Browsing by Author "Roy M"
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Item 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.Item A Review of Differentiated Service Delivery for HIV Treatment: Effectiveness, Mechanisms, Targeting, and Scale.(2019-Aug) Roy M; Bolton Moore C; Sikazwe I; Holmes CB; Center for Global Health and Quality, Georgetown University School of Medicine, Washington, DC, USA.; Division of HIV, Infectious Diseases, and Global Medicine, San Francisco General Hospital, University of California, San Francisco, 995 Potrero Avenue, Bldg 80, San Francisco, CA, 94110, USA. monika.roy@ucsf.edu.; Johns Hopkins University School of Medicine, Baltimore, MD, USA.; University of Alabama, Birmingham, AL, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)PURPOSE OF REVIEW: Differentiated service delivery (DSD) models were initially developed as a means to combat suboptimal long-term retention in HIV care, and to better titrate limited health systems resources to patient needs, primarily in low-income countries. The models themselves are designed to streamline care along the HIV care cascade and range from individual to group-based care and facility to community-based health delivery systems. However, much remains to be understood about how well and for whom DSD models work and whether these models can be scaled, are sustainable, and can reach vulnerable and high-risk populations. Implementation science is tasked with addressing some of these questions through systematic, scientific inquiry. We review the available published evidence on the implementation of DSD and suggest further health systems innovations needed to maximize the public health impact of DSD and future implementation science research directions in this expanding field. RECENT FINDINGS: While early observational data supported the effectiveness of various DSD models, more recently published trials as well as evaluations of national scale-up provide more rigorous evidence for effectiveness and performance at scale. Deeper understanding of the mechanism of effect of various DSD models and generalizability of studies to other countries or contexts remains somewhat limited. Relative implementability of DSD models may differ based on patient preference, logistical complexity of model adoption and maintenance, human resource and pharmacy supply chain needs, and comparative cost-effectiveness. However, few studies to date have evaluated comparative implementation or cost-effectiveness from a health systems perspective. While DSD represents an exciting and promising "next step" in HIV health care delivery, this innovation comes with its own set of implementation challenges. Evidence on the effectiveness of DSD generally supports the use of most DSD models, although it is still unclear which models are most relevant in diverse settings and populations and which are the most cost-effective. Challenges during scale-up highlight the need for accurate differentiation of patients, sustainable inclusion of a new cadre of health care worker (the community health care worker), and substantial strengthening of existing pharmacy supply chains. To maximize the public health impact of DSD, systems need to be patient-centered and adaptive, as well as employ robust quality improvement processes.Item Application of a Multistate Model to Evaluate Visit Burden and Patient Stability to Improve Sustainability of Human Immunodeficiency Virus Treatment in Zambia.(2018-Sep-28) Roy M; Holmes C; Sikazwe I; Savory T; Mwanza MW; Bolton Moore C; Mulenga K; Czaicki N; Glidden DV; Padian N; Geng E; Division of Epidemiology, University of California Berkeley.; Division of HIV/AIDS, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco General Hospital.; Centre for Infectious Diseases Research in Zambia, Lusaka.; Department of Epidemiology and Biostatistics, University of California, San Francisco.; University of Alabama, Birmingham.; Johns Hopkins University School of Medicine, Baltimore, Maryland.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Differentiated service delivery (DSD) for human immunodeficiency virus (HIV)-infected persons who are clinically stable on antiretroviral therapy (ART) has been embraced as a solution to decrease access barriers and improve quality of care. However, successful DSD implementation is dependent on understanding the prevalence, incidence, and durability of clinical stability. METHODS: We evaluated visit data in a cohort of HIV-infected adults who made at least 1 visit between 1 March 2013 and 28 February 2015 at 56 clinics in Zambia. We described visit frequency and appointment intervals using conventional stability criteria and used a mixed-effects linear regression model to identify predictors of appointment interval. We developed a multistate model to characterize patient stability over time and calculated incidence rates for transition between states. RESULTS: Overall, 167819 patients made 3418018 post-ART initiation visits between 2004 and 2015. Fifty-four percent of visits were pharmacy refill-only visits, and 24% occurred among patients on ART for >6 months and whose current CD4 was >500 cells/mm3. Median