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1. Measuring the COVID-19 Financial Threat to Hospital Markets

Author

Anthony W. Orlando MSc, PhD and Robert I. Field JD, MPH, PhD

Subjects
Public aspects of medicine, RA1-1270
Abstract

Many hospitals have been straining under the financial stress of treating COVID-19 patients. Those experiencing the greatest strain are in markets burdened with high levels of debt and uncompensated care. We propose a new measure of financial risk in a hospital market, combining both pre-existing financial vulnerability and COVID-19 severity. It reveals the highest concentrations of risk in counties with high poverty, low population density, and high shares of foreign-born and non-White populations. The CARES Act Provider Relief Fund helped many of the hospitals in these regions, but it left many markets with the same overall vulnerability to financial strain from the next health crisis.

Published
2021
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2. Clinical decision support versus a paper-based protocol for massive transfusion: Impact on decision outcomes in a simulation study.

Author

Sanderson, BJ, Field, JD, Kocaballi, AB, Estcourt, LJ, Magrabi, F, Wood, EM, Coiera, E, Sanderson, BJ, Field, JD, Kocaballi, AB, Estcourt, LJ, Magrabi, F, Wood, EM, and Coiera, E

Abstract

BACKGROUND: Management of major hemorrhage frequently requires massive transfusion (MT) support, which should be delivered effectively and efficiently. We have previously developed a clinical decision support system (CDS) for MT using a multicenter multidisciplinary user-centered design study. Here we examine its impact when administering a MT. STUDY DESIGN AND METHODS: We conducted a randomized simulation trial to compare a CDS for MT with a paper-based MT protocol for the management of simulated hemorrhage. A total of 44 specialist physicians, trainees (residents), and nurses were recruited across critical care to participate in two 20-min simulated bleeding scenarios. The primary outcome was the decision velocity (correct decisions per hour) and overall task completion. Secondary outcomes included cognitive workload and System Usability Scale (SUS). RESULTS: There was a statistically significant increase in decision velocity for CDS-based management (mean 8.5 decisions per hour) compared to paper based (mean 6.9 decisions per hour; p .003, 95% CI 0.6-2.6). There was no significant difference in the overall task completion using CDS-based management (mean 13.3) compared to paper-based (mean 13.2; p .92, 95% CI -1.2-1.3). Cognitive workload was statistically significantly lower using the CDS compared to the paper protocol (mean 57.1 vs. mean 64.5, p .005, 95% CI 2.4-12.5). CDS usability was assessed as a SUS score of 82.5 (IQR 75-87.5). DISCUSSION: Compared to paper-based management, CDS-based MT supports more time-efficient decision-making by users with limited CDS training and achieves similar overall task completion while reducing cognitive load. Clinical implementation will determine whether the benefits demonstrated translate to improved patient outcomes.

Published
2023

3. Multicenter, multidisciplinary user-centered design of a clinical decision-support and simulation system for massive transfusion.

Author

Sanderson, B, Field, JD, Kocaballi, AB, Estcourt, LJ, Magrabi, F, Wood, EM, Coiera, EW, Sanderson, B, Field, JD, Kocaballi, AB, Estcourt, LJ, Magrabi, F, Wood, EM, and Coiera, EW

Abstract

BACKGROUND: Managing critical bleeding with massive transfusion (MT) requires a multidisciplinary team, often physically separated, to perform several simultaneous tasks at short notice. This places a significant cognitive load on team members, who must maintain situational awareness in rapidly changing scenarios. Similar resuscitation scenarios have benefited from the use of clinical decision support (CDS) tools. STUDY DESIGN AND METHODS: A multicenter, multidisciplinary, user-centered design (UCD) study was conducted to design a computerized CDS for MT. This study included analysis of the problem context with a cognitive walkthrough, development of a user requirement statement, and co-design with users of prototypes for testing. The final prototype was evaluated using qualitative assessment and the System Usability Scale (SUS). RESULTS: Eighteen participants were recruited across four institutions. The first UCD cycle resulted in the development of four prototype interfaces that addressed the user requirements and context of implementation. Of these, the preferred interface was further developed in the second UCD cycle to create a high-fidelity web-based CDS for MT. This prototype was evaluated by 15 participants using a simulated bleeding scenario and demonstrated an average SUS of 69.3 (above average, SD 16) and a clear interface with easy-to-follow blood product tracking. DISCUSSION: We used a UCD process to explore a highly complex clinical scenario and develop a prototype CDS for MT that incorporates distributive situational awareness, supports multiple user roles, and allows simulated MT training. Evaluation of the impact of this prototype on the efficacy and efficiency of managing MT is currently underway.

