11 results on '"Quaife, Tanis"'
Search Results
2. The Social Media Index as an Indicator of Quality for Emergency Medicine Blogs: A METRIQ Study
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Alexander, Charlotte, Alkhalifah, Mohammed, Almehlisi, Abdulaziz S., Alqahtani, Saeed, Anderson, Scott, Anderson, Shelaina, Andrews, Colin, Andruko, Jocelyn, Ankel, Felix, Antony, Nikytha, Aryal, Diptesh, Backus, Barbra, Baird, Jennifer, Baker, Andrew, Batty, Sarah, Baylis, Jared, Beaumont, Braeden, Belcher, Chris, Benavides, Brent, Benham, Michael, Botta, Julian, Bouchard, Nicholas, Brazil, Victoria, Brumfield, Emily, Bryson, Anthony, Bunchit, Wisarut, Butler, Kat, Buzikievich, Lindy, Calcara, David, Carey, Rob, Carroll, Stephen, Cassidy, Louise, Challen, Kirsty, Chan, Kathryn, Chaplin, Tim, Chatham-Zvelebil, Natasha, Chen, Eric, Chen, Lucy, Chhabra, Sushant, Chin, Alvin, Chochi, Eric, Choudhri, Tina, Christensen, Jeremy, Colmers-Gray, Isabelle, Connors, Kimberly, Coppersmith, Veronica, Cosgrove, Abby, Costello, Gregory, Cullison, Kevin, D'Alessandro, Andrew, de Wit, Kerstin, Decock, Marie, Delbani, Rayan, Denq, William, Deutscher, Julianna, Devine, Brendan, Dorsett, Maia, Duda, Taylor, Dueweke, Justin, Dunphy, Teresa, Dyer, Sean, Eastley, Karthryn T, Edmonds, Marcia, Edwards, Ken, Ehrman, Robert, Elkhalidy, Youness, Fedor, Preston, Ficiur, Brian, Flynn, Caley, Fraser, Bill, Fu, Meagan, Fukakusa, James, Funk, Eric, Gaco, Damjan, Gawlik, Viktor, Ghaffarian, Kenn, Gharahbaghian, Laleh, Griffith, Phil, Griffith, Andrew, Grock, Andrew, Gronowski, Tanner, Grossman, Cathy, Gucwa, Jaroslaw, Gupta, Pawan, Gustafson, Alexandra, Guy, Andrew, Haas, Mary, Haciski, Stanislaw, Hajdinjak, Emina, Hall, Andrew K., Hammock, Regina, Hansel, Jan, Hart, Alexander, Hattin, Larissa, Herb, Brandon, Hilbert, SueLin, Hill, Jesse, Hill, Jeff, Ho, Amy, House, Emily, House, Nina, Huffman, James, Inboriboon, Charlie, Ireland, Alex, Jamal, Ali, Ali Jamil, Mohammad, Jansen, Victor, Jarou, Zach, Jia, Vivian, Johnston, Levi, Kalnow, Drew, Kapur, Puneet, Kelly, Seth, Kelson, Kyle, Kent, William, Khakhkhar, Rishi, Khurana, Jaasmit, Kilp, Ashley, Knapp, Scott, Kohler, Sebastian, Kruhlak, Ivanna, Lalani, Nadim, Lam, Samantha, Lank, Patrick, Laurie, Zander, Lea, Kristina, Leber, Ernest, Lee, Ching-Hsing, Lenes, Haakon, Lenora, Nilantha, Leontowicz, Jesse, Lien, Kelly, Lin, Yingchun, Lin, Michelle, Little, Andrew, Liu, Ivy, Liu, Harry, Liu, Steve, Louka, Stephanie, Lovell, Elise, Lowe, David, Lubberdink, Ashley, Luc, Jessica, Lyons, Casey, Ma, Sheng-Hsiang, MacLeod, Hugh, Mancuso, Nick, Maneshi, Anali, May, Jesse, Mayo, John, McDonnell, Mike, McLellan, Susan, McQuarrie, Carolyn, Nood, Julia, Mead, Therese, Meeuwisse, Cory, Meloy, Patrick, Menzies, Perry, Messman, Anne, Miazga, Stephen, Mills, Logan, Milne, Ken, Mix, Allan, Montag, Steve, Moore, Brendan, Morgenstern, Justin, Mott, Sarah, Mukherj, P., Mulla, Ali, Nandalal, Sheena, Nikel, Taylor, Nugent, Sean, Oakland, Morgan, Oberholzer, Werner, Otugo, Onyeka, Oyedokun, Taofiq Segun, Paddock, Mike, Pardhan, Alim, Patel, Kinjal, Paterson, Quinten, Patocka, Catherine, Patterson, Christine, Pearlman, James, Pelletier, Elyse