Care That Fits Blog

Patient explicit consideration of tradeoffs: a Values Clarification Method

Submitted by Arwen H. Pieterse

In oncology, as in other healthcare settings, shared decision making (SDM) is increasingly advocated when more than one treatment strategy is available. However, we previously found that cancer patient treatment preferences are often left undiscussed, and that patients are hardly involved in treatment decision making.  If patients are unclear about their preferences, or if these preferences are left unspoken, patients may not receive the treatment that fits them best.

Values clarification methods (VCMs) have been developed to support patients in weighing treatment benefits and harms and harms and to help them voice what matters most to them We developed a stand-alone VCM that asks patients to make explicit trade-offs between treatment benefits and harms. This VCM is adaptive, in that it ensures that the trade-offs presented to patients are tailored to the preferences of the patient as revealed in the exercise so far.

We tested this VCM in patients newly-diagnosed with rectal cancer who were facing the decision whether or not to undergo short-course pre-operative radiotherapy. Radiotherapy increases the likelihood that the cancer will stay away at the initial site (i.e., local control), however, it also increases the likelihood of fecal incontinence and of sexual dysfunction. We hypothesized that the VCM would aid patients to become more confident on their preferences and to voice them more often during consultations, based on results among treated rectal cancer patients asked to consider the decision hypothetically. We expected that going through the VCM would lead to patients’ preferences to be more often integrated in treatment decisions, and that patients would experience less regret over the decision and would cope better with treatment harms.

Values clarification method

The online VCM was offered in advance of the first encounter of the patient with the radiation oncologist, a visit in which the treatment decision is usually made. The VCM started with lay explanations of the three outcomes (local control, fecal incontinence, and male or female sexual dysfunction), and stated that survival was the same across situations. It then asked patients to rate how important they considered differences between best and worst probabilities of outcomes, that varied within a clinically realistic range (see print screens). Next, the VCM asked patients to indicate their preference for pairs of outcomes, where outcome probabilities differed in each pair. The final page of the VCM showed the patient’s relative importance for the three outcomes in percentages. It did not show which treatment should suit the patient best, as it was meant to support patients in considering the options and they still were to meet with their radiation oncologist.

Patients were initially randomized to be offered the VCM or not. Later on in the study, we offered the VCM to all patients due to practical difficulties and low recruitment rates. We compared the outcomes in patients who agreed to receive the link to the VCM versus those who did not receive the link.

Findings

Of the 135 patients who had their consultation audiotaped and completed questionnaires, 35 received and accessed the VCM-link. Patients in the VCM-group slightly more often expressed their views on treatment and treatment outcomes than the patients who had not, although such utterances were still uncommon. This points to very limited discussion between patients and clinicians on how patients consider benefit-harm trade-offs. This may further explain why the questionnaire data showed that patients in the VCM-group did not differ in how clear their values were.

An important finding is that patients who completed the VCM felt less regret over the treatment decision at follow-up, and experienced less impact of faecal incontinence and sexual dysfunction six months after treatment. As hypothesized, explicitly considering trade-offs may have helped patients to better understand the pros and cons involved, and supported them to live with the consequences later on. Of note, the radiation oncologists in this study reported that almost all decisions had been made before the consultation, either by the referring physician or by the tumour board, without input from the patient. Patients clearly lacked room to contribute.

Conclusion

This is the first study to assess the effect of an adaptive conjoint analysis-based VCM on actual patient-clinician communication, and long-term decision regret and impact of treatment harms. Decisions to undergo short-course preoperative radiotherapy in rectal cancer had in almost all cases been made prior to the consultation, without patient input. The VCM hardly could affect final decisions in this setting. Even so, our results suggest a favourable effect of being explicitly invited to think about benefits and harms of treatment on the extent to which patients endorse treatment decisions and can live with treatment consequences.

The full paper was published in Acta Oncologica and can be found here (open access).

This study was made possible by a grant from the Dutch Cancer Society (UL2009-4431).

Arwen H. Pieterse is associate professor in medical decision making at the Leiden University Medical Center, the Netherlands. She studied Cognitive Psychology and graduated (cum laude) in 1998. She obtained her PhD in 2005. She was Research fellow of the Dutch Cancer Society (2008-2011). She published well over 50 international peer-reviewed articles on patient-physician communication, patient and physician treatment preferences, patient-physician (shared) decision making, and psychometric properties of measurement instruments. Based on her research, she co-developed e-learnings to teach shared decision making skills to medical students and clinicians. She received the 2018 Jozien Bensing award from the International Association on Communication in Healthcare (EACH), granted biennially to early-career researchers.

She is Associate editor of Patient Education and Counseling since 2017. She was the scientific co-chair of the 2018 European meeting of the Society of Medical Decision Making. She chairs the EACH standing committee on research since 2018 and is the co-chair of the upcoming EACH Forum, September 16-18 2019, Leiden, the Netherlands.

