Strengthening Routine Data Systems to Track the HIV Epidemic and Guide the Response in Sub-Saharan Africa

Adopting Data to Care to Identify and Address Gaps in Services for Children and Adolescents Living With HIV in Mozambique

BACKGROUND

The Data to Care (D2C) strategy uses multiple sources of complementary data on HIV clients and related services to identify individuals with gaps in HIV treatment. Although D2C has been widely used in the United States, there is no evidence on its use in other settings, such as countries most affected by the epidemic.

STRATEGY IMPLEMENTATION

The D2C strategy was implemented within the context of a project that provided community-based support to children and adolescents living with HIV (C/ALHIV) in Mozambique. A data tracking tool and a standard operating procedure manual for local partner community organizations and health care facilities were developed to support the effort. Project staff met with local project implementing partners to discuss and coordinate the intervention in pilot health facilities.

STRATEGY PILOTING

The project initiated a pilot D2C intervention in 2019, working with 14 health facilities across 5 additional districts within 1 province. COVida project data were compared with clinical data from facilities serving C/ALHIV. The D2C intervention identified gaps in HIV treatment for a substantial number of C/ALHIV, and targeted support services were provided to address those gaps. Viral load (VL) monitoring was added in March 2020. Before the intervention, 71% of C/ALHIV reported to be on HIV treatment by their caregivers were documented as on treatment in health facilities. Support interventions targeted those not on treatment, and this proportion increased to 96% within 1 year of implementation. Additionally, 12 months later, the proportion of C/ALHIV with a documented VL test increased from 52% to 72%.

CONCLUSION

Introducing the D2C pilot intervention was associated with substantial improvements in HIV treatment for C/ALHIV, including increased linkage to and continuity in treatment and increased VL testing. D2C may be a useful approach to improve health outcomes for C/ALHIV in settings outside of the United States.

Patterns of availability and accuracy of risk factor data for cardiovascular diseases among people initiated on antiretroviral therapy at selected health facilities in Khomas region, Namibia: a retrospective, cross-sectional, quantitative study

Introduction

quality data is a prerequisite for timely decision-making and measuring health outcomes in public health settings. Comorbidities such as cardiovascular diseases (CVDs) among people living with HIV (PLHIV), require a robust system that ensures credible data at all data-producing levels. The study at determining the level of availability and completeness of CVDs risk factors data of PLHIV.

Methods

a quantitative study was conducted to extract CVDs risk factors data retrospectively from 529 patient care booklets (PCBs) between 2004 and 2017. The analysis was done with the Statistical Package for Social Sciences (SPSS) version 25. Pearson Chi-Square was used to test for associations. The level of significance was at p ≤ 0.05.

Results

the study revealed that 72.8% of patients are at risk of CVDs due to incomplete demographics (73.72%) and other systemic data (41.18%). A significant association was found (Pearson Chi-Square test 19.907; p-value of 0.001) between average visits per year, accurate data recording, and active status of the patient. Lost to follow-up (15%) and true retention (27.2%) was significantly associated with the last Antiretroviral Therapy (ART) status of a patient (Pearson Chi-Square test 87.754; p-value of 0.001).

Conclusion

the study that despite concerted efforts to improve data quality, the availability and completeness of data remain unsatisfactory. Lack of harmonised data screening and analysis efforts for CVDs risk factors is found to be a significant risk factor in ensuring integrated routine measuring of CVDs health outcomes for PLHIV.

