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Reducing Health Care Variations: Improving Patient Decisions - Prof. Rodríguez-Mora, Apuntes de Administración de Empresas

The prevalence of unwarranted variations in u.s. Health care, focusing on medical errors, underuse of effective care, and geographic disparities. It highlights the importance of improving patient decision making to reduce practice variations and costs. Several strategies are proposed, including shared decision making, clinical trials, and the use of decision aids.

Tipo: Apuntes

2013/2014

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Perspective
Practice Variations And Health Care Reform:
Connecting The Dots
A focus on medical error is preventing sufficient focus on improving
the quality of patient decision making to reduce practice variations
(and costs) in today’s health care system.
by John E. Wennberg
ABSTRACT: Unwarranted variation is a ubiquitous feature of U.S. health care. Remedies
for variations exist, and several are described in the current collection of Health Affairs pa-
pers. Several obstacles stand in the way of widespread adoption of these remedies: (1) a
quality agenda that has yet to focus on improving the quality of patient decision making; (2)
economic incentives that do not reward exemplary practice; and (3) the poor state of clini-
cal science. Medicare reform legislation creates the opportunity for a demonstration pro-
ject to redesign health care to address these barriers. We also must grapple with the cul-
tural bias that more care is better and that physicians must know best.
Several papers in this Health Affairs
collection show once again that unwar-
ranted variation—variation not ex-
plained by illness, patient preference, or the
dictates of evidence-based medicine—is a
ubiquitous feature of U.S. health care.1As
shown in several of these papers, health care
systems fail to provide in full measure such
simple life-saving, morbidity-sparing inter-
ventions as immunizations, diabetic glucose
monitoring, and the use of drugs for those
with heart attacks. Every region and every
state exhibits underuse of effective care, some
more so than others.2James Weinstein and
his colleagues provide further evidence that
the incidence of discretionary surgery, the use
of which should depend on patient prefer-
ence, is unduly influenced by local physician
opinion, which has resulted in striking long-
term variation in the risk of surgery among lo-
cal regions—the “surgical signature” phe-
nomenon.3Elliott Fisher and his colleagues
show that among the chronically ill, the fre-
quency of physician visits, diagnostic testing,
and hospitalization and the chances of being
admitted to an intensive care unit (ICU) de-
pend largely on where patients live and the
health care system they routinely use, inde-
pendent of the illness they have or its sever-
ity.4Katherine Baicker and her colleagues
show that variation affects minority groups
as it does white Americans, which clouds the
interpretation of racial and ethnic disparities
based on national average rates.5
While noting that the U.S. supply of physi-
cians grew remarkably over the past twenty
years, David Goodman shows that growth in
aggregate supply does not “cure” variations: In
1999 the per capita supply of generalist physi-
cians varied more than twofold and that of
medical specialists more than fivefold among
regions.6I and my colleagues document that
Perspectives
VAR-140 7 October 2004
DOI 10.1377/hlthaff.var.140 ©2004 Project HOPE–The People-to-People Health Foundation, Inc.
John Wennberg ([email protected]) directsthe Center for the Evaluative Clinical Sciences at
Dartmouth Medical Schoolin Hanover, New Hampshire.
pf3
pf4
pf5

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P e r s p e c t i v e

Practice Variations And Health Care Reform:

Connecting The Dots

A focus on medical error is preventing sufficient focus on improving

the quality of patient decision making to reduce practice variations

(and costs) in today’s health care system.

by John E. Wennberg

ABSTRACT: Unwarranted variation is a ubiquitous feature of U.S. health care. Remedies

for variations exist, and several are described in the current collection of Health Affairs pa-

pers. Several obstacles stand in the way of widespread adoption of these remedies: (1) a

quality agenda that has yet to focus on improving the quality of patient decision making; (2)

economic incentives that do not reward exemplary practice; and (3) the poor state of clini-

cal science. Medicare reform legislation creates the opportunity for a demonstration pro-

ject to redesign health care to address these barriers. We also must grapple with the cul-

tural bias that more care is better and that physicians must know best.