Trust and shared decision making

By Victor Montori

At the beginning of our research journey into shared decision making (SDM), we thought that fostering collaboration between patients and clinicians would promote their partnership and advance mutual trust. Yet, in this trial reported in 2008, we only measured patient trust in the clinician, and we found that disclosing uncertainty (as the intervention required) did not reduce trust in the clinician and may have even improved it despite the measure’s ceiling effect. To my knowledge, we have not measured this outcome in our trials of SDM intervention since then.

Four years earlier, when that trial was being planned, Entwistle reflected on studies that strongly suggested that trust, as a bridge between protective barriers, could favor shared decision making, and shared decision making could result in greater trust in treatment plans. This view was supported by clinicians interviewed by Charles and colleagues. That patients who trust their clinician may be comfortable taking a passive role in following treatment plans their clinician recommends, was substantiated in a report of a survey of Canadian patients that year.

Four years after our publications, in 2012, Peak and colleagues noted a bidirectional relationship between trust and SDM. In focus groups comprised of African American persons living with diabetes, participants reported how clinician efforts to engage them in shared decision making may promote trust, how their own trust in the physician may facilitate their participation in SDM, and how race (including aspects of implicit bias and cultural discordance) can affect both.

And this month, Academic Medicine publishes an important essay by Wheelock, a second year internal medicine resident in Boston, in which she poignantly asks how might we develop relationships of trust needed for shared decision making as industrial healthcare destroys any vestige of continuity of care.

As we review the videos that are produced in the course of the conduct of our clinical trials of SDM interventions, I have noticed another angle in the relationship between trust and SDM, which, as far as I know, remains largely unexplored. We have caught clinicians, using SDM tools in a manner that reveals they simply do not trust their patients to wisely consider the issues and contribute to form care that fits their life situation. Instead, they seem to use the tools as a speaker would use PowerPoint, to build the case for a particular action, to argue in an uninterrupted monologue that concludes in a strong recommendation. It is clear that these clinicians have met these diseases before, but not the people who have them. Nonetheless, the encounter will finish, and the clinicians will know little about these people or their situation, satisfied that they got consent to proceed as they thought would be appropriate, perhaps even before entering the consultation.  It is as if their professional commitment to the welfare of their patients prevents them from running the risk of trusting the patient into the decision making process. They appear afraid that these patients may enter a conversation that may finish at an impasse, at a disagreement, or at a substandard plan. The issues discussed in the last two decades that applied mostly to patient trust in the clinician, may need to be explored in the opposite direction, with an eye on the harmful effect of industrial healthcare.

SDM researchers may therefore do well in considering clinician trust in the patient as a potential modifier – barrier or facilitator – of the collaborative work necessary to form programs of care that make sense and advance the situation of patients.

Universal Healthcare

Submitted by Paige Organick

As exemplified with Drew Calver1, the Texas high school teacher rushed to the hospital for life saving treatment after a heart attack in 2017, our current healthcare system is neither careful nor kind. From the hospital bed, he worried about affording his care, but was reassured his insurance would cover all expenses. Nonetheless, his initial bill totaled $108,951 after insurance, partly because his hospital was not in his employer’s insurance network.

Calver’s case demonstrates part of the high treatment workload patients undergo to afford their care. If they’re lucky enough to be insured, they must do a lot of cognitive work to figure out if their provider is in-network or not. After treatment, patients wage small and numerous battles with insurance to prevent bankruptcy by a bill magnitudes higher than those in similarly developed countries.

Due in part to a complicated patchwork of fragmented insurance and healthcare providers, administrative complexity has made the US the top spender on healthcare in the world with some of the lowest health outcomes. Americans, compared to similarly wealthy and developed countries, have a shorter life expectancy, higher rates of disease, the highest rate of infant mortality, and the lowest chance of making it beyond middle age2.

Universal Healthcare

Image from Peterson-Kaiser Health System Tracker

Some of these health outcomes could be improved through Senator Sanders’ proposed Medicare for All act, which would better prioritize preventative care measures. 49% of Americans have employer-insurance4, and as they move jobs their insurance changes, then once they hit 65 they move to Medicare. Insurance companies provide treatments rather than continual maintenance of overall health, passing the buck on to the next payer for incentivizing healthy living and preventative care programs. However, under a single-payer system, the government would be greatly incentivized to fund public health and preventative care measures, keeping the population healthier and in less need of healthcare, similar to other Western countries.

Medicare for All would decrease patient’s treatment workloads Under a single-payer system, Calver would not have needed to worry about being in the right hospital, or having the right doctor in the wrong hospital, in order to afford his care. And although Calver had a crushingly high bill, his bill would have been even higher without insurance, as the 29 million uninsured Americans would have faced. When care is this expensive and this administratively complex, navigating care becomes stressful, causing people to either avoid the doctor’s office altogether or to avoid routine care, only seeking care when they need hospitalization or expensive procedures.

