Skip to main content

Low rates of structured advance care planning documentation in electronic health records: results of a single-center observational study



Proper advance care planning (ACP) documentation both improves patient care and is increasingly seen as a marker of high quality by governmental payers. The transition of most medical documentation to electronic health records (EHR) allows for ACP documents to be rapidly disseminated across diverse ambulatory practice settings. At the same time, the complexity and heterogeneity of the EHR, as well as the multiple potential storage locations for documentation, may lead to confusion and inaccessibility. There has been movement to promote structured ACP (S-ACP) documentation within the EHR.


We performed a retrospective cohort study at a single, large university medical center in California to analyze rates of S-ACP documentation. S-ACP was defined as ACP documentation contained in standardized locations, auditable, and not in free-text format. The analytic cohort composed of all patients 65 and older with at least one ambulatory encounter at Stanford Health Care between 2012 and 2020, and without concurrent hospice care. We then analyzed clinic-level, provider-level, insurance, and temporal factors associated with S-ACP documentation rate.


Of 187,316 unique outpatient encounters between 2012 and 2020, only 7,902 (4.2%) contained S-ACP documentation in the EHR. The most common methods of S-ACP documentation were through problem list diagnoses (3,802; 40.3%) and scanned documents (3,791; 40.0%). At the clinic level, marked variability in S-ACP documentation was observed, with Senior Care (46.6%) and Palliative Care (25.0%) demonstrating highest rates. There was a temporal trend toward increased S-ACP documentation rate (p < 0.001).


This retrospective, single-center study reveals a low rate of S-ACP documentation irrespective of clinic and specialty. While S-ACP documentation rate should not be construed as a proxy for ACP documentation rate, it nonetheless serves as an important quality metric which may be reported to payers. This study highlights the need to both centralize and standardize reporting of ACP documentation in complex EHR systems.

Peer Review reports


Advance care planning (ACP) allows patients to make informed decisions about their medical care. Studies have shown that ACP improves communication between patients and providers, reduces unnecessary hospitalizations, and enhances patients’ quality of life [1, 2]. ACP is an ongoing process that involves the identification of values important to the patient as well as preferences regarding medical treatment, which would be documented in the medical record along with a surrogate decision maker if applicable [3]. Therefore, successful ACP requires accurate and timely documentation of goals of care discussions.

The transition of most medical documentation to electronic health records (EHR) allows for ACP documents to be rapidly disseminated across diverse ambulatory practice settings. However, the majority of ACP in the EHR is documented in the form of narrative free text, data which is difficult to locate and access. For providers to understand and act on a patient’s wishes, they require documentation that is accessible, standardized, and up-to-date. There has been movement toward structured-ACP (S-ACP) documentation [4,5,6]. S-ACP refers to ACP which is readily accessible, structured, auditable, and contained in standardized locations. Lakin et al. describes S-ACP as EHR data elements, such as advance directives and out-of-hospital code statuses, which encompass unique ACP documentation and information [4]. In contrast to patient preferences buried within free-text, such as progress notes, S-ACP has the potential to improve adherence to discussion and documentation, particularly within the EHR [7]. Moreover, S-ACP is increasingly being adopted as a key quality metric by payers [8]. The Center for Medicare and Medicaid Services (CMS) has adopted an ACP measure to ensure the existence of these critical patient-provider discussions in claims.

While prior studies have evaluated rates of ACP, few have analyzed specifically rates of S-ACP [9, 10]. Thus, we evaluated de-identified data derived from outpatient clinics at a single institution and examined rates of S-ACP documentation at the clinic level. We also sought to understand clinic- and provider-level factors which are related to S-ACP completion.


Ethics and approval

The Stanford University Institutional Review Board waived review of this study based on its classification as a quality improvement initiative.

Data sources

The study was based at Stanford Health Care (SHC), a vertically-integrated healthcare system comprising three hospitals and multiple clinics and health centers located throughout Northern California. SHC utilizes an EHR system (Epic Systems, Verona, WI) for all outpatient and inpatient clinical encounters.

Data capture and cohort creation

As part of an ongoing quality initiative, the SHC Privacy Office generated a report (accessed by AW and CBP) which incorporated data from January 2012 to May 2020. The purpose of this report was to aggregate statistics on ACP reporting and documentation, with the goal of improving reporting rates for commercial and governmental payers. This report captured data from all ambulatory clinics, all clinical departments, and all individual providers at SHC.

