American or Black (non-Latino/Hispanic) | 76.1 |
| Latino or Hispanic | 21.7 |
| Stable housing (has their own home or apartment, including funded by government programs or benefits) | 47.8 |
| Adverse Childhood Experiences (ACES-R) score (range 0–14) | 3.56 (3.33) |
| Working full-time or part-time off-the-books or on-the-books | 17.4 |
| Ran out of funds for necessities monthly or more in the past year | 45.7 |
| Food insecurity often or sometimes in past year | 84.8 |
| Engaged in transactional sex – past year | 17.4 |
| Years since HIV diagnosis at enrollment (range 3.0—30.0 years) | 18.6 (7.18) |
| Median [Q1, Q3] | 18.5 [13.3, 24.0] |
| Took HIV medication in the past | 100 |
| Times stopped/started HIV medication in the past (range 0—100 times) | 10.6 (17.8) |
| Longest duration of sustained HIV medication, in months (range 0–264 months) | 45.0 (62.7) |
| Alcohol use at a moderate-to-high-risk level | 54.3 |
| Cannabis use at a moderate-to-high-risk level | 60.9 |
| Cocaine or crack use at a moderate-to-high-risk level | 63.0 |
| Use of other drugs (not including alcohol, cannabis, cocaine/crack) at a moderate-to-high-risk level | 28.3 |
| Never injected drugs | 87.0 |
| Injection drug use lifetime, but not in the past 3 months | 6.5 |
| Injection drug use – past 3 months | 6.5 |
| Participated in substance use treatment in the past | 78.3 |
| Likely depression | 21.7 |
| Likely anxiety | 10.9 |
| Likely PTSD | 34.8 |
| HIV viral load level at enrollment (log10 transformed) | 4.28 (0.970) |
| Suppressed HIV viral load at 8- and/or 12- month follow-up assessment | 40.0 |
Acceptability ratings at the final follow-up assessment (N = 411)
| % | |
|---|---|
| Overall, I think the activities and services in the Heart to Heart 2 project are good to excellent | 90.0 |
| The information I have received in the project has been helpful or very helpful | 92.2 |
| The staff of the project have answered my questions most of the time to all the time | 91.0 |
| The project staff treats me like I am an individual with unique needs and concerns most times to all the time | 90.5 |
| The project staff respects my privacy most times to all the time | 90.8 |
| The project staff understand the needs of people of my racial, ethnic, or cultural group most times to all the time | 87.1 |
| (If sexual/gender minority status) The project staff understand the needs of people who identify as LGBTQ (lesbian, gay, bisexual, transgender and queer) | 82.0 |
| (If female) The project staff understand the needs of women most times to all the time | 92.1 |
| (If < 36 years old) The project staff understand the needs of younger people (< 36 years old) most times to all the time | 78.5 |
| (If > 50 years old) The project staff understand the needs of older people (≥ 50 years old) most times to all the time | 88.5 |
| Participation in the Heart to Heart 2 project affected my decision to regularly attend HIV medical care somewhat to a great deal | 76.2 |
| Participation in the Heart to Heart 2 project affected my decision about whether or not to start HIV medication somewhat to a great deal | 71.8 |
Implications drawn from the present study
| Implications for the larger context in which AABL-PLWH are located |
| Implications for HIV care delivery settings |
Practical guidelines for designing behavioral interventions using the IIT-ICM
| General principles | •Involve members of the population under study in all steps of this analysis and design process (e.g., participatory action research models) •Involve content experts in both upstream (systemic/distal) and downstream (proximal) factors in all steps of this analysis and design process, including those with lived experience •Use these steps in an iterative manner and return to previous steps to revise the analyses, model, and intervention content as needed |
| Step 1 | Identify the public health problem to address |
| Step 2 | Define the specific behavior to change (the behavior of interest) |
| Step 3 | Identify the •“Center the margins” to prioritize the perspectives of the population under study, rather than the dominant group •Consider racism and inequality from a systemic lens Elicit and understand counter-narratives that may influence behavior change •Consider how systems and structures intersect to create risk (called “structural intersectionality”) •Identify sources of population- and individual-level resistance, strengths, and resilience |
| Step 4 | Identify the more |
| Step 5 | The range of factors that influence the behavior of interest, both upstream and downstream and modifiable and non-modifiable, have now been identified. These modifiable factors can now be organized into a conceptual model using •Not all upstream and downstream factors will need to be placed in the resultant conceptual model, but the model should reflect the primary potentially modifiable factors that promote/impede the behavior of interest •Ideally, the factors in the model will be addressed in the intervention/intervention components and be conceptualized as mediators of the intervention |
| Step 6 | To develop the specific intervention or intervention components and the optimal behavior change techniques, at this step bring in an •The intervention or intervention components will entail specific •Consider how the behavior change techniques relate to the IIT-ICM •Some behavior change techniques will align better with the IIT-ICM than others •Interventions/intervention components generally also have a •Motivational interviewing aligns with the IIT-ICM. Consider whether the motivational interviewing approach would enhance the intervention/intervention components |
| Step 7 | Evaluate how the intervention structure, modalities, delivery, and content will be implicitly and explicitly •Ask whether the intervention implicitly and explicitly locates the primary causes of the public health problem at an upstream level and evaluate whether this is communicated in the intervention content •E.g., interventions can guide participants through an analysis of barriers to a health problem that starts with structural/systemic causes |
| Step 8 | Evaluate how the intervention structure, modalities, delivery, and content will be implicitly and explicitly •Examples include introducing and/or listening for culturally salient factors such as medical distrust, fear of medications, counter-narratives about health problems, and attending to sources of resistance and resilience grounded in culture |
| Step 9 | Evaluate the intervention or intervention components for the following characteristics and revise as needed. How are they implicitly and explicitly |