The Health care industry has been changing rapidly. Provider organizations are getting bigger and more vertically integrated, more doctors are employed by such organizations (rather than being autonomous providers), profit margins are getting bigger in both for profit and non profit sectors, and new organizations and partnerships (Aetna & CVS, Amazon, etc.) are entering the health space in this country. What is going on?
In a word: Risk. Hospitals (and health care organizations of all types and sizes) are increasingly feeling pressured to be “contingently compensated” for their services. Rather than being paid a price for doing an x ray , or a hernia procedure, they are being paid according to whether certain quality standards are met or whether the patient does not get readmitted soon after discharge, or other conditions. In the extreme, they are signing capitation contracts with payors, whereby providers are paid contingent on keeping enrolled patients healthy, and kept out of hospitals! In the old days insurers bore these kinds of risks, not providers. But, the last 40 years or so has seen payors shifting these risks of “meeting care standards” and “keeping populations healthy” back onto providers. Providers bearing risk is now an important topic in the C suite of every provider organization in America.
Interestingly, along with added risk bearing by providers, we see managers in hospitals and other organizations try to wrest more control of health care oversight from clinicians in order to do their job —- to be able to sustain the organization by introducing necessary change into the organization. This process of ‘getting control’ , setting guidelines, evaluating & monitoring, and in all ways managing practice patterns and integrating care, has been going on for nearly 40 years, since cost based reimbursement began to slip away, and managers had to learn how to say “no” to doctors. In the 1980s a thousand hospitals failed and most CEOs lost their jobs because they couldn’t manage necessary change in a new fixed rate financial environment of DRGs. Since then, the viability of provider organizations improved even as (or because) they have had to bear more and more financial risk. Managers have found new ways to control practice patterns, and costs, and margins, and new kinds of organizational arrangements in order to recover cost savings in a far riskier environment and now face a very uncertain future for the Medicare program and for payment policy.
A. Provider Risk Bearing and Changing Managerial Role
Since the late 1970s states and other payers have been increasing the risks that provider organizations have had to bear for unexpected factors that might increase costs of providing health care services. For the first decade of Medicare, part A providers were paid their incurred costs. By the mid 1970s, Medicare began to experiment with new ways of risk sharing with providers, granting waivers to states to experiment with new hospital and other payment schemes. With these waivers in a dozen or so states it was clear, even before the onset of DRGs in 1983, that the “days were numbered” for cost reimbursement (and for percentage of charges approaches often used by other payers). in hospitals. The good old days of “generating added revenue by simply spending more” were soon to be over, requiring managers to step up to a more difficult task of keeping the organization financially viable.
Incentive payment systems for all Medicare services were eventually developed, and most other payers followed with their own new payment systems. Initially, all payers chose to use a “fixed prospective rate” approach for a ‘short’ bundle of services (a daily rate, a procedure rate including pre and post care, an inpatient episode, a 90 day episode of home care). This put providers at financial risk for unexpected or unwanted cost increases, or excessive service use during the bundled period of time. As adopted, the financial risk began to shift from payers to providers as payment methods for doctors, hospitals as other providers further evolved from fixed fees to include more and more bundling. and slowly increased use of capitation— a payment method which shifts all the risk to providers accepting the premium payment. This trend is illustrated here:
What this chart shows is that the are fundamental trends in the U.S. that have the result of causing provider organizations to bear more risk for patients being unhealthy! That means that the financial consequence of health care organizations (HCOs) have increasingly been driven by the their ability to do a good job keeping their patients healthy. This sounds “as it should be” . True, but in the past people paid out of pocket for the health care they needed (eg households were at risk). Then came the age of insurance— where businesses and government programs paid for the consequences of sickness and injury (eg they paid the insurance premiums for the population). Now (since 1983) insurers have been trying to shift some of the risk-of-bad-health back to providers, and to a lesser extent back to households (through the popular high deductible health plans that are being offered today). You can ignor the algebra on the slide.
Like HMOs, provider groups, and hospitals are signing contracts that are of 2 forms, putting them at risk for how well they are able to keep enrollees healthy: (1) they are paid a capitation rate (per person per year) as a premium–regardless how much care the individual person needs, (2) they are paid bonuses (penalties) based on quality of care measures. The latter is called value based care. Both reward providers for doing a good job. Theoretically, both create positive incentives to keep patients healthy. Both are causing the health care industry to pivot sharply from their business behaviors of the “good old days”.
Coping with this shift in risk is fundamentally changing the health care organizations and the industry. In the past the costs and revenue of the organization was driven by how much volume of work was done or was ordered by caregivers— now, more and more of the revenue of the organization is fixed (by type of patient) while costs are still driven by what the caregiver orders. The payment systems being used have been upgraded from time to time. There are updates, and the size of bundles is increasing. This causes providers to be responsible for more and more service integration, and better control over services provided by partners or distinct provider units covered by the bundle. And, at the extreme, capitation is the largest bundle— where the provider is paid an amount per enrollee to cover all covered services in a year. Providers bear all the risk of cost increases or out-of-control practice patterns —and the provider will accrue all the cost benefits of wellness. The full provider risk situation for hospitals is also the case if the hospital is paid in the form a fixed budget amount for a year.
Additional risk is also being borne by providers for the new value based payment systems used by Medicare and other payors (sometimes referred to P4P). In these payment schemes, revenue is also contingent on meeting patient care quality benchmarks.
By putting providers at additional risk, payors are driving health care organizations to become more “mature” in the way they try to coordinate care, and become more efficient. This important chart describes phases of maturing as it relates to payment incentives.
The ultimate form of risk bearing by providers occurs when capitation is paid (or for a hospital, a fixed budget limit is set for a year). For these kinds of payment methods, there is not only aggressive needs for providers to control both costs and excessive service utilization. Unlike other payment approaches (FFS, DRGs, other bundled payment) in capitation there are also strong incentives to promote wellness, and thereby keep enrollees out of hospitals. If there are are increases in wellness among the enrolled population, the costs of treatment will fall and more profit will result. Indeed capitation is the only payment scheme for providers which actively incentivizes keeping the enrollees healthy! The other payment schemes (DRGs, bundled payment, FFS, cost reimbursement) pay providers more if they do more. And, while these other methods may well encourage providers to do the “right thing as well as it can be done for the patient who needs it”(eg. good quality), this is not the same thing as keeping the panel of patients as healthy as possible. Health, or wellness is largely driven by choices people themselves make, not by the actions taken by providers.