Using electronic medical records to understand the impact of SARS-CoV-2 lockdown measures on maternal and neonatal outcomes in Kampala, Uganda

Kawempe National Referral Hospital (KNRH) is a tertiary facility with over 21,000 pregnant or postpartum women admitted annually. The hospital, located in Kampala, Uganda, uses an Electronic Medical Records (EMR) system to capture patient data. Used since 2017, this readily available electronic health record (EHR) has the benefit of informing real-time clinical care, especially during pandemics such as COVID-19. We investigated the use of EHR to assess risk factors for adverse pregnancy and infant outcomes that can be incorporated into a data visualization dashboard for real time decision making during pandemics. This study analysed data from the UgandaEMR collected at pre-, during- and post-lockdown timepoints of the COVID-19 pandemic to determine its use in monitoring risk factors for adverse pregnancy and neonatal outcomes. Logistic regression models were used to identify the risk factors for adverse pregnancy and maternal outcomes including prematurity, obstetric complications, still births and neonatal deaths. Pearson chi-square test was used for pair-wise comparison of the outcomes at the various stages of the pandemic. Data analysis was performed in R, within the International COVID-19 Data Alliance (ICODA) workbench. A visualisation dashboard was developed based on the risk factors, to support decision making and improved healthcare delivery. Comparison of pre-and post-lockdown variables showed an increased risk of pre-term birth (adjusted Odds Ratio (aOR = 1.67, 95% confidence interval (CI) 1.38-2.01)); obstetric complications (aOR = 2.77, 95% CI: 2.53-3.03); immediate neonatal death (aOR = 3.89, 95% CI 2.65-5.72) and Caesarean section (aOR = 1.22, 95% CI 1.11-1.34). The significant risk factors for adverse outcomes were younger maternal age and gestational age <32weeks at labour. This study demonstrates the feasibility of using EHR to identify and monitor at-risk subpopulation groups accessing health services in real time. This information is critical for the development of timely and appropriate interventions in outbreaks and pandemic situations.

Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation

Background

Efforts to address infant mortality disparities in Ohio have historically been adversely affected by the lack of consistent data collection and infrastructure across the community-based organizations performing front-line work with expectant mothers, and there is no established template for implementing such systems in the context of diverse technological capacities and varying data collection magnitude among participating organizations.

Methods

Taking into account both the needs and limitations of participating community-based organizations, we created a data collection infrastructure that was refined by feedback from sponsors and the organizations to serve as both a solution to their existing needs and a template for future efforts in other settings.

Results

By standardizing the collected data elements across participating organizations, integration on a scale large enough to detect changes in a rare outcome such as infant mortality was made possible. Datasets generated through the use of the established infrastructure were robust enough to be matched with other records, such as Medicaid and birth records, to allow more extensive analysis.

Conclusion

While a consistent data collection infrastructure across multiple organizations does require buy-in at the organizational level, especially among participants with little to no existing data collection experience, an approach that relies on an understanding of existing barriers, iterative development, and feedback from sponsors and participants can lead to better coordination and sharing of information when addressing health concerns that individual organizations may struggle to quantify alone.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07393-1.

Quantifying clinic transfers among people living with HIV in the Western Cape, South Africa: a retrospective spatial analysis

OBJECTIVES

For persons living with HIV (PLWH) in long-term care, clinic transfers are common and influence sustained engagement in HIV care, as they are associated with significant time out-of-care, low CD4 count, and unsuppressed viral load on re-entry. Despite the geospatial nature of clinic transfers, there exist limited data on the geospatial trends of clinic transfers to guide intervention development. In this study, we investigate the geospatial characteristics and trends of clinic transfers among PLWH on antiretroviral therapy (ART) in the Western Cape Province of South Africa.

DESIGN

Retrospective spatial analysis.

SETTING

PLWH who initiated ART treatment between 2012 and 2016 in South Africa's Western Cape Province were followed from ART initiation to their last visit prior to 2017. Deidentified electronic medical records from all public clinical, pharmacy, and laboratory visits in the Western Cape were linked across space and time using a unique patient identifier number.

PARTICIPANTS

4176 ART initiators in South Africa (68% women).

METHODS

We defined a clinic transfer as any switch between health facilities that occurred on different days and measured the distance between facilities using geodesic distance. We constructed network flow maps to evaluate geospatial trends in clinic transfers over time, both for individuals' first transfer and overall.

