Predictors of loss to follow up among adult clients attending antiretroviral treatment at Karamara general hospital, Jigjiga town, Eastern Ethiopia, 2015: a retrospective cohort study

Loss to follow-up and its predictors among children living with HIV on antiretroviral therapy, southern Oromia, Ethiopia: a 5-year retrospective cohort study

BACKGROUND

Loss to follow-up (LTFU) among paediatric patients living with HIV presents a significant challenge to the global scale-up of life-saving antiretroviral therapy (ART).

OBJECTIVES

This study aims to estimate LTFU incidence and its determinants among children with HIV on ART in Shashemene town public health institutions, Oromia, Ethiopia.

DESIGN

A retrospective cohort study from 1 January 2015 to 30 December 2020.

SETTING

This study was conducted in Shashemene town, Oromia, Ethiopia.

PARTICIPANTS

Medical records of 269 children receiving ART at health facilities in Shashemene town were included.

METHODS

Data from patients' medical records were collected using a standardised checklist. EpiData V.3.1 was employed for data entry, while Statistical Package for the Social Sciences (SPSS) V.25 facilitated analysis. The Kaplan-Meier survival curve was used for estimation of survival time. To measure association, adjusted HRs (AHRs) with 95% CIs were calculated. Both bivariable and multivariable Cox proportional hazards regression models were employed to identify predictors of LTFU.

RESULTS

Of the 269 children living with HIV included in the final analysis, 43 (16%) were lost to follow-up. The overall incidence rate of LTFU was 3.3 (95% CI 2.4 to 4.4) per 100 child-years of observation. Age less than 5 years (AHR 0.03, 95% CI 0.00 to 0.36), non-orphan status of the child (AHR 0.13, 95% CI 0.05 to 0.34), < 30 min distance to health facility (AHR 0.24, 95% CI 0.08 to 0.73), disclosed HIV status (AHR 0. 32, 95% CI 0.13 to 0.80), history of opportunistic infection (AHR 3.54, 95% CI 1.15 to 10.87) and low CD4 count (AHR 5.17, 95% CI 2.08 to 12.85) were significant predictors of LTFU.

CONCLUSION

The incidence rate of LTFU was lower compared with other studies in Ethiopia. This result indicated that age less than 5 years, non-orphans, low CD4, disclosed HIV status and distance from health facility were predictors of LTFU.

Predictors of loss to follow up among adults on antiretroviral therapy before and after the start of treat-all strategy in public health facilities of Hawassa city, Ethiopia: A Competing risk regression

BACKGROUND

Treat-all strategies improved patient outcomes, despite higher rates of loss to follow-up compared to the pre-treat era. Patients in Ethiopia experienced a higher rate of LTFU during the treat-all strategy period; however, studies did not identify contributing factors in comparison with previous strategies. This study aimed to assess the incidence and predictors of loss to follow-up before and after the start of the treat-all strategy among adults on anti-retroviral therapy in public health facilities in Hawassa City, Ethiopia.

METHODS

An institution-based retrospective follow-up study was conducted among 1190 randomly selected adults on antiretroviral therapy in public health facilities in Hawassa City. Using the Open Data Kit (ODK), data were collected from medical records and exported to Stata version 16 and R 4.2.1 for analysis. A Grays test and cumulative incidence curve were used to compare the cumulative incidence function of loss to follow-up. Bivariable and multivariable competing risk regression were fitted to identify predictors of LTFU and variables with a p-value <0.05 were considered significant.

RESULTS

The cumulative incidence of lost-to-follow-up was 4.92(3.84,6.3) and 8.67(7.26,10.3) per 100 person-years (PY) in pre-treat all and treat all cohorts, respectively. The cumulative incidence of mortality was 5.86(4.67,7.35) and 3(2.26,4.12) per 100 PY in pre-treat and treat all cohorts, respectively. Fair/poor adherence (aSHR:5.17; (95% CI 1.97, 13.51), underweight (aSHR:2.13; 95% CI: 1.15-3.93) and WHO stage III/IV (aSHR:2.69; 95% CI: 1.27, 5.71) were predictors of loss up in pre-treat all, whereas fair/poor adherence (aSHR = 2.07; 95% CI: 1.18, 3.68), underweight (aSHR:1.71; 95% CI: 1.13, 2.56), and CD4 cell >350 cell/m3 (aSHR: 1.67; 95% CI: 1.05, 2.65) predicts of loss up in treat all cohorts.

CONCLUSION

This study demonstrated that the incidence of loss to follow-up was considerably higher in the treat-all period as compared to the pre-treat-all era. Poor medication compliance, underweight, and a CD4 level >350 cells/m3 contributed to the higher rate of LTFU in the treat-all strategy. Targeted interventions, such as nutritional support and strengthening medication adherence counseling, should be implemented to maintain treatment retention and reduce antiretroviral therapy dropout rates.

Determinants of Loss to Follow Up Among Adult People Living with HIV Enrolled in Antiretroviral Therapy in West Wollega Public Hospitals, Oromia, Ethiopia

Background

Antiretroviral Treatment (ART) reduces morbidity and mortality in patients with human immunodeficiency virus (HIV). However, clients loss to follow-up (LTFU) from the treatment poses a paramount problem to the public, healthcare, and patient outcome. Thus, this study identified determinants of loss to follow-up to ART among adult clients in West Wollega hospitals, Oromia, Ethiopia, in 2021.

Methods

An unmatched case-control study was conducted and a systematic random sampling technique was used. Data were collected from patient charts by three BSC nurses and three card reporters using a structured checklist. Then, it was entered into Epi-data version 3.1 and analyzed using SPSS version 21. Descriptive statistics (frequency and percentage) were used to present the results. Bivariate and multivariable logistic regression analyses were performed using the backward stepwise method. Adjusted odds ratio (AOR) and p-values <0.05 were used to declare significant association with loss to follow-up. Model fitness was checked using Hosmer-Lemeshow goodness-of-fit.

Results

A total of 399 (133 patients and 266 controls) participated in this study. Rural residents (AOR:3.46, 95% CI:1.65, 7.25), male patient (AOR: 2.65 95% CI 1.54,4.55), lack of formal education (AOR: 4.35, 95% CI 1.53, 12.41), base line CD4 ≤350 (AOR: 5.25, 95% CI 1.93,14.24), poor functional status (AOR: 4.298, 95% CI 5.33,34.62) and WHO stages III & IV (AOR: 2.65, 95% CI 1.68,4.19), and tuberculosis co-infection (AOR: 2.82, 95% CI 1.11,7.45) were determinant factors of loss to follow up.

