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753 results on '"Edelman, David"'

3. Exploring the importance of predisposing, enabling, and need factors for promoting Veteran engagement in mental health therapy for post-traumatic stress: a multiple methods study

Author

Shepherd-Banigan, Megan, Shapiro, Abigail, Stechuchak, Karen M., Sheahan, Kate L., Ackland, Princess E., Smith, Valerie A., Bokhour, Barbara G., Glynn, Shirley M., Calhoun, Patrick S., Edelman, David, Weidenbacher, Hollis J., Eldridge, Madeleine R., and Van Houtven, Courtney H.

Published
2023
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5. Implementation of an Intensive Telehealth Intervention for Rural Patients with Clinic-Refractory Diabetes

Author

Kobe, Elizabeth A., Lewinski, Allison A., Jeffreys, Amy S., Smith, Valerie A., Coffman, Cynthia J., Danus, Susanne M., Sidoli, Elisabeth, Greck, Beth D., Horne, Leanne, Saxon, David R., Shook, Susan, Aguirre, Lina E., Esquibel, Mary G., Evenson, Clarene, Elizagaray, Christopher, Nelson, Vivian, Zeek, Amanda, Weppner, William G., Scodellaro, Stephanie, Perdew, Cassie J., Jackson, George L., Steinhauser, Karen, Bosworth, Hayden B., Edelman, David, and Crowley, Matthew J.

Published
2022
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8. EQIP's First Year: A Step Closer to Higher Quality in Surgical Education

Author

Edhayan, Elango, DiSiena, Michael, Kent, Tara, Rubino, Matthew, Prabhu, Ajita, Rosenkranz, Kari, Brown, Carlos, Edelman, David, Srinivasan, Jahnavi, Cagir, Burt, Surick, Burton, Neville, Angela, Choi, Jennifer N., Yeung, Louise, Cassaro, Sebastiano, Iverson, Kyle, Nepomnayshy, Dmitry, Namm, Jukes, Dorion, Heath, Truitt, Michael, Hope, William, Berman, Russell, Harzman, Alan, Kothuru, Ravi, Feinman, Marcie, Hoey, Brian, Dresner, Lisa, Williams, Mark, Chojnacki, Karen, Schroll, Rebecca, Nehler, Mark, Sarosi, George, Porter, Michael, Kavic, Stephen, LaFemina, Jennifer, Lees, Jason, Kempenich, Jason, Daley, Brian, Bailey, Christina, Chang, Lily, Hildreth, Amy, Borgstrom, David, Tuttle, Rebecca M., Mpinga, Ebondo, Rivera, Nancy, Hai, Shaikh, Zera, Richard, Halverson, Amy, Schurr, Michael, Bradley, Matthew, Sirsi, Sandeep, Fuhrman, George, Brasel, Karen, Palesty, Alexander, Nehler, Mark R., Crandall Crandall, Marie, Thambi-Pillai, Thav, O'Rourke, Ann P., Joshi, Amit R.T., Nfonsam, Valentine, Relles, Daniel M., Murphy, Shawn, Ciolkosz, John, Fise, Tom, Klingensmith, Mary E., Hickey, Mark, Brunsvold, Melissa E., Korndorffer, James R., Jr., Jarman, Benjamin T., Smink, Douglas S., Terhune, Kyla, Kmiec, Kathryn, and Harrington, David T.

Published
2022
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9. A Multicenter Analysis of the Early Impact of COVID-19 on Junior Resident Operative Case Volume

Author

Kramer, Benjamin, Plitt, Gilman, French, Judith C., Nygaard, Rachel M., Cassaro, Sebastiano, Edelman, David A., Lees, Jason S., Meier, Andreas H., Joshi, Amit R.T., Johnson, Meredith P., Chavez, Jose, Hope, William W., Morrissey, Shawna, Gauvin, Jeffrey M., Puri, Ruchir, LaFemina, Jennifer, Kang, Hae Sung, Harzman, Alan E., Jaafar, Sahned, Chandramouli, Mathangi Anusha, and Lipman, Jeremy M.