S

e v e r a l pa p e r s in this Health Affairs collection show once again that unwar- ranted variation—variation not ex- plained by illness, patient preference, or the dictates of evidence-based medicine—is a ubiquitous feature of U.S. health care. 1 As shown in several of these papers, health care systems fail to provide in full measure such simple life-saving, morbidity-sparing inter- ventions as immunizations, diabetic glucose monitoring, and the use of drugs for those with heart attacks. Every region and every state exhibits underuse of effective care, some more so than others. 2 James Weinstein and his colleagues provide further evidence that the incidence of discretionary surgery, the use of which should depend on patient prefer- ence, is unduly influenced by local physician opinion, which has resulted in striking long- term variation in the risk of surgery among lo- cal regions—the “surgical signature” phe-

nomenon. 3 Elliott Fisher and his colleagues show that among the chronically ill, the fre- quency of physician visits, diagnostic testing, and hospitalization and the chances of being admitted to an intensive care unit (ICU) de- pend largely on where patients live and the health care system they routinely use, inde- pendent of the illness they have or its sever- ity. 4 Katherine Baicker and her colleagues show that variation affects minority groups as it does white Americans, which clouds the interpretation of racial and ethnic disparities based on national average rates. 5 While noting that the U.S. supply of physi- cians grew remarkably over the past twenty years, David Goodman shows that growth in aggregate supply does not “cure” variations: In 1999 the per capita supply of generalist physi- cians varied more than twofold and that of medical specialists more than fivefold among regions.^6 I and my colleagues document that

P e r s p e c t i v e s

VA R - 1 4 0 7 O c t o b e r 2 0 0 4 DOI 10.1377/hlthaff.var.140 ©2004 Project HOPE–The People-to-People Health Foundation, Inc.

John Wennberg ([email protected]) directs the Center for the Evaluative Clinical Sciences at Dartmouth Medical School in Hanover, New Hampshire.

Medicare spending varies more than twofold among regions, but more spending is not asso- ciated with better quality, as measured by re- duced underuse of effective care, or, surpris- ingly, with more major surgery.^7 Greater per capita spending buys more intensive interven- tion among patients with chronic illness: Those who live in high-cost regions experi- ence more visits to medical specialists, tests, hospitalizations, and ICU stays than their counterparts living in low-cost regions. And because of the way Medicare is financed, re- gions with low costs end up subsidizing a siz- able proportion of the care for those living in high-cost regions. The irony, as Fisher and his colleagues show, is that patients with similar chronic ill- nesses who live in high-cost regions, including those who receive most of their care from prominent academic medical centers (AMCs), do not have better health care outcomes than patients living in low-cost regions.^8 In other words, the patterns of practice in managing chronic illness in low-cost regions do not ap- pear to result in the withholding of valuable care (health care rationing); rather, systems of care serving high-cost regions are inefficient because they are wasting resources. n (^) Possible remedies. The news, however, is not uniformly bad. Remedies for unwar- ranted variation exist, and several are de- scribed in these papers. The underuse of effec- tive care can be reduced through feedback of information and by putting in place the infra- structure required to assure the systematic im- plementation of practice guidelines.^9 Surgical processes can be improved with measurable influence on severity-adjusted case fatality rates.^10 Medical errors associated with low- volume surgery could be reduced by re- gionalization (although, as Justin Dimick and his colleagues point out, some regions have too few cases to meet minimum volume criteria).^11 Annette O’Connor and her colleagues sum- marize a growing literature showing that for preference-sensitive care involving elective surgery, the role of the patient in influencing the choice of treatments can be modified and improved by the introduction of high-quality

decision aids that encourage shared decision making.^12 Weinstein and his colleagues de- scribe a strategy for conducting clinical trials based on shared decision making that im- proves the scientific understanding of the out- comes of elective surgery and explicitly takes patient preference into account.^13 As described by Karen Sepucha and her colleagues, quality measures can be developed to assess the de- gree to which shared decision making has oc- curred.^14 The good news for payers is that the evidence so far suggests that not only do deci- sion aids improve the quality of patient deci- sion making, but also their use seems to reduce the incidence of elective surgery and result in lower costs. The overuse of supply-sensitive care can be addressed through improvements in managing chronic illness and by paying attention to the capacity of a health care system relative to the size of the population it serves.^15 As I and my colleagues show, population-based, provider- specific measures of performance based on Medicare claims can be used to describe the impact of decisions made by clinicians and ad- ministrators of fee-for-service (FFS) health care organizations on the populations they serve.^16 Performance measures include per ca- pita costs, resources used in managing chronic illness (such as the per capita numbers of full- time-equivalent physicians used), and utiliza- tion rates. Thus, at least in theory, health care organizations serving FFS Medicare beneficia- ries can adopt a population-based strategy for managing resources and utilization that is similar to the strategies used by staff-model or prepaid group practice health maintenance or- ganizations (HMOs) such as Kaiser Permanente. n (^) Persistence of variation. Remedies have been applied sporadically, however. One reason is that the quality agenda has yet to fo- cus on improving the quality of patient deci- sion making—that is, on increasing the extent to which patients make genuinely informed, preference-based choices among treatment options. The concentration instead is on medi- cal errors. The importance of focusing on both issues simultaneously can be seen in the po-

