Strategies to reengage patients lost to follow up in HIV care in high income countries, a scoping review

Disengagement from Care Among People Co-Infected with HIV and HCV: A Scoping Review

Disengagement from care among people with HIV (PWH) and hepatitis C (HCV) increases the risks of adverse health outcomes and poses significant barriers to achieving global HIV and HCV elimination goals. In accordance with the Joanna Briggs Institute framework, a scoping review was conducted to synthesize and highlight existing gaps in the literature on (dis)engagement in care among PWH and HCV. We searched for original studies on (dis)engagement in care among PWH and HCV in high-income countries using eight electronic databases from inception to May 2023. Our search yielded 4462 non-duplicated records, which were scoped to 27 studies. Definitions of (dis)engagement in care were diverse, with considerable heterogeneity in how retention was operationalized and temporally measured. Studies identified predictors of (dis)engagement to be related to drug and substance use (n = 5 articles), clinical factors (n = 5), social and welfare (n = 4), and demographic characteristics (n = 2). When engagement in care was treated as an exposure, it was associated with HCV treatment initiation (n = 3), achieving sustained virological response (n = 2), and maintaining HIV viral suppression (n = 1). Interventions to improve care engagement among PWH and HCV were limited to five studies using cash incentives (n = 1) and individual case management (n = 4). (Dis)engagement in care is a dynamic process influenced by shifting priorities that may 'tip the balance' towards or away from regularly interacting with healthcare professionals. However, inconsistent definitions render cross-study comparisons and meta-analyses virtually impossible. Further research needs to establish a standardized definition to identify patients at high risk of disengagement and develop interventions that leverage the nested HIV/HCV care cascades to retain and recover patients lost from care.

A randomized trial of 'fresh start' text messaging to improve return to care in people with HIV who missed appointments in South Africa

OBJECTIVE

Treatment interruptions are a barrier to successful antiretroviral therapy (ART). 'Fresh start messages', which leverage significant days on the calendar (e.g., new year, public holiday) in order to prompt action, have the potential to encourage people with HIV (PWH) to return to care. We evaluated a 'fresh start' intervention (text messages) to increase return to care in PWH who had missed their last appointment.

DESIGN

A three arm 1 : 1:1 individual randomised controlled trial.

METHODS

We randomized adults in Capricorn District who had missed ART appointments by >28 days to: no text message; unframed messages (fresh start not mentioned); or framed messages (fresh start mentioned). Randomization was stratified by treatment interruption duration and across two holidays (Youth Day, Mandela Day). The primary outcome was an ART-related clinic visit at ≤45 days of the first message.

RESULTS

9143 participants were randomised. For Youth Day, 1474 and 1468 were sent unframed and framed messages respectively, with 13.4% sent these messages having an ART visit vs. 11.9% not sent a message [adjusted odds ratio (aOR) 1.2; 95% confidence interval (CI): 1.0-1.4, P -value = 0.075]. For Mandela Day, 1336 and 1334 were sent unframed and framed messages respectively, with 6.7% sent these messages having an ART-related clinic visit vs. 5.4% not sent a message (aOR 1.2; 95% CI: 1.0-1.6; P -value = 0.100).

CONCLUSIONS

Low-cost text messages sent around a 'fresh start' date may increase the likelihood that patients who miss appointments return to care. This study suggests the potential of text messaging for motivating return to care.

Tracking People Living with HIV in Loss to Follow Up in Central Brazil: A Call for Attention to Health Services