Published
2022
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10. Virtual Integrated Primary Care Teams: Recommendations for Team-Based Care

Author

Mitzel, Luke D., Funderburk, Jennifer S., Buckheit, Katherine A., Gass, Julie C., Shepardson, Robyn L., and Edelman, David

Subjects
Health care teams -- Management, Telemedicine -- Usage, Behavioral health care -- Management, Primary health care -- Management, Company business management, Family and marriage, Health, Psychology and mental health
Abstract

Introduction: Integrated primary care teams are increasingly relying upon virtual care, including both telehealth and team members who are teleworking, due to the COVID-19 pandemic. This shift to virtual care can present challenges for the coordination and provision of team-based care in primary care. The current report uses extant literature on teams to provide recommendations to support integrated primary care teams, including behavioral health providers, in adapting to and sustaining virtual team-based care. Method: We used the Seven C's framework by Salas and colleagues (2015) to organize our findings and recommendations, focusing on coordination, cooperation, cognition, and communication. Results: Integrated primary care teams may benefit from tending to both implicit and explicit forms of coordination and the use of debriefs to improve team coordination. Given the potential challenge of trust in a virtual team, documentation of care coordination and reexamination of how feedback is provided to primary care providers may benefit team cooperation. Sharing team goals and crosstraining on specific aspects of team processes, such as communicating essential information to behavioral health providers for a warm handoff, may improve the cognition of the team. Teams may also benefit by findings ways to incorporate informal communication into the workflow and using closed-loop communication to decrease missed communications. Discussion: This report provides initial recommendations based on extant team literature to support integrated primary care teams in adapting to virtual care. Future work should build off this report by examining virtual integrated primary care teams and providing evidence-based recommendations to optimize virtual care. Public Significance Statement This brief report uses evidence from extant literature on teams to provide recommendations for integrated primary care teams that are increasingly relying upon virtual care during the COVID-19 pandemic. These recommendations may help integrated primary teams successfully transition to virtual team-based care during the pandemic and beyond. Keywords: integrated primary care, team-based care, behavioral health provider, virtual, The shift of primary care toward team-based care (Jackson et al., 2013) and integration of behavioral health providers (BHPs) to improve mental and behavioral health access (Possemato et al., 2018) [...]

Published
2021
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12. Association of Elevated Perioperative Blood Glucose With Complications and Postoperative Outcomes Following Traumatic Spine Surgery.

Author

BAKAES, YIANNI, SPITNALE, MICHAEL, GAUTHIER, CHASE, KUNG, JUSTIN E., EDELMAN, DAVID, BIDWELL, RICHARD, SHAHID, MICHEL, and GRABOWSKI, GREGORY

Abstract

Background: Perioperative blood glucose control has been demonstrated to influence outcomes following spine surgery, though this association has not been fully elucidated in patients with traumatic spine injuries. This study sought to determine the association between perioperative blood glucose levels and complications or outcomes in patients undergoing spine surgery due to injury. Methods: A retrospective review was conducted to identify patients who underwent spine surgery due to traumatic injuries between 1 March 2020 and 29 September 2022 at a single academic institution. Descriptive factors, complications, and outcomes were compared between those with a postoperative blood glucose level of <200 mg/dL and those with a preoperative glucose of <200 mg/dL. Results: Patients with a post- and preoperative blood glucose of ≥200 mg/dL had significantly higher odds of respiratory complications (OR = 2.1, 2.1, P = 0.02, 0.03), skin/wound complications (OR = 2.2, 2.8, P = 0.04, 0.03), and increased hospital length of stay (OR = 9.6, 12.1, P = 0.02, 0.03) compared with those with blood glucose of <200 mg/dL. Those with postoperative glucose ≥200 mg/dL also had significantly higher odds of inpatient mortality (OR = 4.5, P = 0.04) when controlling for confounding factors. Neither pre- nor postoperative blood glucose of ≥200 mg/dL was associated with an improvement in American Spinal Injury Association Impairment Scale score at the final follow-up when controlling for multiple confounding factors (P = 0.44, 0.06). Conclusion: Elevated blood glucose both pre- and postoperatively was associated with an increased rate of postoperative complications and negative postoperative outcomes. However, there was no association between elevated blood glucose levels and neurological recovery following traumatic spinal injury. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Practical telehealth to improve control and engagement for patients with clinic-refractory diabetes mellitus (PRACTICE-DM): Protocol and baseline data for a randomized trial

