Remembering the 100,000 Lives Campaign

Earlier this week the Institute for Healthcare Improvement (IHI) emailed its weekly bulletin celebrating that it has been ten years since the end of the 100,000 Lives Campaign (Appendix 1). This was the campaign, according to the bulletin, that put IHI on the map. The Campaign started at the IHI National Forum in December 2004, when IHI's president, Don Berwick, announced that IHI would work together with nearly three-quarters of the US hospitals to reduce needless deaths by 100,000 over 18 months. A phrase borrowed from political campaigns became IHI's cri de coeur: “Some is not a number. Soon is not a time.”

The Campaign relied on six key interventions:

• Rapid Response Teams
• Improved Care for Acute Myocardial Infarction
• Medication Reconciliation
• Preventing Central Line Infections
• Preventing Surgical Site Infections
• Preventing Ventilator-Associated Pnemonia [sic]

According to the bulletin, the Campaign’s impact rippled across the organization and the world. IHI listed some of the lasting impacts:

• IHI followed with the 5 Million Lives Campaign – a campaign to avoid 5 million instances of harm.
• Don Berwick and Joe McCannon brought lessons from leading the Campaigns to Centers for Medicare and Medicaid Services (CMS) and the Partnership for Patients.
• Related campaigns were launched in Canada, Australia, Sweden, Denmark, UK, Japan, and elsewhere.

IHI's profile definitely grew. One indicator tracked by IHI was media impressions, which rose to 250 million in the final year of the Campaign. IHI even put a recreational vehicle on the streets to promote their Campaign (Appendix 1). Campaign Manager Joe McCannon was on CNN to discuss the results of the Campaign.

How did IHI achieve such remarkable results in saving patients' lives? The answer is they did not. Review of the evidence basis for at least 3 of these interventions revealed fundamental flaws (1). The largest trial of rapid response teams failed to result in any improvements and the interventions to prevent central line infections and ventilator-associated pneumonia were non- or weakly-evidenced based and unlikely to improve patient outcomes (2-4). The poor methodology and sloppy estimation of the number of lives saved were pointed out in the Joint Commission’s Journal of Quality and Safety by Wachter and Pronovost (5). IHI failed to adjust their estimates of lives saved for case-mix which accounted for nearly three out of four "lives saved." The actual mortality data were supplied to the IHI by hospitals without audit, and 14% of the hospitals submitted no data at all. Moreover, the reports from even those hospitals that did submit data were usually incomplete. The most striking example is that the IHI was so anxious to announce their success that the data was based on only 15 months of data. The final three months were extrapolated from hospitals’ previous submissions. Important confounders such as the background of declining inpatient mortality rates were ignored. Even if the Campaign "saved" lives, it would be unclear if the Campaign had anything to do with the reduction (5). Buoyed by their success, the IHI proceeded with the 5,000,000 Lives Campaign (6). However, this campaign ended in 2008 and was apparently not successful (7). Although IHI promised to publish results in major medical journals, to date no publication is evident.

A fundamental flaw in the logic behind the 100,000 Lives Campaign was that preventing a complication, for example an infection, results in a life saved. Many of our patients in the ICU have an infection as their life-ending event. However, the patients are often in the ICU because their underlying disease(s). In many instances their underlying disease(s) such as cancer, heart disease, or chronic obstructive pulmonary disease are so severe that survival is unlikely. It is akin to poisoning, stabbing, shooting and decapitating a hapless victim and saying that had the decapitation been prevented, survival was assured. IHI also assumed that the data was collected completely and honestly. However, the data was incomplete as pointed out above and the honesty of self-reported hospital data has also been called into question (8).

The bulletin correctly pointed out that Berwick did carry this political campaign with its sloppy science to Washington as CMS' administrator. Under Berwick's leadership, CMS would announce a campaign, have the hospitals collect the data, extrapolate the mortality or other benefit, and prepare a press release. This scheme continues until this day (9). CMS further confounded the data by providing financial incentives to hospitals, often resulting in bonuses to hospital executives, making the data further suspect. Certainly, CMS would not examine the hospital data with skepticism because the success of their campaign was in their own political best interest.

