Use of a Clinically Derived Risk Calculator to Assess Advance Care Planning for Elderly Veterans in the Outpatient Setting
DOI:
https://doi.org/10.17140/PMHCOJ-4-129Keywords:
Advance care planning (ACP), Clinical risk calculator, Elderly veteransAbstract
BackgroundOnly a third of Americans have completed an advance directive, however completion of advance directives helps to protect patient autonomy and promotes engagement and discussion of goals of care. Primary care physicians have the ability to longi-tudinally engage patients in effective conversations about their wishes toward end-of-life care. Electronic health record (EHR) tools can help clinicians to identify high–risk patients appropriate for advance care planning (ACP). Over 60% of deaths are out of hospital deaths.
Methods
We utilized the care assessment of need (CAN), an electronic medical record (EMR) dashboard tool available for all primary care patients treated at the Department of Veterans Affairs, to risk-stratify the 101,000 Tennessee Valley Healthcare System patient population. Patients identified as highest-risk individuals appropriate for ACP were assessed for completion of advance directives.
Results
For patients with a score of CAN-99 (12-month probability of hospitalization or death=44.8%), N=341, 63.6% had documented advance directives. Some 13.8% of CAN-99 patients received palliative care consults with 77% of these delivered during an inpa-tient stay. Another 10.5% of CAN-99 patients expired within 6 months and 39% of these received palliative care consults. Patients enrolled in the geriatric patient centered medical home (GeriPACT) were more likely to receive a palliative care consult (33% versus12%, p<0.001) and to have completed advance directives compared to patients paneled in primary care (80% versus 58%, p<0.05).
Conclusion
A clinically derived risk calculator can identify patients appropriate for ACP. High-risk patients enrolled in a geriatric clinic have a higher likelihood of palliative care consultation and ACP completion. A minority of ACP for these high-risk patients is performed in the outpatient department, suggesting an opportunity to expand ACP for high-risk patients in the outpatient setting.
References
Agency for Healthcare Research and Quality. 2006. The high 17 Powers JS, et al concentration of US healthcare expenditures. Website: https:// meps.ahrq.gov/data_files/publications/st455/stat455.pdf. Ac-cessed November 17, 2017.
National Academy of Medicine. Effective care for high need patients: Opportunities for improving outcomes, value, and health. Website: https://nam.edu/initiatives/clinician-resilience-and-well-being/effective-care-for-high-need-patients/. Accessed Novem-ber 17, 2017.
Fihn S, Tami Box PhD Office of Informatics, Analytics Vet-erans Health Administration. Care assessment need (CAN) score and the patient care assessment system (PCAS): Tools for care management. Website: https://www.hsrd.research.va.gov/for_re-searchers/cyber_seminars/archives/713-notes.pdf. Accessed June 16, 2018.
Wong ES, Rosland AM, Fihn SD, Nelson KM. Patient-centered medical home implementation in the veterans health administra-tion and primary care use: Differences by patient comorbidity burden. J Gen Intern Med. 2016; 31(12): 1467-1474. doi: 10.1007/ s11606-016-3833-9
Wang L, Porter B, Maynard C, et al. Predicting risk of hospital-ization or death among patients receiving primary care in the Vet-erans health administration. Med Care. 2013; 51(4): 368-373. doi: 10.1097/MLR.0b013e31827da95a
Powers JS, Moseley M, Abraham L, et al. Implementation of a geriatric patient-centered medical home: The geriatric patient – aligned care team (GeriPACT). OMB Geriatrics. 2018; 2(3). doi: 10.21926/obm.geriatr.1803008
Department of Veterans Affairs, Veterans Health Administra-tion. Patient aligned care team (Geri-PACT) Handbook. Website: https://www.va.gov/vhapublications/ViewPublication.asp?pub_ ID=3115. Accessed November 17, 2017.
Ogrinc G, Mooney SE, Estrada C, et al. The SQUIRE (Stan-dards for quality improvement reporting excellence) guidelines for quality improvement reporting: Explanation and elabora-tion. Website: http://www.equator-network.org/wp-content/up-loads/2012/12/SQUIRE-2.0-checklist.pdf. Accessed September 7, 2018.
Hempel S, Shekelle PG, Liu JL, et al. Development of the quality improvement minimum quality criteria set (QI-MQCS): A tool for critical appraisal of quality improvement intervention publications. BMJ Qual Saf. 2015; 24: 796-804. doi: 10.1136/bmjqs-2014-003151
Yadav KN, Gabler NB, Cooney E, et al. Approximately one in three US adults completes any type of advance directive for end-of-life care. Health Aff (Millwood). 2017; 36: 1244-1251. doi: 10.1377/hlthaff.2017.0175
Department of Veterans Affairs. VHA support service center capital assets (VSSC). Website: https://catalog.data.gov/dataset/ Original Research | Volume 4 | Number 1| vha-support-service-center-capital-assets-vssc. Accessed October 9, 2018.
QuickStats: Percentage Distribution of Deaths, by Place of Death – United states, 2000-2014. MMWR Morb Mortal Wkly Rep. 2016; 65: 357. doi: 10.15585/mmwr.6513a6
Xie C, Powers JS. Enhancing advance care planning in a ge-riatric clinic. Palliat Med Hosp Care Open J. 2018; 4(1): 1-6. doi: 10.17140/PMHCOJ-4-126
Luu NP, Nigrin C, Pears K, et al. Increasing advance care plan-ning completiin at an academic internal medicine outpatient clinic. J Pain Symptom Manage. 2017; 54: 383-386. doi: 10.1016/j.jpainsym-man.2017.05.006
Curtis JR, Downey L, black AL, et al. Effect of a patient and clinician communication-priming intervention on patient reported goals-of-care discussions patients with serious illness and clini-cians: A randomized clinical trial. JAMA Intern Med. 2018; 178: 930 -940. doi: 10.1001/jamainternmed.2018.2317
Mitchell SL, Shaffer ML, Cohen S, et al. An advance care plan-ning video decision support tool for nursing home residents with advanced dementia: A cluster randomized clinical trial. JAMA Intern Submit your article to this journal | https://openventio.org/submit-manuscript/ Original Research | Volume 4 | Number 1| Powers JS, et al Med. 2018; 178: 961-969. doi: 10.1001/jamainternmed.2018.1506
Bonsignore L, Bloom N, Steinhauser K, et al. Evaluating the feasibility and acceptability of a telehealth program in a rural pal-liative care population: Tap cloud for palliative care. J Pain Symptom Manage. 2018; 56: 7-14. doi: 10.1016/j.jpainsymman.2018.03.013
Department of Veterans Affairs. Geriatrics and extended care data assessment center (GECDAC) - Measures. Website: https:// www.va.gov/geriatrics/gecdac/measures.asp. Accessed July 21, 2018.
Department of Veterans Affairs. Geriatrics and extended care data assessment center (GECDAC) - GeriPACT. Website: https:// reports.vssc.med.va.gov/ReportServer/Pages/ReportViewer. aspx?%2fGeriatrics%2fGeriPACT%2fGeriPACT_Dashboard_ ver2&rs:Command=Render. Accessed July 21, 2018.
JEN Associates. A brief introduction to the JEN frailty index (JFI). Website: www.jen.com/jfi.html. Accessed August 13, 2018.
Yoon J, Chang E, Rubenstein LV, et al. Impact of primary care intensive management on high-risk veterans’ costs and utilization: A randomized quality improvement trial. Ann Intern Med. 2018; 168(12): 846-854. doi: 10.7326/M17-3039
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