RESULTS

Two-thirds of ART initiators transferred health facilities at least once during follow-up. Median distance between all clinic transfer origins and destinations among participants was 8.6 km. Participant transfers were heavily clustered around Cape Town. There was a positive association between time on ART and clinic transfer distance, both among participants' first transfers and overall.

CONCLUSION

This study is among the first to examine geospatial trends in clinic transfers over time among PLWH. Our results make clear that clinic transfers are common and can cluster in urban areas, necessitating better integrated health information systems and HIV care.

The Shinyanga Patient: A Patient's Journey through HIV Treatment Cascade in Rural Tanzania

The 2016-2017 Tanzania HIV Impact Survey (THIS) reported the accomplishments towards the 90-90-90 global HIV targets at 61-94-87, affirming the need to focus on the first 90 (i.e., getting 90% of people living with HIV (PLHIV) tested). We conducted a patient-pathway analysis to understand the gap observed, by assessing the alignment between where PLHIV seek healthcare and where HIV services are available in the Shinyanga region, Tanzania. We used existing and publicly available data from the National AIDS Control program, national surveys, registries, and relevant national reports. Region-wide, the majority (n = 458/722, 64%) of THIS respondents accessed their last HIV test at public sector facilities. There were 65.9%, 45.1%, and 74.1% who could also access antiretroviral therapy (ART), CD4 testing, and HIV viral load testing at the location of their last HIV test, respectively. In 2019, the viral suppression rate estimated among PLHIV on ART in the Shinyanga region was 91.5%. PLHIV access HIV testing mostly in public health facilities; our research shows that synergies can be achieved to improve access to services further down the cascade in this sector. Furthermore, effective engagement with the private sector (not-for-profit and for-profit) will help to achieve the last mile toward ending the HIV epidemic.

Quality of antiretroviral therapy services in Ghana: Implications for the HIV response in resource-constrained settings

Objective

Number of People Living with Human Immune-deficiency Virus in Ghana is over 300,000 and unmet need for antiretroviral therapy is approximately 60%. This study sought to determine the quality of antiretroviral therapy services in selected ART sites in Ghana using the input-process-outcome approach.

Methods

This is a descriptive cross-sectional case study that employed modified normative evaluation to assess quality of antiretroviral therapy services in the Oti and Volta regions of Ghana among People Living with HIV (n = 384) and healthcare providers (n = 16). The study was conducted from 11 March to 9 May 2019.

Results

Resources for managing HIV clients were largely available with the exception of viral load machines, reagents for CD4 counts, and antifungals such as Fluconazole and Cotrimoxazole. Patients enrolled on antiretroviral therapy within 2 weeks was 71% and clients retained in care within 2 weeks of enrolment was 90%. Approximately 26% of enrolled clients recorded viral load suppression; 33% of People Living with HIV who were not insured with the National Health Insurance Scheme paid for some antiretrovirals and cotrimoxazole. Adherence to ART and Cotrimoxazole were 95% and 88%, respectively, using pill count on their last three visits. Time spent with clinical team was among the worst rated (mean = 2.98, standard deviation = 0.54) quality indicators by patients contrary to interpersonal relationship with health provider which was among the best rated (mean = 3.25, standard deviation = 0.41) indicators.

Conclusion

Observed quality care gaps could potentially reverse gains made in HIV prevention and control in Ghana if not addressed timely; an important value addition of this study is the novel application of input-process-outcome approach in the context of antiretroviral therapy services in Ghana. There is also the need for policy dialogue on inclusion of medications for prophylaxis in antiretroviral therapy on the National Health Insurance Scheme to promote adherence and retention.

Key informant perspectives on the challenges and opportunities for using routine health data for decision-making in Senegal

Background

Increasing the performance of routine health information systems (RHIS) is an important policy priority both globally and in Senegal. As RHIS data become increasingly important in driving decision-making in Senegal, it is imperative to understand the factors that determine their use.

