Variation in ICU Care: Physician Practice Patterns. Allan Garland, MD, MA Professor of Medicine & Community Health Sciences University of Manitoba

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Transcription:

Variation in ICU Care: Physician Practice Patterns Allan Garland, MD, MA Professor of Medicine & Community Health Sciences University of Manitoba

No Conflicts to Report

Variation in Health Care There is a very extensive literature on this topic LARGE variation, not due to patient or illness characteristics, in every medical setting in which it has been assessed: outpatient, general inpatient, ICU Differences by: geographic region, hospital, payer system, physician specialty, individual physician, other factors Variation has been shown in clinical outcomes, treatments, resource use, end-of-life care Strong evidence that suboptimal care is common -- we can t all be doing it differently, & all be doing it equally well

Variation in ICU Structure/Organization Large differences by country in ICU beds/capita (CCM 36:2787,2008) Variation in who does what in ICUs (e.g. nurses: Audit Commission for Local Auth. & NHS in England & Wales, 1999) Many hospitals have MET teams, many don t Large variation among U.S. ICUs in intensivist staffing (weekdays, weekends, nights) (CCM 34:1016,2006) Large variation among ICUs in the number and scope of practice guidelines If you ve seen one ICU, you ve seen one ICU

Variation in ICU Care and Outcomes Variation in care odds ratio for use of PAC in 34 U.S. ICUs varied 220-480% by how the ICUs were organized and staffed (JAMA 283:2559,2000) dopamine for septic shock varied 15-fold (3-45%) between European countries (CCM 34:589,2006) % of MV pts with indwelling arterial catheters varied 30-72% (Anesthesiology 120:650,2014) substantial variation in care given at EOL (AJRCCM 158:1163,1998; Lancet 357:9,2001; JAMA-IM 175:1019,2015) Variation in risk adjusted: LOS (Ann Int Med 118:753,1993; CCM 35:836,2007; J Pediatr 128:35,1996), mortality (Ann Int Med 118:753,1993; Audit Commission for Local Auth. & NHS in England & Wales,1999) regardless of risk-adjustment system used (Chest 133:1319,2008)

Transition. Since medical decisions and outcomes ultimately come down to individual physicians caring for individual patients, the large-scale variation (between countries, regions, hospitals, ICUs, etc.) must be a reflection of an agglomeration of variation on the small-scale Segue practice variation between individual physicians

ICU Variation Related to Individual Attendings (AJRCCM 174:1206,2006) Prospective study, 2002-2005, in Medical ICU of a 13 bed, public teaching hospital in Cleveland, Ohio 9 different intensivists doing 14 day blocks of coverage Multivariable models of daily discretionary ICU costs, LOS, mortality intensivist identity included as fixed effects adjusted for: age, race, gender, comorbidity, ICU admit source, DNR prior to ICU, type of acute illness, AP2APS, GCS, ±MV, ICU census & #admissions Only patients with 1 intensivist for the entire ICU stay

ICU Variation Related to Individual Attendings Discretionary daily ICU costs average = $1,084 ± 1,235 after adjusting, variation was 42% across the intensivists (p<.001) NS variation across intensivists of mortality or LOS (in ICU or hospital) spending did not generate better outcomes Furthermore -- those who ordered more, tended to do so in all subcategories of discretionary costs pharmacy, imaging, interventional radiology, laboratories, blood bank, echocardiography these ordering/spending patterns appear to represent consistent individual styles of practice

Predictive Power of the Variables

More Variation In Physician Practice 15-fold difference between individual intensivists, in that same MICU, in tendency to write orders in ICU to withhold or withdraw life support (J Palliative Med 10:1298,2007) Significant physician-level variation in use of Choosing Wisely non-recommended oncology practices (JAMA-IM 176:154,2016) All these findings imply that physicians have ingrained practice styles (behavioral practice patterns) Jeremy Grimshaw (J Cont Educ Hlth Prof 22:237,2002) Further research is required to explore determinants of provider behavior to better identify modifiable and nonmodifiable effect modifiers

