Code status and resuscitation options in the electronic health record

Increasing timely code status discussions in hospitalized children with medical complexity

BACKGROUND AND OBJECTIVES

Children with medical complexity (CMC) have an increased risk of hospitalization and clinical deterioration. Documentation of code statuses concordant with family goals is rare, increasing the risk of serious unintended consequences. We aimed to increase the percentage of patients with documentation of timely code status orders (CSOs) from 5% to 80% over 6 months.

METHODS

This quality improvement project took place at one freestanding children's hospital and included patients admitted to the complex care team (CCT). Multiple plan-do-study-act cycles were performed focusing on interventions aimed at key drivers, including increasing knowledge in performing code status discussions (CSDs) and improving understanding of institutional policies. A P-chart was used to track the effect of the interventions over time by using established rules for determining special cause. Clinical deterioration events occurring with active CSOs were evaluated by using a Fisher's exact test. Pediatric palliative care (PPC) consultation rates were tracked as a balancing measure.

RESULTS

The average percentage of patients who received a CSO placed in their chart within 72 h of admission to the CCT increased from 5% to 61% over 6 months. Rates of CSO placement before clinical deterioration events improved from 9% to 44% (p = 0.04) and rates of patients who received PPC consultation remained stable (1% of patients to 5%, p = 0.16).

CONCLUSIONS

Interventions targeting knowledge in performing CSDs and multidisciplinary stakeholder engagement improved rates of code status discussions on the CCT. Further study is needed to evaluate these interventions in other practice settings.

In-Hospital Code Status Updates: Trends Over Time and the Impact of COVID-19

OBJECTIVE

The primary objective was to evaluate if the percentage of patients with missing or inaccurate code status documentation at a Trauma Level 1 hospital could be reduced through daily updates. The secondary objective was to examine if patient preferences for DNR changed during the COVID-19 pandemic.

METHODS

This retrospective study, spanning March 2019 to December 2022, compared the code status in ICU and ED patients drawn from two data sets. The first was based on historical electronic medical records (EHR), and the second involved daily updates of code status following patient admission.

RESULTS

Implementing daily updates upon admission was more effective in ICUs than in the ED in reducing missing code status documentation. Around 20% of patients without a specific code status chose DNR under the new system. During COVID-19, a decrease in ICU patients choosing DNR and an increase in full code (FC) choices were observed.

CONCLUSION

This study highlights the importance of regular updates and discussions regarding code status to enhance patient care and resource allocation in ICU and ED settings. The COVID-19 pandemic's influence on shifting patient preferences towards full code status underscores the need for adaptable documentation practices. Emphasizing patient education about DNR implications and benefits is key to supporting informed decisions that reflect individual health contexts and values. This approach will help balance the considerations for DNR and full code choices, especially during health care crises.

Impact of the COVID-19 Public Health Crisis and a Structured COVID Unit on Physician Behaviors in Code Status Ordering

Purpose: Code status orders are standard practice impacting end-of-life care for individuals. This study reviews the impact of a COVID unit on physician behaviors towards goal-concordant end-of-life care at an urban academic tertiary-care hospital. Methods: We conducted a retrospective cohort study of code status ordering on adult inpatients comparing the pre-pandemic period to patients who tested positive, negative and were not tested during the pandemic from January 1, 2019, to December 31, 2020. Results: We analyzed 59,471 unique patient encounters (n = 35,317 pre-pandemic and n = 24,154 during). 1,631 cases of COVID-19 were seen. The rate of code status orders among all inpatients increased from 22% pre-pandemic to 29% during the pandemic (P < .001). Code status orders increased for both patients who were COVID-negative (32% P < .001) and COVID-positive (65% P < .001). Being in a cohorted COVID unit increased code status ordering by an odds of 4.79 (P < .001). Compared to the pre-pandemic cohort, the COVID-positive cohort is less female (50% to 56% P < .001), more Black (66% to 61% P < .001), more Hispanic (6.5% to 5%) and less white (26% to 30% P < .001). Compared to Black patients, white patients had lower odds (.86) of code status ordering (P < .001). Other race/ethnicity categories were not significant. Conclusions: Code status ordering remains low. Compared to pre-pandemic rates, the frequency of orders placed significantly increased for all patients during the pandemic. The largest increase occurred in patients with COVID-19. This increase likely occurred due to protocols in the COVID unit and disease uncertainty.