However, Medicare for All won’t be a panacea for our healthcare system. Despite Medicare for All increasing access to care, it may restrict certain services and procedures. If 29 million more Americans suddenly accessed healthcare, there would be a shortage limiting access to certain services such as access to doctors and limited supplies of medications. Additionally, Medicare for All would only cover a contested list of “medically necessary” procedures. This list ranges from the obviously important, like breast cancer screenings, to colonoscopies. What it may not include is prescription drugs for fertility, weight loss, or potentially abortions, as they are so hotly contested right now. Calver’s procedure may have been unavailable due to medical shortages, or some aspects may not have been covered.

America is at a crossroads, and how we move forward reveals what we value in healthcare and the treatment of fellow citizens. Our current industrialized healthcare system benefits those with good insurance and who can afford care. These lucky patients enjoy some of the best diagnostic treatment and advanced procedures in the world. While Medicare for All would potentially limit access to some treatments, it overall would bring other benefits that emphasized overall population health, an arguably more careful and kind approach. The passage of Medicare for All would mark a massive shift in America’s values, evolving the rugged individualism America was founded on into making room for a more communal, equality based healthcare system.

1 “Life Threatening Heart Attack Leaves Teacher with $108,951 Bill”. NPR Morning Edition. https://www.npr.org/sections/health-shots/2018/08/27/640891882/life-threatening-heart-attack-leaves-teacher-with-108-951-bill

2 “For Americans Under 50, Stark Findings on Health”. Sabrina Tavernise. The New York Times. https://www.nytimes.com/2013/01/10/health/americans-under-50-fare-poorly-on-health-measures-new-report-says.html

3 “Mortality Rate, Infant (per 1,000 live births)”. The World Bank.  https://data.worldbank.org/indicator/SP.DYN.IMRT.IN

4 “Health Insurance Coverage of the Total Population”. Henry J Kaiser Family Foundation. https://www.kff.org/other/state-indicator/total-population/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D

The Proposed Affordable Drug Manufacturing Act

Submitted by Paige Organick
Illustrations by Kevin Shaw

Senator Warren and Representative Schakowsky introduced the Affordable Drug Manufacturing Act in December of 2018. This act would require Health and Human Services to publicly manufacture generic drugs if one of the following conditions are met:

Rx Bottle.png

  • Two or fewer companies produce the drug
  • There is a drug shortage
  • The price of a drug has created a barrier to patient access.

Should it pass, this bill would be consequential. Currently, 40% of generic medicines are made by just one drug maker. Monopolies like this contribute to soaring drug prices that exclude patients who fill nine out of every ten prescriptions with generics.1 By breaking the generics monopoly and promoting competition, the act’s intent is to improve the affordability of medicines for most patients, even those still under patent protection.

Out-of-pocket costs are important in making treatment decisions for at least 80% of patients.2 By addressing the financial burden of treatments, this bill could support what we at the KER Unit call “minimally disruptive medicine”. Faced with expensive medications, patients, especially those with multiple chronic conditions must choose between buying groceries, paying rent, and purchasing their medications. When they skip their medications, healthcare labels these patients as “noncompliant”. These “noncompliant” patients must then cope with preventable symptoms and complications, the care these require in turn and their costs, and the judgment often dished to them by those who blame them for not taking personal responsibility for their care.

This act, along with other proposals including the Preserve Access to Affordable Generics and Biosimilars Act, are unlikely to pass for many reasons, including the substantial campaign contributions that pharma makes to regulators.3 Yet, these initiatives may slowly erode the fabricated consensus that market forces alone can solve the problem of drug affordability, and re-energize the role that regulation can play in creating affordable healthcare.

1 Why pharma companies are bowing out of generics”. Dan Gorenstein. Marketplace on NPR. https://www.marketplace.org/2017/08/02/health-care/drug-prices-why-pharma-companies-are-bowing-out-generics

2 “Talking About Costs of Care During Shared Decision Making – Part One: The Problem”. Alan Balch. Journal of Clinical Pathways. https://www.journalofclinicalpathways.com/article/talking-about-costs-care-during-shared-decision-making-part-one-problem

3 “Database Details Drugmakers’ Contributions to Congress”. Emmarie Huetteman and Sydney Lupkin. CNN News. https://www.cnn.com/2018/10/25/health/drugmakers-congress-contributions-partner/index.html

Technical versus Humanistic Shared Decision Making revisited: Evaluating its occurrence

Submitted by Marleen Kunneman & Victor Montori

In an earlier post, we reflected on technically correct and humanistic shared decision making (SDM). In our view, it is unclear “whether having a technically correct structure of the SDM process improves the likelihood that the care decisions made will contribute to improve the patient situation.” We called to look beyond what is technically correct, to uncover humanistic SDM and caring conversations.

