Challenges with tracing patients on antiretroviral therapy who are late for clinic appointments in rural South Africa and recommendations for future practice

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

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

Moving towards a person-centred HIV care cascade: An exploration of potential biases and errors in routine data in South Africa

In 2022, in recognition of lags in data infrastructure, the World Health Organisation (WHO) recommended the use of routinely linked individual patient data to monitor HIV programmes. The WHO also recommended a move to person-centred care to better reflect the experiences of people living with HIV. The switch from aggregated service level data to person-centred data will likely introduce some biases and errors. However, little is understood about the direction and magnitude of these biases. We investigated HIV-testing and HIV-care engagement from 2014 to 2018 in the Agincourt Health and Demographic Surveillance System (HDSS). We digitised and linked HIV patient clinic records to HDSS population data in order to estimate biases in routine clinical data. Using this linked data, we followed all individuals linked to HIV-related clinic data throughout their care pathway. We built sequences to represent these pathways. We performed sequence and cluster analyses for all individuals to categorise patterns of care engagement and identified factors associated with different engagement patterns using multinomial logistic regression. Our analyses included 4947 individuals who were linked to 5084 different patient records. We found that routine data would have inflated patient numbers by 2% due to double counting. We also found that 2% of individuals included in our analyses had received multiple HIV tests. These phenomena were driven by undocumented transfers. Further analysis of engagement patterns found a low level of stable engagement in care (<33%). Engagement fell into three distinct clusters: (i) characterised by high rates of late ART initiation, unstable engagement in care, and high mortality (53.9%), (ii) characterised by early ART initiation followed by prolonged periods of LTFU (13.7%), and (iii) characterised by early ART initiation followed by stable engagement in care (32.4%). Compared to cluster (i) older individuals were less likely to be in cluster (ii) and more likely to be in cluster (iii). Those who initiated ART prior to 2016 were more likely to be in cluster (ii) and (iii) compared to cluster (i). Those who initiated ART for PMTCT (RRR: 1.88 (95% CI: 1.45, 2.44)) or TB coinfection (RRR: 2.11 (95% CI: 1.27, 3.50)) were more likely to be in cluster (ii) when compared to those who initiated ART due to CD4 eligibility criteria. Males (RRR: 0.63 (95% CI: 0.51, 0.77)) were less likely to be in cluster (iii) compared to cluster (i) as were those who initiated ART for PMTCT (RRR: 0.77 (95% CI: 0.62, 0.97)) or under test and treat guidelines when compared to those who initiated ART due to CD4 eligibility. Only a minority of patients are consistently engaged in care while the majority cycle between engagement and disengagement. Individual level data could be useful in monitoring programmes and accurately reporting patient figures if it is of high quality, has minimal missingness and is properly linked in order to account for biases that accrue from using this kind of data.

Historical visit attendance as predictor of treatment interruption in South African HIV patients: Extension of a validated machine learning model

Retention of antiretroviral (ART) patients is a priority for achieving HIV epidemic control in South Africa. While machine-learning methods are being increasingly utilised to identify high risk populations for suboptimal HIV service utilisation, they are limited in terms of explaining relationships between predictors. To further understand these relationships, we implemented machine learning methods optimised for predictive power and traditional statistical methods. We used routinely collected electronic medical record (EMR) data to evaluate longitudinal predictors of lost-to-follow up (LTFU) and temporal interruptions in treatment (IIT) in the first two years of treatment for ART patients in the Gauteng and North West provinces of South Africa. Of the 191,162 ART patients and 1,833,248 visits analysed, 49% experienced at least one IIT and 85% of those returned for a subsequent clinical visit. Patients iteratively transition in and out of treatment indicating that ART retention in South Africa is likely underestimated. Historical visit attendance is shown to be predictive of IIT using machine learning, log binomial regression and survival analyses. Using a previously developed categorical boosting (CatBoost) algorithm, we demonstrate that historical visit attendance alone is able to predict almost half of next missed visits. With the addition of baseline demographic and clinical features, this model is able to predict up to 60% of next missed ART visits with a sensitivity of 61.9% (95% CI: 61.5-62.3%), specificity of 66.5% (95% CI: 66.4-66.7%), and positive predictive value of 19.7% (95% CI: 19.5-19.9%). While the full usage of this model is relevant for settings where infrastructure exists to extract EMR data and run computations in real-time, historical visits attendance alone can be used to identify those at risk of disengaging from HIV care in the absence of other behavioural or observable risk factors.

Record linkage without patient identifiers: proof of concept using data from South Africa's national HIV program

Background

Linkage between health databases typically requires identifiers such as patient names and personal identification numbers. We developed and validated a record linkage strategy to combine administrative health databases without the use of patient identifiers, with application to South Africa's public sector HIV treatment program.

