Is there a better way to deliver optimal critical care services?

Is there a better way to deliver optimal critical care services?

SECTION 18  Critical Care Resource Use and Management 84 Is There a Better Way to Deliver Optimal Critical Care Services? Ian J. Barbash and Jeremy M...

127KB Sizes 0 Downloads 64 Views

SECTION 18  Critical Care Resource Use and Management

84 Is There a Better Way to Deliver Optimal Critical Care Services? Ian J. Barbash and Jeremy M. Kahn

INTRODUCTION Critical illness is defined by life-threatening organ dysfunction leading to excess morbidity and mortality. While overall mortality in hospitalized patients is less than 5%, more than 10% of patients die after admission to the intensive care unit (ICU).1,2 In the most severe forms of critical illness such as septic shock and acute respiratory distress syndrome, mortality approaches 50%.3,4 In addition to this human toll, critical illness imposes substantial financial costs: annual ICU spending in the United States exceeds US$100 billion and accounts for nearly 15% of hospital costs and almost 1% of the gross domestic product.5 Given our tremendous social and financial investment in critical care, it is imperative that we optimize the organization and management of critical care delivery. For most of their history, ICUs were physically separate from other areas of the hospital but were managed without specific attention to physician staffing patterns or team-based care models. In the 21st century, a growing body of evidence supports specific approaches to optimal ICU organization and management. Simultaneously, in the era of value-based care, there is increasing interest from payers, government agencies, and regulators in implementing strategies that improve the outcomes of critically ill patients while minimizing costs.6–8 These maturing forces—an increasingly robust evidence base and the drive to implement strategies that improve the value of health care—have created an environment in which the tools of evidence-based medicine are essential to optimizing the delivery of ICU services. An evidence-based approach is particularly important because the effectiveness of a given approach to critical care delivery often depends on the local context in which it is implemented—that is, ICU organization and management are not “one size fits all.” This observation parallels the precision medicine movement for patient-level treatments, in which there is increasing recognition that a particular intervention may be more effective for some critically ill patients

than for others.9 For many organizational strategies, there is a mix of studies with “positive” and “negative” results; rather than this representing evidence of ineffectiveness, it is likely that contextual factors render a given organizational strategy more effective in some ICUs than in others.

THE INTERPROFESSIONAL TEAM There is a growing consensus that the key to a high-quality ICU is a collaborative team of individuals from multiple health professions.10 In their most expansive forms, these teams comprise intensive care physicians and advanced practice providers, nurses, respiratory therapists, clinical pharmacists, physical and occupational therapists, speech and language pathologists, dieticians, social workers, case managers, and spiritual support. It is impractical to expect representatives from all of these disciplines to participate directly in daily ICU rounding, and many of these individuals have competing responsibilities beyond the ICU that necessitate communication outside a formal rounding structure. However, compared with isolated physician rounding, some form of interprofessional rounding is associated with reductions in ICU length of stay, medication errors, and mortality.11,12 The best evidence supports, at a minimum, the inclusion of the ICU physician, bedside nurse, and clinical pharmacist in a synchronous discussion on rounds.11 Clearly, engaging respiratory therapists is essential for patients with respiratory failure, for whom protocolized daily spontaneous breathing trials speed liberation from mechanical ventilation.13,14 Depending on local ICU case mix, integrating additional professions into daily bedside rounds may prove beneficial. It seems intuitive that ICU quality depends not only on the physical presence of multiple health professionals but also on how they function together as a team. Well-functioning teams are characterized by role clarity, shared goals, effective information exchange, and collaborative processes for decision making and conflict resolution.15,16 A recent systematic review of interventions to improve team functioning in the 605

606

SECTION 18 

Critical Care Resource Use and Management

ICU found that simulation-based team training can improve team climate.17 Other hospital- and ICU-based interventions addressing teamwork and collective efforts to identify and mitigate errors can improve the climate of safety.18,19 In general, even studies showing a robust effect of interventions on team function did not show a significant impact on patientcentered outcomes. In part, this probably reflects the difficulty in defining and measuring team performance, which is an important area of future research in ICU teamwork, and its impact on patient outcomes.

