Protocol for a two-arm pragmatic stepped-wedge hybrid effectiveness-implementation trial evaluating Engagement and Collaborative Management to Proactively Advance Sepsis Survivorship (ENCOMPASS)

Marc Kowalkowski, Tara Eaton, Andrew McWilliams, Hazel Tapp, Aleta Rios, Stephanie Murphy, Ryan Burns, Bella Gutnik, Katherine O'Hare, Lewis McCurdy, Michael Dulin, Christopher Blanchette, Shih-Hsiung Chou, Scott Halpern, Derek C Angus, Stephanie P Taylor, Marc Kowalkowski, Tara Eaton, Andrew McWilliams, Hazel Tapp, Aleta Rios, Stephanie Murphy, Ryan Burns, Bella Gutnik, Katherine O'Hare, Lewis McCurdy, Michael Dulin, Christopher Blanchette, Shih-Hsiung Chou, Scott Halpern, Derek C Angus, Stephanie P Taylor

Abstract

Background: Sepsis survivors experience high morbidity and mortality, and healthcare systems lack effective strategies to address patient needs after hospital discharge. The Sepsis Transition and Recovery (STAR) program is a navigator-led, telehealth-based multicomponent strategy to provide proactive care coordination and monitoring of high-risk patients using evidence-driven, post-sepsis care tasks. The purpose of this study is to evaluate the effectiveness of STAR to improve outcomes for sepsis patients and to examine contextual factors that influence STAR implementation.

Methods: This study uses a hybrid type I effectiveness-implementation design to concurrently test clinical effectiveness and gather implementation data. The effectiveness evaluation is a two-arm, pragmatic, stepped-wedge cluster randomized controlled trial at eight hospitals in North Carolina comparing clinical outcomes between sepsis survivors who receive Usual Care versus care delivered through STAR. Each hospital begins in a Usual Care control phase and transitions to STAR in a randomly assigned sequence (one every 4 months). During months that a hospital is allocated to Usual Care, all eligible patients will receive usual care. Once a hospital transitions to STAR, all eligible patients will receive STAR during their hospitalization and extending through 90 days from discharge. STAR includes centrally located nurse navigators using telephonic counseling and electronic health record-based support to facilitate best-practice post-sepsis care strategies including post-discharge review of medications, evaluation for new impairments or symptoms, monitoring existing comorbidities, and palliative care referral when appropriate. Adults admitted with suspected sepsis, defined by clinical criteria for infection and organ failure, are included. Planned enrollment is 4032 patients during a 36-month period. The primary effectiveness outcome is the composite of all-cause hospital readmission or mortality within 90 days of discharge. A mixed-methods implementation evaluation will be conducted before, during, and after STAR implementation.

Discussion: This pragmatic evaluation will test the effectiveness of STAR to reduce combined hospital readmissions and mortality, while identifying key implementation factors. Results will provide practical information to advance understanding of how to integrate post-sepsis management across care settings and facilitate implementation, dissemination, and sustained utilization of best-practice post-sepsis management strategies in other heterogeneous healthcare delivery systems.

Trial registration: NCT04495946 . Submitted July 7, 2020; Posted August 3, 2020.

Keywords: Continuity of patient care; Health services; Infection; Patient navigator; Pragmatic clinical trial; Sepsis.

Conflict of interest statement

Dr. Blanchette reports receiving salary from Novo Nordisk. No other disclosures were reported.

Figures

Fig. 1
Fig. 1
Overview of ENCOMPASS Stepped-Wedge Trial Design and Timeline. The ENCOMPASS trial design is depicted. Each study hospital begins in the Usual Care condition. Every 4 months, one study hospital transitions from Usual Care to the Sepsis Transition and Recovery (STAR) Program for the remainder of the trial. The sequence and timing of the transition for each hospital is randomly assigned. The total ENCOMPASS trial enrollment interval is 36 months. Implementation is evaluated before, during, and after the patient enrollment interval
Fig. 2
Fig. 2
Conceptual model describing the integration of STAR to improve post-sepsis care and outcomes. The elements of the Sepsis Transition and Recovery (STAR) program are shown mapped onto the Chronic Care Model framework. Adapted from Wagner EH, Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998
Fig. 3
Fig. 3
Sepsis Transition and Recovery (STAR) Program Description. The scheduled touchpoints for patients in the Sepsis Transition and Recovery (STAR) program are depicted. Patients and caregivers are first introduced to the STAR program during hospitalization at a participating Atrium Health (AH) facility. Specific STAR program tasks to be performed during the acute care (1, 2), discharge readiness (3), early post-acute transition (4), and 90-day post-acute (5, 6) intervals are summarized