appointment interval at clinician visits was 59 days, and time on ART and current CD4 were not strong predictors of appointment interval. Cumulative incidence of clinical stability was 66.2% at 2 years after enrollment, but transition to instability (31 events per 100 person-years) and lapses in care (41 events per100 person-years) were common. CONCLUSIONS: Current facility-based care was characterized by high visit burden due to pharmacy refills and among treatment-experienced patients. Differentiated service delivery models targeted toward stable patients need to be adaptive given that clinical stability was highly transient and lapses in care were common.Item 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.Item Estimating the real-world effects of expanding antiretroviral treatment eligibility: Evidence from a regression discontinuity analysis in Zambia.(2018-Jun) Mody A; Sikazwe I; Czaicki NL; Wa Mwanza M; Savory T; Sikombe K; Beres LK; Somwe P; Roy M; Pry JM; Padian N; Bolton-Moore C; Holmes CB; Geng EH; Department of Public Health, University of California, Davis, Davis, California, United States of America.; Division of Epidemiology, University of California, Berkeley, Berkeley, California, United States of America.; Department of International Health, Johns Hopkins University School of Public Health, 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.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; 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)BACKGROUND: Although randomized trials have established the clinical efficacy of treating all persons living with HIV (PLWHs), expanding treatment eligibility in the real world may have additional behavioral effects (e.g., changes in retention) or lead to unintended consequences (e.g., crowding out sicker patients owing to increased patient volume). Using a regression discontinuity design, we sought to assess the effects of a previous change to Zambia's HIV treatment guidelines increasing the threshold for treatment eligibility from 350 to 500 cells/μL to anticipate effects of current global efforts to treat all PLWHs. METHODS AND FINDINGS: We analyzed antiretroviral therapy (ART)-naïve adults who newly enrolled in HIV care in a network of 64 clinics operated by the Zambian Ministry of Health and supported by the Centre for Infectious Disease Research in Zambia (CIDRZ). Patients were restricted to those enrolling in a narrow window around the April 1, 2014 change to Zambian HIV treatment guidelines that raised the CD4 threshold for treatment from 350 to 500 cells/μL (i.e., August 1, 2013, to November 1, 2014). Clinical and sociodemographic data were obtained from an electronic medical record system used in routine care. We used a regression discontinuity design to estimate the effects of this change in treatment eligibility on ART initiation within 3 months of enrollment, retention in care at 6 months (defined as clinic attendance between 3 and 9 months after enrollment), and a composite of both ART initiation by 3 months and retention in care at 6 months in all new enrollees. We also performed an instrumental variable (IV) analysis to quantify the effect of actually initiating ART because of this guideline change on retention. Overall, 34,857 ART-naïve patients (39.1% male, median age 34 years [IQR 28-41], median CD4 268 cells/μL [IQR 134-430]) newly enrolled in HIV care during this period; 23,036 were analyzed after excluding patients around the threshold to allow for clinic-to-clinic variations in actual guideline uptake. In all newly enrolling patients, expanding the CD4 threshold for treatment from 350 to 500 cells/μL was associated with a 13.6% absolute increase in ART initiation within 3 months of enrollment (95% CI, 11.1%-16.2%), a 4.1% absolute increase in retention at 6 months (95% CI, 1.6%-6.7%), and a 10.8% absolute increase in the percentage of patients who initiated ART by 3 months and were retained at six months (95% CI, 8.1%-13.5%). These effects were greatest in patients who would have become newly eligible for ART with the change in guidelines: a 43.7% increase in ART initiation by 3 months (95% CI, 37.5%-49.9%), 13.6% increase in retention at six months (95% CI, 7.3%-20.0%), and a 35.5% increase in the percentage of patients on ART at 3 months and still in care at 6 months [95% CI, 29.2%-41.9%). We did not observe decreases in ART initiation or retention in patients not directly targeted by the guideline change. An IV analysis found that initiating ART in response to the guideline change led to a 37.9% (95% CI, 28.8%-46.9%) absolute increase in retention in care. Limitations of this study include uncertain generalizability under newer models of care, lack of laboratory data (e.g., viral load), inability to account for earlier stages in the HIV care cascade (e.g., HIV testing and linkage), and potential for misclassification of eligibility status or outcome. CONCLUSIONS: In this study, guidelines raising the CD4 threshold for treatment from 350 to 500 cells/μL were associated with a rapid rise in ART initiation as well as enhanced retention among newly treatment-eligible patients, without negatively impacting patients with lower CD4 levels. These data suggest that health systems in Zambia and other high-prevalence settings could substantially enhance engagement even among those with high CD4 levels (i.e., above 500 cells/μL) by expanding treatment without undermining existing care standards.Item Evaluation of kidney function among people living with HIV initiating antiretroviral therapy in Zambia.