Wellness, or health, is the objective of the at risk environment. Keeping enrollees well, and out of hospitals, is the key to financial well being of the organization. This is of course a fabulous alignment of enrollee and plan interests. Unfortunately, for providers anyway, the primary determinant of health or wellness of a population is not provider accessibility, or provider quality of care. The primary driver of Health are the lifestyle choices made in the household. The primary drivers are risk factors like diet, tobacco use, obesity, and other risk taking behaviors. Many studies point to the result that about 50% of the poor health (burden of disease) in populations is lifestyle choices, while maybe 10% of the preventable bad health is controlled by use/quality/access to curative health care services The slide here shows the result of many studies looking at the drivers of health in populations:
B. What Do Providers Try to Do When They Must Bear More Risk ?
So, if hospitals and other providers are bearing more and more of the financial risk, what steps can they take to mitigate or manage that risk. There are four main coping mechanisms available to managers. These trends are all seen in practice now.
1. Get Bigger. One way to deal with added risk IS TO GET BIGGER IN SIZE. If bigger, the impact of an adverse event (like a patient staying for a year, or having a flood of readmissions ) will not be as threatening to the larger institution as it would be to a smaller one. So, organizations are “consolidating” thru merger and acquisition, reducing the number of independent hospital organizations. This is a logical response to risk bearing. And, of course there are other incentives for getting bigger like added market share and market power, and producing more negotiating leverage on both the supply chain, and in terms of prices received from private payors. Here we show the M&A rate rising among hospitals, and the reduction in numbers of senior managers in U.S. hospitals (occurring from M&A activity).
2. Get More Integrated (and bigger too). Being more vertically integrated as an organization has advantages over a single service organizations. Doing primary care, specialty care, community based care, home care, rehab, outpatient, and the like gives the single large organization more flexibility in making sure the patient gets care in the correct setting at the correct time. This is particularly critical when bundled payment is being used. And, it allows improved outcomes (and sometimes lower costs) because attention can be paid to better coordination between multiple conditions (particularly for patients with both physical and mental conditions). And, being bigger offers potential for lower costs due to economies of scale and scope. The slide here describes an integrated network, where active management (using care coordinators and patient navigators and other tools), can replace passive (non managed) “referrals” by providers.
3. Get More Efficient (eg Leaner) . When managers face risk and uncertainty about the future they always favor tactics of cost cutting and promoting efficiency, Cost cutting builds profitability, and is always a “safe” management strategy. When in doubt about what direction to go, or where to invest for the future, the successful manager often hunkers down and cuts costs— protecting and reserving the possibilities for doing something else later. Other strategies like new market plays, and more growth, or creating new services all are “revenue” plays that require investments If they dont work, the manager may be in trouble. Cutting costs doesnt have such a risk. Today, many large hospital centered organizations are getting larger, and developing more market power, and they are earning larger and large profit margins as the strive to cut out inefficiency and lower costs. Their public relations messaging to staff and to the public is that raise pools need to be small, and extra funds are “simply unavailable” because “profit margins are very slim due to inadequate payment levels by public payors”. In fact, costs are being trimmed and profit margins are on the rise in both non profit and for profit organizations.
Here we show the rise in profit margins in hospitals:
4. Get More Control of Clinical Operations and Utilization of Services (Practice Patterns). Mangers in an “at risk” environment cannot let clinicians do what they want any longer. This puts the organization at financial risk.This battle for control has been going on for a long time. There are three general areas of “control” that are needed–all new roles for managers.
a. Hiring Physicians
One area where control issues are most direct is the direct employment of physicians by hospitals, sometimes as hospitalists to limit the influence of community admitting physicians. See the slide
b. Allocating budget resources across services and across population
segments
Under a fixed cap of revenue, the manager should be trying to produce the maximum health for the enrolled population. This requires control of the resource budget to be allocate in the most efficient way. This has not been done in the FFS/DRG world— where the doctor and individual patient decide what course to take, creating a revenue stream in the process. In the fixed cap regime, the question should not just be whether to do the additional $1500 scan on Mrs. Jones, or not, but whether the health gains for Mrs Jones are as high as the health gains that might be achieved by spending the additional 1500 on some other service for some other patient. We call this population health management, rather than patient health management. It opens up the simple question of whether the $1500 is a worthwhile investment for Mrs. Jones to the broader question, of whether the $1500 could be better spent doing something else for another patient in the enrolled population. This is sometimes called “rationing” care. Americans dont like it at all.
The managers job is more substantial in the world of full financial risk or population health management. They must:
- determine the organization’s survival strategy (where to take the organization)
- set coverage policies and priorities
- sell the BOD, staff, and the marketplace on that strategy and the specific program changes
- reorganize operations in order to achieve objectives, and to operate efficiently
- Develop appropriate planning and budgeting mechanisms for the organization
Most staff will resist the changes that will need to be made by management to allow the organization to flourish in the new environment. Investment funds will be needed for new data systems, and new programs, and there will be push back from program leadership throughout the organization as funding for pre-existing programs are threatened to make room for new programs and services. Change is hard. Leadership requirements for effecting these changes will tax the capacities of many otherwise competent managers. Many organizations will be too slow or too ineffective in making the necessary changes. Competitive positions will be compromised. Financial objectives will also suffer.
Budgeting will be a key flashpoint for introducing and managing the pace of change. To allocate budgets for prevention and curative services across population segments will be the key to achieving the “maximum bang for the buck”. This is done by using tools such as coverage limitations, practice guidelines, special programs, provider and enrollee incentives, patient care policies and other means. Taken together, they represent tools to achieve “control” over resource allocation in clinical operations. This is hard, of course, and will be resisted by both enrollees (who are used to getting what they, as individuals, need!) and providers (who have been able to be autonomous in their decisions about what is need for each particular patient). But, so to is the fundamental change in the situation— we now have a fixed pot of money, and giving some of it to Mrs Jones is, in reality, taking it away from everyone else. The world of entitlement for Mrs Jones and her providers is over in the attempt to achieve the maximum health level for all of the enrollees taken together. Provider acceptance of “risk” is a hard problem in health care organizations. It will necessarily change the autonomy so enjoyed by clinicians for so long.
c. Pursuing tactics now called Population Health Management
When providers are at full risk for “what patients need”, and “what it costs to deliver it” they need to behave differently. Specifically, providers need to do two basic things that are new: (1) they need to do what they can tot keep patients “well”, and (2) to find ways to keep patients “out of hospitals” where expenses can be catastrophic.