References

    1. Fleischmann C, Scherag A, Adhikari NK, et al. Assessment of global incidence and mortality of hospital-treated Sepsis. Current estimates and limitations. Am J Respir Crit Care Med. 2016;193(3):259–272. doi: 10.1164/rccm.201504-0781OC.
    1. Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, Kumar A, Sevransky JE, Sprung CL, Nunnally ME, Rochwerg B, Rubenfeld GD, Angus DC, Annane D, Beale RJ, Bellinghan GJ, Bernard GR, Chiche JD, Coopersmith C, de Backer DP, French CJ, Fujishima S, Gerlach H, Hidalgo JL, Hollenberg SM, Jones AE, Karnad DR, Kleinpell RM, Koh Y, Lisboa TC, Machado FR, Marini JJ, Marshall JC, Mazuski JE, McIntyre LA, McLean AS, Mehta S, Moreno RP, Myburgh J, Navalesi P, Nishida O, Osborn TM, Perner A, Plunkett CM, Ranieri M, Schorr CA, Seckel MA, Seymour CW, Shieh L, Shukri KA, Simpson SQ, Singer M, Thompson BT, Townsend SR, van der Poll T, Vincent JL, Wiersinga WJ, Zimmerman JL, Dellinger RP. Surviving Sepsis campaign: international guidelines for Management of Sepsis and Septic Shock: 2016. Intensive Care Med. 2017;43(3):304–377. doi: 10.1007/s00134-017-4683-6.
    1. Kaukonen KM, Bailey M, Suzuki S, Pilcher D, Bellomo R. Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012. JAMA. 2014;311(13):1308–1316. doi: 10.1001/jama.2014.2637.
    1. Iwashyna TJ, Ely EW, Smith DM, Langa KM. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010;304(16):1787–1794. doi: 10.1001/jama.2010.1553.
    1. Shah FA, Pike F, Alvarez K, Angus D, Newman AB, Lopez O, Tate J, Kapur V, Wilsdon A, Krishnan JA, Hansel N, Au D, Avdalovic M, Fan VS, Barr RG, Yende S. Bidirectional relationship between cognitive function and pneumonia. Am J Respir Crit Care Med. 2013;188(5):586–592. doi: 10.1164/rccm.201212-2154OC.
    1. Schuler A, Wulf DA, Lu Y, Iwashyna TJ, Escobar GJ, Shah NH, Liu VX. The impact of acute organ dysfunction on long-term survival in Sepsis. Crit Care Med. 2018;46(6):843–849. doi: 10.1097/CCM.0000000000003023.
    1. Borges RC, Carvalho CR, Colombo AS, da Silva Borges MP, Soriano FG. Physical activity, muscle strength, and exercise capacity 3 months after severe sepsis and septic shock. Intensive Care Med. 2015;41(8):1433–1444. doi: 10.1007/s00134-015-3914-y.
    1. Annane D, Sharshar T. Cognitive decline after sepsis. Lancet Respir Med. 2015;3(1):61–69. doi: 10.1016/S2213-2600(14)70246-2.
    1. Jackson JC, Hopkins RO, Miller RR, Gordon SM, Wheeler AP, Ely EW. Acute respiratory distress syndrome, sepsis, and cognitive decline: a review and case study. South Med J. 2009;102(11):1150–1157. doi: 10.1097/SMJ.0b013e3181b6a592.
    1. Prescott HC, Langa KM, Iwashyna TJ. Readmission diagnoses after hospitalization for severe sepsis and other acute medical conditions. JAMA. 2015;313(10):1055–1057. doi: 10.1001/jama.2015.1410.
    1. Mayr FB, Talisa VB, Balakumar V, Chang CH, Fine M, Yende S. Proportion and cost of unplanned 30-day readmissions after Sepsis compared with other medical conditions. JAMA. 2017;317(5):530–531. doi: 10.1001/jama.2016.20468.
    1. Prescott HC, Angus DC. Enhancing recovery from Sepsis: a review. JAMA. 2018;319(1):62–75. doi: 10.1001/jama.2017.17687.
    1. Taylor SP, Chou SH, Sierra MF, Shuman TP, McWilliams AD, Taylor BT, Russo M, Evans SL, Rossman W, Murphy S, Cunningham K, Kowalkowski MA. Association between adherence to recommended care and outcomes for adult survivors of Sepsis. Ann Am Thorac Soc. 2020;17(1):89–97. doi: 10.1513/AnnalsATS.201907-514OC.