Despite the effectiveness of antiretroviral therapy (ART), human immunodeficiency virus (HIV) infection remains a global public health concern. However, weaknesses in its management regarding access to integrated HIV care include treatment gaps and loss to follow-up (LTFU) from antiretroviral treatment (ART). This study aimed to characterize the epidemiological and clinical profiles of people living with HIV/AIDS (PLHA) in LTFU from HIV care in Campo Grande, Central Brazil. This retrospective cross-sectional study was conducted between January 2021 and April 2022 using secondary data from PLHA who had LTFU in Campo Grande. A total of 852 patients with PLHA were included in this study. The majority of participants in LTFU were male (63.1%), had a CD4 cell count > 200 cells/mm3 (68.2%), and had been treated for ≥ 3 months (86.4%). Only 287 (33.7%) participants had undetectable HIV viral load. Of the total number of patients who returned to treatment during the study period, 448 (54.3%) were LTFU-positive. The tracking strategy was not applied to 556 (65.26%) patients, and 44.4% of the participants had been in spontaneous demand. These results highlight the relevance of patient-centered interventions and the need to ensure early treatment and promote retention in care systems with consequent viral suppression, impacting the healthcare indicators of the population, with emphasis on health managers and stakeholders in HIV care.

Factors influencing patients on antiretroviral therapy loss to follow up: A qualitative analysis of healthcare workers perspective

Despite expanded and successful antiretroviral therapy program coverage, a large proportion of people drop out at different stages along their treatment course. As a result, treatment gains do not reach a large proportion of these groups. It has been demonstrated that around half of the patients who test Human immunodeficiency virus (HIV) positive in Sub-Saharan Africa are lost between testing and being considered for eligibility for therapy. The purpose of this study was to determine the factors that influence patients on antiretroviral therapy who lost to follow up in HIV treatment clinics in Asunafo South District, Ahafo Region. We used phenomenological qualitative research approach in conducting this study. Purposive sampling was used to select respondents, while key informant interview was used to collect the data. The major identified challenges in carrying out follow-up visits of patients on antiretroviral therapy were wrong addresses and phone numbers of clients, coupled with poor telecommunication networks, geographical relocation of clients, poor documentation of patients' information, and non-availability of means of transport. The preferred reengagement strategies identified in this study were: supply of drugs through home visits, intensive education, engaging the services of community-based surveillance officers, enhanced regular phone calls visits, adoption and use of an integrated antiretroviral therapy clinic, intensified education on HIV, and involvement of religious leaders. In conclusion, all clinicians and stakeholders should consider the identified challenges and reengagement strategies when providing antiretroviral services.

Evaluating bias with loss to follow-up in a community-based cohort: empirical investigation from the CARRS Study

BACKGROUND

Retention of participants is a challenge in community-based longitudinal cohort studies. We aim to evaluate the factors associated with loss to follow-up and estimate attrition bias.

METHODS

Data are from an ongoing cohort study, Center for cArdiometabolic Risk Reduction in South Asia (CARRS) in India (Delhi and Chennai). Multinomial logistic regression analysis was used to identify sociodemographic factors associated with partial (at least one follow-up) or no follow-up (loss to follow-up). We also examined the impact of participant attrition on the magnitude of observed associations using relative ORs (RORs) of hypertension and diabetes (prevalent cases) with baseline sociodemographic factors.

RESULTS

There were 12 270 CARRS cohort members enrolled in Chennai and Delhi at baseline in 2010, and subsequently six follow-ups were conducted between 2011 and 2022. The median follow-up time was 9.5 years (IQR: 9.3-9.8) and 1048 deaths occurred. Approximately 3.1% of participants had no follow-up after the baseline visit. Younger (relative risk ratio (RRR): 1.14; 1.04 to 1.24), unmarried participants (RRR: 1.75; 1.45 to 2.11) and those with low household assets (RRR: 1.63; 1.44 to 1.85) had higher odds of being lost to follow-up. The RORs of sociodemographic factors with diabetes and hypertension did not statistically differ between baseline and sixth follow-up, suggesting minimal potential for bias in inference at follow-up.

CONCLUSION

In this representative cohort of urban Indians, we found low attrition and minimal bias due to the loss to follow-up. Our cohort's inconsistent participation bias shows our retention strategies like open communication, providing health profiles, etc have potential benefits.