Berger, Pelletier-Bui, Alexis, Phan, Marc, Poonja, Zafrina, Powell, Aubrey, Premkumar, Kamini, Prosen, Gregor, Puri, Vishal, Quaife, Tanis, Raffel, Ryan, Raja, Ali, Ramunno, Randi, Rang, Louise, Rannazzisi, Suzanne, Regan, Shauna, Rezaie, Salim R., Ridderikhof, Milan, Rogers, Vanessa, Roh, Christine, Rosa Carrillo, Dra. Maria, Rosenberg, Keith, Roure, Marina, Rudinsky, Sherri, Rudner, Joshua, Saleh, Adeeb, Sanderson, Will, Scheirer, Owen, Schofield, Paul, Schunk, Paul, Schwarz, Evan, Shahrabadi, Parisa, Shappell, Eric, Sheffield, Julia, Sherbino, Jonathan, Singh, Manpreet, Singson, Hector C, Slessor, Dave, Smith, Sam, Sneath, Paula, Sobehart, Robert, Spearing, Kerry, Stempien, James, Sternard, Britni, Stratton, Tara, Stuart, Katherine, Stuntz, Bob, Susalla, Michael, Sweeney, Colleen, Swisher, Loice, Swoboda, Henry, Syed, Shahbaz, Taira, Taku, Tambe, Nikhil, Tang, Richard, Targonsky, Elisha, Taylor, Rachel, Taylor, Alan, Taylor, Todd, Ting, Paxton, Tiwald, Gerhard, Tran, Kelvin, Tran, Evelyn, Trickovic, Jason, Trinquero, Paul, Trueger, Seth, Tyagi, Aaron, Umana, Manrique, Vallance, Patrick, Van den Berg, Patricia, Vargas, Luis, Verbeek, Rene, Viggers, Sandra, Vlodaver, Zlata, Wagner, Matthew, Walji, Noorin, Walter, Joe, Wan, Miranda, Wang, Rachel, Wanner, Gregory, Warawa, Wyatt, Ward, Mike, Weekes, Jennifer, Weersink, Kristen, Weessies, Cara, Whalen-Browne, Anna, Whiteside, Brian, Willis, Matthew, Wilmer, Jonas, Wong, Nelson, Woodcroft, Mark, Woods, Rob, Yau, Lawrence, Yee, Jessica, Yeh, Calvin, Ming Huang, Simon York, Yurkiw, Katherine, Zaver, Fareen, Zozula, Alexander, Thoma, Brent, Chan, Teresa M., Sifford, Derek, Siemens, Marshall, Paddock, Michael, and Grock, Andy
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- 2018
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3. Individual Gestalt Is Unreliable for the Evaluation of Quality in Medical Education Blogs: A METRIQ Study
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Alexander, Charlotte, Alkhalifah, Mohammed, Alqahtani, Saeed, Anderson, Scott, Anderson, Shelaina, Andrews, Colin, Andruko, Jocelyn, Ankel, Felix, Antony, Nikytha, Aryal, Diptesh, Backus, Barbra, Baird, Jennifer, Baker, Andrew, Batty, Sarah, Baylis, Jared, Beaumont, Braeden, Belcher, Chris, Benavides, Brent, Benham, Michael, Pelletier, Elyse Berger, Botta, Julian, Bouchard, Nicholas, Brazil, Victoria, Brumfield, Emily, Bryson, Anthony, Bunchit, Wisarut, Butler, Kat, Buzikievich, Lindy, Calcara, David, Carey, Rob, Carroll, Stephen, Lyons, Casey, Cassidy, Louise, Challen, Kirsty, Chaplin, Tim, Chatham-Zvelebil, Natasha, Chen, Eric, Chen, Lucy, Chhabra, Sushant, Chin, Alvin, Chochi, Eric, Choudhri, Tina, Christensen, Jeremy, Colmers-Gray, Isabelle, Connors, Kimberly, Coppersmith, Veronica, Cosgrove, Abby, Costello, Gregory, Cullison, Kevin, D'Alessandro, Andrew, de Wit, Kerstin, Decock, Marie, Delbani, Rayan, Denq, William, Deutscher, Julianna, Devine, Brendan, Dorsett, Maia, Duda, Taylor, Dueweke, Justin, Dunphy, Teresa, Dyer, Sean, Eastley, Kathryn