(2022) Pry JM; Vinikoor MJ; Bolton Moore C; Roy M; Mody A; Sikazwe I; Sharma A; Chihota B; Duran-Frigola M; Daultrey H; Mutale J; Kerkhoff AD; Geng EH; Pollock BH; Vera JH; School of Medicine, University of California, Davis, California, United States of America.; School of Medicine University of Alabama, Birmingham, Alabama, United States of America.; Ersilia Open Source Initiative, Cambridge, United Kingdom.; School of Medicine, Washington University, St. Louis, Missouri, United States of America.; School of Medicine, University of California, San Francisco, California, United States of America.; Centre for Infectious Disease Research Zambia (CIDRZ), Lusaka, Zambia.; Department of Global Health and Infection, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom.As the response to the HIV epidemic in sub-Saharan Africa continues to mature, a growing number of people living with HIV (PLHIV) are aging and risk for non-communicable diseases increases. Routine laboratory tests of serum creatinine have been conducted to assess HIV treatment (ART) suitability. Here we utilize those measures to assess kidney function impairment among those initiating ART. Identification of non-communicable disease (NCD) risks among those in HIV care creates opportunity to improve public health through care referral and/or NCD/HIV care integration. We estimated glomerular filtration rates (eGFR) using routinely collected serum creatinine measures among a cohort of PLHIV with an HIV care visit at one of 113 Centre for Infectious Disease Research Zambia (CIDRZ) supported sites between January 1, 2011 and December 31, 2017, across seven of the ten provinces in Zambia. We used mixed-effect Poisson regression to assess predictors of eGFR <60ml/min/1.73m2 allowing random effects at the individual and facility level. Additionally, we assessed agreement between four eGFR formulae with unadjusted CKD-EPI as a standard using Scott/Fleiss method across five categories of kidney function. A total of 72,933 observations among 68,534 individuals met the inclusion criteria for analysis. Of the 68,534, the majority were female 41,042 (59.8%), the median age was 34 (interquartile range [IQR]: 28-40), and median CD4 cell count was 292 (IQR: 162-435). The proportion of individuals with an eGFR <60ml/min/1.73m2 was 6.9% (95% CI: 6.7-7.1%) according to the unadjusted CKD-EPI equation. There was variation in agreement across eGFR formulas considered compared to unadjusted CKD-EPI (χ2 p-value <0.001). Estimated GFR less than 60ml/min/1.73m2, per the unadjusted CKD-EPI equation, was significantly associated with age, sex, body mass index, and blood pressure. Using routine serum creatinine measures, we identified a significant proportion of individuals with eGFR indicating moderate or great kidney function impairment among PLHIV initiating ART in Zambia. It is possible that differentiated service delivery models could be developed to address this subset of those in HIV care with increased risk of chronic kidney disease.Item Improved Retention With 6-Month Clinic Return Intervals for Stable Human Immunodeficiency Virus-Infected Patients in Zambia.(2018-Jan-06) Mody A; Roy M; Sikombe K; Savory T; Holmes C; Bolton-Moore C; Padian N; Sikazwe I; Geng E; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Division of HIV, ID, and Global Medicine, University of California, San Francisco and Zuckerberg San Francisco General Hospital.; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland.; Division of Infectious Diseases, University of Alabama, Birmingham.; Division of Epidemiology, University of California, Berkeley.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Extending appointment intervals for stable HIV-infected patients in sub-Saharan Africa can reduce patient opportunity costs and decongest overcrowded facilities. METHODS: We analyzed a cohort of stable HIV-infected adults (on treatment with CD4 >200 cells/μL for more than 6 months) who presented for clinic visits in Lusaka, Zambia. We used multilevel, mixed-effects logistic regression adjusting for patient characteristics, including prior retention, to assess the association between scheduled appointment intervals and subsequent missed visits (>14 days late to next visit), gaps in medication (>14 days late to next pharmacy refill), and loss to follow-up (LTFU; >90 days late to next visit). RESULTS: A total of 62084 patients (66.6% female, median age 38, median CD4 438 cells/μL) made 501281 visits while stable on antiretroviral therapy. Most visits were scheduled around 1-month (25.0% clinical, 44.4% pharmacy) or 3-month intervals (49.8% clinical, 35.2% pharmacy), with fewer patients scheduled at 6-month intervals (10.3% clinical, 0.4% pharmacy). After adjustment and compared to patients scheduled to return in 1 month, patients with six-month clinic return intervals were the least likely to miss visits (adjusted odds ratio [aOR], 0.20; 95% confidence interval [CI], 0.17-0.24); miss medication pickups (aOR, 0.47; 95% CI 0.39-0.57), and become LTFU prior to the next visit (aOR, 0.41; 95% CI, 0.31-0.54). CONCLUSIONS: Six-month clinic return intervals were associated with decreased lateness, gaps in medication, and LTFU in stable HIV-infected patients and may represent a promising strategy to reduce patient burdens and decongest clinics.Item Participation in adherence clubs and on-time drug pickup among HIV-infected adults in Zambia: A matched-pair cluster randomized trial.