Skip to main content

Supporting quality care for ESRD patients: the social worker can help address barriers to advance care planning

Abstract

Background

Advance Care Planning (ACP) is essential for preparation for end-of-life. It is a means through which patients clarify their treatment wishes. ACP is a patient-centered, dynamic process involving patients, their families, and caregivers. It is designed to 1) clarify goals of care, 2) increase patient agency over their care and treatments, and 3) help prepare for death. ACP is an active process; the end-stage renal disease (ESRD) illness trajectory creates health circumstances that necessitate that caregivers assess and nurture patient readiness for ACP discussions. Effective ACP enhances patient engagement and quality of life resulting in better quality of care.

Main body

Despite these benefits, ACP is not consistently completed. Clinical, technical, and social barriers result in key challenges to quality care. First, ACP requires caregivers to have end-of-life conversations that they lack the training to perform and often find difficult. Second, electronic health record (EHR) tools do not enable the efficient exchange of requisite psychosocial information such as treatment burden, patient preferences, health beliefs, priorities, and understanding of prognosis. This results in a lack of information available to enable patients and their families to understand the impact of illness and treatment options. Third, culture plays a vital role in end-of-life conversations. Social barriers include circumstances when a patient’s cultural beliefs or value system conflicts with the caregiver’s beliefs. Caregivers describe this disconnect as a key barrier to ACP. Consistent ACP is integral to quality patient-centered care and social workers’ training and clinical roles uniquely position them to support ACP.

Conclusion

In this debate, we detail the known barriers to completing ACP for ESRD patients, and we describe its benefits. We detail how social workers, in particular, can support health outcomes by promoting the health information exchange that occurs during these sensitive conversations with patients, their family, and care team members. We aim to inform clinical social workers of this opportunity to enhance quality care by engaging in ACP. We describe research to help further elucidate barriers, and how researchers and caregivers can design and deliver interventions that support ACP to address this persistent challenge to quality end-of-life care.

Peer Review reports

Key points

  • ACP is a process involving ESRD patients, their families, and caregivers to clarify goals, enable shared decision-making, and prepare for death.

  • Clinical, technical, and social factors present barriers to ACP.

  • Social workers’ skills and role on caregiver team enable them to support ACP.

Background

Wherever your life ends, it is all there. The utility of living consists not in the length of days, but in the use of time; a man may have lived long, and yet lived but a little.

Michel Eyquem de Montaigne, 1533–1592

There is an opportunity for social workers to help facilitate quality care by performing advance care planning (ACP), which requires the collection and use of psychosocial information. The ACP process is a critical aspect of a patient-centered approach to care, and it represents an important, necessary step to align chronic kidney disease (CKD) patients’ treatment plans to their preferences, values, and goals [1]. ACP provides patients and their families a conduit to clarify their treatment wishes [2, 3].

ACP is a patient-centered, dynamic process involving patients, their families, and caregivers. The ACP process is designed to 1) clarify goals of care, 2) increase patient agency over their medical care and treatment, and 3) help prepare for death. ACP is an active process because the CKD illness trajectory creates health circumstances that necessitate that clinicians assess and nurture patient readiness to participate in ACP discussions. This requires that conversations are informed by shifting psychosocial information that helps describe the patient’s situation. Thus, ACP must be revisited at appropriate times, driven by intervals based on both clinical and psychosocial considerations [4, 5].

ACP and advanced directives are not synonymous. ACP is distinct from simply documenting the existence and content of advanced directives. Advanced directives are documents that describe the patients’ wishes concerning medical decisions in the event that they are not able to make those decisions themselves, in essence, if they lose decision-making capabilities [6]. While ACP may result in the creation of an advanced directive, ACP requires the exchange of personal, sensitive psychosocial information that must be periodically revisited.

Psychosocial information is indispensable to the ACP process. Psychosocial information includes individual (e.g., individual perceptions and trust) and structural (e.g., level of social support and cultural tradition) information fundamental to ACP [7,8,9]. Requisite information from patients and family members who comprise their support system includes intimate, personal information which informs the key quality of life considerations. This personal information can include values, beliefs, and priorities regarding: what medical/clinical treatments they wish to undergo, and for what length of time, what medical/clinical conditions they want to be treated and what outcomes (i.e., disabilities) they are willing to live with [6].

In limited study populations, nephrologists who are prompted to identify patients who might benefit from ACP demonstrate its efficacy via enhanced documentation of patient preferences for limits on life-sustaining treatment [10, 11]. ACP is particularly imperative for older adults, as they represent the fastest-growing population starting dialysis [12]; 65 is the current median age of end-stage renal disease (ESRD) patients who begin dialysis, and 10% of all patients above 75 who start dialysis die within 3 months [13] and 41% die within 1 year [14].

Access to ACP can enhance the quality of life through patient knowledge that their wishes are known and will be followed. In some cases, empowerment through disease process knowledge can extend life through increased engagement, especially among older adult patients. In one study (N = 122), one-third of patients whose ACP resulted in the choice to engage in palliative care and stop treatment survived 12 months beyond the time when dialysis would have been indicated, and over half (58%) experienced stable or improved quality of life [11, 15]. Despite this empirical support for the benefits of ACP, considerable research describes that patients do not consistently receive treatment that considers their preferences and goals [16,17,18,19,20]. ESRD patients desire information concerning their prognosis, and patients who have access to this information tend to prefer, and hence choose, less aggressive treatment options [21]. But few dialysis patients report having even limited conversations about their wishes concerning end-of-life; ESRD patients report that treatment options that include discontinuing dialysis are rarely even discussed [22].