There are a number of tactics for keeping patients well, and provider organizations are not necessarily good at this at all. As discussed earlier, mostly, the state of personal health is mainly driven by choices made in the household about what one puts in their mouth, what kinds of exercise habits are, and other personal risk factors. HMOs, or capitated health plans, have developed some “wellness programs” for high risk individuals, in addition to being very efficient about hospital usage (about a third less). But, provider organizations have historically been paid in ways that create incentives to do as much as possible for patients, because that will get you paid more.
keeping unnecessary costs down, the largest component of which is unnecessary hospitalizations.
Certain opportunities exist for doing this, include:
- preventing chronically ill patients who are at high risk for exacerbations & rehospitalizations that are directly preventable by changing patient behavior, particularly those that might arise from medication adherence & nutritional problems
- eliminating the high cost, heroic end of life care that is often unwanted by the patient anyway
- better integrating care to create savings by managing comorbidities better and by doing follow up care in the most appropriate setting
- by taking advantage of “big data” and related analytics to identify the best patients to target for engagement programs to prevent high cost episodes, and for identifying the most appropriate treatments, or the best candidates for interventions to deal with medication adherence problems.
Under high risk, the incentives facing provider organizations turn in favor of doing less, and enabling the patient to “stay as healthy as possible” and keeping avoidable episodes of expensive care at a minimum. This area of new provider programming is called “population health management”.
C. More on Population Health Management (PHM):
Creating Healthy Enrollees at Minimal Cost
This section provides more detail on PHM. The title takes its name from the objective of a “premium based organization” (like a capitated provider). If you are “at risk” for a group of enrollees, and paid a fixed price to take care of all of them, then your financial result will depend on how much you are paid, and how much in total it costs you to take care of them. Your overall objective in such a full risk situation is to to produce the most health for the enrollees (as a group) as you can, given the constraint of the fixed resource limit (the premium or capitation limit).
This presents 4 management problems for the provider organization (the HMO or the ACO with enrollees, or the Health Insurer):
1. negotiating the rate (how high is the premium going to be?) This is not always a problem—if as a
Medicare AHP you are given a rate without any negotiations. Inthis case your only decision is
whether to play or not.
2. how do we contract (or hire) with the providers, supply chain organizations, and
vendors to arrive at the best result (most population health) possible for the money.
And how do we best monitor that process and make necessary
adjustments to it.
3. how can we manage costs of care delivery to achieve the most population
health given the money we have to spend. This involves lots of budget choices: How
we allocate budget across groups of enrollees, across departments of service,
between prevention and curative programming, and how much do we allocate
to eliminate unnecessary (preventable) care– cost that don’t really contribute much
to the resulting “needs” of the patients. Yes, they are preventable costs created
by deficiencies of the “system”.
4. how can we get the level of health or wellness as high as we can make it — by
enabling, encouraging, promoting, incentivizing our enrollees to produce the highest
level of health from the drivers under their own control.
.
PHM strategy is conventionally focused on management priorities included within 3,4 above. These are generally widely held views that certain aspects of the existing health services delivery system is wasting money on, or not focusing enough attention on— eg opportunities for generating more population health or saving money, or both.
With PHM the organization faces a different problem than simply treating every presenting patient as best they can—- rather, they face the problem of maximizing the health “of the population” they serve subject to the constraint of a premium or budget limit. The way to do that is to allocate resources across patients according to getting the same marginal return on the last dollar spent on each of us. We cant really do that. But, what we would do is what most other country’s attempt to do with government financed health systems (eg a fixed budget to be allocated each year). They have
(1) a fixed and detailed coverage package that applies to everyone,
(2) a fixed budget for every hospital and clinic
(3) rules in organizations about how care is practiced (eg medical guidelines).
An 85 year old patient in failing health who is not eligible for a transplant may feels that they are entitled to an heroic transplant anyway. Sometimes, if wealthy, patients come to other countries to avoid such restrictions in their own “managed” health system, where being more equitable is not the main objective– but getting the most health for the money they have to spend encourages the allocation rules.
One final point. PHM, and the notion of getting the most health of the population as our pool of money can buy is directly in conflict with the “individualistic” approach to serving patient needs. That approach ” doing what the individual patient needs” has been advocated by the professionals, written into our “free choice” policies of health insurance, and its roots go deep from the notion of “entitlement” that has been part of our culture from the beginning. That notion is that here, people earn their entitlement to do what they want, say what they want, and consume what they want– rather than be born into their entitlement (or not) as was the case in the countries they fled. In health care if you want to see a specialist or something else, or in other ways do something different than is done for others, you are entitled to do that if you can afford it and if you can find a provider to do it for you. You can use plastic surgery to make your appearance better if you “contribute enough to the economy” to pay for it. Said another way, free choice permits person- to-person variation in patient care — something quite fundamental in our health system and our economic system in general.
Entitlement is strongly protected here, and the medical profession and others have wired it into policy. Anything that smells like making policy in order to maximize the total health of the people is verboten. Years back, on several occasions we put 100s of millions of dollars into developing scientific medical guidelines, even created new federal agencies to manage the process, but it never got done at any level, including individual facilities and plans that got grants to do it. It was essentially not something that organized medicine wanted, ever. It smelled like a rat, the kind of barriers to individualism that was imagined and labeled as ‘socialized’ medicine.
More recently in the ACA, we created the Patient Care Research Institute to do studies of costs and benefits of promising medical interventions and other things. But, the same law actively prohibits the work of the agency and the persons using the funds to utilize metrics like “quality adjusted life years”, which is the metric economists use when they compare the cost effectiveness across medical procedures or across drugs. This is the tool, developed at HSPH, to allow comparisons that might show that we are spending far too much on some intervention, and the health of the people would be far better if we took that money and spent it on prenatal care for poor new moms in Mississippi. This is, of course, how PHM budget allocation thinking would work to maximize health for a pool of enrollees with a fixed budget. This is how Oregon runs its coverage rules for the Medicaid program. This is not the way “patient entitlement” and “physician autonomy” work in our traditional health care system.
