BackgroundIntimate partner violence is a global health burden that disproportionately affects women and their health outcomes. Women in Brazil are also affected by interpersonal violence. We aimed to estimate the lifetime prevalence of three forms of interpersonal violence against women (IPVAW) and to identify sociodemographic factors associated with IPVAW in one urban Brazilian city.MethodsUsing a cross-sectional design, we interviewed women aged ≥18 years in the urban Brazilian city, Maringá, who currently have or have had an intimate partner. The 13-item WHO Violence Against Women instrument was used to ask participants about their experiences with intimate partner violence, categorized into psychological, physical and sexual violence. We estimated associations between IPVAW and sociodemographic characteristics using generalized linear models.Results and conclusionsOf the 419 women who were enrolled and met inclusion criteria, lifetime prevalence of IPVAW was 56%. Psychological violence was more prevalent (52%) than physical (21%) or sexual violence (13%). Twenty-eight women (6.4%) experienced all three forms of IPVAW. Women were more likely to experience violence if they were employed, did not live with their partner or had 4 or more children. Educational level, household income, age and race were not significantly associated factors. Our findings highlight a high prevalence of IPVAW in a community in southern Brazil.

Background: Quantity, quality, and impact of scientific publications are used to assess national, institutional, and individual levels of research productivity. While the importance of quality research is stressed among the medical research community, minimal research has been conducted on analyzing which factors affect research productivity. Current literature assesses the quality of research institutions rather than that of individual researchers; there is also no research on the difference between high-impact researchers and other researchers. This study, conducted in 2015, sought to investigate the underlying reason for high-throughput authors' success by understanding their similar habits and motivations leading to high productivity. Methods: The authors conducted a qualitative study via interviews of high-throughput researchers from around the world. Semi-structured interview scripts guided the interviews in accordance to the grounded theory method for qualitative studies. Broad themes from preliminary interviews were identified and explored in subsequent interviews. Results: Qualitative analysis of participant interviews identified eight major themes: “Writing habits,” “Writing strategy,” “Previous training and writing experience,” “Major driver,” “Balancing volume and impact of publications,” “Ideal and non-ideal conditions,” “Timelines,” and “Role of networking on high-throughput productivity.” These themes are not exclusive nor required qualities of high-throughput researchers but highlight similarities and broadly unifying characteristics of these researchers. Conclusion:This study identified the common qualities and attitudes of high-throughput researchers. We found common factors in most individuals that can be considered markers of high productivity.

-Dep ar tm en t o f S u r g er y , D i vi s io n o f Or th op aed i cs. Du ke Un i ver s i ty . Du r h am /NC , U S A 5-As s is tan t Pr o fes so r . D e p ar tm en t o f Su r g er y , D i v is ion o f Ur o lo g y . Du ke Un i ver s it y. Du r h am /N C , US A 6-D iv i s ion o f Em er g en c y M ed ic in e , Dep ar tm en t of Su r g er y . Du k e Un i ver s it y M ed ic al Cen te r ,Du r h a m /NC , U S A. ABSTRACTBackgro und: In cost-effectiveness analyses, Quality -Adjusted Life Years (QALY) remains one of the most widely used health effect measure. Among the various methods of estimating utility values, time trade -off (TTO) has traditionally been one of the dominant methods for eliciting utilities, however it has been presenting several practical impediments to provide a high and fast collecting process. Objective: To test a method of collecting TTO -derived utilities using a plat form called Amazon's Mechanical Turk (MTurk) that provides reliable, fast and inexpensive data. Methods: A pre -programmed interactive questionnaire was design to simulate a live TTO interview using Qualtrics. To validate the results members of the Research on Research (RoR) Group not aware of the research agreed to answer the same questions on a videoco nference live interview. We determined feasibility through assessment quality and cost/benefit relation indicators. In addition, this paper followed the fram ework for reproducible research reports proposed by our group. Results: Results: Our results showed that the MTurk populatio n is representative of the US population (based on 2012 census) and there were no differences on the willingness to live when compar ing the MTurk sample and the live interview sample, and also no differences of the WTL when comparing the different questionnaire designs developed. Preference results showed differences only for race (between others and African -Americans, and other and wh ite), and overall median values of 0.83 (Q1=0.83; Q3=0.90). Conclusions: MTurk is a reliable web place to collect large sample using the TTO method, and should be used to collect utility data for CEA.Keywords: cost -effectivenes s, Quality -Adjusted Life Years , time trade -off. Rev i sta El etr ôn ic a Ge st ão & Soc ied ad ev. 12 , n . 31 , p . 2 17 3 -2 DATA C O L L EC T I O N M E C H A N I S M SMTurk is a web platform that allows PAYMENTIn previo us research using MTurk, the amount of participation is directly related to financial incentives18. The amount paid for each TTO session varied throughout the data collection phase. Initially we paid 20 cents for the Jumping questions; however we noticed a low rate of adherence with this amount. We therefore decided to increase the payment to 40 cents in the Slider questionnaire. TECHNICAL FEATURESWe a priori determined that the jumping questions questionnaire required approximately 7.5 minutes to be answered ELIGIBILIT Y CRITERIAFor the MTurk population the inclusio n criteria were age greater than 18 years old (MTurk workers are r equired to be 18 years of age or old...

