Browsing by Author "Eshun-Wilson I"

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A controlled study to assess the effects of a Fast Track (FT) service delivery model among stable HIV patients in Lusaka Zambia.
(2022) Bolton Moore C; Pry JM; Mukumbwa-Mwenechanya M; Eshun-Wilson I; Topp S; Mwamba C; Roy M; Sohn H; Dowdy DW; Padian N; Holmes CB; Geng EH; Sikazwe I; Georgetown University, School of Medicine, Washington, DC, United States of America.; University of California, School of Medicine, San Francisco, California, United States of America.; University of California, School of Public Health, Berkeley, California, United States of America.; Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America.; University of Alabama, School of Medicine, Birmingham, Alabama, United States of America.; James Cook University, College of Public Health, Medical and Vet Sciences, Queensland, Australia.; Washington University, School of Medicine, St Louis, Missouri, United States of America.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; University of California, School of Medicine, Davis, California, United States of America.
Fast Track models-in which patients coming to facility to pick up medications minimize waiting times through foregoing clinical review and collecting pre-packaged medications-present a potential strategy to reduce the burden of treatment. We examine effects of a Fast Track model (FT) in a real-world clinical HIV treatment program on retention to care comparing two clinics initiating FT care to five similar (in size and health care level), standard of care clinics in Zambia. Within each clinic, we selected a systematic sample of patients meeting FT eligibility to follow prospectively for retention using both electronic medical records as well as targeted chart review. We used a variety of methods including Kaplan Meier (KM) stratified by FT, to compare time to first late pick up, exploring late thresholds at >7, >14 and >28 days, Cox proportional hazards to describe associations between FT and late pick up, and linear mixed effects regression to assess the association of FT with medication possession ratio. A total of 905 participants were enrolled with a median age of 40 years (interquartile range [IQR]: 34-46 years), 67.1% were female, median CD4 count was 499 cells/mm3 (IQR: 354-691), and median time on ART was 5 years (IQR: 3-7). During the one-year follow-up period FT participants had a significantly reduced cumulative incidence of being >7 days late for ART pick-up (0.36, 95% confidence interval [CI]: 0.31-0.41) compared to control participants (0.66; 95% CI: 0.57-0.65). This trend held for >28 days late for ART pick-up appointments, at 23% (95% CI: 18%-28%) among intervention participants and 54% (95% CI: 47%-61%) among control participants. FT models significantly improved timely ART pick up among study participants. The apparent synergistic relationship between refill time and other elements of the FT suggest that FT may enhance the effects of extending visit spacing/multi-month scripting alone. ClinicalTrials.gov Identifier: NCT02776254 https://clinicaltrials.gov/ct2/show/NCT02776254.
Comparison of patient exit interviews with unannounced standardised patients for assessing HIV service delivery in Zambia: a study nested within a cluster randomised trial.
(2023-Jul-05) Sikombe K; Pry JM; Mody A; Rice B; Bukankala C; Eshun-Wilson I; Mutale J; Simbeza S; Beres LK; Mukamba N; Mukumbwa-Mwenechanya M; Mwamba D; Sharma A; Wringe A; Hargreaves J; Bolton-Moore C; Holmes C; Sikazwe IT; Geng E; Center for Innovation in Global Health, Georgetown University Medical Center, Washington, District of Columbia, USA.; Department of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.; Implementation Science Unit, Center for Infectious Disease Research in Zambia, Lusaka, Zambia kombatende.sikombe@cidrz.org.; Implementation Science Unit, Center for Infectious Disease Research in Zambia, Lusaka, Zambia.; Social and Behavioural Science Research Group, Center for Infectious Disease Research in Zambia, Lusaka, Zambia.; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.; Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.; Internal Medicine, Washington University in St Louis School of Medicine, St Louis, Missouri, USA.; Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine Faculty of Public Health and Policy, London, UK.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
OBJECTIVES: To compare unannounced standardised patient approach (eg, mystery clients) with typical exit interviews for assessing patient experiences in HIV care (eg, unfriendly providers, long waiting times). We hypothesise standardised patients would report more negative experiences than typical exit interviews affected by social desirability bias. SETTING: Cross-sectional surveys in 16 government-operated HIV primary care clinics in Lusaka, Zambia providing antiretroviral therapy (ART). PARTICIPANTS: 3526 participants aged ≥18 years receiving ART participated in the exit surveys between August 2019 and November 2021. INTERVENTION: Systematic sample (every n OUTCOME MEASURES: We compared patient experience among patients who received brief training prior to their care visit (explaining each patient experience construct in the exit survey, being anonymous, without manipulating behaviour) with those who did not undergo training on the survey prior to their visit. RESULTS: Among 3526 participants who participated in exit surveys, 2415 were untrained (56% female, median age 40 (IQR: 32-47)) and 1111 were trained (50% female, median age 37 (IQR: 31-45)). Compared with untrained, trained patients were more likely to report a negative care experience overall (adjusted prevalence ratio (aPR) for aggregate sum score: 1.64 (95% CI: 1.39 to 1.94)), with a greater proportion reporting feeling unwelcome by providers (aPR: 1.71 (95% CI: 1.20 to 2.44)) and witnessing providers behaving rude (aPR: 2.28 (95% CI: 1.63 to 3.19)). CONCLUSION: Trained patients were more likely to identify suboptimal care. They may have understood the items solicited better or felt empowered to be more critical. We trained existing patients, unlike studies that use 'standardised patients' drawn from outside the patient population. This low-cost strategy could improve patient-centred service delivery elsewhere. TRIAL REGISTRATION NUMBER: Assessment was nested within a parent study; www.pactr.org registered the parent study (PACTR202101847907585).
Differentiated Care Preferences of Stable Patients on Antiretroviral Therapy in Zambia: A Discrete Choice Experiment.
(2019-Aug-15) Eshun-Wilson I; Mukumbwa-Mwenechanya M; Kim HY; Zannolini A; Mwamba CP; Dowdy D; Kalunkumya E; Lumpa M; Beres LK; Roy M; Sharma A; Topp SM; Glidden DV; Padian N; Ehrenkranz P; Sikazwe I; Holmes CB; Bolton-Moore C; Geng EH; United Kingdom Department for International Development, Dar Es Salaam office, Tanzania.; University of California, San Francisco, San Francisco, CA.; University of California, Berkeley, Berkeley, CA.; Bill and Melinda Gates Foundation, Seattle, WA.; Georgetown University, Washington, DC.; Johns Hopkins University, Baltimore, MD.; James Cook University, Townsville, Australia.; Africa Health Research Institute, Durban, South Africa.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of Alabama at Birmingham, Birmingham, AL.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Although differentiated service delivery (DSD) models for stable patients on antiretroviral therapy (ART) offer a range of health systems innovations, their comparative desirability to patients remains unknown. We conducted a discrete choice experiment to quantify service attributes most desired by patients to inform model prioritization. METHODS: Between July and December 2016, a sample of HIV-positive adults on ART at 12 clinics in Zambia were asked to choose between 2 hypothetical facilities that differed across 6 DSD attributes. We used mixed logit models to explore preferences, heterogeneity, and trade-offs. RESULTS: Of 486 respondents, 59% were female and 85% resided in urban locations. Patients strongly preferred infrequent clinic visits [3- vs. 1-month visits: β (ie, relative utility) = 2.84; P < 0.001]. Milder preferences were observed for waiting time for ART pick-up (1 vs. 6 hours.; β = -0.67; P < 0.001) or provider (1 vs. 3 hours.; β = -0.41; P = 0.002); "buddy" ART collection (β = 0.84; P < 0.001); and ART pick-up location (clinic vs. community: β = 0.35; P = 0.028). Urban patients demonstrated a preference for collecting ART at a clinic (β = 1.32, P < 0.001), and although most rural patients preferred community ART pick-up (β = -0.74, P = 0.049), 40% of rural patients still preferred facility ART collection. CONCLUSIONS: Stable patients on ART primarily want to attend clinic infrequently, supporting a focus in Zambia on optimizing multimonth prescribing over other DSD features-particularly in urban areas. Substantial preference heterogeneity highlights the need for DSD models to be flexible, and accommodate both setting features and patient choice in their design.