(2020-Jul) Roy M; Bolton-Moore C; Sikazwe I; Mukumbwa-Mwenechanya M; Efronson E; Mwamba C; Somwe P; Kalunkumya E; Lumpa M; Sharma A; Pry J; Mutale W; Ehrenkranz P; Glidden DV; Padian N; Topp S; Geng E; Holmes CB; University of California, Davis, Davis, California, United States of America.; University of California, Berkeley, Berkeley, California, United States of America.; University of Alabama, Tuscaloosa, Alabama, United States of America.; Bill and Melinda Gates Foundation, Seattle, Washington, United States of America.; James Cook University, Townsville, Queensland, Australia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of California, San Francisco, San Fancisco, California, United States of America.; Johns Hopkins University, Baltimore, Maryland, United States of America.; Center for Global Health Practice and Impact, Georgetown University School of Medicine, Washington, District of Columbia, United States of America.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)BACKGROUND: Current models of HIV service delivery, with frequent facility visits, have led to facility congestion, patient and healthcare provider dissatisfaction, and suboptimal quality of services and retention in care. The Zambian urban adherence club (AC) is a health service innovation designed to improve on-time drug pickup and retention in HIV care through off-hours facility access and pharmacist-led group drug distribution. Similar models of differentiated service delivery (DSD) have shown promise in South Africa, but observational analyses of these models are prone to bias and confounding. We sought to evaluate the effectiveness and implementation of ACs in Zambia using a more rigorous study design. METHODS AND FINDINGS: Using a matched-pair cluster randomized study design (ClinicalTrials.gov: NCT02776254), 10 clinics were randomized to intervention (5 clinics) or control (5 clinics). At each clinic, between May 19 and October 27, 2016, a systematic random sample was assessed for eligibility (HIV+, age ≥ 14 years, on ART >6 months, not acutely ill, CD4 count not <200 cells/mm3) and willingness to participate in an AC. Clinical and antiretroviral drug pickup data were obtained through the existing electronic medical record. AC meeting attendance data were collected at intervention facilities prospectively through October 28, 2017. The primary outcome was time to first late drug pickup (>7 days late). Intervention effect was estimated using unadjusted Kaplan-Meier survival curves and a Cox proportional hazards model to derive an adjusted hazard ratio (aHR). Medication possession ratio (MPR) and implementation outcomes (adoption, acceptability, appropriateness, feasibility, and fidelity) were additionally evaluated as secondary outcomes. Baseline characteristics were similar between 571 intervention and 489 control participants with respect to median age (42 versus 41 years), sex (62% versus 66% female), median time since ART initiation (4.8 versus 5.0 years), median CD4 count at study enrollment (506 versus 533 cells/mm3), and baseline retention (53% versus 55% with at least 1 late drug pickup in previous 12 months). The rate of late drug pickup was lower in intervention participants compared to control participants (aHR 0.26, 95% CI 0.15-0.45, p < 0.001). Median MPR was 100% in intervention participants compared to 96% in control participants (p < 0.001). Although 18% (683/3,734) of AC group meeting visits were missed, on-time drug pickup (within 7 days) still occurred in 51% (350/683) of these missed visits through alternate means (use of buddy pickup or early return to the facility). Qualitative evaluation suggests that the intervention was acceptable to both patients and providers. While patients embraced the convenience and patient-centeredness of the model, preference for traditional adherence counseling and need for greater human resources influenced intervention appropriateness and feasibility from the provider perspective. The main limitations of this study were the small number of clusters, lack of viral load data, and relatively short follow-up period. CONCLUSIONS: ACs were found to be an effective model of service delivery for reducing late ART drug pickup among HIV-infected adults in Zambia. Drug pickup outside of group meetings was relatively common and underscores the need for DSD models to be flexible and patient-centered if they are to be effective. TRIAL REGISTRATION: ClinicalTrials.gov NCT02776254.