Published
2023

4. Serious Asthma Events with Fluticasone plus Salmeterol versus Fluticasone Alone

Author

Stempel, Da, Raphiou, Ih, Kral, Km, Yeakey, Am, Emmett, Ah, Prazma, Cm, Buaron, Ks, Pascoe, Sj, Austri, Investigators, Altieri, Hh, Antuni, Jd, Bergna, Ma, Cuadrado, Ja, De Gennaro MS, Fazio Lizandrelo CL, Gattolin, G, Gosn, Am, Larrateguy, Ld, Marcipar, Am, Maspero, Jf, Medina, Iv, Perez Chada RD, Silva, D, Victorio, Cf, Bardin, Pg, Carroll, Pa, Clements, Bs, Dore, Nd, Robinson, Pd, Fitzgerald, Da, Robinson, Pj, Russo, Ma, Sajkov, D, Thomas, Ps, Upham, Jw, Forstner, B, Kaik, G, Koeberl, Gh, Studnicka, M, Wallner, G, Balthazar, Y, Bauler, A, Dupont, Lj, Martinot, Jb, Ninane, V, Peché, R, Pilette, C, Dimitrova, R, Dimova, D, Kissyova Ibrishimova, G, Loboshka Becheva, M, Machkovska, M, Madjarov, S, Mandazhieva Pepelanova, M, Naidenova, I, Noleva, K, Takovska, N, Terziev, C, Aggarwal, Nk, Chapman, Kr, Csanadi, Ma, Dhillon, R, Henein, S, Kelly, Aj, Lam, As, Liem, Jj, Lougheed, Md, Lowe, Dw, Rizvi, Q, van den Berg, L, Zidel, B, Barros Monge MJ, Calvo Gil MA, Castillo Hofer CR, Diaz Amor PV, Lezana Soya, V, Quilodran Silva CN, Bolivar Grimaldos, F, Solarte-Rodriguez, I, Butkovic-Tomljanovic, R, Hegedus-Jungvirth, M, Ivkovic-Jurekovic, I, Simunov-Karuza, G, Buresova, M, Bursova, J, Fratrik, J, Guttlerova, E, Hartman, P, Jirmanova, I, Kalina, P, Kolman, P, Kucera, M, Povysilova, L, Pravda, P, Svabkova, A, Zakova, L, Backer, V, Maltbaek, N, Johnsen, Cr, Aries, Sp, Babyesiza, A, Barth, D, Benedix, A, Berg, P, Bergtholdt, B, Bettig, U, Bindig, Hw, Botzen, U, Brehler, R, Breyer, Go, Bruckhaus-Walter, M, Dapper, T, Eckhard, Jg, Engelhard, R, Feldmeyer, F, Fissan, H, Franz, Kh, Frick, Bs, Funck, J, Gessner, Cm, Ginko, T, Grigat, Ce, Grimm-Sachs, V, Groth, G, Hampf, J, Hanf, G, Havasi-Jost, G, Heinz, Gu, Helm, K, Hoeltz, S, Hofmann, S, Jander, R, Jandl, M, Jasch-Hoppe, B, Jung, T, Junggeburth, Jj, Kardos, P, Knueppel, W, Koch, T, Kolorz, C, Korduan, M, Korth-Wiemann, B, Krezdorn, Hg, Kroker, A, Kruell, M, Kuehne, P, Lenk, U, Liefring, E, Merke, J, Micke, L, Mitlehner, W, Mueller, H, Naudts, If, Neumann, G, Oldenburg, W, Overlack, A, Panzer, F, Reinholz, N, Remppis, R, Riegel, P, Rueckert, P, Schaetzl, Rj, Schauer, U, Hamelmann, E, Schenkenberger, I, Schlegel, V, Scholz, G, Schroers, M, Schwittay, A, Sebert, M, Tyler, K, Soemantri, Pa, Stock, P, Stuchlik, G, Unland, M, von Mallinckrodt, C, Wachter, J, Weber, U, Weberling, F, Wehgartner-Winkler, S, Weimer, J, Wiemer, S, Winkelmann, Ej, Zeisler, Kh, Ziegner, A, Zimny, Hh, Andrasofszky, Z, Bartha, A, Farkas, M, Gömöri, K, Kis, S, Major, K, Mészáros, I, Mezei, M, Rakvacs, M, Szalai, Z, Szántó, J, Szentesi, M, Szolnoki, E, Valyon, E, Zibotics, H, Anwar, J, Arimah, C, Djajalaksana, S, Rai, Ib, Setijadi, Ar, Setyanto, Db, Susanti, F, Syafiuddin, T, Syamsi, Ln, Wijanarko, P, Yunus, F, Bonavia, M, Braga, M, Chetta, Aa, Cerveri, I, Luisetti, M, Crimi, N, Cutrera, R, De Rosa, M, Esposito, S, Foresi, A, Gammeri, E, Iemoli, E, Legnani, Dl, Michetti, G, Pastorello, Ea, Pesci, A, Pistolesi, M, Riva, E, Romano, A, Scichilone, N, Terracciano, L, Tripodi, S, Choi, I, Kim, C, Kim, Js, Kim, Wj, Koh, Yy, Kwon, Ss, Lee, Sh, Lee, S, Lee, Sk, Park, Cs, Cirule, I, Eglite, R, Petrova, I, Poga, M, Smiltena, I, Chomiciene, A, Davoliene, I, Griskeviciene, V, Naudziunas, A, Naudziunas, S, Rudzeviciene, O, Sitkauskiene, B, Urbonas, G, Vaicius, D, Valavicius, A, Valiulis, A, Vebriene, J, bin Abdul Aziz FA, Daud, M, Ismail, Ai, Tengku Saifudin TI, Md Kassim RM, Mohd Fadzli FB, Wan Mohamad WH, Aguilar Dominguez PE, Aguilar-Orozco, Ra, Garza-Salinas, S, Ramirez-Diaz, Sp, Sánchez Llamas, F, Soto-Ramos, M, Velarde-Mora, Hj, Aguirre Sosa, I, Cisneros, Am, Estrella Viladegut RA, Matsuno Fuchigami, A, Adiaz-Baui, Tt, Bernan, Ap, Onia, Af, Sandagon, Mj, S-Naval, S, Yu, Cy, Bartuzi, Z, Bielous-Wilk, A, Błażowski, Ł, Bożek, A, Brzostek, J, Chorostowska-Wynimko, J, Ciekalska, K, Ziora, D, Cieslicki, J, Emeryk, A, Folcik, K, Gałuszka-Bilińska, A, Gawlik, R, Giejlo, M, Harat, R, Hofman, T, Jahnz-Różyk, K, Jedrzejczak, M, Kachel, T, Kamiński, D, Kelm