ACOs or Accountable Care Organizations were created by the health reform legislation proposed by President Obama and passed by the legislature one year ago. They are the Nation's new hope in reorganizing the financing (and, it is hoped, the delivery) of health care to support improved outcomes. Patients are not required to belong to an ACO and the ACO does not restrict the patient's access to any caregiver they choose. The ACO is, however, incentivized financially to help the patient organize their health care to achieve a better outcome and thus, save the health care system money. The money saved, in one model being proposed, is then shared between the payer (the insurance company or government in the majority of cases) and the provider (the ACO).
Now that the Medicare regulations have been proposed (by CMS on 3-31-11) it is clear that the attribution method used to assign patients to an ACO does nothing to encourage a health care provider to reach out to their community to engage new patients. To be in a particular ACO, the patient has to get the plurality of their care with a provider in that ACO. To be paid a premium for that patient's care, the provider must focus on optimizing the care of that patient - definitely a good thing to do.
But if I want to improve the outcomes for people with diabetes in the community, I have to outreach to the community, focusing not just on the patients who are already getting a plurality of care from me, their doctor, but rather on the at-risk patients, patients lost to follow-up, and patients who have scattered and disorganized care - using emergency rooms as their family doctor. Only by reaching those patients who are not regularly in the care of a given provider can we achieve better outcomes at a community level.
The problem is not unique to ACOs. All quality improvement programs, rewards for doctors to improve the care of their patients and all quality recognition programs for providers focus on improving the care of patients we already see. This is surely important as doctors everywhere give suboptimal care - usually missing needed preventive health care interventions and focusing on acute care needs. But to improve population health we must reach out to those who do not have a regular source of primary health care.
To accomplish this we need to change the entire process of quality reporting and add some community based outcome measures into the expanding list of measures that are used to evaluate the work of physicians. As we move our patients into ACOs, we must be sure to simultaneously increase our focus outside of our practices and make sure that we engage people not currently in organized primary care systems.
As we develop quality reports we should run them all in two ways. First, we should run them to assess the quality of care we are giving to the patients who have committed their care to us - those who, for example, have been to see us at least twice in the past year. Second, we should run our quality reports using, as a denominator, any patient who has ever been into our health center with the condition being evaluated. This will measure how well we do with patient engagement, how well we are doing with outreach to those lost to follow-up and will encourage patients who have dropped out of care, to re-engage. Even if we do not have the resources to do frank community outreach, efforts to reach this group of patients will help to address those who are not in care and will help build our patient base as well. ACOs need to develop a mechanism to support this type of work in our practices, lest they just become another reward for caring for those who are already committed to a source of care.
Showing posts with label Public Health. Show all posts
Showing posts with label Public Health. Show all posts
Saturday, April 2, 2011
Sunday, November 4, 2007
Community Health Centers in the Service of Public Health
For too many years public health departments and community health centers have lived in their own worlds, with public health focused on geographically and politically designated populations while community health focused on the delivery of primary health care services.
In 2002, when the Institute for Family Health went live with the EPIC electronic health record and practice management system one of our first major projects was to link with the New York City Department of Health and Mental Hygiene to eliminate these silos and to explore the many ways that our work was complementary. What has resulted is a significant array of joint projects that was honored with this year with receipt of the 2007 Davies Award in the category of Public Health from HIMSS. A few of the figures from our application are posted below. We are very committed to using the electronic health record to link our community health center network to the important work of our health department in monitoring and improving the care of all New Yorkers. (You can double-click on any of the figures to enlarge them for easier reading).
Figure 1
The New York City Department of Health and Mental Hygiene collects data from a variety of sources for its Syndromic Surveillance System including ER data, 911 data, absentee data, and pharmacy data. In this figure, the results of their ER data collection are compared to data they receive from our EHR using fever and respiratory symptoms as the trigger. It can be seen that the Institute's EHR data peaks days before the ER data when Flu A is prevalent and is much more responsive than the ER data in showing the less serious flu B outbreak that appears later in the year.
