Disclaimer: The content is solely the responsibility of the authors and does not necessarily reflect the views of the Agency for Healthcare Research and Quality or the National Science Foundation.
Acknowledgment: The authors thank Zoe Lyon, Xiner Zhou, and members of the Harvard Institute for Quantitative Social Sciences Research Technology Consulting group for their support on elements of this project.
Grant Support: At the time of this project, Dr. Scott was supported by grants T32HS00055 from the Agency for Healthcare Research and Quality and NSF 13-584 from the National Science Foundation Graduate Research Fellowship.
Disclosures: Dr. Cutler reports grants from the National Institutes of Health (NIH) during the conduct of the study; nonfinancial support from Alliance for Aging Research, Demos: A Network for Ideas and Action, University of Arizona, University of Missouri–Kansas City, Intermountain Healthcare, Kaiser Permanente,
Journal of the American Medical Association, U.S. Senate, Partners Healthcare, Princeton University, New Jersey Association of Mental Health and Addiction Agencies, Spinemark, U.S. Department of Health and Human Services, The Advanced Medical Technology Association, Health Policy Commission (Commonwealth of Massachusetts), University of Chicago, Health Affairs, NIH, DuPont Children's Hospital, Symposium on U.S. Sustainable Health, National Bureau of Economic Research, Institute of Medicine, Georgia State University, Federal Reserve Bank Atlanta, The Commonwealth Fund, and Brookings Institute, outside the submitted work; personal fees from Healthcare Financial Management Association, New York City Health and Hospitals Corporation, Robert W. Baird & Co, and Bank of America Webinar, outside the submitted work; and personal fees and nonfinancial support from Novartis Princeton, MedForce, Veterans Health Administration, International Monetary Fund, National Council and Community Behavioral Healthcare, Delaware Health Sciences Alliance, Dartmouth College, Healthcare Billing and Management Association, Cadence Health, Pompeu Fabra University, Aon Hewitt, American Health Lawyers Association, Parenteral Drug Association, UBS, Aetna, Toshiba, Ernst and Young, Yale University, and New York University, outside the submitted work. Disclosures can be viewed at
www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M16-0125.
Editors' Disclosures: Christine Laine, MD, MPH, Editor in Chief, reports that she has no financial relationships or interests to disclose. Darren B. Taichman, MD, PhD, Executive Deputy Editor, reports that he has no financial relationships or interests to disclose. Cynthia D. Mulrow, MD, MSc, Senior Deputy Editor, reports that she has no relationships or interests to disclose. Deborah Cotton, MD, MPH, Deputy Editor, reports that she has no financial relationships or interest to disclose. Jaya K. Rao, MD, MHS, Deputy Editor, reports that she has stock holdings/options in Eli Lilly and Pfizer. Sankey V. Williams, MD, Deputy Editor, reports that he has no financial relationships or interests to disclose. Catharine B. Stack, PhD, MS, Deputy Editor for Statistics, reports that she has stock holdings in Pfizer and Johnson & Johnson.
Reproducible Research Statement: Study protocol: Available from Dr. Scott (e-mail,
[email protected]).
Statistical code and data set: Not available.
Corresponding Author: Ashish K. Jha, MD, MPH, Harvard Global Health Institute, 42 Church Street, Cambridge, MA 02138; e-mail,
[email protected].
Current Author Addresses: Dr. Scott: Harvard Interfaculty Initiative in Health Policy, 14 Story Street, 4th Floor, Cambridge, MA 02138.
Dr. Orav: Brigham and Women's Hospital, 1620 Tremont Street, Boston, MA 02115.
Dr. Cutler: Littauer Center, 1805 Cambridge Street, Cambridge, MA 02138.
Dr. Jha: Harvard Global Health Institute, 42 Church Street, Cambridge, MA 02138.
Author Contributions: Conception and design: K.W. Scott, E.J. Orav, D.M. Cutler.
Analysis and interpretation of the data: K.W. Scott and E.J. Orav.
Drafting of the article: K.W. Scott, E.J. Orav, D.M. Cutler, A.K. Jha.
Critical revision for important intellectual content: K.W. Scott, E.J. Orav, D.M. Cutler, A.K. Jha.
Final approval of the article: K.W. Scott, E.J. Orav, D.M. Cutler, A.K. Jha.
Provision of study materials or patients: D.M. Cutler.
Statistical expertise: E.J. Orav.