T., Edmonds, Marcia, Edwards, Ken, Ehrman, Robert, Elkhalidy, Youness, Fedor, Preston, Ficiur, Brian, Flynn, Caley, Fraser, Bill, Fu, Meagan, Fukakusa, James, Funk, Eric, Gaco, Damjan, Gawlik, Viktor, Ghaffarian, Kenn, Gharahbaghian, Laleh, Griffith, Phil, Griffith, Andrew, Grock, Andrew, Gronowski, Tanner, Grossman, Cathy, Gucwa, Jaroslaw, Gupta, Pawan, Gustafson, Alexandra, Guy, Andrew, Haas, Mary, Haciski, Stanislaw, Hajdinjak, Emina, Hall, Andrew K., Hammock, Regina, Hansel, Jan, Hart, Alexander, Hattin, Larissa, Herb, Brandon, Hilbert, SueLin, Hill, Jesse, Hill, Jeff, Ho, Amy, House, Emily, House, Nina, Huffman, James, Inboriboon, Charlie, Ireland, Alex, Jamal, Mohammed Ali, Jansen, Victor, Jarou, Zach, Jia, Vivian, Johnston, Levi, Kalnow, Drew, Kapur, Puneet, Kelly, Seth, Kelson, Kyle, Kent, William, Khakhkhar, Rishi, Khurana, Jaasmit, Kilp, Ashley, Knapp, Scott, Kohler, Sebastian, Kruhlak, Ivanna, Lalani, Nadim, Lam, Samantha, Lank, Patrick, Laurie, Zander, Lea, Kristina, Leber, Ernest, Lee, Ching-Hsing, Lenes, Haakon, Lenora, Nilantha, Leontowicz, Jesse, Lien, Kelly, Lin, Yingchun, Lin, Michelle, Little, Andrew, Liu, Ivy, Liu, Harry, Liu, Steve, Louka, Stephanie, Lovell, Elise, Lowe, David, Lubberdink, Ashley, Luc, Jessica, Ma, Sheng-Hsiang, MacLeod, Hugh, Mancuso, Nick, Maneshi, Anali, Rosa Carrillo, Dra. Maria, May, Jesse, Mayo, John, McDonnell, Mike, McLellan, Susan, McQuarrie, Carolyn, Nood, Julia, Mead, Therese, Meeuwisse, Cory, Meloy, Patrick, Menzies, Perry, Messman, Anne, Miazga, Stephen, Mills, Logan, Milne, Ken, Mix, Allan, Montag, Steve, Moore, Brendon, Morgenstern, Justin, Mott, Sarah, Mukherj, P., Mulla, Ali, Nandalal, Sheena, Nikel, Taylor, Nugent, Sean, Oakland, Morgan, Oberholzer, Werner, Otugo, Onyeka, Oyedokun, Taofiq Segun, Paddock, Mike, Pardhan, Alim, Patel, Kinjal, Paterson, Quinten, Patocka, Catherine, Patterson, Christine, Pearlman, James, Pelletier-Bui, Alexis, Phan, Marc, Poonja, Zafrina, Powell, Aubrey, Premkumar, Kamini, Prosen, Gregor, Puri, Vishal, Quaife, Tanis, Raffel, Ryan, Raja, Ali, Ramunno, Randi, Rang, Louise, Rannazzisi, Suzanne, Regan, Shauna, Ridderikhof, Milan, Rogers, Vanessa, Roh, Christine, Rosenberg, Keith, Roure, Marina, Rudinsky, Sherri, Rudner, Joshua, Saleh, Adeeb, Sanderson, Will, Scheirer, Owen, Schofield, Paul, Schunk, Paul, Schwarz, Evan, Shahrabadi, Parisa, Shappell, Eric, Sheffield, Julia, Sherbino, Jonathan, Singh, Manpreet, Singson, Hector C., Slessor, Dave, Smith, Sam, Sneath, Paula, Sobehart, Robert, Spearing, Kerry, Stempien, James, Sternard, Britni, Stratton, Tara, Stuart, Katherine, Stuntz, Bob, Susalla, Michael, Sweeney, Colleen, Swisher, Loice, Swoboda, Henry, Syed, Shahbaz, Taira, Taku, Tambe, Nikhil, Tang, Richard, Targonsky, Elisha, Taylor, Rachel, Taylor, Alan, Taylor, Todd, Ting, Paxton, Tiwald, Gerhard, Tran, Kelvin, Tran, Evelyn, Trickovic, Jason, Trinquero, Paul, Trueger, Seth, Tyagi, Aaron, Umana, Manrique, Vallance, Patrick, Van den Berg, Patricia, Vargas, Luis, Verbeek, Rene, Viggers, Sandra, Vlodaver, Zlata, Wagner, Matthew, Walji, Noorin, Walter, Joe, Wan, Miranda, Wang, Rachel, Wanner, Gregory, Warawa, Wyatt, Ward, Mike, Weekes, Jennifer, Weersink, Kristen, Weessies, Cara, Whalen-Browne, Anna, Whiteside, Brian, Willis, Matthew, Wilmer, Jonas, Wong, Nelson, Woodcroft, Mark, Woods, Rob, Yau, Lawrence, Yee, Jessica, Yeh, Calvin, Ming Huang, Simon York, Yurkiw, Katherine, Zaver, Fareen, Zozula, Alexander, Thoma, Brent, Sebok-Syer, Stefanie S., Krishnan, Keeth, Siemens, Marshall, Trueger, N. Seth, Petrusa, Emil, and Chan, Teresa
