Incidence and risk factors associated with lost to follow-up in a Belgian cohort of HIV-infected patients treated with highly active antiretroviral therapy

Incidence rate, predictors and outcomes of interruption of HIV care: nationwide results from the Belgian HIV cohort

Objectives

We aimed to study the incidence rate, predictors and outcomes of HIV care interruption (HCI) in Belgium.

Methods

We analysed data for adult patients with at least two HIV care records in the Belgian HIV cohort between 1 January 2007 and 31 December 2016. An HCI episode was defined as 1 year without an HIV care record. The HCI incidence rate was analysed using Poisson regression, return to HIV care using a cumulative incidence function with death as a competing risk, and viral load (VL) status upon return to HIV care using logistic regression.

Results

We included 16 066 patients accounting for 78 625 person‐years of follow‐up. The incidence rate of HCI was 5.3/100 person‐years [95% confidence interval (CI) 5.1–5.4/100 person‐years]. The incidence of return to HIV care after HCI was estimated at 77.5% (95% CI 75.7–79.2%). Of those who returned to care, 43.7% had a VL ≤ 200 HIV‐1 RNA copies/mL, suggesting care abroad or suboptimal care (without an HIV‐related care record) in Belgium during the HCI, and 56.3% returned without controlled VL and were therefore considered as having experienced a real gap in HIV care; they represented 2.3/100 person‐years of follow‐up. Factors individually associated with HCI were no antiretroviral therapy (ART) uptake, lower age, injecting drug use, non‐Belgian nationality, male gender, not being a man who has sex with men, a shorter time since HIV diagnosis, no high blood pressure and CD4 count < 350 cells/µL.

Conclusions

This study highlights the need to investigate return to care and viral status at return, to better understand HCI. Identified predictors can help health care workers to target patients at higher risk of HCI for awareness and support.

The effect of bundling medication-assisted treatment for opioid addiction with mHealth: study protocol for a randomized clinical trial

BACKGROUND

Opioid dependence has devastating and increasingly widespread consequences and costs, and the most common outcome of treatment is early relapse. People who inject opioids are also at disproportionate risk for contracting the human immunodeficiency virus (HIV) and hepatitis C virus (HCV). This study tests an approach that has been shown to improve recovery rates: medication along with other supportive services (medication-assisted treatment, or MAT) against MAT combined with a smartphone innovation called A-CHESS (MAT + A-CHESS).

METHODS/DESIGN

This unblinded study will randomly assign 440 patients to receive MAT + A-CHESS or MAT alone. Eligible patients will meet criteria for having an opioid use disorder of at least moderate severity and will be taking methadone, injectable naltrexone, or buprenorphine. Patients with A-CHESS will have smartphones for 16 months; all patients will be followed for 24 months. The primary outcome is the difference between patients in the two arms in percentage of days using illicit opioids during the 24-month intervention. Secondary outcomes are differences between patients receiving MAT + A-CHESS versus MAT in other substance use, quality of life, retention in treatment, health service use, and, related to HIV and HCV, screening and testing rates, medication adherence, risk behaviors, and links to care. We will also examine mediators and moderators of the effects of MAT + A-CHESS. We will measure variables at baseline and months 4, 8, 12, 16, 20, and 24. At each point, patients will respond to a 20- to 30-min phone survey; urine screens will be collected at baseline and up to twice a month thereafter. We will use mixed-effects to evaluate the primary and secondary outcomes, with baseline scores functioning as covariates, treatment condition as a between-subject factor, and the outcomes reflecting scores for a given assessment at the six time points. Separate analyses will be conducted for each outcome.

DISCUSSION

A-CHESS has been shown to improve recovery for people with alcohol dependence. It offers an adaptive and extensive menu of services and can attend to patients nearly as constantly as addiction does. This suggests the possibility of increasing both the effectiveness of, and access to, treatment for opioid dependence.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02712034 . Registered on 14 March 2016.

Reengagement in Care After a Gap in HIV Care Among a Population of Privately Insured Persons with HIV in the United States

The HIV care continuum illustrates steps needed to reach HIV viral suppression, including retention in care. The continuum's retention measure does not account for gaps or reengagement in care and thus provides an incomplete picture of long-term engagement. We used a claims database to determine the proportion of privately insured persons with HIV who experienced a gap in care and subsequently reengaged between 2008 and 2012. A gap was defined as no office visit claim in >6 months and reengagement as ≥1 office visit claim after a gap. Cox proportional hazards models were conducted to determine factors associated with time to first gap and time to reengagement. Of 5142 persons in the study, 79% were males and median age was 46 years (range, 19-64 years). No race/ethnicity data were available. Thirty percent (n = 1555) experienced a gap. Median time to first gap was 15 months (IQR: 6-30). Median gap length was 3.2 months. Seventy percent with a gap reengaged; 22% reengaged more than once. Of 1086 patients who reengaged, 224 (21%) eventually had a terminal gap. Residence in the North Central region (HR 0.73, 95% CI 0.62-0.87) and having ≥1 Charlson comorbidities (HR 0.85, 95% CI 0.73-0.99) were associated with shorter time to reengagement. The majority who experienced a gap reengaged within a relatively short period and remained in the cohort at 60 months. However, 21% of those reengaging had a terminal gap by 60 months, which should alert providers to the eventual potential for loss to follow-up. The analysis was limited by inability to distinguish between HIV-specific and non-HIV-specific care visits.