Various clinical, technical, and social barriers to psychosocial information exchange have been described. Clinical barriers include fear of taking away hope from patients and clinician bias towards aggressive treatment [10, 20]. Technological barriers include the inability to collect and use psychosocial information, specifically information that includes patients’ goals and values [23]. Current technology capabilities i.e., electronic health record (EHR), impede the collection and use of psychosocial information across various ambulatory care settings [24]. However, we acknowledge that EHR capabilities enable data collection and analysis that support the creation and evaluation of models that calculate the risk of disease progression, important to facilitate an ACP discussion. Since physical data from CKD patients is regularly recorded in clinical practice, various models have been built which attempt to identify factors which predict kidney disease progression [25,26,27,28,29,30]. For example, one model that used longitudinal laboratory test results and clinical documentation predicted CKD progression from stage III to stage IV more accurately than other models that do not account for these factors [31]. Social barriers include patient belief systems which may conflict with caregivers’ values [19]. We also acknowledge that legal considerations are occasionally cited as barriers; however, we concur with the prevailing view that since advance directives tend to not dictate control over medical procedures as do, for example, wills over property, in practice the existence (or lack thereof) of ACP does little to prevent legal disputes over medical care [32].

Social workers’ role and training position them well to help facilitate ACP and enable the requisite psychosocial information exchange. Further, social workers can support the design of interventions to address the persistent issue of lack of consistent ACP for ESRD patients.

ACP and patient-centered care

The Coalition for Supportive Care for Kidney Patients (CSCKP), formerly the Kidney End-of-Life Coalition, states that a patient-centered approach to care that includes ACP can result in better quality of care for ESRD patients as defined by the National Quality Strategy Three Aims: 1) better care for the individual, 2) better health for populations, and 3) reduced cost of care [1]. As described in the National Quality Strategy, the United States Centers for Medicare and Medicaid Services (CMS) holds practices accountable for quality measures that help define value-based care, and patient engagement and experience is one of the three measures specifically pertinent for ACP; the other two are clinical care metrics and care coordination [33]. ACP discussions include patient and family wishes, so this is a particularly important indicator of patient engagement which can have a dramatic influence on the plan of care [34]. For example, for practices in which caregivers work closely with patients to understand their treatment preferences, patients choose lower-cost and less-intense treatment [35,36,37]. The considerable ESRD treatment burden – spiritual, psychosocial, and physical – further illuminates the need to include ACP in the care management of ESRD patients [38].

Information exchange required for ACP

ACP has evolved from simply designating a health care proxy (i.e., surrogate) or instructions (i.e., living will, advanced directive) which emerge from a singular conversation between physician and patient – to a process of ongoing psychosocial information exchange, essential for delivering patient-centered, quality care and honoring the patients’ values. The “living will” was first conceived in 1969 as a legal document, a trust that establishes the physician as the trustee and patient as the beneficiary [32]. Today, significant health information exchange is necessary in order to fulfill key goals of ACP: clarifying treatment goals, supporting patient agency over their care, and preparing for death and bereavement [4]. Since patient priorities, wishes, and goals may change over time, especially as health circumstances change over CKD progression, this health information exchange must be revised periodically. In fact, the CMS mandates patient care plan assessments that include serious illness conversations at minimum annually, but also according to specific clinical events or circumstances such as: upon admission to a dialysis unit, after 3 months on dialysis, or after prolonged hospital admission [39]. Non-time based triggers to prompt serious illness conversations have been detailed for patients prior to dialysis (e.g., transplant referral, repeated or extended hospitalizations, changes in functionality, falling albumin, or weight loss) and after dialysis (e.g., access procedures, sentinel events such as falls and sudden appetite change) [40]. A reciprocal exchange of sensitive health information is required for these conversations, necessary to fulfill the following key principles of ACP [6, 41, 42]:

  • Understand the patients’ priorities, what is important to them and why.

  • Comprehend what the patient wants or does not want to be treated.

  • Appreciate what clinical treatments the patient wants or does not want.

  • Discover what outcomes the patient wants or does not want to live with. Include specific symptoms that are important to the patient. Know what general quality of life issues are important to the patient.

  • Know who the patient wants to speak to their wishes in the event that the patient cannot make their own decisions regarding care.

  • Grasp to what degree the patients’ engaged family members are aware of their preferences.

Known barriers to ACP: clinical, technical, and social

ACP is not consistently completed due to clinical, technical, and social barriers that prevent requisite psychosocial information from being collected or used. Clinical barriers include lack of training and practice policies that may dissuade less aggressive treatment which more informed patients may select. Technology barriers include current tools i.e., EHR, that are ill-equipped to collect the psychosocial information needed to inform ACP. Social barriers include cultural values that may conflict with caregivers’ values.

Clinical barriers to access and use of psychosocial information required to complete ACP are grouped in three practice areas: 1) education/training, 2) implementation, and 3) policy. First, caregivers are not adequately trained to address the deleterious perceptions that ACP is merely “end-of-life” care and the general assumption that dialysis is categorically consistent with the goals of ESRD patients [21, 43]. Second, ACP programs are not developed and implemented because practices lack caregivers trained to implement ACP, resulting in an inability to identify patients appropriate for referral. Last, policy barriers include the need for more research on the clinical and financial effects of ACP which include consideration of reimbursement policies and regulatory obstacles [44]. As a consequence of these barriers, ACP has not been widely implemented despite research and policy leaders acknowledging that improved access to ACP holds a considerable opportunity to improve both clinical outcomes [45] and financial value [46]. There is a vital need to investigate the entire effect of ACP; lessons learned should be used to refine, measure, and expand its capacity.