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- 2017
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4. Surgeon-administered Ultrasound-guided Peripheral Nerve Blocks in Outpatient Procedures of the Upper Extremity
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Winter, Jessica, McLeod, Graham, Quaife, Tanis, and Petropolis, Christian
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- 2020
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5. Assessing the accuracy of algorithm-derived cardiorespiratory fitness in surgical patients: a prospective cohort study
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Hammal, Fadi, Quaife, Tanis, Purich, Kieran, Haennel, Robert, Gragasin, Ferrante S., Martin-Feeney, Daniella San, and Finegan, Barry A.
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- 2017
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6. Individual Gestalt Is Unreliable for the Evaluation of Quality in Medical Education Blogs: A METRIQ Study
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Thoma, Brent, Sebok-Syer, Stefanie S., Krishnan, Keeth, Siemens, Marshall, Trueger, Seth N., Colmers-Gray, Isabelle, Woods, Rob, Petrusa, Emil, Chan, Teresa, Alexander, Charlotte, Alkhalifah, Mohammed, Alqahtani, Saeed, Anderson, Scott, Anderson, Shelaina, Andrews, Colin, Andruko, Jocelyn, Ankel, Felix, Antony, Nikytha, Aryal, Diptesh, Backus, Barbra, Baird, Jennifer, Baker, Andrew, Batty, Sarah, Baylis, Jared, Beaumont, Braeden, Belcher, Chris, Benavides, Brent, Benham, Michael, Pelletier, Elyse Berger, Botta, Julian, Bouchard, Nicholas, Brazil, Victoria, Brumfield, Emily, Bryson, Anthony, Bunchit, Wisarut, Butler, Kat, Buzikievich, Lindy, Calcara, David, Carey, Rob, Carroll, Stephen, Lyons, Casey, Cassidy, Louise, Challen, Kirsty, Chaplin, Tim, Chatham-Zvelebil, Natasha, Chen, Eric, Chen, Lucy, Chhabra, Sushant, Chin, Alvin, Chochi, Eric, Choudhri, Tina, Christensen, Jeremy, Colmers-Gray, Isabelle, Connors, Kimberly, Coppersmith, Veronica, Cosgrove, Abby, Costello, Gregory, Cullison, Kevin, DʼAlessandro, Andrew, de Wit, Kerstin, Decock, Marie, Delbani, Rayan, Denq, William, Deutscher, Julianna, Devine, Brendan, Dorsett, Maia, Duda, Taylor, Dueweke, Justin, Dunphy, Teresa, Dyer, Sean, Eastley, Kathryn T., Edmonds, Marcia, Edwards, Ken, Ehrman, Robert, Elkhalidy, Youness, Fedor, Preston, Ficiur, Brian, Flynn, Caley, Fraser, Bill, Fu, Meagan, Fukakusa, James, Funk, Eric, Gaco, Damjan, Gawlik, Viktor, Ghaffarian, Kenn, Gharahbaghian, Laleh, Griffith, Phil, Griffith, Andrew, Grock, Andrew, Gronowski, Tanner, Grossman, Cathy, Gucwa, Jaroslaw, Gupta, Pawan, Gustafson, Alexandra, Guy, Andrew, Haas, Mary, Haciski, Stanislaw, Hajdinjak, Emina, Hall, Andrew K., Hammock, Regina, Hansel, Jan, Hart, Alexander, Hattin, Larissa, Herb, Brandon, Hilbert, SueLin, Hill, Jesse, Hill, Jeff, Ho, Amy, House, Emily, House, Nina, Huffman, James, Inboriboon, Charlie, Ireland, Alex, Jamal, Mohammed