We recently published a systematic literature review in which we assessed the extent to which evaluations of SDM assess the extent and quality of humanistic communication, such as respect, compassion, and empathy. We looked for studies evaluating SDM in actual clinical decisions using validated SDM measures. We found 154 studies, of which only 14 (9%) made at least one statement on humanistic communication. This happened in framing the study (N=2), measuring impact (e.g., empathy, respect, interpersonal skills; N=9), as patients’ or clinicians’ accounts of SDM (N=2), in interpreting the study results (N=3), and in discussing implications of the study findings (N=3).

In addition, we looked whether the validated SDM measures used contained items on humanistic communication. The eleven SDM measures used contained a total of 192 items. Of these, only 7 (3.6%) assessed aspects of humanistic communication.

Our review shows that assessments of the quality of SDM focus narrowly on SDM technique and rarely assess humanistic aspects of the patient-clinician conversation. We conclude that considering SDM as merely a technique may reduce SDM’s patient-centeredness and undermine its contribution to patient care.

In evaluating technical SDM, we have measured with our eyes and our ears. Perhaps the fox from “The Little Prince” was on the right track when he noted: “It is only with the heart that one can see rightly; what is essential is invisible to the eye.”

The full paper was published in Patient Education and Counseling and can be found here.

This study was part of the Fostering Fit by Recognizing Opportunity STudy (FROST) program, and has been made possible by a Mapping the Landscape, Journeying Together grant from the Arnold P. Gold Foundation Research Institute.

Technical versus Humanistic Shared Decision Making revisited: Evaluating its occurrence

Submitted by  Marleen Kunneman, Fania R Gärtner, Ian G Hargraves, Victor M Montori

In a recent commentary published in the Journal of Argumentation in Context, we aimed to draw a contrast between technically correct shared decision making (SDM), and a humanistic approach to SDM.1 We stated:

“To address a patient’s problematic situation, patients and clinicians must work together to figure out a way forward that maximally supports meeting the patient’s goals, such as cure or better quality of life, while minimally disrupting their lives and loves, such as family life, work, or leisure. This work takes place in a conversation in which patients and clinicians test, or ‘try on’, the available options as ‘hypotheses’ until they identify one that fits best. The option that ‘fits best’ is the one that makes the most intellectual, emotional, and practical sense. This means that not only do patients and clinicians know and understand that it is the best option at hand, it also feels right and can be implemented in the life of the patient. The conversational dance between the patient and clinician2 and the trying out of different options and making sense of these options is sometimes called shared decision making or SDM.2,3 SDM shifts the focus of healthcare from care for ‘patients like this’ to care for ‘this patient’.”

We commented on a study by Akkermans et al, who studied the stereotypicality of argumentation in SDM encounters.4 We highlighted that “focusing on learning and using the correct communication (or techniques or steps of SDM) only makes sense if using these techniques and structures advances the situation of the patient.” We noted that:

“Since the emergence of SDM, research and implementation has primarily focused on getting the structure of SDM right: to take the right steps at the right time. It suggests that there is a technically correct sequence of steps, one that is best able to lead to identifying the best option, the best care for this patient.”

We noted the value of this approach insofar as it has shown that ‘technically correct SDM’ is rare in practice.7,8 Yet, it is unclear to us whether having a technically correct structure of the SDM process improves the likelihood that the care decisions made will contribute to improve the patient situation. We worry that focus on technical steps may encourage clinicians to ‘go through the motions’ or ‘check the boxes’ to achieve efficient productivity. This may indicate that current SDM evaluations “may lack validity, overestimate the occurrence of SDM as a caring process, and, to the extent that the conversation is necessary for SDM to exert its salutary effects, may underestimate the impact SDM could have on patient outcomes when applied in its caring form.” A focus on technically correct SDM, and on policies that promote it, may not improve the patient situation.

We concluded:

“The way forward may need to focus on responding to each patient’s problematic situation, and then explore the structures necessary, of SDM and argumentation, to achieve this response. We believe that in shifting this focus, we will look beyond what is technically correct, to uncover humanistic SDM and caring conversations.”

Recently, our teams (KER Unit and dept Medical Decision Making, LUMC) have been exploring the differences and value of technical versus humanistic SDM and its assessment. Part of this work has been made possible by Mapping the Landscape, Journeying Together grants from the Arnold P. Gold Foundation Research Institute. Stay tuned for the findings of these projects!

