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60661“…We purposively sampled organizations for maximum variation in organization and provider type, geographic location, and reach of underserved older populations (Black, Indigenous, or other People of Color (BIPOC), rural, disabilities). …”
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60662por Tuyishime, Elysee, Kayitesi, Catherine, Musengimana, Gentille, Malamba, Samuel, Moges, Hailegiorgis, Kankindi, Ida, Escudero, Horacio Ruisenor, Habimana Kabano, Ignace, Oluoch, Tom, Remera, Eric, Chukwu, Angela“…OBJECTIVE: The aims of this study were to provide the first national population size estimate (PSE) and geographic distribution of MSM in Rwanda. METHODS: Between October and December 2021, a three-source capture-recapture method was used to estimate the MSM population size in Rwanda. …”
Publicado 2023
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60663“…Multivariable logistic regression analyses using generalized estimating equation models were conducted adjusting for geographic region and clustering by country. In multivariable analyses, we determined the association between utilization outcomes, and ecologic, structural, community and individual correlates by fitting separate generalized estimating equation (GEE) logistic regression models for each of the outcomes, fitted with robust SEs, and accounting for clustering by country. …”
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60664por Lin, Yannan, Liang, Li-Jung, Ding, Ruiwen, Prosper, Ashley Elizabeth, Aberle, Denise R., Hsu, William“…DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at a single US academic medical center across 10 geographically distributed sites where lung cancer screening is offered. …”
Publicado 2023
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60665por Nelson, Karin M., Taylor, Leslie, Williams, Jennifer L., Rao, Mayuree, Gray, Kristen E., Kramer, Charles Bradley, Epler, Eric, Fennell, Tiffanie“…DESIGN, SETTING, AND PARTICIPANTS: This 2-group, unblinded randomized clinical trial, called Vet-COACH (Veteran Peer Coaches Optimizing and Advancing Cardiac Health), used a novel geographic-based method to recruit a racially diverse population of veterans with low income. …”
Publicado 2023
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60666por Dingwall, Kylie M, Povey, Josie, Sweet, Michelle, Friel, Jaylene, Shand, Fiona, Titov, Nickolai, Wormer, Julia, Mirza, Tamoor, Nagel, Tricia“…Differing worldviews of service providers and First Nations young people regarding illness and treatment practices, language differences, culturally inappropriate service models, geographical remoteness, and stigma can all inhibit access to appropriate mental health support. …”
Publicado 2023
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60667por Xiao, Ting, Wang, Chunhua, Yang, Mei, Yang, Jun, Xu, Xiaohan, Shen, Liang, Yang, Zhou, Xing, Hui, Ou, Chun-Quan“…The data set was separated geographically into data from 100 primary care centers in 6 districts for model development (training data set) and 36 centers in 3 districts for model validation. …”
Publicado 2023
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60668por Soofi, Sajid Bashir, Khan, Ahmad, Kureishy, Sumra, Hussain, Imtiaz, Habib, Muhammad Atif, Umer, Muhammad, Ariff, Shabina, Sajid, Muhammad, Rizvi, Arjumand, Ahmed, Imran, Iqbal, Junaid, Ahmed, Khawaja Masuood, Achakzai, Abdul Baseer Khan, Bhutta, Zulfiqar A.“…Data on malnutrition, dietary practices, and food insecurity were used to identify the prevalence of stunting among children under five years in terms of demographic, socioeconomic, and geographic characteristics. The prevalence of stunting was calculated using the World Health Organization (WHO) height for age z-score references. …”
Publicado 2023
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60669por Halpern, Rachel, Iqbal, Sheikh Usman, Kazis, Lewis E., Macarios, David, Badamgarav, Enkhjargal“…Data were from a large, geographically diverse U.S. health plan that covered about 12.6 million females during the identification period. …”
Publicado 2011
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60670por Singh, Urisha, Olivier, Stephen, Cuadros, Diego, Castle, Alison, Moosa, Yumna, Zulu, Thando, Edwards, Jonathan Alex, Kim, Hae-Young, Gunda, Resign, Koole, Olivier, Surujdeen, Ashmika, Gareta, Dickman, Munatsi, Day, Modise, Tshwaraganang H, Dreyer, Jaco, Nxumalo, Siyabonga, Smit, Theresa K, Ordering-Jespersen, Greg, Mpofana, Innocentia B, Khan, Khadija, Sikhosana, Zinzile E L, Moodley, Sashen, Shen, Yen-Ju, Khoza, Thandeka, Mhlongo, Ngcebo, Bucibo, Sanah, Nyamande, Kennedy, Baisley, Kathy J, Grant, Alison D, Herbst, Kobus, Seeley, Janet, Pillay, Deenan, Hanekom, Willem, Ndung’u, Thumbi, Siedner, Mark J, Tanser, Frank, Wong, Emily B“…Geospatially, met health needs for HIV were widely distributed and unmet health needs for all three conditions had specific sites of concentration; all three conditions had an overlapping geographical pattern for the need for diagnosis. INTERPRETATION: Although people living with HIV predominantly have a well controlled condition, there is a high burden of unmet health needs for people living with hypertension and diabetes. …”