Pillars of long-term antiretroviral therapy success

BACKGROUND

Meeting the challenge of antiretroviral therapy (ART) whose efficacy can last a lifetime requires continuous updating of the virological, pharmacological, and quality of life outcomes to be pursued and a continuous review of literature data on the efficacy and tolerability of new drugs and therapeutic strategies.

METHODS

With the aim of identifying open questions and answers about the current controversies in modern ART, we adapted the Design Thinking methodology to the needs of the design phase of a scientific article, involving a team of experts in HIV care.

RESULTS

Five main pillars of treatment success were discussed: sustained virologic suppression over time; immunological recovery; pharmacological attributes; long-term tolerability and safety of ART; and people's satisfaction and quality of life. The definition of the outcomes to be achieved in each thematic area and the tools to achieve them were reviewed and discussed.

CONCLUSIONS

Long-term treatment success should be intended as a combination of HIV-RNA suppression, immune recovery, and high quality of life. To achieve this, the regimen should be well-tolerated, with high potency, genetic barrier, and forgiveness, and should be tailored by a person-centered perspective, based on individual needs, preferences, and therapeutic history.

Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

BACKGROUND

Antiretroviral therapy (ART) has transformed HIV from a fatal illness to a chronic disease. Given the high rate of treatment interruptions, HIV programs use a range of approaches to support individuals in adhering to ART and in re-engaging those who interrupt treatment. These interventions can often be time-consuming and costly, and thus providing for all may not be sustainable.

OBJECTIVE

This study aims to describe our experiences developing a machine learning (ML) model to predict interruption in treatment (IIT) at 30 days among people living with HIV newly enrolled on ART in Nigeria and our integration of the model into the routine information system. In addition, we collected health workers' perceptions and use of the model's outputs for case management.

METHODS

Routine program data collected from January 2005 through February 2021 was used to train and test an ML model (boosting tree and Extreme Gradient Boosting) to predict future IIT. Data were randomly sampled using an 80/20 split into training and test data sets, respectively. Model performance was estimated using sensitivity, specificity, and positive and negative predictive values. Variables considered to be highly associated with treatment interruption were preselected by a group of HIV prevention researchers, program experts, and biostatisticians for inclusion in the model. Individuals were defined as having IIT if they were provided a 30-day supply of antiretrovirals but did not return for a refill within 28 days of their scheduled follow-up visit date. Outputs from the ML model were shared weekly with health care workers at selected facilities.

RESULTS

After data cleaning, complete data for 136,747 clients were used for the analysis. The percentage of IIT cases decreased from 58.6% (36,663/61,864) before 2017 to 14.2% (3690/28,046) from October 2019 through February 2021. Overall IIT was higher among clients who were sicker at enrollment. Other factors that were significantly associated with IIT included pregnancy and breastfeeding status and facility characteristics (location, service level, and service type). Several models were initially developed; the selected model had a sensitivity of 81%, specificity of 88%, positive predictive value of 83%, and negative predictive value of 87%, and was successfully integrated into the national electronic medical records database. During field-testing, the majority of users reported that an IIT prediction tool could lead to proactive steps for preventing IIT and improving patient outcomes.

CONCLUSIONS

High-performing ML models to identify patients with HIV at risk of IIT can be developed using routinely collected service delivery data and integrated into routine health management information systems. Machine learning can improve the targeting of interventions through differentiated models of care before patients interrupt treatment, resulting in increased cost-effectiveness and improved patient outcomes.

Nursing Care on HIV/AIDS-Positive Men Who Have Sex with Men: A Qualitative Descriptive Study of Nurse's Perspective in Indonesia

HIV/AIDS-positive men who have had sex with men (MSM) account for roughly one-third of new infections in the region, with numerous nations facing a high and rising prevalence. They often face stigmatization and discrimination from society, including nurses. This study aims to explore nurses' perspectives on caring for HIV/AIDS-infected MSM. A descriptive qualitative design was utilized. Fifteen nurses who cared for HIV/AIDS-positive MSM in the two hospitals in Jakarta, Indonesia, were recruited with purposive sampling techniques. A semi-structured and in-depth interview was conducted. Data were analyzed using thematic analysis. We emerged three superordinate and nine subordinate themes: (1) negative nurse perceptions in the early phase of treatment, (2) nurse attitudes contrasting with negative perceptions, and (3) nurses with knowledge of HIV/AIDS. The negative perceptions appeared only at the beginning of the treatment phase, and thereafter, they were followed by a positive attitude. Nurses appeared to develop a better understanding after interacting with their patients and receiving training on HIV/AIDS. Therefore, intensive training is expected to not only increase their knowledge but to encourage a positive attitude.