Warchol, A, Konieczny, Z, Kwasniewski, A, Leszczyński, W, Mincewicz, G, Niezgoda, K, Olszewska-Ziąber, A, Onasz-Manitius, M, Pawlukiewicz, M, Piotrowicz, P, Piotrowski, W, Pisarczyk-Bogacka, E, Piskorz, P, Prokop-Staszecka, A, Roslan, A, Słomka, A, Smalera, E, Stelmach, I, Swierczynska-Krepa, M, Szmidt, M, Tarnowska-Matusiak, M, Tłuczykont, B, Tyminska, K, Waszkuc-Golonko, J, Wojciechowska, I, Alexandrescu, Ds, Neamtu, Ml, Todea, D, Alekseeva, E, Aleksandrova, E, Asherova, I, Barbarash, Ol, Bugrova, O, Bukreeva, Eb, Chermenskiy, A, Chizhova, O, Demko, I, Evdokimova, A, Giorgadze, Ml, Grigoryev, S, Irkhina, I, Khurkhurova, Nv, Kondyurina, Eg, Kostin, Vi, Kudelya, L, Laleko, Sl, Lenskaya, L, Levashov, S, Logvinenko, N, Martynov, A, Mizernitski, Y, Nemtsov, B, Novozhenov, Vg, Pavlishchuk, S, Popova, Vv, Reshetko, Ov, Sherenkov, A, Shirinsky, Vs, Shpagina, L, Soloviev, Ki, Tkachev, A, Trofimov, Vi, Vertkin, Al, Vorobeva, E, Idrisova, E, Yakushin, S, Zadionchenko, V, Zhiglinskaya, O, Zykov, K, Dopudja Pantic, V, Nadaskic, R, Nestorovic, B, Skodric Trifunovic, V, Stojanovic, A, Vukcevic, M, Vujic, T, Mitic Milikic, M, Banovcin, P, Horvathova, H, Karako, P Sr, Plutinsky, J, Pribulova, E, Szarazova, M, Zlatos, A, Adams, L, Badat, A, Bassa, A, Breedt, J, Bruning, A, Ellis, Gc, Emanuel, S, Fouche, Lf, Fulat, Ma, Gani, M, Ismail, Ms, Jurgens, Jc, Nell, H, Nieuwoudt, G, Noor, F, Bolliger, Ct, Puterman, As, Siddique, N, Trokis, Js, Vahed, Ya, Van Der Berg BJ, Van der Linden, M, Van Zyl, L, Visser, Ss, Antépara Ercoreca, I, Arnedillo Muñoz, A, Barbe Illa, F, Barreiro López, B, Blanco Aparicio, M, Boada Valmaseda, A, Bosque García, M, Bustamante Ruiz, A, Carretero Anibarro, P, Del Campo Matias, F, Echave-Sustaet, Jm, Espinosa de los Monteros Garde MJ, Garcia Hernandez GM, López Viña, A, Lores Obradors, L, Luengo Planas MT, Monsó Molas, E, Navarro Dourdil, A, Nieto García AJ, Perpina Tordera, M, Picado Valles, C, Rodriguez Alvarez Mdel, M, Saura Vinuesa, A, Serra Batlles, J, Soler Sempere MJ, Toran Montserrat, P, Valdés Cuadrado LG, Villasante Fernandez-Montes, C, Cheng, Sl, Chern, Jh, Chiu, Mh, Chung, Cl, Lai, Rs, Lin, Ck, Liu, Yc, Wang, Cc, Wei, Yf, Amer, L, Berenfus, Vi, Besh, L, Duka, Kd, Fushtey, Im, Garmash, N, Dudnyk, O, Godlevska, O, Vlasenko, Ma, Hospodarskyy, I, Iashyna, L, Kaladze, M, Khvelos, Si, Kostromina, Vp, Krakhmalova, O, Kryuchko, T, Kulynych, Ov, Krasko, Mp, Levchenko, O, Litvinova, T, Panina, Ss, Pasiyeshvili, Lm, Prystupa, Ln, Romaniuk, Li, Sirenko, I, Synenko, Vi, Vynnychenko, Lb, Yatsyshyn, Ri, Zaitsev, I, Zhebel, V, Zubarenko, O, Arthur, Cp, Brown, V, Burhan, H, Chaudhuri, R, Collier, D, Barnes, Nc, Davies, Ej, Ellery, A, Kwok, S, Lenney, W, Nordstrom, M, Pandya, Hc, Parker, Iw, Rajakulasingam, K, Seddon, P, Sharma, R, Thomas, Ec, Wakeling, Ja, Abalos-Galito, M, Abboy, C, Abreu, E, Ackerman, If, Acosta, Ia, Adaoag, Aa, Ahmed, M, Ali, Mi, Allen, Dr, Allen GG Jr, Diogo, Jj, Allison, Dc, Alwine, Lk, Apaliski, Sj, Arastu, Rs, Arora, Cm, Auerbach, D, Azzam, Sj, Badar FL 3rd, Baker, Jw, Barasch, Jp, Barber, Ma, Bardinas-Rodriguez, R, Barreiro, Tj, Baumbach, Rr, Baur, Ce, Baxter, Bs, Beach, Jl, Beasley, Rl, Beavins, Je, Beliveau, Wj, Benbow, Mj, Bennett, Nl, Bennett, Rl, Bernal, H, Bernstein, Di, Blaiss, Ms, Blumenthal, Kw, Boas, Sr, Borders, Jl, Boscia, Ja, Boulware, Wn, Bowling, Bt, Brabec, Ba, Bramlet, Dg, Figueroa, Dp, Brautigam, Df, Brownell, Jm, Bruce, Tr, Call, Rs, Campbell, Ca, Canaan, Ya, Cannon, Df, Carpio, Jm, Cathcart, Ws, Cevallos, Jp, Chauhan, Av, Chuang, Rb, Chevalier, D, Christensen, J, Christensen, Ta, Christina, Mo, Chrzanowski, Rr, Civitarese, Fa, Clark, Jp, Clifford, Dp, Lapidus, Rj, Coggi, Ja, Lenz, Jj, Cohen, Kr, Collins, Bg, Collins, H, Comellas, A, Condit, J, Cordasco EM