Clinical education / training

In large surveys, nephrologists report that they are not prepared to support patients in end-of-life decisions, and nephrology residents report insufficient palliative care education necessary to conduct ACP [47]. For example, in one of the largest surveys of its kind, a 2006 multi-national survey of nephrologists across the United States found that only 39% of nephrologists felt “very well prepared” to support end-of-life decision making with patients [48]. Less than 5% of nephrology care teams across the United States report having the skills across their interdisciplinary teams to effectively conduct ACP [5]. The literature indicates that uncertainty concerning prognosis is a key missing aspect of training in residency, fellowships, and continuing education [21]. In fact, rapidly evolving predictive models that indicate functional status are being developed to help prompt a reassessment of a patient’s wishes or a change in prognosis [49, 50]. Despite these important, developing capabilities, the literature is virtually silent in describing prompts for other members of the care team, such as nurses and social workers [51]. However, nephrology nurses describe difficulties in performing, or in advocating for end-of-life care due to other clinical demands, and competing priorities among themselves and physicians and practice leadership [52]. Further, for caregivers ACP discussions may represent a discussion about failure rather than fulfilling the obligation to engage with the patient to share in decision-making. Although caregiver perceptions of ACP vary according to patient conditions and training, the discomfort associated with conversations with patients about death and dying, and apprehension that doing so will create anxiety, have been described as barriers to initiating ACP [53].

Clinical implementation

The Renal Physicians Association’s clinical practice guidelines address ACP. The guidelines detail specific questions to ask patients to help evaluate their wishes [54]. The guidelines also include the commonly named “surprise question” physicians can ask themselves to help inform ACP: “Would I be surprised if this patient died in the next year?” However, the literature lacks descriptions of how ACP may be conducted and specific steps to implement it [10, 11].

Despite considerable advances in clinical decision support tools that have increased the quality of care and patient safety, the development of these tools has not yet reached support for predictive ESRD prognosis [55]. In fact, among dialysis caregivers and administrators, the lack of comprehensive decision support and guidelines to support decision making for ESRD patients is a principal barrier to end-of-life discussions across CKD practices. For example, in a large survey (N = 487) of ESRD caregivers – nephrologists, nurse practitioners, nurses, social workers, and dialysis administrators – across dialysis centers respondents, 40% of whom were social workers, indicated that they were unaware of any validated prognostic model or clinical practice guidelines to support end-of-life decisions [56]. There are few examples of clinical decision support tools designed for clinical practice that attempt to identify dialysis patients at the highest risk of death; however, none have been validated and used in routine clinical practice [57]. For example, the Charlson Comorbidity Index (CCI) is a tool to estimate mortality risk from comorbid disease [58]. In limited study populations, the CCI has been investigated to inform clinical decision support tools for six-month survival for dialysis patients [59,60,61,62].

However, other than number and frequency of hospitalizations; there are no “milestone” guidelines in systematic, routine clinical use so that caregivers can evaluate parameters to help inform care goals, which may include withdrawal from dialysis [47]. This results in clinical environments in which caregivers are reluctant to have discussions which they believe will elicit fear and take away hope from ESRD patients and their families [63].

Policy – financial incentives/reimbursement

In 2011 the CMS introduced bundled payment reform in conjunction with the Quality Incentive Program (QIP) in an effort to enhance efficiency for ESRD care. This policy shift has resulted in practices responding to QIP stipulations, which include up to 2% reimbursement penalties if selected quality indicators are not met [64]. Effective January 2016 the CMS instituted reimbursement for voluntary ACP under the Medicare Physician Fee Schedule (MPFS) [65]. Despite these changes, end-of-life care has been virtually unchanged in large part because performance measures are associated with clinical goals not related to ACP [66]. For example, performance metrics include dialysis dose, hemoglobin levels, and maximizing arteriovenous fistula while minimizing central venous catheter use [21]. In fact, these incentives may run contrary to ACP in cases where patients subsequently elect for less-aggressive treatments. Treatment goals that result from ACP may be inconsistent with these disease-focused incentives. Incentivized metrics may create incongruent priorities, especially among caregivers who may wish to advocate for patient-centered care, yet who may also have a personal or financial interest in volume and/or reported clinical metrics [21]. Indeed, in limited studies, the literature supports that financial incentives may dissuade caregivers from having ACP discussions that may result in less-aggressive treatment [16]. Despite these circumstances, alternative financial models are in place that show promise to better align ESRD incentives with patient-centered care. For example, a comprehensive ESRD care model enables organizations to incorporate palliative and hospice care into “regular” ESRD care for patients with end-of-life care needs [5].

Technical barriers

Clinicians across specialties acknowledge the need for better collection and use of psychosocial information, primarily due to limited capabilities to do so given current capabilities of EHR tools [24, 67]. In fact, the literature describes recommendations that current EHR tools should be enhanced to include a patient care plan, which aims to promote patient engagement and collaboration with caregivers across care teams and the healthcare system [68]. Specifically, the EHR should include capabilities to access and use psychosocial information, which of course the patient provides. Recommendations include enhancing EHR capabilities to document and use psychosocial information such as a patients’ emotional health and stressors, as this information is key to help inform various clinical decisions [69, 70]. For instance, a caregiver could capture how a patient’s cultural and/or spiritual beliefs influence their views concerning end-of-life planning. A national survey of 1000 primary care physicians identified that access to psychosocial information is critical to influencing patient health outcomes. A large majority of respondents (85%) indicated that they do not feel confident in currently available tools to assess and address patients’ social, cultural, and emotional needs [71]. Caregivers must have consistent access to psychosocial information in order to understand patients’ values, goals, and care needs as its collection and use are necessary to perform ACP. The caregiver must use psychosocial information to inform critical care decisions concerning the plan of care, especially decisions which may result from ACP.