Ali, Jansen, Victor, Jarou, Zach, Jia, Vivian, Johnston, Levi, Kalnow, Drew, Kapur, Puneet, Kelly, Seth, Kelson, Kyle, Kent, William, Khakhkhar, Rishi, Khurana, Jaasmit, Kilp, Ashley, Knapp, Scott, Kohler, Sebastian, Kruhlak, Ivanna, Lalani, Nadim, Lam, Samantha, Lank, Patrick, Laurie, Zander, Lea, Kristina, Leber, Ernest, Lee, Ching-Hsing, Lenes, Haakon, Lenora, Nilantha, Leontowicz, Jesse, Lien, Kelly, Lin, Yingchun, Lin, Michelle, Little, Andrew, Liu, Ivy, Liu, Harry, Liu, Steve, Louka, Stephanie, Lovell, Elise, Lowe, David, Lubberdink, Ashley, Luc, Jessica, Ma, Sheng-Hsiang, MacLeod, Hugh, Mancuso, Nick, Maneshi, Anali, Carrillo, Dra. Maria Rosa, May, Jesse, Mayo, John, McDonnell, Mike, McLellan, Susan, McQuarrie, Carolyn, Nood, Julia, Mead, Therese, Meeuwisse, Cory, Meloy, Patrick, Menzies, Perry, Messman, Anne, Miazga, Stephen, Mills, Logan, Milne, Ken, Mix, Allan, Montag, Steve, Moore, Brendon, Morgenstern, Justin, Mott, Sarah, Mukherj, P., Mulla, Ali, Nandalal, Sheena, Nikel, Taylor, Nugent, Sean, Oakland, Morgan, Oberholzer, Werner, Otugo, Onyeka, Oyedokun, Taofiq Segun, Paddock, Mike, Pardhan, Alim, Patel, Kinjal, Paterson, Quinten, Patocka, Catherine, Patterson, Christine, Pearlman, James, Pelletier-Bui, Alexis, Phan, Marc, Poonja, Zafrina, Powell, Aubrey, Premkumar, Kamini, Prosen, Gregor, Puri, Vishal, Quaife, Tanis, Raffel, Ryan, Raja, Ali, Ramunno, Randi, Rang, Louise, Rannazzisi, Suzanne, Regan, Shauna, Ridderikhof, Milan, Rogers, Vanessa, Roh, Christine, Rosenberg, Keith, Roure, Marina, Rudinsky, Sherri, Rudner, Joshua, Saleh, Adeeb, Sanderson, Will, Scheirer, Owen, Schofield, Paul, Schunk, Paul, Schwarz, Evan, Shahrabadi, Parisa, Shappell, Eric, Sheffield, Julia, Sherbino, Jonathan, Singh, Manpreet, Singson, Hector C., Slessor, Dave, Smith, Sam, Sneath, Paula, Sobehart, Robert, Spearing, Kerry, Stempien, James, Sternard, Britni, Stratton, Tara, Stuart, Katherine, Stuntz, Bob, Susalla, Michael, Sweeney, Colleen, Swisher, Loice, Swoboda, Henry, Syed, Shahbaz, Taira, Taku, Tambe, Nikhil, Tang, Richard, Targonsky, Elisha, Taylor, Rachel, Taylor, Alan, Taylor, Todd, Ting, Paxton, Tiwald, Gerhard, Tran, Kelvin, Tran, Evelyn, Trickovic, Jason, Trinquero, Paul, Trueger, Seth, Tyagi, Aaron, Umana, Manrique, Vallance, Patrick, Van den Berg, Patricia, Vargas, Luis, Verbeek, Rene, Viggers, Sandra, Vlodaver, Zlata, Wagner, Matthew, Walji, Noorin, Walter, Joe, Wan, Miranda, Wang, Rachel, Wanner, Gregory, Warawa, Wyatt, Ward, Mike, Weekes, Jennifer, Weersink, Kristen, Weessies, Cara, Whalen-Browne, Anna, Whiteside, Brian, Willis, Matthew, Wilmer, Jonas, Wong, Nelson, Woodcroft, Mark, Woods, Rob, Yau, Lawrence, Yee, Jessica, Yeh, Calvin, Huang, Simon York Ming, Yurkiw, Katherine, Zaver, Fareen, and Zozula, Alexander
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- 2017
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7. Safety of Fleur-de-lis Abdominoplasty after Massive Weight Loss
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DeSerres, Joshua J., Quaife, Tanis, Morzycki, Alexander, Curran, Matthew W.T., and Toy, Jonathan
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- 2021
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8. Anterior Interosseous–to–Ulnar Motor Nerve Transfers: A Single Center's Experience in Restoring Intrinsic Hand Function.