Jr, Corder, Cn, Covar, Ra, Coverston, Kd, Croce, Sa, Cruz, H, Curtis, Ct, Daftary, Pk, Dalan, D, Dalawari, Sp, Daly, Wc, Davis, Kc, Dawes, Kw, Decotiis, Ba, Deluca, Rf, Desantis, Dm, De Valle OL, Diaz, Jl, Diaz, Jd, Dice, Jp, Elizalde, A, Hosler, Mr, Dixon, C, Dobkin, La, Dobrusin, Rs, Dransfield, Mt, Ebbeling, Wl, Edwards, Jd, Elacion, Jm, Elkayam, D, Ellison, Wt, Elsen, Jr, Engel, Lr, Ensz, Dj, Ericksen, Cl, Ervin, Je, Fang, C, Abrahamian, F, Farrah, Vb, Field, Jd, Fishman, Hj, Florea, R, Nayyar, S, Focil, A, Focauld, F, Franco MA Jr, Frandsen, Br, Ganti, K, Garcia, Fl, Lee, Wm, Garscadden, Ag, Gatti, Ea, Gellady, Am, George, Ar, Gibbon, Gw, Gleason, Gp, Goldberg, P, Goldstein, Mf, Gonzalez, Ge, Gower, Rg, Grande, Ja, Gregory, D, Grubb, Sd, Guthrie, Rp, Haas, Ta, Haft, Ks, Hajal, R, Hammond, Gd, Hansel, Nn, Hansen, Vr, Harris, Af, Hartman, An, Harvey, Rr, Hazan-Steinberg, S, Headley, Dm, Heigerick, Gc, Heller, Bn, Hendrix, El, Herrod, Jn, Hewitt, Mj, Hines, Rl, Hirdt, Ap, Hirschfield, Ja, Hoffman, Ks, Hogan, Ad, Howland, Wc, Hsu, Cc, Hsu, Fj, Hubbard, Wm, Hudson, Jd, Huffman, C, Hussain, M, Ioachimescu, Oc, Ismail, Ym, Jaffrani, Na, Jiang, N, Jones, Sw, Jordan, Rs, Joshi, Ke, Kaashmiri, Mw, Kalafer, M, Kamdar, Ba, Kanuga, Jg, Kao, Nl, Karetzky, M, Katsetos, Jc, Kay, Js, Kimmel, Ma, Kimura, Sh, Kingsley, Jk, Mahmood, Sm, Subich, Dc, Kirstein, Jl, Kleerup, Ec, Klein, Rm, Koh, Dw, Kohli, N, Koura, Fa, Kovacs, Sp, Kratzer, J, Kreit, Ci, Kreutter, Fm, Kubicki, Tm, Labuda, Jm, Latorre, Aj, Lara, Mm, Lechin, Ae, Lee, Jj, Lee, Md, Lentnek, Al, Lesh, Kw, Levins, Pf, Anspach, Rb, Levinsky, Dm, Lillestol, Mj, Lim, H, Livezey, Md, Lloyd-Turney, Cw, Lockey, Rf, Long, Ra, Lynch, Mj, Macgillivray, Bk, Mahadevan, Kp, Makam, Sk, Maloney, Mj, Mapel, D, Margolis, Bd, Margulies, J, Martin, Ef, Martin, Ee, Mascolo, M, Mataria, H, Sunbuli, M, Mathur, Rn, Mattar, Pn, Maynard, Km, Maynard, N, Mccormick, B, Mcelya, M, Mcevoy, Ce, Mckenzie, Wc, Medwedeff, Le, Mehta, Kd, Melamed, Ir, Meli, Jv, Merrick, Bh, Meyers, Pj, Miller, Bt, Minton, Sm, Miranda, Fg, Mohar, De, Montenegro, Ch, Morris, Fa, Morrison, Bs, Moss, Mh, Munoz, F, Naini, Gr, Nakamura, Ct, Naseeruddin, S, Nassim, C, Navazo, Lj, Nissim, Je, Norman, D, Oberoi, Ms, O'Connor, Tm, Offenberger, J, Orr, Rr, Osea, Ea, Paine, Wj, Rasmussen, Nl, Palatnik, M, Pangtay, D, Panuto, Ja, Patel, M, Perera, Ms, Perez, A, Peters PH Jr, Pimentel SM Jr, Pluto, Tm, Pollock, Mt, Posner, Ls, Pritchard, Jc, Pudi, Kk, Puig, Cm, Qaqundah, Py, Radbill, Mk, Rahman, St, Raikhel, M, Raissy, Hh, Ramstad, Ds, Ranasinghe, Es, Rangel, Os, Rapo, Se, Raschal, Sp, Reddy, Dg, Rehman, Sm, Reyes, Sr, Rhodes, Rb, Riffer, E, Rihal, Ps, Riley ED 4th, Rodriguez, Dh, Rogers, Cm, Rohlf, Jl, Romeu, H, Roney, Cw, Ronsick, So, Rosen, Jb, Rowe, Ms, Ruoff, Ge, Ryan, Eh, Saff, Rh, Saini, N, Anand, S, Balakrishnan, K, Samuels, Bs, Samuelson, Rj, Saniuk, Rj, Sargeant, Wo, Saunders, Mk, Saway, W, Scarupa, Md, White, Mv, Schear, Mj, Schwarz, Cm, Scott, Rb, Segall, N, Seibert, Af, Seidmeyer, V, Seidner, Mr, Seifer, Fd, Serje, J, Shah, Ms, Shah, Sb, Shapero, Pa, Shearer, Sd, Sheikh, Sq, Shepherd, Ts, Sher, Er, Sher, Ld, Short, Bh, Silas, Pe, Alvey, Jc, Silverfield, Jc, Simon, Sj, Sitar, S, Skoner, Dp, Smallow, Sa, Smart, Ba, Smith, Ca, Smith, Ke, Smith, Sk, Snyders, Gc, Soong, W, Soufer, J, Spangenthal, S, Stahlman, Je, Steele, Lg, Stegemoller, Rk, Stocks, J, Storms, Ww, Suen, J, Surowitz, Rz, Swauger, Jr, Taber, La, Tan, Ae, Pratt, Se, Tanus, T, Tarpay, Mm, Tarshis, Ga, Tenney, Jw, Tilghman, Kg, Trevino, Me, Troyan, Be, Twiddy, Sk, Updegrove, Jd, Urval, Kr, Uusinarkaus, Kt, Vaela, R, Van Cleeff, M, Varano, S, Vo, Qd, Wainz, Rj, Wald, Ja, Wall, Sj, Wasserman, Rl, Weinstein, Dl, Welker, Ja, Wellmon, B 2nd, Wells, T, Wenocur, Hs, Williams, Dl, Williams, Sl, Win, Ph, Wingo, Td, Wisman PP Jr, Wyszomierski, Da, Yamada, Hm, Yarows, S, Yunger TM Jr, Ziering, Rw., the AUSTRI Investigators, Stempel, D., Raphiou, I., Kral, K., Yeakey, A., Emmett, A., Prazma, C., Buaron, K., and Pascoe, S. Scichilone N tra i collaboratori