BackgroundAlcohol use is associated with 3 million annual deaths globally. Harmful alcohol use, which is particularly prevalent in low- and middle-income countries (LMICs), often increases the probability of traumatic injury. Treatments for harmful alcohol use in LMICs, such as Tanzania, lack trained personnel and adequate infrastructure. The aim of this study was to assess the feasibility of using SMS boosters to augment a hospital based brief intervention (BNI) in this low resourced setting.Methods:We conducted a three stage, four arm feasibility trial of a culturally adapted BNI for injury patients with harmful and hazardous drinking admitted to Kilimanjaro Christian Medical Centre (KCMC) in Moshi, Tanzania. Post hospital discharge, two of the four arms included patients receiving either a standard or personalized short message service (SMS) booster to enhance and or perpetuate the effect of the in-hospital BNI. Text messages were sent weekly throughout a 3-month follow-up period. SMS feasibility was assessed according to the TIDier checklist evaluating what, when, how much, tailoring processes, modifications and how well (intervention fidelity). Data was collected with SMS logs and short answer surveys to participants. Results:While 42 study participants were intended to each receive 12 SMS over a three-month period, 38 received messages correctly, 6 did not receive messages but were supposed to, and 1 received a message who was not supposed to. Of the 258 attempted texts, 73% were successfully sent through the messaging system. Of the messages that failed delivery, the majority were not able to be sent due to participants travelling out of cellular service range or turning off their phones. Participants in both booster arms reported that messages were appropriate, and that they would appreciate the continuation of such reminders. At 6-month follow-up, 100% (n=11) of participants believed that the boosters had a positive impact on their behavior, with 90% reporting a large impact.ConclusionThis study demonstrated feasibility and acceptability of the integration of SMS mobile health technology to supplement this type of nurse-led BNI. SMS booster is a practical tool that can potentially prolong the impact of a brief hospital based intervention to enact behavioral change in injury patients with AUD.

Background: Previous research has corroborated a high burden of alcohol-related injury in Brazil and the presence of socioeconomic disparities among the injured. Yet, individual-level data is scarce. To fill this gap, we examined the association between demographic and socioeconomic characteristics with non-fatal alcohol-related injury in Maringá, Brazil. Methods: We used household survey data collected during a 2015 cross-sectional study. We conducted univariate and multivariate analyses to evaluate associations of demographic (age, gender, race) and socioeconomic characteristics (employment, education, income) with non-fatal alcohol-related injury. Results: Of the 995 participants who reported injuries, 62 (6.26%) were alcohol-related. Fifty-three (85%) alcohol-related injuries were reported by males. Multivariate analysis indicated being male (OR = 5.98 95% CI = 3.02, 13.28), 15-29 years of age (OR = 3.62 95% CI = 1.72, 7.71), and identifying as Black (OR = 2.38 95% CI = 1.09, 4.95) were all significantly associated with increased likelihood of reporting an alcohol-related injury, whereas unemployment was significantly associated with decreased likelihood of reporting an alcohol-related injury (OR = 0.41 95% CI = 0.18, 0.88). Conclusion: Our findings suggest that in Maringá, being male, between the ages of 15 and 29, employed, or identifying as Black were characteristics associated with a higher risk for non-fatal alcohol-related injury. Individual level data, such as ours, should be considered in combination with area-level and country-level data when developing evidence-based public-health policies.

Background: Health decision-makers currently face the challenge of accumulating health data in time to inform evidence-based interventions to improve health outcomes. The Brazilian healthcare system is in need of daily primary care data reported in real-time to support evidence-based policy decisions. This study aims to detail the development of a solution for geospatial monitoring in public health called AUTOMAP. Its main objective is to facilitate epidemiological surveillance and promote that rapidly available data improve the provision of health services. Methods: AUTOMAP is an application that articulates concepts inherent to epidemiological surveillance, geographic information systems, and free access technologies to design a monitoring tool of health conditions. The system architecture consists of three modules: user, application, and database. They work together to collect information regarding health conditions, its processing, and dynamic viewing. AUTOMAP design uses the statistical language R, which employs literate programming through a Shiny application package to transform statistical results of health conditions into interactive maps in real-time. AUTOMAP is a web application that has two interfaces: one for loading data and another for generating dynamic epidemiological maps. Conclusion: AUTOMAP allows a variety of clinical solutions, such as risk calculators, spatial evaluation of events of interest, decision models, simulations, and epidemiological patient monitoring. The software is open-source with easy accessibility, allowing anyone to make adjustments and handle a myriad of health conditions, thus being applicable globally. AUTOMAP is a tool that will facilitate and advance data collection for evidence generation and expedite evidence-based health system improvements.

Objective: The objective of this study was to perform a qualitative study to identify commonalities and differences in reasoning processes between these groups.Methods: A phenomenological qualitative study based on transcriptions of physicians and statisticians conceptualizing clinical cases and clinical research questions. Interviews were carried out with nine statisticians and sixteen physicians contacted virtually. The main outcome measures were emerging themes that were common to both expert groups.Results: Both groups used conceptual models -although different models- during their reasoning processes, but their concepts were not common between the groups complicating the exchange of information. Both groups were unaware that their specialty language was frequently inaccessible to non-specialists or specialists from other fields, which leads to communication difficulties. These difficulties were broadly classified into translational problems of field-specific terms and concepts. Field-specific terms would sometimes lead to misinterpretations while the translation of field-specific concepts often leads to content loss.Conclusions: The use of field-specific terms and concepts can lead to confusion and misinterpretation. Teams would benefit from taxonomies containing terms that can be understood by specialists from both disciplines