OBJECTIVES: The purpose of this study was to develop a method to identify persons at high risk for acquiring new sexually transmitted infections. METHODS: Computerized medical records from sexually transmitted disease clinics in Dade County, Florida, were used to conduct a retrospective cohort study. For all patients who visited in 1987, risk factors were identified for returning to the clinics within a year with a new sexually transmitted infection. Predictor variables were derived from the index visit and any visits in the year prior to the index visit. Logistic regression was used to develop a model that was applied to all patients who attended in 1989. RESULTS: Of 24,439 patients attending in 1987, 18.5% returned within a year with a new infection. Return rates were highest for 15- to 19-year-old Black males (31.8%). The highest odds ratios for returning were a diagnosis or treatment for an infection in the previous year and a diagnosis or treatment for infection at the index visit. The patients predicted to be at highest risk had a 39% return rate. There were as many new infections among the 2893 patients at highest risk as there were among the 13,326 patients at lowest risk. CONCLUSIONS: We developed a model that identifies persons at very high risk for sexually transmitted infection. These persons should be targeted for intensive intervention to reduce their risk.
OBJECTIVES: The purpose of this study was to develop a method to identify persons at high risk for acquiring new sexually transmitted infections. METHODS: Computerized medical records from sexually transmitted disease clinics in Dade County, Florida, were used to conduct a retrospective cohort study. For all patients who visited in 1987, risk factors were identified for returning to the clinics within a year with a new sexually transmitted infection. Predictor variables were derived from the index visit and any visits in the year prior to the index visit. Logistic regression was used to develop a model that was applied to all patients who attended in 1989. RESULTS: Of 24,439 patients attending in 1987, 18.5% returned within a year with a new infection. Return rates were highest for 15- to 19-year-old Black males (31.8%). The highest odds ratios for returning were a diagnosis or treatment for an infection in the previous year and a diagnosis or treatment for infection at the index visit. The patients predicted to be at highest risk had a 39% return rate. There were as many new infections among the 2893 patients at highest risk as there were among the 13,326 patients at lowest risk. CONCLUSIONS: We developed a model that identifies persons at very high risk for sexually transmitted infection. These persons should be targeted for intensive intervention to reduce their risk.
Authors: G F Lemp; S F Payne; G W Rutherford; N A Hessol; W Winkelstein; J A Wiley; A R Moss; R E Chaisson; R T Chen; D W Feigal Journal: JAMA Date: 1990-03-16 Impact factor: 56.272
Authors: Daniel J Feaster; Carrigan L Parish; Lauren Gooden; Tim Matheson; Pedro C Castellon; Rui Duan; Yue Pan; Louise F Haynes; Bruce R Schackman; C Kevin Malotte; Raul N Mandler; Grant N Colfax; Lisa R Metsch Journal: Drug Alcohol Depend Date: 2016-10-27 Impact factor: 4.492
Authors: Ghenet T Besera; Shanna Cox; C Kevin Malotte; Cornelis A Rietmeijer; Jeffrey D Klausner; Lydia O'Donnell; Andrew D Margolis; Lee Warner Journal: Health Promot Pract Date: 2016-04-18