    1. Taylor S, Figueroa-Sierra M, Shuman T, et al. Post-sepsis care recommendations are associated with improved patient outcomes but adherence is low [abstract] Crit Care Med. 2019;47(1):636. doi: 10.1097/01.ccm.0000552064.94567.7c.
    1. Brownson RC, Allen P, Duggan K, Stamatakis KA, Erwin PC. Fostering more-effective public health by identifying administrative evidence-based practices: a review of the literature. Am J Prev Med. 2012;43(3):309–319. doi: 10.1016/j.amepre.2012.06.006.
    1. Bodenheimer T. Coordinating care--a perilous journey through the health care system. N Engl J Med. 2008;358(10):1064–1071. doi: 10.1056/NEJMhpr0706165.
    1. Coleman EA, Berenson RA. Lost in transition: challenges and opportunities for improving the quality of transitional care. Ann Intern Med. 2004;141(7):533–536. doi: 10.7326/0003-4819-141-7-200410050-00009.
    1. Kim CS, Flanders SA. In the clinic. Transitions of care. Ann Intern Med. 2013;158(5 Pt 1):ITC3–ITC1. doi: 10.7326/0003-4819-158-5-201303050-01003.
    1. Tschudy MM, Raphael JL, Nehal US, O'Connor KG, Kowalkowski M, Stille CJ. Barriers to care coordination and medical home implementation. Pediatrics. 2016;138(3):e20153458. doi: 10.1542/peds.2015-3458.
    1. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217–226. doi: 10.1097/MLR.0b013e3182408812.
    1. Hansen LO, Young RS, Hinami K, Leung A, Williams MV. Interventions to reduce 30-day rehospitalization: a systematic review. Ann Intern Med. 2011;155(8):520–528. doi: 10.7326/0003-4819-155-8-201110180-00008.
    1. Naylor MD, Aiken LH, Kurtzman ET, Olds DM, Hirschman KB. The care span: the importance of transitional care in achieving health reform. Health Aff (Millwood) 2011;30(4):746–754. doi: 10.1377/hlthaff.2011.0041.
    1. Barker D, McElduff P, D’Este C, Campbell MJ. Stepped wedge cluster randomised trials: a review of the statistical methodology used and available. BMC Med Res Methodol. 2016;16(1):69. doi: 10.1186/s12874-016-0176-5.
    1. Weijer C, Grimshaw JM, Eccles MP, McRae AD, White A, Brehaut JC, Taljaard M, Ottawa Ethics of Cluster Randomized Trials Consensus Group The Ottawa statement on the ethical design and conduct of cluster randomized trials. PLoS Med. 2012;9(11):e1001346. doi: 10.1371/journal.pmed.1001346.
    1. Chan AW, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, Hróbjartsson A, Mann H, Dickersin K, Berlin JA, Doré CJ, Parulekar WR, Summerskill WSM, Groves T, Schulz KF, Sox HC, Rockhold FW, Rennie D, Moher D. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158(3):200–207. doi: 10.7326/0003-4819-158-3-201302050-00583.
    1. Hemming K, Taljaard M, McKenzie JE, et al. Reporting of stepped wedge cluster randomised trials: extension of the CONSORT 2010 statement with explanation and elaboration. BMJ. 2018;363:k1614. doi: 10.1136/bmj.k1614.
    1. Loudon K, Treweek S, Sullivan F, Donnan P, Thorpe KE, Zwarenstein M. The PRECIS-2 tool: designing trials that are fit for purpose. BMJ. 2015;350(may08 1):h2147. doi: 10.1136/bmj.h2147.
    1. Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998;1(1):2–4.
    1. Coleman K, Austin BT, Brach C, Wagner EH. Evidence on the chronic care model in the new millennium. Health Aff (Millwood). 2009;28(1):75–85. doi: 10.1377/hlthaff.28.1.75.
    1. Parker VA, Lemak CH. Navigating patient navigation: crossing health services research and clinical boundaries. Adv Health Care Manag. 2011;11:149–183. doi: 10.1108/S1474-8231(2011)0000011010.
    1. Freeman HP. The history, principles, and future of patient navigation: commentary. Semin Oncol Nurs. 2013;29(2):72–75. doi: 10.1016/j.soncn.2013.02.002.