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McLeod, Graham J., Peters, Blair R., Quaife, Tanis, Clark, Tod A., and Giuffre, Jennifer L.
- Abstract
Background: Transfer of the anterior interosseous nerve (AIN) into the ulnar motor branch improves intrinsic hand function in patients with high ulnar nerve injuries. We report our outcomes of this nerve transfer and hypothesize that any improvement in intrinsic hand function is beneficial to patients. Methods: A retrospective review of all AIN-to-ulnar motor nerve transfers, including both supercharged end-to-side (SETS) and end-to-end (ETE) transfers, from 2011 to 2018 performed by 2 surgeons was conducted. All adult patients who underwent this nerve transfer for any reason with greater than 6 months' follow-up and completed charts were included. Primary outcome measures were motor function using the British Medical Research Council (BMRC) grading system and subjective satisfaction with surgery using a visual analog scale. Secondary outcome measures included complications and donor site deficits. Results: Of the 57 patients who underwent nerve transfer, 32 patients met the inclusion criteria. The average follow-up and average time to surgery were 12 and 15.6 months, respectively. The overall average BMRC score was 2.9/5, with a trend toward better recovery in patients who received earlier surgery (<12 months = BMRC 3.7, ≥12 months = BMRC 2.2; P <.01). Patients with an SETS transfer had better results that those with an ETE transfer (SETS = 3.2, ETE = 2.6). There were no donor deficits after operation. One patient developed complex regional pain syndrome. Conclusions: Patients with earlier surgery and an in-continuity nerve (receiving an SETS transfer) showed improved recovery with a higher BMRC grade compared with those who underwent later surgery. Any improvements in intrinsic hand function would be beneficial to patients. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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9. Évaluation de la précision de la mesure de capacité cardiorespiratoire fondée sur un algorithme chez les patients chirurgicaux: une étude de cohorte prospective.
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Hammal, Fadi, Quaife, Tanis, Purich, Kieran, Haennel, Robert, Gragasin, Ferrante, Martin-Feeney, Daniella, Finegan, Barry, Gragasin, Ferrante S, Martin-Feeney, Daniella San, and Finegan, Barry A
- Abstract
Purpose: To determine if a non-exercise algorithm-derived assessment of cardiorespiratory fitness (CRFA) accurately predicted estimated values obtained using a six-minute walk test (CRF6MWD) and the Duke Activity Status Index (CRFDASI).Methods: Following research ethics board approval, an observational cohort study was conducted in selected, consenting patients undergoing elective surgery. Participants completed questionnaires assessing their self-reported exercise capacity. Their height, weight, waist circumference, and vital signs were measured. A six-minute walk test was performed twice with a 45-min rest interval between tests. The correlation between CRFA and both CRF6MWD and CRFDASI was determined.Results: Two hundred forty-two participants were included. Mean age was 62 (range 45-88 yr); 150 (62%) were male, 87 (36%) self-reported walking or jogging > 16 km per week, and 49 (20%) were current smokers. The CRFA and CRF6MWD were highly correlated (Pearson r = 0.878; P < 0.001). CRFA and CRFDASI were less strongly correlated (Pearson r = 0.252; P < 0.001). Among patients capable of walking > 427 m in the six-minute walk test, CRFA, CRF6MWD, and CRFDASI were equivalent.Conclusion: A non-exercise algorithm can estimate cardiorespiratory fitness in patients presenting for elective surgery. The variables required to compute CRFA can be obtained in a clinic setting without the need to engage in formal exercise testing. Further evaluation of CRFA as a predictor of long-term outcome in patients is warranted. [ABSTRACT FROM AUTHOR]- Published
- 2017
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10. The revised Approved Instructional Resources score: An improved quality evaluation tool for online educational resources.
