A systematic review of the use of the electronic health record for patient identification, communication, and clinical support in palliative care

Electronic Health Record Tracking of Psychosocial Care in the Context of Serious Illness: A Narrative Review

Objective: The electronic health record (EHR) has emerged as a fundamental tool but has focused on physical care delivery. Psychosocial screenings and interventions are central to palliative care that supports whole person care models; however, EHR innovations to capture psychosocial care have not been optimized. Material and Methods: A narrative review was conducted from 2009 to March 2023. EMBASE, PubMed, and PsychINFO were queried to identify articles that discussed EHR tracking of psychosocial care in palliative care. Results: Eight articles met inclusion criteria representing a broad range of works in palliative care. Three themes emerged in the narrative review: (a) quality improvement strategy to support EHR tracking in collaboration with key stakeholders, (b) clarification of psychosocial domains for documentation and measurement, and (c) lack of standardization in data collection tools and processes. Discussion: This narrative review contributes to a limited body of literature on EHR extraction of complex sources of distress in palliative care. The designation of four domains (social history and distress, psychological symptoms, spiritual needs, and patients' goals and preferences) defines psychosocial practice aligned with palliative care quality metrics. Recommendations highlight the importance of shared priorities and collaboration with key stakeholders to fully execute on the clinical utility of EHRs. Future work will continue to evaluate data collection tools and systematic approaches to capture psychological needs and social environment and its impact on health outcomes and quality of life. Conclusion: This review will expand on opportunities for automated reporting of psychosocial care in the context of seriously ill.

Healthcare personnel's perspectives on health technology in home-based pediatric palliative care: a qualitative study

BACKGROUND

In the context of pediatric palliative care, where the quality of life of children with life-limiting or life-threatening conditions is of utmost importance, the integration of health technology must support the provision of care. Research has highlighted the role of healthcare personnel when utilizing health technology in home-based pediatric palliative care, but specific knowledge of healthcare personnel's views on the technological relevance remains limited. Therefore, our study has explored potentials and limitations of health technology in home-based pediatric palliative care from the perspectives of healthcare personnel.

METHODS

Our study utilized a qualitative, descriptive, and exploratory design, including five focus groups with a total of 22 healthcare personnel. The participants were selected from various health regions in Norway and were experienced in providing home-based pediatric palliative care. Using reflexive thematic analysis, we interpreted data obtained from focus groups, identified patterns, and developed themes.

RESULTS

The analysis resulted in the development of three intersecting themes: balancing in-person interaction and time in home-based pediatric palliative care; exchange of information can improve timely and appropriate care; and the power of visual documentation in pediatric palliative care. The healthcare personnel acknowledged difficulties in fully replacing in-person interaction with health technology. However, they also emphasized potentials of health technology to facilitate information sharing and the ability to access a child's health record within interdisciplinary teams.

CONCLUSION

The results underscored that technology can support pediatric palliative care but must be thoughtfully integrated to ensure an individualized patient-centered approach. To maximize the benefits of health technology in enhancing home-based pediatric palliative care, future research should address the limitations of current health technology and consider the opinions for information sharing between relevant healthcare team members, the child, and their family.

Barriers and facilitators of electronic patient-reported outcome measures (e-PROMs) for patients in home palliative cancer care: a qualitative study of healthcare professionals' perceptions

BACKGROUND

Patient-reported outcomes in palliative care enable early monitoring and management of symptoms that most impact patients' daily lives; however, there are several barriers to adopting electronic Patient-reported Outcome Measures (e-PROMs) in daily practice. This study explored the experiences of health care professionals (HCPs) regarding potential barriers and facilitators in implementing e-PROMs in palliative cancer care at home.

METHODS

This was a qualitative descriptive study. The data were collected from two focus groups structured according to the conceptual framework of Grol. HCPs involved in home palliative cancer care of Fondazione IRCCS Istituto Nazionale dei Tumori of Milan were enrolled. Data were analyzed using a reflexive thematic analysis.

RESULTS

A total of 245 codes were generated, 171 for the first focus group and 74 for the second focus group. The results were subdivided into subthemes according to Grol's themes: Innovation, Individual professional, Patient, Social context, Organizational context, except Economic Political context. Nine HCPs attended the first focus group, and ten attended the second. According to these participants, e-PROMs could be integrated into clinical practice after adequate training and support of HCPs at all stages of implementation. They identified barriers, especially in the social and organizational contexts, due to the uniqueness of the oncological end-of-life setting and the intangible care interventions, as well as many facilitators for the innovation that these tools bring and for improved communication with the patient and the healthcare team.