Author

Kobe, Elizabeth A., Edelman, David, Tarkington, Phillip E., Bosworth, Hayden B., Maciejewski, Matthew L., Steinhauser, Karen, Jeffreys, Amy S., Coffman, Cynthia J., Smith, Valerie A., Strawbridge, Elizabeth M., Szabo, Steven T., Desai, Shivan, Garrett, Mary P., Wilmot, Theresa C., Marcano, Teresa J., Overby, Donna L., Tisdale, Glenda A., Durkee, Melissa, Bullard, Susan, Dar, Moahad S., Mundy, Amy C., Hiner, Janette, Fredrickson, Sonja K., Majette Elliott, Nadya T., Howard, Teresa, Jeter, Deborah H., Danus, Susanne, and Crowley, Matthew J.

Published
2020
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18. Acute Care Surgery Model and Outcomes in Emergency General Surgery

Author

Arneson, Wallace, Atwal, Mandip, Barnes, Scott A., Bartholomew, David, Bates, Richard, Bowden, Kent C., Bozaan, Anthony, Bistolarides, Peter, Bruck, Christopher, Buhariwalla, Karen, Cherry-Bukowiec, Jill, Cheung, Laurence, Dolman, Heather, Edelman, David, Englesbe, Michael, Gallick, Harold L., Goethals, Andrea, Gordon, Andrew, Gustad, Krista, Haddad, Chadi G., Johnson, Jeffrey L., Kieninger, Alicia, Kolachalam, Ramachandra, Kwon, David S., Luchtefeld, Martin, Machado-Aranda, David, Markham, Kevin, McLeod, Michael, Meguid, Ahmed, Mikhail, Raouf A., Morey, Dawn E., Noble, Walter C., Obi, Shawn, Patel, Sujal, Pesta, Carl Matthew, Puls, Mark W., Richardson, Todd, Scipione, Christopher N., Sequeira, Melwyn, Shapiro, Brian, Spencer, Amy, Sugimoto, Kimiko D., Ulgenalp, Attila, VanWylen, Stephen, Veverka, Thomas J., Wagner, James, Wilson, Kenneth, Zwemer, Douglas, Alberts, Karen, Bailey, Teresa, Barnes, Jennifer, Behring, Heather, Christiansen, Cynthia, Cusick, Maryellen, Demeter, Nancy, Dunn, Angela, Gates, Elizabeth, Guild, Michele, Hayes, Julie, Hischke, Deb, Jobson, Denise, Kennedy, Jori, Machnacki, Jakcie, Moe, Barb, Myers, Shawanda, Parker, Beverly, Costello-Percha, Tina, Piazza, Jona, Pioch, Wendy, Poindexter, Amy, Reed, Jennifer, Riegel, Betty, Robertson, Dawn, Robertson, John, Ryan, Kris, Shaw, Connie, Jacob, Alisa Sherrard, Sweeny, Kim, Tadian, William, Thomas, Lori, Thompson, Deborah, Young, Mary, Chair, Committee, Campbell, Darrell A., Jr., Krapohl, Greta, Seese, Elizabeth, Bishop, Kathy, Armenti, Frederick, Brummett, Chad, Byrn, John, Galusca, Dragos, Hendren, Samantha, Hoppe, Beckie, Cleary, Robert, Hawk, Mary, Lloyd, Larry, Mansour, Ashraf, Moustarah, Fady, McCahill, Larry, Morgan, Dan, Noble, Walter, Percha, Tina, Poe, Lyndia, Ogilvie, James, Sugimoto, Kimiko, Wynkoop, Marianne, To, Kathleen B., Kamdar, Neil S., Patil, Preethi, Collins, Stacey D., Krapohl, Greta L., Campbell, Darrell (Skip), Jr., Englesbe, Michael J., Hemmila, Mark R., and Napolitano, Lena M.

Published
2019
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19. Evaluating Therapeutic Inertia in Two Telehealth Interventions for Type 2 Diabetes: Secondary Analyses of a Randomized Trial.

Author

Duffy, Ryan A., Jeffreys, Amy S., Coffman, Cynthia J., Alexopoulos, Anastasia-Stefania, Tarkington, Phillip E., Bosworth, Hayden, Edelman, David, and Crowley, Matthew J.