Methods

We linked CD4 counts and HIV viral loads from South Africa's HIV clinical monitoring database (TIER.Net) and the National Health Laboratory Service (NHLS) for patients receiving care between 2015-2019 in Ekurhuleni District (Gauteng Province). We used a combination of variables related to lab results contained in both databases (result value; specimen collection date; facility of collection; patient year and month of birth; and sex). Exact matching linked on exact linking variable values while caliper matching applied exact matching with linkage on approximate test dates (± 5 days). We then developed a sequential linkage approach utilising specimen barcode matching, then exact matching, and lastly caliper matching. Performance measures were sensitivity and positive predictive value (PPV); share of patients linked across databases; and percent increase in data points for each linkage approach.

Results

We attempted to link 2,017,290 lab results from TIER.Net (representing 523,558 unique patients) and 2,414,059 lab results from the NHLS database. Linkage performance was evaluated using specimen barcodes (available for a minority of records in TIER.net) as a "gold standard". Exact matching achieved a sensitivity of 69.0% and PPV of 95.1%. Caliper-matching achieved a sensitivity of 75.7% and PPV of 94.5%. In sequential linkage, we matched 41.9% of TIER.Net labs by specimen barcodes, 51.3% by exact matching, and 6.8% by caliper matching, for a total of 71.9% of labs matched, with PPV=96.8% and Sensitivity = 85.9%. The sequential approach linked 86.0% of TIER.Net patients with at least one lab result to the NHLS database (N=1,450,087). Linkage to the NHLS Cohort increased the number of laboratory results associated with TIER.Net patients by 62.6%.

Conclusions

Linkage of TIER.Net and NHLS without patient identifiers attained high accuracy and yield without compromising patient privacy. The integrated cohort provides a more complete view of patients' lab history and could yield more accurate estimates of HIV program indicators.

Does a youth intern programme strengthen HIV service delivery in South Africa? An interrupted time-series analysis

INTRODUCTION

Since 2018, Youth Health Africa (YHA) has placed unemployed young adults at health facilities across South Africa in 1-year non-clinical internships to support HIV services. While YHA is primarily designed to improve employment prospects for youth, it also strives to strengthen the health system. Hundreds of YHA interns have been placed in programme (e.g. HIV testing and counselling) or administrative (e.g. data and filing) roles, but their impact on HIV service delivery has not been evaluated.

METHODS

Using routinely collected data from October 2017 to March 2020, we conducted an interrupted time-series analysis to explore the impact of YHA on HIV testing, treatment initiation and retention in care. We analysed data from facilities in Gauteng and North West where interns were placed between November 2018 and October 2019. We used linear regression, accounting for facility-level clustering and time correlation, to compare trends before and after interns were placed for seven HIV service indicators covering HIV testing, treatment initiation and retention in care. Outcomes were measured monthly at each facility. Time was measured as months since the first interns were placed at each facility. We conducted three secondary analyses per indicator, stratified by intern role, number of interns and region.

RESULTS

Based on 207 facilities hosting 604 interns, YHA interns at facilities were associated with significant improvements in monthly trends for numbers of people tested for HIV, newly initiated on treatment and retained in care (i.e. loss to follow-up, tested for viral load [VL] and virally suppressed). We found no difference in trends for the number of people newly diagnosed with HIV or the number initiating treatment within 14 days of diagnosis. Changes in HIV testing, overall treatment initiation and VL testing/suppression were most pronounced where there were programme interns and a higher number of interns; change in loss to follow-up was greatest where there were administrative interns.

CONCLUSIONS

Placing interns in facilities to support non-clinical tasks may improve HIV service delivery by contributing to improved HIV testing, treatment initiation and retention in care. Using youth interns as lay health workers may be an impactful strategy to strengthen the HIV response while supporting youth employment.

Investigating clinic transfers among HIV patients considered lost to follow-up to improve understanding of the HIV care cascade: Findings from a cohort study in rural north-eastern South Africa

Investigating clinical transfers of HIV patients is important for accurate estimates of retention and informing interventions to support patients. We investigate transfers for adults reported as lost to follow-up (LTFU) from eight HIV care facilities in the Agincourt health and demographic surveillance system (HDSS), South Africa. Using linked clinic and HDSS records, outcomes of adults more than 90 days late for their last scheduled clinic visit were determined through clinic and routine tracing record reviews, HDSS data, and supplementary tracing. Factors associated with transferring to another clinic were determined through Cox regression models. Transfers were graphically and geospatially visualised. Transfers were more common for women, patients living further from the clinic, and patients with higher baseline CD4 cell counts. Transfers to clinics within the HDSS were more likely to be undocumented and were significantly more likely for women pregnant at ART initiation. Transfers outside the HDSS clustered around economic hubs. Patients transferring to health facilities within the HDSS may be shopping for better care, whereas those who transfer out of the HDSS may be migrating for work. Treatment programmes should facilitate transfer processes for patients, ensure continuity of care among those migrating, and improve tracking of undocumented transfers.

