Brief Report: Understanding Preferences for HIV Care Among Patients Experiencing Homelessness or Unstable Housing: A Discrete Choice Experiment
JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES
Authors: Conte, Madellena; Eshun-Wilson, Ingrid; Geng, Elvin; Imbert, Elizabeth; Hickey, Matthew D.; Havlir, Diane; Gandhi, Monica; Clemenzi-Allen, Angelo
Abstract
Background: Homelessness and unstable housing (HUH) negatively impact care outcomes for people living with HIV (PLWH). To inform the design of a clinic program for PLWH experiencing HUH, we quantified patient preferences and trade-offs across multiple HIV-service domains using a discrete choice experiment (DCE). Methods: We sequentially sampled PLWH experiencing HUH presenting at an urban HIV clinic with >= 1 missed primary care visit and viremia in the last year to conduct a DCE. Participants chose between 2 hypothetical clinics varying across 5 service attributes: care team "get to know me as a person" versus not; receiving $10, $15, or $20 gift cards for clinic visits; drop-in versus scheduled visits; direct phone communication to care team versus front-desk staff; and staying 2 versus 20 blocks from the clinic. We estimated attribute relative utility (ie, preference) using mixed-effects logistic regression and calculated the monetary trade-off of preferred options. Results: Among 65 individuals interviewed, 61% were >40 years old, 45% White, 77% men, 25% heterosexual, 56% lived outdoors/emergency housing, and 44% in temporary housing. Strongest preferences were for patient-centered care team [beta = 3.80; 95% confidence interval (CI): 2.57 to 5.02] and drop-in clinic appointments (beta = 1.33; 95% CI: 0.85 to 1.80), with a willingness to trade $32.79 (95% CI: 14.75 to 50.81) and $11.45 (95% CI: 2.95 to 19.95) in gift cards/visit, respectively. Conclusions: In this DCE, PLWH experiencing HUH were willing to trade significant financial gain to have a personal relationship with and drop-in access to their care team rather than more resource-intensive services. These findings informed Ward 86's "POP-UP" program for PLWH-HUH and can inform "ending the HIV epidemic" efforts.
Pooling RT-qPCR testing for SARS-CoV-2 in 1000 individuals of healthy and infection-suspected patients
SCIENTIFIC REPORTS
Authors: Hirotsu, Yosuke; Maejima, Makoto; Shibusawa, Masahiro; Nagakubo, Yuki; Hosaka, Kazuhiro; Amemiya, Kenji; Sueki, Hitomi; Hayakawa, Miyoko; Mochizuki, Hitoshi; Tsutsui, Toshiharu; Kakizaki, Yumiko; Miyashita, Yoshihiro; Omata, Masao
Abstract
Severe acute respiratory coronavirus 2 (SARS-CoV-2) testing reagents are expected to become scarce worldwide. However, little is known regarding whether pooling of samples accurately detects SARSCoV-2. To validate the feasibility of pooling samples, serial dilution analysis and spike-in experiments were conducted using synthetic DNA and nucleic acids extracted from SARS-CoV-2-positive and-negative patients. Furthermore, we studied 1000 individuals, 667 of whom were "healthy" individuals (195 healthcare workers and 472 hospitalized patients with disorders other than COVID19 infection), and 333 infection-suspected patients with cough and fever. Serial dilution analysis showed a limit of detection of around 10-100 viral genome copies according to the protocol of the National Institute of Infectious Diseases, Japan. Spike-in experiments demonstrated that RT-qPCR detected positive signals in pooled samples with SARS-CoV-2-negative and-positive patients at 5-, 10-, 20-fold dilutions. By screening with this pooling strategy, by the end of April 2020 there were 12 SARS-CoV-2-positive patients in 333 infection-suspected patients (3.6%) and zero in 667 "healthy" controls. We obtained these results with a total of 538 runs using the pooling strategy, compared with 1000 standard runs. In a prospective study, we successfully detected SARS-CoV-2 using 10- to 20-fold diluted samples of nasopharyngeal swabs from eighteen COVID-19 patients with wide ranges of viral load. Pooling sample is feasible for conserving test reagents and detecting SARS-CoV-2 in clinical settings. This strategy will help us to research the prevalence infected individuals and provide infected-status information to prevent the spread of the virus and nosocomial transmission.