Subjects
TYPE 2 diabetes, CLINICAL trials monitoring, TELEMEDICINE, SECONDARY analysis, INTEGRATED health care delivery, MEDICATION therapy management
Abstract

Introduction:Although therapeutic inertia is a known driver of suboptimal type 2 diabetes control, little is known about how to combat this phenomenon. We analyzed randomized trial data to determine whether a comprehensive telehealth intervention was more effective than a less structured telehealth approach (telemonitoring and care coordination) at promoting treatment intensification in poorly controlled diabetes. Methods:Patients with poorly controlled type 2 diabetes were randomized 1:1 to telemonitoring/care coordination or a comprehensive telehealth intervention, which included an active, study provider-guided medication management component. Prospectively collected medication lists were used to determine whether treatment intensification occurred for each patient during 3-month intervals throughout the study period. To examine between-arm differences in treatment intensification over time, we fit a generalized estimation equation model. In each arm, hemoglobin A1c levels at the beginning and end of each 3-month interval were used to distinguish between therapeutic inertia and potentially appropriate nonintensification of treatment. Results:The mean, model-estimated likelihood of treatment intensification during 3-month intervals was 61.3% in the comprehensive telehealth group versus 48.6% for telemonitoring/care coordination (odds ratio 1.7, 95% confidence interval 1.2–2.2; p = 0.0007), with no evidence that treatment effect varied over time (p = 0.54). Treatment intervals with observed therapeutic inertia were more common in the telemonitoring/care coordination arm than the comprehensive telehealth arm (116/300, 39% vs. 57/275, 21%). Conclusions:A comprehensive telehealth approach that integrated protocol-guided medication management increased treatment intensification and reduced therapeutic inertia compared with a less structured telehealth approach. The studied approaches may serve as examples of how systems might use telehealth to combat therapeutic inertia. Clinical Trial Registration: ClinicalTrials.gov NCT03520413. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Bridging Income Generation with Group Integrated Care for cardiovascular risk reduction: Rationale and design of the BIGPIC study

Author

Vedanthan, Rajesh, Kamano, Jemima H., Lee, Hana, Andama, Benjamin, Bloomfield, Gerald S., DeLong, Allison K., Edelman, David, Finkelstein, Eric A., Hogan, Joseph W., Horowitz, Carol R., Manyara, Simon, Menya, Diana, Naanyu, Violet, Pastakia, Sonak D., Valente, Thomas W., Wanyonyi, Cleophas C., and Fuster, Valentin

Published
2017
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27. Correction to: Human-centered design as a guide to intervention planning for non-communicable diseases: the BIGPIC study from Western Kenya

Author

Leung, Claudia L., Naert, Mackenzie, Andama, Benjamin, Dong, Rae, Edelman, David, Horowitz, Carol, Kiptoo, Peninah, Manyara, Simon, Matelong, Winnie, Matini, Esther, Naanyu, Violet, Nyariki, Sarah, Pastakia, Sonak, Valente, Thomas, Fuster, Valentin, Bloomfield, Gerald S., Kamano, Jemima, and Vedanthan, Rajesh

Published
2020
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33. Open-label randomized trial of titrated disease management for patients with hypertension: Study design and baseline sample characteristics

Author

Jackson, George L., Weinberger, Morris, Kirshner, Miriam A., Stechuchak, Karen M., Melnyk, Stephanie D., Bosworth, Hayden B., Coffman, Cynthia J., Neelon, Brian, Van Houtven, Courtney, Gentry, Pamela W., Morris, Isis J., Rose, Cynthia M., Taylor, Jennifer P., May, Carrie L., Han, Byungjoo, Wainwright, Christi, Alkon, Aviel, Powell, Lesa, and Edelman, David

Published
2016
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47. Should Organizational Investment in Robotic Surgical Technology Ever Influence Surgeons' Decisions About Surgical Approach to Patients' Surgical Care?

Author

Rosen, Ryan D. and Edelman, David A.

Subjects
*INVESTMENTS, *HEALTH care industry, *SURGICAL robots, *ROBOTICS, *COST analysis, *TECHNOLOGY, *DECISION making in clinical medicine, *PATIENT care
Abstract

This commentary on a case considers balancing prospective benefits and harms of robotic technology use and argues that health care organizations should invest in centralizing robotic expertise in departments rather than having a mere collection of surgeons trained in robotics. This commentary also examines costs that should be considered in organizational determinations of robotics investments. [ABSTRACT FROM AUTHOR]

Published
2023
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