Quality Improvement Study Using a Machine Learning Mortality Risk Prediction Model Notification System on Advance Care Planning in High-Risk Patients

BACKGROUND

Advance care planning (ACP) is an important aspect of patient care that is underutilized. Machine learning (ML) models can help identify patients appropriate for ACP. The objective was to evaluate the impact of using provider notifications based on an ML model on the rate of ACP documentation and patient outcomes.

METHODS

This was a pre-post QI intervention study at a tertiary academic hospital. Adult patients admitted to general medicine teams identified to be at elevated risk of mortality using an ML model were included in the study. The intervention consisted of notifying a provider by email and page for a patient identified by the ML model.

RESULTS

A total of 479 encounters were analyzed of which 282 encounters occurred post-intervention. The covariate-adjusted proportion of higher-risk patients with documented ACP rose from 6.0% at baseline to 56.5% (Risk Ratio (RR)= 9.42, 95% CI: 4.90 - 18.11). Patients with ACP were more than twice as likely to have code status reduced when ACP was documented (29.0% vs. 10.8% RR=2.69, 95% CI: 1.64 - 4.27). Additionally, patients with ACP had twice the odds of hospice referral (22.2% vs. 12.6% Odds Ratio=2.16, 95% CI: 1.16 - 4.01). However, patients with ACP documented had a longer mean LOS (9.7 vs. 7.6 days, Event time ratio = 1.29, 95% CI: 1.10 - 1.53).

CONCLUSION

Provider notifications using an ML model can lead to an increase in completion of ACP documentation by frontline clinicians in the inpatient setting.

General Surgery Resuscitation Preference Documentation: A Quality Improvement Initiative

BACKGROUND/PURPOSE

Documentation of resuscitation preferences is crucial for patients undergoing surgery. Unfortunately, this remains an area for improvement at many institutions. We conducted a quality improvement initiative to enhance documentation percentages by integrating perioperative resuscitation checks into the surgical workflow. Specifically, we aimed to increase the percentage of general surgery patients with documented resuscitation statuses from 82% to 90% within a 1-year period.

METHODS

Three key change ideas were developed. First, surgical consent forms were modified to include the patient's resuscitation status. Second, the resuscitation status was added to the routinely used perioperative surgical checklist. Finally, patient resources on resuscitation processes and options were updated with support from patient partners. An audit survey was distributed mid-way through the interventions to evaluate process measures.

RESULTS

The initiatives were successful in reaching our study aim of 90% documentation rate for all general surgery patients. The audit revealed a high uptake of the new consent forms, moderate use of the surgical checklist, and only a few patients for whom additional resuscitation details were added to their clinical note.

CONCLUSIONS

We successfully increased the documentation percentage of resuscitation statuses within our large tertiary care center by incorporating checks into routine forms to prompt the conversation with patients early.

Across race, ethnicity, and language: An intervention to improve advance care planning documentation unmasks health disparities

BACKGROUND

Racial and ethnic minority groups are less likely to have advance directives and living wills, despite the importance of advanced care planning (ACP) in end-of-life care. We aimed to understand the impact of an intervention to improve ACP documentation across race, ethnicity, and language on hospitalized patients at our institution.

METHODS

We launched an intervention to improve the rates of ACP documentation for hospitalized patients aged >75 or with advanced illness defined by the International Classification of Diseases 10th Revision codes. We analyzed ACP completion rates, preintervention, and intervention, and used interrupted time-series analyses to measure the differential impact of the intervention across race, ethnicity, and language.

KEY RESULTS

A total of 10,220 patients met the inclusion criteria. Overall rates of ACP documentation improved from 13.9% to 43.7% in the intervention period, with a 2.47% monthly increase in ACP documentation compared to baseline (p < .001). During the intervention period, the rate of ACP documentation increased by 2.72% per month for non-Hispanic White patients (p < .001), by 1.84% per month for Latinx patients (p < .001), and by 1.9% per month for Black patients (p < .001). Differences in the intervention trends between non-Hispanic White and Latinx patients (p = .04) and Black patients (p = .04) were significant.