References

  1. Kunneman M, Gärtner FR, Hargraves IG, Montori VM. Commentary on “The stereotypicality of symptomatic and pragmatic argumentation in consultations about palliative systemic treatment for advanced cancer”. Journal of Argumentation in Context. 2018;7(2):205-209.
  2. Kunneman M, Montori VM, Castaneda-Guarderas A, Hess E. What is shared decision making? (and what it is not). Acad Emerg Med. 2016;23(12):1320-1324.
  3. Charles C, Gafni A, Whelan T. Shared decision-making in the medical encounter: what does it mean? (or it takes at least two to tango). Soc Sci Med 1997;44(5):681-692.
  4. Akkermans A, Labrie N, Snoeck Henkemans F, Henselmans I, Van Laarhoven HW. The stereotypicality of symptomatic and pragmatic argumentation in consultations about palliative systemic treatment for advanced cancer. Journal of Argumentation in Context. 2018.
  5. Stiggelbout AM, Pieterse AH, de Haes JCJM. Shared decision making: Concepts, evidence, and practice. Patient Educ Couns. 2015;98(10):1172-1179.
  6. Elwyn G, Durand MA, Song J, et al. A three-talk model for shared decision making: multistage consultation process. BMJ. 2017;359:j4891.
  7. Stacey D, Legare F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:CD001431.
  8. Montori VM, Kunneman M, Brito JP. Shared Decision Making and Improving Health Care: The Answer Is Not In. JAMA. 2017;318(7):617-618.

Listening

Submitted by Dorothea Lagrange

Throughout Europe there are many beggars from poorer countries. They are seldom welcome. What often gets lost in the rhetoric around these individuals is that these are real people, people who are often vulnerable and in need. In Sweden, where I live, I often encounter these beggars. I wish to tell you the story of one of these individuals and how they affected me.

I live in a small village and one day when leaving the market, I noticed an old man sitting on the ground. I had noticed him before, but today he looked especially haggard and was coughing persistently.

I did not know what to do. My heart ached for this man’s suffering, however, there were many stories about these people, mainly from Romania, that they operated some kind of Mafia where they could not keep any money they collected. This internal conflict made me hesitate, yet, I could not ignore the man in front of me, sitting in the cold, dark, wet, winter night. I thought to myself no one would do this voluntarily; his situation must be truly sad to place him here.

I resolved to go back into the market and buy him some food. After a few times of bringing him food, something amazing happened. He began to give me food! I was embarrassed, here was a man with practically nothing giving me what little he had. With no language in common it was hard for us to communicate, but with pantomime and pictures we began to have our own “conversations” and overtime I learned some Romanian. Sometimes we really had fun and laughed together. The other visitors to the shop stared at us sometimes, probably wondering what we were up to.

I found out that I had done what many of my compatriots had done and this man had more food than he could eat! I learned that while food was helpful, what this man really needed was warm clothes and fuel for his car. The car, it turned out, was not for driving as he did not drive, but for shelter and warmth. Additionally, he confided in me that he longed for a proper haircut; something many of us take for granted. After these conversations I had a realization. When I saw him there on the ground I made assumptions about his situation and jumped to a solution based upon my assumptions. I had solved a problem that he did not really have.

It was a reminder that I need to listen and not create solutions before I have figured out the problem. Sometime later he was admitted to the hospital, his years of smoking and tuberculosis had gotten the better of him. Despite his socioeconomic status, he was well cared for and a translator was brought in to help him communicate with the medical team. Additionally, to help him communicate, the nurses made large cards with the Swedish word on one side and Romanian word on the other. One that I was especially fond of, was one that said “coffee”. Someone added on the Swedish side in small letters “with milk and sugar”. The nurses saw him as the individual he was and restored his dignity.

Costel was a man who loved Baroque music and had previously worked in construction. Costel has since passed away, and the last word in Romanian I learned from him was macara, a crane. That however, was not that last thing Costel would teach me. In reflecting on and sharing my experience it is a reminder to always listen. Even if we think it is obvious what someone needs we cannot be sure unless we listen. Also, he taught me that even the poorest of our fellow humans are individuals and stereotypes may often mislead us. Stereotypes may have some grain of truth in them, but they are only part of the picture. It is easy to miss the rest if you don’t open up and allow for listening first.

This insight is very valuable in my daily life as a family doctor. Here, too, listening must come first. This is easily said, but so often in the rush of the day overlooked. Far too often we think we know what the patient wants or needs – and it turns out it is something completely different the patient is looking for. Without knowing what the patient wants, any suggestions about investigations or treatments are not meaningful and patriarchal.

Listening also helps to put stereotypes aside and to see the individual in the encounter. We do have to learn and understand medicine on a solid scientific ground and I am very fond of evidence. We do have to understand the world with data. But we must then go one step further and treat our patients with these data in mind not as a patient like this, but this patient. Who, in this case, loves his coffee with milk and sugar.

Extending the Applicability of Clinical Practice Guidelines to Patients with Multiple Chronic Conditions

This is a reprint of a previous publication held on guidelines.gov. We will work to update information within in coming blog posts.

By: Aaron L. Leppin, MD and Victor M. Montori, MD, MSc

Currently, half of all American adults have a chronic disease and 1 in 4 live with the burdens of multiple, concurrently active chronic conditions (1). The population is aging and the incidence and prevalence of chronic disease are increasing. As such, typical patients with any chronic condition are increasingly likely to be patients with multiple chronic conditions (MCC). Patients with MCC are a priority population and Federal stakeholders have called for new and effective ways of meeting their healthcare needs (2,3). Optimizing clinical practice guidelines for the care of patients with MCC could play a key role in this regard.

