1,720,992 research outputs found
Replication Data for: Stopping and re-starting PrEP and loss to follow-up among PrEP-taking MSM at risk of HIV-1 participating in a prospective cohort study in Kenya
Understanding predictors of stopping and re-starting pre-exposure prophylaxis (PrEP) is important to improve PrEP programming. We assessed frequency and predictors of stopping/re-starting PrEP and loss to follow-up (LTFU), and assessed whether risk behaviour was different while having stopped and restarted PrEP among men who have sex with men (MSM) with access to PrEP services in coastal Kenya.
From June 2017 to June 2019, we included MSM who had initiated daily oral PrEP and were followed monthly for HIV-1 testing, PrEP refill, risk assessment, and risk reduction counselling. We estimated transition intensities (TI) and predictors of switching (i) between having stopped and having (re-)started PrEP and (ii) from either PrEP state and LTFU (i.e. not returning to the clinic for >90 days) using a multi-state Markov model. We compared the proportion with any receptive anal intercourse (RAI), any insertive anal intercourse (IAI) and
134 MSM ever starting PrEP were followed for a median 20.3 months [interquartile range (IQR) 7.7-22.1]. Of them, 49 (36.6%) stopped PrEP a total 73 times [TI=0.6/PY, 95% confidence interval (CI)=0.5-0.7] and re-started PrEP 38 times (TI=1.2/PY, 95%CI=0.9-1.7). In multivariable analysis, stopping PrEP was related to anal sex in the past 3 months, substance use disorder and travelling. Re-starting PrEP was related to non-Christian or non-Muslim religion and travelling. 54 participants were LTFU: having (re-)started-PrEP (n=47, TI=0.3/PY, 95%CI=0.3-0.5) and having stopped-PrEP (n=7, TI=0.2/PY, 95%CI=0.1-0.4). In multivariable analysis, becoming LTFU while having (re-)started-PrEP was associated with secondary education or higher, years lived in the area (≤1 years), residence outside the immediate clinic catchment area and alcohol use disorder. No factors were associated with becoming LTFU while having stopped-PrEP. Participants reported higher proportions of IAI and lower proportions <100% CAS during visits while having stopped-PrEP. </p
Replication Data for: An Empiric Risk Score to Guide PrEP Targeting Among MSM in Coastal Kenya
This dataset consists of a spreadsheet containing questionnaire data, and data dictionary, and a data readme file.
Men who have sex with men (MSM), who have heterogeneous HIV-acquisition risks are not specifically targeted in Kenyan pre-exposure prophylaxis (PrEP) guidelines. We used data from an open cohort, which followed 753 initially HIV-negative MSM participants for more than 1378.5 person-years, to develop an empiric risk score for targeting PrEP delivery. Independent predictors of incident HIV-1 infection in this cohort were an age of 18-24 years, having only male sex partners, having receptive anal intercourse, having any unprotected sex,and having group sex. Poisson model coefficients were used to assign a numeric score to each statistically significant predictor. A risk score of ≥1 corresponded to an HIV-1 incidence of ≥2.2 (95% confidence interval [CI], 1.2-4.1) and identified 81.3% of the cohort participants as being at high risk for HIV-1 acquisition. The area under the receiver operating characteristic curve was 0.76 (95% CI, 0.71-0.80). This empiric risk score may help Kenyan health care providers to assess HIV-1 acquisition risk and encourage PrEP uptake by high-risk MSM.
The data package presented includes:
PrEP_Risk_Score_Data.csv: A spreadsheet consisting of data relating to 9143 individuals including demographic information, behaviours, risk factors and HIV results. Variables include age ranges, sexual activity, drug use, marital status, employment and marital status.
PrEP_Risk_Score_Codebook.pdf: Data descriptor containing colum header/variables descriptions and value label information.
EWahome_Readme_PrEP_Risk_Score.txt: Data file readme
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Replication Data for: Risk factors for loss to follow-up among at-risk HIV negative men who have sex with men participating in a research cohort with access to pre-exposure prophylaxis in coastal Kenya
This is a replication dataset for the submitted manuscript titled "Risk factors for loss to follow-up among at-risk HIV negative men who have sex with men participating in a research cohort with access to pre-exposure prophylaxis in coastal Kenya"
This dataset contains information on demographic, behavioural and mental health characteristics of MSM cohort participants attending a research clinic 20 km north of Mombasa were offered daily PrEP and followed monthly for risk assessment, risk reduction counselling, and HIV testing. Participants were defined as LTFU if they were late by >90 days for their scheduled appointment. Participants who acquired HIV were censored at diagnosis. The data was collected between Between June 2017 and June 2019.
Files included in data package:
EWahome_LTFU_Data - consist of the study dataset in excel and CSV formats
EWahome_LTFU_Codebook - consist of description of variables included in the study dataset
EWahome_LTFU_Readme
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Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Replication Data for: Assessment of PrEP eligibility and uptake among at-risk MSM participating in a HIV-1 vaccine feasibility cohort in coastal Kenya
This dataset consists of a spreadsheet containing questionnaire data, and supplementary material including a blank questionnaire form, a self-assessment risk checking form and a score sheet for PrEP eligibility.
The study which generated this dataset analysed a cohort of men who have sex with men (MSM) in Mtwapa town, Kenya in order to assess the performance of Kenyan Ministry of Health criteria used to predict HIV-1 acquisition; to assess the cohorts’ eligibility to receive Pre-exposure prophylaxis (PrEP) for the prevention of HIV using either Ministry of Health Criteria or the authors’ Cohort-Derived HIV-1 Risk Score (CDHRS); and to identify factors associated with the uptake of PrEP for eligible MSM.
Study participants were recruited by 10-15 trained peer mobilizers who approached individuals, and eligibility was based on age (18–49 years) as well as any of the following: HIV-1-negative status; involvement with transactional sex work; having a recent sexually transmitted infection (STI); having multiple sexual partners; having sex with an HIV-1-infected partner; or anal sex during the 3 months before enrolment. The study took place at the Kenya Medical Research Institute (KEMRI) clinic, Mtwapa town.
During enrolment and monthly follow-up visits the researchers conducted face-to-face interviews with participants using a standardized behaviour questionnaire, provided HIV-1 testing and counselling using rapid point of care antibody tests, provided risk reduction counselling, assessed medical histories and performed physical examinations of the participants.</p
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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