    1. Brenner AT, Hoffman R, McWilliams A, Pignone MP, Rhyne RL, Tapp H, Weaver MA, Callan D, de Hernandez BU, Harbi K, Reuland DS. Colorectal Cancer screening in vulnerable patients: promoting informed and shared decisions. Am J Prev Med. 2016;51(4):454–462. doi: 10.1016/j.amepre.2016.03.025.
    1. Shlay JC, Barber B, Mickiewicz T, Maravi M, Drisko J, Estacio R, Gutierrez G, Urbina C. Reducing cardiovascular disease risk using patient navigators, Denver, Colorado, 2007-2009. Prev Chronic Dis. 2011;8(6):A143.
    1. Scott LB, Gravely S, Sexton TR, Brzostek S, Brown DL. Examining the effect of a patient navigation intervention on outpatient cardiac rehabilitation awareness and enrollment. J Cardiopulm Rehabil Prev. 2013;33(5):281–291. doi: 10.1097/HCR.0b013e3182972dd6.
    1. Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4(1):50. doi: 10.1186/1748-5908-4-50.
    1. Kirk MA, Kelley C, Yankey N, Birken SA, Abadie B, Damschroder L. A systematic review of the use of the consolidated framework for implementation research. Implement Sci. 2016;11:72. doi: 10.1186/s13012-016-0437-z.
    1. HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. . For more information about HCUP data see .
    1. Rhee C, Dantes R, Epstein L, Murphy DJ, Seymour CW, Iwashyna TJ, Kadri SS, Angus DC, Danner RL, Fiore AE, Jernigan JA, Martin GS, Septimus E, Warren DK, Karcz A, Chan C, Menchaca JT, Wang R, Gruber S, Klompas M, for the CDC Prevention Epicenter Program Incidence and trends of Sepsis in US hospitals using clinical vs claims data, 2009-2014. JAMA. 2017;318(13):1241–1249. doi: 10.1001/jama.2017.13836.
    1. Mostel Z, Perl A, Marck M, Mehdi SF, Lowell B, Bathija S, Santosh R, Pavlov VA, Chavan SS, Roth J. Post-sepsis syndrome – an evolving entity that afflicts survivors of sepsis. Mol Med. 2019;26(1):6. doi: 10.1186/s10020-019-0132-z.
    1. Fernando SM, Tran A, Taljaard M, Cheng W, Rochwerg B, Seely AJE, Perry JJ. Prognostic accuracy of the quick sequential organ failure assessment for mortality in patients with suspected infection: a systematic review and meta-analysis. Ann Intern Med. 2018;168(4):266–275. doi: 10.7326/M17-2820.
    1. Williams JM, Greenslade JH, McKenzie JV, Chu K, Brown AFT, Lipman J. Systemic inflammatory response syndrome, quick sequential organ function assessment, and organ dysfunction: insights from a prospective database of ED patients with infection. Chest. 2017;151(3):586–596. doi: 10.1016/j.chest.2016.10.057.
    1. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, Bellomo R, Bernard GR, Chiche JD, Coopersmith CM, Hotchkiss RS, Levy MM, Marshall JC, Martin GS, Opal SM, Rubenfeld GD, van der Poll T, Vincent JL, Angus DC. The third international consensus definitions for Sepsis and septic shock (Sepsis-3) JAMA. 2016;315(8):801–810. doi: 10.1001/jama.2016.0287.
    1. Seymour CW, Liu VX, Iwashyna TJ, Brunkhorst FM, Rea TD, Scherag A, Rubenfeld G, Kahn JM, Shankar-Hari M, Singer M, Deutschman CS, Escobar GJ, Angus DC. Assessment of clinical criteria for Sepsis: for the third international consensus definitions for Sepsis and septic shock (Sepsis-3) JAMA. 2016;315(8):762–774. doi: 10.1001/jama.2016.0288.
    1. Raith EP, Udy AA, Bailey M, McGloughlin S, MacIsaac C, Bellomo R, Pilcher DV, for the Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes and Resource Evaluation (CORE) Prognostic accuracy of the SOFA score, SIRS criteria, and qSOFA score for in-hospital mortality among adults with suspected infection admitted to the intensive care unit. JAMA. 2017;317(3):290–300. doi: 10.1001/jama.2016.20328.