So, the tension between the way a manager might best manage a fixed budget, full risk health care organization —- and the notion of how providers (and their patients) have done things in the past are in direct philosophical conflict. While Republicans have long wanted Medicare to become privatized by requiring beneficiaries to all enroll in AHPs, this is not the vision of the medical and hospital groups because it would bring standard plan coverage, medical guidelines, and wellness incentives that keep people out of hospitals—- as manager assume command and as FFS and individualism of provider and patients die. We live in interesting times.
For Organizations at Risk, What tools are being Used in PHM
1. Integrated Primary Care
Integrating primary care to include behavioral health services is now viewed as very important to save money and improve health. The evidence is clear that (1) the U.S. population is vastly underserved in treating mental health issues, which are the #1 source of disease burden in the country, (2) this unmet need, is also a source of higher-than-necessary costs of dealing with physical health issues, particularly for common chronic illnesses like diabetes and health disease. and (3) bringing together basic mental health services into primary care practices is a way of increasing access to needed behavioral service treatments.
The current situation for the poor way mental health needs have been is characterized by
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Mental health & other Brain conditions is the single largest source of disease burden in U.S. yet just 6-7% of system spending.
burden
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Most of the persons with disease are untreated
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Prisons are now the largest source of housing & treatment for persons with serious mental illness
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Even the less severe behavioral problems pose a very significant comorbidity to chronic physical ailments, adding huge cost burdens
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The ACA took steps to integrate MH with primary care, still very incomplete and underinsured
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Science of MH is advancing fast, but that was the promise in the late 1950s too
The gravity of the situation of opportunities for improving accessibility of behavioral care is illustrated here. The chart illustrates the vast unmet need for behavioral care in America. And, it also illustrates the large cost burden this comorbidity imposes on other physical ailments.
Presentation9
The idea of integrating behavioral with traditional primary care is that it encourages quicker access to needed behavioral care, couples behavioral care with the most common access point in the health care system, eliminates some of the stigma barriers to accessing and continuing to use.behavioral care services,
There are many forms of “integration” in practice. I simple illustration of three levels of integration is shown here:
Presentation10
The concept of Integrating behavioral health services with primary care into a “standard and highly integrated form” was a feature of the ACA, called a “medical home”. Many other , less integrated forms of putting mental health together with traditional primary care exist, and are described in the literature. Most claim to be effective in improving mental illness and related functioning, and saving costs (mainly by preventing hospital stays for the mental condition or for the comorbid physical problems).
This pattern of impacts, while favorable for the health system, will be a cost effective investment for the primary care organization only to the extent they can recover the “savings” from the reduction in hospital costs. A capitation model of payment ensures that this is a possibility for the organization. Unfortunately, without more prevalent use of this payment morel, there will not likely be high penetration of integrated primary care.
2. Patient Engagement
Patient engagement is a key tool for management of the cost-quality tradeoff in health systems. The idea is, once again, active (rather than passive) management in order to maintain control of costs, and quality and how resources are getting dedicated. We know that patients, and the choices they make are key to wellness. Here is a list of risk factors for the burden of disease in the U.S.
riskfactors
Instead of helping stay well, lots of patients are doing things that are directly contrary to provider advice, or failing to get help from those providers: These things cost the system money. These are opportunities for “re-engaging patients” to recover those costs:
people taking risks
Engagement is figuring out which patients, and their situation, are posing a financial risk to the organization —- and then making a patient specific plan for doing something about it to keep the patient from having expensive exacerbations of their illness. So, step 1 is figuring out who these patient are. Step 2 is executing a plan for actively engaging the patient to prevent the exacerbation. This means doing something other than what providers usually do—which can be characterized as waiting for the patient to seek them out. This “passive” practice is the usual and customary approach in health care. But, waiting for some patients could sink the ship financially.
The CHF patients may be the easiest to think about, though there are others who encounter preventable admissions too. The CHF patient can have recurring problems of diet control (eg salt) that often lead to water retention and cardiac insufficiency. There may be several dozen of such people in a large plan. Programs tailored to the individuals can be designed to educate, train informal caregivers, home visit monitoring, technological monitoring and other interventions can be used. This sort of “custom” patient engagement for high risk populations can potentially yield a measure of control on high cost patients.The CHF patients may be the easiest to think about, though there are others who encounter preventable admissions too. The CHF patient can have recurring problems of diet control (eg salt) that often lead to water retention and cardiac insufficiency. There may be several dozen of such people in a large plan. Programs tailored to the individuals can be designed to educate, train informal caregivers, home visit monitoring, technological monitoring and other interventions can be used. This sort of “custom” patient engagement for high risk populations can potentially yield a measure of control on high cost patients
Here is a chart showing that patient behaviors are driving about 1/2 the health system costs.
Half the costs
So, what can be done to “engage the patient” and fend off the activities and behavior that will land them back in the hospital again? Well, the plan will depend on the patient, on their living arrangements, on their behavior. I always think of my diabetic grandfather with CHF — back and forth to the ER a couple times a year when he passed out for reasons of cardiac insufficiency. Why did this happen— eating too many potato chips while glued to the ball games on TV. So, how to prevent those preventable $20,000- 40,000 trips to the hospital several times a year? Well, they never did back then. Now, the best places might single him out, along with 50 others, as targets for the engagement program. They would have a case manager visit the home with a dietician and make a plan with the family. The case manager might call the house every week or so to check the patient. They might have a visiting home aid stop buy once a week. They might give hime a scale that transmits (telemetry) weight twice a day to the case manager’s office. They might get him (or his daughter) to start using the EHR portal to check on specific advice for CHF patients — and to start scheduling his exams and tests–and getting results.
So, what does engagement generally involve? I put a framework of topics/interventions together.
- Patient experience Improvement activities by providers (advice of providers is more likely to be followed if they have patient’s trust & confidence)
- Active patient learning – portals, others (learning about disease, behavior, testing)
- Patient giving Feedback
- Care Planning participation
- Patient Use of portals– for scheduling, ordering, monitoring test results, etc
- Outbound media programs (messaging, prompts, reminders to comply with orders, meds)
- Two way telemetry-media programs (telemetry, passive data capture, outbound messaging, prompts, reminders)
- Participation in Wellness Promotion (Exercise, wellness, nutrition, surgical rehabilitation
- Direct provider communication
All of these tools are supported by target group identification, big data, monitoring, and personal tailoring of the intervention
Engagement means spending money to save money. It also means being proactive, rather than just waiting. And, the idea of actively trying to keep people out of hospitals is not necessarily a core competency of hospitals! This will be a challenge, but with ‘capitation” type risks it will become a financial incentive to figure out who these high risk people are, and what needs doing in order to keep their use of the hospital to a minimum.
