| Literature DB >> 36094636 |
Elizabeth D Lowenthal1,2,3, Stephanie M DeLong4, Brian Zanoni5,6, Irene Njuguna7,8, Kristin Beima-Sofie8, Dorothy Dow9,10, Aisa Shayo11,12, Alana Schreibman13, Charisse V Ahmed14, Jennifer Chapman15, Lydia Chen13, Shreya Mehta13, Michael T Mbizvo16.
Abstract
Members of the Adolescent HIV Prevention and Treatment Implementation Science Alliance (AHISA) network conduct research aiming to close gaps between what is known to be impactful across the HIV prevention and treatment cascade, and services delivered to optimize outcomes for adolescents/young adults (AYA) in high HIV-prevalence settings. The COVID-19 pandemic introduced new challenges which threaten to exacerbate care and access disparities. We report results of a survey among AHISA teams with active AYA HIV research programs in African countries to determine how the pandemic has impacted their efforts. Results highlighted the detrimental impact of the pandemic on research efforts and the expanded need for implementation research to help provide evidence-based, context-specific pandemic recovery support. Key lessons learned included the viability of remote service delivery strategies and other innovations, the need for adaptive systems that respond to evolving contextual needs, and the need for organized documentation plans, within empathic and flexible environments.Entities:
Keywords: Africa; Implementation science; Pandemic; Survey
Year: 2022 PMID: 36094636 PMCID: PMC9466311 DOI: 10.1007/s10461-022-03811-5
Source DB: PubMed Journal: AIDS Behav ISSN: 1090-7165
Design modifications and challenges to study validity due to the COVID-19 pandemic identified within the AHISA network
| Design changes and challenges | Examples from AYA HIV studies conducted among AHISA network members | Potential solutions and innovations |
|---|---|---|
| Under-powered studies | • Enrollment stopped early • Inability to meet recruitment goals • Increased loss to follow-up • Need for additional funding to complete aims | • Planning of new studies relevant to rapidly altered realities |
| Selection bias | • Fewer adolescents able to come to clinic to enroll in studies • Retention in studies more difficult for participants with fewer resources | • Investigate differences between those who do and do not enroll • Develop novel recruitment and retention strategies |
| Misclassification bias | • Potential for ALHIV to be classified as non-adherent to medications or clinic follow-up if they moved back to ancestral villages due to pandemic | • Tracing of AYA who are lost to follow-up |
| Confoundinga | • Financial impacts of pandemic • Pandemic-related social stressors • Availability of technology | • Measurement of impacts • Measurement of access to technologic innovations |
| Effect modificationb | • Availability of technology | • Measurement of access to technologic innovations |
| Missing data | • Unable to perform planned assessments • Missed study visits • Reduced capacity for follow-up labs • Increased loss to follow-up | • Statistical expertise to guide missing data issues • Tracing AYA who are lost to follow- up • Increasing use of qualitative methods to understand impacts |
| Reduced fidelity of interventions | • Loss of trained study staff • Inability to conduct study interventions in person • Rapid adaptations of interventions to remote formats | • Creation of materials to guide task- shifting • Testing and optimization of interventions adapted remote formats |
| Challenges to Generalizability | • Clients reluctant to interact with peer navigators as they did pre-COVID • Fewer people participated in studies during the pandemic (those who were able to participate are likely different from those who were not) | • Adapted intervention formats and decentralization of care to increase access and generalizability for marginalized populations |
aFactors that may be measured or unmeasured within studies associated with both exposures and outcomes, uncontrolled will bias the effect estimate calculated
bMagnitude of an effect estimate varies between groups when assessing the relationship between an exposure and an outcome; when anticipated should be factored into sample size calculations
Fig. 1Location of AHISA teams represented in results
COVID-19 pandemic impacts on Study Implementation reported by AHISA Teams
| Number (%) | |
|---|---|
| Research protocol modifications and IRB amendments required | 14 (88) |
| Introduction of remote research activities | 14 (88) |
| Interruptions in research recruitment | 11 (85)a |
| Interruptions in research follow-up | 12 (86)b |
| Study funding threatened by the COVID-19 pandemicc | 5 (31) |
aN = 13 for this response because some studies completed recruitment or had not yet initiated recruitment at the onset of the pandemic
bN = 14 for this response. Some studies consisted of only a single visit and others had completed follow-up at the onset of the pandemic
cSpecified funding threats included needing to return funds due to inability to conduct planned group intervention, needing to pay staff despite inability to continue study activities, and inability to apply for new funding due to investigators’ COVID-specific clinical responsibilities and additional childcare responsibilities limiting time available for research
COVID-19-related AYA HIV research study protocol modifications reported by AHISA Teams
Introduction of safety plans and monitoring for coronavirus prevention • Consent updated to highlight potential risk of acquiring COVID-19 from visiting a health facility • Acquisition and utilization of masks, hand sanitizer, protective screens, and disinfectants • Tracking of COVID Impacts • Addition of COVID questions to follow-up surveys with adolescents and providers • Addition of study visit immediately after COVID-related study stoppage to assess how study stoppage may have impacted outcomes • Introduction of continuous quality improvement cycles with healthcare providers by phone |
Adapted research activities to remote formats • Adapted research activities to online formats • Established security procedures for online communications • E-consent and assent • Intervention meetings conducted online • Adapted research activities to phone formats • Phone-based pre-screening of potential study participants • Introduction of phone-based consent and assent • Phone delivery of (revised) intervention tools • Phone interviews for study data collection • Phone check-ins • HIV testing location from clinic to home-based • Online study team meetings |
Enrollment sites changed or closed • Utilization of schools on weekends instead of weekdays to allow for greater social distancing for adolescent recruitment • Utilization of new community-based sites • Usual study sites closed due to their being repurposed as COVID-isolation centers |
Enrollment and follow-up procedures adapted • Staggered arrival times for research participants • Focus groups conducted virtually • More groups added, each with fewer participants per group to allow for social distancing |
Box 1 Key Lessons Learned for AYA HIV-Related Research
| AYA can demonstrate remarkable resilience in the face of rapid changes in their needs and environment |
| Remote service delivery can improve access for AYA, although some AYA remain marginalized by limited technology |
| Readiness to innovate improves responsiveness to change |
| Compassion and flexibility are important for both AYA and staff wellness |