The 100,000 Lives Campaign also had one other outcome. It made many of us who believe in the power of evidence-based medicine to enrich patients' lives to be suspicious of these political maneuvers. To rephrase a well-known quote, "The first victim of politics is the truth". These campaigns certainly financially benefit hospitals and their administrators and politically benefit bureaucrats, but whether they benefit patients is questionable. The bulletin from IHI should be viewed for what it is, a political self-promotion to rewrite the failed history of the 100,000 Lives Campaign.

Richard A. Robbins, MD

Editor, SWJPCC

References

1. Robbins RA. The unfulfilled promise of the quality movement. Southwest J Pulm Crit Care. 2014;8(1):50-63. [CrossRef]
2. Hillman K, Chen J, Cretikos M, Bellomo R, Brown D, Doig G, Finfer S, Flabouris A; MERIT study investigators. Introduction of the medical emergency team (MET) system: a cluster-randomised controlled trial. Lancet. 2005;365(9477):2091-7. [CrossRef] [PubMed]
3. Hurley J, Garciaorr R, Luedy H, Jivcu C, Wissa E, Jewell J, Whiting T, Gerkin R, Singarajah CU, Robbins RA. Correlation of compliance with central line associated blood stream infection guidelines and outcomes: a review of the evidence. Southwest J Pulm Crit Care 2012;4:163-73.
4. Padrnos L, Bui T, Pattee JJ, Whitmore EJ, Iqbal M, Lee S, Singarajah CU, Robbins RA. Analysis of overall level of evidence behind the Institute of Healthcare Improvement ventilator-associated pneumonia guidelines. Southwest J Pulm Crit Care 2011;3:40-8.
5. Wachter RM, Pronovost PJ. The 100,000 Lives Campaign: A scientific and policy review. Jt Comm J Qual Patient Saf. 2006;32(11):621-7. [PubMed]
6. Institute for Healthcare Improvement. 5 million lives campaign. Available at: http://www.ihi.org/about/Documents/5MillionLivesCampaignCaseStatement.pdf (accessed 6/24/16).
7. DerGurahian J. IHI unsure about impact of 5 Million campaign. Available at: http://www.modernhealthcare.com/article/20081210/NEWS/312109976 (accessed 6/24/16).
8. Meddings JA, Reichert H, Rogers MA, Saint S, Stephansky J, McMahon LF. Effect of nonpayment for hospital-acquired, catheter-associated urinary tract infection: a statewide analysis. Ann Intern Med. 2012;157:305-12. [CrossRef] [PubMed]
9. AHRQ Report: Hospital-Acquired Conditions Continue To Decline, Saving Lives and Costs. Dec 1, 2015. Available at: http://www.ahrq.gov/news/newsletters/e-newsletter/496.html#1 (accessed 6/24/16).

Cite as: Robbins RA. Remembering the 100,000 lives campaign. Southwest J Pulm Crit Care. 2016;12(6):255-7. doi: http://dx.doi.org/10.13175/swjpcc058-16 PDF 

CMS Penalizes 758 Hospitals for Safety Incidents

The Centers for Medicare and Medicaid Services (CMS) is penalizing 758 hospitals with higher rates of patient safety incidents, and more than half of those were also fined last year, as reported by Kaiser Health News (1).

Among the hospitals being financially punished are some well-known institutions, including Yale New Haven Hospital, Medstar Washington Hospital Center in DC, Grady Memorial Hospital, Northwestern Memorial Hospital in Chicago, Indiana University Health,  Brigham and Womens Hospital, Tufts Medical Center, University of North Carolina Hospital, the Cleveland Clinic, Hospital of the University of Pennsylvania, Parkland Health and Hospital, and the University of Virginia Medical Center (Complete List of Hospitals Penalized 2016). In the Southwest the list includes Banner University Medical Center in Tucson, Ronald Reagan UCLA Medical Center, Stanford Health Care, Denver Health Medical Center and the University of New Mexico Medical Center (for list of Southwest hospitals see Appendix 1). In total, CMS estimates the penalties will cost hospitals $364 million. Look now if you must, but you might want to read the below before on how to interpret the data.