The primary metric was availability of S-ACP documentation in the EHR. S-ACP refers to ACP which is readily accessible, in a structured format and standardized location within the EHR, and is easily auditable through automated mechanisms [6]. S-ACP was captured through the following six sources: ACP ‘Smartform’ documentation designed by SHC through its EHR, existence of Current Procedural Terminology (CPT) coding, existence of appropriate diagnosis code in either the “Problem List” or “Encounter Diagnoses”, existence of a specified document type scanned in the media tab (Physician Orders for Life Sustaining Treatment [POLST], Advanced Directive, Living Will, or Do Not Resuscitate [DNR] directive), or the listing of an active surrogate decision maker in the EHR. A comprehensive list of definitions for S-ACP is provided in Supplemental Table 1. Existence of any of these six items in the 12 months prior to the reporting period was considered documentation of S-ACP.

Table 1 S-ACP documentation rate by clinic: encounter-level structured-advanced care planning (S-ACP) documentation rate by ambulatory clinic. Analysis restricted to clinics with at least 500 eligible encounters

All unique patients 65 years and older with at least one clinical encounter at an SHC outpatient clinic over the study period were included for analysis. The report included only patients in this age range due to the CMS Innovation’s Bundled Payments for Care Improvement Advanced Model, which rewards healthcare providers who engage in provision of high-quality care, including ACP documentation [8]. Any patient with CPT code G9692 denoting hospice use during any point of the reporting period was excluded from analysis due to the parameters of the reporting mechanism. As patients often had multiple encounters, the number of encounters (N = 1,350,787) exceeded the number of unique patients (N = 187,690).

Endpoints and analyses

The rate of S-ACP documentation in a reporting period was defined as the proportion of all unique individuals who met inclusion criteria (denominator) with S-ACP documentation in the EHR (numerator). Rates of S-ACP documentation were compared by month over the study period. Rates of S-ACP documentation were also compared for clinics, provider departments, and payers. We restricted analysis to clinics with 500 eligible encounters over the study period. Clinics were additionally classified as either ‘cancer’ or ‘non-cancer’ based on patient population served and their affiliation with the Stanford Cancer Center. Providers were classified based on training and clinical role (e.g. physician, psychologist, nurse practitioner), and we restricted analysis to provider types that logged more than 450 encounters over the study period.

The χ2 test and analysis of variance were used to assess differences in S-ACP documentation rate between and among clinics, provider departments, and payer. The Cochran-Armitage Test was used to assess linear trends in S-ACP documentation rate over time. All analyses were performed using R software (version 3.5).


Rates and methods of S-ACP documentation

The cohort comprised of 187,690 unique patients and 1,350,787 encounters over the study period. Of 187,690 patients, 7,902 (4.2%) had completed at least one form of S-ACP documentation. These 7,902 individuals had recorded 9,431 unique S-ACP documentation instances (with some individuals having multiple forms of S-ACP documentation) in the EHR. The most common methods of documentation were scanned documents (3,791; 40.0%) and by problem list diagnoses (3,802; 40.3%) (Fig. 1). Documentation of surrogate decision maker was the least common form of S-ACP documentation (0.1%).

Fig. 1
figure 1

Title: Location of structured advance care planning (S-ACP) documentation in the electronic health record (EHR). Abbreviations: current procedural terminology (CPT), diagnosis (Dx)

Monthly S-ACP documentation rates across the entire healthcare system were calculated across the 101-month reporting period (January 2012-May 2020). In Fig. 2, the proportion of encounters in each study month with S-ACP documentation is depicted. Notably, as some patients have multiple encounters, the encounter-level S-ACP documentation rate differs from the patient-level S-ACP documentation rate. The median number of encounters during the study period was 12,942 per month, and the median encounter-level S-ACP documentation rate was 9.1% per month. There was a statistically significant increase in monthly S-ACP documentation rate between January 2012 and May 2020 (p < 0.001).

Fig. 2
figure 2

Encounter-level S-ACP documentation rate by month. Number of ambulatory clinic encounters per month from January 2012 to May 2020 is denoted by blue bars (left y-axis). Proportion of encounters with structured advanced care planning (S-ACP) documentation per month denoted by the red line (right y-axis). S-ACP documentation rate increased over the study period (p < 0.001)

Analysis by clinic and provider

The S-ACP completion rate among clinics with at least 500 eligible encounters ranged from 1.2% to 46.6% (Table 1). There existed significant differences in S-ACP documentation rate among clinics (p < 0.001). The clinics with the highest S-ACP documentation rates were Senior Care (46.6%), Palliative Medicine (25.0%), Express Care (15.8%), Social Work (15.1%), and Family Medicine (13.4%). Within medical specialties, clinics were further compared based on their affiliation with the Cancer Center (Fig. 3). While we expected Cancer Center clinics to have higher S-ACP documentation rates, this was not observed in the data; in certain cases, Cancer Center clinics even had significantly lower rates of S-ACP documentation compared to non-Cancer Center clinics (Gynecology/Pelvic: p = 0.002; Plastic Surgery: p = 0.002; Urology/Kidney: p < 0.0001).