CONCLUSIONS

An intervention designed to improve ACP documentation in hospitalized patients widened a disparity across race and ethnicity with Latinx and Black patients having lower rates of improvement. Our findings reinforce the need to measure the impact of quality improvement interventions on existing health disparities and to implement specific strategies to prevent worsening disparities.

Preoperative Code Status Discussion Workflows: Targets for Improvement in Multidisciplinary Pathways

CONTEXT

Discussion of perioperative code status is an important element of preoperative care and a component of the American College of Surgeons' Geriatric Surgery Verification (GSV) program. Evidence suggests code status discussions (CSDs) are not routinely performed and are inconsistently documented.

OBJECTIVES

Because preoperative decision making is a complex process spanning multiple providers, this study aims to utilize process mapping to highlight challenges associated with CSDs and inform efforts to improve workflows and implement elements of the GSV program.

METHODS

Using process mapping, we detailed workflows relating to (CSDs) for patients undergoing thoracic surgery and a possible workflow for implementing GSV standards for goals and decision-making.

RESULTS

We generated process maps for outpatient and day-of-surgery workflows relating to CSDs. In addition, we generated a process map for a potential workflow to address limitations and integrate GSV Standards for Goals and Decision Making.

CONCLUSION

Process mapping highlighted challenges associated with the implementation of multidisciplinary care pathways and indicated a need for centralization and consolidation of perioperative code status documentation.

If Your Heart Were to Stop: Characterization and Comparison of Code Status Orders in Adult Patients Admitted with COVID-19

Aim: Our aim is to characterize code status documentation for patients hospitalized with novel coronavirus 2019 (COVID-19) during the first peak of the pandemic, when prognosis, resource availability, and provider safety were uncertain. Methods: This retrospective cohort study was performed at a single tertiary academic medical center. Adult patients admitted between March 1, 2020 and October 31, 2020 who tested positive for COVID-19 were included. Demographic and hospital outcome data were collected. Code status orders during this admission and prior admissions were trended. Data were analyzed with multivariable analysis to identify predictors of code status choice. Results: A total of 720 patients were included. The majority (70%) were full code and 12% were in do-not-attempt resuscitation (DNAR) status on admission; by discharge, 20% were DNAR. Age (p < 0.001), time in the intensive care unit (ICU) (p < 0.001), and having Medicaid (p = 0.04) compared to private insurance were predictors of DNAR. Fourteen percent had no code status order. Older age (p < 0.001), time in the ICU (p = 0.01), and admission to a teaching service (p < 0.001) were associated with having an order. Of patients with a prior admission (n = 227), 33.5% previously had no code status order and 44.5% had a different code status for their COVID-19 admission. Of those with a change, most transitioned to less aggressive resuscitation preferences. Conclusions: Most patients hospitalized with COVID-19 in our study elected to be full code. Almost half of patients with prepandemic admissions had a different code status during their COVID-19 admission, with a trend toward less aggressive resuscitation preference.

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

BACKGROUND

It is important to document the domains surrounding end-of-life (EOL) care in the electronic health record (EHR). No pediatric navigator exists for these purposes.

MEASURES

Medical charts were reviewed for documentation surrounding code status and care at the time of death from January 2017 to June 2019.

INTERVENTION

Creation of a navigator in the EHR to consolidate advance care planning documents, code status orders and notes and EOL flowsheets.

OUTCOMES

After implementing the navigator, 96% code status changes had supporting documentation, an increase of 35%. The percentage of deaths supported by a psychosocial team (social worker, chaplain and certified child life specialist) increased by 25%. Post-mortem documentation became electronic. Patient level metrics began to be electronically collected.

CONCLUSIONS/LESSONS LEARNED

Little has been published regarding use of the EHR to consolidate EOL documentation in pediatrics. Development of a systematic approach to documentation is critical to providing EOL care and standardizing care delivered.

Code Status Documentation Availability and Accuracy Among Emergency Patients with End-stage Disease

INTRODUCTION

Some patients with end-stage disease who may neither want nor benefit from aggressive resuscitation receive such treatment if they cannot communicate in an emergency. Timely access to patients' current resuscitation wishes, or "code status," should be a key metric of electronic health records (EHR). We sought to determine what percentage of a cohort of patients with end-stage disease who present to the emergency department (ED) have accessible, code status documents, and for those who do, how quickly can this documentation be retrieved.