The penalties, created by the 2010 health law, are the toughest sanctions CMS has taken on hospital safety. Patient safety advocates worry the fines are not large enough to alter hospital behavior and that they only examine a small portion of the types of mistakes that take place. On the other hand, hospitals say the penalties are counterproductive and unfairly levied against places that have made progress in safety but have not caught up to most facilities. They are also bothered that the health law requires CMS to punish a quarter of hospitals each year. CMS plans to add more types of conditions in future years.

I would like to raise two additional concerns. First, is the data accurate? The data is self-reported by the hospitals and previously the accuracy of these self reports has been questioned (2). Are some hospitals being punished for accurately reporting data while others rewarded for lying? I doubt that CMS will be looking too closely since bad data would invalidate their claims that they are improving hospital safety. It seems unlikely that punishing half the Nation's hospitals will do much except encouraging more suspect data.

Second, does the data mean anything? Please do not misconstrue or twist the truth that I am advocating against patient safety. What I am advocating for is meaningful measures. Previous research has suggested that the measures chosen by CMS have no correlation or even a negative correlation with patient outcomes (3,4). In other words, doing well on a safety measure was associated with either no improvement or a negative outcome, in some cases even death. How can this be? Let me draw an analogy of hospital admissions. About 1% of the 35 million or so patients admitted to hospitals in the US die. The death rate is much lower in the population not admitted to the hospital. According to CMS' logic, if we were to reduce admissions by 5% or 1.75 million, 17,500 lives (1% of 1.75 million) would be saved. This is, of course, absurd.

Looking at hospital acquired infections which make up much of CMS' data, CMS' logic appears similar. For example, insertion of urinary catheters, large bore central lines or endotracheal intubation in sick patients is common. The downside is some will develop urinary, line or lung infections as a complication of these insertions. Many of these sick patients will die and many will have line infections. The data is usually reported by saying hospital-acquired infections have decreased saving 50,000 lives and saved $12 billion in care costs (5). However, the truth is that hospital-acquired infections are often either not the cause of death or the final event in a disease process that caused the patient to be admitted to the hospital in the first place. If 50,000 lives are saved that should be reflected in the hospital death rates or a savings on insurance premiums. Neither has been shown to my knowledge.

So look at the data if you must but look with a skeptical eye. Until CMS convincingly demonstrates that the data is accurate and that their incentives decrease in-hospital complications, mortality and costs-the data is suspect. It could be as simple that the hospitals receiving the penalties are those taking care of sicker patients. What this means is that some hospitals, perhaps the ones that need the money the most, will have 1% less CMS reimbursement, which might make care worse rather than better.

Richard A. Robbins, MD

Editor

SWJPCC

References

1. Rau J. Medicare penalizes 758 hospitals for safety incidents, Kaiser Health News. December 10, 2015. Available at: http://khn.org/news/medicare-penalizes-758-hospitals-for-safety-incidents/ (accessed 12/11/15).
2. Robbins RA. The Emperor has no clothes: the accuracy of hospital performance data. Southwest J Pulm Crit Care 2012;5:203-5.
3. Robbins RA, Gerkin RD. Comparisons between Medicare mortality, morbidity, readmission and complications. Southwest J Pulm Crit Care. 2013;6(6):278-86
4. Lee GM, Kleinman K, Soumerai SB, et al. Effect of nonpayment for preventable infections in U.S. hospitals. N Engl J Med. 2012;367(15):1428-37. [CrossRef] [PubMed]
5. Department of Health and Human Services. Efforts to improve patient safety result in 1.3 million fewer patient harms, 50,000 lives saved and $12 billion in health spending avoided. December 2, 2014. Available at: http://www.hhs.gov/about/news/2014/12/02/efforts-improve-patient-safety-result-1-3-million-fewer-patient-harms-50000-lives-saved-and-12-billion-in-health-spending-avoided.html (accessed 12/11/15).

Cite as: Robbins RA. CMS penalizes 758 hospitals for safety incidents. Southwest J Pulm Crit Care. 2015;11(6):269-70. doi: http://dx.doi.org/10.13175/swjpcc153-15 PDF

Obamacare and Computers-Who Is to Blame?