Fig. 3
figure 3

S-ACP documentation rates by clinic, stratified by oncologic status: Clinics which primarily served patients with oncologic diagnoses were classified as cancer, whereas clinics which primarily served patients with non-oncologic diagnoses were classified as non-cancer. * denotes significance at p < 0.05. Abbreviations: structured advance care planning (S-ACP)

Encounter-level S-ACP documentation was compared for providers (e.g. physician, psychologist, case manager) (Supplemental Table 2). Among provider classes, clinics run by Social Workers demonstrated the highest S-ACP documentation rate (28.9%) followed by Clinical Nurse Specialists (19.5%). Resident physician-directed clinics (11.5%) demonstrated higher S-ACP documentation compared to attending physician-directed clinics (9.3%, p < 0.001). Also notably, Nurse Practitioners (9.8%) and Physician Assistants (9.7%) demonstrated comparable if not better S-ACP documentation compared to Attending Physicians (9.3%).


S-ACP documentation is a recent though increasingly-used metric of high-quality care that is audited by payers and health system administrators. As the majority of healthcare providers now practice in systems served by EHRs, S-ACP provides important advantages to free-text ACP documentation, including standardization, ease-of-access, lower provider-level variability, and auditability. Despite these benefits, our study demonstrates that providers are not sufficiently using S-ACP to document patient preferences, even in tertiary-care settings.

Our central finding is that, over eight years, across all types of outpatient clinics at our institution, only 4.2% of patients demonstrated evidence of documented S-ACP. A temporal trend of increased S-ACP documentation was observed. Importantly, S-ACP documentation rate should not be construed as a proxy for ACP documentation rate, as it is estimated that the majority of ACP documentation (70–80%) occurs in the narrative free-text [11]. Utilizing definitions for S-ACP similar to ours, prior studies have also observed low rates for S-ACP, ranging from 13% to 43.2% in both ambulatory and emergency department settings [4, 5].

The findings from this study both highlight deficiencies in S-ACP documentation, and suggest multiple opportunities for quality improvement. One challenging aspect of ACP documentation is the non-standardized nature of documentation methods. In our analysis, six different methods of S-ACP were recorded, with the most common being problem list diagnoses and scanned copies of signed legal documents (advance directives, living wills or POLST forms). The documentation formats did not include free-text within clinic or progress notes in the EHR. Notably scanned documents are the only form of ACP documentation which contains legal signatures. In a similar population to ours (> 65 years of age), Wilson et al. found approximately half of patients within a large healthcare network had any form of ACP, and of these patients only 33% had a scanned document [12]. It is likely that many patients without S-ACP documentation may have had discussions pertaining to end-of-life care; however, the bulk of such conversational content is difficult to access in the EHR [6, 13]. Even if ACP were documented, the recorded information may be incomplete or inaccurate, a barrier to quality care which can be improved by S-ACP [4, 14].

Consistent outreach and technological innovations in the EHR could play critical roles in promoting and improving S-ACP documentation. One institution developed a hospital-wide, multi-pronged intervention to promote an ACP “Navigator” within the EHR, which served as a central digital repository for S-ACP documents [7]. This intervention resulted in increased S-ACP documentation rates by 5.3% in the first month of implementation and 1.3% monthly increase in rates thereafter compared to pre-intervention [7]. A similar effort to create an EHR Navigator in a pediatric hospital in Texas resulted in a rapid improvement in code status changes supported by appropriate documentation [14]. Other groups investigated the utility of short educational sessions between outpatient clinic visits, staff advocates for ACP discussion, or EHR reminders for providers, which significantly increased the rate of ACP discussion [15,16,17]. While S-ACP is a preferred form of documentation, in certain cases only narrative free-text documentation may be available. In these cases, harnessing natural language processing may be a useful adjunctive method to efficiently and accurately determine patient preferences [11].

SHC introduced the Serious Illness Care Program (SICP), developed by Ariadne Labs, as an institution-wide effort to facilitate ACP discussions between patients and clinicians [18]. Elements of serious illness discussions and ACP were incorporated into the SHC EHR as a shared documentation template [19]. Identifying seriously ill patients who would likely benefit from ACP through a process informed by artificial intelligence, SHC’s program reached and sustained target S-ACP completion rates of 10% at various points between July 2020 and January 2021 [19].