Effect of a multicomponent, person-centred care intervention on client experience and HIV treatment outcomes in Zambia: a stepped-wedge, cluster-randomised trial.
(2025-Jan) Sikombe K; Mody A; Goss CW; Simbeza S; Beres LK; Pry JM; Eshun-Wilson I; Sharma A; Mukamba N; Mulenga LB; Rice B; Mutale J; Zulu Dube A; Mulabe M; Hargreaves J; Bolton Moore C; Holmes CB; Sikazwe I; Geng EH; Johnson & Johnson, Cape Town, South Africa.; Department of Medicine, Georgetown University, Washington, DC, USA.; Implementation Science Unit, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, USA.; Zambian Ministry of Health, Lusaka, Zambia.; Implementation Science Unit, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Department of Public Health Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK. Electronic address: kombatende.sikombe@cidrz.org.; Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA.; Implementation Science Unit, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Division of Infectious Diseases, University of Alabama, Birmingham, AL, USA.; Department of Public Health Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK; Sheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.; Department of Public Health Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.; Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.; Implementation Science Unit, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Recipients of health services value not only convenience but also respectful, kind, and helpful providers. To date, research to improve person-centred HIV treatment has focused on making services easier to access (eg, differentiated service delivery) rather than the interpersonal experience of care. We developed and evaluated a person-centred care (PCC) intervention targeting practices of health-care workers. METHODS: Using a stepped-wedge, cluster-randomised design, we randomly allocated 24 HIV clinics stratified by size in Zambia into four groups and introduced a PCC intervention that targeted caring aspects of the behaviour of health-care workers in one group every 6 months. The intervention entailed training and coaching for health-care workers on PCC practices (to capacitate), client experience assessment with feedback to facilities (to create opportunities), and small performance-based incentives (to motivate). In a probability sample of clients who were pre-trained on a client experience exit survey and masked to facility intervention status, we evaluated effects on client experience by use of mean score change and also proportion with poor encounters (ie, score of ≤8 on a 12-point survey instrument). We examined effects on missed visits (ie, >30 days late for next scheduled encounter) in all groups and retention in care at 15 months in group 1 and group 4 by use of electronic health records. We assessed effects on treatment success at 15 months (ie, HIV RNA concentration <400 copies per mL or adjudicated care status) in a prospectively enrolled subset of clients from group 1 and group 4. We estimated treatment effects with mixed-effects logistic regression, adjusting for sex, age, and baseline care status. This trial is registered at the Pan-African Clinical Trials Registry (202101847907585), and is completed. FINDINGS: Between Aug 12, 2019, and Nov 30, 2021, 177 543 unique clients living with HIV made at least one visit to one of the 24 study clinics. The PCC intervention reduced the proportion of poor visits based on exit surveys from 147 (23·3%) of 632 during control periods to 33 (13·3%) of 249 during the first 6 months of intervention, and then to eight (3·5%) of 230 at 6 months or later (adjusted risk difference [aRD] for control vs ≥6 months intervention -16·9 percentage points, 95% CI -24·8 to -8·9). Among all adult scheduled appointments, the PCC intervention reduced the proportion of missed visits from 90 593 (25·3%) of 358 741 during control periods to 40 380 (22·6%) of 178 523 in the first 6 months, and then 52 288 (21·5%) of 243 350 at 6 months or later (aRD for control vs the intervention -4·2 percentage points, 95% CI -4·8 to -3·7). 15-month retention improved from 33 668 (80·2%) of 41 998 in control to 35 959 (83·6%) of 43 005 during intervention (aRD 5·9 percentage points, 95% CI 0·6 to 11·2), with larger effects in clients newly starting treatment (aRD 12·7 percentage points, 1·4 to 23·9). We found no effect on treatment success (based on viral load) in a nested subcohort (379 [83·7%] of 453 in the control phase vs 402 [83·8%] of 480 in the intervention phase; aRD 0·9 percentage points, -5·4 to 7·2). INTERPRETATION: Improving the caring aspects of health-care worker behaviour is feasible in public health settings, enhances client experience, reduces missed appointments, and increases retention. FUNDING: The Bill & Melinda Gates Foundation.
Effects of implementing universal and rapid HIV treatment on initiation of antiretroviral therapy and retention in care in Zambia: a natural experiment using regression discontinuity.
(2021-Dec) Mody A; Sikazwe I; Namwase AS; Wa Mwanza M; Savory T; Mwila A; Mulenga L; Herce ME; Mweebo K; Somwe P; Eshun-Wilson I; Sikombe K; Beres LK; Pry J; Holmes CB; Bolton-Moore C; Geng EH; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Division of Infectious Diseases, University of North Carolina, Chapel Hill, NC, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Department of Public Health Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.; Department of Medicine, Georgetown University, Washington, DC, USA.; Zambian Ministry of Health, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA.; Center for Disease Control, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; Division of Infectious Diseases, University of Alabama, Birmingham, AL, USA.; Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA. Electronic address: aaloke.mody@wustl.edu.; Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Universal testing and treatment (UTT) for all people living with HIV has only been assessed under experimental conditions in cluster-randomised trials. The public health effectiveness of UTT policies on the HIV care cascade under real-world conditions is not known. We assessed the real-world effectiveness of universal HIV treatment policies that were implemented in Zambia on Jan 1, 2017. METHODS: We used data from Zambia's routine electronic health record system to analyse antiretroviral therapy (ART)-naive adults who newly enrolled in HIV care up to 1 year before and after the implementation of universal treatment (ie, Jan 1, 2016, to Jan 1, 2018) at 117 clinics supported by the Centre for Infectious Disease Research in Zambia. We used a regression discontinuity design to estimate the effects of implementing UTT on same-day ART initiation, ART initiation within 1 month, and retention on ART at 12 months (defined as clinic attendance 9-15 months after enrolment and at least 6 months on ART), under the assumption that patients presenting immediately before and after UTT implementation were balanced on both measured and unmeasured characteristics. We did an instrumental variable analysis to estimate the effect of same-day ART initiation under routine conditions on 12-month retention on ART. FINDINGS: 65 673 newly enrolled patients with HIV (40 858 [62·2%] female, median age 32 years [IQR 26-39], median CD4 count 287 cells per μL [IQR 147-466]) were eligible for inclusion in the analyses; 31 145 enrolled before implementation of UTT, and 34 528 enrolled after UTT. Implementation of universal treatment increased same-day ART initiation from 41·7% to 74·8% (risk difference [RD] 33·1%, 95% CI 30·5-35·7), ART initiation by 1 month from 69·6% to 87·0% (RD 17·4%, 15·5-19·3), and 12-month retention on ART from 56·2% to 63·3% (RD 7·1%, 4·3-9·9). ART initiation rates became more uniform across patient subgroups after implementation of universal treatment, but heterogeneity in 12-month retention on ART between subgroups was unchanged. Instrumental variable analyses indicated that same-day ART initiation in routine settings led to a 15·8% increase (95% CI 12·1-19·5) in 12-month retention on ART. INTERPRETATION: UTT policies implemented in Zambia increased the rapidity and uptake of ART, as well as retention on ART at 12 months, although overall retention on ART remained suboptimal. UTT policies reduced disparities in treatment initiation, but not 12-month retention on ART. Natural experiments reveal both the anticipated and unanticipated effects of real-world implementation and indicate the need for new strategies leveraging the short-term effects of UTT to cultivate long-term treatment success. FUNDING: National Institutes of Health.