CONCLUSIONS

e-PROMs are perceived by HCPs as adding value to patient care and their work; however, barriers remain especially related to the fragility of these patients, the adequacy of technological systems, lack of education, and the risk of low humanization of care.

Clinical Decision Support Systems for Palliative Care Management: A Scoping Review

CONTEXT

With the expansion of palliative care services in clinical settings, clinical decision support systems (CDSSs) have become increasingly crucial for assisting bedside nurses and other clinicians in improving the quality of care to patients with life-limiting health conditions.

OBJECTIVES

To characterize palliative care CDSSs and explore end-users' actions taken, adherence recommendations, and clinical decision time.

METHODS

The CINAHL, Embase, and PubMed databases were searched from inception to September 2022. The review was developed following the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews guidelines. Qualified studies were described in tables and assessed the level of evidence.

RESULTS

A total of 284 abstracts were screened, and 12 studies comprised the final sample. The CDSSs selected focused on identifying patients who could benefit from palliative care based on their health status, making referrals to palliative care services, and managing medications and symptom control. Despite the variability of palliative CDSSs, all studies reported that CDSSs assisted clinicians in becoming more informed about palliative care options leading to better decisions and improved patient outcomes. Seven studies explored the impact of CDSSs on end-user adherence. Three studies revealed high adherence to recommendations while four had low adherence. Lack of feature customization and trust in guideline-based in the initial stages of feasibility and usability testing were evident, limiting the usefulness for nurses and other clinicians.

CONCLUSION

This study demonstrated that implementing palliative care CDSSs can assist nurses and other clinicians in improving the quality of care for palliative patients. The studies' different methodological approaches and variations in palliative CDSSs made it challenging to compare and validate the applicability under which CDSSs are effective. Further research utilizing rigorous methods to evaluate the impact of clinical decision support features and guideline-based actions on clinicians' adherence and efficiency is recommended.

Provider Interaction With an Electronic Health Record Notification to Identify Eligible Patients for a Cluster Randomized Trial of Advance Care Planning in Primary Care: Secondary Analysis

BACKGROUND

Advance care planning (ACP) improves patient-provider communication and aligns care to patient values, preferences, and goals. Within a multisite Meta-network Learning and Research Center ACP study, one health system deployed an electronic health record (EHR) notification and algorithm to alert providers about patients potentially appropriate for ACP and the clinical study.

OBJECTIVE

The aim of the study is to describe the implementation and usage of an EHR notification for referring patients to an ACP study, evaluate the association of notifications with study referrals and engagement in ACP, and assess provider interactions with and perspectives on the notifications.

METHODS

A secondary analysis assessed provider usage and their response to the notification (eg, acknowledge, dismiss, or engage patient in ACP conversation and refer patient to the clinical study). We evaluated all patients identified by the EHR algorithm during the Meta-network Learning and Research Center ACP study. Descriptive statistics compared patients referred to the study to those who were not referred to the study. Health care utilization, hospice referrals, and mortality as well as documentation and billing for ACP and related legal documents are reported. We evaluated associations between notifications with provider actions (ie, referral to study, ACP not documentation, and ACP billing). Provider free-text comments in the notifications were summarized qualitatively. Providers were surveyed on their satisfaction with the notification.

RESULTS

Among the 2877 patients identified by the EHR algorithm over 20 months, 17,047 unique notifications were presented to 45 providers in 6 clinics, who then referred 290 (10%) patients. Providers had a median of 269 (IQR 65-552) total notifications, and patients had a median of 4 (IQR 2-8). Patients with more (over 5) notifications were less likely to be referred to the study than those with fewer notifications (57/1092, 5.2% vs 233/1785, 13.1%; P<.001). The most common free-text comment on the notification was lack of time. Providers who referred patients to the study were more likely to document ACP and submit ACP billing codes (P<.001). In the survey, 11 providers would recommend the notification (n=7, 64%); however, the notification impacted clinical workflow (n=9, 82%) and was difficult to navigate (n=6, 55%).