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H E A L T H A F F A I R S ~ W e b E x c l u s i v e VA R - 1 4 1

of reform of the reimbursement system. There is yet another reason for only patchy progress in reducing unwarranted variation: the poor state of clinical science. Biotechnol- ogy is producing a growing number of techno- logical interventions, and clinicians generate a plethora of theories about how they should be applied. But the basic mechanisms to assure the orderly evaluation of technologies and clinical theories simply are not in place. Clini- cal medicine is thus awash in novelty, but without the capacity to distinguish what truly works. My paper and that of Fisher and col- leagues illustrate that the problem is generic, affecting our most prestigious scientific insti- tutions.^19 Part of the problem is that academe has few incentives to devote resources and tal- ent to deal with the contradictions in their own patterns of practice. Without reform in federal science policy that gives the evaluation agenda high priority, intellectual and scientific confusion will continue to contribute to the problem of unwarranted variations. n (^) Three needed reforms. The opportu- nity to provide systematic remedy thus de- pends on three reforms. First, the quality agenda must be extended beyond effective care; the agenda should also address unwar- ranted variation in preference-sensitive treat- ments such as discretionary surgery and the overuse of physician and acute care hospital services in managing chronic illness. Second, reform of the payment system must be under- taken to enable providers to deal with the complicated and interrelated financial, organi- zational, and behavioral issues that need to be resolved if the quality of patient decision mak- ing is to be improved and inefficiencies and waste in the treatment of chronic illness reme- died. Third, AMCs and the National Institutes of Health (NIH) must respond to the glaring weaknesses in the scientific basis for clinical decision making by undertaking the system- atic evaluation of the everyday practices of medicine. As discussed in the commentary by Paul Harrington, Section 646 of the Medicare Pre- scription Drug, Improvement, and Moderniza- tion Act (MMA) of 2003 creates the opportu-

nity to undertake a demonstration project to redesign health care, to address each of these barriers to progress. 20 It asks participating provider organizations to address unwar- ranted variations in all three categories. It con- tains provisions for the reform of payment sys- tems to promote the efforts of participating health care organizations to meet these goals. And it calls for the active involvement of the NIH and the Agency for Healthcare Research and Quality (AHRQ) in helping participating providers undertake outcomes research to evaluate variations in their own patterns of practice and improve the scientific basis for clinical decision making. I am hopeful that the provisions of Section 646 will lead to a redesign of clinical practice that will serve as a model for wide replication. Variations, however, are remarkably resistant to change. Ultimately, the opportunity for a broad-based reform is constrained by our be- liefs and expectations. Our culture is embed- ded with a strong belief that more is better and that physicians know best. The study of prac- tice variations uncovers a very different, more nuanced reality. Making the practice-pattern story real to Main Street would be a giant step forward in building the constituency for change.

The author extends his thanks and appreciation to his many colleagues who have contributed to variations research over the years.

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H E A L T H A F F A I R S ~ W e b E x c l u s i v e VA R - 1 4 3