Missing appointments by patients on antiretroviral therapy: Professional nurses’ perspective

Background: Missed appointments for medicine pick-ups are regarded as a predictor of poor adherence, and should trigger immediate questions about issues that may affect follow-up visits to healthcare settings.Objectives: The study explored and described professional nurses’ perspectives about the factors that contribute to missing appointments by people living with Human Immunodeficiency Virus (PLWHIV) on antiretroviral therapy (ART) at Mopani and Vhembe district in Limpopo Province.Method: A qualitative explorative contextual approach was used for the study. Non-probability, purposive sampling was used to select 14 professional nurses who met the inclusion criteria. Data were collected through face-to-face unstructured interviews. One central question was asked and probing questions were based on the participants’ responses to the central question. Thematic analysis of the findings was carried out. Trustworthiness was ensured through intercoder agreement, audio recording, triangulation, bracketing, and member checking. Required permission, approval, and ethical clearance were also ensured.Results: Organisational health system and management of the healthcare facility were found to be the barriers that negatively impacted on the ability of the PLWHIV on ART to maintain clinic visits appointments. Lack of patient involvement, stereotyped appointment dates selection, poor patient-provider relationships, errors of recording appointment dates and long waiting times came up as sub-themes derived from the main theme.Conclusion: The results suggest that there is a need to increase and improve mutual trust in patient-provider relationships, improve nurses working conditions, develop proper booking systems and reduce clinic waiting hours.

Effects of COVID-19 pandemic on ART Service delivery: perspectives of healthcare workers in a Teaching Hospital in Ghana

BACKGROUND

Ghana has a generalized HIV epidemic and efforts have been made to curb the spread and reverse its effects on the general population. In the wake of COVID-19 pandemic, the health system was unsettled and antiretroviral therapy (ART) care has been impacted in diverse ways. The study sought to explore the effects of COVID-19 on ART service provision in Ghana from the perspectives of the healthcare workers.

METHODS

An exploratory-descriptive qualitative approach was employed in this study. Using maximum variation sampling method, fifteen healthcare workers; nurses, data managers and pharmacists were recruited from an ART clinic in a Teaching Hospital in Ghana. In-depth interviews were conducted and analysed using Braun and Clarke thematic approach.

RESULTS

Three themes emerged from the data; "… And the pandemic struck", "Impact of the pandemic on ART service delivery"; "Effecting the needed change". The healthcare workers' initial reactions to the pandemic and their show of commitment in ensuring continued ART service was evident. COVID-19 impacted service delivery in three main ways; (1) clients' clinic attendance was erratic at various stages of the pandemic, (2) irregular resource availability as shortage was reported due to affected last mile delivery as a result of the lockdown in Accra, and (3) the health worker-patient interaction became less engaging because of established COVID-19 protocols. The healthcare workers however instituted strategies such as adjusting the patient appointment schedule, health professionals' work schedule, establishing several work stations, task-shifting, and ensuring the implementation of all the COVID-19 protocols within the ART unit to ensure consistent service delivery as well as patient and staff safety. The study also found a decline in the implementation of several strategies established in the ART clinic during the initial phases of the pandemic such as a decline in the supply of Personal Protective Equipment (PPEs) by hospital management.

CONCLUSIONS

Although several strategies were implemented to manage the effects of the pandemic on ART care, there is a need to establish pathways of support for healthcare workers within the ART clinic and to consolidate as well as institutionalise the changes that ensured continuous but safe service delivery.

Tracing people living with HIV who are lost to follow-up at ART programs in Southern Africa: A sampling-based cohort study in six countries

BACKGROUND

Attrition threatens the success of antiretroviral therapy (ART). In this cohort study, we examined outcomes of people living with HIV (PLHIV) lost to follow-up (LTFU) 2014-2017 at ART programs in Southern Africa.

METHODS

We confirmed LTFU (missed appointment for ≥60 or ≥90 days, according to local guidelines) by checking medical records and used a standardized protocol to trace a weighted random sample of PLHIV who were LTFU in eight ART programs in Lesotho, Malawi, Mozambique, South Africa, Zambia and Zimbabwe, 2017-2019. We ascertained vital status and identified predictors of mortality using logistic regression, adjusted for sex, age, time on ART, time since LTFU, travel time, and urban or rural setting.

RESULTS

Among 3,256 PLHIV, 385 (12%) were wrongly categorized as LTFU and 577 (17%) had missing contact details. We traced 2,294 PLHIV (71%) by phone calls, home visits or both: 768 (34% of 2,294) were alive and in care, including 385 (17%) silent transfers to another clinic; 528 (23%) were alive without care or unknown care; 252 (11%) had died. Overall, the status of 1,323 (41% of 3,256) PLHIV remained unknown. Mortality was higher in men than women, higher in children than in young people or adults, higher in PLHIV who had been on ART <1 year or lost >1 year, living further from the clinic or in rural areas. Results were heterogeneous across sites.

CONCLUSIONS

Our study highlights the urgent need for better medical record systems at HIV clinics and rapid tracing of PLHIV who are LTFU.