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Background: Children (aged 0-14 years) living with HIV often experience lower rates of HIV diagnosis, treatment, and viral load suppression. In Haiti, only 63% of children living with HIV know their HIV status (compared to 85% overall), 63% are on treatment (compared to 85% overall), and 48% are virally suppressed (compared to 73% overall). Electronic medical records (EMRs) can improve HIV care and patient outcomes, but these benefits are largely dependent on providers having access to quality and nonmissing data. Objective: We sought to understand the associations between EMR data missingness and interruption in antiretroviral therapy treatment by age group (pediatric vs adult). Methods: We assessed associations between patient intake record data missingness and interruption in treatment (IIT) status at 6 and 12 months post antiretroviral therapy initiation using patient-level data drawn from iSanté, the most widely used EMR in Haiti. Missingness was assessed for tuberculosis diagnosis, World Health Organization HIV stage, and weight using a composite score indicator (ie, the number of indicators of interest missing). Risk ratios were estimated using marginal parameters from multilevel modified Poisson models with robust error variances and random intercepts for the facility to account for clustering. Results: Data were drawn from 50 facilities and comprised 31,457 patient records from people living with HIV, of which 1306 (4.2%) were pediatric cases. Pediatric patients were more likely than adult patients to experience IIT (n=431, 33% vs n=7477, 23.4% at 6 months; P<.001). Additionally, pediatric patient records had higher data missingness, with 581 (44.5%) pediatric records missing at least 1 indicator of interest, compared to 7812 (25.9%) adult records (P<.001). Among pediatric patients, each additional indicator missing was associated with a 1.34 times greater likelihood of experiencing IIT at 6 months (95% CI 1.08-1.66; P=.008) and 1.24 times greater likelihood of experiencing IIT at 12 months (95% CI 1.05-1.46; P=.01). These relationships were not statistically significant for adult patients. Compared to pediatric patients with 0 missing indicators, pediatric patients with 1, 2, or 3 missing indicators were 1.59 (95% CI 1.26-2.01; P<.001), 1.74 (95% CI 1.02-2.97; P=.04), and 2.25 (95% CI 1.43-3.56; P=.001) times more likely to experience IIT at 6 months, respectively. Among adult patients, compared to patients with 0 indicators missing, having all 3 indicators missing was associated with being 1.32 times more likely to experience IIT at 6 months (95% CI 1.03-1.70; P=.03), while there was no association with IIT status for other levels of missingness. Conclusions: These findings suggest that both EMR data quality and quality of care are lower for children living with HIV in Haiti. This underscores the need for further research into the mechanisms by which EMR data quality impacts the quality of care and patient outcomes among this population. Efforts to improve both EMR data quality and quality of care should consider prioritizing pediatric patients.
RESUMO
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.