Loss to follow-up in anti-HCV-positive patients in a Brazilian regional outpatient clinic

Loss to follow-up (LF), which refers to patients who started care but voluntary stopped it, is a problem for patients with chronic disease. We aimed to estimate the rate of LF among patients seropositive for hepatitis C virus (HCV) and identify possible demographic and lifestyle risk factors associated with LF. From January 2009 through December 2012, 1010 anti-HCV-positive patients were included in the study. Among participants, 223 (22.1%) met the case definition for LF (more than 1-year elapsed since the last clinical appointment). Among 787 patients who remained in follow-up, 372 (47.2%) were discharged after undetectable HCV RNA, 88 (11.1%) were transferred (and remained on regular follow-up at the destination), and 25 (3.1%) died. According to univariate analysis, male gender, absence of a life partner, black race, psychiatric illness, previous alcohol abuse, previous or current recreational drug use, and previous or current smoking were significantly associated with LF. In multivariate analysis, absence of a life partner (adjusted odds ratio (AOR)=1.44; 95% confidence interval (95%CI)=1.03–2.02), black race (AOR=1.81, 95%CI=1.12–2.89), psychiatric illness (AOR=1.77, 95%CI=1.14–2.73), and the presence of at least one lifestyle risk factor (pertaining to substance abuse) (AOR=1.95, 95%CI=1.29–2.94) were independently associated with LF. Our study provides an estimate of the incidence of LF among anti-HCV-positive patients and identifies risk factors associated with this outcome. In addition, these results can help clinicians recognize patients at risk for LF, who require additional support for the continuity of care.

Evaluating patterns in retention, continuation, gaps, and re-engagement in HIV care in a Medicaid-insured population, 2006-2012, United States

We used the US-based MarketScan(®) Medicaid Multi-state Databases to determine the un-weighted proportion of publically insured persons with HIV that were retained, continued, and re-engaged in care. Persons were followed for up to 84 months. Cox proportional hazards models were conducted to determine factors associated with gaps in care. Of the 6463 HIV cases identified in 2006, 61% were retained during the first 24 months, and 53% continued in care through 78 months. Between 8% and 30% experienced a gap in care, and 59% of persons who experienced a gap in care later re-engaged in care. Persons with one or more Charlson co-morbidities (HR 0.72, 95% CI 0.64-0.81), ages 40-59 (0.79, 0.71-0.88), mental illness diagnosis (0.79, 0.72-0.87), hepatitis C co-infection (0.83, 0.75-0.93), and female sex (0.86, 0.78-0.94) were less likely to experience a gap in care. Between 27% and 38% of those not retained in care continued to receive HIV-related laboratory services. This Medicaid claims database combines features of both clinic visits-based and surveillance lab-based surrogate measures to give a more complete picture of engagement in care than single-facility-based studies.

Loss to follow-up in a cohort of HIV-infected patients in a regional referral outpatient clinic in Brazil

One of the main aspects related to non-adherence to combined antiretroviral therapy (cART) for patients infected with the Human Immunodeficiency Virus (HIV) refers to the abandonment of outpatient care. This study was aimed to estimate the loss to follow-up in outpatient HIV care at a Regional Referral Clinic (SAE) for HIV/AIDS in the city of Juiz de Fora, Brazil, and to identify associated factors and predictors. This is a prospective cohort of patients older than 18 years, under cART and regular outpatient care. The study included patients who attended medical visits during July-August 2011. Those who did not return to the clinic for new medical appointments within 90 days after the sixth month of follow up were considered lost to follow-up in outpatient care. Variables with P value ≤0.25 in the univariate analysis were included in a logistic regression model, adopting a significance level of 0.05. Among the 250 patients included in the study, 44 (17.6 %) were lost to follow up in outpatient care. Among these, 38 (86.4 %) were located in the cART delivery database system (SICLOM). Younger patients (≤43 versus >43 years) (OR 2.30 CI 1.06-5.00, P = 0.04), and patients attended by physician "E", when compared with physicians "A", "B", "C" or "D" (OR 5.90 CI 2.64-13.18, P = 0.00) were more likely to be lost to follow-up. Patients admitted in the service for 7 years or more were also more likely to be to lost to follow-up (OR 2.27 CI 1.2-4.4, P = 0.01), although this association did not remain statistically significant in the multivariate analysis. Although the purpose of the study, to identify individual factors associated to loss to follow-up, positives associations with a specific physician and with patients admitted in the service for 7 years or more suggest organizational factors. Although the majority of patients lost to follow-up in outpatient care were detected by SICLOM, a detectable viral load in most of these patients suggest a quality of outpatient HIV care proved ineffective, despite the availability of cART. We conclude on the need for further studies to investigate structural factors associated to loss to follow-up when enhanced retention strategies should be implemented in order to maintain an effective outpatient HIV care.

