Antimicrobial susceptibility of Neisseria gonorrhoeae isolates and syndromic treatment of men with urethral discharge in Kingston, Jamaica, 2018-19.

OBJECTIVES: To quantitatively determine the antimicrobial susceptibility of clinical Neisseria gonorrhoeae isolates from men with urethral discharge in Jamaica and to describe the syndromic treatment therapies administered. METHODS: Urethral eSwabs (Copan) were collected from 175 men presenting with urethral discharge to the Comprehensive Health Centre STI Clinic, Kingston, Jamaica. Clinical information was collected and MICs of eight antimicrobials were determined for N. gonorrhoeae isolates (n = 96) using Etest and interpreted using CLSI criteria. RESULTS: The median age of the subjects was 28 years (range: 18-73 years) with a median of 2 sexual partners (range: 1-25) per male in the previous 3 months. All examined N. gonorrhoeae isolates were susceptible to ceftriaxone (96/96), azithromycin (91/91), cefixime (91/91) and spectinomycin (91/91). For ciprofloxacin and gentamicin, respectively, 98.9% (91/92) and 91.3% (84/92) of the isolates were susceptible and 1.1% (1/92) and 8.7% (8/92) showed intermediate susceptibility/resistance. For tetracycline and benzylpenicillin, respectively, 38.0% (35/92) and 22.0% (20/91) of the isolates were susceptible, 52.2% (48/92) and 74.7% (68/91) showed intermediate susceptibility/resistance and 9.8% (9/92) and 3.3% (3/91) were resistant. Syndromic treatment was administered as follows: 93.1% received 250 mg of ceftriaxone intramuscularly plus 100 mg of doxycycline orally q12h for 1-2 weeks and 6.9% received 500 mg of ciprofloxacin orally plus 100 mg of doxycycline orally q12h for 1 week. CONCLUSIONS: Ceftriaxone (250 mg) remains appropriate for gonorrhoea treatment in the examined population of men in Kingston, Jamaica. Surveillance of N. gonorrhoeae AMR should be expanded in Jamaica and other Caribbean countries to guide evidence-based treatment guidelines.

Optimizing Interventions Across the HIV Care Continuum: A Case Study Using Process Improvement Analysis.

UNAIDS' 90-90-90 goal for 2020 is for 90% of HIV-infected people to know their status, 90% of infected individuals to receive antiretroviral therapy (ART), and 90% of those on ART to achieve viral suppression. To achieve these ambitious goals, effective care delivery programs are needed. In this paper we present a case study showing how HIV care can be improved by viewing the patient care process as a production process and applying methods of process improvement analysis. We examine the continuum of HIV care at a hospital-based HIV clinic in Kingston, Jamaica. We perform qualitative analysis to identify key programmatic, personnel, and clinical areas for process improvement. We then perform quantitative analysis. We develop a stochastic model of the care process which we use to evaluate the effects of potential process improvements on the number of patients who receive ART and the number who achieve viral suppression. We also develop a model for optimal investment of a fixed budget among interventions aimed at improving the care cascade and we use the model to determine the optimal investment among three interventions that the clinic could invest in. By viewing the patient care process as a production process and applying qualitative and quantitative process improvement analysis, our case study illustrates how clinics can identify the best ways to maximize clinical outcomes. Our methods are generalizable to other HIV care clinics as well as to clinics that provide care for other chronic conditions (e.g., diabetes, hepatitis B, or opioid use disorder).

HIV-1 drug resistance in treatment-naive chronically infected patients in Jamaica.

BACKGROUND: HIV-1 drug resistance in treatment-naive patients has a significant impact on the individual patient as well as implications for the wider population. These effects are amplified in the context of resource-limited settings, which are rapidly expanding access to antiretroviral therapy. METHODS: This cross-sectional survey at a single treatment site in Kingston, Jamaica was designed to identify the prevalence of HIV-1 drug-resistant mutations in chronically infected, treatment-naive patients. Mutations were identified using the Stanford HIV database algorithm and the World Health Organization (WHO) HIV Drug Resistance (HIVDR) surveillance mutations. RESULTS: The inclusion of 103 cases in the study resulted in 79 (76.6%) amplifiable samples. Genotype analysis revealed that 12.6% (95% CI 5.3, 19.9) were identified as having clinically significant mutations, while 10.1% (95% CI 3.5, 16.7) had WHO HIVDR surveillance mutations. CONCLUSIONS: According to the WHO standard, this study population has a moderate level of HIVDR in treatment-naive patients and strongly implies the need to introduce HIVDR surveillance in Jamaica.