NOTES
  1. A special collection of papers and commentaries on variations is available at content.healthaffairs .org/cgi/content/full/hlthaff.var.140/DC1.
  2. K. Baicker et al., “Who You Are and Where You Live: How Race and Geography Affect the Treat- ment of Medicare Beneficiaries,” Health Affairs, 7 October 2004, content.healthaffairs.org/cgi/ content/abstract/hlthaff.var.33. For evidence on the extent of underuse of effective care, see also K. Baicker and A. Chandra, “Medicare Spending, the Physician Workforce, and Beneficiaries’ Quality of Care,” Health Affairs, 7 April 2004, content.healthaffairs.org/cgi/content/abstract/ hlthaff.w4.184 (9 September 2004); and E.A. McGlynn et al., “The Quality of Health Care De- livered to Adults in the United States,” New Eng- land Journal of Medicine 348, no. 26 (2003): 2635–
  3. J.N. Weinstein et al., “Trends and Geographic Variations in Major Surgery for Degenerative Diseases of the Hip, Knee, and Spine,” Health Af- fairs, 7 October 2004, content.healthaffairs.org/ cgi/content/abstract/hlthaff.var.81.
  4. E.S. Fisher et al., “Variations in the Longitudinal Efficiency of Academic Medical Centers,” Health Affairs, 7 October 2004, content.healthaffairs.org/ cgi/content/abstract/hlthaff.var.19.
  5. Baicker et al., “Who You Are and Where You Live.”
  6. D.C. Goodman, “Twenty-Year Trends in Regional Variations in the U.S. Physician Workforce,” Health Affairs, 7 October 2004, content.health affairs.org/cgi/content/abstract/hlthaff.var.90.
  7. J.E. Wennberg et al., “Use of Medicare Claims Data to Monitor Provider-Specific Performance among Patients with Severe Chronic Illness,” Health Affairs, 7 October 2004, content.health affairs.org/cgi/content/abstract/hlthaff.var.5.
  8. Fisher et al., “Variations in the Longitudinal Effi- ciency.”
  9. See S.F. Jencks, E.D. Huff, and T. Cuerdon, “Change in the Quality of Care Delivered to Medicare Beneficiaries, 1998–1999 to 2000– 2001,” Journal of the American Medical Association 289, no. 3 (2003): 305–312.
  10. See, for example, G.T. O’Connor et al., “A Re- gional Intervention to Improve the Hospital Mortality Associated with Coronary Artery By- pass Graft Surgery, The Northern New England Cardiovascular Disease Study Group,” Journal of the American Medical Association 275, no. 11 (1996): 841–846.
  11. J.B. Dimick, S.R.G. Finlayson, and J.D. Birkmeyer, “Regional Availability of High-Volume Hospitals for Major Surgery,” Health Affairs, 7 October 2004,

content.healthaffairs.org/cgi/content/abstract/ hlthaff.var.45.

  1. A.M. O’Connor, H.A. Llewellyn-Thomas, and A.B. Flood, “Modifying Unwarranted Variations in Health Care: Shared Decision Making using Patient Decision Aids,” Health Affairs, 7 October 2004, content.healthaffairs.org/cgi/content/ abstract/hlthaff.var.63.
  2. Weinstein et al., “Trends and Geographic Varia- tions.”
  3. K.R. Sepucha, F.J. Fowler Jr., and A.G. Mulley Jr., “Policy Support for Patient-Centered Care: The Need for Measurable Improvements in Decision Quality,” Health Affairs, 7 October 2004, content .healthaffairs.org/cgi/content/abstract/hlthaff.var .54.
  4. T. Bodenheimer, E.H. Wagner, and K. Grumbach, “Improving Primary Care for Patients with Chronic Illness: The Chronic Care Model, Part 2,” Journal of the American Medical Association 288, no. 15 (2002): 1909–1914. Alain Enthoven was the first to point out the importance of “private sec- tor health planning” as a management tool used by staff- or group-model HMOs to control ca- pacity (and thereby utilization rates for supply- sensitive care). See A.C. Enthoven, Theory and Practice of Managed Competition in Health Care Fi- nancing (Amsterdam: Elsevier North-Holland, 1988).
  5. Wennberg et al., “Use of Medicare Claims Data.”
  6. Among the 100 largest hospital referral regions (HRRs), the correlation for Medicare Part A en- rollees between bypass operations per capita and per capita deaths associated with surgery was .737 ( p < .0001); the association between case fatality (percentage of procedures ending in death) and per capita deaths associated with sur- gery was .735 ( p < .0001); and the association be- tween case fatality rates and bypass surgery per capita was .113 ( p < .0001). The data are for 1989–2001, from the Dartmouth Atlas of Health Care, www .dartmouthatlas.org (23 August 2004).
  7. Weinstein et al., “Trends and Geographic Varia- tions.”
  8. Wennberg et al., “Use of Medicare Claims Data”; and Fisher et al., “Variations in the Longitudinal Efficiency.”
  9. P. Harrington, “Quality as a System Property: Section 646 of the Medicare Modernization Act,” Health Affairs, 7 October 2004, content .healthaffairs.org/cgi/content/abstract/hlthaff.var .136.

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