INTENSIVIST STAFFING MODELS Under the current gold-standard model of the interprofessional ICU team, an intensivist physician provides leadership and directs the overall plan of care.20 This intensivist is typically board-certified with specific subspecialty training in critical care medicine. There are two traditional models under which an ICU can operate: a “closed” unit, in which the intensivist takes direct responsibility for all patients admitted to the ICU; or an “open” unit, in which a nonintensivist primary physician retains responsibility for patients admitted to the ICU and consults an intensivist for co-management for some patients. Early versions of ICU organization guidelines endorsed the closed models as the preferred approach.21 However, a large study in 69 US centers failed to show a difference in outcomes between closed and open ICUs, and current guidelines no longer emphasize that a closed model is paramount.2,20 While there is general agreement that some form of intensivist involvement benefits critically ill patients, several systematic reviews point to a lack of consensus as to the optimal intensity of physician staffing patterns during daylight hours.22–24 Most studies compared “high-intensity” with “low-intensity” physician staffing models: a high-intensity model is a closed ICU or one with mandatory intensivist consultation; a low-intensity model is an open ICU without

intensivists or with elective intensivist consultation. Whereas earlier systematic reviews, including studies from the 1980s and 1990s, indicated a potential mortality benefit to highintensity staffing, data from the most recent decade are less convincing.24,25 Table 84.1 summarizes existing multicenter studies that compared mortality in critically ill patients under high-intensity vs. low-intensity staffing models,25–32 and Table 84.2 provides an overview of the four major staffing models. The fact that high-intensity daytime intensivist physician staffing is not strongly and independently associated with mortality in the modern era may reflect the fact that other aspects of critical care delivery, including interprofessional, team-based care, are more widely available and improve components of quality previously addressed primarily by individual physicians. In addition to the debate regarding high-intensity vs. lowintensity daytime staffing, a recent systematic review suggests that “around-the-clock,” 24-hour in-house intensivist coverage does not improve mortality in most ICUs.33 This review evaluated one randomized controlled trial (RCT) and 17 observational studies; the pooled odds ratio for mortality associated with 24-hour intensivist coverage was 0.99, with a 95% confidence interval (CI) of 0.75–1.29. The single RCT compared in-house intensivist coverage by critical care attendings and fellows to intensivist consultation by phone to in-house residents and nurses.34 In-house nocturnal intensivist coverage did not reduce ICU length of stay (rate ratio for the time to ICU discharge 0.98; 95% CI 0.88–1.09; P 5 .72) or ICU mortality (relative risk 1.07; 95% CI 0.90–1.28). The primary limitation of this study was that it was conducted in a single academic center, and even the control intervention included on-demand consultation with intensivists by phone, constraining its generalizability to other environments. We should not take from these intensivist staffing data a message that intensivists “don’t matter,” but rather that their impact is probably context-dependent. The optimal physician staffing of a small, 8-bed ICU in a rural hospital with few

TABLE 84.1  Summary of Multicenter Cohort Studies on Intensivist Physician Staffing for

Critically Ill Adults. Study

Population

Centers (N)

Patients (N)

Outcome Measure

Risk Estimatea

Pronovost et al., 1999

Abdominal aortic surgery

46

2987

In-hospital mortality

0.33 (0.20–0.52)

Diringer and Edwards, 200127

Intracerebral hemorrhage

42

1038

In-hospital mortality

0.39 (0.22–0.67)

Dimick et al., 200128

Esophageal resection

35

366

In-hospital mortality

0.66 (0.16–2.5)

Nathens et al., 2006

Trauma

68

2599

In-hospital mortality

0.78 (0.58–1.04)

Treggiari et al., 200730

Acute lung injury

23

1,075

In-hospital mortality

0.68 (0.53–0.89)

Levy et al., 200831

All ICU patients

100

101,832

In-hospital mortality

1.40 (NP)

Kim et al., 201232

Severe sepsis

25

251

In-hospital mortality

0.46 (0.22–0.93)

All ICU patients

49

65,752

In-hospital mortality

0.86 (0.65–1.14)

26

29

Costa et al., 2015

25

Adjusted odds ratio or risk ratio comparing patients managed under a high-intensity staffing model to patients managed under a low-intensity staffing model. Definitions of high- and low-intensity staffing models differed among studies; high-intensity staffing typically refers to complete transfer of care to an intensivist or a mandatory consult model. ICU, intensive care unit; NP, not provided. a

CHAPTER 84

TABLE 84.2  Overview of Daytime

Intensivist Staffing Models. High-Intensity Models

Low-Intensity Models

Closed • All patients are seen by an intensivist on daily rounds • Intensivist takes primary responsibility for all aspects of patient care • Other physicians may be involved as consultants

Open, Optional Consult • Nonintensivist physician takes primary responsibility for patient care • Intensivist sees some patients as a consultant at the discretion of the primary physician