    1. de Grooth HJ, Geenen IL, Girbes AR, Vincent JL, Parienti JJ, Oudemans-van Straaten HM. SOFA and mortality endpoints in randomized controlled trials: a systematic review and meta-regression analysis. Crit Care. 2017;21(1):38. doi: 10.1186/s13054-017-1609-1.
    1. Shankar-Hari M, Saha R, Wilson J, Prescott HC, Harrison D, Rowan K, Rubenfeld GD, Adhikari NKJ. Rate and risk factors for rehospitalisation in sepsis survivors: systematic review and meta-analysis. Intensive Care Med. 2020;46(4):619–636. doi: 10.1007/s00134-019-05908-3.
    1. Prescott HC, Iwashyna TJ, Blackwood B, et al. Understanding and enhancing sepsis survivorship: priorities for research and practice. Am J Respir Crit Care Med. 2019;200:972. doi: 10.1164/rccm.201812-2383CP.
    1. Prescott HC, Costa DK. Improving long-term outcomes after Sepsis. Crit Care Clin. 2018;34(1):175–188. doi: 10.1016/j.ccc.2017.08.013.
    1. Kowalkowski M, Chou SH, McWilliams A, et al. Structured, proactive care coordination versus usual care for improving morbidity during post-acute care transitions for Sepsis (IMPACTS): a pragmatic, randomized controlled trial. Trials. 2019;20(1):660. doi: 10.1186/s13063-019-3792-7.
    1. McWilliams A, Roberge J, Anderson WE, Moore CG, Rossman W, Murphy S, McCall S, Brown R, Carpenter S, Rissmiller S, Furney S. Aiming to improve readmissions through InteGrated hospital transitions (AIRTIGHT): a pragmatic randomized controlled trial. J Gen Intern Med. 2019;34(1):58–64. doi: 10.1007/s11606-018-4617-1.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. doi: 10.1016/j.jbi.2008.08.010.
    1. Gaudry S, Messika J, Ricard JD, Guillo S, Pasquet B, Dubief E, Boukertouta T, Dreyfuss D, Tubach F. Patient-important outcomes in randomized controlled trials in critically ill patients: a systematic review. Ann Intensive Care. 2017;7(1):28. doi: 10.1186/s13613-017-0243-z.
    1. Liu V, Escobar GJ, Greene JD, Soule J, Whippy A, Angus DC, Iwashyna TJ. Hospital deaths in patients with sepsis from 2 independent cohorts. JAMA. 2014;312(1):90–92. doi: 10.1001/jama.2014.5804.
    1. Berenson RA, Paulus RA, Kalman NS. Medicare's readmissions-reduction program--a positive alternative. N Engl J Med. 2012;366(15):1364–1366. doi: 10.1056/NEJMp1201268.
    1. Zuckerman RB, Sheingold SH, Orav EJ, Ruhter J, Epstein AM. Readmissions, observation, and the hospital readmissions reduction program. N Engl J Med. 2016;374(16):1543–1551. doi: 10.1056/NEJMsa1513024.
    1. Gupta A, Allen LA, Bhatt DL, Cox M, DeVore AD, Heidenreich PA, Hernandez AF, Peterson ED, Matsouaka RA, Yancy CW, Fonarow GC. Association of the Hospital Readmissions Reduction Program Implementation with Readmission and Mortality Outcomes in heart failure. JAMA Cardiol. 2018;3(1):44–53. doi: 10.1001/jamacardio.2017.4265.
    1. Quinn J, Kramer N, McDermott D. Validation of the social security death index (SSDI): an important readily-available outcomes database for researchers. West J Emerg Med. 2008;9(1):6–8.
    1. Groff AC, Colla CH, Lee TH. Days spent at home - a patient-centered goal and outcome. N Engl J Med. 2016;375(17):1610–1612. doi: 10.1056/NEJMp1607206.
    1. Dinglas VD, Faraone LN, Needham DM. Understanding patient-important outcomes after critical illness: a synthesis of recent qualitative, empirical, and consensus-related studies. Curr Opin Crit Care. 2018;24(5):401–409. doi: 10.1097/MCC.0000000000000533.