Estimated mortality on HIV treatment among active patients and patients lost to follow-up in 4 provinces of Zambia: Findings from a multistage sampling-based survey.
(2018-Jan) Holmes CB; Sikazwe I; Sikombe K; Eshun-Wilson I; Czaicki N; Beres LK; Mukamba N; Simbeza S; Bolton Moore C; Hantuba C; Mwaba P; Phiri C; Padian N; Glidden DV; Geng E; University of California, San Francisco, San Francisco, California, United States of America.; Lusaka Apex Medical University, Lusaka, Zambia.; University of California, Berkeley, Berkeley, California, United States of America.; Stellenbosch University, Cape Town, South Africa.; Ministry of Health, Government of the Republic of Zambia, Lusaka, Zambia.; Georgetown University, Washington, DC, United States of America.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of Alabama at Birmingham, Birmingham, Alabama, United States of America.; Johns Hopkins University, Baltimore, Maryland, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Survival represents the single most important indicator of successful HIV treatment. Routine monitoring fails to capture most deaths. As a result, both regional assessments of the impact of HIV services and identification of hotspots for improvement efforts are limited. We sought to assess true mortality on treatment, characterize the extent under-reporting of mortality in routine health information systems in Zambia, and identify drivers of mortality across sites and over time using a multistage, regionally representative sampling approach. METHODS AND FINDINGS: We enumerated all HIV infected adults on antiretroviral therapy (ART) who visited any one of 64 facilities across 4 provinces in Zambia during the 24-month period from 1 August 2013 to 31 July 2015. We identified a probability sample of patients who were lost to follow-up through selecting facilities probability proportional to size and then a simple random sample of lost patients. Outcomes among patients lost to follow-up were incorporated into survival analysis and multivariate regression through probability weights. Of 165,464 individuals (64% female, median age 39 years (IQR 33-46), median CD4 201 cells/mm3 (IQR 111-312), the 2-year cumulative incidence of mortality increased from 1.9% (95% CI 1.7%-2.0%) to a corrected rate of 7.0% (95% CI 5.7%-8.4%) (all ART users) and from 2.1% (95% CI 1.8%-2.4%) to 8.3% (95% CI 6.1%-10.7%) (new ART users). Revised provincial mortality rates ranged from 3-9 times higher than naïve rates for new ART users and were lowest in Lusaka Province (4.6 per 100 person-years) and highest in Western Province (8.7 per 100 person-years) after correction. Corrected mortality rates varied markedly by clinic, with an IQR of 3.5 to 7.5 deaths per 100 person-years and a high of 13.4 deaths per 100 person-years among new ART users, even after adjustment for clinical (e.g., pretherapy CD4) and contextual (e.g., province and clinic size) factors. Mortality rates (all ART users) were highest year 1 after treatment at 4.6/100 person-years (95% CI 3.9-5.5), 2.9/100 person-years (95% CI 2.1-3.9) in year 2, and approximately 1.6% per year through 8 years on treatment. In multivariate analysis, patient-level factors including male sex and pretherapy CD4 levels and WHO stage were associated with higher mortality among new ART users, while male sex and HIV disclosure were associated with mortality among all ART users. In both cases, being late (>14 days late for appointment) or lost (>90 days late for an appointment) was associated with deaths. We were unable to ascertain the vital status of about one-quarter of those lost and selected for tracing and did not adjudicate causes of death. CONCLUSIONS: HIV treatment in Zambia is not optimally effective. The high and sustained mortality rates and marked under-reporting of mortality at the provincial-level and unexplained heterogeneity between regions and sites suggest opportunities for the use of corrected mortality rates for quality improvement. A regionally representative sampling-based approach can bring gaps and opportunities for programs into clear epidemiological focus for local and global decision makers.
Longitudinal Care Cascade Outcomes Among People Eligible for Antiretroviral Therapy Who Are Newly Linking to Care in Zambia: A Multistate Analysis.
(2020-Dec-17) Mody A; Glidden DV; Eshun-Wilson I; Sikombe K; Simbeza S; Mukamba N; Somwe P; Beres LK; Pry J; Bolton-Moore C; Padian N; Holmes CB; Sikazwe I; Geng EH; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri, USA.; Division of Epidemiology, University of California, Berkeley, Berkeley, California, USA.; Division of Infectious Diseases, University of Alabama, Birmingham, Alabama, USA.; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.; Department of International Health, Johns Hopkins University School of Public Health, Baltimore, Maryland, USA.; Department of Medicine, Georgetown University, Washington, D.C., USA.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Retention in human immunodeficiency virus (HIV) care is dynamic, with patients frequently transitioning in and out of care. Analytical approaches (eg, survival analyses) commonly used to assess HIV care cascade outcomes fail to capture such transitions and therefore incompletely represent care outcomes over time. METHODS: We analyzed antiretroviral therapy (ART)-eligible adults newly linking to care at 64 clinics in Zambia between 1 April 2014 and 31 July 2015. We used electronic medical record data and supplemented these with updated care outcomes ascertained by tracing a multistage random sample of patients lost to follow-up (LTFU, >90 days late for last appointment). We performed multistate analyses, incorporating weights from sampling, to estimate the prevalence of 9 care states over time since linkage with respect to ART initiation, retention in care, transfers, and mortality. RESULTS: In sum, 23 227 patients (58% female; median age 34 years [interquartile range 28-41]) were ART-eligible at enrollment. At 1 year, 75.2% had initiated ART and were in care: 61.8% were continuously retained, 6.1% had reengaged after LTFU, and 7.3% had transferred. Also, 10.1% were LTFU within 7 days of enrollment, and 15.2% were LTFU at 1 year (6.7% prior to ART). One year after LTFU, 51.6% of those LTFU prior to ART remained out of care compared to 30.2% of those LTFU after initiating ART. Overall, 6.9% of patients had died by 1 year with 3.0% dying prior to ART. CONCLUSION: Multistate analyses provide more complete assessments of longitudinal HIV cascade outcomes and reveal treatment gaps at distinct timepoints in care that will still need to be addressed even with universal treatment.