Subjects
Male, asthma, serious events, fluticasone, salmeterol, AUSTRI, Exacerbation, Intention to Treat Analysi, INHALED CORTICOSTEROIDS, Severity of Illness Index, law.invention, 0302 clinical medicine, Randomized controlled trial, law, immune system diseases, Ús terapèutic, Broncodilatadors, 030212 general & internal medicine, Child, Fluticasone, RISK, ACTING BETA-AGONISTS, EXACERBATIONS, METAANALYSIS, MORTALITY, SAFETY, DEATH, FDA, Medicine (all), Hazard ratio, General Medicine, Bronchodilator agents, Middle Aged, Fluticasone-Salmeterol Drug Combination, Bronchodilator Agents, Intention to Treat Analysis, Anesthesia, Female, Salmeterol, medicine.drug, Human, Adult, medicine.medical_specialty, Adolescent, Settore MED/10 - Malattie Dell'Apparato Respiratorio, Fluticasone propionate, 03 medical and health sciences, Double-Blind Method, Internal medicine, Administration, Inhalation, medicine, Humans, Asma, Bronchodilator Agent, Asthma, Aged, Proportional Hazards Models, business.industry, Therapeutic use, medicine.disease, respiratory tract diseases, 030228 respiratory system, Fluticasone Propionate, Salmeterol Xinafoate Drug Combination, Proportional Hazards Model, business
Abstract