The Dilemma for Clinical Practice Guidelines

Clinical practice guidelines, for scientific and practical reasons, orient themselves around the management of specific diseases or clinical circumstances. They provide condition-specific guidance on how one would optimally manage a disease if and when that condition existed in a vacuum, independent of any interacting or intervening factors. This understanding is necessary, but, in many cases, does not directly or reliably apply to the care of an individual person—especially a person with MCC (4).

Although all patients exist in unique biopsychosocial contexts, the care of patients with MCC is particularly complicated by the interaction of multiple, concurrently active chronic conditions. When individual, disease-specific treatment strategies are pursued for these patients—indiscriminately and in parallel—the resulting care can be ineffective, impractical, and unsafe (5,6). Advocates of patient- or person-centered care recognize that the best way to manage complex patients is with comprehensive and flexible treatment strategies that can adapt to the nuances of individual contexts.

Guideline developers who desire to incorporate and encourage this understanding face a key dilemma. Person-centered disease management strategies, by their very nature, lack the disease specificity to fit into traditional, disease-oriented practice guidelines. The inability of guidelines to incorporate person-centered recommendations accentuates the significance of this dilemma by ultimately limiting the guidelines’ usefulness.

Consider Stanford’s Chronic Disease Self-Management Program (CDSMP), for example. The CDSMP is a group-based, disease-agnostic self-management program designed to generically enhance patients’ capacity to deal with the burdens of chronic disease. Participants select which self-management strategies they will use from a menu of options and according to their preferences. They also prioritize the conditions or issues they will seek to address based on their own perceptions of context, need, and ability. The body of evidence related to the CDSMP suggests that it improves patient-reported outcomes regardless of patient diagnosis (7,8). As such, CDSMP implementation is a key priority of the Department of Health and Human Services’ effort to optimize the care of patients with MCC (2) and the Centers for Disease Control and Prevention has recommended it become part of routine care for all patients with any chronic condition (8).

Arguably, the CDSMP should be a component of clinical practice guidelines for every chronic condition, and yet it appears in none. One reason for this, paradoxically, is that person-centered approaches to chronic disease management are rarely the best option for optimal management of any single disease if and when that disease existed in a vacuum. The CDSMP is not the most efficacious treatment for depression, for example, nor is it the most efficacious treatment for diabetes or arthritis or cancer. But what is the single best intervention for a patient with depression, diabetes, arthritis, and cancer? The answer to this question is not currently known, but to a patient living in that context—and to the clinician caring for him or her—it remains the most important question to have answered.

The Opportunity for Person-centered Guidelines

Some guideline developers have succeeded in incorporating person-centered recommendations into clinical practice guidelines. Examples include advocating for the use of clinical judgment in formulating treatment plans and for using shared decision-making strategies that incorporate patient values, preferences, and priorities. These recommendations are useful but, in contrast to their more traditional and disease-focused counterparts, they encourage things that are often difficult to identify, operationalize, and enact—such as attitudes or concepts. The ultimate and practical value of clinical practice guidelines rests in their ability to provide direction on what to do (and, implicitly, measure). This is straightforward in some clinical circumstances, but in the setting of chronic disease—and especially among patients with MCC—it is rarely obvious or clearly actionable. The key challenge and opportunity for clinical practice guidelines for chronic disease management, then, is to identify a mechanism for translating person-centered intentions into clearly described and actionable clinical activities.

Minimally Disruptive Medicine as a Proposed Solution

In an effort to guide understanding in this regard, our research team at Mayo Clinic has spent the last 5 years developing a patient-centered and context-sensitive model of care called minimally disruptive medicine (MDM) (9). Our particular contributions add to and draw from those of the International Minimally Disruptive Medicine Workgroup (www.minimallydisruptivemedicine.org ) and are informed by the synthesis of insights from our own internally and externally funded research projects, the engagement of key and diverse stakeholders, and ongoing and reflective transdisciplinary discourse.

In summary, and in the simplest sense, MDM describes patient context as a balance between workload and capacity. Workload comprises all the things patients must do (physically, cognitively, or otherwise) to be well and to fulfill meaningful goals for and roles in life and health. In the complex circumstances of individual patients with MCC, the unique compositions of workload will vary—inevitably including contributors from health, healthcare, and life—but the resulting construct emerges as an experience that is consistent and relatable—namely, a burden. Capacity comprises all the resources—physical, mental, social, financial, personal, and environmental—that patients with MCC can mobilize to carry out the work of life, health, and healthcare, and, in turn, counteract or avoid the experience of burden.