Open, Mandatory Consult • All patients are seen by an intensivist on daily rounds • Intensivist shares responsibility for patient care with primary physician • Additional physicians may be involved as consultants

Open, no Intensivist • Nonintensivist physician takes primary responsibility for patient care • There is not an intensivist available for in-person consultation

mechanically ventilated patients is unlikely to mirror that of a 24-bed ICU in a large tertiary referral hospital. In addition, many of the mechanisms by which intensivists improved outcomes in the past may be less important in the modern age of highly functional, interprofessional ICU teams using standardized protocols to deliver evidence-based critical care. Indeed, even ICUs with dedicated intensivists can fail to comply with evidence-based practices.4 The shortage of intensivists and physicians in general35 along with the relatively high costs of physician salaries present barriers to universal adoption of high-intensity care models; given the existing evidence, some hospitals and ICUs might reasonably apply models of care other than one involving high-intensity daytime intensivist coverage with an in-house nocturnal intensivist.

ADVANCED PRACTICE PROVIDERS In light of the debate surrounding the effectiveness and practicality of universal intensivist physician staffing, there is increasing interest in the role of advanced practice providers such as nurse practitioners (NPs) and physician assistants (PAs) in critical care.36 The most recent systematic review on this topic is over a decade old; the included studies generally showed that inclusion of advanced practice providers in critical care teams was well-received by team members and associated with equivalent or somewhat improved processes of care and outcomes.37 In recent years, as more hospitals and ICUs have adopted advanced practice providers, several studies have confirmed that, in critical care environments, they achieve outcomes that are at least equivalent to those under alternative care models.38,39 In addition, a number of studies suggest that including advanced practice providers in ICU teams can improve the experience of resident and fellow

607

critical care trainees, perhaps by mitigating physician trainee workload.40,41 With increasing numbers of advanced practice providers entering the ICU workforce, the question is not whether to incorporate them into ICU care models, but how to do so in ways that optimize team function as well as patient and financial outcomes.

PROTOCOLIZATION AND DECISION SUPPORT Many decisions in medicine depend upon the judgment of clinicians, which is tailored to individual patients, but an increasing number of evidence-based practices lend themselves to standardization and protocolization for nearuniversal application. Several archetypal best practices relevant to the ICU are daily spontaneous breathing trials paired with daily interruption of sedation to facilitate liberation from mechanical ventilation in ICU patients.13,42 Importantly, the studies establishing the efficacy of these practices have employed standardized protocols driven by respiratory therapists and bedside nurses. In the years since these initial studies, systematic reviews of numerous other studies have confirmed that standardized, protocolbased approaches to sedation management and ventilator weaning improve patient outcomes by improving adherence to best practices.43,44 A 2008 survey of ICU directors in 90 academic medical centers confirmed that these protocols are common, with 86% of ICUs using respiratory therapist-driven ventilator weaning protocols and 73% using nurse-driven sedation protocols. Other protocols addressed lung-protective ventilation,45 early sepsis resuscitation, and postoperative glucose control.46–47 Rounding checklists can theoretically synergize with these protocols by helping ICU teams set shared goals, identify opportunities to improve adherence with evidence-based practices, and improve efficiency.48,49 ICU teams prefer checklists that are shorter, clinically relevant, and integrate seamlessly into rounding workflow.49 The evidence supporting the impact of checklists on care processes and outcomes is generally weak.50 A recent landmark cluster-randomized clinical trial evaluated the effect of a multicomponent intervention that included rounding checklists, goal setting, and clinician prompts in more than 100 Brazilian ICUs.51 This study showed that the intervention did improve several relevant care processes, including sedation practices, central venous catheter utilization, and lung-protective ventilation, although the magnitude of the changes was relatively small. There were no significant differences in any patient-centered clinical outcomes between the intervention and control arms. Future work will need to better define the contexts in which ICU checklists are most likely to be beneficial. As more hospitals adopt electronic health records (EHRs), automated clinical decision support systems (CDSS) operating within the EHR are an increasingly feasible approach to preventing errors and standardizing the delivery of accepted evidence-based practices. Existing CDSS based on relatively straightforward decision rules may reduce medication errors, improve compliance with blood transfusion guidelines, and

608

SECTION 18 

Critical Care Resource Use and Management

increase rates of prophylaxis for venous thromboembolism.52–55 The future of CDSS in the ICU will include machine learning techniques employing more complex algorithms to identify deteriorating patients and gaps in evidence-based care, facilitating earlier interventions. However, clinical applications of machine learning in the ICU are currently limited by compartmentalization of data across platforms, issues with data precision and accuracy, and challenges in applying statistical models to the complex and dynamic conditions of critical illness.56 Ultimately, in order to add value to the clinical environment, CDSS must provide timely, actionable, and novel information to ICU teams without an excessive falsenegative rate that contributes to alarm fatigue.