BACKGROUND The safe and appropriate use of long-acting beta-agonists (LABAs) for the treatment of asthma has been widely debated. In two large clinical trials, investigators found a potential risk of serious asthma-related events associated with LABAs. This study was designed to evaluate the risk of administering the LABA salmeterol in combination with an inhaled glucocorticoid, fluticasone propionate. METHODS In this multicenter, randomized, double-blind trial, adolescent and adult patients (age, ≥12 years) with persistent asthma were assigned to receive either fluticasone with salmeterol or fluticasone alone for 26 weeks. All the patients had a history of a severe asthma exacerbation in the year before randomization but not during the previous month. Patients were excluded from the trial if they had a history of lifethreatening or unstable asthma. The primary safety end point was the first serious asthma-related event (death, endotracheal intubation, or hospitalization). Noninferiority of fluticasone–salmeterol to fluticasone alone was defined as an upper boundary of the 95% confidence interval for the risk of the primary safety end point of less than 2.0. The efficacy end point was the first severe asthma exacerbation. RESULTS Of 11,679 patients who were enrolled, 67 had 74 serious asthma-related events, with 36 events in 34 patients in the fluticasone–salmeterol group and 38 events in 33 patients in the fluticasone-only group. The hazard ratio for a serious asthmarelated event in the fluticasone–salmeterol group was 1.03 (95% confidence interval [CI], 0.64 to 1.66), and noninferiority was achieved (P = 0.003). There were no asthma-related deaths; 2 patients in the fluticasone-only group underwent asthmarelated intubation. The risk of a severe asthma exacerbation was 21% lower in the fluticasone–salmeterol group than in the fluticasone-only group (hazard ratio, 0.79; 95% CI, 0.70 to 0.89), with at least one severe asthma exacerbation occurring in 480 of 5834 patients (8%) in the fluticasone–salmeterol group, as compared with 597 of 5845 patients (10%) in the fluticasone-only group (P

Published
2016

5. Clinical decision support versus a paper-based protocol for massive transfusion: Impact on decision outcomes in a simulation study.