Longitudinal engagement trajectories and risk of death among new ART starters in Zambia: A group-based multi-trajectory analysis.
(2019-Oct) Mody A; Eshun-Wilson I; Sikombe K; Schwartz SR; Beres LK; Simbeza S; Mukamba N; Somwe P; Bolton-Moore C; Padian N; Holmes CB; Sikazwe I; Geng EH; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.; Division of HIV, ID and Global Medicine, University of California, San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, United States of America.; Division of Epidemiology, University of California, Berkeley, California, United States of America.; Department of Medicine, Georgetown University, Washington, District of Columbia, United States of America.; Division of Infectious Diseases, University of Alabama at Birmingham, Alabama, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Retention in HIV treatment must be improved to advance the HIV response, but research to characterize gaps in retention has focused on estimates from single time points and population-level averages. These approaches do not assess the engagement patterns of individual patients over time and fail to account for both their dynamic nature and the heterogeneity between patients. We apply group-based trajectory analysis-a special application of latent class analysis to longitudinal data-among new antiretroviral therapy (ART) starters in Zambia to identify groups defined by engagement patterns over time and to assess their association with mortality. METHODS AND FINDINGS: We analyzed a cohort of HIV-infected adults who newly started ART between August 1, 2013, and February 1, 2015, across 64 clinics in Zambia. We performed group-based multi-trajectory analysis to identify subgroups with distinct trajectories in medication possession ratio (MPR, a validated adherence metric based on pharmacy refill data) over the past 3 months and loss to follow-up (LTFU, >90 days late for last visit) among patients with at least 180 days of observation time. We used multinomial logistic regression to identify baseline factors associated with belonging to particular trajectory groups. We obtained Kaplan-Meier estimates with bootstrapped confidence intervals of the cumulative incidence of mortality stratified by trajectory group and performed adjusted Poisson regression to estimate adjusted incidence rate ratios (aIRRs) for mortality by trajectory group. Inverse probability weights were applied to all analyses to account for updated outcomes ascertained from tracing a random subset of patients lost to follow-up as of July 31, 2015. Overall, 38,879 patients (63.3% female, median age 35 years [IQR 29-41], median enrollment CD4 count 280 cells/μl [IQR 146-431]) were included in our cohort. Analyses revealed 6 trajectory groups among the new ART starters: (1) 28.5% of patients demonstrated consistently high adherence and retention; (2) 22.2% showed early nonadherence but consistent retention; (3) 21.6% showed gradually decreasing adherence and retention; (4) 8.6% showed early LTFU with later reengagement; (5) 8.7% had early LTFU without reengagement; and (6) 10.4% had late LTFU without reengagement. Identified groups exhibited large differences in survival: after adjustment, the "early LTFU with reengagement" group (aIRR 3.4 [95% CI 1.2-9.7], p = 0.019), the "early LTFU" group (aIRR 6.4 [95% CI 2.5-16.3], p < 0.001), and the "late LTFU" group (aIRR 4.7 [95% CI 2.0-11.3], p = 0.001) had higher rates of mortality as compared to the group with consistently high adherence/retention. Limitations of this study include using data observed after baseline to identify trajectory groups and to classify patients into these groups, excluding patients who died or transferred within the first 180 days, and the uncertain generalizability of the data to current care standards. CONCLUSIONS: Among new ART starters in Zambia, we observed 6 patient subgroups that demonstrated distinctive engagement trajectories over time and that were associated with marked differences in the subsequent risk of mortality. Further efforts to develop tailored intervention strategies for different types of engagement behaviors, monitor early engagement to identify higher-risk patients, and better understand the determinants of these heterogeneous behaviors can help improve care delivery and survival in this population.
Mortality estimates by age and sex among persons living with HIV after ART initiation in Zambia using electronic medical records supplemented with tracing a sample of lost patients: A cohort study.
(2020-May) Kerkhoff AD; Sikombe K; Eshun-Wilson I; Sikazwe I; Glidden DV; Pry JM; Somwe P; Beres LK; Simbeza S; Mwamba C; Bukankala C; Hantuba C; Moore CB; Holmes CB; Padian N; Geng EH; Georgetown University, Washington, District of Columbia, United States of America.; Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, San Francisco, California, United States of America.; University of California, Berkeley, Berkeley, California, United States of America.; Division of Infectious Diseases, Department of Medicine, Washington University, St. Louis, Missouri, United States of America.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of Alabama at Birmingham, Birmingham, Alabama, United States of America.; Johns Hopkins University, Baltimore, Maryland, United States of America.; Center for Dissemination and Implementation, Institute for Public Health, Washington University, St. Louis, Missouri, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Men in sub-Saharan Africa have lower engagement and retention in HIV services compared to women, which may result in differential survival. However, the true magnitude of difference in HIV-related mortality between men and women receiving antiretroviral therapy (ART) is incompletely characterized. METHODS AND FINDINGS: We evaluated HIV-positive adults ≥18 years old newly initiating ART in 4 Zambian provinces (Eastern, Lusaka, Southern, and Western). In addition to mortality data obtained from routine electronic medical records, we intensively traced a random sample of patients lost to follow-up (LTFU) and incorporated tracing outcomes through inverse probability weights. Sex-specific mortality rates and rate differences were determined using Poisson regression. Parametric g-computation was used to estimate adjusted mortality rates by sex and age. The study included 49,129 adults newly initiated on ART between August 2013 and July 2015; overall, the median age among patients was 35 years, the median baseline CD4 count was 262 cells/μl, and 37.2% were men. Men comprised a smaller proportion of individuals starting ART (37.2% versus 62.8%), tended to be older (median age 37 versus 33 years), and tended to have lower CD4 counts (median 220 versus 289 cells/μl) at the time of ART initiation compared to women. The overall rate of mortality among men was 10.3 (95% CI 8.2-12.4) deaths/100 person-years (PYs), compared to 5.5 (95% CI 4.3-6.8) deaths/100 PYs among women (difference +4.7 [95% CI 2.3-7.2] deaths/100 PYs; p < 0.001). Compared to women in the same age groups, men's mortality rates were particularly elevated among those <30 years old (+6.7 deaths/100 PYs difference), those attending rural health centers (+9.4 deaths/100 PYs difference), those who had an initial CD4 count < 100 cells/μl (+9.2 deaths/100 PYs difference), and those who were unmarried (+8.0 deaths/100 PYs difference). After adjustment for potential confounders and mediators including CD4 count, a substantially higher mortality rate was predicted among men <30 years old compared to women of the same age, while women ≥50 years old had a mortality rate similar to that of age-matched men, but considerably higher than that predicted among young women (<30 years old). No clinically significant differences were evident with respect to rates of facility transfer or care disengagement between men and women. The main study limitations were the inability to successfully ascertain outcomes in all patients selected for tracing and missing clinical and laboratory data due to the use of medical records. CONCLUSIONS: In this study, we found that among HIV-positive adults newly initiating ART, mortality among men exceeded mortality among women; disparities were most pronounced among young patients. Older women, however, also experienced high mortality. Specific interventions for men and older women at highest mortality risk are needed to improve HIV treatment outcomes.