CONCLUSIONS

An EHR notification can be implemented to remind providers to both perform ACP conversations and refer patients to a clinical study. There were diminishing returns after the fifth EHR notification where additional notifications did not lead to more trial referrals, ACP documentation, or ACP billing. Creation and optimization of EHR notifications for study referrals and ACP should consider the provider user, their workflow, and alert fatigue to improve implementation and adoption.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03577002; https://clinicaltrials.gov/ct2/show/NCT03577002.

Measurement equivalence of the paper-based and electronic version of the Integrated Palliative care Outcome Scale (IPOS): A randomised crossover trial

BACKGROUND

The Integrated Palliative Care Outcome Scale (IPOS) validly and reliably measures symptoms and concerns of those receiving palliative care.

AIM

To determine the equivalence of the paper version with an electronic version of the IPOS (eIPOS).

DESIGN

Multicentre randomised crossover trial (NCT03879668) with a within-subject comparison of the two modes (washout period 30 min).

SETTING/PARTICIPANTS

Convenience sample of specialist inpatient and palliative home care patients aged over 18 years with cancer and non-cancer conditions was recruited. Scores were compared using intraclass correlation coefficients (ICC), Bland-Altman plots and via a mixed-effects analysis of variance.

RESULTS

Fifty patients were randomised to complete paper-electronic (n = 24) and electronic-paper (n = 26) IPOS with median age 69 years (range 24-95), 56% male, 16% non-cancer. The ICCs showed very high concordance for the total score (ICC 0.99, 95% CI 0.98-1.00), lowest ICCs being observed for symptoms 'Appetite loss' and 'Drowsiness' (ICC 0.95, 95% CI 0.92-0.97). Nine of seventeen items had ICCs above 0.98, as did all subscales. No statistically significant mode, order, age, and interaction effects were observed for IPOS total score and subscales, except for 'Communication' (F_mode = 5.9, p = 0.019). Fifty-eight percent preferred the electronic version. In the group 75+ years, 53% preferred the paper version. Only three entries in the free-text main problems differed between the versions.

CONCLUSION

The very high equivalence in scores and free text between the IPOS and the eIPOS demonstrates that eIPOS is feasible and reliable in an older palliative population.

Top Ten Tips Palliative Care Clinicians Should Know About Leveraging the Electronic Health Record for Data Collection and Quality Improvement

As palliative care (PC) programs rapidly grow and expand across settings, the need to measure, improve, and standardize high-quality PC has also grown. The electronic health record (EHR) is a key component of these efforts as a central hub of care delivery and a repository of patient and system data. Deliberate efforts to leverage the EHR for PC quality improvement (QI) can help PC programs and health systems improve care for patients with serious illnesses. This article, written by clinicians with experience in QI, informatics, and clinical program development, provides practical tips and guidance on EHR strategies and tools for QI and quality measurement.

Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review

BACKGROUND

With the accumulation of electronic health records and the development of artificial intelligence, patients with cancer urgently need new evidence of more personalized clinical and demographic characteristics and more sophisticated treatment and prevention strategies. However, no research has systematically analyzed the application and significance of artificial intelligence based on electronic health records in cancer care.

OBJECTIVE

The aim of this study was to conduct a review to introduce the current state and limitations of artificial intelligence based on electronic health records of patients with cancer and to summarize the performance of artificial intelligence in mining electronic health records and its impact on cancer care.

METHODS

Three databases were systematically searched to retrieve potentially relevant papers published from January 2009 to October 2020. Four principal reviewers assessed the quality of the papers and reviewed them for eligibility based on the inclusion criteria in the extracted data. The summary measures used in this analysis were the number and frequency of occurrence of the themes.

RESULTS

Of the 1034 papers considered, 148 papers met the inclusion criteria. Cancer care, especially cancers of female organs and digestive organs, could benefit from artificial intelligence based on electronic health records through cancer emergencies and prognostic estimates, cancer diagnosis and prediction, tumor stage detection, cancer case detection, and treatment pattern recognition. The models can always achieve an area under the curve of 0.7. Ensemble methods and deep learning are on the rise. In addition, electronic medical records in the existing studies are mainly in English and from private institutional databases.

CONCLUSIONS

Artificial intelligence based on electronic health records performed well and could be useful for cancer care. Improving the performance of artificial intelligence can help patients receive more scientific-based and accurate treatments. There is a need for the development of new methods and electronic health record data sharing and for increased passion and support from cancer specialists.