METHODS

In this cross-sectional study of ED patients with end-stage disease (eg, palliative care, metastatic malignancy, home oxygen, dialysis) conducted during purposefully sampled random accrual times we performed a standardized, timed review of available health records, including accompanying transfer documents. We also interviewed consenting patients and substitute decision makers to compare available code status documents to their current wishes.

RESULTS

Code status documentation was unavailable within 15 minutes of ED arrival in most cases (54/85, or 63%). Retrieval time was under five minutes in the rest, especially when "one click deep" in the EHR. When interviewed, 20/32 (63%) expressed "do not resuscitate" wishes, 10 of whom had no supporting documentation. Patients from assisted-living (odds ratio [OR] 6.7; 95% confidence interval [CI], 1.7-26) and long-term care facilities (OR 13; 95% CI, 2.5-65) were more likely to have a documented code status available compared to those living in the community.

CONCLUSION

The majority of patients with end-stage disease, including half of those who would not wish resuscitation from cardiorespiratory arrest, did not have code status documents readily available upon arrival to our tertiary care ED. Patients living in the community with advanced disease may be at higher risk for unwanted resuscitative efforts should they present to hospital in extremis. While easily retrievable code status documentation within the EHR shows promise, its accuracy and validity remain important considerations.

"Has Anything Changed Since Then?": A Framework to Incorporate Prior Goals-of-Care Conversations Into Decision-Making for Acutely Ill Patients

When assuming care for a seriously ill hospitalized patient, we should find documentation of previous decisions about goals of care so that our conversation takes advantage of previous discussions and reduces decision-making burden on the patient, particularly when the patient is clinically declining and time is short. This article presents a framework to help clinicians incorporate prior goals of care conversations into decision-making for an acutely ill patient. When there is strong evidence that a previous decision still applies, clinicians should, after a brief check-in about the previous decision with the patient, then present a plan consistent with their previous decision as a default option, to which they can opt out. If there is less evidence of the basis for a previous decision, clinicians should explore the thinking behind the decision and, if there is clarity about patient preferences, propose a treatment plan. If there is conflict or uncertainty about the patient's preferences, clinicians should engage in a more comprehensive goals-of-care conversation, which involves exploring the patient's understanding of their illness, patient values, and reasonable treatment options, before offering a plan. By giving the patient the ability to opt out of a previous decision they made about goals of care, rather than another choice, we make it more likely that they will receive care consistent with their known wishes.

Code status at time of rapid response activation - Impact on escalation of care?

Background

A code status documents the decision to receive or forgo cardiopulmonary resuscitation in the event of cardiac arrest. For patients who undergo a rapid response team activation (RRT) for possible escalation to an intensive care unit (ICU), the presence or absence of a code status represents a critical inflection point for guiding care decisions and resource utilization. This study characterizes the prevalence of code status at the time of RRT and how code status at RRT affects rates of intensive treatments in the ICU.

Methods

We conducted a single-center retrospective cohort study of 895 rapid response activations occurring over six months. The study included all rapid response team activations for non-obstetric adult inpatients documented in the patient chart. All data was obtained through retrospective chart review. STROBE reporting guidelines were followed.

Results

At the time of RRT activation, 56% of patients had a documented code status. Code status prevalence was much higher among medical rather than surgical services (74% vs. 13%). For patients escalated to the ICU, having a DNR code status at RRT was not associated with decreased odds of receiving cardioactive medications or advanced respiratory support. Before RRT activation, palliative care utilization was low (9%) but more than doubled after RRT (24% before discharge).

Conclusions

Barely half of the patients had an active code status at the time of RRT activation. Similar rates of invasive ICU treatments among full code and DNR patients suggest that documented code statuses do not reflect in-depth goals of care discussions, nor does it guide medical teams caring for the patient at times of decompensation.

Variation in the design of Do Not Resuscitate orders and other code status options: a multi-institutional qualitative study

BACKGROUND

US hospitals typically provide a set of code status options that includes Full Code and Do Not Resuscitate (DNR) but often includes additional options. Although US hospitals differ in the design of code status options, this variation and its impacts have not been empirically studied.