Social barriers

Caregivers across various clinical roles express concerns for circumstances when the patient’s cultural beliefs and values may be discordant with the caregivers’ belief systems [19]. In fact, nephrology nurses describe conflicting belief systems among key barriers to performing ACP [51, 72]. The literature describes the vital role that culture plays in conversations about end-of-life. Culture influences the role of family and community relationships, spirituality, worldview, and it even shapes perceptions of appropriate communication because cultural norms influence the very role of language [73]. Consequently, international guidelines call for increased research on how to incorporate culturally responsive language and communication into ACP [74]. Emerging literature describes the culture-specific preferences and values which have a profound impact on ACP discussions. For example, when compared to other ethnic groups, Latinos on dialysis are less likely to have an advance directive and they are less likely to die with hospice services [74]. African American patients with kidney disease tend to have discordant beliefs about the meaning of death or illness when compared to their caregivers. Also, African American patients, in general, tend to hold higher levels of mistrust for health care delivery systems, which exacerbate the difficulty of end-of-life communication and decisions [75]. Consequently, when compared to White patients, African American patients are less likely to report conversations about end-of-life preferences and knowledge of treatment options (e.g., hospice) [76]. These insights reflect that much of the research concerning cultural-specific preferences and values stem from North America and Canada, where caregivers and patients tend to have more experience with ACP. However, international cultural perspectives are emerging. In one study of Irish patients receiving hemodialysis, the majority were comfortable talking about end-of-life and death, but family members were most comfortable with discussions concerning prolonging life, specifically preferring medical interventions to prolong life [77]. In another study of dialysis patients in Italy, a significant proportion of patients preferred not to be involved with end-of-life decisions, and older adult patients preferred to continue dialysis despite poor quality of life indicators or poor prognosis [78].

As a result of clinical, technical, and social barriers, ESRD patients experience substantial unmet ACP needs. There is a compelling need for enhanced psychosocial information exchange that enables education on the disease and its progression and facilitates support for supportive dialogue crucial to ACP [79]. ESRD patients continue to report needing information concerning their illness and prognosis [80], and across studies, ESRD patients report that their care team rarely discusses ACP goals [5, 41].

Social work’s role in ACP

Quality of care for ESRD patients includes ACP, which requires a partnership between patients, their families, and caregivers [81]. Due to high mortality, ACP is particularly important for late-stage CKD and dialysis patients. One in five dialysis patients die each year [82], and more stage 4 CKD patients die prior to developing ESRD (8.0 per 100 patient-years) than those who develop ESRD (7.7 per 100 patient-years) [83]. Despite its suitability, ACP has not been widely adopted across nephrology practices due to obstacles to psychosocial information exchange based on clinical, technical, and social barriers [44]. The nephrology social worker’s role continues to evolve to include key assessment and patient-support tasks for interventions focused on patient health behavior (e.g., medication recommendations, dietary and fluid guidelines) [84]. In fact, the CMS mandates a master’s level social worker in all dialysis centers to help assess and support emotional factors known to influence health behavior. Although social workers remain largely excluded from CKD management, they are consistently valued members of palliative care teams. Further, leading (for profit) dialysis providers support psychosocial information exchange that can help assess and address barriers to recommended health behavior [85, 86].

In fact, recent research offers emerging insights on how to design and evaluate ACP interventions. This research confirms that nephrology social workers are already playing key roles in designing and executing interventions aimed to enhance the quality of care [87]. Tools are being developed to help improve information exchange concerning prognosis and treatment options, and patients’ values and beliefs [76]. Key lessons learned from these ACP interventions include: a) employing practice-level efforts focused on patient preferences and values, b) using interdisciplinary care teams, and c) empathic listening and focus on patient engagement at the very onset and throughout ACP.

As described, clinical barriers concerning conflicting motivations are quite daunting. However, examining the emerging literature describing practice level ACP interventions is informative, and doing so helps make the case for practice level ACP. The rationale should include identifying existing policies and procedures, whether explicit or tacit, that presumes a set plan of care. The impetus for these organizational shifts is grounded in patient engagement and considering their needs, values, and preferences [5]. Few caregivers and administrators will refute the importance of shared priorities concerning patient-centered care, which can begin with patients who have already completed advanced directives; incorporating them into a more comprehensive ACP process can instill confidence that patients’ stated wishes are understood and will be honored [88, 89].

Constituting interdisciplinary teams is critical in order to address the innumerable information needs and concerns that can arise during ACP. Patients have diverse needs and preferences, which can shift over time, so an interdisciplinary team is necessary in order to, for example, support patients’ various biopsychosocial and spiritual needs [14]. The training and experience that social workers bring to an interdisciplinary team make them critical to addressing the clinical, technical, and social barriers to psychosocial information collection and use as it pertains to ACP.

Empathic listening during the ACP conversations, and in the discussions leading up to them, is critical to help facilitate ACP because it facilitates understanding of the patients’ values and wishes [42, 90]. This is important to establish patient buy-in, which is achieved by simultaneously affirming a genuine sense of agency while identifying treatment options associated with ACP. The patients who engage in these discussions tend to require more information, so the focus needs to remain on the patient and how the disease progression and treatment options may affect their lives according to their own values and relationships. Social worker training includes motivational interviewing (MI). a skills-based approach to helping individuals change behavior [91]. MI may be particularly suited to ACP because it requires adjustment based on the patient’s readiness to engage in requisite conversations and reflection. In fact, MI has been used in ESRD care to assist with fluid management, and help reduce depression and anxiety [72]. ACP cannot be completed through pre-determined routinized, specific steps. MI enables flexibility to adjust to the patient’s readiness level and is sensitive to identifying when a patient may be receptive (i.e., ready) to have an ACP conversation [92]. MI also can help adjust to the diversity of cultural values, and MI has shown efficacy in improving medication adherence for African American patients [72]. Given their proximity to patients, the nature of the information disclosure that already occurs, and their training in MI, social workers can help align practice decisions resulting from ACP with patient perceptions and goals, values, and preferences.

Since patient engagement is such a crucial dimension, future ACP interventions should leverage lessons learned from studies aimed at enhancing ESRD patient engagement, specifically concerning living donor transplantation and the importance of training caregivers using ‘model conversations’ that employ both print i.e., booklets and technology, i.e., short videos, featuring ethnically diverse patients and family members [93].