Count me among the unsympathetic to the recent Center for Medicare and Medicaid (CMS) problems with the rollout of Obamacare, aka the Affordable Care Act. Yesterday, Marilyn Tavenner, the Administrator of CMS, apologized for the troubled rollout of the federal health insurance web site and promised to fix the problems that have prevented many consumers from signing up for coverage (1). Today, Tavenner’s boss, Kathleen Sebelius, Health and Human Services Secretary acknowledged “frustrating” problems that would be fixed “as soon as possible”. She offered an apology for the site’s troubled launch, while also attributing the glitches to private-sector contractors (2). The later is particularly telling.

We have repeatedly heard how the “magic” of the computer can solve problems in health care (3). To this end, CMS created a Medicare Electronic Health Care (EHR) Incentive Program and touted that eligible professionals could receive up to $44,000 over 5 years for full implementation (4). However, CMS estimated the average cost of implementing an EHR over 5 years was $48,000 or a loss of $4,000 assuming the best reimbursement. It is not clear how close these dollar amounts match the actual numbers but a number of private practice physicians have complained that the cost was much more and the reimbursement much less (Robbins RA, unpublished observations). What was most disturbing is the implication that physicians are to blame when EHR implementation is slow or fails to achieve the promised improved care at lower costs (3).

The recent Obamacare rollout problems can be blamed on a variety of issues from too many contractors involved, inadequate testing, poor leadership, etc., but the main fault has been the perception that health information technology (IT) is easy. However, the available evidence suggests that health IT is not “magic”.  In most industries, IT has taken years, often decades to exert its effects (5).  Personally I believe health IT can have a huge beneficial effect on healthcare delivery-but it might take a decade or two. 

A meaningful partnership between clinicians, administrators and payers achieving and rewarding high-value care is needed. To do this physicians need considerable input, and perhaps more importantly, control of any EHR. Second, physicians need to be rewarded for good care which is centered on improved patient outcomes and not endless checklists that do little more than consume time. Failure to do so will result in inefficient and more costly care and not in the improvements Obamacare promised. To paraphrase Cassius from Julius Caesar, the fault is not in our contractors, but in ourselves. It is distressing that political ambition and arrogance may jeopardize the healthcare of millions of Americans.

Richard A. Robbins, MD*

Editor, SWJPCC

References

1. Somashekhar S. Administration official Marilyn Tavenner apologizes for HealthCare.gov problems. Washington Post. October 29, 2013. Available at: http://www.washingtonpost.com/national/health-science/administration-official-marilyn-tavenner-apologizes-for-healthcaregov-problems/2013/10/29/4d2a07ea-40c6-11e3-9c8b-e8deeb3c755b_story.html (accessed 10/30/13).
2. Branigin W, Somashekhar S. Kathleen Sebelius acknowledges “frustrating” problems with health-care web site. Washington Post. October 30, 2013. Available at: http://www.washingtonpost.com/politics/kathleen-sebelius-acknowledges-frustrating-problems-with-health-care-web-site/2013/10/30/8cf36c98-415e-11e3-a751-f032898f2dbc_story.html (accessed 10/30/13).
3. Robbins RA. Getting the best care at the lowest price. Southwest J Pulm Crit Care 2012;5:145-8.
4. http://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/index.html?redirect=/ehrincentiveprograms/ (accessed 10/30/13).
5. Jha A. As the debate over Obamacare implementation rages, a success on the IT front. The Health Care Blog. July 12, 2013. Available at: http://thehealthcareblog.com/blog/2013/07/12/as-the-debate-over-obamacare-implementation-rages-a-success-on-the-it-front/ (accessed 10/30/13).

*The views expressed in this editorial are those of the author and do not necessarily represent the views of the Arizona, New Mexico or Colorado Thoracic Societies or the Mayo Clinic.

Reference as: Robbins RA. Obamacare and computers-who is to blame? Southwest J Pulm Crit Care. 2013;7(4):269-70. doi: http://dx.doi.org/10.13175/swjpcc145-13 PDF