Using routine databases to evaluate Electronic Palliative Care Co-ordination Systems (EPaCCS)

In response to the government's drive to expand Electronic Palliative Care Co-ordination Systems (EPaCCS) across England by 2020, further evidence for this intervention needs to be established quickly. With palliative and end-of-life care research being an underfunded area, the availability and lower costs of routine databases make it an attractive resource to integrate into studies evaluating EPaCCS without jeopardising research quality. This article describes how routine databases can be used to address the current paucity of high-quality evidence; they can be used in a range of study designs, including randomised controlled trials and quasi-experimental designs, and may also be able to contribute quality of life or patient-reported outcome measures.

A View of the Development of Patient Reported Outcomes Measures, their Clinical Integration, Electronification, and Potential Impact on Rehabilitation Service Delivery

Recognition of the importance of a patient's perception of their status and experience has become central to medical care and its evaluation. This recognition has led to a growing reliance on the use of patient reported outcome measures (PROMs). Nevertheless, while awareness of PROMs and acceptance of their utility has increased markedly, few of us have a good insight into their development; their utility relative to clinician-rated and performance measures such as the FIM and 6-Minute Walk Test or how their "electronification" and incorporation into electronic health records (EHRs) may improve the individualization, value, and quality of medical care. In all, the goal of this commentary is to provide some insight into historical factors and technology developments that we believe have shaped modern clinical PROMs as they relate to medicine in general and to rehabilitation in particular. In addition, we speculate that while the growth of PROM use may have been triggered by an increased emphasis on the centrality of the patient in their care, future uptake will be shaped by their embedding in EHRs and use to improve clinical decision support though their integration with other sources of clinical and sociodemographic data.

"If You Built It, They Could Come": Opportunities to Expand Access to Palliative Care

There are growing calls to broaden palliative care access to more populations, diseases, and care settings and to earlier in the disease process; yet, supply of specialty palliative care is not likely to keep pace with demand. This article discusses possible solutions by which to bridge the gap between limited palliative care supply and demand. The proposed solutions include: (1) specialist workforce development; (2) alternate models of care; (3) triaging systems; and (4) telemedicine. Education/training, research, and policy mechanisms could operationalize these solutions. With the solutions in hand, the field may be able to increase the reach, sustainability, and equity of palliative care, thereby improving access and enabling a multitude of positive patient, family, and health care system outcomes.

Expected clinical utility of automatable prediction models for improving palliative and end-of-life care outcomes: Toward routine decision analysis before implementation

Objective

The study sought to evaluate the expected clinical utility of automatable prediction models for increasing goals-of-care discussions (GOCDs) among hospitalized patients at the end of life (EOL).

Materials and Methods

We built a decision model from the perspective of clinicians who aim to increase GOCDs at the EOL using an automated alert system. The alternative strategies were 4 prediction models—3 random forest models and the Modified Hospital One-year Mortality Risk model—to generate alerts for patients at a high risk of 1-year mortality. They were trained on admissions from 2011 to 2016 (70 788 patients) and tested with admissions from 2017-2018 (16 490 patients). GOCDs occurring in usual care were measured with code status orders. We calculated the expected risk difference (beneficial outcomes with alerts minus beneficial outcomes without alerts among those at the EOL), the number needed to benefit (number of alerts needed to increase benefit over usual care by 1 outcome), and the net benefit (benefit minus cost) of each strategy.

Results

Models had a C-statistic between 0.79 and 0.86. A code status order occurred during 2599 of 3773 (69%) hospitalizations at the EOL. At a risk threshold corresponding to an alert prevalence of 10%, the expected risk difference ranged from 5.4% to 10.7% and the number needed to benefit ranged from 5.4 to 10.9 alerts. Using revealed preferences, only 2 models improved net benefit over usual care. A random forest model with diagnostic predictors had the highest expected value, including in sensitivity analyses.

Discussion

Prediction models with acceptable predictive validity differed meaningfully in their ability to improve over usual decision making.

Conclusions

An evaluation of clinical utility, such as by using decision curve analysis, is recommended after validating a prediction model because metrics of model predictiveness, such as the C-statistic, are not informative of clinical value.

Palliative care providers' use of digital health and perspectives on technological innovation: a national study

Background

While the need for digital health capability and technological innovation in palliative care services is growing rapidly, relatively little is known about the current uptake and views of individual palliative care practitioners. This study aims to explore palliative care practitioners’ current use of and perspectives on digital health innovation in palliative care.

Methods

A descriptive cross-sectional survey with a web-based questionnaire was used. Participants were multidisciplinary palliative care practitioners in Australia.