Novel Longitudinal Methods for Assessing Retention in Care: a Synthetic Review.
(2021-Aug) Mody A; Tram KH; Glidden DV; Eshun-Wilson I; Sikombe K; Mehrotra M; Pry JM; Geng EH; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, Campus Box 8051, 4523 Clayton Avenue, St. Louis, Missouri, 63110, USA. aaloke.mody@wustl.edu.; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.; Division of Infectious Diseases, Washington University School of Medicine, Campus Box 8051, 4523 Clayton Avenue, St. Louis, Missouri, 63110, USA.; Department of Public Health Environments and Society, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
PURPOSE OF REVIEW: Retention in care is both dynamic and longitudinal in nature, but current approaches to retention often reduce these complex histories into cross-sectional metrics that obscure the nuanced experiences of patients receiving HIV care. In this review, we discuss contemporary approaches to assessing retention in care that captures its dynamic nature and the methodological and data considerations to do so. RECENT FINDINGS: Enhancing retention measurements either through patient tracing or "big data" approaches (including probabilistic matching) to link databases from different sources can be used to assess longitudinal retention from the perspective of the patient when they transition in and out of care and access care at different facilities. Novel longitudinal analytic approaches such as multi-state and group-based trajectory analyses are designed specifically for assessing metrics that can change over time such as retention in care. Multi-state analyses capture the transitions individuals make in between different retention states over time and provide a comprehensive depiction of longitudinal population-level outcomes. Group-based trajectory analyses can identify patient subgroups that follow distinctive retention trajectories over time and highlight the heterogeneity of retention patterns across the population. Emerging approaches to longitudinally measure retention in care provide nuanced assessments that reveal unique insights into different care gaps at different time points over an individuals' treatment. These methods help meet the needs of the current scientific agenda for retention and reveal important opportunities for developing more tailored interventions that target the varied care challenges patients may face over the course of lifelong treatment.
Pathways to care and preferences for improving tuberculosis services among tuberculosis patients in Zambia: A discrete choice experiment.
(2021) Kerkhoff AD; Kagujje M; Nyangu S; Mateyo K; Sanjase N; Chilukutu L; Eshun-Wilson I; Geng EH; Havlir DV; Muyoyeta M; University Teaching Hospital, Department of Internal Medicine, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Division of HIV, Infectious Diseases and Global Medicine Zuckerberg San Francisco General Hospital and Trauma Center University of California, San Francisco, California, United States of America.; Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Delays in the diagnosis of tuberculosis (TB) contribute to a substantial proportion of TB-related mortality, especially among people living with HIV (PLHIV). We sought to characterize the diagnostic journey for HIV-positive and HIV-negative patients with a new TB diagnosis in Zambia, to understand drivers of delay, and characterize their preferences for service characteristics to inform improvements in TB services. METHODS: We assessed consecutive adults with newly microbiologically-confirmed TB at two public health treatment facilities in Lusaka, Zambia. We administered a survey to document critical intervals in the TB care pathway (time to initial care-seeking, diagnosis and treatment initiation), identify bottlenecks and their reasons. We quantified patient preferences for a range of characteristics of health services using a discrete choice experiment (DCE) that assessed 7 attributes (distance, wait times, hours of operation, confidentiality, sex of provider, testing incentive, TB test speed and notification method). RESULTS: Among 401 patients enrolled (median age of 34 years, 68.7% male, 46.6% HIV-positive), 60.9% and 39.1% were from a first-level and tertiary hospital, respectively. The median time from symptom onset to receipt of TB treatment was 5.0 weeks (IQR: 3.6-8.0) and was longer among HIV-positive patients seeking care at a tertiary hospital than HIV-negative patients (6.4 vs. 4.9 weeks, p = 0.002). The time from symptom onset to initial presentation for evaluation accounted for the majority of time until treatment initiation (median 3.0 weeks, IQR: 1.0-5.0)-an important minority of 11.0% of patients delayed care-seeking ≥8 weeks. The DCE found that patients strongly preferred same-day TB test results (relative importance, 37.2%), facilities close to home (18.0%), and facilities with short wait times (16.9%). Patients were willing to travel to a facility up to 7.6 kilometers further away in order to access same-day TB test results. Preferences for improving current TB services did not differ according to HIV status. CONCLUSIONS: Prolonged intervals from TB symptom onset to treatment initiation were common, especially among PLHIV, and were driven by delayed health-seeking. Addressing known barriers to timely diagnosis and incorporating patients' preferences into TB services, including same-day TB test results, may facilitate earlier TB care engagement in high burden settings.
Patient Preferences for Strategies to Improve Tuberculosis Diagnostic Services in Zambia.
(2022-Aug-01) Kerkhoff AD; Chilukutu L; Nyangu S; Kagujje M; Mateyo K; Sanjase N; Eshun-Wilson I; Geng EH; Havlir DV; Muyoyeta M; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco School of Medicine, San Francisco.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Department of Internal Medicine, University Teaching Hospital, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, St Louis, Missouri.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
IMPORTANCE: Delayed engagement in tuberculosis (TB) services is associated with ongoing transmission and poor clinical outcomes. OBJECTIVE: To assess whether patients with TB have differential preferences for strategies to improve the public health reach of TB diagnostic services. DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional study was undertaken in which a discrete choice experiment (DCE) was administered between September 18, 2019, and January 17, 2020, to 401 adults (>18 years of age) with microbiologically confirmed TB in Lusaka, Zambia. The DCE had 7 attributes with 2 to 3 levels per attribute related to TB service enhancements. Latent class analysis was used to identify segments of participants with unique preferences. Multiscenario simulations were used to estimate shares of preferences for different TB service improvement strategies. MAIN OUTCOMES AND MEASURES: The main outcomes were patient preference archetypes and estimated shares of preferences for different strategies to improve TB diagnostic services. Collected data were analyzed between January 3, 2022, to July 2, 2022. RESULTS: Among 326 adults with TB (median [IQR] age, 34 [27-42] years; 217 [66.8%] male; 158 [48.8%] HIV positive), 3 groups with distinct preferences for TB service improvements were identified. Group 1 (192 participants [58.9%]) preferred a facility that offered same-day TB test results, shorter wait times, and financial incentives for testing. Group 2 (83 participants [25.4%]) preferred a facility that provided same-day TB results, had greater privacy, and was closer to home. Group 3 (51 participants [15.6%]) had no strong preferences for service improvements and had negative preferences for receiving telephone-based TB test results. Groups 1 and 2 were more likely to report at least a 4-week delay in seeking health care for their current TB episode compared with group 3 (29 [51.3%] in group 1, 95 [35.8%] in group 2, and 10 [19.6%] in group 3; P < .001). Strategies to improve TB diagnostic services most preferred by all participants were same-day TB test results alone (shares of preference, 69.9%) and combined with a small financial testing incentive (shares of preference, 79.3%), shortened wait times (shares of preference, 76.1%), or greater privacy (shares of preference, 75.0%). However, the most preferred service improvement strategies differed substantially by group. CONCLUSIONS AND RELEVANCE: In this study, patients with TB had heterogenous preferences for TB diagnostic service improvements associated with differential health care-seeking behavior. Tailored strategies that incorporate features most valued by persons with undiagnosed TB, including same-day results, financial incentives, and greater privacy, may optimize reach by overcoming key barriers to timely TB care engagement.