Conclusion

Rural residence, male sex, daily laborer, no formal education, baseline CD4 count <350 cells/mm3, baseline advanced WHO clinical stage, and TB co-infection were determinants of LTFU. Therefore, emphasis should be given to the identified factors along with awareness creation and health education sessions. Regular TB screening, optimal adherence regardless of their stay on ART, and follow-up study are recommended.

Loss to Follow-up and Death Among Individuals With Newly Diagnosed Human Immunodeficiency Virus Receiving Dolutegravir-Based First-Line Antiretroviral Treatment in Eastern Ethiopia: Implications for 95% United Nations Targets

Background

Loss to follow-up (LTFU) and death are unfavorable outcomes of human immunodeficiency virus (HIV) treatment. This study aimed to identify the predictors of LTFU and death among individuals with newly diagnosed HIV receiving dolutegravir (DTG)-based first-line antiretroviral treatment (ART) in eastern Ethiopia.

Methods

A multisite prospective cohort study was carried out between October 2020 and July 2022. New case patients who started ART were enrolled consecutively and then followed up for the next 6 months. A structured questionnaire and checklists were used to collect data. HIV viral load was determined using the Abbott RealTime HIV-1 assay. Bivariable and multivariable logistic regression models were used to identify baseline factors associated with the outcomes.

Results

A total of 235 people with newly diagnosed HIV were enrolled; 16.6% (95% confidence interval, 12.3%-21.9%) were lost to follow-up, and 5.9% (3.5%-9.8%) died within 6 months of follow-up. Baseline World Health Organization clinical stage I (adjusted odds ratio, 3.93 [95% confidence interval, 1.34-11.57]), low viral load (3.67 [1.09-12.36]), and body weight (1.04 [1.01-1.07]) were predictors of LTFU, whereas nonfunctional status (10.02 [1.9-51.3]) was the only factor associated with death.

Conclusions

LTFU and death rates among patients with DTG were relatively high, accounting for roughly a quarter of the attrition of people with newly diagnosed HIV from ART care and services. Thus, targeted interventions are required to reduce LTFU and death among individuals with HIV on ART. Further investigation is necessary to evaluate the long-term effects of DTG-based regimens on LTFU and its impact on HIV mortality rates, and qualitative research, specifically tracing LTFU, is recommended.

Incidence and Predictors of Loss to Follow-Up Among Adults on Antiretroviral Therapy in South Gondar Governmental Hospitals, Ethiopia: Retrospective Cohort Study

Background

Approximately 38.4 million adult people worldwide live with HIV, of which the majority live in Africa. In Ethiopia increasing the quality of life to HIV patients and preventing HIV transmission are challenging. Even though test-and-treat strategy is applied for early enrollment to ART, poor retention and loss to follow-up are hindering the care.

Objective

This study examined the incidence and predictors of loss to follow-up among adult HIV patients on ART in South Gondar governmental hospitals, September 11, 2017-September 10, 2022.

Methods

A multi-facility-based retrospective follow-up study was conducted. Study subjects were assigned using simple random sampling methods by their medical record numbers. The data were entered into EPI data version 3.0.2 and exported to STATA version 17 for analysis. The Kaplan-Meier failure function was employed to determine the overall failure estimates. Cox proportional hazard model was tailored for both bi-variable and multivariable. Variables at p-value <0.05 with 95% CI were significantly associated with loss to follow-up.

Results

In this study, about 559 adult HIV survivors were included, and the response rate was 98%. The mean age and standard deviation (±SD) of study subjects were 36.6±9.3 years. The incidence rate of loss to follow-up was 6.7 per 100 person-years (95% CI: 5.6, 8.1). Educational status [AHR: 1.68 (95% CI: 1.04, 2.72)], substance use [AHR: 2.38 (95% CI: 1.50, 3.75)], and ART adherence [AHR: 3.33 (95% CI: 1.38, 8.08)] were significant determinants to loss to follow-up.

Conclusion

In conclusion, the study finding reported that the incidence of loss to follow-up was low. HIV patients who did not have formal education, substance users, and poor ART adherence were at greater hazard of being lost to follow-up. In order to mitigate the rate of loss to follow-up, it is recommended to strengthen the available intervention modalities.

Factors Associated with Retention in HIV Care Among HIV-Positive Adolescents in Public Antiretroviral Therapy Clinics in Ibanda District, Rural South Western Uganda

Background

Retention in antiretroviral therapy (ART) care is a key indicator of Human Immunodeficiency Virus (HIV) treatment success as it improves adherence, critical for better treatment outcomes and prevention of drug resistance. HIV treatment among adolescents living with HIV (ALHIV) is characterized by loss to follow-up, poor ART adherence, and eventual death. This study assessed retention in ART care and the associated factors among ALHIV in Ibanda district, rural South Western Uganda.

Methods

This was a retrospective cohort study using clinical data from ALHIV enrolled from 2019 to 2020 in eight health facilities in Ibanda district. Data from the Electronic Medical Record (EMR) system was extracted to assess the associated factors and participants' status two years after enrollment. Data were analyzed using EPIdata version 3.1 in which Univariate and multivariate cox proportional hazard regression analyses were determined. A hazard ratio (HR) at a 95% confidence interval was obtained, and a P-value <0.05 was considered statistically significant.

Results

Eighty-four ALHIV comprising 86.9% (N = 73) females were enrolled. The majority 63.1% (N = 53) resided in semi/peri-urban, and 44.0% (N = 37) stayed less than 5 km from the facility. Only 35.7% (N = 30) were active on ART, while 17 (20.2%) and 36 (42.9%) were lost to follow-up and transfer-outs, respectively. Factors associated with low retention were: ALHIV that moved 5-10Km (HR = 5.371; 95% CI: 1.227-23.5050, p = 0.026), used differential service delivery model was Facility-Based Group (FBG) (HR = 12.419; 95% CI: 4.034-38.236, p < 0.001) and those enrolled on the Young Adolescent Program Support (YAPs) (HR = 4.868; 95CI:1.851-12.803; p = 0.001). Retention reduced with increasing ART duration, ALHIV on (TDF/3TC/EFV) (p < 0.001), lived more than 10Km (p = 0.043) and did not benefit from any intervention (p < 0.001).

Conclusion

Results showed low retention in care and the urgent need to strengthen individual case management strategies for ALHIV, thus interventions focusing on peer support are desired.

