{"id":563,"date":"2020-09-21T17:18:06","date_gmt":"2020-09-21T17:18:06","guid":{"rendered":"https:\/\/www.hospitalinnovate.org\/covid19\/?page_id=563"},"modified":"2021-03-24T21:16:48","modified_gmt":"2021-03-24T21:16:48","slug":"tables-endnotes","status":"publish","type":"page","link":"https:\/\/www.hospitalinnovate.org\/covid19\/workforce-planning\/tables-endnotes\/","title":{"rendered":"Tables &#038; Endnotes"},"content":{"rendered":"<p>[vc_row full_width=&#8221;stretch_row_content_no_spaces&#8221; equal_height=&#8221;yes&#8221; content_placement=&#8221;bottom&#8221; css=&#8221;.vc_custom_1601590640538{margin-top: 0px !important;margin-bottom: 0px !important;border-bottom-width: 4px !important;padding-top: 0px !important;padding-right: 20px !important;padding-bottom: 0px !important;padding-left: 20px !important;background-color: #f2f2f2 !important;border-bottom-color: #2c5d73 !important;border-bottom-style: solid !important;}&#8221;][vc_column width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1599240993465{padding-right: 20px !important;padding-left: 10px !important;}&#8221;][cesis_icon_paragraph heading=&#8221;Workforce Planning Tables and Endnotes&#8221; text=&#8221;&#8221; margin_top=&#8221;40&#8243; icon_color=&#8221;#f7941d&#8221; h_icon_color=&#8221;#f7941d&#8221; heading_color=&#8221;#f7941d&#8221; heading_h_color=&#8221;#f7941d&#8221; heading_f_size=&#8221;24px&#8221; heading_f_weight=&#8221;600&#8243; heading_l_height=&#8221;30px&#8221; heading_t_transform=&#8221;none&#8221; icon=&#8221;fa-buddies&#8221;][\/cesis_icon_paragraph][\/vc_column][vc_column width=&#8221;1\/2&#8243;][cesis_breadcrumb pos=&#8221;cesis_breadcrumb_right&#8221; force_font=&#8221;custom&#8221; bread_color=&#8221;#2c5d73&#8243; bread_hover_color=&#8221;#2c5d73&#8243; f_size=&#8221;10px&#8221; f_weight=&#8221;300&#8243; t_transform=&#8221;uppercase&#8221; margin_bottom=&#8221;20&#8243;][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row_content_no_spaces&#8221; gap=&#8221;20&#8243; equal_height=&#8221;yes&#8221; css=&#8221;.vc_custom_1601590651887{margin-top: 0px !important;padding-top: 0px !important;padding-right: 20px !important;}&#8221;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1601590675224{margin-top: 0px !important;padding-top: 20px !important;padding-right: 8px !important;padding-bottom: 8px !important;padding-left: 8px !important;background-color: #f5f5f5 !important;}&#8221;][vc_column_text font_size=&#8221;16px&#8221; text_resize=&#8221;yes&#8221; text_minimum=&#8221;10&#8243; line_height=&#8221;1.25em&#8221; font_color=&#8221;#2c5d73&#8243; css=&#8221;.vc_custom_1601590710595{margin: 0px !important;}&#8221;]Workforce Planning[\/vc_column_text][vc_wp_custommenu nav_menu=&#8221;14&#8243;][\/vc_column][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1598110909397{padding-top: 8px !important;padding-right: 8px !important;padding-bottom: 8px !important;padding-left: 8px !important;border-radius: 4px !important;}&#8221;][vc_column_text css=&#8221;.vc_custom_1602198913844{margin-bottom: 0px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 5px !important;padding-left: 10px !important;}&#8221;]<\/p>\n<table border=\"1\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"40%\"><\/td>\n<td valign=\"top\" width=\"12%\">Yes,<br \/>\nstill utilizing<\/td>\n<td valign=\"top\" width=\"12%\">Yes,<br \/>\nbut discontinued<\/td>\n<td valign=\"top\" width=\"12%\">Planned,<br \/>\nbut didn&#8217;t implement<\/td>\n<td valign=\"top\" width=\"12%\">No<\/td>\n<td valign=\"top\" width=\"12%\">No<br \/>\nresponse<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Geographic cohorting<\/td>\n<td valign=\"top\">23 (79%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Exempt providers at high-risk from care of COVID-19 patients<\/td>\n<td valign=\"top\">22 (76%)<\/td>\n<td valign=\"top\">0 (0%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">3 (10%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Health care worker surveillance<\/td>\n<td valign=\"top\">18 (62%)<\/td>\n<td valign=\"top\">0 (0%)<\/td>\n<td valign=\"top\">0 (0%)<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Restructure or expand teams<\/td>\n<td valign=\"top\">17 (59%)<\/td>\n<td valign=\"top\">3 (10%)<\/td>\n<td valign=\"top\">3 (10%)<\/td>\n<td valign=\"top\">4 (14%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Virtual visits<\/td>\n<td valign=\"top\">16 (55%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Increase patient care units\/beds covered?