Introduction Our study describes changes in HIV care service delivery and continuity of HIV antiretroviral therapy (ART) for people living with HIV (PLHIV) during the 8 weeks before and after diagnosis of the first coronavirus disease 2019 (COVID-19) cases in Haiti on March 19, 2020. Methods Using data from 96 out of 167 health facilities offering ART services, we compared four ART program indicators: (1) count of HIV visits; (2) proportion of ART dispenses in community-based settings (DAC); (3) proportion of multi-month dispensing of ART medications > 6 months (> 6 m MMD); and (4) proportion of timely ART refills. We used uncontrolled interrupted time series (ITS) models to estimate slope and level changes in each indicator with the arrival of COVID-19. Results and Discussion From week 1 to week 16, the average number of HIV visits fell from 121.5 to 92.5 visits, the proportion of DAC rose from 22.7% to 36.7%, the proportion of > 6 m MMD rose from 29.4% to 48.4%, and the proportion of timely ART refills fell from 51.9% to 43.8%. The ITS models estimated abrupt increases of 36% in > 6 m MMD (p < 0.001) and 37% in DAC (p < 0.001) at the time of COVID-19 arrival, and no change after arrival of COVID-19. The was an abrupt decline of 18% in timely ART refills with the arrival of COVID-19 and a decline of 1% per week thereafter, both non-statistically significant changes. Conclusions The sudden changes in HIV service utilization represent dramatic adaptations needed to mitigate primary and secondary effects of the COVID-19 pandemic on PLHIV. This study underscores the urgency of optimizing ART delivery models in Haiti and beyond, in order to maintain progress toward HIV epidemic control.

Electronic health information systems, including electronic medical records (EMRs), have the potential to improve access to information and quality of care, among other things. Success factors and challenges for novel EMR implementations in low-resource settings have increasingly been studied, although less is known about maturing systems and sustainability. One systematic review identified seven categories of implementation success factors: ethical, financial, functionality, organizational, political, technical and training. This case study applies this framework to iSanté, Haiti's national EMR in use in more than 100 sites and housing records for more than 750 000 patients. The author group, consisting of representatives of different agencies within the Haitian Ministry of Health (MSPP), funding partner the Centers for Disease Control and Prevention (CDC) Haiti, and implementing partner the International Training and Education Center for Health (I-TECH), identify successes and lessons learned according to the seven identified categories, and propose an additional cross-cutting category, sustainability. Factors important for long-term implementation success of complex information systems are balancing investments in hardware and software infrastructure upkeep, user capacity and data quality control; designing and building a system within the context of the greater eHealth ecosystem with a plan for interoperability and data exchange; establishing system governance and strong leadership to support local system ownership and planning for system financing to ensure sustainability. Lessons learned from 10 years of implementation of the iSanté EMR system are relevant to sustainability of a full range of increasingly interrelated information systems (e.g. for laboratory, supply chain, pharmacy and human resources) in the health sector in low-resource settings.

No abstract

BackgroundThe adoption of electronic medical record systems in resource-limited settings can help clinicians monitor patients' adherence to HIV antiretroviral therapy (ART) and identify patients at risk of future ART failure, allowing resources to be targeted to those most at risk.MethodsAmong adult patients enrolled on ART from 2005–2013 at two large, public-sector hospitals in Haiti, ART failure was assessed after 6–12 months on treatment, based on the World Health Organization's immunologic and clinical criteria. We identified models for predicting ART failure based on ART adherence measures and other patient characteristics. We assessed performance of candidate models using area under the receiver operating curve, and validated results using a randomly-split data sample. The selected prediction model was used to generate a risk score, and its ability to differentiate ART failure risk over a 42-month follow-up period was tested using stratified Kaplan Meier survival curves.ResultsAmong 923 patients with CD4 results available during the period 6–12 months after ART initiation, 196 (21.2%) met ART failure criteria. The pharmacy-based proportion of days covered (PDC) measure performed best among five possible ART adherence measures at predicting ART failure. Average PDC during the first 6 months on ART was 79.0% among cases of ART failure and 88.6% among cases of non-failure (p<0.01). When additional information including sex, baseline CD4, and duration of enrollment in HIV care prior to ART initiation were added to PDC, the risk score differentiated between those who did and did not meet failure criteria over 42 months following ART initiation.ConclusionsPharmacy data are most useful for new ART adherence alerts within iSanté. Such alerts offer potential to help clinicians identify patients at high risk of ART failure so that they can be targeted with adherence support interventions, before ART failure occurs.

While Haiti has scaled up use of antiretroviral therapy (ART), current studies suggest sub-optimal adherence threatens long-term viral suppression in this understudied setting. Patient-provider communication (PPC) and information, motivation, and behavioral skills (IMB) have been implicated in ART adherence globally. However, no studies have examined their relevance in Haiti. The present mixed-methods study utilized cross-sectional survey data from 128 ART-initiating patients at 2 large HIV treatment sites in Haiti, as well as observational data from 12 clinic visits, to document associations between adherence-related PPC and IMB. Multivariate regression analyses suggested that PPC is associated with IMB constructs. At the bivariate level, more effective PPC was associated with higher levels of adherence-related information and motivation, but not behavioral skills. Observational findings indicate infrequent and non-collaborative adherence support. Taken together, findings lay the groundwork for additional research in the area of PPC, IMB, and ART adherence in Haiti.