Author

Sanderson BJ, Field JD, Kocaballi AB, Estcourt LJ, Magrabi F, Wood EM, and Coiera E

Subjects
Humans, Computer Simulation, Hemorrhage, Multicenter Studies as Topic, Workload, Decision Support Systems, Clinical
Abstract

Background: Management of major hemorrhage frequently requires massive transfusion (MT) support, which should be delivered effectively and efficiently. We have previously developed a clinical decision support system (CDS) for MT using a multicenter multidisciplinary user-centered design study. Here we examine its impact when administering a MT., Study Design and Methods: We conducted a randomized simulation trial to compare a CDS for MT with a paper-based MT protocol for the management of simulated hemorrhage. A total of 44 specialist physicians, trainees (residents), and nurses were recruited across critical care to participate in two 20-min simulated bleeding scenarios. The primary outcome was the decision velocity (correct decisions per hour) and overall task completion. Secondary outcomes included cognitive workload and System Usability Scale (SUS)., Results: There was a statistically significant increase in decision velocity for CDS-based management (mean 8.5 decisions per hour) compared to paper based (mean 6.9 decisions per hour; p .003, 95% CI 0.6-2.6). There was no significant difference in the overall task completion using CDS-based management (mean 13.3) compared to paper-based (mean 13.2; p .92, 95% CI -1.2-1.3). Cognitive workload was statistically significantly lower using the CDS compared to the paper protocol (mean 57.1 vs. mean 64.5, p .005, 95% CI 2.4-12.5). CDS usability was assessed as a SUS score of 82.5 (IQR 75-87.5)., Discussion: Compared to paper-based management, CDS-based MT supports more time-efficient decision-making by users with limited CDS training and achieves similar overall task completion while reducing cognitive load. Clinical implementation will determine whether the benefits demonstrated translate to improved patient outcomes., (© 2023 AABB.)

Published
2023
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6. Multicenter, multidisciplinary user-centered design of a clinical decision-support and simulation system for massive transfusion.

Author

Sanderson B, Field JD, Kocaballi AB, Estcourt LJ, Magrabi F, Wood EM, and Coiera EW

Subjects
Humans, User-Centered Design, Blood Transfusion, Awareness, Computer Simulation, Decision Support Systems, Clinical
Abstract

Background: Managing critical bleeding with massive transfusion (MT) requires a multidisciplinary team, often physically separated, to perform several simultaneous tasks at short notice. This places a significant cognitive load on team members, who must maintain situational awareness in rapidly changing scenarios. Similar resuscitation scenarios have benefited from the use of clinical decision support (CDS) tools., Study Design and Methods: A multicenter, multidisciplinary, user-centered design (UCD) study was conducted to design a computerized CDS for MT. This study included analysis of the problem context with a cognitive walkthrough, development of a user requirement statement, and co-design with users of prototypes for testing. The final prototype was evaluated using qualitative assessment and the System Usability Scale (SUS)., Results: Eighteen participants were recruited across four institutions. The first UCD cycle resulted in the development of four prototype interfaces that addressed the user requirements and context of implementation. Of these, the preferred interface was further developed in the second UCD cycle to create a high-fidelity web-based CDS for MT. This prototype was evaluated by 15 participants using a simulated bleeding scenario and demonstrated an average SUS of 69.3 (above average, SD 16) and a clear interface with easy-to-follow blood product tracking., Discussion: We used a UCD process to explore a highly complex clinical scenario and develop a prototype CDS for MT that incorporates distributive situational awareness, supports multiple user roles, and allows simulated MT training. Evaluation of the impact of this prototype on the efficacy and efficiency of managing MT is currently underway., (© 2023 AABB.)

Published
2023
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8. Massive transfusion experience, current practice and decision support: A survey of Australian and New Zealand anaesthetists.

Author

Sanderson BJ, Field JD, Estcourt LJ, Wood EM, and Coiera EW

Subjects
Australia, Humans, New Zealand, Surveys and Questionnaires, Anesthetists, Blood Transfusion
Abstract