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Grock A, Jordan J, Zaver F, Colmers-Gray IN, Krishnan K, Chan T, Thoma B, Alexander C, Alkhalifah M, Almehlisi AS, Alqahtani S, Anderson S, Anderson S, Andrews C, Andruko J, Antony N, Aryal D, Backus B, Baird J, Baker A, Batty S, Baylis J, Beaumont B, Belcher C, Benavides B, Benham M, Botta J, Berger Pelletier E, Bouchard N, Brazil V, Brumfield E, Bryson A, Bunchit W, Butler K, Buzikievich L, Calcara D, Carey R, Carrillo MR, Carroll S, Lyons C, Cassidy L, Challen K, Chan K, Chaplin T, Chatham-Zvelebil N, Chen E, Chen L, Chhabra S, Chin A, Chochi E, Choudhri T, Christensen J, Connors K, Coppersmith V, Cosgrove A, Costello G, Cullison K, D'Alessandro A, Wit K, Decock M, Delbani R, Denq W, Deutscher J, Devine B, Dorsett M, Duda T, Dueweke J, Dunphy T, Dyer S, Eastley KT, Edmonds M, Edwards K, Ehrman R, Elkhalidy Y, Fedor P, Ficiur B, Flynn C, Fraser B, Fu M, Fukakusa J, Funk E, Gaco D, Gawlik V, Ghaffarian K, Gharahbaghian L, Griffith A, Griffith P, Gronowski T, Grossman C, Gucwa J, Gupta P, Gustafson A, Guy A, Haas M, Haciski S, Hajdinjak E, Hall AK, Hammock R, Hansel J, Hart A, Hattin L, Herb B, Hilbert S, Hill J, Hill J, Ho A, House E, House N, Huang SYM, Huffman J, Inboriboon C, Ireland A, Jamal A, Jamil MA, Jansen V, Jarou Z, Jia V, Johnston L, Kalnow D, Kapur P, Kelly S, Kelson K, Kent W, Khakhkhar R, Khurana J, Kilp A, Knapp S, Kohler S, Kruhlak I, Lalani N, Lam S, Lank P, Laurie Z, Lea K, Leber E, Lee CH, Lenes H, Lenora N, Leontowicz J, Lien K, Lin M, Lin Y, Little A, Liu H, Liu I, Liu S, Louka S, Lovell E, Lowe D, Lubberdink A, Luc J, Ma SH, MacLeod H, Mancuso N, Maneshi A, May J, Mayo J, McDonnell M, McLellan S, McQuarrie C, Mead T, Meeuwisse C, Meloy P, Menzies P, Messman A, Miazga S, Mills L, Mix A, Montag S, Moore B, Morgenstern J, Mott S, Mukherj P, Mulla A, Nandalal S, Nikel T, Nood J, Nugent S, Oakland M, Oberholzer W, Otugo O, Oyedokun TS, Pardhan A, Patel K, Paterson Q, Patocka C, Patterson C, Pearlman J, Pelletier-Bui A, Phan M, Poonja Z, Powell A, Premkumar K, Prosen G, Puri V, Quaife T, Raffel R, Raja A, Ramunno R, Rang L, Rannazzisi S, Regan S, Rezaie SR, Ridderikhof M, Rogers V, Roh C, Rosenberg K, Roure M, Rudinsky S, Rudner J, Saleh A, Sanderson W, Scheirer O, Schofield P, Schunk P, Schwarz E, Shahrabadi P, Shappell E, Sheffield J, Singh M, Singson HC, Slessor D, Smith S, Sneath P, Sobehart R, Spearing K, Stempien J, Sternard B, Stratton T, Stuart K, Stuntz B, Susalla M, Sweeney C, Swisher L, Swoboda H, Syed S, Taira T, Tambe N, Tang R, Targonsky E, Taylor A, Taylor R, Taylor T, Ting P, Tiwald G, Tran E, Tran K, Trickovic J, Trinquero P, Tyagi A, Umana M, Vallance P, Van den Berg P, van Diepen K, Vargas L, Verbeek R, Viggers S, Vlodaver Z, Wagner M, Walji N, Walter J, Wan M, Wang R, Wanner G, Warawa W, Ward M, Weekes J, Weersink K, Weessies C, Whalen-Browne A, Whiteside B, Willis M, Wilmer J, Wong N, Woodcroft M, Woods R, Yau L, Yee J, Yeh C, Yurkiw K, Zaver F, and Zozula A
- Abstract
Background: Free Open-Access Medical education (FOAM) use among residents continues to rise. However, it often lacks quality assurance processes and residents receive little guidance on quality assessment. The Academic Life in Emergency Medicine Approved Instructional Resources tool (AAT) was created for FOAM appraisal by and for expert educators and has demonstrated validity in this context. It has yet to be evaluated in other populations., Objectives: We assessed the AAT's usability in a diverse population of practicing emergency medicine (EM) physicians, residents, and medical students; solicited feedback; and developed a revised tool., Methods: As part of the Medical Education Translational Resources: Impact and Quality (METRIQ) study, we recruited medical students, EM residents, and EM attendings to evaluate five FOAM posts with the AAT and provide quantitative and qualitative feedback via an online survey. Two independent analysts performed a qualitative thematic analysis with discrepancies resolved through discussion and negotiated consensus. This