Effect of predictors on incidence rate of pregnancy among reproductive age women on antiretroviral therapy at public hospitals of Jigjiga and Harar Towns, Eastern Ethiopia: a retrospective cohort study

BACKGROUND

Globally, Human Immunodeficiency Virus (HIV) is the leading cause of death in women of reproductive age and accountable for a quarter of deaths during pregnancy in sub-Saharan Africa including Ethiopia. Introduction of antiretroviral therapy to women living with HIV highly improves lifestyle and the desire to have children. A comprehensive understanding of baseline predictors of pregnancy among women receiving ART essential to reduces unintended pregnancies, appropriate care, and preventing transmission from mother to child.

OBJECTIVE

To determine the effect of baseline predictors on incidence rate of pregnancy among reproductive age women on antiretroviral therapy at public hospitals of Jigjiga and Harar town, Eastern Ethiopia from February 15 to march 15, 2020.

METHODS

Retrospective cohort study was conducted on randomly selected 420 HIV-infected women using data recorded from September 11, 2014, to September 10, 2019 in Jigjiga and Harar town in Eastern Ethiopia. Simple random sampling was used to select study subjects from each hospital. Data were entered to Epi data version 3.2 and exported to Stata version 14.2 for analysis. Kaplan-Meier failure, and Cox proportional hazards model were used to estimate the incidence, and to identify predictors of pregnancy respectively. Variables which were significant (P value < 0.05) in the multivariate analysis were considered independent predictors of pregnancy.

RESULTS

The overall incidence rate of pregnancy was 9.1 per 100 person-years (95% CI 7.19, 11.76). Being unadvanced HIV disease stage (AHR: 2.50; 95% CI 1.46, 4.19), having less than two children (AHR: 2.93; 95% CI 1.59, 5.40), and disclosed HIV status (AHR: 2.25; 95% CI 1.34, 3.79) were independent predictors of pregnancy.

CONCLUSION

The incidence rate of pregnancy among reproductive age women on ART was found to be considerable. Being unadvanced HIV disease stage, having less than two children, and disclosed HIV status were independent predictors of pregnancy. Thus, tailoring counseling have to be designed to enhance better pregnancy planning and consecutive health outcomes.

Loss to follow-up in "test and treat era" and its predictors among HIV-positive adults receiving ART in Northwest Ethiopia: Institution-based cohort study

Background

People living with HIV/AIDS are enrolled in lifelong Anti-Retroviral Treatment (ART) irrespective of their clinical staging as well as CD4 cell count. Although this "Universal Test and Treat" strategy of ART was found to have numerous benefits, loss from follow-up and poor retention remained a long-term challenge for the achievement of ART program targets. Hence, this study is aimed at addressing the much-needed effect of the test and treat strategy on the incidence of loss to follow-up (LTFU) in Ethiopia.

Method and materials

An institution-based follow-up study was conducted on 513 adults (age ≥15) who enrolled in ART at a public health institution in Bahir Dar City, Northwest Ethiopia. Data were extracted from the charts of selected patients and exported to Stata 14.2 software for analysis. Basic socio-demographic, epidemiological, and clinical characteristics were described. The Kaplan-Meier curve was used to estimate the loss to follow-up free (survival) probability of HIV-positive adults at 6, 12, 24, and 48 months of ART therapy. We fitted a multivariable Cox model to determine the statistically significant predictors of LTFU.

Result

The incidence density of LTFU was 9.7 per 100 person-years of observation (95% CI: 7.9-11.9 per 100 PYO). Overall, LTFU is higher in the rapid ART initiation (24% in rapid initiated vs. 11.3% in lately initiated, AHR 2.08, P = 0.004), in males (23% males vs. 14.7% females, AHR1.96, P = 0.004), in singles (34% single vs. 11% married, with AHR1.83, P = 0.044), in non-disclosed HIV-status (33% non-disclosed 11% disclosed, AHR 2.00 p = 0.001). Patients with poor/fair ART adherence were also identified as another risk group of LTFU (37% in poor vs. 10.5% in good adherence group, AHR 4.35, P = 0.001).

Conclusion

The incidence of LTFU in this universal test and treat era was high, and the highest figure was observed in the first 6 months. Immediate initiation of ART in a universal test and treat strategy shall be implemented cautiously to improve patient retention and due attention shall be given to those high-risk patients.

Development and validation of a risk prediction model for lost to follow-up among adults on active antiretroviral therapy in Ethiopia: a retrospective follow-up study

Background

Over 420,000 people have initiated life-saving antiretroviral therapy (ART) in Ethiopia; however, lost-to-follow-up (LTFU) rates continues to be high. A clinical decision tool is needed to identify patients at higher risk for LTFU to provide individualized risk prediction to intervention. Therefore, this study aimed to develop and validate a statistical risk prediction tool that predicts the probability of LTFU among adult clients on ART.

Methods

A retrospective follow-up study was conducted among 432 clients on ART in Gondar Town, northwest, Ethiopia. Prognostic determinates included in the analysis were determined by multivariable logistic regression. The area under the receiver operating characteristic (AUROC) and calibration plot were used to assess the model discriminative ability and predictive accuracy, respectively. Individual risk prediction for LTFU was determined using both regression formula and score chart rule. Youden index value was used to determine the cut-point for risk classification. The clinical utility of the model was evaluated using decision curve analysis (DCA).

Results

The incidence of LTFU was 11.19 (95% CI 8.95–13.99) per 100-persons years of observation. Potential prognostic determinants for LTFU were rural residence, not using prophylaxis (either cotrimoxazole or Isoniazid or both), patient on appointment spacing model (ASM), poor drug adherence level, normal Body mass index (BMI), and high viral load (viral copies > 1000 copies/ml). The AUROC was 85.9% (95% CI 82.0–89.6) for the prediction model and the risk score was 81.0% (95% CI 76.7–85.3) which was a good discrimination probability. The maximum sensitivity and specificity of the probability of LTFU using the prediction model were 72.07% and 83.49%, respectively. The calibration plot of the model was good (p-value = 0.350). The DCA indicated that the model provides a higher net benefit following patients based on the risk prediction tool.

Conclusion

The incidence of LTFU among clients on ART in Gondar town was high (> 3%). The risk prediction model presents an accurate and easily applicable prognostic prediction tool for clients on ART. A prospective follow-up study and external validation of the model is warranted before using the model.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07691-x.

The proportion of loss to follow-up from antiretroviral therapy (ART) and its association with age among adolescents living with HIV in sub-Saharan Africa: A systematic review and meta-analysis

Background

Human immunodeficiency virus (HIV) remains a global health threat, especially in developing countries. The successful scale-up of antiretroviral therapy (ART) programs to address this threat is hindered by a high proportion of patient loss to follow-up (LTFU). LTFU is associated with poor viral suppression and increased mortality. It is particularly acute among adolescents, who face unique adherence challenges. Although LTFU is a critical obstacle on the continuum of care for adolescents, few regional-level studies report the proportion of LTFU among adolescents receiving ART. Therefore, a systematic review and meta-analysis were conducted to estimate the pooled LTFU in ART programs among adolescents living with HIV in sub-Saharan Africa (SSA).