Methods

Semi-structured interviews were conducted with 18 high- and mid-level key informants active in the malaria, tuberculosis and HIV programmatic areas in Senegal. Key informants were employed in the relevant divisions of the Senegal Ministry of Health or nongovernmental / civil society organizations. We asked respondents questions related to the flow, quality and use of RHIS data in their organizations. A framework approach was used to analyze the qualitative data.

Results

Although the respondents worked at the strategic levels of their respective organizations, they consistently indicated that data quality and data use issues began at the operational level of the health system before the data made its way to the central level. We classify the main identified barriers and facilitators to the use of routine data into six categories and attempt to describe their interrelated nature. We find that data quality is a central and direct determinant of RHIS data use. We report that a number of upstream factors in the Senegal context interact to influence the quality of routine data produced. We identify the sociopolitical, financial and system design determinants of RHIS data collection, dissemination and use. We also discuss the organizational and infrastructural factors that influence the use of RHIS data.

Conclusions

We recommend specific prescriptive actions with potential to improve RHIS performance in Senegal, the quality of the data produced and their use. These actions include addressing sociopolitical factors that often interrupt RHIS functioning in Senegal, supporting and motivating staff that maintain RHIS data systems as well as ensuring RHIS data completeness and representativeness. We argue for improved coordination between the various stakeholders in order to streamline RHIS data processes and improve transparency. Finally, we recommend the promotion of a sustained culture of data quality assessment and use.

Brief Report: Improving Early Infant Diagnosis Observations: Estimates of Timely HIV Testing and Mortality Among HIV-Exposed Infants

Background:

Improving efforts toward elimination of mother-to-child transmission of HIV requires timely early infant diagnosis (EID) among all HIV-exposed infants, but the occurrence of timely EID and infant survival may be underascertained in routine, facility-bound program data.

Methods:

From March 2015 to May 2015, we traced a random sample of HIV-positive mother and HIV-exposed infant pairs lost to follow-up for EID in facility registers in Zimbabwe. We incorporated updated information into weighted survival analyses to estimate incidence of EID and death. Reasons for no EID were surveyed from caregivers.

Results:

Among 2651 HIV-positive women attending antenatal care, 1823 (68.8%) infants had no documented EID by 3 months of age. Among a random sample of 643 (35.3%) HIV-exposed infants lost to follow-up for EID, vital status was ascertained among 371 (57.7%) and updated care status obtained from 256 (39.8%) mothers traced. Among all HIV-infected mother–HIV-exposed infant pairs, weighted estimates found cumulative incidence of infant death by 90 days of 3.9% (95% confidence interval: 3.4% to 4.4%). Cumulative incidence of timely EID with death as a competing risk was 60%. The most frequently cited reasons for failure to uptake EID were “my child died” and “I didn't know I should have my child tested.”

Conclusions:

Our findings indicate uptake of timely EID among HIV-exposed infants is underestimated in routine health information systems. High, early mortality among HIV-exposed infants underscores the need to more effectively identify HIV-positive mother–HIV exposed infant pairs at high risk of adverse outcomes and loss to follow-up for enhanced interventions.

Epidemiology of HIV Infection Among HIV-Exposed Infants, Nairobi County, Kenya, 2015

Objective

To characterize human immunodeficiency virus (HIV)-positive infants among HIV-exposed infants (HEIs) in Nairobi County for public health action.

Methods

We conducted a retrospective review of records of HEIs' HIV polymerase chain reaction (PCR) results in Nairobi County in 2015, excluding confirmatory PCR-positive results. HIV-exposed infant registry data were entered into Microsoft Excel and descriptive and associative statistics were calculated with OpenEpi software.

Results

A total of 5802 HEI records were analyzed, with a median age of 4.5 (interquartile range, 8.5) months; 342 (5.9%) tested positive, 51% were female, and 4420 (76.2%) were seen at maternal and child health clinics. Standard highly active antiretroviral therapy intervention was given to 184 (60.3%) of the mothers of exposed infants, and 178 (53%) of the HIV-positive infants received active antiretroviral therapy. A total of 3464 (59.7%) HEIs had PCR done within the first 2 months, and 119 (3.4%) tested positive. The average turnaround time for PCR samples was 28 ± 22 days, and a total of 191 (3.3%) HIV-positive HEIs were exclusively breastfed for the first 6 months of life.