Conclusion

In this review, we outline the clinical, technical, and social barriers to collecting and using the psychosocial information required to perform ACP. Our goal is to equip nephrology care teams with information concerning the benefits of ACP, insights on the known barriers to ACP, and strategies to address them. Nephrology social workers are uniquely positioned to help enhance quality via improved patient engagement. Designing and executing ACP interventions that help to identify ACP perceptions and barriers is an important initial step, and social workers should be at the forefront of implementing ACP in their advocacy for patients and their families.

Availability of data and materials

Not applicable.

Abbreviations

ACP:

Advance care planning

CCI:

Charlson Comorbidity Index

CKD:

Chronic kidney disease

CMS:

United States Centers for Medicare and Medicaid Services

EHR:

Electronic health record

ESRD:

End-stage renal disease

MI:

Motivational interviewing

QIP:

Quality Incentive Program

References

  1. O’Hare AM, Armistead N, Schrag WLF, Diamond L, Moss AH. Patient-centered care: an opportunity to accomplish the “three aims” of the national quality strategy in the medicare ESRD program. Clin J Am Soc Nephrol. 2014;9(12):2189–94.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Lund S, Richardson A, May C. Barriers to advance care planning at the end of life: an explanatory systematic review of implementation studies. PLoS One. 2015;10(2):e0116629.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  3. Sellars M, Clayton JM, Morton RL, Luckett T, Silvester W, Spencer L, et al. An interview study of patient and caregiver perspectives on advance care planning in ESRD. Am J Kidney Dis. 2018;71(2):216–24.

    Article  PubMed  Google Scholar 

  4. Holley JL. Advance care planning in CKD/ESRD: an evolving process. Clin J Am Soc Nephrol. 2012;7(6):1033–8.

    Article  PubMed  Google Scholar 

  5. Schell JO, Lam D. Steps toward sustainable change in advance care planning. Am J Kidney Dis. 2017;70(3):307–8.

    Article  PubMed  Google Scholar 

  6. Levi BH, Green MJ. Too soon to give up: re-examining the value of advance directives. Am J Bioeth. 2010;10(4):3–22.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Institute of Medicine. In: Adler NE, Page AEK, editors. Cancer care for the whole patient: meeting psychosocial health needs. Washington, DC: National Academies Press; 2008.

    Google Scholar 

  8. Macleod J, Davey Smith G. Psychosocial factors and public health: a suitable case for treatment? J Epidemiol Community Health. 2003;57(8):565–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. McEwen BS. Protective and damaging effects of stress mediators. N Engl J Med. 1998;338(3):171–9.

    Article  CAS  PubMed  Google Scholar 

  10. Amro OW, Ramasamy M, Strom JA, Weiner DE, Jaber BL. Nephrologist-facilitated advance care planning for hemodialysis patients: a quality improvement project. Am J Kidney Dis. 2016;68(1):103–9.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Feyi K, Klinger S, Pharro G, Mcnally L, James A, Gretton K, et al. Predicting palliative care needs and mortality in end stage renal disease: use of an at-risk register. BMJ Support Palliat Care. 2015;5(1):19–25.

    Article  PubMed  Google Scholar 

  12. Schell JO, Cohen RA. A communication framework for dialysis decision-making for frail elderly patients. Clin J Am Soc Nephrol. 2014;9(11):2014–21.

    Article  PubMed  PubMed Central  Google Scholar 

  13. O'Riordan J, Kane PM, Noble H, Beatty S, Mannion E, Murtagh C, et al. When less is more: optimizing care for elderly patients failing to thrive on dialysis. J Pain Symptom Manag. 2018;55(4):1241–5.

    Article  Google Scholar 

  14. Rak A, Raina R, Suh TT, Krishnappa V, Darusz J, Sidoti CW, et al. Palliative care for patients with end-stage renal disease: approach to treatment that aims to improve quality of life and relieve suffering for patients (and families) with chronic illnesses. Clin Kidney J. 2017;10(1):68–73.

    PubMed  Google Scholar 

  15. Brown MA, Collett GK, Josland EA, Foote C, Li Q, Brennan FP. CKD in elderly patients managed without dialysis: survival, symptoms, and quality of life. Clin J Am Soc Nephrol. 2015;10(2):260–8.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Walton LS, Shumer GD, Thorsteinsdottir B, Suh T, Swetz KM. Palliation versus dialysis for end-stage renal disease in the oldest old: what are the considerations? Palliat Care. 2017;10:1178224217735083.

    PubMed  PubMed Central  Google Scholar 

  17. Ladin K, Lin N, Hahn E, Zhang G, Koch-Weser S, Weiner DE. Engagement in decision-making and patient satisfaction: a qualitative study of older patients’ perceptions of dialysis initiation and modality decisions. Nephrol Dial Transplant. 2017;32(8):1394–401.

    PubMed  Google Scholar 

  18. Jornet AR, Castellanos LAB, Contador MIB, Morera JCO, López JAI. Usefulness of questionnaires on advance directives in haemodialysis units. Nephrol Dial Transplant. 2017;32(10):1676–82.

    Article  PubMed  Google Scholar 

  19. Bos WJW, Verberne WR. Use of a questionnaire to initiate advance care planning discussions in dialysis patients. Nephrol Dial Transplant. 2017;32(10):1599–600.

    Article  PubMed  Google Scholar 

  20. Cheung KL, Montez-Rath ME, Chertow GM, Winkelmayer WC, Periyakoil VS, Kurella Tamura M. Prognostic stratification in older adults commencing dialysis. J Gerontol A. 2014;69(8):1033–9.

    Article  Google Scholar 

  21. Grubbs V, Moss AH, Cohen LM, Fischer MJ, Germain MJ, Jassal SV, et al. A palliative approach to dialysis care: a patient-centered transition to the end of life. Clin J Am Soc Nephrol. 2014;9(12):2203–9.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Holley JL, Davison SN. Advance care planning in CKD: clinical and research opportunities. Am J Kidney Dis. 2014;63(5):739–40.

