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61por Tamura, Kosuke, Puett, Robin C, Hart, Jaime E, Starnes, Heather A, Laden, Francine, Troped, Philip JEnlace del recurso
Publicado 2014
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62“…Introduction: Recent changes in unspecified unintentional injury mortality for the elderly by U.S. state remain unreported. This study aims to examine U.S. state variations in mortality from unspecified unintentional injury among Americans aged 65+, 1999–2013; Methods: Using mortality rates from the U.S. …”
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63por Liu, Eugene W., Schwartz, Brian S., Hysmith, Nicholas D., DeVincenzo, John P., Larson, Derek T., Maves, Ryan C., Palazzi, Debra L., Meyer, Chelsea, Custodio, Haidee T., Braza, Mariejane M., Al Hammoud, Roukaya, Rao, Suchitra, Qvarnstrom, Yvonne, Yabsley, Michael J., Bradbury, Richard S., Montgomery, Susan P.Enlace del recurso
Publicado 2018
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64por Bradley, Heather, Hall, Eric W., Rosenthal, Elizabeth M., Sullivan, Patrick S., Ryerson, A. Blythe, Rosenberg, Eli S.Enlace del recurso
Publicado 2020
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66“…First, DEA is applied to measure the efficiency of fifty U.S. states considering four inputs: number of tested, public funding, number of health care employees, number of hospital beds. …”
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67por Baidwan, Navneet Kaur, Ramirez, Marizen R., Gerr, Fred, Boonstra, Daniel, Cavanaugh, Joseph E., Casteel, Carri“…This effort uses workers’ compensation (WC) data to estimate the burden of agricultural injuries and the likelihood of experiencing an injury by body part involved, cause, and nature in farming operations. (2) Methods: WC data from 2010 to 2016 provided by a large insurance company covering small to medium-sized farm operations from 14 U.S. states was used. We investigated the associations between injury characteristics and WC costs and the risk of having a more severe versus a less severe claim. …”
Publicado 2021
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68por Foster, Monique A., Hofmeister, Megan G., Albertson, Justin P., Brown, Kerri B., Burakoff, Alexis W., Gandhi, Ami P., Glenn-Finer, Rosie E., Gounder, Prabhu, Ho, Po-Yi, Kavanaugh, Tracy, Latash, Julia, Lewis, Rebecca L., Longmire, Atkinson G., Myrick-West, Angela, Perella, Dana M., Reddy, Vasudha, Stanislawski, Emma S., Stoltey, Juliet E., Sullivan, Susan M., Utah, Okey F., Zipprich, Jennifer, Teshale, Eyasu H.Enlace del recurso
Publicado 2021
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69por Grocke-Dewey, Michelle, Hardison-Moody, Annie, Haynes-Maslow, Lindsey, Maras, Shelly, Webber, Eliza, Andress, Lauri, Houghtaling, Bailey, Patton-Lopez, Megan, Shanks, Justin, Byker-Shanks, CarmenEnlace del recurso
Publicado 2021
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72“…In this paper, we explore the response of the safety net to COVID-19 using newly-collected survey data from one U.S. state–Utah. The rich Utah data ask about income and demographics as well as use of three social safety net programs which collectively provided a large share of relief spending: the Unemployment Insurance program, a social insurance program providing workers who lose their jobs with payments; the Supplemental Nutrition Assistance Program, which provides benefit cards for purchasing unprepared food at retailers; and Economic Impact Payments, which provided relatively universal relief payments to individuals. …”
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73por Hanna, David B., Buchacz, Kate, Gebo, Kelly A., Hessol, Nancy A., Horberg, Michael A., Jacobson, Lisa P., Kirk, Gregory D., Kitahata, Mari M., Korthuis, P. Todd, Moore, Richard D., Napravnik, Sonia, Patel, Pragna, Silverberg, Michael J., Sterling, Timothy R., Willig, James H., Collier, Ann, Samji, Hasina, Thorne, Jennifer E., Althoff, Keri N., Martin, Jeffrey N., Rodriguez, Benigno, Stuart, Elizabeth A., Gange, Stephen J.“…BACKGROUND: U.S. state AIDS Drug Assistance Programs (ADAPs) are federally funded to provide antiretroviral therapy (ART) as the payer of last resort to eligible persons with HIV infection. …”
Publicado 2013
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74por Whitmore, Christine C., White, Mary N., Buntin, Melinda B., Fry, Carrie E., Calamari, Kevin, Patrick, Stephen W.Enlace del recurso
Publicado 2018
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75por Stellefson, Michael, Wang, Min Qi, Balanay, Jo Anne G., Wu, Rui, Paige, Samantha R.“…Therefore, we conducted a latent class analysis of 2016 and 2017 Behavioral Risk Factor Surveillance System data from 1326 currently employed adults with COPD living in four U.S. states (KY, NC, TN, and WV) within the Central Appalachian Region. …”
Publicado 2020
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76por Soto, Raymond, Hsu, Christoper, Chuey, Meagan, Donnelly, Marisa, Chu, Victoria T, Schwartz, Noah G, Tong, Suxiang, Thornburg, Natalie J, Killerby, Marie E, Staples, J Erin, Kirking, Hannah L, Tate, Jacqueline, Matanock, Almea, Stringer, Ginger, Albanese, Bernadette, Beatty, Mark, Hughes, Laura JEnlace del recurso
Publicado 2021
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78por Kiel, Linda, Hsu, Clarissa, Wartko, Paige D., Albertson-Junkans, Ladia, Ewing, John, Lapham, Gwen T.Enlace del recurso
Publicado 2022
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79por McGinty, Emma E., Stuart, Elizabeth A., Caleb Alexander, G., Barry, Colleen L., Bicket, Mark C., Rutkow, Lainie“…BACKGROUND: The U.S. opioid epidemic has been driven by the high volume of opioids prescribed by healthcare providers. U.S. states have recently enacted four types of laws designed to curb high-risk prescribing practices, such as high-dose and long-term opioid prescribing, associated with opioid-related mortality: (1) mandatory Prescription Drug Monitoring Program (PDMP) enrollment laws, which require prescribers to enroll in their state’s PDMP, an electronic database of patients’ controlled substance prescriptions, (2) mandatory PDMP query laws, which require prescribers to query the PDMP prior to prescribing an opioid, (3) opioid prescribing cap laws, which limit the dose and/or duration of opioid prescriptions, and (4) pill mill laws, which strictly regulate pain clinics to prevent nonmedical opioid prescribing. …”
Publicado 2018
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80por Komro, Kelli A., Dunlap, Phenesse, Sroczynski, Nolan, Livingston, Melvin D., Kelly, Megan A., Pepin, Dawn, Markowitz, Sara, Rentmeester, Shelby, Wagenaar, Alexander C.Enlace del recurso
Publicado 2020
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