Assessing Gaps in Integrated HIV and STI Testing Among New York State-Funded Providers by Pre-Exposure Prophylaxis Status: Implications for Status-Neutral Programming.

Background: In the United States, up to 75% of primary care patients go untested for HIV each year, and nearly two-thirds of adults report never having been tested for HIV. Integrated HIV and STI testing, combining these tests into a single visit, is recommended as a status neutral approach to prevention.

Setting: Over 200 New York State Department of Health-funded primary care clinics, hospitals, health centers and community-based organizations funded to conduct integrated screening.

Doxycycline post-exposure prophylaxis for preventing bacterial sexually transmitted infections (STIs): Are clinical providers supportive?

Background: Bacterial sexually transmitted infections (STIs) continue to increase in the United States. Despite evidence of the effectiveness of doxycycline post-exposure prophylaxis (Doxy-PEP) to prevent STIs, little is known about providers' attitudes and willingness to implement Doxy-PEP.

Methods: An online questionnaire was sent to 575 clinical providers in New York State in September 2022.

The Value of Medical Chart Reviews: A Methodological Approach to Supplement Mortality Data During Pandemic Outbreaks.

Administrative data may provide incomplete understanding of pandemic disease impact. Medical record review-based assessments of COVID-19-related causes of death were conducted among people with diagnosed HIV in New York State, which identified more COVID-19-related causes of death than Vital Statistics, thereby offering a deeper understanding of the pandemic's impact on this population.

A Profile of Patients Who Fail to Keep Appointments in a Veterans Affairs Primary Care Clinic.

Background: Missed medical appointments (“no-shows”) affect both staff and other patients who are unable to make timely appointments. No-shows can be prevented through interventions that target those most at risk to miss appointments. Young age, low socioeconomic status, a history of missed appointments, psychosocial problems, and longer wait times are some predictors that previously have been associated with higher no-show rates.