    Article  PubMed  Google Scholar 

  23. Cantor MN, Thorpe L. Integrating data on social determinants of health into electronic health records. Health Aff (Millwood). 2018;37(4):585–90.

    Article  Google Scholar 

  24. Senteio CR, Veinot TCE, Adler-Milstein J, Richardson CR. Physicians perceptions of the impact of the EHR on the collection and retrieval of psychosocial information in outpatient diabetes care. Int J Med Inform. 2018;113:9–16.

    Article  PubMed  Google Scholar 

  25. Echouffo-Tcheugui JB, Kengne AP. Risk models to predict chronic kidney disease and its progression: a systematic review. PLoS Med. 2012;9(11):e1001344.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Katsuki T, Ono M, Koseki A, Kudo M, Haida K, Kuroda J, et al. Risk prediction of diabetic nephropathy via interpretable feature extraction from EHR using convolutional autoencoder. In: Building continents of knowledge in oceans of data: the future of co-created eHealth, vol. 247: European Federation for Medical Informatics (EFMI) and IOS PressStudies in Health Technology and Informatics; 2019. p. 106–10. Available from: http://ebooks.iospress.nl/publication/48763.

  27. Cheng L-C, Hu Y-H, Chiou S-H. Applying the temporal abstraction technique to the prediction of chronic kidney disease progression. J Med Syst. 2017;41(5):85.

    Article  PubMed  Google Scholar 

  28. Futoma J, Sendak M, Cameron CB, Heller K, editors. Presented at 2016 Machine learning and healthcare conference (MLHC 2016). Los Angeles: Cornell University; 2016. https://arxiv.org/abs/1608.04615.

  29. Burckhardt P, Nagin DS, Padman R. Multi-trajectory models of chronic kidney disease progression. AMIA Annu Symp Proc. 2017;2016:1737–46.

    PubMed  PubMed Central  Google Scholar 

  30. Zhang Y, Lee JR, Chughtai B, Padman R, editors. Variable selection for chronic disease outcome prediction using a causal inference technique: a preliminary study. 2018 IEEE International Conference on Healthcare Informatics (ICHI); 2018.

  31. Perotte A, Ranganath R, Hirsch JS, Blei D, Elhadad N. Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis. J Am Med Inform Assoc. 2015;22(4):872–80.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Rolnick JA, Asch DA, Halpern SD. Delegalizing advance directives — facilitating advance care planning. N Engl J Med. 2017;376(22):2105–7.

    Article  PubMed  Google Scholar 

  33. Moss AH, Davison SN. How the ESRD quality incentive program could potentially improve quality of life for patients on Dialysis. Clin J Am Soc Nephrol. 2015;10(5):888–93.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Elliott B, Gessert C. Advance care planning among people living with Dialysis. Healthcare. 2016;4(1):17.

    Article  PubMed Central  Google Scholar 

  35. Davison SN. End-of-life care preferences and needs: perceptions of patients with chronic kidney disease. Clin J Am Soc Nephrol. 2010;5(2):195–204.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Hines SC, Glover JJ, Babrow AS, Holley JL, Badzek LA, Moss AH. Improving advance care planning by accommodating family preferences. J Palliat Med. 2001;4(4):481–9.

    Article  CAS  PubMed  Google Scholar 

  37. Morton RL, Snelling P, Webster AC, Rose J, Masterson R, Johnson DW, et al. Factors influencing patient choice of dialysis versus conservative care to treat end-stage kidney disease. CMAJ. 2012;184(5):E277–E83.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Davison SN. The ethics of end-of-life care for patients with ESRD. Clin J Am Soc Nephrol. 2012;7(12):2049–57.

    Article  PubMed  Google Scholar 

  39. Liu J, Huang Z, Gilbertson DT, Foley RN, Collins AJ. An improved comorbidity index for outcome analyses among dialysis patients. Kidney Int. 2010;77(2):141–51.

    Article  PubMed  Google Scholar 

  40. Mandel EI, Bernacki RE, Block SD. Serious illness conversations in ESRD. Clin J Am Soc Nephrol. 2017;12(5):854–63.

    Article  PubMed  Google Scholar 

  41. Janssen DJA, Spruit MA, Schols JMGA, van der Sande FM, Frenken LA, Wouters EFM. Insight into advance care planning for patients on Dialysis. J Pain Symptom Manag. 2013;45(1):104–13.

    Article  Google Scholar 

  42. Davison SN. Facilitating advance care planning for patients with end-stage renal disease: the patient perspective. Clin J Am Soc Nephrol. 2006;1(5):1023–8.

    Article  PubMed  Google Scholar 

  43. Grubbs V, Tuot DS, Powe NR, O’Donoghue D, Chesla CA. System-level barriers and facilitators for foregoing or withdrawing dialysis: a qualitative study of nephrologists in the United States and England. Am J Kidney Dis. 2017;70(5):602–10.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Aldridge MD, Hasselaar J, Garralda E, van der Eerden M, Stevenson D, McKendrick K, et al. Education, implementation, and policy barriers to greater integration of palliative care: a literature review. Palliat Med. 2016;30(3):224–39.

    Article  PubMed  Google Scholar 

  45. Hanson L, Schenck A, Burstin H. Health affairs blog. Affairs H, editor. 2014. Available from: http://healthaffairs.org/blog/2014/01/22/measuring-quality-of-care-for-older-adults-with-serious-illness/. Cited 2017. Accessed 22 Jan 2017.

  46. Axelrod DA. Economic and financial outcomes in transplantation: whose dime is it anyway? Curr Opin Organ Transplant. 2013;18(2):222–8.