Conclusion

The recorded mother-to-child transmission (MTCT) rate of 5.9% in Nairobi County is lower than the 2015 national rate, which suggests the Nairobi prevention of mother-to-child transmission efforts are moderately effective. However, results from this study show that Kenya will struggle to meet the MTCT 2020 target rate of <5%.

Consolidating strategic information to monitor progress against the UNAIDS 90-90-90 targets: evaluating the operational feasibility of an electronic HIV testing register in Cape Town, South Africa

BACKGROUND

HIV diagnosis in South Africa is based on a point-of-care testing (PoCT) algorithm with paper-based record-keeping. Aggregated testing data are reported routinely. To facilitate improved HIV case-based surveillance, the Western Cape Province implemented a unique pilot intervention to digitise PoCT results, at an individual level, and generate an electronic register using the newly developed Provincial Health Data Centre (PHDC). We describe the intervention (phased) and present an evaluation of the operational feasibility of the intervention. We also offer implementation insights into establishing electronic capture of individual level testing data.

METHODS

Cross-sectional analyses were conducted on records of all patients attending a local Community Health Centre who had an HIV-PoCT during the study period. Data from the intervention were linked to the PHDC using a unique identifier and compared with aggregate data from the paper-based register. Correlation coefficients were calculated to quantify the correlation between the two monthly datasets. To support an understanding of the findings, the Department of Health project management team generated reflections on the implementation process, which were then grouped thematically into implementation lessons.

RESULTS

In total, 11,337 PoCT records were digitised (70% (7954) during Phase I; and 30% (3383) during Phase II). Linkage of forms to the PHDC was 96% in Phase I and 98% in Phase II. Comparison with aggregate data showed high correlation during Phase I, but notable divergence during Phase II. Divergence in Phase II was due to stringent data quality requirements and high clinical staff turnover. Factors supporting implementation success in Phase I included direct oversight of data capturing by a manager with clinical and operational insight. Implementation challenges included operational, health system, and high cost-related issues.

CONCLUSIONS

We demonstrate that rapid digitisation of HIV PoCT data, without compromising currently collected aggregate data, is operationally feasible, and can contribute to person-level longitudinal HIV case-based surveillance. To take to scale, we will need to improve PoCT platforms and clerical and administrative systems. Although we highlight challenges, we demonstrate that electronic HIV testing registers can successfully replace manual registers and improve efforts to monitor and evaluate HIV testing strategies.

Limitations of the UNAIDS 90-90-90 metrics: a simulation-based comparison of cross-sectional and longitudinal metrics for the HIV care continuum

The Joint United Nations Programme on HIV/AIDS (UNAIDS) 90–90–90 and other cross-sectional metrics can lead to potentially counterintuitive conclusions when used to evaluate health systems’ performance. This study demonstrates how time and population dynamics impact UNAIDS 90–90–90 metrics in comparison with a longitudinal analogue.

Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda

Background

National or regional population-based HIV prevalence surveys have small sample sizes at district or sub-district levels; this leads to wide confidence intervals when estimating HIV prevalence at district level for programme monitoring and decision making. Health facility programme data, collected during service delivery is widely available, but since people self-select for HIV testing, HIV prevalence estimates based on it, is subject to selection bias. We present a statistical annealing technique, Hybrid Prevalence Estimation (HPE), that combines a small population-based survey sample with a facility-based sample to generate district level HIV prevalence estimates with associated confidence intervals.