Results

Surveys were returned by 170 medical, nursing, and allied health practitioners working in palliative care. Most respondents reported using a variety of digital health technology associated with clinical information systems, mobile devices, SMS text messaging, teleconferencing, and Wi-Fi. These technologies were used for the purpose of communicating with other health professionals, accessing web-based or mobile health palliative care resources, collecting or managing patient data, and providing information or education. However, few reported electronic access to patients’ advance care planning documentation or could update these data. Respondents were moderately confident in their ability to use digital health, held positive beliefs that palliative care could be enhanced through digital health, and were generally supportive of ongoing innovation through digitally-enable models of care. Palliative care providers would most like to see digital health innovations in the areas of client health records, telehealth, and personal health tracking.

Conclusion

This is the first national study of digital health in Australian palliative care providers. It contributes new knowledge in this important area of palliative care practice to guide policy and education, whilst informing future directions for research.

An integrative literature review of the implementation of advance care planning in hospital settings

AIMS AND OBJECTIVES

To identify and synthesise existing literature about action research in the implementation of advance care planning in a hospital setting.

BACKGROUND

Despite the proven added value of advance care planning, there is a lack of wide integration of this concept. There are several obstacles known for the implementation but it remains unclear how these can be overcome. Action research is described in the literature as a plausible way to overcome obstacles to the implementation of quality enhancing projects.

DESIGN

An integrative literature review was conducted using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) and reported in accordance with the PRISMA statement.

METHODS

We searched databases MEDLINE, EMBASE, CINAHL and Web of Science to identify executed action research for the implementation of advance care planning programs within a hospital setting, from January 2005 until November 2019. Studies were assessed for comprehensiveness and were supplemented by studies in reference lists of included articles. A quality appraisal and a thematic synthesis were performed on all included studies.

RESULTS

Five studies met inclusion criteria. Interventions focused on both nurses, physicians and hospitalised patients. Interventions targeted three different themes: identifying at-risk patients, adapting documentation to the local context and using communication improvement tools.

CONCLUSIONS

A Supportive and Palliative Care Indicators Tool is proposed to identify patients in need of advance care planning to work more efficiently. Furthermore, adapting documentation and instruments to a specific care context are shown to make advance care planning more effective. Communication challenges can be addressed by promoting communication skills and increase stakeholder self-confidence.

Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods

BACKGROUND

Semantic categorization analysis of clinical trials eligibility criteria based on natural language processing technology is crucial for the task of optimizing clinical trials design and building automated patient recruitment system. However, most of related researches focused on English eligibility criteria, and to the best of our knowledge, there are no researches studied the Chinese eligibility criteria. Thus in this study, we aimed to explore the semantic categories of Chinese eligibility criteria.

METHODS

We downloaded the clinical trials registration files from the website of Chinese Clinical Trial Registry (ChiCTR) and extracted both the Chinese eligibility criteria and corresponding English eligibility criteria. We represented the criteria sentences based on the Unified Medical Language System semantic types and conducted the hierarchical clustering algorithm for the induction of semantic categories. Furthermore, in order to explore the classification performance of Chinese eligibility criteria with our developed semantic categories, we implemented multiple classification algorithms, include four baseline machine learning algorithms (LR, NB, kNN, SVM), three deep learning algorithms (CNN, RNN, FastText) and two pre-trained language models (BERT, ERNIE).

RESULTS

We totally developed 44 types of semantic categories, summarized 8 topic groups, and investigated the average incidence and prevalence in 272 hepatocellular carcinoma related Chinese clinical trials. Compared with the previous proposed categories in English eligibility criteria, 13 novel categories are identified in Chinese eligibility criteria. The classification result shows that most of semantic categories performed quite well, the pre-trained language model ERNIE achieved best performance with macro-average F1 score of 0.7980 and micro-average F1 score of 0.8484.

CONCLUSION

As a pilot study of Chinese eligibility criteria analysis, we developed the 44 semantic categories by hierarchical clustering algorithms for the first times, and validated the classification capacity with multiple classification algorithms.