DESIGN AND METHODS

Multi-institutional qualitative study at 7 US hospitals selected for variability in geographical location, type of institution and design of code status options. We triangulated across three data sources (policy documents, code status ordering menus and in-depth physician interviews) to characterise the code status options available at each hospital. Using inductive qualitative methods, we investigated design differences in hospital code status options and the perceived impacts of these differences.

RESULTS

The code status options at each hospital varied widely with regard to the number of code status options, the names and definitions of code status options, and the formatting and capabilities of code status ordering menus. DNR orders were named and defined differently at each hospital studied. We identified five key design characteristics that impact the function of a code status order. Each hospital's code status options were unique with respect to these characteristics, indicating that code status plays differing roles in each hospital. Physician participants perceived that the design of code status options shapes communication and decision-making practices about resuscitation and life-sustaining treatments, especially at the end of life. We identified four potential mechanisms through which this may occur: framing conversations, prompting decisions, shaping inferences and creating categories.

CONCLUSIONS

There are substantive differences in the design of hospital code status options that may contribute to known variability in end-of-life care and treatment intensity among US hospitals. Our framework can be used to design hospital code status options or evaluate their function.

Early Palliative Care Consultation in the Medical ICU: A Cluster Randomized Crossover Trial

OBJECTIVES

To assess the impact of early triggered palliative care consultation on the outcomes of high-risk ICU patients.

DESIGN

Single-center cluster randomized crossover trial.

SETTING

Two medical ICUs at Barnes Jewish Hospital.

PATIENTS

Patients (n = 199) admitted to the medical ICUs from August 2017 to May 2018 with a positive palliative care screen indicating high risk for morbidity or mortality.

INTERVENTIONS

The medical ICUs were randomized to intervention or usual care followed by washout and crossover, with independent assignment of patients to each ICU at admission. Intervention arm patients received a palliative care consultation from an interprofessional team led by board-certified palliative care providers within 48 hours of ICU admission.

MEASUREMENTS AND MAIN RESULTS

Ninety-seven patients (48.7%) were assigned to the intervention and 102 (51.3%) to usual care. Transition to do-not-resuscitate/do-not-intubate occurred earlier and significantly more often in the intervention group than the control group (50.5% vs 23.4%; p < 0.0001). The intervention group had significantly more transfers to hospice care (18.6% vs 4.9%; p < 0.01) with fewer ventilator days (median 4 vs 6 d; p < 0.05), tracheostomies performed (1% vs 7.8%; p < 0.05), and postdischarge emergency department visits and/or readmissions (17.3% vs 38.9%; p < 0.01). Although total operating cost was not significantly different, medical ICU (p < 0.01) and pharmacy (p < 0.05) operating costs were significantly lower in the intervention group. There was no significant difference in ICU length of stay (median 5 vs 5.5 d), hospital length of stay (median 10 vs 11 d), in-hospital mortality (22.6% vs 29.4%), or 30-day mortality between groups (35.1% vs 36.3%) (p > 0.05).

CONCLUSIONS

Early triggered palliative care consultation was associated with greater transition to do-not-resuscitate/do-not-intubate and to hospice care, as well as decreased ICU and post-ICU healthcare resource utilization. Our study suggests that routine palliative care consultation may positively impact the care of high risk, critically ill patients.

Advance Directives and Code Status Information Exchange: A Consensus Proposal for a Minimum Set of Attributes

Documentation of code status and advance directives for end-of-life (EOL) care improves care and quality of life, decreases cost of care, and increases the likelihood of an experience desired by the patient and his/her family. However, the use of advance directives and code status remains low and only a few organizations maintain code status in electronic form. Members of the American Medical Informatics Association's Ethics Committee identified a need for a patient's EOL care wishes to be documented correctly and communicated easily through the electronic health record (EHR) using a minimum data set for the storage and exchange of code status information. After conducting an environmental scan that produced multiple resources, Ethics Committee members used multiple conference calls and a shared document to arrive at consensus on the proposed minimum data set. Ethics Committee members developed a minimum required data set with links to the HL7 C_CDA Advance Directives Module. Data categories include information on the organization obtaining the code status information, the patient, any supporting documentation, and finally the desired code status information including mandatory, optional, and conditional elements. The "minimum set of attributes" to exchange advance directive / code status data described in this manuscript enables communication of patient wishes across multiple providers and health care settings. The data elements described serve as a starting point for a dialog among informatics professionals, physicians experienced in EOL care, and EHR vendors, with the goal of developing standards for incorporating this functionality into the EHR systems.