QUALITY MEASUREMENT AND IMPROVEMENT As more hospitals adopt and refine their EHRs, ICUs directors have increasing access to timely, granular data on patient treatment processes and outcomes; these data can facilitate quality measurement and process improvement activities. Multiple critical care professional societies endorse the importance of developing and using both process- and outcome-based measures at multiple levels within the heath system, including in the ICU.20,57 Measurement alone, however, does not drive improvement—the measures must be tied to specific strategies to implement changes that improve processes and outcomes. Traditional approaches generally link evidence-based protocols with educational initiatives, performance measurement, and feedback of these results to spur behavior change in low performers. These resourceintensive strategies can be difficult to implement and sustain, and the effects are often modest.58 A complementary approach, known as pay for performance, links quality measurement to physician payment, although existing data suggest that pay for performance is associated with marginal improvements in treatment or outcomes for patients in the hospital and ICU.59,60 Thus, while the increasing availability of electronic data may facilitate quality measurement, the process of changing behavior in ways that improves patient care and outcomes remains a challenge.

REGIONALIZATION Regionalization is a system-wide approach to critical care organization and management by which selected patients are systematically transferred to regional referral centers.61,62 Regionalization leverages the observation that hospitals caring for higher case volumes have better patient outcomes in a variety of conditions, including sepsis,63,64 acute respiratory failure requiring mechanical ventilation,65,66 and acute myocardial infarction.67 However, the benefits of widespread regionalization of critical care services are largely theoretical,66,68 and need to be balanced against the potential harms, including delays in the early management of time-sensitive conditions69 and overwhelming the capacity available at tertiary facilities. New evidence also suggests that a regionalized

approach may help some critically ill patients but not others,70,71 again highlighting the fact that the benefits of a particular ICU organizational strategy are probably contextual, and varying, based on local and regional case mix and other patient and hospital factors.

ICU TELEMEDICINE In areas without local access to intensivist physicians, telemedicine is an approach that may bring the benefits of intensivist involvement in patient care without physically transferring patients to regional referral centers.68 Multiple models of ICU telemedicine exist, ranging from continuous multibed monitoring of an entire ICU to more selective monitoring and/or on-demand consultation.72 Studies of the impact of ICU telemedicine are largely limited by a before-and-after design, and systematic reviews indicate inconsistent effects on patient-centered outcomes despite substantial up-front financial investments.73–77 The largest national study of telemedicine adoption compared 132 hospitals that adopted ICU telemedicine programs to 389 similar control hospitals that did not adopt ICU telemedicine programs.75 In the overall comparison, ICU telemedicine adoption was associated with a small reduction in mortality among ICU admissions (relative risk 0.96; 95% CI 0.95–0.98), although there was dramatic heterogeneity, and only 16 individual hospitals experienced a statistically significant drop in mortality following ICU telemedicine adoption. This heterogeneity in effectiveness is probably due to a number of barriers and facilitators to telemedicine adoption, which are variably present across institutions and telemedicine programs.78

FUTURE DIRECTIONS We have come a long way from a system that simply centralized critically ill patients in a single location within a hospital to one that emphasizes team-based, interprofessional care. ICU directors must consider a number of variables that may affect patient outcomes, including the nature of intensivist staffing, the use of advanced practice providers, protocolization and decision support, quality measurement, regionalization, and ICU telemedicine. We are increasingly understanding that the impact of any one of these organizational strategies depends not on whether but how we use them, and the context in which we do so. Future research should seek to refine existing organizational strategies and better understand the contextual factors that mediate their success or failure in reference to important patient-centered outcomes. AUTHORS’ RECOMMENDATIONS • Interprofessional, team-based care is consistently associated with improved patient outcomes and is the goldstandard model of ICU medicine. • Intensivist physician staffing may benefit many critically ill patients, although there are probably contexts in which intensivist involvement does not improve mortality.