    Article  PubMed  Google Scholar 

  47. Singh P, Germain MJ, Cohen L, Unruh M. The elderly patient on dialysis: geriatric considerations. Nephrol Dial Transplant. 2014;29(5):990–6.

    Article  PubMed  Google Scholar 

  48. Holley JL, Davison SN. Advance care planning for patients with advanced CKD: a need to move forward. Clin J Am Soc Nephrol. 2015;10(3):344–6.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Maddux DW, Han H-R, Chaudhuri S, Butler K, Reviriego-Mendoza MM, Larkin JW, et al., editors. Development of a novel functional status score for identification of diaylsis patients who are candidates for palliative and hospice care. Mexico: ISN World Congress of Nephrology; 2017.

  50. Eneanya ND, Maddux DW, Reviriego-Mendoza MM, Larkin JW, Usvyat LA, van der Sande FM, et al. Longitudinal patterns of health-related quality of life and dialysis modality: a national cohort study. BMC Nephrol. 2019;20(1):7.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Haras MS, Astroth KS, Hesson-McInnis M, Woith WM, Kossman SP. Nephrology nurse perceptions toward advance care planning: validation of a measure. Nephrol Nurs J. 2015;42(4):349–60.

    PubMed  Google Scholar 

  52. Kerfoot KM. Courage, leadership, and end-of-life care: when courage counts. Nurs Econ. 2012;30(3):176–8.

    PubMed  Google Scholar 

  53. De Vleminck A, Pardon K, Beernaert K, Deschepper R, Houttekier D, Van Audenhove C, et al. Barriers to advance care planning in cancer, heart failure and dementia patients: a focus group study on general practitioners’ views and experiences. PLoS One. 2014;9(1):e84905.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  54. Renal Physicians Association. Shared decision-making in the appropriate initiation of and withdrawlal from dialysis. Clinical practice guideline. 2010.

    Google Scholar 

  55. Jenders RA. Advances in clinical decision support: highlights of practice and the literature 2015-2016. Yearb Med Inform. 2017;26(01):125–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Culp S, Lupu D, Arenella C, Armistead N, Moss AH. Unmet supportive care needs in U.S. dialysis centers and lack of knowledge of available resources to address them. J Pain Symptom Manage. 2016;51(4):756–61.e2.

    Article  PubMed  Google Scholar 

  57. Ramspek CL, Voskamp PWM, van Ittersum FJ, Krediet RT, Dekker FW, van Diepen M. Prediction models for the mortality risk in chronic dialysis patients: a systematic review and independent external validation study. Clin Epidemiol. 2017;9:451–64.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.

    Article  CAS  PubMed  Google Scholar 

  59. Cohen LM, Ruthazer R, Moss AH, Germain MJ. Predicting six-month mortality for patients who are on maintenance hemodialysis. Clin J Am Soc Nephrol. 2010;5(1):72–9.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Schmidt RJ, Moss AH. Dying on dialysis: the case for a dignified withdrawal. Clin J Am Soc Nephrol. 2014;9(1):174–80.

    Article  PubMed  Google Scholar 

  61. Fadem SZ, Fadem J. Hemodialysis mortality predictor. 2018. Available from: http://touchcalc.com/calculators/sq.

    Google Scholar 

  62. QxMD. 6-month mortality on HD: estimate 6 month mortality on dialysis using the Cohen model. 2018. Available from: https://qxmd.com/calculate/calculator_135/6-month-mortality-on-hd.

    Google Scholar 

  63. Fung E, Slesnick N, Tamura MK, Schiller B. A survey of views and practice patterns of dialysis medical directors toward end-of-life decision making for patients with end-stage renal disease. Palliat Med. 2016;30(7):653–60.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Centers for Medicare & Medicaid Services. ESRD quality incentive program. 2013. Available from: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/ESRDQIP/index.html.

    Google Scholar 

  65. American Medical Association. Advance care planning: Medicare Learning Network; 2015. Available from: http://go.cms.gov/Disclaimer-MLN-Product.

  66. Centers for Medicare & Medicaid Services. Medicare comprehensive end stage renal disease care model performance year 1 (Oct 2015 - Dec 2016) results. 2017.

    Google Scholar 

  67. AHIMA. Data elements of EHR documentation. 2014. Available from: http://library.ahima.org/xpedio/groups/public/documents/ahima/bok1_034460.hcsp?dDocName=bok1_034460.

    Google Scholar 

  68. Chunchu K, Mauksch L, Charles C, Ross V, Pauwels J. A patient centered care plan in the EHR: improving collaboration and engagement. Fam Syst Health. 2012;30(3):199–209.

    Article  PubMed  Google Scholar 

  69. Estabrooks PA, Boyle M, Emmons KM, Glasgow RE, Hesse BW, Kaplan RM, et al. Harmonized patient-reported data elements in the electronic health record: supporting meaningful use by primary care action on health behaviors and key psychosocial factors. J Am Med Inform Assoc. 2012;19(4):575–82.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Glasgow RE, Kaplan RM, Ockene JK, Fisher EB, Emmons KM. Patient-reported measures of psychosocial issues and health behavior should be added to electronic health records. Health Aff (Millwood). 2012;31(3):497–504.

    Article  Google Scholar 

  71. Robert Wood Johnson Foundation. Health care’s blind side: the overlooked connection between social needs and good health. 2011. Available from: http://www.rwjf.org/content/dam/farm/reports/surveys_and_polls/2011/rwjf71795. 16 Dec 2013.

    Google Scholar 

  72. Anderson E, Aldous A, Lupu D. Make your wishes about you (MY WAY): using motivational interviewing to foster advance care planning for patients with chronic kidney disease. Nephrol Nurs J. 2018;45(5):411–21.

    PubMed  Google Scholar 

  73. Johnston G, Vukic A, Parker S. Cultural understanding in the provision of supportive and palliative care: perspectives in relation to an indigenous population. BMJ Support Palliat Care. 2013;3(1):61–8.