Digital health interventions in palliative care: a systematic meta-review

Digital health interventions (DHIs) have the potential to improve the accessibility and effectiveness of palliative care but heterogeneity amongst existing systematic reviews presents a challenge for evidence synthesis. This meta-review applied a structured search of ten databases from 2006 to 2020, revealing 21 relevant systematic reviews, encompassing 332 publications. Interventions delivered via videoconferencing (17%), electronic healthcare records (16%) and phone (13%) were most frequently described in studies within reviews. DHIs were typically used in palliative care for education (20%), symptom management (15%), decision-making (13%), information provision or management (13%) and communication (9%). Across all reviews, mostly positive impacts were reported on education, information sharing, decision-making, communication and costs. Impacts on quality of life and physical and psychological symptoms were inconclusive. Applying AMSTAR 2 criteria, most reviews were judged as low quality as they lacked a protocol or did not consider risk of bias, so findings need to be interpreted with caution.

Electronic Health Records in Specialized Pediatric Palliative Care: A Qualitative Needs Assessment among Professionals Experienced and Inexperienced in Electronic Documentation

BACKGROUND

Currently, to the best of our knowledge, no findings exist concerning the needs of professionals in specialized pediatric palliative care (PPC) regarding electronic health records (EHRs). Several studies have highlighted benefits concerning the use of EHRs in pediatrics. However, usability is strongly affected by the degree of adaptivity to the context of application. The aim of this study is to examine the needs of professionals concerning an EHR in the specialized PPC inpatient and outpatient settings.

METHODS

A qualitative research design was chosen to address the complex aspects of user demands. Focus group interviews and semi-structured one-on-one interviews were conducted with PPC professionals. N = 23 participants from inpatient and N = 11 participants from outpatient settings of specialized PPC representing various professions took part in the study.

RESULTS

The findings could be grouped into four categories: (1) attitude towards the current methods of documentation, (2) attitude towards electronic documentation in general, (3) general requirements for an EHR, and (4) content requirements for an EHR.

CONCLUSIONS

Professionals in specialized PPC expect and experience many benefits of using electronic documentation. Their requirements for an EHR for inpatient and outpatient settings of PPC are largely consistent with EHRs for pediatrics. However, individual specifications and adaptations are necessary for this particular setting.

Challenges in Using Insurance Claims Data to Identify Palliative Care Patients for a Research Trial

BACKGROUND

Little is known about strategies for enrolling patients in home-based palliative care programs despite the need to conduct effectiveness studies of this emerging industry.

PURPOSE

We used medical claims data from Accountable Care Organizations in California to identify patients for a randomized controlled trial of home-based palliative care. We report outcomes from this strategy and the implications for future research.

RESULTS

Claims data identified 1357 patients. Research assistants could not reach 986 patients (72.7%), usually because the phone calls went unanswered (38.5%) and many patients' phone numbers were missing or incorrect (16.3%). Of 371 patients reached, 163 opted out. Of 208 patients screened, 177 were ineligible for the trial. Just 10 patients were enrolled.

RECOMMENDATIONS

Our findings suggest that medical claims data may not be useful for engaging patients potentially eligible for palliative care research trials. We recommend that alternative identification and recruitment strategies be considered.

Proactive Identification of Palliative Care Needs Among Patients With COVID-19 in the ICU

In the setting of the coronavirus disease 2019 (COVID-19) pandemic, new strategies are needed to address the unique and significant palliative care (PC) needs of patients with COVID-19 and their families, particularly when health systems are stressed by patient surges. Many PC teams rely on referral-based consultation methods that can result in needs going unidentified and/or unmet. Here, we describe a novel system to proactively identify and meet the PC needs of all patients with COVID-19 being cared for in our hospital's intensive care units. Patients were screened through a combination of chart review and brief provider interview, and PC consultations were provided via telemedicine for those with unmet needs identified. In the first six weeks of operation, our pilot program of proactive screening and outreach resulted in PC consultation for 12 of the 29 (41%) adult patients admitted to the intensive care unit with COVID-19 at our institution. Consultations were most commonly for patient and family support as well as for goals of care and advance care planning, consistent with identified PC needs within this unique patient population.