Methods

We searched five databases (PubMed, Embase (Elsevier), PsycINFO, CINAHL, and Scopus) for articles published between 2005 and 2020 and reference lists of included articles. The PRISMA guidelines for systematic reviews were followed. A standardised checklist to extract data was used. Descriptive summaries were presented using narrative tables and figures. Heterogeneity within the included studies was examined using the Cochrane Q test statistics and I² test. Random effect models were used to estimate the pooled prevalence of LTFU among ALHIV. We used Stata version 16 statistical software for our analysis.

Results

Twenty-nine eligible studies (n = 285,564) were included. An estimated 15.07% (95% CI: 11.07, 19.07) of ALHIV were LTFU. Older adolescents (15–19 years old) were 43% (AOR = 0.57, 95% CI: 0.37, 0.87) more likely to be LTFU than younger (10–14 years old) adolescents. We find an insignificant relationship between gender and LTFU (AOR = 0.95, 95% CI: 0.87, 1.03). A subgroup analysis found that regional differences in the proportion of adolescent LTFU were not statistically significant. The trend analysis indicates an increasing proportion of adolescent LTFU over time.

Conclusions and recommendations

The proportion of LTFU among HIV-positive adolescents in SSA seems higher than those reported in other regions. Older adolescents in the region are at an increased risk for LTFU than younger adolescents. These findings may help policymakers develop appropriate strategies to retain ALHIV in ART services. Such strategies could include community ART distribution points, appointment spacing, adherence clubs, continuous free access to ART, and community-based adherence support.

Baseline and Process Factors of Anti-Retroviral Therapy That Predict Loss to Follow-up Among People Living with HIV/AIDS in China: A Retrospective Cohort Study

We explored the predictors and predictive models of loss to follow-up (LTFU) during the first year of anti-retroviral therapy (ART). LTFU was defined as the failure to visit the clinic for antiretroviral drugs for ≥ 90 days after the last missed scheduled visit. Based on the electronic medical records of 5953 patients who were HIV positive and began ART between 2016 and 2019 in China, the LTFU rate was 7.24 (95% confidence interval 6.49-7.97) per 100 person-years during the first year of ART. ART baseline factors were associated with LTFU, but were non-optimal predictors. A model including ART process-related factors such as follow-up behaviors and physical health status had an area under the receiver operating characteristic curve of 73.4% for predicting LTFU. Therefore, the medical records of follow-up visits can be used to identify patients with a high risk of LTFU and allow interventions to be implemented proactively.

Does undernutrition increase the risk of lost to follow-up in adults living with HIV in sub-Saharan Africa? Protocol for a systematic review and meta-analysis

INTRODUCTION

Undernutrition is considered a marker for poor prognosis among people living with HIV (PLHIV), particularly in sub-Saharan Africa (SSA), where undernutrition and HIV are both highly prevalent. Evidence suggests that undernutrition (body mass index <18.5 kg/m²) is one of the main factors that significantly increases the risk of lost to follow-up (LTFU) in PLHIV. However, primary studies in SSA have reported inconsistent findings on the relationship between undernutrition and LTFU among adults living with HIV. To the best of our knowledge, no systematic review which aimed to summarise the available evidence. Hence, this review aims to determine the pooled effect of undernutrition on LTFU among adults living with HIV in SSA.

METHODS AND ANALYSIS

PubMed, EMBASE, Web of Science, Scopus, and, for grey literature, Google Scholar will be systematically searched to include relevant articles published since 2005. Studies reporting the effect of undernutrition on LTFU in adults living with HIV in SSA will be included. The Newcastle-Ottawa Scale will be used for quality assessment. Data from eligible studies will be extracted using a standardised data extraction tool. Heterogeneity between included studies will be assessed using Cochrane Q-test and I² statistics. The Egger's and Begg's tests at a 5% significance level will be used to evaluate publication bias. As heterogeneity is anticipated, the pooled effect size will be estimated using a random-effects model. The final effect size will be reported using the adjusted HR with a 95% CI.

ETHICS AND DISSEMINATION

Ethical approval is not required for a protocol for a systematic review. The results of this systematic review will be published in a peer-reviewed journal and will be publicly available.

PROSPERO REGISTRATION NUMBER

CRD42021277741.

Predictors of Loss to Follow-Up among HIV-Infected Adults after Initiation of the First-Line Antiretroviral Therapy at Arba Minch General Hospital, Southern Ethiopia: A 5-Year Retrospective Cohort Study

Background

Loss to follow-up (LTFU) from antiretroviral therapy (ART) reduces treatment benefits and leads to treatment failure. Hence, this study was aimed at determining the incidence of loss to follow-up and predictors among HIV-infected adults who began first-line antiretroviral therapy at Arba Minch General Hospital.

Methods

We carried out an institutional-based retrospective cohort study, and data were collected from the charts of 508 patients who were selected using a simple random sampling technique. All the data management and statistical analyses were conducted using STATA version 14. Cumulative survival probability was estimated and presented in the life table, and the Kaplan-Meir survival curves were compared using the log-rank test. The Cox proportional hazard model was used to identify the independent predictors.

Results

We followed 508 patients for 871.9 person-years. A total of 46 (9.1%) experienced loss to follow-up, yielding an overall incidence rate of 5.3 (95% CI: 3.9-7.1) per 100 person-years. The cumulative survival probability was 90%, 88%, 86%, and 86% at the end of one, two, three, and four years, respectively. The predictors identified were age less than 35 years (adjusted hazard ratio (aHR = 1.96; 95% CI: 1.92-4.00)), rural residence (aHR = 1.98; 95% CI: 1.02-3.83), baseline body weight greater than 60 kilograms (aHR = 2.19; 95% CI: 1.11-4.37), a fair level of adherence (aHR = 11.5; 95% CI: 2.10-61.10), and a poor level of adherence (aHR = 12.03; 95% CI: 5.4-26.7).

Conclusions

In this study, the incidence rate of loss to follow-up was low. Younger adults below the age of 35 years, living in rural areas, with a baseline weight greater than 60 kilograms, which had a fair and poor adherence level were more likely to be lost from treatment. Therefore, health professionals working in ART clinics and potential stakeholders in HIV/AIDS care and treatment should consider adult patients with these characteristics to prevent LTFU.