Addressing Undesirable Variation in Care The modern paradigm (QI, OI, TQM) is process- and systembased approach -- but as far into the future as we re realistically able to see, individual practitioners will continue to play a large role (Chest 127:2151 & 2165,2005) Changing physician practice is very hard to do Changing Physicians' Practices NEJM 329:1271,1993 Changing Physician Behavior Is Harder Than We Thought JAMA 316:21,2016 limited effect of disseminating Choosing Wisely lists (JAMA-IM, 175:1913,2015) or evidence-based guidelines (Ann Int Med 133:317,2000) pay-for-performance also has a mixed track record (Hlth Policy, epub, 2016; Hlth Policy 110:115,2013) all this indicates that practice styles are more hard-wired than just education and money can influence

Origin of Physicians Practice Patterns? Hypothesis#1: Physicians personality traits and training are important determinants of their practice patterns Clinical practice patterns are behaviors -- influence of personality traits would explain why it s so difficult to change these patterns Training has been shown to play a role, but that influence wanes with time from graduation (JAMA 312:2385,2014) Hypothesis#2: One influential personality trait is Tolerance of Uncertainty 1 st discussed in medicine by sociologist Renee Fox (1957) -- observed that physicians cope with uncertainty by strategies that include magical thinking, repeatedly telling stories of success as myths of enterprise, and trying out new things on a hunch

Tolerance of Uncertainty in Medicine Relatively little work has been done on it Several survey instruments have been developed to measure it -- including 2 that are physician specific (Motiv Emot 19:175,1995; JGIM 10:557,1995) Stress from uncertainty higher in women doctors, fewer years in practice, generalists (Am J Sociol 97:1022,1992) Averion to uncertainty among final year medical students (Med Educ 28:316,1994) varied by specialty: highest in surgery, anesthesia, radiology; lowest in internal medicine, family medicine, psychiatry higher in those who had greater reliance on high-tech medicine

Tolerance of Uncertainty in Medicine In his 1984 book The Silent World of Doctor and Patient, Katz argued that doctors commonly respond to medical uncertainty by ordering more tests ED docs with more stress from uncertainty order more diagnostic abdominal CTs and admit more patients to hospital (Am J Emerg Med 27:552,2009 & 28:771,2010) Primary care docs with lower risk tolerance more often refer to subspecialists, prescribe antibiotics, and generate higher care costs (Med Decis Making 18:320,1998; Br J Gen Practice 40:134,1990)

Other Personality Trait Differences Common construct in psychology of basic personality traits is represented by The Big Five Inventory : Neuroticism, Extraversion, Openness, Agreeableness, Conscientiousness Surgeons, c/w internists, have (J Surg Res 196:60,2015) significantly higher Conscientiousness and Extraversion significantly lower Agreeableness Some correlations were found, in German GPs, between the Big Five traits and Tolerance of Uncertainty (PLoS ONE 9(7):e102780,2014)

Study Underway ICUs in 9 centers in US and Canada Surveys of intensivists -- demographics, training, instruments to assess Tolerance of Uncertainty and The Big Five Inventory Measure of clinical practice style = # of diagnostic radiology and laboratory tests performed (from ICU databases) Analysis: multivariable, mixed effects Poisson model ICU LOS as offset variable adjusted for patient and illness characteristics, ICU characteristics clustering of patients within intensivists within ICUs -- variance component of intensivist-level effect indicates magnitude of interindividual differences in practice style

Potential Implications If physicians practice patterns result (at least in part) from personality traits altering these behaviors may be amenable to strategies based on behavior modification 2x2x2 factorial study of 3 approaches to reducing nonindicated use of Abx in hospital practice (JAMA 315:562,2016) EMR reminders did not work, 2 behavior mod. approaches did Accountable justification = justification text required in the EMR, where others could see it, and if omitted, listed as none given Peer comparison, with (limited) quarterly announcement of results

Summary Medical practice, including in ICU, suffers from substantial, ubiquitous, undesirable variation not explained by patient or illness characteristics Differences in practice patterns of individual physicians contributes substantially to this variation Physician practice patterns are behaviors -- which are very difficult to change, possibly because they are related to personality traits Given the (at most) modest success with current approaches to changing physicians behavior, other, psychology-driven, approaches may be helpful, and require more study