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Profile, Entscheidungsvorgänge und „Psychologie”: Intensivierungsprozesse beim Online-Dating.
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New approaches are needed to provide care to persons with HIV who do not engage in conventionally organized HIV clinics. We compared outcomes in the 12 months pre- and postbaseline and used generalized estimating equations to compare changes in Max vs control patients, adjusting for unstable housing, substance use, and psychiatric disorders. Continuous viral suppression and engagement in care increased in both groups but did not differ significantly continuous viral suppression: aRRR, 1.
The Max Clinic improved viral suppression among patients with complex medical and social needs. Several strategies to re-engage out-of-care PWH have been studied, including Data to Care [ 1 ], which uses public health surveillance data to guide health department efforts to return patients to care, and a clinic-based patient retracing strategy, which uses clinic data to identify and re-engage patients [ 2—4 ].
Although some evaluations have suggested that these strategies are effective in relinking patients to at least 1 medical visit [ 1 , 5—7 ], controlled studies have shown minimal or no effect on viral suppression [ 3 , 4 , 8 ]. Most re-engagement efforts to date have focused on reconnecting patients to the system of care from which they disengaged, but new approaches are needed to engage the highest-need patients, such as those with co-occurring unstable housing, substance use disorders, and psychiatric disorders [ 9 ].
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Many public health departments use record linkage between surveillance data and external data sources to inform public health interventions. However, little guidance is available to inform these activities, and many health departments rely on deterministic algorithms that may miss many true matches. In the context of public health action, these missed matches lead to missed opportunities to deliver interventions and may exacerbate existing health inequities.
This study aimed to compare the performance of record linkage algorithms commonly used in public health practice. We compared five deterministic exact, Stenger, Ocampo 1, Ocampo 2, and Bosh and two probabilistic record linkage algorithms fastLink and beta record linkage [BRL] using simulations and a real-world scenario.
We simulated pairs of datasets with varying numbers of errors per record and the number of matching records between the two datasets ie, overlap. We matched the datasets using each algorithm and calculated their recall ie, sensitivity, the proportion of true matches identified by the algorithm and precision ie, positive predictive value, the proportion of matches identified by the algorithm that were true matches.
We estimated the average computation time by performing a match with each algorithm 20 times while varying the size of the datasets being matched. In a real-world scenario, HIV and sexually transmitted disease surveillance data from King County, Washington, were matched to identify people living with HIV who had a syphilis diagnosis in We calculated the recall and precision of each algorithm compared with a composite standard based on the agreement in matching decisions across all the algorithms and manual review.
In simulations, BRL and fastLink maintained a high recall at nearly all data quality levels, while being comparable with deterministic algorithms in terms of precision. Deterministic algorithms typically failed to identify matches in scenarios with low data quality. All the deterministic algorithms had a shorter average computation time than the probabilistic algorithms. BRL had the slowest overall computation time 14 min when both datasets contained records.
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Author s : Dombrowski, Julia. Abstract: This article proposes an interpretation of online-dating on German dating sites. While online-dating becomes more and more popular, it is still considered as “special” and “different”.
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