Figure 2
This figure represents the bilateral transfer of information between the NYCDOHMH and the Institute for Family Health. When the NYCDOHMH receives a signal from any source of an outbreak they immediately issue a bulletin via email to all NYC providers. That notice is picked up by our Chief Medical Information Officer and if appropriate an alert is programmed immediately into our EHR. This alert may ask that Insititute providers collect specimens for the DOH for further investigation.
Figure 3
In September of 2007 the DOH reported an outbreak of Legionairres' Disease in the Parkchester neighborhood in the Bronx. Alerts were immediately put in the system such that when a patient presents in either of the two centers we operate in Parkchester, and has a chief complaint of cough the provider receives a message to consider Legionella as a possible diagnosis.
Figure 4
The alert is coupled with a Smart Set of possible notes and orders to facilitate the proper response by the provider
Figure 5
In another shared activity with NYCDOHMH the Institute has begun tracking outcomes on over 40 indicators which are related to the City's "Take Care New York" program. In the example below we track the percent of patients (Men > 35, Women > 45) who have met criteria for cholesterol testing.
Figure 6
In this figure we are tracking the progress that results from an alert to nurses and providers to update the substance abuse history portion of the EHR. One can see that compliance was quite poor to begin with but has steadily increased at all sites.
Additional joint projects include
In 2002, when the Institute for Family Health went live with the EPIC electronic health record and practice management system one of our first major projects was to link with the New York City Department of Health and Mental Hygiene to eliminate these silos and to explore the many ways that our work was complementary. What has resulted is a significant array of joint projects that was honored with this year with receipt of the 2007 Davies Award in the category of Public Health from HIMSS. A few of the figures from our application are posted below. We are very committed to using the electronic health record to link our community health center network to the important work of our health department in monitoring and improving the care of all New Yorkers. (You can double-click on any of the figures to enlarge them for easier reading).
Figure 1
The New York City Department of Health and Mental Hygiene collects data from a variety of sources for its Syndromic Surveillance System including ER data, 911 data, absentee data, and pharmacy data. In this figure, the results of their ER data collection are compared to data they receive from our EHR using fever and respiratory symptoms as the trigger. It can be seen that the Institute's EHR data peaks days before the ER data when Flu A is prevalent and is much more responsive than the ER data in showing the less serious flu B outbreak that appears later in the year.
Figure 2
This figure represents the bilateral transfer of information between the NYCDOHMH and the Institute for Family Health. When the NYCDOHMH receives a signal from any source of an outbreak they immediately issue a bulletin via email to all NYC providers. That notice is picked up by our Chief Medical Information Officer and if appropriate an alert is programmed immediately into our EHR. This alert may ask that Insititute providers collect specimens for the DOH for further investigation.
Figure 3
In September of 2007 the DOH reported an outbreak of Legionairres' Disease in the Parkchester neighborhood in the Bronx. Alerts were immediately put in the system such that when a patient presents in either of the two centers we operate in Parkchester, and has a chief complaint of cough the provider receives a message to consider Legionella as a possible diagnosis.
Figure 4
The alert is coupled with a Smart Set of possible notes and orders to facilitate the proper response by the provider
Figure 5
In another shared activity with NYCDOHMH the Institute has begun tracking outcomes on over 40 indicators which are related to the City's "Take Care New York" program. In the example below we track the percent of patients (Men > 35, Women > 45) who have met criteria for cholesterol testing.
Figure 6
In this figure we are tracking the progress that results from an alert to nurses and providers to update the substance abuse history portion of the EHR. One can see that compliance was quite poor to begin with but has steadily increased at all sites.
Additional joint projects include
- producing a series of algorithms for decision supports that are generic and will be in the public domain and are specific to primary care practice
- a bilateral interface with the immunization registry
- automated reporting of communicable diseases
- development of a "model" EHR for public health
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