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Preference for and impact of telehealth vs in-person asthma visits among Black and Latinx adults.
Ugalde IC, Ratigan A, Merriman C, Cui J, Ericson B, Busse P, Carroll JK, Casale T, Celedón JC, Coyne-Beasley T, Fagan M, Fuhlbrigge AL, Villarreal GG, Hernandez PA, Jariwala S, Kruse J, Maher NE, Manning B, Mosnaim G, Nazario S, Pace WD, Phipatanakul W, Pinto-Plata V, Riley I, Rodriguez-Louis J, Salciccioli J, Shenoy K, Shields JB, Tarabichi Y, Sosa BT, Wechsler ME, Wisnivesky J, Yawn B, Israel E, Cardet JC. Ugalde IC, et al. Ann Allergy Asthma Immunol. 2023 Nov;131(5):614-627.e2. doi: 10.1016/j.anai.2023.07.012. Epub 2023 Jul 23. Ann Allergy Asthma Immunol. 2023. PMID: 37490981 Clinical Trial.
Poisonous plants in New Zealand: a review of those that are most commonly enquired about to the National Poisons Centre.
Slaughter RJ, Beasley DM, Lambie BS, Wilkins GT, Schep LJ. Slaughter RJ, et al. N Z Med J. 2012 Dec 14;125(1367):87-118. N Z Med J. 2012. PMID: 23321887 Review.
The most common poisonous plant enquiries, in decreasing order of frequency, were: black nightshade (Solanum nigrum), arum lily (Zantedeschia aethiopica), kowhai (Sophora spp.), euphorbia (Euphorbia spp.), peace lily (Spathiphyllum spp.), agapanthus (Agapanthus spp. …
The most common poisonous plant enquiries, in decreasing order of frequency, were: black nightshade (Solanum nigrum), arum lily (Zant …
Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation : Washington, DC, USA. 14-15 December 2015.
Chambers D, Simpson L, Hill-Briggs F, Neta G, Vinson C, Chambers D, Beidas R, Marcus S, Aarons G, Hoagwood K, Schoenwald S, Evans A, Hurford M, Rubin R, Hadley T, Barg F, Walsh L, Adams D, Mandell D, Martin L, Mignogna J, Mott J, Hundt N, Kauth M, Kunik M, Naik A, Cully J, McGuire A, White D, Bartholomew T, McGrew J, Luther L, Rollins A, Salyers M, Cooper B, Funaiole A, Richards J, Lee A, Lapham G, Caldeiro R, Lozano P, Gildred T, Achtmeyer C, Ludman E, Addis M, Marx L, Bradley K, VanDeinse T, Wilson AB, Stacey B, Powell B, Bunger A, Cuddeback G, Barnett M, Stadnick N, Brookman-Frazee L, Lau A, Dorsey S, Pullmann M, Mitchell S, Schwartz R, Kirk A, Dusek K, Oros M, Hosler C, Gryczynski J, Barbosa C, Dunlap L, Lounsbury D, O’Grady K, Brown B, Damschroder L, Waltz T, Powell B, Ritchie M, Waltz T, Atkins D, Imel ZE, Xiao B, Can D, Georgiou P, Narayanan S, Berkel C, Gallo C, Sandler I, Brown CH, Wolchik S, Mauricio AM, Gallo C, Brown CH, Mehrotra S, Chandurkar D, Bora S, Das A, Tripathi A, Saggurti N, Raj A, Hughes E, Jacobs B, Kirkendall E, Loeb D, Trinkley K, Yang M, Sprowell A, Nease D, Lyon A, Lewis C, Boyd M, Melvin A, Nicodimos S, Liu F, Jungbluth N, Lyon A, Lewis C, Boyd M, Melv… See abstract for full author list ➔ Chambers D, et al. Implement Sci. 2016 Aug 1;11 Suppl 2(Suppl 2):100. doi: 10.1186/s13012-016-0452-0. Implement Sci. 2016. PMID: 27490260 Free PMC article.
Hendricks Brown, Sanjay Mehrotra S16 Scorecards and dashboards to assure data quality of health management information system (HMIS) using R Dharmendra Chandurkar, Siddhartha Bora, Arup Das, Anand Tripathi, Niranjan Saggurti, Anita Raj S17 A big data approach for discovering and …
Hendricks Brown, Sanjay Mehrotra S16 Scorecards and dashboards to assure data quality of health management information system (HMIS) using R …