    Article  PubMed  Google Scholar 

  74. Cervantes L, Jones J, Linas S, Fischer S. Qualitative interviews exploring palliative care perspectives of Latinos on Dialysis. Clin J Am Soc Nephrol. 2017;12(5):788–98.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Song M-K, Donovan HS, Piraino BM, Choi J, Bernardini J, Verosky D, et al. Effects of an intervention to improve communication about end-of-life care among African Americans with chronic kidney disease. Appl Nurs Res. 2010;23(2):65–72.

    Article  PubMed  Google Scholar 

  76. Eneanya ND, Goff SL, Martinez T, Gutierrez N, Klingensmith J, Griffith JL, et al. Shared decision-making in end-stage renal disease: a protocol for a multi-center study of a communication intervention to improve end-of-life care for dialysis patients. BMC Palliat Care. 2015;14:30.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Collins M, Lehane E. Perspectives on death, dying and advance care planning from patients receiving haemodialysis. J Renal Care. 2013;39(1):5–11.

    Article  Google Scholar 

  78. Panocchia N, Tonnara G, Minacori R, Sacchini D, Bossola M, Tazza L, et al. Survey on advance care planning of Italian outpatients on chronic haemodialysis. BMJ Support Palliat Care. 2017;7(4):419.

    Article  PubMed  Google Scholar 

  79. Berzoff J, Swantkowski J, Cohen LM. Developing a renal supportive care team from the voices of patients, families, and palliative care staff. Palliat Support Care. 2008;6(2):133–9.

    Article  PubMed  Google Scholar 

  80. Bristowe K, Horsley HL, Shepherd K, Brown H, Carey I, Matthews B, et al. Thinking ahead – the need for early advance care planning for people on haemodialysis: a qualitative interview study. Palliat Med. 2015;29(5):443–50.

    Article  PubMed  PubMed Central  Google Scholar 

  81. Chambers EJ, Germain M, Brown EA. Supportive care for the renal patient. New York: Oxford University Press; 2010.

    Book  Google Scholar 

  82. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C-y. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med. 2004;351(13):1296–305.

    Article  CAS  PubMed  Google Scholar 

  83. Sud M, Tangri N, Levin A, Pintilie M, Levey AS, Naimark DM. Original investigation: CKD stage at nephrology referral and factors influencing the risks of ESRD and death. Am J Kidney Dis. 2014;63:928–36.

    Article  PubMed  Google Scholar 

  84. Taylor F, Combes G. Supporting the emotional and psychological needs of end-stage renal disease patients: study report, Appendix 6: literature review. West Midlands: Collaborations for Leadership in Applied Health Research and Care; 2014. Available from: https://warwick.ac.uk/fac/med/about/centres/clahrc/research/theme4-integrated-holistic-care-chronic-disease/publications/supporting_the_emotional_and_psychological_needs_of_esrd_appendix.pdf.

    Google Scholar 

  85. Jackson K. Nephrology social work: caring for the emotional needs of dialysis patients. Social work today; 2014.

    Google Scholar 

  86. Chang E. Living with chronic illness and disability - EBook: principles for nursing practice: Elsevier Health Sciences; 2017. p. 536.

  87. Goff SL, Unruh ML, Klingensmith J, Eneanya ND, Garvey C, Germain MJ, et al. Advance care planning with patients on hemodialysis: an implementation study. BMC Palliat Care. 2019;18(1):64.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Luckett T, Sellars M, Tieman J, Pollock CA, Silvester W, Butow PN, et al. Advance care planning for adults with CKD: a systematic integrative review. Am J Kidney Dis. 2014;63(5):761–70.

    Article  PubMed  Google Scholar 

  89. Lam D. Delivering palliative care in the dialysis setting: it’s a team effort; 2017.

    Google Scholar 

  90. Myers S. Empathic listening: reports on the experience of being heard. J Humanist Psychol. 2000;40(2):148–73.

    Article  Google Scholar 

  91. Heisler M, Resnicow K. Helping patients make and sustain healthy changes: a brief introduction to motivational interviewing in clinical diabetes care. Clin Diabetes. 2008;26(4):161–5.

    Article  Google Scholar 

  92. McCarley P. Patient empowerment and motivational interviewing: engaging patients to self-manage their own care. Nephrol Nurs J. 2009;36(4):409–13.

    PubMed  Google Scholar 

  93. Boulware LE, Hill-Briggs F, Kraus ES, Melancon JK, Falcone B, Ephraim PL, et al. Effectiveness of educational and social worker interventions to activate patients’ discussion and pursuit of preemptive living donor kidney transplantation: a randomized controlled trial. Am J Kidney Dis. 2013;61(3):476–86.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors wish to acknowledge the institutional support of the Rutgers School of Communication and Information and Dallas Nephrology Associates. We also wish to acknowledge the support of the myriad of ESRD patients, who the authors have had the privilege to provide care.

Funding

The authors have no funding source to disclose.

Author information

Authors and Affiliations

Authors

Contributions

Both authors contributed substantially to the conception of the work, and the acquisition, analysis and interpretation of the literature. CRS led the drafting of the manuscript versions and MBC provided input for important intellectual clinical content. Both authors provided final approval and agree to be accountable for all aspects of the work.

Authors’ information

CRS is an assistant professor at Rutgers University School of Communication and Information, a health informaticist, and a licensed clinical social worker.

MBC is a senior social worker at Dallas Nephrology Associates and a licensed clinical social worker.

Corresponding author

Correspondence to Charles R. Senteio.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Senteio, C.R., Callahan, M.B. Supporting quality care for ESRD patients: the social worker can help address barriers to advance care planning. BMC Nephrol 21, 55 (2020). https://doi.org/10.1186/s12882-020-01720-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12882-020-01720-0

Keywords