CHAPTER 84

• Complementary care models may bring some of the benefits of intensivist staffing and can help overcome barriers related to physician shortages and the direct financial costs of full-time intensivist staffing. These complementary care models include: • using advanced practice providers to increase the efficiency of intensivist leadership • protocolization and decision support systems to increase the consistent application of evidence-based practices • quality measurement to identify opportunities for improvement and monitor progress of improvement efforts • regionalization of critical care services to match patient severity of illness to the level of care needed • ICU telemedicine to expand the reach of intensivist expertise to locations where intensivists are not physically present. • The impact of these complementary care models probably depends on local context; patient, provider, and financial implications should be evaluated prior to and following the process of implementing a new organizational strategy in an ICU.

REFERENCES 1. Liu V, Escobar GJ, Greene JD, et al. Hospital deaths in patients with sepsis from 2 independent cohorts. JAMA. 2014;312: 90-92. 2. Checkley W, Martin GS, Brown SM, et al. Structure, process, and annual ICU mortality across 69 centers: United States Critical Illness and Injury Trials Group Critical Illness Outcomes Study. Crit Care Med. 2014;42:344-356. 3. Seymour CW, Liu VX, Iwashyna TJ, et al. Assessment of clinical criteria for sepsis. JAMA. 2016;315:762. 4. Bellani G, Laffey JG, Pham T, et al. Epidemiology, patterns of care, and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries. JAMA. 2016;315:788-800. 5. Halpern NA, Goldman DA, Tan KS, Pastores SM. Trends in critical care beds and use among population groups and Medicare and Medicaid beneficiaries in the United States: 20002010. Crit Care Med. 2016;44:1490-1499. 6. Costa DK, Kahn JM. Organizing critical care for the 21st century. JAMA. 2016;315:751. 7. Angus DC, Shorr AF, White A, Dremsizov TT, Schmitz RJ, Kelley MA. Critical care delivery in the United States: distribution of services and compliance with Leapfrog recommendations. Crit Care Med. 2006;34:1016-1024 8. Hershey TB, Kahn JM. State sepsis mandates—a new era for regulation of hospital quality. N Engl J Med. 2017;376(24): 2311-2313. 9. Iwashyna TJ, Burke JF, Sussman JB, Prescott HC, Hayward RA, Angus DC. Implications of heterogeneity of treatment effect for reporting & analysis of randomized trials in critical care. Am J Respir Crit Care Med. 2015;192(9):1045-1051. 10. Donovan AL, Aldrich JM, Gross AK, et al. Interprofessional care and teamwork in the ICU. Crit Care Med. 2018;46:980-990. 11. Lane D, Ferri M, Lemaire J, McLaughlin K, Stelfox HT. A systematic review of evidence-informed practices for patient care rounds in the ICU. Crit Care Med. 2013;41:2015-2029.