For patients with MCC, capacity is always at risk of being overwhelmed. As the limits of capacity are breeched, patients begin to experience care as a disruption to their lives. They may begin to haphazardly prioritize aspects of the workload that are feasible, but of little value. In these cases, patients are prone to clinical and personal decompensation. It stands to reason, then, that for health care to be effective for patients with MCC, special efforts must be taken to augment the balance of workload and capacity so that it favors the patient (10). The advantage of this conceptualization—which itself derives from a synthesis of mathematical, psychological, and social underpinnings—is that it serves to make sense of patient context (11). For guideline developers, this also begins to overcome the challenge of translating person-centered intentions into clinically actionable recommendations. Such recommendations are necessary to facilitate the development of person-centered quality metrics that are more appropriate for patients with MCC.

Recommendations for Consideration

To extend the applicability of clinical practice guidelines to patients with MCC, we present three strategies that are consonant with a person-centered approach based in MDM. In order of increasing complexity and uncertainty, they are:

  1. The MCC caveat: a simple statement that acknowledges the limitations of disease-centered treatment recommendations for patients with MCC. This statement should serve to reduce clinicians’ expectation that following a recommendation—especially when it is not strong—will do more good than harm. It should also alert policy-makers to the potential disservice done to patients with MCC when disease-centered recommendations are linked to quality metrics that guide incentives and practice.
  2. The MCC context assessment: an explicit recommendation for the assessment of patient context before applying disease-centered treatment recommendations. These assessments should include an evaluation of patient workload and capacity. As an example of a workload assessment, Mair and May have proposed a question as simple as “Can you really do what I am asking you to do?” (12). Ideally, this question should follow a careful consideration of and deliberation about what should be done.
  3. The MCC treatment optimization: a proactive adaptation of the disease-centered treatment recommendation based on understandings elicited from the context assessment. In accordance with a MDM approach, this amounts to enacting efforts to support patient capacity to implement essential care and/or removing non-essential care and tailoring treatment approaches to something more feasible and effective. For example, a patient-centered guideline for diabetes management in the context of MCC might read:

If the MCC context assessment suggests that optimal diabetes-oriented care is likely to be ineffective or impractical for the patient at this time, the clinician—in partnership with the patient—should look for opportunities to remove low value and excessively burdensome care (including unnecessary testing and appointments), regardless of indication. If no such care is identified or if its removal does not sufficiently change the patient’s context, patient-centered adaptations of the diabetes treatment strategy outlined here may be pursued. In order to do this, the clinician should first partner with the patient to assess the relative value of optimal diabetes-oriented care in achieving important patient goals. If this value is judged to be low, the clinician and patient can consider temporarily modifying or suspending diabetes-oriented treatment targets (e.g., HbA1c targets) and/or changing management strategies (e.g., by changing from insulin to an oral antidiabetic medication) to better fit patient preference and capacity. Alternatively—and if optimal diabetes-oriented care is essential for achieving important patient goals—supportive efforts should be taken to enhance patients’ capacity to fit this care into their lives (e.g., by connecting patients to community-based resources that can help with transportation, prescription refills, self-care).

A key and inherent limitation of person-centered clinical practice guidelines is that they will never be able to provide patient-specific recommendations for how to adapt disease-centered guidelines. What they can do is provide conceptual direction on how such adaptations should be made. MDM may provide a framework for orienting this guidance and for making sense of the application of patient-centered clinical wisdom. To that end, we have proposed and organized a flexible toolbox of interventions that clinicians can use to match their efforts to the unique contexts of patients with MCC (11).

Conclusion

Certainly, guidelines must continue to communicate what the best science supports for optimal management of a given disease if and when that condition existed in a vacuum. As the prevalence of MCC rises however they must also provide specific, actionable, and patient-centered guidance on what is practically feasible, technically safe, and ethically appropriate in each setting. Traditionally, professional societies and guideline panels have focused on the former. America needs bold and innovative guideline developers willing to focus on the latter. When guidelines change, policy and practice can follow. To the extent this occurs, patients with MCC could be the first to reap the benefits.

Authors

Aaron L. Leppin, MD
Assistant Professor of Health Services Research
Knowledge and Evaluation Research Unit
Mayo Clinic
Rochester, Minnesota

Victor M. Montori, MD, MSc
Professor of Medicine
Knowledge and Evaluation Research Unit
Mayo Clinic
Rochester, Minnesota

Disclaimer

The views and opinions expressed are those of the author and do not necessarily state or reflect those of the National Guideline Clearinghouse™ (NGC), the Agency for Healthcare Research and Quality (AHRQ), or its contractor ECRI Institute.

Potential Conflicts of Interest

Dr. Leppin states the Mayo Clinic research was supported by funding from NIH and AHRQ. No support was received from industry of any kind. Both authors declare no financial or personal conflicts of interest with respect to this commentary.