<\/td>\n<td valign=\"top\">15 (52%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">7 (24%)<\/td>\n<td valign=\"top\">4 (14%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Decrease team census<\/td>\n<td valign=\"top\">13 (45%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">10 (34%)<\/td>\n<td valign=\"top\">3 (10%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Reduction in non-essential services<\/td>\n<td valign=\"top\">11 (38%)<\/td>\n<td valign=\"top\">7 (24%)<\/td>\n<td valign=\"top\">4 (14%)<\/td>\n<td valign=\"top\">5 (17%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Decrease documentation requirements<\/td>\n<td valign=\"top\">10 (34%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">4 (14%)<\/td>\n<td valign=\"top\">11 (38%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Change in rotation frequency<\/td>\n<td valign=\"top\">7 (24%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">17 (59%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Transfer patients to other facilities<\/td>\n<td valign=\"top\">7 (24%)<\/td>\n<td valign=\"top\">4 (14%)<\/td>\n<td valign=\"top\">5 (17%)<\/td>\n<td valign=\"top\">11 (38%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Community surge areas<\/td>\n<td valign=\"top\">3 (12%)<\/td>\n<td valign=\"top\">2 (8%)<\/td>\n<td valign=\"top\">8 (31%)<\/td>\n<td valign=\"top\">14 (54%)<\/td>\n<td valign=\"top\">2 (8%)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1600715347714{margin: 0px !important;padding: 0px !important;}&#8221;]<em>Table 1. High level adaptations<\/em>[\/vc_column_text][cesis_line_divider width=&#8221;&#8221; margin_top=&#8221;20&#8243;][vc_column_text css=&#8221;.vc_custom_1602198901041{margin-bottom: 0px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 5px !important;padding-left: 10px !important;}&#8221;]<\/p>\n<table border=\"1\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"40%\"><\/td>\n<td valign=\"top\" width=\"12%\">Yes,<br \/>\nstill utilizing<\/td>\n<td valign=\"top\" width=\"12%\">Yes,<br \/>\nbut discontinued<\/td>\n<td valign=\"top\" width=\"12%\">Planned,<br \/>\nbut didn&#8217;t implement<\/td>\n<td valign=\"top\" width=\"12%\">No<\/td>\n<td valign=\"top\" width=\"12%\">No<br \/>\nresponse<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Redeployment of residents<\/td>\n<td valign=\"top\">13 (45%)<\/td>\n<td valign=\"top\">5 (17%)<\/td>\n<td valign=\"top\">5 (17%)<\/td>\n<td valign=\"top\">3 (10%)<\/td>\n<td valign=\"top\">3 (10%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Added\/redeployed non-hospitalists<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">15 (52%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Added\/redeployed APPs<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">5 (17%)<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">4 (14%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Hospitalists caring for critically ill patients<\/td>\n<td valign=\"top\">8 (28%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Added\/redeployed fellows<\/td>\n<td valign=\"top\">7 (24%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">9 (31%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Hospitalists supervising other clinicians<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">1 (3%)<\/td>\n<td valign=\"top\">18 (62%)<\/td>\n<td valign=\"top\">6 (21%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Locums<\/td>\n<td valign=\"top\">0 (0%)<\/td>\n<td valign=\"top\">2 (7%)<\/td>\n<td valign=\"top\">0 (0%)<\/td>\n<td valign=\"top\">24 (83%)<\/td>\n<td valign=\"top\">3 (10%)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1600715750140{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}&#8221;]<em>Table 2. Team level adaptations<\/em>[\/vc_column_text][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row_content_no_spaces&#8221;][vc_column][cesis_line_divider width=&#8221;&#8221;][vc_column_text css=&#8221;.vc_custom_1608597204385{padding-top: 20px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;}&#8221;]<strong>References<\/strong><\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li>Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32648899\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pathophysiology, transmission, diagnosis, and treatment of Coronavirus Disease 2019 (COVID-19): a review<\/a>. <em>JAMA. <\/em>2020;324(8):782-793. doi: 10.1001\/jama.2020.12839<\/li>\n<li>Nicola M, Alsafi Z, Sohrabi C, et al. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32305533\/\" target=\"_blank\" rel=\"noopener noreferrer\">The socio-economic implications of the coronavirus pandemic (COVID-19): a review<\/a>. <em>Int J Surg. <\/em>2020;78:185-193. doi: 10.1016\/j.ijsu.2020.04.018<\/li>\n<li>Ziv S. <a href=\"https:\/\/www.forbes.com\/sites\/shaharziv\/2020\/06\/02\/coronavirus-pandemic-will-cost-us-economy-8-trillion\/#4a3ef50e15e4\" target=\"_blank\" rel=\"noopener noreferrer\">Coronavirus pandemic will cost U.S. economy $8 trillion<\/a>.