Publicado 2023
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60671“…Compared with nonteaching, government-owned, and for-profit hospitals, teaching and nonprofit hospitals were also more likely to report more HRSN-directed activities. Patterns based on geographic and area-level socioeconomic indicators did not emerge. …”
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60672por Hover, Whitaker J, Lowe, Katherine E, Lowe, Melissa E, Kallet, Julia G, Slovick, Michal F, Majka, Susan L, McDermott, Michael T, Regan, Elizabeth A“…Conclusions: In a geographically broad cohort of US AI patients, we confirm significant reductions in QoL in spite of treatment. …”
Publicado 2023
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60673por Angelopoulos, Nikolaos, Askitis, Dimitrios P, Androulakis, Ioannis, Valvis, Nicolas, Paparodis, Rodis, Petkova, Valentina, Boniakos, Anastasios, Zianni, Dimitra, Perogamvros, Ilias, Toulis, Konstantinos A, Livadas, Sarantis“…Methods: We retrospectively reviewed the records of 226 patients with confirmed subacute thyroiditis between January 2020 and November 2022 in eleven outpatient endocrine clinics with geographical representativeness of Greek territory. Results: Mean age was 48.01 years and F/M 158/68. …”
Publicado 2023
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60674“…METHODS: We extracted EC risk–attributable deaths, disability-adjusted life years (DALYs), age-standardized mortality rates (ASMRs), and age-standardized DALY rates (ASDRs) from the global burden of disease (GBD) study from 1990 to 2019, in terms of behavioral, metabolic, and dietary factors by age, sex, and geographical location. Average annual percentage change (AAPC) was used to assess the long-term trends in the ASMRs and ASDRs of EC due to specific risk factors. …”
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60675por Wong, Kirstie H T W, Lau, Wallis C Y, Man, Kenneth K C, Bilbow, Andrea, Ip, Patrick, Wei, Li“…The approach yielded favorable outcomes by efficiently attracting eligible participants in a condensed time frame, transcending geographical barriers throughout the United Kingdom, which would have been tedious to achieve through traditional recruitment methods. …”
Publicado 2023
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60676por Sydes, Michelle, Hine, Lorelei, Higginson, Angela, McEwan, James, Dugan, Laura, Mazerolle, Lorraine“…We placed no limits on study outcomes, language, or geographic location. DATA COLLECTION AND ANALYSIS: Our screening approach differed slightly for the different sources, but all documents were assessed in the systematic review software program DistillerSR on the same final eligibility criteria. …”
Publicado 2023
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60677por Luo, Zilin, Dong, Xuesi, Wang, Chenran, Cao, Wei, Zheng, Yadi, Wu, Zheng, Xu, Yongjie, Zhao, Liang, Wang, Fei, Li, Jibin, Ren, Jiansong, Shi, Jufang, Chen, Wanqing, Li, Ni“…Individual SES, neighborhood SES, and small-area SES were included, while any SES aggregated by geographic areas larger than neighbors were excluded. …”
Publicado 2023
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60678The Role of Telehealth in Promoting Equitable Abortion Access in the United States: Spatial Analysis“…However, the role of this telehealth model in addressing geographic barriers to and inequities in abortion access remains unclear. …”
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60679por Cantos, Valeria D, Neradilek, Moni, Gillespie, Kevin, Huang, Yunda, deCamp, Allan C, Karuna, Shelly T, Edupuganti, Srilatha, del Rio, Carlos, Veloso, Valdilea, Cohen, Myron S, Donnell, Deborah J, Corey, Lawrence, Roxby, Alison C, Kelley, Colleen F“…METHODS: We characterized sociodemographic and geographic features of PrEP initiation (by self-report) using descriptive statistics. …”
Publicado 2023
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60680por Yuengling, Katharine, Surie, Diya, DeCuir, Jennifer, Zhu, Yuwei, Gaglani, Manjusha, Ginde, Adit A, Gibbs, Kevin, Prekker, Matthew, Mohamed, Amira, Johnson, Nicholas, Peltan, Ithan, Bender, William, Mallow, Christopher, Kwon, Jennie H, Lauring, Adam S, Columbus, Cristie, Vaughn, Ivana, Safdar, Basmah, Chappell, James, Baughman, Adrienne, Swan, Sydney A, Johnson, Cassandra, McMorrow, Meredith L, Self, Wesley, Martin, Emily T“…COVID-19 and RSV vs. influenza using multivariable logistic regression models adjusted for age, sex, race and ethnicity, number of chronic medical condition categories, admission date, and geographic region. RESULTS: Of 8,334 hospitalized adults included, 6% tested positive for RSV (n=478), 80% for SARS-CoV-2 (n=6,664), and 14% for influenza (n=1,192). …”
Publicado 2023
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