https://data.jmir.org/issue/feedJMIR Data2021-09-14T10:30:15-04:00Gunther Eysenbach MD MPH FACMIeditor@jmir.orgOpen Journal Systems Unless stated otherwise, all articles are open-access distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work ("first published in the Journal of Medical Internet Research...") is properly cited with original URL and bibliographic citation information. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. A multidisciplinary journal to publish open datasets for analysis and re-analysis. https://data.jmir.org/2022/1/e36874/ A Database of Randomized Trials on the HIV Care Cascade (CASCADE Database): Descriptive Study2022-08-11T09:15:28-04:00Lawrence MbuagbawDiya JhutiGohar ZakaryanHussein El-KechenNadia RehmanMark YoussefMichael Cristian GarciaVaibhav AroraBabalwa ZaniAlvin LeenusMichael WuOluwatoni Makanjuola<strong>Background:</strong> The Joint United Nations Programme on HIV/AIDS has set targets for 2025 regarding people living with HIV. For these targets to be met, 95% of people with HIV would need to know their HIV status, 95% of people with HIV would need to be receiving antiretroviral therapy, and 95% of people on antiretroviral therapy would need to be virally suppressed. Some countries are on track to meet these targets. However, within and across countries, several vulnerable populations may not meet these targets. This is in part because several approaches to improving the cascade of care after an HIV diagnosis are not tailored to and are not appropriate for vulnerable populations, such as men who have sex with men, sex workers, people who inject drugs, Black people, people in prisons, women, and youth. To inform research, policy, and practice, there is a need for curated data on HIV care cascade research. <strong>Objective:</strong> The CASCADE database is a repository of randomized clinical HIV trials. It was designed to inform, support, and improve HIV care cascade research, systematic reviews, and evidence maps. <strong>Methods:</strong> PubMed, Embase, CINAHL, PsycINFO, Web of Science, and the Cochrane Library were searched to obtain randomized trials that were designed to address at least one of the following care cascade outcomes: the initiation of therapy, adherence to medication, retention in care, and engagement in care. Data were screened and extracted in duplicate using DistillerSR software (Evidence Partners Incorporated) and were cataloged based on the following features: year, income level, setting, the delivery of the intervention, the population receiving the intervention, intervention type, and the level of pragmatism of the intervention. <strong>Results:</strong> A total of 298 HIV clinical trials are included in the CASCADE database, of which 162 (54.4%) were conducted in high-income countries, and 116 (38.9%) targeted vulnerable populations. Adherence to antiretroviral therapy was the most investigated HIV care cascade outcome (216/298, 72.5%), followed by retention in care (34/298, 11.4%). CASCADE has a user-friendly interface with simple and advanced search features. The CASCADE database has inspired 2 methodological papers and 13,567 website visits from over 10 countries. <strong>Conclusions:</strong> CASCADE is the first database dedicated to trials that focus on the HIV care cascade, and it can be used for systematic reviews, evidence maps, and methodological research. It is freely accessible, and the data can be downloaded in CSV format. 2022-08-11T09:15:28-04:00 https://data.jmir.org/2021/1/e22446/ Tracking Exposure to Ads Amid the COVID-19 Pandemic: Development of a Public Google Ads Data Set2021-09-14T10:30:15-04:00Reham Al TamimeIngmar Weber<strong>Background:</strong> The COVID-19 pandemic has had a substantial impact on economies, governments, businesses, and most importantly, people’s health. To bring the spread of COVID-19 under control, strict lockdown measures have been implemented across the globe. These lockdown measures resulted in a spate of panic buying and increase in demand for hygiene products and other grocery items. <strong>Objective:</strong> In this paper, we describe a data set from Google Ads that looks at the presentation of ads to people while they browse the web during the COVID-19 pandemic. We are making the data set available to the research community. <strong>Methods:</strong> We started this ongoing data collection on March 28, 2020, leveraging Developer Tools’ network requests to retrieve Google Ads data. We identified a list of items related and unrelated to panic buying. We then captured these items as targeting criteria under what people are actively researching or planning on Google Ads. Google Ads data has been filtered using additional targeting criteria such as country, gender, and parental status. <strong>Results:</strong> Since the inception of our collection, we have actively maintained and updated our repository on a monthly basis. In total, we have published over 4116 data points. This paper also presents basic statistics that reveal variations in Google Ads data across countries, gender, and parental status. <strong>Conclusions:</strong> We hope that this Google Ads data set can increase our understanding of ad exposure during the COVID-19 outbreak. In particular, this data set can lead to further studies that look at the relationship between exposure to ads, time spent web browsing, and health outcomes. 2021-09-14T10:30:15-04:00 https://data.jmir.org/2020/1/e22436/ A Comparison of Blood Pressure Data Obtained From Wearable, Ambulatory, and Home Blood Pressure Monitoring Devices: Prospective Validation Study2020-11-04T10:45:41-05:00Sheikh Mohammed Shariful IslamRalph Maddison<strong>Background:</strong> Blood pressure (BP) is an important marker for cardiovascular health. However, a person’s BP data cannot usually be obtained simultaneously from different sources. <strong>Objective:</strong> This study aimed to analyze and compare BP data obtained from 3 different sources, namely, wearable, ambulatory, and home BP monitoring devices. <strong>Methods:</strong> During recruitment, we recorded participants’ BP using a standardized digital BP monitoring device and simultaneously over 24 hours using wearable and ambulatory devices. In addition, participants’ BP was measured over 7 days using wearable and home BP monitoring devices. Data from the wearable BP monitoring devices were extracted. The 24-hour ambulatory BP data were downloaded from the device to a computer. Home BPs were recorded 3 times per day (in the morning, afternoon, and evening, at regular times convenient to the participants) for 7 days and on a BP sheet. <strong>Results:</strong> A total of 9090 BP measurements were collected from 20 healthy volunteer participants (females: n=10; males: n=10, mean age 20.3 years, SD 5.4 years). The mean (SD) systolic BP and diastolic BP values measured at enrollment were 112.35 (9.79) mm Hg and 73.75 (9.14) mm Hg, respectively. The 24-hour mean (SD) systolic BP and diastolic BP values measured using the wearable device were 125 (5) mm Hg and 77 (9) mm Hg, respectively. The 24-hour mean (SD) systolic BP and diastolic BP values recorded using the ambulatory device were 126 (10) mm Hg and 75 (6) mm Hg, respectively. The 7-day mean (SD) systolic BP and diastolic BP values measured using the wearable device were 125 (4) mm Hg and 77 (3) mm Hg, respectively. The 7-day mean (SD) systolic BP and diastolic BP values measured using the home device were 112 (10) mm Hg and 71 (8) mm Hg, respectively. <strong>Conclusions:</strong> Our datasets serve as the basis for further studies where these data can be combined reasonably with data from similar studies to understand the impact of different devices on BP measurement. Moreover, the BP data acquired noninvasively from wearable, ambulatory, and home devices can be integrated with similar data from other studies to determine the utility of wearable BP monitoring devices in different groups of people. 2020-11-04T10:45:41-05:00