609

12. Kim MM, Barnato AE, Angus DC, Fleisher LA, Kahn JM. The effect of multidisciplinary care teams on intensive care unit mortality. Arch Intern Med. 2010;170:369-376. 13. Esteban A, Frutos F, Tobin MJ, et al. A comparison of four methods of weaning patients from mechanical ventilation. N Engl J Med. 1995;332:345-350. 14. Robertson TE, Sona C, Schallom L, et al. Improved extubation rates and earlier liberation from mechanical ventilation with implementation of a daily spontaneous-breathing trial protocol. J Am Coll Surg. 2008;206:489-495. 15. Reader TW, Flin R, Mearns K, Cuthbertson BH. Developing a team performance framework for the intensive care unit. Crit Care Med. 2009;37:1787-1793. 16. Ervin JN, Kahn JM, Cohen TR, Weingart LR. Teamwork in the intensive care unit. Am Psychol. 2018;73:468-477. 17. Dietz AS, Pronovost PJ, Mendez-Tellez PA, et al. A systematic review of teamwork in the intensive care unit: What do we know about teamwork, team tasks, and improvement strategies? J Crit Care. 2014;29:908-914. 18. Sexton JB, Berenholtz SM, Goeschel CA, et al. Assessing and improving safety climate in a large cohort of intensive care units. Crit Care Med. 2011;39:934-939. 19. Weaver SJ, Lubomksi LH, Wilson RF, Pfoh ER, Martinez KA, Dy SM. Promoting a culture of safety as a patient safety strategy. Ann Intern Med. 2013;158:369. 20. Weled BJ, Adzhigirey LA, Hodgman TM, et al. Critical care delivery: the importance of process of care and ICU structure to improved outcomes: an update from the American College of Critical Care Medicine Task Force on Models of Critical Care. Crit Care Med. 2015;43:1520-1525. 21. Brilli RJ, Spevetz A, Branson RD, et al. Critical care delivery in the intensive care unit: defining clinical roles and the best practice model. Crit Care Med. 2001;29:2007-2019. 22. Young MP, Birkmeyer JD. Potential reduction in mortality rates using an intensivist model to manage intensive care units. Eff Clin Pract. 2000;3:284-289. 23. Pronovost PJ, Angus DC, Dorman T, Robinson KA, Dremsizov TT, Young TL. Physician staffing patterns and clinical outcomes in critically ill patients: a systematic review. JAMA. 2002;288: 2151-2162. 24. Wilcox ME, Chong CA, Niven DJ, et al. Do intensivist staffing patterns influence hospital mortality following ICU admission? A systematic review and meta-analyses. Crit Care Med. 2013;41:2253-2274. 25. Costa DK, Wallace DJ, Kahn JM. The association between daytime intensivist physician staffing and mortality in the context of other ICU organizational practices. Crit Care Med. 2015;43: 2275-2282. 26. Pronovost PJ, Jenckes MW, Dorman T, et al. Organizational characteristics of intensive care units related to outcomes of abdominal aortic surgery. JAMA. 1999;281:1310-1317. 27. Diringer MN, Edwards DF. Admission to a neurologic/neurosurgical intensive care unit is associated with reduced mortality rate after intracerebral hemorrhage. Crit Care Med. 2001; 29:635-640. 28. Dimick JB, Pronovost PJ, Heitmiller RF, Lipsett PA. Intensive care unit physician staffing is associated with decreased length of stay, hospital cost, and complications after esophageal resection. Crit Care Med. 2001;29:753-758. 29. Nathens AB, Rivara FP, MacKenzie EJ, et al. The impact of an intensivist-model ICU on trauma-related mortality. Ann Surg. 2006;244:545-554.

610

SECTION 18 

Critical Care Resource Use and Management

30. Treggiari MM, Martin DP, Yanez ND, Caldwell E, Hudson LD, Rubenfeld GD. Effect of intensive care unit organizational model and structure on outcomes in patients with acute lung injury. Am J Respir Crit Care Med. 2007;176:685-690. 31. Levy MM, Rapoport J, Lemeshow S, Chalfin DB, Phillips G, Danis M. Association between critical care physician management and patient mortality in the intensive care unit. Ann Intern Med. 2008;148:801-809. 32. Kim JH, Hong SK, Kim KC, et al. Influence of full-time intensivist and the nurse-to-patient ratio on the implementation of severe sepsis bundles in Korean intensive care units. J Crit Care. 2012;27:414.e11-414.e21. 33. Kerlin MP, Adhikari NKJ, Rose L, et al. An official American Thoracic Society Systematic Review: the effect of nighttime intensivist staffing on mortality and length of stay among intensive care unit patients. Am J Respir Crit Care Med. 2017;195: 383-393. 34. Kerlin MP, Small DS, Cooney E, et al. A randomized trial of nighttime physician staffing in an intensive care unit. N Engl J Med. 2013;368:2201-2209. 35. Halpern NA, Pastores SM, Oropello JM, Kvetan V. Critical care medicine in the United States: addressing the intensivist shortage and image of the specialty. Crit Care Med. 2013;41: 2754-2761. 36. Hoffman LA, Guttendorf J. Preparation and evolving role of the acute care nurse practitioner. Chest. 2017;152:1339-1345. 37. Kleinpell RM, Ely EW, Grabenkort R. Nurse practitioners and physician assistants in the intensive care unit: an evidencebased review. Crit Care Med. 2008;36:2888-2897. 38. Landsperger JS, Semler MW, Wang L, Byrne DW, Wheeler AP. Outcomes of nurse practitioner-delivered critical care. Chest. 2016;149:1146-1154. 39. Scherzer R, Dennis MP, Swan BA, Kavuru MS, Oxman DA. A comparison of usage and outcomes between nurse practitioner and resident-staffed medical ICUs. Crit Care Med. 2017;45:e132-e137. 40. Joffe AM, Pastores SM, Maerz LL, Mathur P, Lisco SJ. Utilization and impact on fellowship training of non-physician advanced practice providers in intensive care units of academic medical centers: a survey of critical care program directors. J Crit Care. 2014;29:112-115. 41. Kahn SA, Davis SA, Banes CT, Dennis BM, May AK, Gunter OD. Impact of advanced practice providers (nurse practitioners and physician assistants) on surgical residents’ critical care experience. J Surg Res. 2015;199:7-12. 42. Girard TD, Kress JP, Fuchs BD, et al. Efficacy and safety of a paired sedation and ventilator weaning protocol for mechanically ventilated patients in intensive care (Awakening and Breathing Controlled trial): a randomised controlled trial. Lancet. 2008;371:126-134. 43. Jackson DL, Proudfoot CW, Cann KF, Walsh T. A systematic review of the impact of sedation practice in the ICU on resource use, costs and patient safety. Crit Care. 2010; 14:R59. 44. Blackwood B, Burns KEA, Cardwell CR, O’Halloran P. Protocolized versus non-protocolized weaning for reducing the duration of mechanical ventilation in critically ill adult patients. Cochrane Database Syst Rev. 2014;(11):CD006904. 45. Prasad M, Christie JD, Bellamy SL, Rubenfeld GD, Kahn JM. The availability of clinical protocols in US teaching intensive care units. J Crit Care. 2010;25(4):610–619.