Determinants of loss to follow-up among people living with HIV on antiretroviral therapy in Nigeria

Background: Considerable success has been recorded in the global fight against the human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS). Retention in care is the key to the attainment of set goals in the fight against the disease. We aim to determine the factors associated with loss to follow-up (LTFU) among people living with HIV on antiretroviral therapy (ART) in a limited resource setting.Method: This was a retrospective cohort study that included adult patients who accessed ART at the study site between January 2005 and October 2018. A multivariate logistic regression model was used to obtain adjusted odds ratios and 95% confidence intervals of independent determinants of LTFU.Results: Of the 8 679 patients included in the study, 3 716 (43%) were males, 4 009 (46%) were enrolled during the years 2005 to 2008, 8 421 (97%) spent less than two hours travelling from their residence to the treatment centre, and 3 523 (41%) had their first-line ART regimen changed. Among the characteristics that determine LTFU were male patients (OR = 1.167, 95% CI: 1.071-1.272), and World Health Organization clinical stage 3 (OR = 2.091, 95% CI: 1.485-2.944).Conclusion: In our study, male gender, enrolment year 2005 to 2008, no change in first-line ART and nevirapine-based therapy were more likely to be associated with LTFU.

Attrition and Its Predictors Among Adults Receiving First-Line Antiretroviral Therapy in Woldia Town Public Health Facilities, Northeast Ethiopia: A Retrospective Cohort Study

Introduction

There is an expansion and advancement of antiretroviral therapy. However, attrition of patients from HIV care is one of the major drivers of poor performance of HIV/AIDS programs, which leads to drug resistance, morbidity and mortality. The study aimed to assess the incidence of attrition and its predictors among adults receiving first-line antiretroviral therapy.

Methods

An institution-based retrospective cohort study was conducted among 634 adults receiving antiretroviral therapy, and study participants were selected using a simple random sampling technique. Data were cleaned and entered into Epi Data version 3.1 and exported to STATA 14.1 for further analysis. The predictors of attrition were identified using bivariable and multivariable Cox Proportional hazard models; then, variables at a p-value of less than 0.25 and 0.05 were included in the multivariable analysis and statistically significant, respectively.

Results

The total time observed was found to be 1807.08 person-years of observation with a median follow-up time of 2.67 years (IQR 1.25−4.67). The incidence rate of attrition was 8.36 (95% CI: 7.12−9.80) per 100 person-years. Significant predictors of attrition were being young age [adjusted hazard ratio (AHR) =2.0, 95% CI, (1.11−3.58)], nearest calendar year of ART initiation [AHR =2.32, 95% CI, (1.08–5.01)], bedridden functional status [AHR=3.25, 95% CI, (1.33−7.96)], WHO stage III [AHR=3.57, 95% CI, (1.58−8.06)] and stage IV [AHR=5.46, 95% CI, (1.97−15.13)], viral load result of ≤1000 [AHR=0.11, 95% CI, (0.06−0.23)], disclosure status [AHR=2.03, 95% CI, (1.22−3.37)] and adherence level of poor [AHR=3.19, 95 CI, (1.67−6.09)].

Conclusion

The result of this study showed that the incidence of attrition among adults receiving antiretroviral therapy was high. However, as a standard, every client who started antiretroviral therapy should be retained. Positive predictors of attrition were young age (15–24), recent year of ART initiation, baseline functional status, advanced WHO stage III and IV, no disclosure status, fair/poor adherence whereas, viral load result of ≤1000 copies/mL had a preventive effect on attrition.

Factors affecting non-adherence to medical appointments among patients with hypertension at public health facilities in Punjab, India

Daily adherence to antihypertensive medications is necessary to control hypertension. Under the State hypertension control program, hypertensive patients are enrolled in public health settings, provided with 30-day medication prescriptions, and advised to return to the health facility monthly. However, at least 50-60% of patients do not visit the health facility for their scheduled follow-up appointments. The authors aimed to document the major reasons for missed appointments and to characterize patient and health system barriers. By telephone, the authors interviewed 300 randomly selected patients who missed appointments for more than three consecutive months. Out of the 300, 206 were interviewed using a pre-structured questionnaire to explore patients' experiences along with medical record reviews from the patient database. Not feeling sick or not experiencing any symptoms (24.8%) was the major reason why patients did not return to the clinic, followed by far distance from the facility (22.3%). Among other reasons for missing follow-up appointments, lack of instructions/guidance from the facility (15.3%), acute illness among patients (8.3%), and long waiting time at the facilities (7%) were also documented. Most of these patients (55.4%) continued treatment from other sources, and a majority (54%) preferred private clinics. These results suggest the need for a more patient-centered care model, including education about hypertension as an asymptomatic but life-threatening condition and addressing the barrier of travel distance between a patient's home and the health facility. Further, introducing a reminder system using telephone calls, text messages, or home visits by health workers may increase the follow-up rate among patients.

Incidence and predictors of early loss to follow up among patients initiated on protease inhibitor-based second-line antiretroviral therapy in southwestern Uganda

Background

Good adherence to antiretroviral therapy (ART) and retention in care are essential for the effectiveness of an HIV care program. With the current increase in numbers of people living with HIV taking second-line ART in sub-Saharan Africa, there is a need to establish their treatment outcomes and the rate of loss to follow up. In this study, we determined the incidence and predictors of loss to follow up among patients taking second-line ART at an experienced HIV treatment center in southwestern Uganda.

Methods

This was a retrospective review of an electronic database at Mbarara Regional Referral Hospital HIV clinic in southwestern Uganda. Second-line ART included at least two of the nucleoside reverse transcriptase inhibitors and a boosted protease inhibitor. Loss to follow-up was defined as failure to return to the health facility for care or treatment refill for 180 days or more from the previous visit. After excluding children less than 15 years, we pooled data that included socio-demographic, clinical, and laboratory data for patients who started second-line ART between 2002 and 2017. Multiple imputation was done for variables with missing data. Variables that had a p < 0.05 in unadjusted bivariate analyses were included in a multivariate binomial regression model using a stepwise backward selection procedure to describe the factors that independently predicted loss to follow-up.

Results

Between 2002 and 2017, 1121 patients had been initiated on second-line ART. We included data from 924 participants and of these, 518 (56.1%) were female, the mean age (SD) was 38.4 (± 10.5) years, and 433 (52.4%) had a CD4 count less than 100 cells/µl at the start of second-line ART. The incidence of loss to follow-up was 26.7 per 100 person-years. Male gender (Adjusted risk ratio (ARR) = 1.8, 95% CI 1.5–2.0) p < 0.001 and anemia ARR 1.4, 95% CI 1.1–1.6) p < 0.001 were strongly associated with loss to follow up.