Massive transfusions guided by massive transfusion protocols are commonly used to manage critical bleeding, when the patient is at significant risk of morbidity and mortality, and multiple timely decisions must be made by clinicians. Clinical decision support systems are increasingly used to provide patient-specific recommendations by comparing patient information to a knowledge base, and have been shown to improve patient outcomes. To investigate current massive transfusion practice and the experiences and attitudes of anaesthetists towards massive transfusion and clinical decision support systems, we anonymously surveyed 1000 anaesthetists and anaesthesia trainees across Australia and New Zealand. A total of 228 surveys (23.6%) were successfully completed and 227 were analysed for a 23.3% response rate. Most respondents were involved in massive transfusions infrequently (88.1% managed five or fewer massive transfusion protocols per year) and worked at hospitals which have massive transfusion protocols (89.4%). Massive transfusion management was predominantly limited by timely access to point-of-care coagulation assessment and by competition with other tasks, with trainees reporting more significant limitations compared to specialists. The majority of respondents reported that they were likely, or very likely, both to use (73.1%) and to trust (85%) a clinical decision support system for massive transfusions, with no significant difference between anaesthesia trainees and specialists ( P  = 0.375 and P  = 0.73, respectively). While the response rate to our survey was poor, there was still a wide range of massive transfusion experience among respondents, with multiple subjective factors identified limiting massive transfusion practice. We identified several potential design features and barriers to implementation to assist with the future development of a clinical decision support system for massive transfusion, and overall wide support for a clinical decision support system for massive transfusion among respondents.

Published
2021
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9. Modulation of wild-type p53 activity by mutant p53 R273H depends on the p53 responsive element (p53RE). A comparative study between the p53REs of the MDM2, WAFI/Cip1 and Bax genes in the lung cancer environment. WAFI/Cip1 = WAF1/Cip1.

Author

Zacharatos PV, Gorgoulis VG, Kotsinas A, Manolis EN, Liloglou T, Rassidakis AN, Kanavaros P, Field JD, Halazonetis T, and Kittas C

Subjects
Cyclin-Dependent Kinase Inhibitor p21, DNA metabolism, Humans, Promoter Regions, Genetic, Proto-Oncogene Proteins c-mdm2, Transcription, Genetic, Transfection, bcl-2-Associated X Protein, Cyclins genetics, Lung Neoplasms genetics, Mutation, Nuclear Proteins, Proto-Oncogene Proteins genetics, Proto-Oncogene Proteins c-bcl-2, Response Elements, Tumor Suppressor Protein p53 physiology
Abstract

Wild-type (wt) p53 is a tumor-suppressor protein which acts via transcriptional and transcriptional-independent mechanisms. The transcriptional function of p53 is mediated by specific responsive elements (REs). The MDM2, WAF1/Cip1 and Bax genes possess p53REs and their activation by wt p53 induces cell cycle progression, arrest and programmed cell death (apoptosis), respectively. Mutations of the p53 gene are detected in more than 50% of the human malignant tumors. p53 mutants seem to have a more stable conformation and are suggested to exert dominant-negative inhibition of wt p53 in cells containing both wt and mutant (mt) alleles. However, recent studies show that certain mt p53 proteins posses a "gain of function" phenotype. In the present study, we examined the effects of the second most frequent p53 mutant R273H on the p53REs of the MDM2, WAF1/Cip1 and Bax genes in the H1299 non-small cell lung carcinoma cell line. Although mt p53 R273H alone was unable to bind and transactivate the corresponding p53REs, it enhanced the MDM2-p53RE mediated gene transcription of wt p53 (positive-dominant effect) and prevented the wt p53 transactivation of the p53REs of WAF1/Cip1 and Bax genes (negative-dominant effect). Our data suggest that in the appropriate environment, differential transcription of critical p53 target genes by certain p53 mutant proteins may illustrate another mechanism implicated in tumor development.

Published
1999

10. Oxotremorine neuromuscular blockade: effects of calcium and neostigmine and interactions with D-tubocurarine and decamethonium.

Author

Field JD and Bowen JM

Subjects
Animals, Calcium pharmacology, Diaphragm drug effects, Drug Interactions, Electric Stimulation, In Vitro Techniques, Male, Muscle Contraction drug effects, Neostigmine pharmacology, Rats, Decamethonium Compounds pharmacology, Neuromuscular Blocking Agents, Oxotremorine pharmacology, Tubocurarine pharmacology
Abstract

The neuromuscular blocking effect of oxotremorine (OT) on the indirectly stimulated rat diaphragm preparation was compared with that of d-tubocurarine (TC) and decamethonium (C10). Approximate equieffective concentrations of these compounds were 20 micrometer for OT, 1.8 micrometer for TC, and 75 micrometer for C10. Increasing the Ca2+ concentration by 1 mM reduced the rate of onset of OT and C10 blockades whereas TC blockade was almost completely reversed. Neostigmine (NEO) antagonized TC blockade while OT and C10 blockades were enhanced. A facilitatory after-effect of NEO was suppressed in preparations previously exposed to OT but not in those previously exposed to TC or C10. C10 transitorily antagonized TC blockade but not OT blockade. OT did not antagonize TC blockade. A subreceptor effect may be involved in the action of OT and may explain its differences when compared to C10.

Published
1978

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