Body and mind: retention in antiretroviral treatment care is improved by mental health training of care providers in Ethiopia

Socio-demographic and clinical characteristics associated with retention in care among adults living with HIV and severe mental illness and reasons for loss to follow-up in Uganda: a mixed-methods study

OBJECTIVE

This study aimed to determine the socio-demographic and clinical characteristics associated with retention in care and reasons for loss to follow-up (LTFU) among people living with HIV (PLWH) with a known diagnosis of severe mental illness (SMI).

DESIGN

We conducted a parallel convergent mixed-methods study. The quantitative study was used to determine the proportion and factors associated with retention in care among PLWH and SMI. The qualitative study explored reasons for LTFU.

SETTING

This study was conducted at two the HIV clinics of two tertiary hospitals in Uganda.

PARTICIPANTS

We reviewed records of 608 PLWH who started antiretroviral therapy (ART) and included participants who had a documented diagnosis of SMI.

OUTCOMES

The primary outcome was retention in care. Age, gender, religion, tuberculosis (TB) status, WHO clinical stage, functional status, cluster of differentiation 4 (CD4) cell count, viral load and SMI diagnosis were among the predictor variables.

RESULTS

We collected data from 328 participants. Retention at 6 months was 43.3% compared with 35.7% at 12 months. Having an unsuppressed viral load (≥1000 copies/mL) (adjusted incidence risk ratio (IRR)=1.54, 95% CI: 1.17 to 2.03), being 36 years and below (adjusted IRR=0.94, 95% CI: 0.94 to 0.95), initial presentation at outpatient department (adjusted IRR=0.74, 95% CI: 0.57 to 0.96), having TB signs and symptoms (adjusted IRR=0.98 95% CI: 0.97 to 0.99) and being in lower WHO stages (I and II) (adjusted IRR=1.08, 95% CI: 1.02 to 1.14) at ART initiation were significantly associated with retention in care at 6 and 12 months. Inadequate social support, long waiting hours at the clinic, perceived stigma and discrimination, competing life activities, low socioeconomic status and poor adherence to psychiatric medication were barriers to retention in care.

CONCLUSION

Twelve-month retention in care remains low at 35.7% far below the 90% WHO target. There is a need to design and implement targeted interventions to address barriers to retention in care among PLWH and SMI.

Mental and cognitive healthcare training targeting primary healthcare workers providing HIV services in Africa: a scoping review

Mental health and neurocognitive functioning remain a concern among people living with HIV. Symptomatic neurocognitive impairment (NCI) and mental illness can cause difficulties in daily functioning, including problems adhering to treatment. However, many healthcare workers in resource-limited settings have limited knowledge about the relationship between HIV and NCI. A synthesis of available literature on mental health and NCI training provided to healthcare workers delivering HIV services in Africa, is lacking. We conducted a scoping review of published literature to identify training interventions which targeted healthcare workers providing careto people with HIV in Africa. Ten studies met the inclusion criteria. One study focused on NCI, two studies mentioned HIV-associated dementia and seven studies were centred on common mental health disorders. Most studies used a multi-method training approach, with pre-and post-testing as the main evaluation technique. This review highlights the gap in training interventions addressing NCI in Africa. Although there is some commitment to building capacity for mental health and NCI assessment among healthcare workers in this setting, this review suggests that there is a need for research to develop and evaluate training interventions for healthcare workers delivering HIV services in Africa.

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.

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.

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.