Methods

We apply the HPE methodology to combine the 2011 Uganda AIDS indicator survey with the 2011 health facility HIV testing data to obtain HIV prevalence estimates for districts in Uganda. Multilevel logistic regression was used to obtain the propensity of testing for HIV in a health facility, and the propensity to test was used to combine the population survey and health facility HIV testing data to obtain the HPEs. We assessed comparability of the HPEs and survey-based estimates using Bland Altman analysis.

Results

The estimates ranged from 0.012 to 0.178 and had narrower confidence intervals compared to survey-based estimates. The average difference between HPEs and population survey estimates was 0.00 (95% CI: − 0.04, 0.04). The HPE standard errors were 28.9% (95% CI: 23.4–34.4) reduced, compared to survey-based standard errors. Overall reduction in HPE standard errors compared survey-based standard errors ranged from 5.4 to 95%.

Conclusions

Facility data can be combined with population survey data to obtain more accurate HIV prevalence estimates for geographical areas with small population survey sample sizes. We recommend use of the methodology by district level managers to obtain more accurate HIV prevalence estimates to guide decision making without incurring additional data collection costs.

Beyond mobile phones: exploring using technology to support sustained engagement in care for HIV-infected women on antiretroviral therapy

Disengagement from HIV care has emerged as a challenge to the success of universal test and treat strategies for HIV-infected women. Technology may enhance efforts to monitor and support engagement in HIV care, but implementation barriers and facilitators need to be evaluated. We conducted a mixed-method study among HIV-infected, pregnant women and healthcare workers (HCWs) in Malawi to evaluate barriers and facilitators to three technologies to support monitoring HIV care: (1) text messaging, (2) SIM card scanning and (3) biometric fingerprint scanning. We included 123 HIV-infected, pregnant women and 85 HCWs in a survey, 8 focus group discussions and 5 in-depth interviews. Biometric fingerprint scanning emerged as the preferred strategy to monitor engagement in HIV care. Among HCWs, 70% felt biometrics were very feasible, while 48% thought text messaging and SIM card scanning were feasible. Nearly three quarters (72%) of surveyed women reported they would be very comfortable using biometrics to monitor HIV appointments. Barriers to using text messaging and SIM card scanning included low phone ownership (35%), illiteracy concerns, and frequent selling or changing of mobile phones. Future work is needed to explore the feasibly of implementing biometric fingerprint scanning or other technologies to monitor engagement in HIV care.

Improving Monitoring of Engagement in HIV Care for Women in Option B+: A Pilot Test of Biometric Fingerprint Scanning in Lilongwe, Malawi

Sustained engagement in HIV care is critical to the success of Option B+ for HIV-infected pregnant women. However, monitoring women's engagement in care across clinics and over time is challenging due to migration and clinic transfers. Improved strategies to identify and monitor women's engagement in HIV care across a network of clinics are needed, but have not been pilot tested. We evaluated the feasibility and acceptability of biometric fingerprint scanning to identify women and monitor HIV visit attendance among women in Option B+. Over a 3-month period, we enrolled HIV-infected pregnant women receiving care at two antenatal clinics in Lilongwe, Malawi and monitored their engagement in care using biometric fingerprint scanning and the standard-of-care electronic medical record (EMR) monitoring system. Biometric data was collected by trained research assistants, who uploaded and synced data across study sites daily using wireless internet. We collected data weekly on the biometric scanner performance, reliability, and usability. We assessed the feasibility and acceptability of using biometric fingerprint scanning to record HIV visits during exit interviews with a sample of participants and healthcare workers and by comparing visit concordance between the biometric fingerprint scanning and EMR systems. We enrolled 314 HIV-infected pregnant women and 51 HCWs (n = 365 total participants). The majority of participants felt the biometric fingerprint scanning system was easy to use (64%), required no additional assistance (69%) and met their expectations (76%). No major issues with data security, privacy, or scanner functionality were reported by HIV-infected women or healthcare workers. Of the 542 HIV visits captured during the study period among women in Option B+, 80% were recorded in the biometric fingerprint system versus 51% in the EMR system (PR 1.57, 95% CI 1.43, 1.72, p-value < 0.05). Among HIV-infected pregnant women engaged in HIV care, biometric fingerprint scanning is a feasible and acceptable way to monitor HIV visits and may improve the ability to monitor women's engagement in HIV care over time and across clinics. Biometric fingerprint scanning should be scaled-up and evaluated as an implementation strategy to support sustained engagement in HIV care for women during the perinatal period.