Evaluating the Thresholds for Clinical Importance of the EORTC QLQ-C15-PAL in Patients Receiving Palliative Treatment

Background: The EORTC QLQ-C15-PAL is a shortened version of the widely used EORTC QLQ-C30. This questionnaire was developed to measure the symptoms and functional health of patients receiving palliative care. Objective: To enhance clinical interpretability of the EORTC QLQ-C15-PAL, our aim was to evaluate the sensitivity and specificity of thresholds for clinical importance developed previously for the QLQ-C30 when applied to the QLQ-C15-PAL scales. Design: Cross-sectional observational study. Setting/Subjects: Patients with cancer receiving any type of palliative treatment. Measurement: Patients completed the EORTC QLQ-C15-PAL and anchor items on limitations, worries, and need for help for each of the health domains covered by the questionnaire. The anchor items were summarized in a binary criterion for clinical importance to calculate the sensitivity and specificity of the thresholds for clinical importance. Results: In total, 225 patients participated in the study (mean age 64.5 years). Patients were recruited from Austria, Italy, the Netherlands, Poland, Spain, and the United Kingdom. The thresholds for clinical importance for the QLQ-C15-PAL scales showed a median sensitivity of 0.88 (range: 0.82 for sleep disturbances to 1.00 for dyspnea) and a median specificity of 0.74 (range: 0.54 for dyspnea to 0.89 for constipation). Conclusion: The thresholds for clinical importance showed high sensitivity and mostly high specificity in identifying clinically important symptoms and functional health impairments as assessed by the QLQ-C15-PAL. These thresholds will facilitate interpretation of EORTC QLQ-C15-PAL scores in daily clinical practice and clinical research.

Impact of mobile health and medical applications on clinical practice in gastroenterology

Mobile health apps (MHAs) and medical apps (MAs) are becoming increasingly popular as digital interventions in a wide range of health-related applications in almost all sectors of healthcare. The surge in demand for digital medical solutions has been accelerated by the need for new diagnostic and therapeutic methods in the current coronavirus disease 2019 pandemic. This also applies to clinical practice in gastroenterology, which has, in many respects, undergone a recent digital transformation with numerous consequences that will impact patients and health care professionals in the near future. MHAs and MAs are considered to have great potential, especially for chronic diseases, as they can support the self-management of patients in many ways. Despite the great potential associated with the application of MHAs and MAs in gastroenterology and health care in general, there are numerous challenges to be met in the future, including both the ethical and legal aspects of applying this technology. The aim of this article is to provide an overview of the current status of MHA and MA use in the field of gastroenterology, describe the future perspectives in this field and point out some of the challenges that need to be addressed.

Design and implementation of a clinical decision support tool for primary palliative Care for Emergency Medicine (PRIM-ER)

BACKGROUND

The emergency department is a critical juncture in the trajectory of care of patients with serious, life-limiting illness. Implementation of a clinical decision support (CDS) tool automates identification of older adults who may benefit from palliative care instead of relying upon providers to identify such patients, thus improving quality of care by assisting providers with adhering to guidelines. The Primary Palliative Care for Emergency Medicine (PRIM-ER) study aims to optimize the use of the electronic health record by creating a CDS tool to identify high risk patients most likely to benefit from primary palliative care and provide point-of-care clinical recommendations.

METHODS

A clinical decision support tool entitled Emergency Department Supportive Care Clinical Decision Support (Support-ED) was developed as part of an institutionally-sponsored value based medicine initiative at the Ronald O. Perelman Department of Emergency Medicine at NYU Langone Health. A multidisciplinary approach was used to develop Support-ED including: a scoping review of ED palliative care screening tools; launch of a workgroup to identify patient screening criteria and appropriate referral services; initial design and usability testing via the standard System Usability Scale questionnaire, education of the ED workforce on the Support-ED background, purpose and use, and; creation of a dashboard for monitoring and feedback.

RESULTS

The scoping review identified the Palliative Care and Rapid Emergency Screening (P-CaRES) survey as a validated instrument in which to adapt and apply for the creation of the CDS tool. The multidisciplinary workshops identified two primary objectives of the CDS: to identify patients with indicators of serious life limiting illness, and to assist with referrals to services such as palliative care or social work. Additionally, the iterative design process yielded three specific patient scenarios that trigger a clinical alert to fire, including: 1) when an advance care planning document was present, 2) when a patient had a previous disposition to hospice, and 3) when historical and/or current clinical data points identify a serious life-limiting illness without an advance care planning document present. Monitoring and feedback indicated a need for several modifications to improve CDS functionality.

CONCLUSIONS

CDS can be an effective tool in the implementation of primary palliative care quality improvement best practices. Health systems should thoughtfully consider tailoring their CDSs in order to adapt to their unique workflows and environments. The findings of this research can assist health systems in effectively integrating a primary palliative care CDS system seamlessly into their processes of care.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03424109. Registered 6 February 2018, Grant Number: AT009844-01.