Patient-reported Reasons for Stopping Care or Switching Clinics in Zambia: A Multisite, Regionally Representative Estimate Using a Multistage Sampling-based Approach in Zambia.
(2021-Oct-05) Sikazwe I; Eshun-Wilson I; Sikombe K; Beres LK; Somwe P; Mody A; Simbeza S; Bukankala C; Glidden DV; Mulenga LB; Padian N; Ehrenkranz P; Bolton-Moore C; Holmes CB; Geng EH; Washington University in St Louis, St Louis, Missouri, USA.; University of California Berkeley, Berkeley, California, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; London School of Hygiene and Tropical Medicine, London, United Kingdom.; University of Alabama at Birmingham, Birmingham, Alabama, USA.; Ministry of Health, Lusaka, Zambia.; Bill and Melinda Gates Foundation, Seattle, Washington, USA.; Johns Hopkins University, Baltimore, Maryland, USA.; Georgetown University, Washington, D.C., USA.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Understanding patient-reported reasons for lapses of retention in human immunodeficiency virus (HIV) treatment can drive improvements in the care cascade. A systematic assessment of outcomes among a random sample of patients lost to follow-up (LTFU) from 32 clinics in Zambia to understand the reasons for silent transfers and disengagement from care was undertaken. METHODS: We traced a simple random sample of LTFU patients (>90 days from last scheduled visit) as determined from clinic-based electronic medical records from a probability sample of facilities. Among patients found in person, we solicited reasons for either stopping or switching care and predictors for re-engagement. We coded reasons into structural, psychosocial, and clinic-based barriers. RESULTS: Among 1751 LTFU patients traced and found alive, 31% of patients starting antiretroviral therapy (ART) between 1 July 2013 and 31 July 2015 silently transferred or were disengaged (40% male; median age, 35 years; median CD4 level, 239 cells/μL); median time on ART at LTFU was 480 days (interquartile range, 110-1295). Among the 544 patients not in care, median prevalences for patient-reported structural, psychosocial, and clinic-level barriers were 27.3%, 13.9%, and 13.4%, respectively, and were highly variable across facilities. Structural reasons, including, "relocated to a new place" were mostly cited among 289 patients who silently transferred (35.5%). We found that men were less likely to re-engage in care than women (odds ratio, .39; 95% confidence interval, .22-.67; P = .001). CONCLUSIONS: Efforts to improve retention of patients on ART may need to be tailored at the facility level to address patient-reported barriers.
Patterns and Predictors of Incident Return to HIV Care Among Traced, Disengaged Patients in Zambia: Analysis of a Prospective Cohort.
(2021-Mar-01) Beres LK; Schwartz S; Simbeza S; McGready J; Eshun-Wilson I; Mwamba C; Sikombe K; Topp SM; Somwe P; Mody A; Mukamba N; Ehrenkranz PD; Padian N; Pry J; Moore CB; Holmes CB; Sikazwe I; Denison JA; Geng E; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.; Department of Medicine, Georgetown University, Washington, DC.; The Bill & Melinda Gates Foundation, Seattle, WA.; Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL.; Division of Epidemiology, University of California Berkeley, Berkeley, CA; and.; Division of Infectious Diseases, Washington University School of Medicine, University of Washington, St. Louis, St. Louis, MO.; College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Australia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Dynamic movement of patients in and out of HIV care is prevalent, but there is limited information on patterns of patient re-engagement or predictors of return to guide HIV programs to better support patient engagement. METHODS: From a probability-based sample of lost to follow-up, adult patients traced by peer educators from 31 Zambian health facilities, we prospectively followed disengaged HIV patients for return clinic visits. We estimated the cumulative incidence of return and the time to return using Kaplan-Meier methods. We used univariate and multivariable Cox proportional hazards regression to conduct a risk factor analysis identifying predictors of incident return across a social ecological framework. RESULTS: Of the 556 disengaged patients, 73.0% [95% confidence interval (CI): 61.0 to 83.8] returned to HIV care. The median follow-up time from disengagement was 32.3 months (interquartile range: 23.6-38.9). The rate of return decreased with time postdisengagement. Independent predictors of incident return included a previous gap in care [adjusted Hazard Ratio (aHR): 1.95, 95% CI: 1.23 to 3.09] and confronting a stigmatizer once in the past year (aHR: 2.14, 95% CI: 1.25 to 3.65). Compared with a rural facility, patients were less likely to return if they sought care from an urban facility (aHR: 0.68, 95% CI: 0.48 to 0.96) or hospital (aHR: 0.52, 95% CI: 0.33 to 0.82). CONCLUSIONS: Interventions are needed to hasten re-engagement in HIV care. Early and differential interventions by time since disengagement may improve intervention effectiveness. Patients in urban and tertiary care settings may need additional support. Improving patient resilience, outreach after a care gap, and community stigma reduction may facilitate return. Future re-engagement research should include causal evaluation of identified factors.
Person-centred interventions to improve patient-provider relationships for HIV services in low- and middle-income countries: a systematic review.
(2024-May) Beres LK; Underwood A; Le Tourneau N; Kemp CG; Kore G; Yaeger L; Li J; Aaron A; Keene C; Mallela DP; Khalifa BAA; Mody A; Schwartz SR; Baral S; Mwamba C; Sikombe K; Eshun-Wilson I; Geng EH; Lavoie MC; Institute of Human Virology, University of Maryland School of Medicine, Baltimore, Maryland, USA.; Oxford University, Oxford, UK.; Center for International Health Education and Biosecurity, University of Maryland School of Medicine, Baltimore, Maryland, USA.; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; Washington University in St. Louis School of Medicine, St Louis, Missouri, USA.