analysis informed development of an initial revised AAT, which was then further refined after pilot testing among the author group. The final tool was reassessed for reliability., Results: Of 330 recruited international participants, 309 completed all ratings. The Best Evidence in Emergency Medicine (BEEM) score was the component most frequently reported as difficult to use. Several themes emerged from the qualitative analysis: for ease of use-understandable, logically structured, concise, and aligned with educational value. Limitations include deviation from questionnaire best practices, validity concerns, and challenges assessing evidence-based medicine. Themes supporting its use include evaluative utility and usability. The author group pilot tested the initial revised AAT, revealing a total score average measure intraclass correlation coefficient (ICC) of moderate reliability (ICC = 0.68, 95% confidence interval [CI] = 0 to 0.962). The final AAT's average measure ICC was 0.88 (95% CI = 0.77 to 0.95)., Conclusions: We developed the final revised AAT from usability feedback. The new score has significantly increased usability, but will need to be reassessed for reliability in a broad population., Competing Interests: The authors have no potential conflicts to disclose. All authors had full access to all the study data and had final responsibility for the decision to submit for publication., (© 2021 by the Society for Academic Emergency Medicine.)
- Published
- 2021
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11. Sexual Harassment of Canadian Medical Students: A National Survey.
- Author
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Phillips SP, Webber J, Imbeau S, Quaife T, Hagan D, Maar M, and Abourbih J
- Abstract
Background: Despite explicit policies and reporting mechanisms in academia designed to prevent harassment and ensure respectful environments, sexual harassment persists. We report on a national survey of Canadian medical students' experiences of sexual harassment perpetrated by faculty, patients and peers, their responses to harassment, and their suggestions for improving the learning environment., Methods: With ethics approval from all 17 Canadian universities with medical schools, an invitation to participate in an anonymous, electronic survey was included in three Canadian Federation of Medical Students' newsletters (2016). Narrative information about sexual harassment during medical training, perpetrators, ways of coping, sources of support, formal and informal reporting/discussion, and suggestions for change was sought. Three authors then conducted a qualitative analysis and identified emergent themes., Findings: When asked to estimate the number of occurrences of SH experienced during medical school, 188 students reported 807 incidents perpetrated by peers, patients, and, to a lesser extent, faculty. Perpetrators were almost always men and 98% of victims were women. What emerged was a picture of social, educational, and individual conditions under which sexual harassment becomes normalised by faculty, peers and victims. Students often tried to ignore harassment despite finding it confusing, upsetting, and embarrassing. They offered strategies for schools to raise awareness, support students, and prevent or mitigate harms going forward., Interpretation: Sexual harassment is a part of the Canadian medical education environment where most who reported harassment are subject to the dual vulnerabilities of being learners and women. Although survey respondents recognised the systemic nature of the problem, as individuals they often described shame and self-blame when victimised, came up with solutions that implied they were the problem, and often reported thinking silence was less risky than confrontation or official reporting. Many participants believed in the transformative power of education - of themselves and faculty - as a means of improving the medical environment whilst we await social change.
- Published
- 2019
- Full Text
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