    1. Harhay MO, Casey JD, Clement M, Collins SP, Gayat É, Gong MN, Jaber S, Laterre PF, Marshall JC, Matthay MA, Monroe RE, Rice TW, Rubin E, Self WH, Mebazaa A. Contemporary strategies to improve clinical trial design for critical care research: insights from the first critical care clinical Trialists workshop. Intensive Care Med. 2020;46(5):930–942. doi: 10.1007/s00134-020-05934-6.
    1. Rudd KE, Johnson SC, Agesa KM, Shackelford KA, Tsoi D, Kievlan DR, Colombara DV, Ikuta KS, Kissoon N, Finfer S, Fleischmann-Struzek C, Machado FR, Reinhart KK, Rowan K, Seymour CW, Watson RS, West TE, Marinho F, Hay SI, Lozano R, Lopez AD, Angus DC, Murray CJL, Naghavi M. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the global burden of disease study. Lancet. 2020;395(10219):200–211. doi: 10.1016/S0140-6736(19)32989-7.
    1. Agana DFG, Striley CW, Cook RL, Cruz-Almeida Y, Carek PJ, Salemi JL. A novel approach to characterizing readmission patterns following hospitalization for ambulatory care-sensitive conditions. J Gen Intern Med. 2020;35(4):1060–1068. doi: 10.1007/s11606-020-05643-2.
    1. Hussey MA, Hughes JP. Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials. 2007;28(2):182–191. doi: 10.1016/j.cct.2006.05.007.
    1. Baio G, Copas A, Ambler G, Hargreaves J, Beard E, Omar RZ. Sample size calculation for a stepped wedge trial. Trials. 2015;16(1):354. doi: 10.1186/s13063-015-0840-9.
    1. VanderWeele TJ. On the distinction between interaction and effect modification. Epidemiology. 2009;20(6):863–871. doi: 10.1097/EDE.0b013e3181ba333c.
    1. Corraini P, Olsen M, Pedersen L, Dekkers OM, Vandenbroucke JP. Effect modification, interaction and mediation: an overview of theoretical insights for clinical investigators. Clin Epidemiol. 2017;9:331–338. doi: 10.2147/CLEP.S129728.
    1. Knol MJ, VanderWeele TJ. Recommendations for presenting analyses of effect modification and interaction. Int J Epidemiol. 2012;41(2):514–520. doi: 10.1093/ije/dyr218.
    1. Fergusson D, Aaron SD, Guyatt G, Hebert P. Post-randomisation exclusions: the intention to treat principle and excluding patients from analysis. BMJ. 2002;325(7365):652–654. doi: 10.1136/bmj.325.7365.652.
    1. Little RJ. Pattern-mixture models for multivariate incomplete data. J Am Stat Assoc. 1993;88:125–134.
    1. Guo W, Ratcliffe SJ, Have TTT. A random pattern-mixture model for longitudinal data with dropouts. J Am Stat Assoc. 2004;99(468):929–937. doi: 10.1198/016214504000000674.
    1. Prescott HC, Osterholzer JJ, Langa KM, Angus DC, Iwashyna TJ. Late mortality after sepsis: propensity matched cohort study. BMJ. 2016;353:i2375. doi: 10.1136/bmj.i2375.
    1. Rhee C, Jones TM, Hamad Y, Pande A, Varon J, O’Brien C, Anderson DJ, Warren DK, Dantes RB, Epstein L, Klompas M, for the Centers for Disease Control and Prevention (CDC) Prevention Epicenters Program Prevalence, underlying causes, and preventability of Sepsis-associated mortality in US acute care hospitals. JAMA Netw Open. 2019;2(2):e187571. doi: 10.1001/jamanetworkopen.2018.7571.
    1. Hooper R, Teerenstra S, de Hoop E, Eldridge S. Sample size calculation for stepped wedge and other longitudinal cluster randomised trials. Stat Med. 2016;35(26):4718–4728. doi: 10.1002/sim.7028.
    1. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89(9):1322–1327. doi: 10.2105/AJPH.89.9.1322.
    1. Salzmann-Erikson M. Using focused ethnography to explore and describe the process of nurses' shift reports in a psychiatric intensive care unit. J Clin Nurs. 2018;27(15–16):3104–3114. doi: 10.1111/jocn.14502.
    1. Cruz EV, Higginbottom G. The use of focused ethnography in nursing research. Nurse Res. 2013;20(4):36–43. doi: 10.7748/nr2013.03.20.4.36.e305.