Programmatic mapping and size estimation of key populations to inform HIV programming in Tanzania

INTRODUCTION

A programmatic mapping and size estimation study was conducted in 24 districts in 5 regions of Tanzania to estimate the size and locations of female sex workers (FSW) and men who have sex with men (MSM) to inform the HIV programming for Key Populations.

METHODOLOGY

Data were collected at two levels: first, interviews were conducted with informants to identify venues where FSWs and MSM frequent. Secondly, the size of MSM and FSWs were estimated through interviews with FSWs, MSM and other informants at the venue. The venue estimates were aggregated to generate the ward level estimates. Correction factors were then applied to adjust for MSM/FSW counted twice or more, absent from the venues on the mapping day or remain online and hidden. The ward size estimates for mapped wards were extrapolated to non-mapped wards and aggregated to generate district and regional level estimates.

RESULTS

A total of 4,557 level I interviews were conducted. Further, 3,098 FSWs and 1,074 other informants at the FSWs venues and 558 MSM and 210 other informants at the MSM venues were interviewed during level II. The mapping survey identified 6,658 FSW, 1,099 FSW and MSM and 50 MSM venues in 75 wards. A total of 118,057 (range: 108,269 to 127,845) FSWs and 23,771 (range: 22,087 to 25,454) MSM were estimated in the study regions after extrapolation and accounting for correction factors. It was estimated that 5.6% and 1.3% of the female and male population of reproductive age (15-49 years old) could be FSWs and MSM in the study regions, respectively.

CONCLUSION

This study provides the baseline figures for planning, target setting and monitoring of the HIV intervention services in the study areas and geographic prioritisation of the response by allocating more resources to areas with a large number of FSWs and MSM.

Unmasking the vulnerabilities of uninfected children exposed to HIV

Although programmes to reduce vertical transmission of HIV mean fewer children are acquiring HIV, more needs to be done to understand the longer term outcomes of exposure, say Vundli Ramokolo and colleagues

Approaches to Improve the Surveillance, Monitoring, and Management of Noncommunicable Diseases in HIV-Infected Persons: Viewpoint

Low-income and middle-income countries (LMICs) are undergoing an epidemiological transition, in which the burden of noncommunicable diseases (NCDs) is rising and mortality will shift from infectious diseases to NCDs. Specifically, cardiovascular disease, diabetes, renal diseases, chronic respiratory diseases, and cancer are becoming more prevalent. In some regions, particularly sub-Saharan Africa, the dual HIV and NCD epidemics will pose challenges because their joint burden will have adverse effects on the quality of life and will likely increase global inequities. Given the austere clinical infrastructure in many LMICs, innovative models of care delivery are needed to provide comprehensive care in resource-limited settings. Improved data collection and surveillance of NCDs among HIV-infected persons in LMICs are necessary to inform integrated NCD-HIV prevention, care, and treatment models that are effective across a range of geographic settings. These efforts will preserve the considerable investments that have been made to prevent the number of lives lost to HIV, promote healthy aging of persons living with HIV, and contribute to meeting United Nations Sustainable Development Goals.

Know Your Epidemic, Strengthen Your Response: Developing a New HIV Surveillance Architecture to Guide HIV Resource Allocation and Target Decisions

To guide HIV prevention and treatment activities up to 2020, we need to generate and make better use of high quality HIV surveillance data. To highlight our surveillance needs, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Improving Global and National Responses to the HIV Epidemic Through High Quality HIV Surveillance Data.” We provide a summary of these papers and highlight methods for developing a new HIV surveillance architecture.