Medication adherence and Patient Engagement.
An area of engagement that looks very promising is promoting medication adherence. Guestimates suggest that up to 10% of health care spending is unnecessary due to poor patient compliance with prescribed medication. Messaging by providers to take medication via smart phones or beepers might help. The potential returns are huge– but the slow uptake on opportunities like this may be the result of the inability of pharmacies or provider organizations to recoup the savings that are generated.
The savings from this kind of engagement intervention would primarily reduced hospital stays. Yes, a capitated provider would be able to recoup investments in such a program of prompting and intervention. Of course, an insurer could also recoup such benefits. Voila, Aetna buys CVS! Would be nice to sell insurance at a price 10% or more below competitors!
3. End of Life Integration & Patient Engagement to Avoid Spending on Unwanted Care
Providers are increasingly engaged with patients to plan for end of life care prior to the onset of terminal illnesses. This follows a trend in social attitudes about dying.
changing attitudes
End of life care is a big part of the cost and quality problems with the health system in america. Nobody should pretend that they don’t need to understand this stuff because they work in one setting or another, or in insurance or whatever. It is a huge mess. The preferences of patients about EOL care are sharply different than care patterns would suggest:
frontline facts
More Frontline Facts
Several key points about EOL patient engagement:
1. much of our health spending in this country occurs in the run up to death, and much of the care (surgical procedures, ICU use) is not wanted by the patient. Its not only expensive, but shouldn’t be happening. Other countries have more control over this spending. There are many reasons for our unwillingness to try to help patients avoid heroic and uncomfortable deaths.
2. providers are notoriously aggressive in their preferences, and have historically been reluctant to refer to hospice—– now we have a new medical specialty “Palliative Care” , to which the patient can be referred for compassionate and comfort care. I personally don’t get it. Why shouldn’t every other specialty provide “compassionate and comfort” care?
3. the key to getting the patient wishes into practice is doing a plan (ahead of time, before the end is in sight). Lots of non profits set up templates for the family to pull a plan together, with the help of a counselor, or provider. That effort of doing plans (see 5 Wishes and other sites).was useful but coverage was not as good as it needed to be. The issue has become mainly about having the “conversation” with the elderly person, guided by the template to get answers to preferences. Recently, Medicare approved payment to physicians for having the “conversation” with patient.
4. Late in the game, the medical community decided to have their own template— the MOLST or POLST template— something that can be promoted by physicians to take control over an area of life they never cared about before. These POLST/MOLST are signed by the doctor too (and are to be treated as “doctor’s orders”. This is not bad. But, late to the party.
5. Evidence is strong that engagement of the patient, doing a plan, alters patterns of care for the end of life episode. This generally means less hospital-based death episodes, less use of ICUs, and less health care spending.
4. Improving the Patient Experience
Reforms in many institutions and health plans have prioritized quality improvement in the forms of “improving the patient experience”. Much of this reform has, in recent years, been incentivized by Medicare bonusing based on CAHPs patient survey results, mandated by Medicare. But, this priority for quality improvement has also been variously adopted by organizations as part of competitive, state mandate (like Rhode Island in 1996/1998), and to serve accreditation needs.
The case for improving the experience is supported now for improving HEALTH and for IMPROVING FINANCIAL SITUATION OF THE PROVIDER. To quote from AHRQ , Why Improve the Patient Experience, !2/2018:
“Improving patient experience has value to patients and families and is therefore an important outcome in its own right. But good patient experience also is associated with important clinical processes and outcomes. For example:
- At both the practice and individual provider levels, patient experience positively correlates to processes of care for both prevention and disease management.1 For example, diabetic patients demonstrate greater self-management skills and quality of life when they report positive interactions with their providers.2
- Patients’ experiences with care, particularly communication with providers, correlate with adherence to medical advice and treatment plans.3-6This is especially true among patients with chronic conditions, where a strong commitment from patients to work with their providers is essential for achieving positive results.7
- Patients with better care experiences often have better health outcomes.8, 9 For example, studies of patients hospitalized for heart attack showed that patients with more positive reports about their experiences with care had better health outcomes a year after discharge”.10, 11
Patient experience is correlated with key financial indicators, making it good for business as well as for patients. For example:
- Good patient experience is associated with lower medical malpractice risk.12, 13A 2009 study found that for each drop in patient-reported scores along a five-step scale of “very good” to “very poor,” the likelihood of a provider being named in a malpractice suit increased by 21.7 percent.14
- Efforts to improve patient experience also result in greater employee satisfaction, reducing turnover. Improving the experience of patients and families requires improving work processes and systems that enable clinicians and staff to provide more effective care. A focused endeavor to improve patient experience at one hospital resulted in a 4.7 percent reduction in employee turnover.15
- Patients keep or change providers based upon experience. Relationship quality is a major predictor of patient loyalty; one study found patients reporting the poorest-quality relationships with their physicians were three times more likely to voluntarily leave the physician’s practice than patients with the highest-quality relationships.16
We shouldn’t believe that this notion of the patient experience, and surveys of discharged patients began with government action, or the ACA or value purchasing initiatives. Press-Ganey, other survey firms, and some community health organizations were doing exit surveys or post discharge follow up surveys for health care organizations for a long time. Some of this was supported by accreditation needs, some by state requirements (eg RI 1998), but much by the fact that before DRGs in hospitals, costs were reimbursable, and there really wasnt a barrier to doing it, and getting good ,fully reimbursable information.
The importance of convenience (a patient priority) is an important aspect of the “patient experience”. As with retailing, there is a “disruptive force working in health care delivery around the economics of time– with the interjection of more convenient business models. It would be worth spending a LOT of time to understand more, but it is very clear that the number of health facilities seems to have grown substantially , spreading their accessibility more broadly across the suburbs and urban areas of America. Urgent care, ambulatory care, emergency facilities, high end quick access to ‘pavilion patients” and “concierge” care, and co-located walk-in-care by n. practitioners. While policy issues still abound for all of this proliferation (mainly how to to set payment rates) it has been a competitive response by providers to the consumer’s demand for more timely service.The tele health stuff is something that could cause the convenience dam to really break, but Medicare has been reluctant to move to encourage it (for cost reasons). The MedPAC write up the last few years has discouraged more generous payment for tele services for Medicare. This past year there was push back from the commission on that finding, but the staff prevailed. But, it will come eventually. (staff would love to have more broadly bundled services, if not capitation— which would allow providers to be as aggressive as they want about use of tele health services, but it would be on the provider’s nickel, not the trust fund).