Conclusions

There is a high incidence of loss to follow up among patients taking protease-inhibitor based second-line ART at a tertiary HIV center in southwestern Uganda. There is a need to routinely measure hemoglobin during clinic reviews, and establish mechanisms to retain males initiated on second-line ART in care. The association of anemia and loss to follow up needs to be investigated.

Predictors of lost to follow up from antiretroviral therapy among adults in sub-Saharan Africa: a systematic review and meta-analysis

BACKGROUND

It is known that 'drop out' from human immunodeficiency virus (HIV) treatment, the so called lost-to-follow-up (LTFU) occurs to persons enrolled in HIV care services. However, in sub-Saharan Africa (SSA), the risk factors for the LTFU are not well understood.

METHODS

We performed a systematic review and meta-analysis of risk factors for LTFU among adults living with HIV in SSA. A systematic search of literature using identified keywords and index terms was conducted across five databases: MEDLINE, PubMed, CINAHL, Scopus, and Web of Science. We included quantitative studies published in English from 2002 to 2019. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for methodological validity assessment and data extraction. Mantel Haenszel method using Revman-5 software was used for meta-analysis. We demonstrated the meta-analytic measure of association using pooled odds ratio (OR), 95% confidence interval (CI) and heterogeneity using I2 tests.

RESULTS

Thirty studies met the search criteria and were included in the meta-analysis. Predictors of LTFU were: demographic factors including being: (i) a male (OR = 1.2, 95% CI 1.1-1.3, I2 = 59%), (ii) between 15 and 35 years old (OR = 1.3, 95% CI 1.1-1.3, I2 = 0%), (iii) unmarried (OR = 1.2, 95% CI 1.2-1.3, I2 = 21%), (iv) a rural dweller (OR = 2.01, 95% CI 1.5-2.7, I2 = 40%), (v) unemployed (OR = 1.2, 95% CI 1.04-1.4, I2 = 58%); (vi) diagnosed with behavioral factors including illegal drug use(OR = 13.5, 95% CI 7.2-25.5, I2 = 60%), alcohol drinking (OR = 2.9, 95% CI 1.9-4.4, I2 = 39%), and tobacco smoking (OR = 2.6, 95% CI 1.6-4.3, I2 = 74%); and clinical diagnosis of mental illness (OR = 3.4, 95% CI 2.2-5.2, I2 = 1%), bed ridden or ambulatory functional status (OR = 2.2, 95% CI 1.5-3.1, I2 = 74%), low CD4 count in the last visit (OR = 1.4, 95% CI 1.1-1.9, I2 = 75%), tuberculosis co-infection (OR = 1.2, 95% CI 1.02-1.4, I2 = 66%) and a history of opportunistic infections (OR = 2.5, 95% CI 1.7-2.8, I2 = 75%).

CONCLUSIONS

The current review identifies demographic, behavioral and clinical factors to be determinants of LTFU. We recommend strengthening of HIV care services in SSA targeting the aforementioned group of patients. Trial registration Protocol: the PROSPERO Registration Number is CRD42018114418.

Predictors of retention in the prospective HIV prevention OKAPI cohort in Kinshasa

Retention is a key element in HIV prevention programs. In Sub-Saharan Africa most data on retention come from HIV clinical trials or people living with HIV attending HIV treatment and control programs. Data from observational cohorts are less frequent. Retention at 6-/12-month follow-up and its predictors were analyzed in OKAPI prospective cohort. From April 2016 to April 2018, 797 participants aged 15-59 years attending HIV Voluntary Counseling and Testing in Kinshasa were interviewed about HIV-related knowledge and behaviors at baseline and at 6- and 12-month follow-ups. Retention rates were 57% and 27% at 6- and 12-month follow up; 22% of participants attended both visits. Retention at 6-month was significantly associated with 12-month retention. Retention was associated with low economic status, being studying, daily/weekly Internet access, previous HIV tests and aiming to share HIV test with partner. Contrarily, perceiving a good health, living far from an antiretroviral center, daily/weekly alcohol consumption and perceiving frequent HIV information were inversely associated with retention. In conclusion, a high attrition was found among people attending HIV testing participating in a prospective cohort in Kinshasa. Considering the low retention rates and the predictors found in this study, more HIV cohort studies in Kinshasa need to be evaluated to identify local factors and strategies that could improve retention if needed.

Time Until Loss to Follow-Up, Incidence, and Predictors Among Adults Taking ART at Public Hospitals in Southern Ethiopia

Introduction

According to the World Health Organization, more than seventeen million people were accessing ART in 2015 globally. Adherence to effective ART reduced the risk of transmitting the virus to uninfected persons. The government and other stakeholders’ focus was high to reduce the rate of loss to follow-up in HIV programs among patients who are already on ART follow-up, but its incidence rate increases from time to time.

Methods

A retrospective cohort study was conducted among the records enrolled from 1 January 2013 to 30 December 2017 at Public hospitals in Southern Ethiopia. Data were entered into Epi info V 7 and exported to STATA V 14 for analysis. The Kaplan–Meier survival curve together with a log rank test was used to estimate the survival time of the ART attending patients. Variables which had p-value <0.05 in multivariable analysis using the cox proportional hazard model were declared as statistically significant.

Results

The incidence rate of loss to follow-up from ART services among adults attending ART was 6.48 (95% CI:5.67,7.29) per 1000 person months. The cumulative survival probability at the end of the 10th, 20th, 40th and 60th follow-up month was 0.89 (95% CI:0.87,0.91), 0.82 (95% CI:0.79,0.85), 0.78 (95% CI:0.75,0.81) and 0.74 (95% CI:0.70,0.77), respectively. Distance >5 kilometers (AHR:3.71; 95% CI:2.32,5.95), not having registered phone number (AHR:2.52; 95% CI:1.76,3.60), not initiating Isoniazid (AHR:2.15; 95% CI:1.50,3.08), body mass index <18.50kg/m² (AHR:1.87; 95% CI: 1.18; 2.97) and not having primary caregiver (AHR: 2.59; 95% CI: 1.84, 3.66) were statistically significant predictors of loss to follow-up.

Conclusion

The time until loss to follow-up was high in the first 20 months of the initiation of the ART and it declines after 20 months; longer distance between home and hospital, not having registered phone number, not initiating INH, lower body mass index and not having primary caregiver were the independent predictors of loss to follow-up from ART services.