INTRODUCTION: Person-centred care (PCC) has been recognized as a critical element in delivering quality and responsive health services. The patient-provider relationship, conceptualized at the core of PCC in multiple models, remains largely unexamined in HIV care. We conducted a systematic review to better understand the types of PCC interventions implemented to improve patient-provider interactions and how these interventions have improved HIV care continuum outcomes and person-reported outcomes (PROs) among people living with HIV in low- and middle-income countries. METHODS: We searched databases, conference proceedings and conducted manual targeted searches to identify randomized trials and observational studies published up to January 2023. The PCC search terms were guided by the Integrative Model of Patient-Centeredness by Scholl. We included person-centred interventions aiming to enhance the patient-provider interactions. We included HIV care continuum outcomes and PROs. RESULTS: We included 28 unique studies: 18 (64.3%) were quantitative, eight (28.6.%) were mixed methods and two (7.1%) were qualitative. Within PCC patient-provider interventions, we inductively identified five categories of PCC interventions: (1) providing friendly and welcoming services; (2) patient empowerment and improved communication skills (e.g. supporting patient-led skills such as health literacy and approaches when communicating with a provider); (3) improved individualized counselling and patient-centred communication (e.g. supporting provider skills such as training on motivational interviewing); (4) audit and feedback; and (5) provider sensitisation to patient experiences and identities. Among the included studies with a comparison arm and effect size reported, 62.5% reported a significant positive effect of the intervention on at least one HIV care continuum outcome, and 100% reported a positive effect of the intervention on at least one of the included PROs. DISCUSSION: Among published HIV PCC interventions, there is heterogeneity in the components of PCC addressed, the actors involved and the expected outcomes. While results are also heterogeneous across clinical and PROs, there is more evidence for significant improvement in PROs. Further research is necessary to better understand the clinical implications of PCC, with fewer studies measuring linkage or long-term retention or viral suppression. CONCLUSIONS: Improved understanding of PCC domains, mechanisms and consistency of measurement will advance PCC research and implementation.
Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis.
(2021-Jan-01) Mody A; Sikombe K; Beres LK; Simbeza S; Mukamba N; Eshun-Wilson I; Schwartz S; Pry J; Padian N; Holmes CB; Bolton-Moore C; Sikazwe I; Geng EH; Division of Epidemiology, University of California, Berkeley, Berkeley, CA.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO.; Division of Infectious Diseases, University of Alabama, Birmingham, AL.; Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.; Department of Public Health Environments and Society, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.; Department of Medicine, Georgetown University, Washington, DC; and.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Patients report varied barriers to HIV care across multiple domains, but specific barrier patterns may be driven by underlying, but unobserved, behavioral profiles. METHODS: We traced a probability sample of patients lost to follow-up (>90 days late) as of July 31, 2015 from 64 clinics in Zambia. Among those found alive, we ascertained patient-reported reasons for care disruptions. We performed latent class analysis to identify patient subgroups with similar patterns of reasons reported and assessed the association between class membership and care status (ie, disengaged versus silently transferred to a new site). RESULTS: Among 547 patients, we identified 5 profiles of care disruptions: (1) "Livelihood and Mobility" (30.6% of the population) reported work/school obligations and mobility/travel as reasons for care disruptions; (2) "Clinic Accessibility" (28.9%) reported challenges with attending clinic; (3) "Mobility and Family" (21.9%) reported family obligations, mobility/travel, and transport-related reasons; (4) "Doubting Need for HIV care" (10.2%) reported uncertainty around HIV status or need for clinical care, and (5) "Multidimensional Barriers to Care" (8.3%) reported numerous (mean 5.6) reasons across multiple domains. Patient profiles were significantly associated with care status. The "Doubting Need for HIV Care" class were mostly disengaged (97.9%), followed by the "Multidimensional Barriers to Care" (62.8%), "Clinic Accessibility" (62.4%), "Livelihood and Mobility" (43.6%), and "Mobility and Family" (23.5%) classes. CONCLUSION: There are distinct HIV care disruption profiles that are strongly associated with patients' current engagement status. Interventions targeting these unique profiles may enable more effective and tailored strategies for improving HIV treatment outcomes.
Retention and viral suppression in a cohort of HIV patients on antiretroviral therapy in Zambia: Regionally representative estimates using a multistage-sampling-based approach.
(2019-May) Sikazwe I; Eshun-Wilson I; Sikombe K; Czaicki N; Somwe P; Mody A; Simbeza S; Glidden DV; Chizema E; Mulenga LB; Padian N; Duncombe CJ; Bolton-Moore C; Beres LK; Holmes CB; Geng E; University of California, San Francisco, San Francisco, California, United States of America.; Georgetown University, Washington, District of Columbia, United States of America.; International Association of Providers of AIDS Care, Washington, District of Columbia, United States of America.; University of California, Berkeley, Berkeley, California, United States of America.; Ministry of Health, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of Alabama at Birmingham, Birmingham, Alabama, United States of America.; Johns Hopkins University, Baltimore, Maryland, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Although the success of HIV treatment programs depends on retention and viral suppression, routine program monitoring of these outcomes may be incomplete. We used data from the national electronic medical record (EMR) system in Zambia to enumerate a large and regionally representative cohort of patients on treatment. We traced a random sample with unknown outcomes (lost to follow-up) to document true care status and HIV RNA levels. METHODS AND FINDINGS: On 31 July 2015, we selected facilities from 4 provinces in 12 joint strata defined by facility type and province with probability proportional to size. In each facility, we enumerated adults with at least 1 clinical encounter after treatment initiation in the previous 24 months. From this cohort, we identified lost-to-follow-up patients (defined as 90 or more days late for their last appointment), selected a random sample, and intensively reviewed their records and traced them via phone calls and in-person visits in the community. In 1 of 4 provinces, we also collected dried blood spots (DBSs) for plasma HIV RNA testing. We used inverse probability weights to incorporate sampling outcomes into Aalen-Johansen and Cox proportional hazards regression to estimate retention and viremia. We used a bias analysis approach to correct for the known inaccuracy of plasma HIV RNA levels obtained from DBSs. From a total of 64 facilities with 165,464 adults on ART, we selected 32 facilities with 104,966 patients, of whom 17,602 (17%) were lost to follow-up: Those lost to follow-up had median age 36 years, 60% were female (N = 11,241), they had median enrollment CD4 count of 220 cells/μl, and 38% had WHO stage 1 clinical disease (N = 10,690). We traced 2,892 (16%) and found updated outcomes for 2,163 (75%): 412 (19%) had died, 836 (39%) were alive and in care at their original clinic, 457 (21%) had transferred to a new clinic, 255 (12%) were alive and out of care, and 203 (9%) were alive but we were unable to determine care status. Estimates using data from the EMR only suggested that 42.7% (95% CI 38.0%-47.1%) of new ART starters and 72.3% (95% CI 71.8%-73.0%) of all ART users were retained at 2 years. After incorporating updated data through tracing, we found that 77.3% (95% CI 70.5%-84.0%) of new initiates and 91.2% (95% CI 90.5%-91.8%) of all ART users were retained (at original clinic or transferred), indicating that routine program data underestimated retention in care markedly. In Lusaka Province, HIV RNA levels greater than or equal to 1,000 copies/ml were present in 18.1% (95% CI 14.0%-22.3%) of patients in care, 71.3% (95% CI 58.2%-84.4%) of lost patients, and 24.7% (95% CI 21.0%-29.3%). The main study limitations were imperfect response rates and the use of self-reported care status. CONCLUSIONS: In this region of Zambia, routine program data underestimated retention, and the point prevalence of unsuppressed HIV RNA was high when lost patients were accounted for. Viremia was prevalent among patients who unofficially transferred: Sustained engagement remains a challenge among HIV patients in Zambia, and targeted sampling is an effective strategy to identify such gaps in the care cascade and monitor programmatic progress.