The importance of S-ACP is also apparent from a regulatory and health policy perspective. In 2016, CMS began reimbursing providers for holding ACP discussions with their patients [20]. The existence of auditable documentation, such as provided by S-ACP, will enhance the ability of care networks to report this quality metric to CMS and other payers. Moreover, healthcare systems can more easily track trends and improvements in S-ACP documentation compared to free-text documentation. Quality improvement research would also benefit from adoption of S-ACP, since manual chart review currently is both time-consuming and often inaccurate [11].

The results of our study should be interpreted in light of certain limitations. Given the de-identified nature of data extraction, we had limited access to patient-level covariates (such as race or language). Race, language, education, and other contextualizing patient-level variables may significantly confound or mediate the relationships we observed. We also lacked granular provider-level data (such as individual provider identification). As such, we could not provide detailed insight into provider-level factors (such as years in practice, provider type) which may impact S-ACP documentation [21].


In conclusion, in this retrospective study, we demonstrate a low rate of S-ACP documentation across ambulatory clinics in a large healthcare system. These data suggest that there exists a gap between provider-patient discussion and EHR-based documentation toward the end of life. Beyond S-ACP and in other areas of need for structured documentation, the importance of standardized documentation within rich-yet-complex EHR systems will only increase with the digitalization of healthcare.

Availability of data and materials

Data referenced in this study will be available and provided upon request by lead author, Adela Wu (



Advanced Care Planning


Centers for Medicare and Medicaid Services


Do Not Resuscitate


Physician Orders for Life Sustaining Treatment


Structured Advanced Care Planning


Stanford Health Care


Serious Illness Care Program


  1. Brinkman-Stoppelenburg A, Rietjens JAC, Van Der Heide A. The effects of advance care planning on end-of-life care: A systematic review. Palliat Med. 2014;28(8):1000–25.

    Article  PubMed  Google Scholar 

  2. Houben CHM, Spruit MA, Groenen MTJ, Wouters EFM, Janssen DJA. Efficacy of advance care planning: a systematic review and meta-analysis. J Am Med Dir Assoc. 2014;15(7):477–89.

    Article  PubMed  Google Scholar 

  3. Rietjens JAC, Sudore RL, Connolly M, et al. Definition and recommendations for advance care planning: an international consensus supported by the European association for palliative care. Lancet Oncol. 2017;18(9):e543–51.

    Article  PubMed  Google Scholar 

  4. Lakin JR, Gundersen DA, Lindvall C, et al. A yet unrealized promise: structured advance care planning elements in the electronic health record. J Palliat Med. 2021;24(8):1221–5.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Platts-Mills TF, Richmond NL, Lefebvre EM, et al. Availability of advance care planning documentation for older emergency department patients: a cross-sectional study. J Palliat Med. 2017;20(1):74–8.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Lamas D, Panariello N, Henrich N, et al. Advance care planning documentation in electronic health records: current challenges and recommendations for change. J Palliat Med. 2018;21(4):522–8.

    Article  PubMed  Google Scholar 

  7. Kantor MA, Scott BS, Abe-Jones Y, Raffel KE, Thombley R, Mourad M. Ask about what matters: an intervention to improve accessible advance care planning documentation. J Pain Symptom Manage. 2021;62(5):893–901.

    Article  PubMed  Google Scholar 

  8. Centers for Medicare and Medicaid Services. Quality Measures Fact Sheet: Advance Care Plan (ACP) (NQF #0326). 2019. Retrieved from:

  9. Bekker YAC, Suntjens AF, Engels Y, Schers H, Westert GP, Groenewoud AS. Advance care planning in primary care: a retrospective medical record study among patients with different illness trajectories. BMC Palliat Care. 2022;21(1):21.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Sun F, Lipinsky DeGette R, Cummings EC, et al. Capturing what matters: A retrospective observational study of advance care planning documentation at an academic medical center during the COVID-19 pandemic. Palliat Med. 2022;36(2):342–7.

    Article  PubMed  Google Scholar 

  11. Lindvall C, Deng CY, Moseley E, et al. natural language processing to identify advance care planning documentation in a multisite pragmatic clinical trial. J Pain Symptom Manage. 2022;63(1):e29–36.

    Article  PubMed  Google Scholar 

  12. Wilson CJ, Newman J, Tapper S, et al. Multiple locations of advance care planning documentation in an electronic health record: Are they easy to find? J Palliat Med. 2013;16(9):1089–94.

    Article  PubMed  Google Scholar 

  13. Walker E, McMahan R, Barnes D, Katen M, Lamas D, Sudore R. Advance care planning documentation practices and accessibility in the electronic health record: implications for patient safety. J Pain Symptom Manage. 2018;55(2):256–64.