Longitudinal changes in engagement in care and viral suppression for HIV-infected injection drug users

OBJECTIVE

To examine temporal trends and predictors of linkage to HIV care, longitudinal retention in care and viral suppression among injection drug users (IDUs) infected with HIV.

DESIGN

Community-based, prospective cohort study.

METHODS

We prospectively studied 790 HIV-infected IDUs participating in the AIDS Linked to the Intravenous Experience (ALIVE) study from 1998 through 2011. IDUs were considered linked to care if they attended any HIV care visit during follow-up and retained in care if they reported HIV clinic attendance at every semi-annual study visit. We used logistic regression to identify predictors of poor retention in care and failure to achieve sustained viral suppression in response to ART.

RESULTS

Of 790 HIV-infected IDUs studied, 740 (93.6%) were ever linked to care. The majority of IDUs (76.7%) received ART at some point during observation and of these, most (85.4%) achieved viral suppression. However, over a median of 8.7 years of follow-up, only 241 (30.5%) IDUs were continuously retained with no 6-month lapses in HIV care and only 63 (10.2%) had sustained viral suppression at every study visit after first receiving ART. Suboptimal engagement in care was associated with poor access to medical care, active drug use, and incarceration.

CONCLUSION

Compared with national estimates of retention in care and virologic suppression in the United States, IDUs are substantially less likely to remain fully engaged in HIV care. Strategies to optimize HIV care should acknowledge the elevated risk of poor engagement in care among IDUs.

Comparing different measures of retention in outpatient HIV care

OBJECTIVES

The US National HIV/AIDS Strategy identifies retention in care as an important quality performance measure. There is no gold standard to measure retention in care. This study is the first to compare different measures of retention, using a large geographically diverse sample.

DESIGN

A prospective cohort of 17,425 HIV-infected adults enrolled in care at 12 US HIV clinics between 2001 and 2008.

METHODS

We compared three measures of retention for each patient: proportion of time not spent in a gap of more than 6 months between successive outpatient visits; proportion of 91-day quarters in which at least one visit occurred; proportion of years in which two or more visits separated by at least 90 days occurred. Associations among measures and effects of sociodemographic and clinical characteristics were examined.

RESULTS

The three measures of retention were moderately to strongly correlated. Averaging across patients, 71% of time in care was not spent in a gap more than 6 months; 73% of all quarters had at least one visit; and 75% of all years had at least two visits separated by at least 90 days. For all measures, retention was significantly higher for women, whites, older individuals, men who had sex with men (MSM)-related HIV transmission, and initial CD4 cell counts 50 cell/μl or less.

CONCLUSIONS

This is one of the first studies to provide a national estimate of retention in HIV care in the US, which ranged from 71 to 75% using any of the accepted retention measures. Future studies should assess how well different measures predict clinical outcomes and establish acceptable target levels for retention.

Retention in a public healthcare system with free access to treatment: a Danish nationwide HIV cohort study

OBJECTIVE

We aimed to assess retention of HIV-infected individuals in the Danish healthcare system over a 15-year period.

METHODS

Loss to follow-up (LTFU) was defined as 365 days without contact to the HIV care system. Data were obtained from the nationwide Danish HIV Cohort study, The Danish National Hospital Registry and The Danish Civil Registration System. Incidence rates, risk factors for LTFU and return to care and mortality rate ratios (MRRs) were estimated using Poisson regression analyses.

RESULTS

We included 4745 HIV patients who were followed for 36,692 person-years. Patients were retained in care 95.0% of person-years under observation, increasing to 98.1% after initiation of highly active antiretroviral treatment (HAART). The overall incidence rate/100 person-years for first episode of LTFU was 2.6 [95% confidence interval (CI) 2.5-2.8] and was significantly lower after initiation of HAART [1.2 (95% CI 1.0-1.3)]. Five years after LTFU the probability of return to care was 0.87 (95% CI 0.84-0.90). The risk of death was significantly increased after LTFU [MRR 1.9 (95% CI 1.6-2.6)] and 6 months or less after return to care [MRR 10.9 (95% CI 5.9-19.9)].

CONCLUSION

Retention in care of Danish HIV patients is high, especially after initiation of HAART. Absence from HIV care is associated with increased mortality. We conclude that high rates of retention can be achieved in a healthcare system with free access to treatment and is associated with a favorable outcome.