A state of emergency has been declared in Fiji amid an ongoing surge in HIV cases, largely fueled by a meth epidemic.

The city has seen a rising number of HIV diagnoses in recent years, particularly among Black and Latino New Yorkers

Fiji health authorities are scrambling to stem an outbreak of HIV, as growing meth use and alarming needle-sharing trends accelerate the spread of the virus.

SUVA, Fiji - Fiji has declared a national emergency over its rapidly growing HIV epidemic after health authorities reported a

Infectious Diseases Society of America; IDSA

Background: Measuring the capacity of HIV medical facilities to deliver quality treatment and prevention care to people with HIV is essential to the over 1 million Americans living with HIV and supports federal efforts to end the HIV epidemic. To fill this gap and complement the ongoing Medical Monitoring Project—which conducts annual surveys of people with HIV and periodic surveys of HIV care providers—the US Centers for Disease Control and Prevention (CDC) and RTI (Research Triangle Institute) International conducted the Medical Monitoring Project Facility Survey (MMPFS). Objective: We aimed to describe the survey methods designed to achieve a high response rate from the 1022 facilities providing care to people with HIV as part of the Medical Monitoring Project—including frame development, survey instrument development, facility recruitment, and postsurvey data processing. Methods: For the MMPFS, the CDC and RTI developed a sequential multimode data collection approach (paper, web, and phone), including an abbreviated nonresponse follow-up (NRFU) instrument and the collection of administrative data for all facilities. Data were then processed to produce raw, imputed, and weighted datasets. Analyses included comparisons of responses to the full survey and NRFU survey. Results: The full MMPFS survey yielded 455 complete survey respondents and the NRFU survey yielded 59 complete survey responses, a combined response rate of 50.3% (514/1022). A nonresponse bias analysis comparing the 2 surveys found a significant difference in the raw datasets for 4 (12%) of the 34 categorical variables that were identical between the 2 surveys (all P>.0014). Weighted and imputed datasets were then generated and compared. There was no significant difference between the 2 datasets for any variable (all P>.05). Conclusions: The CDC and RTI’s MMPFS methodology proved to be a valuable means of collecting data from HIV care providers and providing estimates for facility characteristics related to the provision of health care for people with HIV. The combined response rate allowed the CDC and RTI to generate facility-level estimates and an imputed dataset that can be linked to MMPFS patient data. The methods may be applied to other facility survey studies.

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