Get2PrEP: An Electronic Medical Record Laboratory Comment Increased Safe Sex Counseling But Not Preexposure Prophylaxis Services at a Large Urban Academic Medical Center in Northern Manhattan

BACKGROUND

HIV preexposure prophylaxis (PrEP) remains underutilized despite its efficacy and potential population impact. Achieving PrEP's full potential depends on providers who are knowledgeable and comfortable prescribing it to individuals at risk of acquiring HIV. Previous educational interventions targeting provider-related uptake barriers have had limited success. We designed and tested an electronic medical record (EMR) interpretative comment to improve the delivery of PrEP.

METHODS

An EMR comment provided information on PrEP eligibility and referral resources to providers delivering positive chlamydia and gonorrhea results. Positive test results for bacterial sexually transmitted infections before intervention (January 1, 2019-August 23, 2019) and after intervention (August 24, 2019-December 31, 2019) were identified. A retrospective chart review was conducted to ascertain provider documentation of PrEP discussions or provision, HIV prevention discussions, and HIV screening. Pretest-posttest analysis was performed to compare the provision of PrEP and HIV prevention services.

RESULTS

We reviewed 856 preintervention encounters spanning 8 months and 461 postencounters spanning 4 months. Patient demographics were comparable. We observed an increase in provider documentation of safe sex and condom counseling (odds ratios [ORs], 1.2 [95% confidence interval {CI}, 1.07-1.18] and 1.11 [95% CI, 1.05-1.17], respectively), and the absence of any HIV prevention discussion decreased (OR, 0.85; 95% CI, 0.80-0.90), but not HIV screening or PrEP documentation.

CONCLUSIONS

We demonstrated that an EMR laboratory comment had a modest effect on increasing risk reduction counseling, although not HIV screening or PrEP prescriptions. Future strategies to encourage provider delivery of sexual health services may benefit from more targeted strategies that combine behavioral and information technology approaches.

Loss to Follow-Up Risk among HIV Patients on ART in Zimbabwe, 2009-2016: Hierarchical Bayesian Spatio-Temporal Modeling

Loss to follow-up (LTFU) is a risk factor for poor outcomes in HIV patients. The spatio-temporal risk of LTFU is useful to identify hotspots and guide policy. Secondary data on adult HIV patients attending a clinic in provinces of Zimbabwe between 2009 and 2016 were used to estimate the LTFU risk in each of the 10 provinces. A hierarchical Bayesian spatio-temporal Poisson regression model was fitted using the Integrated Nested Laplace Approximation (INLA) package with LTFU as counts adjusting for age, gender, WHO clinical stage, tuberculosis coinfection and duration on ART. The structured random effects were modelled using the conditional autoregression technique and the temporal random effects were modelled using first-order random walk Gaussian priors. The overall rate of LTFU was 22.7% (95%CI: 22.6/22.8) with Harare (50.28%) and Bulawayo (31.11%) having the highest rates. A one-year increase in the average number of years on ART reduced the risk of LTFU by 35% (relative risk (RR) = 0.651; 95%CI: 0.592-0.712). In general, the provinces with the highest exceedance LTFU risk were Matabeleland South and Matabeleland North. LTFU is one of the drawbacks of HIV prevention. Interventions targeting high-risk regions in the southern and northern regions of Zimbabwe are a priority. Community-based interventions and programmes which mitigate LTFU risk remain essential in the global HIV prevention campaign.