Information abounds on the internet that helps patients shop for places that are rated better for “quality” and “better patient experience”. There are lots of web sites and apps providing information for searching consumers about health services choices: There are many types of sites (1) ones providing direct feedback from post discharge surveys of patients like CAHPs, (2) ratings by experts derived from various data sources and expert opinions, (3) unsolicited reviews by customers (eg Yelp type sites), and (4) combination of methods (Medicare Compare sites are a mix of 1 & 2). I could have showed you guys the “simmons Site we built a few years ago with donor money (at her request) aimed at a niche of the feedback market — getting feedback of the yelp type from poor people and Medicaid enrollees about government health services and providers who service the poor— The web site was built, and tested, but was not supported by Simmons legal types because of the “risk” to Simmons of passing along negative or positive commentary. This “feedback” and web based information to consumers and whats going on could be an entire course.
Barriers are many. Momentum or tradition is the biggest one. Without full , aggressive support of leadership it will just be a tepid, compliance -centered activity to do what must be done. Most leaders talk about it more than they actually do to really set the bar higher for their organization. South Shore Hospital is different. I think it is almost impossible to do this in teaching hospitals, though the Cleveland clinic seems to have been successful.
Susan Romano for SSH offers another major barrier to initiating suitable concern about the patient’s experience. Providers often see a mistaken concept of the “experience”. They often see the “visit” or “encounter” as the object of improvement. This is a myopic view of the patient’s encounter with the provider. The two slides here show the patient’s experience with the organization they visit for a “visit” with a provider. The second slide shows the Provider’s view of the encounter the patient has. “not being on the same page” as the patient is evident here often leads to issues about confusion and disagreement about what is important, and what the program needs to be to improve the patient’s experience.
Finally, research shows that many institutions are better situated to take on aggressive programs to improve the patient experience than others. Interviewees at leading institutions that have been effective in improving the patient’s experience reported that the main barriers of improving the patient experience were, in the words of Luxford, et al:
“(1) the need to change the entire organizational culture from a ‘provider-focus’ to a ‘patient-focus and (2) the length of time it takes to do this transition
The main facilitating factors to changing the culture are:
(i)strong, committed senior leadership,
(ii)clear communication of strategic vision,
(iii)active engagement of patient and families throughout the institution,
(iv)sustained focus on staff satisfaction,
(v)active measurement and feedback reporting of patient experiences,
(vi)adequate resourcing of care delivery redesign,
(vii) staff capacity building,
(viii) account- ability and incentives and
(ix)a culture strongly supportive of change and learning”.
taken from Luxford, Safran, & Delbanco, Promoting Patient Centered Care; International Journal for Quality in Health Care 2011; Volume 23, Number 5: pp. 510–515
5. Big Data, and Big Data Analytics
Big data is going to be transformational in health care. The use of Electronic Health Records (EHR) and other data to help understand how to best focus health products and services, and to help understand what is working and what isnt, are going to improve getting the most “bang for the buck” by health care managers.
Progress has been very limited to date, and the slow uptake of capitation payment in has no doubt slowed the willingness of organizations to invest in a bewildering and array of confusing technologies. IBM Watson one of the largest big data vendors, for example, announced today (6/18/2018 Globe) that they were downsizing their “Big Data health practice” because they had lost customers, and their recent acquisition of Truven Analytics and others were not paying off in terms of new products.
To me, “big data analytics” means two things.
- It means that health care organizations are now able to use more data than previously was available— standardized and digitized medical record data (as contrasted with manual charts) as well as claims, billing and eligibility data, which are also patient and provider specific.
- Secondly, “big data” mans that managers are facing new circumstances that predispose them to make use of these data to better allocate and control resource use, quality of care, risk, and organizational sustainability. Having the data and having cause to want to use it are indeed two very separate things.
- What do they want big data to do? Mainly, they want to to develop algorithms (predictive analytics) that can be used with big data to predict how Mrs. Jones is going to respond to 3 possible treatments, and help the doctor decide which to recommend. And, they want to to algorithms that tell the organization how best to keep Mr. Smith, and all other CHF patients out of the hospital ( should we be visiting him at home, should we be sending him dietary reminders by mail/text, should we be paying for a home health aid every day?).
Many consulting organizations are trying to sell themselves by pressing the point that “big data” poses a situation full of highly sophisticated analytics, cloud based data management, artificial intelligence, and special software applications—-all well beyond most senior management teams— but well within the scope of practice of the consulting company! Hire us, and we’ll get you successfully into the world of “big data”.
The current situation is:
- Providers spend only about 2-4% on IT, and probably not very much of that is being spent on Big Data Analytics. Health care is notoriously under spending relation the importance of IT in other industries.
- Hospitals also indicate through their overall budgeting priorities that health IT is worth the investment; inadequate funding is not what limits most hospitals in getting tech projects funded. Rather, it is competing priorities for that funding. Nearly three-quarters — 73 percent — of hospitals reported this was an obstacle they are facing to acquiring technologyIt means that health care organizations are now able to access or generate more data than previously was available— standardized and digitized medical record data (as contrasted with manual charts) as well as claims, billing and eligibility data, fitbit data, and even home/environment sensor data.
- “big data” means that HCO managers are facing new circumstances that predispose them to make use of these data to better allocate and control resource use, quality of care, risk, and organizational sustainability. Having the data and having cause to want to use it are indeed two very separate things.
- Bringing copious amounts of data into use is largely a matter of having software and data standards, and analytic methods of drawing conclusions in real time about how to deal with a situation (patient problem, or management problem)
- Fourth, it is a big opportunity to sell new services to HCOs, by convincing them that they need something that they don’t have skills to do for themselves
It seems that consultants are “selling” the idea that if managers employ big data properly, they will be able to continue to manage with a lite touch, just like the good old days. If only managers could keep taking long lunches, and let Watson and “big data” manage clinical operations and ensure solvency and competitiveness ! Yes, data is going to help in significant ways– but, we are hundreds of years away from the point where algorithms can run health care organizations (my prediction). Indeed, I think we are entering the generation of “managing clinical operations more firmly” than ever before (management is going replace doctor autonomy), and “big data” analysis will allow some key things to happen that couldn’t easily happen before.
