Predictors of Loss to Follow-up Among HIV-infected Patients in a Rural South-Eastern Nigeria Hospital: A 5-year Retrospective Cohort Study

Retention in Care Among People Living with HIV in Nigeria: A Systematic Review and Meta-analysis

BACKGROUND

In 2021, Nigeria had an estimated 1.9 million people living with the human immunodeficiency virus (PLHIV) and 1.7 million (90%) on antiretroviral therapy (ART). Study Design: A systematic review and meta-analysis.

METHODS

This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2020 guidelines. We searched PubMed, Embase, PsychINFO, CINAHL, Global Index Medicus, and Cochrane Library. Studies were included if they reported on ART retention in care among PLHIV in Nigeria. The random-effects meta-analyses were used to combine the studies that had complete retention data. The I2 statistic was used to assess the heterogeneity of the studies. A sensitivity analysis was then done by conducting a leave-one-out analysis. Afterward, data were analyzed using STATA version 18.

RESULTS

The search yielded 966 unique articles, of which 52 studies met the inclusion criteria for the meta-analysis, and four experimental studies were split into their component arms. The total number of study participants was 563,410, and the pooled retention rate was 72% (95% CI: 67%, 76%; I2=99.9%; n=57). Sub-analysis showed that the Southeast region of Nigeria had the highest retention of 86% (95% CI: 78%, 92%), and the South-South had the lowest retention (58%; 95% CI: 38%, 79%).

CONCLUSION

In Nigeria, the pooled ART retention rate is less than optimal to achieve the UNAIDS goal of 95%, thus developing new models for ART retention is needed.

Effect of Test and Treat on clinical outcomes in Nigeria: A national retrospective study

BACKGROUND

In Nigeria, results from the pilot of the Test and Treat strategy showed higher loss to follow up (LTFU) among people living with HIV compared to before its implementation. The aim of this evaluation was to assess the effects of antiretroviral therapy (ART) initiation within 14 days on LTFU at 12 months and viral suppression.

METHODS

We conducted a retrospective cohort study using routinely collected de-identified patient-level data hosted on the Nigeria National Data Repository from 1,007 facilities. The study population included people living with HIV age ≥15. We used multivariable Cox proportional frailty hazard models to assess time to LTFU comparing ART initiation strategy and multivariable log-binomial regression for viral suppression.

RESULTS

Overall, 26,937 (38.13%) were LTFU at 12 months. Among individuals initiated within 14 days, 38.4% were LTFU by 12 months compared to 35.4% for individuals initiated >14 days (p<0.001). In the adjusted analysis, individuals who were initiated ≤14 days after HIV diagnosis had a higher hazard of being LTFU (aHR 1.15, 95% CI 1.10-1.20) than individuals initiated after 14 days of HIV diagnosis. Among individuals with viral load results, 86.2% were virally suppressed. The adjusted risk ratio for viral suppression among individuals who were initiated ≤14 days compared to >14 days was not statistically significant.

CONCLUSION

LTFU was higher among individuals who were initiated within 14 days compared to greater than 14 days after HIV diagnosis. There was no difference for viral suppression. The provision of early tailored interventions to support newly diagnosed people living may contribute to reducing LTFU.

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.

A Qualitative Study Exploring Factors Associated with Retention in HIV Care among Women with HIV in a Large HIV Clinic in Lagos, Nigeria, after Implementing the Test and Treat Policy

Background

In Nigeria, various sociocultural and economic factors may prevent women from being retained in HIV care. This study explores the factors associated with retention in care among women with HIV in a large HIV clinic in Lagos, Nigeria, under the Test and Treat policy.

Methods

Women living with HIV/AIDS (n = 24) enrolled in an HIV study at the AIDS Prevention Initiative in Nigeria (APIN) clinic in Lagos, Nigeria, were interviewed from April 1 to October 31, 2021, using a semistructured interview guide. Interviews were audio-taped, transcribed verbatim, and the themes were analyzed using the framework of Andersen and Newman's Behavioural Model for Healthcare Utilization.