References

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  2. Department of Health and Human Services. Multiple chronic conditions—A strategic framework: Optimum health and quality of life for individuals with multiple chronic conditions. Washington (DC): Department of Health and Human Services; 2010.
  3. Parekh AK, Kronick R, Tavenner M. Optimizing health for persons with multiple chronic conditions. JAMA. 2014;312(12):1199-200.
  4. Wyatt KD, Stuart LM, Brito JP, et al. Out of context: clinical practice guidelines and patients with multiple chronic conditions: a systematic review. Med Care. 2014 Mar;52(Suppl 3):S92-100.
  5. Boyd CM, Darer J, Boult C, Fried LP, Boult L, Wu AW. Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for performance. JAMA. 2005;294(6):716-24.
  6. Dumbreck S, Flynn A, Nairn M, et al. Drug-disease and drug-drug interactions: systematic examination of recommendations in 12 UK national clinical guidelines. BMJ. 2015;350:h949.
  7. Ory MG, Ahn S, Jiang L, et al. Successes of a national study of the Chronic Disease Self-Management Program: meeting the triple aim of health care reform. Med Care. 2013 Nov;51(11):992-8.
  8. Brady TJ, Murphy L, Beauchesne D, et al. Sorting through the evidence for the Arthritis Self-Management Program and the Chronic Disease Self-Management Program, executive summary of ASMP/CDSMP meta-analyses. Atlanta (GA): Centers for Disease Control and Prevention; 2011 May. 30 p.
  9. May C, Montori VM, Mair FS. We need minimally disruptive medicine. BMJ. 2009;339:b2803.
  10. Leppin AL, Gionfriddo MR, Kessler M, et al. Preventing 30-day hospital readmissions: a systematic review and meta-analysis of randomized trials. JAMA Intern Med. 2014;174(7):1095-107.
  11. Leppin AL, Montori VM, Gionfriddo MR. Minimally disruptive medicine: a pragmatically comprehensive model for delivering care to patients with multiple chronic conditions. Healthcare. 2015(3):50-63.
  12. Mair FS, May CR. Thinking about the burden of treatment. BMJ. 2014;349:g6680.

 

Caring For Each Other: The Charter on Physician Well-Being by Colin West, M.D

Physician well-being is recognized as a critical contributor to how patients experience health care, but physicians are too often distressed, burned out, and dissatisfied. Attention to physician well-being offers benefits to every member of the health care system. Of particular relevance to this blog site, shared decision making and its promotion of meaningful relationships with patients is likely to be associated with improved physician well-being. However, despite overwhelming evidence identifying the scope of the problem, barriers to well-being, and solutions, medicine has lacked a unifying framework to anchor efforts to promote physician well-being.

In response to this need, the Collaborative for Healing and Renewal in Medicine (CHARM), in partnership with the Arnold P. Gold Foundation, convened a work group to develop the recently published Charter on Physician Well-Being. Modeled after the American Board of Internal Medicine’s The Physician Charter on medical professionalism, the Charter on Physician Well-Being begins with a preamble followed by four guiding principles intended to establish the foundational rationale and structure for physician well-being efforts.

Guiding Principles:

  1. Effective patient care promotes and requires physician well-being.
  2. Physician well-being is related with the well-being of all members of the health care team.
  3. Physician well-being is a quality marker.
  4. Physician well-being is a shared responsibility.

A set of eight key commitments follows, recognizing the shared responsibility for well-being that exists between individual physicians, the institutions they work in, and society at large.

Key Commitments:

  1. Foster a trustworthy and supportive culture in medicine.
  2. Advocate for policies that enhance well-being.
  3. Build supportive systems.
  4. Develop engaged leadership.
  5. Optimize highly functioning interprofessional teams.
  6. Anticipate and respond to inherent emotional challenges of physician work.
  7. Prioritize mental health care.
  8. Practice and promote self-care.

A current list of endorsing/supporting organizations is here, and the Charter work group hopes that as this list grows, endorsing bodies and institutions will challenge themselves to apply these commitments in setting a course of action to promote physician well-being. With the support and endorsement of key organizations in medical education and beyond such as the American Medical Association, the Charter establishes core principles learners, physicians, and institutions should expect of themselves and of each other.

The Charter work group believes that a health care system should value the well-being of its workforce equally with other measures of high-value care. Although the well-being of physicians deserves attention in its own right, patients and the health care system will also inevitably benefit if the principles set forth in the Charter help physicians to be well. Dr. Francis Peabody wrote in 1927 that “… the secret of the care of the patient is in caring for the patient.” We now know that physicians can best care for patients when they are themselves cared for. The Charter on Physician Well-Being establishes the structure necessary to make this happen. Our patients are counting on us as individuals, organizations, and as a profession to get this right

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Dr. West is Professor of Medicine, Medical Education, and Biostatistics at Mayo. His research has focused on medical education and physician well-being, and he is Co-Director of the Mayo Clinic Program on Physician Well-Being. His work documenting the epidemiology and consequences of physician distress, as well as emerging research on solutions, has been widely published in prominent journals including Lancet, JAMA, Annals of Internal Medicine, and JAMA Internal Medicine.