46. Rivers E, Nguyen B, Havstad S, et al. Early goal-directed therapy in the treatment of severe sepsis and septic shock. N Engl J Med. 2001;345:1368-1377. 47. Van den Berghe G, Wouters P, Weekers F, et al. Intensive insulin therapy in critically ill patients. N Engl J Med. 2001;345: 1359-1367. 48. Centofanti JE, Duan EH, Hoad NC, et al. Use of a daily goals checklist for morning ICU rounds. Crit Care Med. 2014;42: 1797-1803. 49. Hallam BD, Kuza CC, Rak K, et al. Perceptions of rounding checklists in the intensive care unit: a qualitative study. BMJ Qual Saf. 2018;27(10):836-843 . 50. Ko HCH, Turner TJ, Finnigan MA. Systematic review of safety checklists for use by medical care teams in acute hospital settings—limited evidence of effectiveness. BMC Health Serv Res. 2011;11:211. 51. Cavalcanti AB, Bozza FA, Machado FR, et al. Effect of a quality improvement intervention with daily round checklists, goal setting, and clinician prompting on mortality of critically ill patients. JAMA. 2016;315:1480. 52. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety. Arch Intern Med. 2003;163:1409. 53. Prgomet M, Li L, Niazkhani Z, Georgiou A, Westbrook JI. Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis. J Am Med Informatics Assoc. 2017;24(2):413-422. 54. Hibbs SP, Nielsen ND, Brunskill S, et al. The impact of electronic decision support on transfusion practice: a systematic review. Transfus Med Rev. 2015;29:14-23. 55. Borab ZM, Lanni MA, Tecce MG, Pannucci CJ, Fischer JP. Use of computerized clinical decision support systems to prevent venous thromboembolism in surgical patients: a systematic review and meta-analysis. JAMA Surg. 2017;152:638-645. 56. Johnson AEW, Ghassemi MM, Nemati S, Niehaus KE, Clifton DA, Clifford GD. Machine learning and decision support in critical care. Proc IEEE Inst Electr Electron Eng. 2016;104: 444-466. 57. Kahn JM, Gould MK, Krishnan JA, et al. An official American Thoracic Society workshop report: developing performance measures from clinical practice guidelines. Ann Am Thorac Soc. 2014;11:S186-S195. 58. Sinuff T, Muscedere J, Adhikari NKJ, et al. Knowledge translation interventions for critically ill patients: a systematic review. Crit Care Med. 2013;41:2627-2640. 59. Mendelson A, Kondo K, Damberg C, et al. The effects of payfor-performance programs on health, health care use, and processes of care: a systematic review. Ann Intern Med. 2017;166: 341-353. 60. Barbash IJ, Pike F, Gunn SR, Seymour CW, Kahn JM. Effects of physician-targeted pay for performance on use of spontaneous breathing trials in mechanically ventilated patients. Am J Respir Crit Care Med. 2017;196:56-63. 61. Thompson DR, Clemmer TP, Applefeld JJ, et al. Regionalization of critical care medicine: task force report of the American College of Critical Care Medicine. Crit Care Med. 1994;22: 1306-1313. 62. Kahn JM, Branas CC, Schwab CW, Asch DA. Regionalization of medical critical care: What can we learn from the trauma experience? Crit Care Med. 2008;36:3085-3088.