Exploring Perceptions of Health Care Providers' Use of Electronic Advance Directive Forms in Electronic Health Records

The current study explored the perceptions of health care providers' use of electronic advance directive (AD) forms in the electronic health record (EHR). The Technology Acceptance Model (TAM) was used to guide the study. Of 165 surveys distributed, 151 participants (92%) responded. A moderately strong positive correlation was noted between perceived usefulness and actual system usage (r = 0.70, p < 0.0001). Perceived ease of use and actual system usage also had a moderately strong positive correlation (r = 0.70, p < 0.0001). In contrast, the strength of the relationship between behavioral intention to use and actual system usage was more modest (r = 0.22, p < 0.004). There was a statistically significant difference in actual system usage of electronic ADs across six departments (χ²[5] = 79.325, p < 0.001). The relationships among primary TAM constructs found in this research are largely consistent with previous TAM studies, with the exception of behavioral intention to use, which is slightly lower. These data suggest that health care providers' perceptions have great influence on the use of electronic ADs. [Journal of Gerontological Nursing, 45(1), 17-21.].

Association between hospital rates of early Do-Not-Resuscitate orders and favorable neurological survival among survivors of inhospital cardiac arrest

BACKGROUND

Current guidelines recommend deferring prognostication for 48 to 72 hours after resuscitation from inhospital cardiac arrest. It is unknown whether hospitals vary in making patients who survive an arrest Do-Not-Resuscitate (DNR) early after resuscitation and whether a hospital's rate of early DNR is associated with its rate of favorable neurological survival.

METHODS

Within Get With the Guidelines-Resuscitation, we identified 24,899 patients from 236 hospitals who achieved return of spontaneous circulation (ROSC) after inhospital cardiac arrest between 2006 and 2012. Hierarchical models were constructed to derive risk-adjusted hospital rates of DNR status adoption ≤12 hours after ROSC and risk-standardized rates of favorable neurological survival (without severe disability; Cerebral Performance Category ≤2). The association between hospitals' rates of early DNR and favorable neurological survival was evaluated using correlation statistics.

RESULTS

Of 236 hospitals, 61.7% were academic, 83% had ≥200 beds, and 94% were urban. Overall, 5577 (22.4%) patients were made DNR ≤12 hours after ROSC. Risk-adjusted hospital rates of early DNR varied widely (7.1%-40.5%, median: 22.7% [IQR: 19.3%-26.1%]; median OR of 1.48). Significant hospital variation existed in risk-standardized rates of favorable neurological survival (3.5%-44.8%, median: 25.3% [IQR: 20.2%-29.4%]; median OR 1.72). Hospitals' risk-adjusted rates of early DNR were inversely correlated with their risk-standardized rates of favorable neurological survival (r=-0.179, P=.006).

CONCLUSIONS

Despite current guideline recommendations, many patients with inhospital cardiac arrest are made DNR within 12 hours after ROSC, and hospitals vary widely in rates of early DNR. Higher hospital rates of early DNR were associated with worse meaningful survival outcomes.

Utilizing the Electronic Health Record to Improve Advance Care Planning: A Systematic Review

PURPOSE

Advance care planning may ensure care that is concordant with patient wishes. However, advance care plans are frequently absent when needed due to failure to engage patients in planning, inability to access prior documentation, or poor documentation quality. Interventions utilizing tools within the electronic health record (EHR) may address these barriers at the point of care. We aimed to identify EHR interventions previously utilized to improve advance care plans.

METHODS

We systematically searched 7 databases for observational and experimental studies of EHR interventions associated with advance care plans. We abstracted information on the study populations, EHR and non-EHR components of the interventions, and the efficacy for advance care plan-related outcomes.

RESULTS

We identified 16 articles that contained an EHR intervention to improve advance care plans. Study populations, study designs, and EHR components of the interventions were heterogeneous. Documentation templates were the most common EHR tool reported (n = 8), followed by automated prompts (n = 7) and electronic order sets (n = 5). The most common reported outcomes were documentation of an advance care planning conversation in the EHR (n = 7) and the placement of code status orders (n = 7). All studies reporting efficacy (n = 9) demonstrated an improvement in 1 or more advance care planning outcomes.