The effect of tracer contact on return to care among adult, "lost to follow-up" patients living with HIV in Zambia: an instrumental variable analysis.
(2021-Dec) Beres LK; Mody A; Sikombe K; Nicholas LH; Schwartz S; Eshun-Wilson I; Somwe P; Simbeza S; Pry JM; Kaumba P; McGready J; Holmes CB; Bolton-Moore C; Sikazwe I; Denison JA; Geng EH; Division of Infectious Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Center for Innovation in Global Health, Georgetown University, Washington, DC, USA.; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
INTRODUCTION: Tracing patients lost to follow-up (LTFU) from HIV care is widely practiced, yet we have little knowledge of its causal effect on care engagement. In a prospective, Zambian cohort, we examined the effect of tracing on return to care within 2 years of LTFU. METHODS: We traced a stratified, random sample of LTFU patients who had received HIV care between August 2013 and July 2015. LTFU was defined as a gap of >90 days from last scheduled appointment in the routine electronic medical record. Extracting 2 years of follow-up visit data through 2017, we identified patients who returned. Using random selection for tracing as an instrumental variable (IV), we used conditional two-stage least squares regression to estimate the local average treatment effect of tracer contact on return. We examined the observational association between tracer contact and return among patient sub-groups self-confirmed as disengaged from care. RESULTS: Of the 24,164 LTFU patients enumerated, 4380 were randomly selected for tracing and 1158 were contacted by a tracer within a median of 14.8 months post-loss. IV analysis found that patients contacted by a tracer because they were randomized to tracing were no more likely to return than those not contacted (adjusted risk difference [aRD]: 3%, 95% CI: -2%, 8%, p = 0.23). Observational data showed that among contacted, disengaged patients, the rate of return was higher in the week following tracer contact (IR 5.74, 95% CI: 3.78-8.71) than in the 2 weeks to 1-month post-contact (IR 2.28, 95% CI: 1.40-3.72). There was a greater effect of tracing among patients lost for >6 months compared to those contacted within 3 months of loss. CONCLUSIONS: Overall, tracer contact did not causally increase LTFU patient return to HIV care, demonstrating the limited impact of tracing in this program, where contact occurred months after patients were LTFU. However, observational data suggest that tracing may speed return among some LTFU patients genuinely out-of-care. Further studies may improve tracing effectiveness by examining the mechanisms underlying the impact of tracing on return to care, the effect of tracing at different times-since-loss and using more accurate identification of patients who are truly disengaged to target tracing.
Understanding Engagement in HIV Programmes: How Health Services Can Adapt to Ensure No One Is Left Behind.
(2020-Oct) Grimsrud A; Wilkinson L; Eshun-Wilson I; Holmes C; Sikazwe I; Katz IT; Harvard Global Health Institute, Cambridge, MA, USA.; Massachusetts General Hospital Center for Global Health, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.; School of Medicine, Washington University, St Louis, MO, USA.; International AIDS Society, 3 Doris Road, Claremont, Cape Town, 7708, South Africa.; Desmond Tutu HIV Centre, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa. anna.grimsrud@iasociety.org.; Center for Innovation in Global Health, Georgetown University, Washington, DC, USA.; Department of Public Health Medicine, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; International AIDS Society, 3 Doris Road, Claremont, Cape Town, 7708, South Africa. anna.grimsrud@iasociety.org.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
PURPOSE OF REVIEW: Despite the significant progress in the HIV response, gaps remain in ensuring engagement in care to support life-long medication adherence and viral suppression. This review sought to describe the different points in the HIV care cascade where people living with HIV were not engaging and highlight promising interventions. RECENT FINDINGS: There are opportunities to improve engagement both between testing and treatment and to support re-engagement in care for those in a treatment interruption. The gap between testing and treatment includes people who know their HIV status and people who do not know their status. People in a treatment interruption include those who interrupt immediately following initiation, early on in their treatment (first 6 months) and late (after 6 months or more on ART). For each of these groups, specific interventions are required to support improved engagement. There are diverse needs and specific populations of people living with HIV who are not engaged in care, and differentiated service delivery interventions are required to meet their needs and expectations. For the HIV response to realise the 2030 targets, engagement will need to be supported by quality care and patient choice combined with empowered patients who are treatment literate and have been supported to improve self-management.
Understanding patient transfers across multiple clinics in Zambia among HIV infected adults.
(2020) Sikombe K; Mody A; Kadota J; Pry JJ; Simbeza S; Eshun-Wilson I; Situmbeko SR; Bukankala C; Beres L; Mukamba N; Wa Mwanza M; Bolton-Moore C; Holmes CB; Geng EH; Sikazwe I; Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, United Kingdom.; Division of Infectious Diseases, Washington University School of Medicine, Washington University in St. Louis, St. Louis, Missouri, United States of America.; Research Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Division of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, California, United States of America.; Center for Global Health and Quality, Georgetown University, Washington, District of Columbia, United States of America.; Division of Infectious Diseases, University of Alabama, Birmingham, Alabama, United States of America.; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
Many patients in HIV care in Africa considered lost to follow up (LTFU) at one facility are reportedly accessing care in another. The success of these unofficial transfers as measured by time to re-entry at the new-facility, prevalence of treatment interruptions, speed of ART-initiation, and overall continuity of care is not well characterized but may reveal opportunities for improvement. We traced a random sample of LTFU HIV-infected patients in Zambia. Among those found alive and reported in care at a new-facility, we reviewed records at the receiving facility to verify transfer; and when verified, documented the transfer experience. We used Kaplan-Meier methods to examine incidence of ART-initiation after transfer to new clinic. We assessed demographic and clinical characteristics, official and cross-provincial transfer for associations with HIV treatment re-engagement using Poisson regression models and associations between official-transfer and same-day ART initiation at the new-facility. Among 350 LTFU-patients, 178 (51%) were successfully verified through chart review at the new-facility. 132 (74.2%) were female, 72 (40.4%) aged 25-35, and 51% were ever recorded as previously being on ART. 110 patients (61.8%) were registered under new ART-IDs and 97 (54.5%) received a new HIV test. 54% of those previously on ART-initiated on the same-day. Using the same ART-ID was associated with same-day initiation compared to those receiving a new ART-ID (p = 0.07). 80% (n = 91) of those ever on ART had evidence of medication initiation at new clinic. Among these, initiation reached 66% (95% CI: 56-75) by 30 days, 77.5% (95% CI: 68-86) by 90 days after new-facility presentation. Many patients use new identifiers at new facilities, indicative of inefficiencies. Re-entry into new facilities among the unofficial-transfer population is often delayed and timely treatment initiation is inconsistent, suggesting interruptions in treatment. Health systems innovations to ensure smooth and safe transfers are needed to maintain quality HIV care.