- Big data (more data and better analytic use of it) is going to permit managers in HC organizations to gain control over performance in ways that were never possible before. It is not about magical apps, that allow will inexperienced and ill equipped people become the masters of the EHR data. Forget it. It is about creating special data analytic shops inside organizations that can exploit the power of data and analytics to measure, and control the performance of the organization. It will change what managers have control over, how they operate, and it will shift the balance of power in organizations away from doctors. Management of health care will be more like managing in other organizations.
- Managers will be able to manage disease, care, and health better—and will have more control over it by making business policy about how these things work. They have almost no control over these things now. To manage they will use big data to define patient risk groups, and allocate staff to “manage the care” of patients within risk category. If things dont work so well, managers will take notice, take responsibility, and fix the problem. eg they will manage it.
- Managers will begin to manage patients, and their access to the system including helping patients to keep themselves healthy. All of these patient engagement activities (scheduling, outbound messaging, alerts, reminders, etc.) will be supported by big data. Rather than being passive to patient initiated care, managers are going to be enabled to to get the organization to be more proactive in helping the patient stay healthy.
- Managers will be able to manage performance better than before. Big data will enable better performance measures, development of benchmarks, real time monitoring of performance, and analytic drill down methods that allow the “drivers” of poor performance to be identified, and fixed. Tolerance of performance variations among business units, across providers, and over time will be removed— all variations will be noted quickly, and will be seen as opportunities for performance improvement. And, with more knowledge of underlying causal factors, and less tolerance for performance variations, managers will be able to take steps to change business process to bring performance to a higher level.
- Managers will have more power to control the behavior of clinicians in the organization. Data and analytic shops inside the organization(reporting to managers) will level the asymmetric playing field, and the control enjoyed by doctors. Data will permit managers to have a new window and will gain deep understanding of care process patterns, relationships of process to organizational performance, and will generally remove the “mystery” of these things controlled by physicians. Probably physician incomes will suffer and certainly their autonomy, as managers assume full command over operations, enabled by the data and analytics needed to understand operations– as the CEOs do of other complicated businesses. Like the Gawande cheesecake factory-http://www.newyorker.com/magazine/2012/08/13/big-med
Many high tech activities are being marketed to health care organizations. But not a lot is being sold to date. But, all the vendors (from IBM-Watson, down to most EHR and IT vendors, to many start up AI and big data analytic shops have been trying hard tell Big Data Analytics to health clients, but to data the sales have not been that successful. The analytic pathway or maturity path of big data analytics looks like:
Presentation8
Some of the kinds of “business problems” that health care organizations “need” to solve with data and analytics include things like:
- Give Management program evaluation data to make better programmatic decisions about what is working, and what is not
- Identify the clinicians who are are most effective so that provider bonusing programs can be devised to reward performance
- Identify the future spending of groups of enrollees in order to prioritize those to “engage” for programming to better control HH behavior. (predictive analytics)
- Understand the likely impacts of 2 alternative courses of treatment for one patient (prescriptive analytics)
- How can I tailor the most effective messaging & reminders & media for delivering them to change the behavior of an engaged group or to an individual patient (machine learning prescriptive analytics)
- How can we control the way clinicans quickly and accurately assess, decide, and treat their patients? Is this to be done best via clinical support tools and maybe even AI ?
Much of this isnt rocket science, but consultant vendors are pressing for a Y2K scare tactic to cause health care organizations to start spending . The terms being used to “sell” big data analytics include concepts like “predictive analytics”, “machine learning, “prescriptive analytics”, and other labels that confuse clients. Much of it boils down to “modeling” of one sort or the other. Predictive analytics encompasses a variety of statistical techniques from predictive modelling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events.[1][2]
In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions.[3]
The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detection, manufacturing, healthcare, and government operations including law enforcement.
1.Future spending of individual (HSS, risk)
2.Likelihood of error in a submitted bill
3.Likelihood of patient making the appointment
4.Likelihood of treatment plan being successful
5.Credit risk (likelihood of paying the bill or making mortgage payments)
6.Difference in likelihood of AIC for a Type 2 diabetic being <7 in 3 months if Victoza is added to the med list
The implementation of Integrated Primary Care may need to have a framework of patient types, or buckets, to guide the team and care planning processes. While, ideally, the care team and plan is highly personalized, that may be too complicated.
A “patient risk” grouping like this could be based on an initial and ongoing assessment. Each of the 54 groups would be assigned a basic care team configuration, and a care plan template — which of course would need to be modified based on the peculiarities of the person. The kinds of patient engagement activities could also be included in the template for each group.
More sophisticated groupings by Deloitte are based on survey data of patients, aiming to incorporate behavioral categories, and may be useful in predicting adherence behaviors. The 6 patient groups are:
DELOITTE
D. New Directions and Disruptions
Disruptive innovation in health care delivery is in the works. Never was an industry more prone to huge disruption in business models than this one: a huge target as 18% of the economy, highly customer unfriendly come-to-us model of service, and massive over pricing .
It now seems likely that the world 20 years hence will be different in important ways and some disruptive things will be happening (like Uber but for health care), largely aimed at using technology (rather than professional services) and allowing the patient to stay at home (not travel to a place where the provider is located).Some changes we will see
- Capitation (and partial cap) will be the way big integrated organizations will be paid for doing everything, as needed: expensive testing, procedures, sub acute care, specialist services, Urgent/emergency care, and IP room and board—-and managing their own financial risk by trying to keep every enrollee healthy (well).This will be a more difficult organization to manage, particularly to get control over clinical operations (and use guidelines of practice rather than physician autonomy). Managers will be more critical in sustaining these larger, vertically integrated organization. And keeping patients well and out of hospitals will be key to financial survival.
- Technology Company invasion—- the 1/6th of the economy is a huge opportunity for market entry and disruption, particularly in areas amenable to technology, two clear invasions will happen (the second one is #3 below)— screened financial transactions, and drugs–Amazon is a firm specializing in transaction execution. They, and others will come to dominate these parts of health care: Insurance is a bunch of transactions. They will disappear when forced to compete with smart transactions management like Amazon, maybe Apple, Google, whoever. Amazon is also getting into drugs— which looks like everything else they already sell; an on line transaction, and quick delivery.