Results

The mean age of the respondents was 37.4 ± 9.27 years. The identified themes were as follows: being aware of the antiretroviral medications and their benefits, the household's awareness of the respondents' HIV status, and the presence of social support. Other themes were the presence of a dependable source of income and the ability to overcome the challenges encountered in obtaining income, ease of travel to and from the clinic (length of travel time and transportation costs), securing support from the clinic, challenges encountered in the process of accessing care at the clinic, and the ability to overcome these challenges. Also mentioned were self-perception of being HIV positive, motivation to remain in care, linkage to care, and intention to stay in care.

Conclusion

Several deterring factors to retention in HIV care, such as nondisclosure of status, absence of social support, and clinic barriers, persist under the Test and Treat policy. Therefore, to achieve the "treatment as prevention" for HIV/AIDS, especially in sub-Saharan Africa, it is essential to employ strategies that address these barriers and leverage the facilitators for better health outcomes among women with HIV/AIDS.

Time to lost to follow-up and its predictors among adult patients receiving antiretroviral therapy retrospective follow-up study Amhara Northwest Ethiopia

Antiretroviral therapy lowers viral load only when people living with HIV maintain their treatment retention. Lost to follow-up is the persistent major challenge to the success of ART program in low-resource settings including Ethiopia. The purpose of this study is to estimate time to lost to follow-up and its predictors in antiretroviral therapies amongst adult patients. Among registered HIV patients, 542 samples were included. Data cleaning and analysis were done using Stata/SE version 14 software. In multivariable Cox regression, a p-value < 0.05 at 95% confidence interval with corresponding adjusted hazards ratio (AHR) were statistically significant predictors. In this study, the median time to lost to follow-up is 77 months. The incidence density of lost to follow-up was 13.45 (95% CI: 11.78, 15.34) per 100 person-years. Antiretroviral therapy drug adherence [AHR: 3.04 (95% CI: 2.18, 4.24)], last functional status [AHR: 2.74 (95% CI: 2.04, 3.67)], and INH prophylaxis [AHR: 1.65 (95% CI: 1.07, 2.56) were significant predictors for time to lost to follow-up. The median time to lost was 77 months and incidence of lost to follow-up was high. Health care providers should be focused on HIV counseling and proper case management focused on identified risks.

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.

Effect of Baseline Symptom Manifestations on Retention in Care and Treatment among HIV-Infected Patients in Nigeria

BACKGROUND

Symptom management is an important component of HIV care. But symptom patterns and how they affect engagement with HIV care and treatment services have not been adequately explored in the era of increased HIV treatment scale-up. We investigated the relationship between symptom patterns among people living with HIV (PLHIV) and 12 months retention in care, within the context of other clinical and demographic characteristics.

METHODS

Retrospective cohort analysis of 5114 PLHIV receiving care within a large HIV treatment program in Nigeria. We assessed the prevalence and burden of baseline symptoms reported during routine clinic visits from January 2015 to December 2017. Multivariable regression was used to identify relationships between 12-month retention and symptom dimensions (prevalence and burden) while controlling for demographic and other clinical variables.

RESULTS

Increasing symptom burden was associated with higher likelihood of retention at 12 months (adjusted odds ratio [aOR] = 1.19 [95% confidence interval, CI: 1.09-1.29]; P < .001) as was the reporting of skin rashes/itching symptom (aOR = 2.59 [95% CI: 1.65-4.09]; P < .001). Likelihood of retention reduced with increasing World Health Organization (WHO) Clinical staging, with CD4 ≥500 cells/mL and self-reported heterosexual mode of HIV transmission. Conclusions: Symptom dimensions and standardized clinical/immunological measures both predicted retention in care, but effects differed in magnitude and direction. Standardized clinical/immunological measures in HIV care (eg, WHO clinical staging and CD4 count categories) can mask important differences in how PLHIVs experience symptoms and, therefore, their engagement with HIV care and treatment. Symptom management strategies are required alongside antiretroviral treatment to improve outcomes among PLHIV, including retention in care.

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.

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.