Prospective assessment of loss to follow-up: incidence and associated factors in a cohort of HIV-positive adults in rural Tanzania

Introduction

Lifelong antiretroviral therapy (ART) improves health outcomes for HIV‐positive individuals, but is jeopardized by irregular clinic attendance and hence poor adherence. Loss to follow‐up (LTFU) is typically defined retrospectively but this may lead to biased inferences. We assessed incidence of and factors associated with LTFU, prospectively and accounting for recurrent LTFU episodes, in the Kilombero and Ulanga Antiretroviral Cohort (KIULARCO) of HIV‐positive persons in rural Tanzania.

Methods

We included adults (≥15 years) enrolled in 2005 to 2016, regardless of ART status, with follow‐up through April 2017. LTFU was defined as >60 days late for a scheduled appointment. Participants could experience multiple LTFU episodes. We performed analyses based on the first (prospective) and last (retrospective) events observed during follow‐up, and accounting for recurrent LTFU episodes. Time to LTFU was estimated using cumulative incidence functions. We assessed factors associated with LTFU using cause‐specific proportional hazards, marginal means/rates, and Prentice, Williams and Peterson models.

Results

Among 8087 participants (65% female, 60% aged ≥35 years, 42% WHO stage 3/4, and 47% CD4 count <200 cells/mm³), there were 8140 LTFU episodes, after which there were 2483 (31%) returns to care. One‐year LTFU probabilities were 0.41 (95% confidence interval 0.40, 0.42) and 0.21 (0.20, 0.22) considering the first and last events respectively. Factors associated with LTFU were broadly consistent across different models: being male, younger age, never married, living far from the clinic, not having an HIV‐positive partner, lower BMI, advanced WHO stage, not having tuberculosis, and shorter time since ART initiation. Associations between LTFU and pregnancy, CD4 count, and enrolment year depended on the analysis approach.

Conclusions

LTFU episodes were common and prompt tracing efforts are urgently needed. We identified socio‐demographic and clinical characteristics associated with LTFU that can be used to target tracing efforts and to help inform the design of appropriate interventions. Incidence of and risk factors for LTFU differed based on the LTFU definition applied, highlighting the importance of appropriately accounting for recurrent LTFU episodes. We recommend using a prospective definition of LTFU combined with recurrent event analyses in cohorts where repeated interruptions in care are common.

Risk factors for loss to follow-up from antiretroviral therapy programmes in low-income and middle-income countries

INTRODUCTION

Loss to follow-up (LTFU) rates from antiretroviral treatment (ART) programmes in low- and middle-income countries (LMIC) are high, leading to poor treatment outcomes and onward transmission of HIV. Knowledge of risk factors is required to address LTFU. In this systematic review, risk factors for LTFU are identified and meta-analyses performed.

METHODS

PubMed, Embase, Psycinfo and Cochrane were searched for studies that report on potential risk factors for LTFU in adults who initiated ART in LMICs. Meta-analysis was performed for risk factors evaluated by at least five studies. Pooled effect estimates and their 95% confidence intervals (95% CI) were calculated using random effect models with inverse variance weights. Risk of bias was assessed and sensitivity analyses performed.

RESULTS

Eighty studies were included describing a total of 1 605 320 patients of which 87.4% from sub-Saharan Africa. The following determinants were significantly associated with an increased risk of LTFU in meta-analysis: male sex, older age, being single, unemployment, lower educational status, advanced WHO stage, low weight, worse functional status, poor adherence, nondisclosure, not receiving cotrimoxazole prophylactic therapy when indicated, receiving care at secondary level and more recent year of initiation. No association was seen for CD4 cell count, tuberculosis at baseline, regimen, and geographical setting.

CONCLUSION

There are several sociodemographic, clinical, patient behaviour, treatment-related and system level risk factors for LTFU from ART programs. Knowledge of risk factors should be used to better target retention interventions and develop tools to identify high-risk patients.

HIV patients retention and attrition in care and their determinants in Ethiopia: a systematic review and meta-analysis

BACKGROUND

There is paucity of evidence on the magnitude of HIV patients' retention and attrition in Ethiopia. Hence, the aim of this study was to determine the pooled magnitude of HIV patient clinical retention and attrition and to identify factors associated with retention and attrition in Ethiopia.

METHODS

Systematic review and meta-analysis were done among studies conducted in Ethiopia using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. Both published and unpublished studies conducted from January 1, 2005 to June 6th, 2019 were included. Major databases and search engines such as Google Scholar, PUBMED, African Journals Online (AJOL) and unpublished sources were searched to retrieve relevant articles. Data were assessed for quality, heterogeneity and publication bias. Analysis was conducted using STATA version 14 software.

RESULT

From a total of 45 studies 546,250 study participants were included in this review. The pooled magnitude of retention in care among HIV patients was 70.65% (95% CI, 68.19, 73.11). The overall magnitude of loss to follow up 15.17% (95% CI, 11.86, 18.47), transfer out 11.17% (95% CI, 7.12, 15.21) and death rate were 6.75% (95% CI, 6.22, 7.27). Major determinants of attrition were being unmarried patient (OR 1.52, 95% CI: 1.15-2.01), non-disclosed HIV status (OR 6.36, 95% CI: 3.58-11.29), poor drug adherence (OR 6.60, 95% CI: 1.41-30.97), poor functional status (OR 2.11, 95% CI: 1.33-3.34), being underweight (OR 2.21, 95% CI: 1.45-3.39) and advanced clinical stage (OR 1.85, 95% CI: 1.36-2.51). Whereas absence of opportunistic infections (OR 0.52, 95% CI: 0.30-0.9), normal hemoglobin status (OR 0.29, 95% CI: 0.20-0.42) and non-substance use (OR 95% CI: 0.41, 0.17-0.98) were facilitators of HIV patient retention in clinical care.

CONCLUSION

The level of retention to the care among HIV patients was low in Ethiopia. Socio-economic, clinical, nutritional and behavioral, intervention is necessary to achieve adequate patient retention in clinical care.

Level of quality of option B+PMTCT service provision in public health facilities in Mekelle zone, northern Ethiopia: cross-sectional study

Background

Substantial improvements have been observed in coverage and access to maternal health services in Ethiopia. However, the quality of care has been lagging behind. Therefore, this study aimed to assess the level of quality of Option B⁺ PMTCT in Northern Ethiopia.

Methods

A facility based survey was conducted from February to April 2016 in Northern Ethiopia. Twelve health facilities were enrolled in the study. Mixed method approach was used in line with Donabedian (Input- Process-Output) service quality assessment model. Data of 168 HIV positive mothers & their infant were abstracted from registers, and follow up charts. During the Option B+ service consultation, a total of 60 sessions were involved for direct observation. Of which, 30 clients and 12 service providers were subjected for exit and in-depth interview respectively. Facilities were categorized rendering good service quality based on predetermined quality judgment criteria. Reasons of good and bad service quality were thematically fitted with each quality component based on emerging themes (TM1-TM3), and categories (CA1-CA6).