\u00a0 Forbes. June 2, 2020.<\/li>\n<li>Bowden K, Burnham EL, Keniston A, et al. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32661930\/\" target=\"_blank\" rel=\"noopener noreferrer\">Harnessing the power of hospitalists in operational disaster planning: COVID-19<\/a>. <em>J Gen Intern Med. <\/em>2020;35(9):2732-2737. doi: 10.1007\/s11606-020-05952-6<\/li>\n<li>Auerbach A, O&#8217;Leary KJ, Greysen SR, et al. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32804610\/\" target=\"_blank\" rel=\"noopener noreferrer\">Hospital ward adaptation during the COVID-19 pandemic: a national survey of academic medical centers<\/a>. <em>J Hosp Med. <\/em>2020;15(8):483-488. doi: 10.12788\/jhm.3476<\/li>\n<li>Rees EM, Nightingale ES, Jafari Y, et al. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32878619\/\" target=\"_blank\" rel=\"noopener noreferrer\">COVID-19 length of hospital stay: a systematic review and data synthesis<\/a>. <em>BMC Med. <\/em>2020;18(1):270. doi: 10.1186\/s12916-020-01726-3<\/li>\n<li>George MP, Maier LA, Kasperbauer S, Eddy J, Mayer AS, Magin CM. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32710248\/\" target=\"_blank\" rel=\"noopener noreferrer\">How to leverage collaborations between the BME community and local hospitals to address critical personal protective equipment shortages during the COVID-19 pandemic<\/a>. <em>Ann Biomed Eng. <\/em>2020;48(9):2281-2284. doi: 10.1007\/s10439-020-02580-3<\/li>\n<li>He S, Ojo A, Beckman AL, et al. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32530813\/\" target=\"_blank\" rel=\"noopener noreferrer\">The story of #GetMePPE and GetUsPPE.org to mobilize health care response to COVID-19: rapidly deploying digital tools for better health care<\/a>. <em>J Med Internet Res. <\/em>2020;22(7):e20469. doi: 10.2196\/20469<\/li>\n<li>Einav S, Hick JL, Hanfling D, et al. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/25144407\/\" target=\"_blank\" rel=\"noopener noreferrer\">Surge capacity logistics: care of the critically ill and injured during pandemics and disasters: CHEST consensus statement<\/a>. <em>Chest. <\/em>2014;146(4 Suppl):e17S-e43S. doi: 10.1378\/chest.14-0734<\/li>\n<li>Persoff J, Ornoff D, Little C. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/30261086\/\" target=\"_blank\" rel=\"noopener noreferrer\">The role of hospital medicine in emergency preparedness: a framework for hospitalist leadership in disaster preparedness, response, and recovery<\/a>. <em>J Hosp Med. <\/em>2018;13(10):713-718. doi: 10.12788\/jhm.3073<\/li>\n<li>Nguyen AL, Wang FY. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/29141470\/\" target=\"_blank\" rel=\"noopener noreferrer\">Wide-reaching effects of and concerns regarding geographic localization of hospitalist units<\/a>. <em>Hosp Pract (1995). <\/em>2018;46(1):43-44. doi: 10.1080\/21548331.2018.1406775<\/li>\n<li>Singh S, Fletcher KE. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24549518\/\" target=\"_blank\" rel=\"noopener noreferrer\">A qualitative evaluation of geographical localization of hospitalists: how unintended consequences may impact quality<\/a>. <em>J Gen Intern Med. <\/em>2014;29(7):1009-1016. doi: 10.1007\/s11606-014-2780-6<\/li>\n<li>Bryson C, Boynton G, Stepczynski A, et al. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/28707548\/\" target=\"_blank\" rel=\"noopener noreferrer\">Geographical assignment of hospitalists in an urban teaching hospital: feasibility and impact on efficiency and provider satisfaction<\/a>. <em>Hosp Pract (1995). <\/em>2017;45(4):135-142. doi: 10.1080\/21548331.2017.1353884<\/li>\n<li>Elliott DJ, Young RS, Brice J, Aguiar R, Kolm P. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24686924\/\" target=\"_blank\" rel=\"noopener noreferrer\">Effect of hospitalist workload on the quality and efficiency of care<\/a>. <em>JAMA Intern Med. <\/em>2014;174(5):786-793. doi: 10.1001\/jamainternmed.2014.300<\/li>\n<li>Zoucha J, Hull M, Keniston A, et al. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/30496327\/\" target=\"_blank\" rel=\"noopener noreferrer\">Barriers to early hospital discharge: a cross-sectional study at five academic hospitals<\/a>. <em>J Hosp Med. <\/em>2018;13(12):816-822. doi: 10.12788\/jhm.3074<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row full_width=&#8221;stretch_row_content_no_spaces&#8221; 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