Rates and predictors of adherence and retention for antiretroviral therapy among HIV-positive adults in Enugu, Nigeria

Background

HIV infection and AIDS are majorpublic health challenges in Nigeria, a country with one of the highest rates of new infection in sub-Saharan Africa and the second largest HIV epidemic in the world.Non-adherence to medication and defaulting from treatment are the two major challenges faced by anti-retroviral therapy (ART) programs in resource-constrained settings. This study was undertaken to determine the rate and predictors of adherence to medication and retention among people living with HIVin Enugu State, Nigeria.

Methods

This was a cross-sectionalretrospective study conducted among adults living with HIV(PLHIV) receiving ARTs in eightcomprehensive health facilities in Enugu, Nigeria. We used self-reported adherence and recorded clinic visits to assess adherence and retention, respectively. Descriptive statistics (frequencies, proportions, mean and standard deviation) and regression analysis were then conducted to identify the association between adherence, retention and demographic and health-related factors.

Results

The mean age of respondents was 38.5±9.8 years. Predictors of good adherence to medication includedbeing male(adjusted odds ratio [AOR]:2.08; 95% confidence interval [CI]:1.12-3.85), having been on anti-retroviral medications for more than 5 years (AOR:1.92; 95% CI: 1.17-3.16), the non-consumption of alcohol(AOR: 3.67; 95% CI: 2.01-6.70), not usingtraditional medicine (AOR: 2.76; 95% CI:1.33-5.73) and having a baseline CD4count exceeding 500 cells/µl (AOR: 5.67; 95% CI: 1.32-24.32).Adequate retention was predicted by being resident in the urban area (AOR: 1.90; 95% CI: 1.17-3.06). Being away from home (41.8%) and forgetfulness (35.0%) were reported as the major reasons for missing medication.

Conclusion

The rates of adherence and retention found in this study were similar to those reported forother resource-limited settings. Health education and behavioural modification interventions should be intensified to reduce the consumption of alcohol and the use of traditional medicine by people living with HIV. Identifying other factors may help to design effective strategies to ensure that people living with HIV adhere to their medications and remain in care.

Social barriers in accessing care by clients who returned to HIV care after transient loss to follow-up

Background

People living with HIV (PLHIV) constantly need to address social issues such as the cost of accessing care, stigma, and lack of social support which impacts on their level of adherence to clinic visits or antiretroviral treatment leading to adverse health outcomes. This study examined the social barriers in accessing care by clients who returned to care after transient loss to follow-up.

Methods

This study was a cross-sectional survey of PLHIV from 99 US CDC PEPFAR-supported HIV clinics located in 10 of Nigeria’s 36 states and Federal Capital Territory, who were momentarily lost to follow-up but returned to care after tracking. Demographic and social factors at bivariate and multivariate level were analyzed to determine the predictors of difficulty in accessing HIV clinics.

Results

Of the 7483 clients tracked, 1386 (18.5%) were confirmed to be in care, 2846 (38.2%) were lost to follow-up (LTFU), 562 (7.5%) returned to care, 843 (11.2%) discontinued care, 827 (11.1%) transferred out to other facilities for care, 514 (6.8%) had died while 505 (6.7%) could not be reached by phone or located at their addresses. 438 out of the 562 (78%) returnee PLHIV gave consent and participated in the study. 216 out of the 438 (50%) clients who returned to care were transiently lost to follow-up because they had difficulty accessing their HIV clinic. Also, 126/438 (29%) of returnee PLHIV were previously lost to follow-up. Difficult access to a HIV clinic was significantly influenced by prior LTFU (OR 2.5 [95% CI 1.3–4.8], p = 0.008), history of being stigmatized (OR 2.1 [95% CI 1.1–3.8], p = 0.02), lack of social or financial support (OR 2.8 [95% CI 1.3–6.0], p = 0.01) and perceived in-adequate healthcare workers support (OR 3.8 [95% CI 1.2–11.2], p = 0.02). Age (p = 0.218) and gender (p = 0.771) were not significant determinants of difficult access to an HIV clinic.

Conclusion

Stigma, lack of support and prior loss to follow-up event are essential factors affecting retention in care. Social constructs such as home-based visits, community-based care services, transportation subsidies, and robust strong social systems should be built into HIV service delivery models to improve retention in care of people on HIV treatment. The authors advocate for further studies on how differentiated care models impact on retention of patients in care.