Results

Of the total 12 study health facilities, 2(16.7%) were achieved the desired level of service quality based on the three quality components. The input quality was better and judged as good in 33.3% health facilities. However; process and output service quality were realized in one - fourth of them.

Conclusion

Insignificant numbers of facilities fulfilled the aspired level of service quality. Quality of care was found influenced by multiple inputs, processes, and output related barriers and facilitators. Comprehensive Program monitoring is needed based on three quality components to improve the overall service quality.

Predictors of lost to follow-up in a "test and treat" programme among adult women with high-risk sexual behavior in Kampala, Uganda

BACKGROUND

Immediate uptake of antiretroviral therapy (ART) after an HIV-positive diagnosis (Test and Treat) is now being implemented in Uganda. Data are limited on lost to follow-up (LTFU) in high-risk cohorts that have initiated 'Test and Treat'. We describe LTFU in a cohort of women of high-risk sexual behaviour who initiated ART under "Test and Treat".

METHODS

We performed a retrospective cohort study of participant records at the Good Health for Women Project (GHWP) clinic, a clinic in Kampala for women at high-risk of HIV-infection. We included HIV positive women ≥18 years who initiated ART at GHWP between August 2014 and March 2018. We defined LTFU as not taking an ART refill for ≥3 months from the last clinic appointment among those not registered as dead or transferred to another clinic. We used the Kaplan-Meier technique to estimate time to LTFU after ART initiation. Predictors of LTFU were assessed using a multivariable Cox proportional hazards model.

RESULTS

The mean (±SD) age of the 293 study participants was 30.3 (± 6.5) years, with 274 (94%) reporting paid sex while 38 (13%) had never tested for HIV before enrolment into GHWP. LTFU within the first year of ART initiation was 16% and the incidence of LTFU was estimated at 12.7 per 100 person-years (95%CI 9.90-16.3). In multivariable analysis, participants who reported sex work as their main job at ART initiation (Adjusted Hazards Ratio [aHR] =1.95, 95%CI 1.10-3.45), having baseline WHO clinical stage III or IV (aHR = 2.75, 95% CI 1.30-5.79) were more likely to be LTFU.

CONCLUSION

LTFU in this cohort is high. Follow up strategies are required to support women on Test and Treat to remain on treatment, especially those who engage in sex work and those who initiate ART at a later stage of disease.

Incidence and predictors of loss to follow up among adult HIV patients on antiretroviral therapy in University of Gondar Comprehensive Specialized Hospital: A competing risk regression modeling

INTRODUCTION

Loss to follow up after the initiation of antiretroviral therapy (ART) is common in Africa, particularly in Ethiopia and it is a considerable obstacle for the effectiveness of the ART program. Mortality is a competing risk of loss to follow up but it is often overlooked and there is limited evidence about the incidence and predictors of loss to follow up in the presence of competing events.

OBJECTIVE

To assess the Incidence and predictors of loss to follow up among adult HIV patients on ART in University of Gondar Comprehensive Specialized Hospital between January 1, 2015, and December 31, 2018.

METHODS

Institution based retrospective follow up study was conducted in University of Gondar Comprehensive Specialized Hospital. A Gray's test and cumulative incidence curve were used to compare the cumulative incidence function of loss to follow up. Bivariable and multivariable competing risk regression models were fitted to identify the predictors of lost to follow up and those variables with p-value <0.05 in the multivariable analysis was considered as significant predictors of lost to follow up.

RESULT

A total of 531 adult HIV patients on ART were included in the analysis. The incidence rate of loss to follow up in this study was 10.90 (95% CI: 8.9-13.2) per 100 person years. Being age group 15-30 years (aSHR = 2.01; 95%CI;1.11-3.63), being daily laborer(aSHR = 2.60; 95%CI;1.45-4.66), not receiving cotrimoxazole preventive therapy (aSHR = 2.66; 95%CI;1.68-4.21), not receiving isoniazid preventive therapy(aSHR = 4.57; 95% CI;1.60-13.08), ambulatory functional status (aSHR = 1.61; 95% CI; 1.02-2.51) and taking AZT-3TC-NVP medication at start of ART(aSHR = 2.01; 95% CI; 1.16-3.78) were significant predictors of lost to follow up.

CONCLUSION

In this study the incidence of lost to follow up was high. Young people, daily laborer, ambulatory patients and those taking AZT-3TC-NVP as well as those who did not take opportunistic prophylaxis were at higher risk of loss to follow up. Therefore, giving special attention to the high-risk groups for lost to follow up highlighted in this study could decrease the rate of LTFU.

Long-term loss to follow-up in the TREAT Asia HIV Observational Database (TAHOD)

OBJECTIVES

With earlier antiretroviral therapy (ART) initiation, time spent in HIV care is expected to increase. We aimed to investigate loss to follow-up (LTFU) in Asian patients who remained in care 5 years after ART initiation.

METHODS

Long-term LTFU was defined as LTFU occurring after 5 years on ART. LTFU was defined as (1) patients not seen in the previous 12 months; and (2) patients not seen in the previous 6 months. Factors associated with LTFU were analysed using competing risk regression.

RESULTS

Under the 12-month definition, the LTFU rate was 2.0 per 100 person-years (PY) [95% confidence interval (CI) 1.8-2.2 among 4889 patients included in the study. LTFU was associated with age > 50 years [sub-hazard ratio (SHR) 1.64; 95% CI 1.17-2.31] compared with 31-40 years, viral load ≥ 1000 copies/mL (SHR 1.86; 95% CI 1.16-2.97) compared with viral load < 1000 copies/mL, and hepatitis C coinfection (SHR 1.48; 95% CI 1.06-2.05). LTFU was less likely to occur in females, in individuals with higher CD4 counts, in those with self-reported adherence ≥ 95%, and in those living in high-income countries. The 6-month LTFU definition produced an incidence rate of 3.2 per 100 PY (95% CI 2.9-3.4 and had similar associations but with greater risks of LTFU for ART initiation in later years (2006-2009: SHR 2.38; 95% CI 1.93-2.94; and 2010-2011: SHR 4.26; 95% CI 3.17-5.73) compared with 2003-2005.

CONCLUSIONS

The long-term LTFU rate in our cohort was low, with older age being associated with LTFU. The increased risk of LTFU with later years of ART initiation in the 6-month analysis, but not the 12-month analysis, implies that there was a possible move towards longer HIV clinic scheduling in Asia.