    1. Bradley EH, Curry LA, Devers KJ. Qualitative data analysis for health services research: developing taxonomy, themes, and theory. Health Serv Res. 2007;42(4):1758–1772. doi: 10.1111/j.1475-6773.2006.00684.x.
    1. Ramsey SD, Willke RJ, Glick H, Reed SD, Augustovski F, Jonsson B, Briggs A, Sullivan SD. Cost-effectiveness analysis alongside clinical trials II-an ISPOR good research practices task force report. Value Health. 2015;18(2):161–172. doi: 10.1016/j.jval.2015.02.001.
    1. Drabinski A, Williams G, Formica C. Observational evaluation of health state utilities among a cohort of sepsis patients. Value Health. 2001;4(2):128–129.
    1. Lee H, Doig CJ, Ghali WA, Donaldson C, Johnson D, Manns B. Detailed cost analysis of care for survivors of severe sepsis. Crit Care Med. 2004;32(4):981–985. doi: 10.1097/01.CCM.0000120053.98734.2C.
    1. Karlsson S, Ruokonen E, Varpula T, Ala-Kokko TI, Pettila V, Finnsepsis SG. Long-term outcome and quality-adjusted life years after severe sepsis. Crit Care Med. 2009;37(4):1268–1274. doi: 10.1097/CCM.0b013e31819c13ac.
    1. Iwashyna TJ. Trajectories of recovery and dysfunction after acute illness, with implications for clinical trial design. Am J Respir Crit Care Med. 2012;186(4):302–304. doi: 10.1164/rccm.201206-1138ED.
    1. Lone NI, Seretny M, Wild SH, Rowan KM, Murray GD, Walsh TS. Surviving intensive care: a systematic review of healthcare resource use after hospital discharge*. Crit Care Med. 2013;41(8):1832–1843. doi: 10.1097/CCM.0b013e31828a409c.
    1. Busse LW, Nicholson G, Nordyke RJ, Lee CH, Zeng F, Albertson TE. Angiotensin II for the treatment of distributive shock in the intensive care unit: a US cost-effectiveness analysis. Int J Technol Assess Health Care. 2020;36(2):145–151. doi: 10.1017/S0266462320000082.
    1. Linder A, Guh D, Boyd JH, Walley KR, Anis AH, Russell JA. Long-term (10-year) mortality of younger previously healthy patients with severe sepsis/septic shock is worse than that of patients with nonseptic critical illness and of the general population. Crit Care Med. 2014;42(10):2211–2218. doi: 10.1097/CCM.0000000000000503.
    1. Shapiro NI, Howell MD, Talmor D, Donnino M, Ngo L, Bates DW. Mortality in emergency department Sepsis (MEDS) score predicts 1-year mortality. Crit Care Med. 2007;35(1):192–198. doi: 10.1097/01.CCM.0000251508.12555.3E.
    1. Cairns J. Using cost-effectiveness evidence to inform decisions as to which health services to provide. Health Syst Reform. 2016;2(1):32–38. doi: 10.1080/23288604.2015.1124172.
    1. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. doi: 10.1046/j.1525-1497.2001.016009606.x.
    1. Prescott HC, Girard TD. Recovery from severe COVID-19: leveraging the lessons of survival from Sepsis. JAMA. 2020;324(8):739–740. doi: 10.1001/jama.2020.14103.
    1. Haines KJ, McPeake J, Hibbert E, Boehm LM, Aparanji K, Bakhru RN, Bastin AJ, Beesley SJ, Beveridge L, Butcher BW, Drumright K, Eaton TL, Farley T, Firshman P, Fritschle A, Holdsworth C, Hope AA, Johnson A, Kenes MT, Khan BA, Kloos JA, Kross EK, Mactavish P, Meyer J, Montgomery-Yates A, Quasim T, Saft HL, Slack A, Stollings J, Weinhouse G, Whitten J, Netzer G, Hopkins RO, Mikkelsen ME, Iwashyna TJ, Sevin CM. Enablers and barriers to implementing ICU follow-up clinics and peer support groups following critical illness: the thrive Collaboratives. Crit Care Med. 2019;47(9):1194–1200. doi: 10.1097/CCM.0000000000003818.

Source: PubMed

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