Administrative, technical, or logistic support: K.W. Scott, D.M. Cutler, A.K. Jha.
Collection and assembly of data: K.W. Scott and D.M. Cutler.
MD
Employment Agreements and Quality-of-Care
To date, the primary driver for hospital systems to employ physicians is to ensure they have a more stable revenue stream. The clear majority of those physicians coming out of training are not looking for positions in private practice with all its intendent business hassles. This means that those who have embraced private practice cannot easily recruit and retain physicians. At the same time, many physicians in private practice are finding the business and regulatory burdens of private practice no longer tenable and are looking for hospital system-affiliated employment opportunities. So, it seems for hospital systems, physician employment is primarily a matter of financial survival. While the pursuit of quality is noble, it is not the primary driver of the affiliation changes described in the article.
In my experience, the pursuit of improved quality-of-care is not magic. It does not arise spontaneously out of an employment agreement. What is required is time and attention, usually from a team of individuals, who can understand processes and work flows and preform gap analyses, and who can use a variety of tools inherent to process improvement. In general, if you want to have physicians participate in this process, you need to offset reduction in income based on lower productivity with a stipend that covers their lost opportunity. As noted by the authors in the discussion, “For example, by employing physicians, hospitals can more closely direct their activities and drive changes in care.” With largely productivity-based employment agreements, for that to happen hospital systems must be willing to separately reimburse physicians for those activities.
Two years of observation is not enough
Generally, it took a minimum of 4 to 6 months for a practice and its physicians to become acclimated to our EMR. We usually did implementation in stages (retrieval of data, orders/prescriptions, and documentation) to minimize impact on productivity and to reduce the trauma of the transition. At that point, we would start holding practices and individuals accountable for adhering to the standards and expectations set previously and enforced for our employed doctors. This too was introduced gradually, and it was really only after a year of employment that a newly employed physician could be considered to be fully integrated into our system. This timeline applied to other aspects of performance and integration, not just function within the EMR.
The process of ending one’s private practice is painful; I went through it before moving to the world of medical IT. There is a sense of failure in needing to give up something that you have built. There is a natural resistance to being told what to do after setting your own rules for the last 20 odd years. There is a chafing under what might seem to be mindless bureaucracy (sometimes it is, but often it’s the difference between running a small office and a big medical center). There is the shock and disruption of simply needing to do things differently after doing it your own way. Physicians changing status from private to employed are NOT the same as “new hires.” They are older, set in their ways, and the transition is not always comfortable. These are folks NOT working at their peak efficiency or job satisfaction.
Finally, implementation of a protocol or standardization of a process is sometimes time consuming, disruptive, and initially met with resistance.
Thus, I would argue that two years is too short a time period to judge success or failure. My gut tells me that the benefits of the employment for quality of care outweigh the negatives. There is more accountability, more expert knowledge available in a large organization, and more resources with which to make things happen. The authors are to be commended for trying to assess impact in an objective fashion. However, two years may be a rush to judgement.
Response
Dr. Ertle’s reflection points out the important nuance that an employment model does not mean that physicians are not compensated based on financial productivity. Our point in the introduction was that hospitals can use these arrangements to drive quality but the evidence suggests that they are not, on average, doing so. It is also a reminder of the great variability in what “employment” may mean across different hospitals and settings.
Finally, we are grateful for Dr. Ringel’s comments about the difficulty of making this transition work and the timeline examined in the study. His personal account of guiding the transition of previously private physicians to a hospital-employment model provides valuable insight into the dramatic changes that are underway to promote such acquisitions and that such changes do indeed take time. While we agree that it may take many years, our findings suggest that at least two full years after the transition, there have been no meaningful gains in quality. Whether a longer post-transition period will yield better results is unclear but it does suggest that policymakers should not look to hospital acquisition of physician practices as a quick fix that will lead to better care within a few years.
REFERENCES
[1] Scott KW, Orav EJ, Cutler DM, Jha AK. Changes in Hospital–Physician Affiliations in U.S. Hospitals and Their Effect on Quality of Care. Ann Intern Med. 2017;166:1-8. doi: 10.7326/M16-0125
[2] Baker LC, Bundorf MK, Kessler DP. Vertical Integration: Hospital Ownership of Physician Practices is Associated with Higher Prices and Spending. Health Aff May 2014 33:5756-763; doi:10.1377/hlthaff.2013.1279