CONCLUSIONS

The use of EHR interventions may improve advance care plan completion and availability at the point of care. Further work should seek to develop and evaluate standardized EHR tools for advance care planning.

Code Status Reconciliation to Improve Identification and Documentation of Code Status in Electronic Health Records

BACKGROUND

Code status (CS) of a patient (part of their end-of-life wishes) can be critical information in healthcare delivery, which can change over time, especially at transitions of care. Although electronic health record (EHR) tools exist for medication reconciliation across transitions of care, much less attention is given to CS, and standard EHR tools have not been implemented for CS reconciliation (CSR). Lack of CSR creates significant potential patient safety and quality of life issues.

OBJECTIVE

To study the tools, workflow, and impact of clinical decision support (CDS) for CSR.

METHODS

We established rules for CS implementation in our EHR. At admission, a CS is required as part of a patient's admission order set. Using standard CDS tools in our EHR, we built an interruptive alert for CSR at discharge if a patient did not have the same inpatient (current) CS at discharge as that prior to admission CS.

RESULTS

Of 80,587 admissions over a four year period (2 years prior to and post CSR implementation), CS discordance was seen in 3.5% of encounters which had full code status prior to admission, but Do Not Resuscitate (DNR) CS at discharge. In addition, 1.4% of the encounters had a different variant of the DNR CS at discharge when compared with CS prior to admission. On pre-post CSR implementation analysis, DNR CS per 1000 admissions per month increased significantly among patients discharged and in patients being admitted (mean ± SD: 85.36 ± 13.69 to 399.85 ± 182.86, p<0.001; and 1.99 ± 1.37 vs 16.70 ± 4.51, p<0.001, respectively).

CONCLUSION

EHR enabled CSR is effective and represents a significant informatics opportunity to help honor patients' end-of-life wishes. CSR represents one example of non-medication reconciliation at transitions of care that should be considered in all EHRs to improve care quality and patient safety.

Discussion of "Representation of People's Decisions in Health Information Systems: A Complementary Approach for Understanding Health Care Systems and Population Health"

This article is part of a For-Discussion-Section of Methods of Information in Medicine about the paper "Representation of People's Decisions in Health Information Systems: A Complementary Approach for Understanding Health Care Systems and Population Health" written by Fernan Gonzalez Bernaldo de Quiros, Adriana Ruth Dawidowski, and Silvana Figar. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the paper of de Quiros, Dawidowski, and Figar. In subsequent issues the discussion can continue through letters to the editor.

Mayo Registry for Telemetry Efficacy in Arrest (MR TEA) study: An analysis of code status change following cardiopulmonary arrest

INTRODUCTION

Code status discussions are important during a hospitalization, yet variation in its practice exists. No data have assessed the likelihood of patients to change code status following a cardiopulmonary arrest.

METHODS

A retrospective review of all patients that experienced a cardiopulmonary arrest between May 1, 2008 and June 30, 2014 at an academic medical center was performed. The proportion of code status modifications to do not resuscitate (DNR) from full code was assessed. Baseline clinical characteristics, resuscitation factors, and 24-h post-resuscitation, hospital, and overall survival rates were compared between the two subsets.

RESULTS

A total of 157 patients survived the index event and were included. One hundred and fifteen (73.2%) patients did not have a change in code status following the index event, while 42 (26.8%) changed code status to DNR. Clinical characteristics were similar between subsets, although patients in the change to DNR subset were older (average age 67.7 years) compared to the full code subset (average age 59.2 years; p = 0.005). Patients in the DNR subset had longer overall resuscitation efforts with less attempts at defibrillation. Compared to the DNR subset, patients that remained full code demonstrated higher 24-h post-resuscitation (n = 108, 93.9% versus n = 32, 76.2%; p = 0.001) and hospital (n = 50, 43.5% versus n = 6, 14.3%; p = 0.001) survival rates. Patients in the DNR subset were more likely to have neurologic deficits on discharge and shorter overall survival.

CONCLUSIONS

Patient code status wishes do tend to change during critical periods within a hospitalization, adding emphasis for continued code status evaluation.