    Article  PubMed  Google Scholar 

  14. Casas J, Jeppesen A, Peters L, et al. Using quality improvement science to create a navigator in the electronic health record for the consolidation of patient information surrounding pediatric end-of-life care. J Pain Symptom Manage. 2021;62(3):e218–24.

    Article  PubMed  Google Scholar 

  15. Nassikas NJ, Baird GL, Duffy CM. Improving advance care planning in a resident primary care clinic. Am J Hosp Palliat Med. 2020;37(3):185–90.

    Article  Google Scholar 

  16. Hayek S, Nieva R, Corrigan F, et al. End-of-life care planning: improving documentation of advance directives in the outpatient clinic using electronic medical records. J Palliat Med. 2014;17(12):1348–52.

    Article  PubMed  Google Scholar 

  17. Kamo N, Williams BL, Smith DL, Blackmore CC. Improving the electronic capture of advance care directives in a healthcare delivery system. J Am Geriatr Soc. 2017;65(5):973–9.

    Article  PubMed  Google Scholar 

  18. Paladino J, Bernacki R, Neville BA, et al. Evaluating an intervention to improve communication between oncology clinicians and patients with life-limiting cancer: a cluster randomized clinical trial of the serious illness care program. JAMA Oncol. 2019;5(6):801–9.

    Article  PubMed  Google Scholar 

  19. Li R, Smith M, Lu J, et al. Using AI to empower collaborative team workflows: two implementations for advance care planning and care escalation. NEJM Catal Innov Care Deliv. 2022;3(4):CAT-21.

    Google Scholar 

  20. Gupta A, Jin G, Reich A, et al. Association of billed advance care planning with end-of-life care intensity for 2017 medicare decedents. J Am Geriatr Soc. 2020;68(9):1947–53.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Hafid A, Howard M, Guenter D, et al. Advance care planning conversations in primary care: a quality improvement project using the serious illness care program. BMC Palliat Care. 2021;20(1):122.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


We would like to thank and acknowledge Jennifer Hansen of Stanford Health Care (SHC) Cancer Quality and Practice and Lisa Schilling of the SHC Privacy Office for granting access to the data. We would like to thank Janice Chou of SHC Clinical Reporting for her assistance in accessing the data. We would like to thank Sondra Hornsey of the SHC Privacy Office for her help in granting approval for disseminating the results.


AW is supported by the Agency for Healthcare Research and Quality (AHRQ) under award F32HS028747. RJH is supported by the National Cancer Institute of the National Institutes of Health (NIH) under Award Number K08CA252635, the Rutgers University Asian Resource Centers for Minority Aging Research Center under NIH/NIA Grant P30-AG0059304, and the Stanford University Department of Medicine Chair Diversity Investigator Award. CBP is a McNair Scholar supported by the McNair Medical Institute at The Robert and Janice McNair Foundation. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIH, AHRQ, Stanford University or The Robert and Janice McNair Foundation.

Author information

Authors and Affiliations



AW conceived project idea and parameters of interest. AW obtained necessary permissions and waivers for research publication. AW and RJH performed data analysis and constructed figures and tables. AW and RJH wrote the primary draft of the manuscript with support from GRC and CZ. CP supervised the project. All authors discussed the results and contributed to the final manuscript. The authors read and approved the final manuscript.

Corresponding authors

Correspondence to Adela Wu or Chirag B. Patel.

Ethics declarations

Ethics approval and consent to participate

As this project was deemed quality improvement, the Stanford Institutional Review Board granted a waiver under IRB-62281. A waiver of informed consent was granted by Stanford IRB-62281. All methods were carried out in accordance with relevant guidelines and regulations.

Consent for publication

Not applicable.

Competing interests

The authors of this study have no conflicts of interest to report.

Additional information

Publisher’s Note

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

Supplementary Information

Additional file 1:

Supplemental Table 1. Definitions of S-ACP in Electronic Health Records. Codes for structured advance care planning (S-ACP) documentation. Abbreviations: current procedural terminology (CPT), Physician Orders for Life-Sustaining Treatment (POLST). Supplemental Table 2. S-ACP Documentation Rate by Provider Type. Structured advance care planning (S-ACP) completion rates by provider type (includes providers that logged at least 450 patient encounters) based on encounters.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, A., Huang, R.J., Colón, G.R. et al. Low rates of structured advance care planning documentation in electronic health records: results of a single-center observational study. BMC Palliat Care 21, 203 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Advance care planning
  • Outpatient
  • Ambulatory
  • Clinic
  • Documentation
  • Electronic health record