CHAPTER 84 63. Walkey AJ, Wiener RS. Hospital case volume and outcomes among patients hospitalized with severe sepsis. Am J Respir Crit Care Med. 2014;189:548-555. 64. Gaieski DF, Edwards JM, Kallan MJ, Mikkelsen ME, Goyal M, Carr BG. The relationship between hospital volume and mortality in severe sepsis. Am J Respir Crit Care Med. 2014;190:665-674. 65. Kahn JM, Goss CH, Heagerty PJ, Kramer AA, O’Brien CR, Rubenfeld GD. Hospital volume and the outcomes of mechanical ventilation. N Engl J Med. 2006;355:41-50. 66. Kahn JM, Linde-Zwirble WT, Wunsch H, et al. Potential value of regionalized intensive care for mechanically ventilated medical patients. Am J Respir Crit Care Med. 2008;177:285-291. 67. Ross JS, Normand SLT, Wang Y, et al. Hospital volume and 30-day mortality for three common medical conditions. N Engl J Med. 2010;362:1110-1118. 68. Nguyen YL, Kahn JM, Angus DC. Reorganizing adult critical care delivery. Am J Respir Crit Care Med. 2010;181:1164-1169. 69. Faine BA, Noack JM, Wong T, et al. Interhospital transfer delays appropriate treatment for patients with severe sepsis and septic shock: a retrospective cohort study. Crit Care Med. 2015;43:2589-2596. 70. Ofoma UR, Dahdah J, Kethireddy S, Maeng D, Walkey AJ. Case volume–outcomes associations among patients with severe sepsis who underwent interhospital transfer. Crit Care Med. 2017;45:615-622.

611

71. Greenberg JA, Hohmann SF, James BD, et al. Hospital volume of immunosuppressed sepsis patients and sepsis mortality. Ann Am Thorac Soc. 2018;15(8):962-969. 72. Kahn JM, Hill NS, Lilly CM, et al. The research agenda in ICU telemedicine: a statement from the Critical Care Societies Collaborative. Chest. 2011;140:230-238. 73. Morrison JL, Cai Q, Davis N, et al. Clinical and economic outcomes of the electronic intensive care unit: results from two community hospitals. Crit Care Med. 2010;38:2-8. 74. Young LB, Chan PS, Lu X, Nallamothu BK, Sasson C, Cram PM. Impact of telemedicine intensive care unit coverage on patient outcomes: a systematic review and meta-analysis. Arch Intern Med. 2011;171:498-506. 75. Kahn JM, Le TQ, Barnato AE, et al. ICU telemedicine and critical care mortality. Med Care. 2016;54:319-325. 76. Kumar G, Falk DM, Bonello RS, Kahn JM, Perencevich E, Cram P. The costs of critical care telemedicine programs. Chest. 2013; 143:19-29. 77. Chen J, Sun D, Yang W, et al. Clinical and economic outcomes of telemedicine programs in the intensive care unit: a systematic review and meta-analysis. J Intensive Care Med. 2018;33: 383-393. 78. Ray KN, Felmet KA, Hamilton MF, et al. Clinician attitudes toward adoption of pediatric emergency telemedicine in rural hospitals. Pediatr Emerg Care. 2017;33:250-257.

e1 Abstract: Critical illness imposes substantial physical, emotional, and societal costs across the globe. It is therefore imperative that we optimize the organization and management of critical care delivery, in order to maximize the benefits and value of critical care services. A growing body of evidence supports several strategies that may improve critical care delivery. A coordinated interprofessional team is central to any effort to improve outcomes for critically ill patients and their families. Under the gold-standard model of the interprofessional intensive care unit (ICU) team, an intensivist physician provides leadership and overall responsibility for care delivery. Advanced practice providers, including physician assistants and acute care nurse practitioners, have a growing presence on ICU teams and may help increase the efficiency of intensivist oversight of critically ill patients. Clinical protocols and decision support systems can augment individual

decision making to increase compliance with key evidencebased practices. Quality measurement programs, linked with quality improvement processes, are critical to identifying and closing gaps in care delivery. A tiered, regionalized approach to critical care delivery might help match patients to an appropriate level of care without requiring all hospitals to adopt the same practices as referral centers that deliver resourceintensive treatment. ICU telemedicine programs extend the expertise of intensivist physicians to patients without physical access to an on-site intensivist. The impact of these complementary care models probably depends on local context; patient, provider, and financial implications should be evaluated prior to and following the process of implementing a new organizational strategy in an ICU. Keywords: intensive care, critical care, outcomes, health-care delivery, organization and management