- PCP operations —- technology mastery will matter more in bringing proven solutions to people than scientific pedigree of practitioners and still health care organizations dont get it yet! This is going to have several consequences
- there will be software for home computers (or smart phones) that passively keep and update patient history and critical measures from fitbit like monitoring devices — and can collect data on symptoms whenever the patient wants to enter data— for all practical purposes this software (web-wired to a mega computer somewhere with all the patient medical record data, all scientific literature and all the evidence on effectiveness and cost effectiveness) will be the PCP. It will process the data, provide alerts, and recommended options, along with prices and expected outcomes.
- yes there will be PCPs, but we wont need as many of them. The “smarts” that require a dozen years of school/application to accumulate in a human being, will be simply internalized in software. And these firms will employ academic and branded health partners, along with expert panels of professionals to guide software development and interpretation of evidence. No doubt, competing software products will form. And there will be forms selling “second opinions” (as there are now) for anyone who wants to talk to an advisor (and upload data). I personally saw a prototype of interactive patient software. it didnt have any data feed, of course, but it walked the “survey” through the logical set of questions and branches, to develop some options for proceeding with your “problem”.
- as part of the home care, testing will move to home based telemetry “analyzers” that can use blood, urine, hair, other easy to harvest cells—-again, way more convenient that driving to the hospital
- social media data and wellness– keeping populations well is not something that the health industry has competence to do. (nor an interest in doing, except as trying cure problems has a big revenue stream attached). Much as using social media messaging to get people to vote for Trump, so too can tailored messaging be used to get people to make healthier choices about their lifestyle (eating, risk taking, habits like smoking, drinking, etc.) and to improve their care seeking choices too.
- nutrition integration— into healthcare. now “meal planning” for institutionalized patients is about the only use for nutritionists in health care. They are the only group that is well trained about the number one health risk in the burden of disease in america— dietary intake. Yet they, as professionals, are marginalized. There will be companies arising that develop learning tools for patients (videos showing healthy meal prep) and in-home training too. These services will be used by at risk providers to help produce wellness in their enrollees.
9. drugs will be regulated differently— the FDA will get authority to regulate prices of new drugs. Ideally, they would also get the authority to prohibit advertising and prohibit such companies from paying practicing physicians to do research on such drugs, or to advocate for new drugs. Drug companies violating these ethical boundaries would lose their patent. Ideally, doctors violating these boundaries would lose their license to practice. This whole system is corrupt and needs fixing.
10. Home-based Frail elder care — this is a huge problem for families, and for taxpayers— as persons too limited in their ability to conduct Activities of Daily Living (ADLs like dressing, bathing, toileting, etc) do Instrumental Activities of Daily Living (IADLs– like shopping, managing finances, housekeeping). When 2+ ADL issues arise along with some IADL people are technically qualified for nursing home placement. But usually they dont want to go and they are priced at $400 a day or more. Options for a part time or full time home aide are difficult to obtain, and very expensive. Often, families are force to “spend down” all assets, and enroll in Medicaid– who will pay for nursing home placement (and charge the patient half of their social security income). This industry will probably develop some new companies that sell services to keep patients at home. Probably based on healthy meal prep/delivery, home health aids, and AV technology. A combination of service (eg a one stop shop for families) for a fixed price per month (say $500) with some add-on things that most people dont need. This and other services could be expansion possibilities for home health agencies, but they are pretty focused on traditional health care services that are paid by Medicare.
citations for the patient experience section are here
1.Sequist TD, Schneider EC, Anastario M, et al. Quality monitoring of physicians: Linking patients’ experiences of care to clinical quality and outcomes. J Gen Intern Med 2008;23(11):1784–90
2.Greenfield S, Kaplan HS, Ware JE Jr, et al. Patients’ participation in medical care: Effects on blood sugar control and quality of life in diabetes. J Gen Intern Med1988;3:448-57.
3.DiMatteo, MR. Enhancing patient adherence to medical recommendations. JAMA 1994;271(1):79-83.
4.DiMatteo MR, Sherbourne CD, Hays RD, et al. Physicians’ characteristics influence patients’ adherence to medical treatment: Results from the Medical Outcomes Study. Health Psychol 1993;12(2):93-102.
5.Safran DG, Taira DA, Rogers WH, et al. Linking primary care performance to outcomes of care. J Fam Pract1998;47(3):213-20.
6.Zolnierek KB, Dimatteo MR. Physician communication and patient adherence to treatment: A meta-analysis. Med Care 2009;47(8):826-834.
7.Beach MC, Keruly J, Moore RD. Is the quality of the patient-provider relationship associated with better adherence and health outcomes for patients with HIV? J Gen Intern Med 2006;21(6):661-
8.Greenfield S, Kaplan S, Ware JE Jr. Expanding patient involvement in care: effects on patient outcomes. Ann Intern Med 1985;102(4):520-8.
9..Stewart MA. Effective physician-patient communication and health outcomes: A review. CMAJ1995;152(9):1423-33.
10.Fremont AM, Clearly PD, Hargraves JL, et al. Patient-centered processes of care and long-term outcomes of acute myocardial infarction. J Gen Intern Med 2001;14:800-8.
11.Meterko M, Wright S, Lin H, et al. Mortality among patients with acute myocardial infarction: The influences of patient-centered care and evidence-based medicine. Health Serv Res 2010 Oct;45(5):1188-204
12. Levinson W, Roter DL, Mullooly JP, et al. Physician-patient communication: The relationship with malpractice claims among primary care physicians and surgeons. JAMA 1997;277:553-9.
13.Hickson GBC, Clayton EW, Entman SS, et al. Obstetricians’ prior malpractice experience and patients’ satisfaction with care. JAMA 1994;272:1583-7.
14.Fullam F, Garman AN, Johnson TJ, et al. The use of patient satisfaction surveys and alternate coding procedures to predict malpractice risk. Med Care 2009 May;47(5):1-7.
15.Rave N, Geyer M, Reeder B, et al. Radical systems change: Innovative strategies to improve patient satisfaction. J Ambul Care Manage 2003;26(2):159-74.
16.Safran DG, Montgomery JE, Chang H, et al. Switching doctors: Predictors of voluntary disenrollment from a primary physician’s practice. J Fam Pract 2001;50(2):130-6.