Using electronic health record data to link families: an illustrative example using intergenerational patterns of obesity

OBJECTIVE

Electronic health record (EHR) data are a valuable resource for population health research but lack critical information such as relationships between individuals. Emergency contacts in EHRs can be used to link family members, creating a population that is more representative of a community than traditional family cohorts.

MATERIALS AND METHODS

We revised a published algorithm: relationship inference from the electronic health record (RIFTEHR). Our version, Pythonic RIFTEHR (P-RIFTEHR), identifies a patient's emergency contacts, matches them to existing patients (when available) using network graphs, checks for conflicts, and infers new relationships. P-RIFTEHR was run on December 15, 2021 in the Northwestern Medicine Electronic Data Warehouse (NMEDW) on approximately 2.95 million individuals and was validated using the existing link between children born at NM hospitals and their mothers. As proof-of-concept, we modeled the association between parent and child obesity using logistic regression.

RESULTS

The P-RIFTEHR algorithm matched 1 157 454 individuals in 448 278 families. The median family size was 2, the largest was 32 persons, and 247 families spanned 4 generations or more. Validation of the mother-child pairs resulted in 95.1% sensitivity. Children were 2 times more likely to be obese if a parent is obese (OR: 2.30; 95% CI, 2.23-2.37).

CONCLUSION

P-RIFTEHR can identify familiar relationships in a large, diverse population in an integrated health system. Estimates of parent-child inheritability of obesity using family structures identified by the algorithm were consistent with previously published estimates from traditional cohort studies.

Remote symptom monitoring after hospital discharge

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Background: Strategies to improve transitions from the hospital to home for patients with cancer are considered an important component of quality, patient-centered care in oncology. CMS evaluates cancer hospital performance based on the 30-day unplanned hospital readmission rate, and this measure has been endorsed by the National Quality Forum. Nationally, the 30-day readmission rate for oncology patients ranges from 19%-27%. These readmissions come at high psychosocial, physical, and financial costs for patients and caregivers. A remote monitoring intervention that includes frequent contacts with the patient is likely to be effective in improving this transition. Methods: We evaluated the feasibility, acceptability, and perceived value of a mobile health intervention to monitor and manage symptoms of adult medical and surgical oncology patients discharged from an NCI-designated cancer center to home. Patients were monitored for 10 days, which is the median time to readmission for an oncology patient. The technology supporting the program included: 1) a patient portal enabling daily electronic patient-reported outcomes assessments; 2) a pulse oximeter to provide data on blood oxygen level and heart rate; 3) alerts for concerning symptoms; 4) an application to allow staff to review and trend symptom data; 5) a secure platform to support communications and televisits between staff and patients; 6) an advanced feedback report to provide just-in-time patient symptom education. Feasibility and acceptability were evaluated through engagement (goal: > 50% response rate) and symptom alerts and perceived value was measured through a patient engagement survey that included a net promoter score (how likely the patient is to recommend the program to similar patients; goal > 0.7). Results: Between September 27, 2020 to December 31, 2021, the program enrolled 1,091 medical oncology (median age: 63 years, 55% female) and 4,222 surgical oncology patients (median age: 63 years,55% female). Of those enrolled, 65% of medical and 74% of surgical oncology patients participated in home remote monitoring by self-reporting symptom data. This resulted in 2,869 completed symptom assessment from medical and 16,009 completed assessments from surgical patients. Sixty-three percent of medical oncology assessments resulted in a yellow (moderate) or red (severe) symptom alert compared with 26% for surgical oncology patients. Pain was the predominant symptom generating red alerts for medical oncology patients (17%). Fifty-two percent of patients completed the engagement survey, and the net promoter score was 0.82. Conclusions: A remote monitoring program after discharge was feasible, acceptable, and perceived to be of value by oncology patients discharged from a cancer center. Surgical and medical patients have similar response rates but differ in symptom burden. Future work will evaluate the value of a remote symptom monitoring platform in decreasing readmissions.

Oncologist Perspectives on Telemedicine for Patients With Cancer: A National Comprehensive Cancer Network Survey

PURPOSE

The use of telemedicine expanded dramatically in March 2020 following the COVID-19 pandemic. We sought to assess oncologist perspectives on telemedicine's present and future roles (both phone and video) for patients with cancer.

METHODS

The National Comprehensive Cancer Network (NCCN) Electronic Health Record (EHR) Oncology Advisory Group formed a Workgroup to assess the state of oncology telemedicine and created a 20-question survey. NCCN EHR Oncology Advisory Group members e-mailed the survey to providers (surgical, hematology, gynecologic, medical, and radiation oncology physicians and clinicians) at their home institution.

RESULTS

Providers (N = 1,038) from 26 institutions responded in Summer 2020. Telemedicine (phone and video) was compared with in-person visits across clinical scenarios (n = 766). For reviewing benign follow-up data, 88% reported video and 80% reported telephone were the same as or better than office visits. For establishing a personal connection with patients, 24% and 7% indicated video and telephone, respectively, were the same as or better than office visits. Ninety-three percent reported adverse outcomes attributable to telemedicine visits never or rarely occurred, whereas 6% indicated they occasionally occurred (n = 801). Respondents (n = 796) estimated 46% of postpandemic visits could be virtual, but challenges included (1) lack of patient access to technology, (2) inadequate clinical workflows to support telemedicine, and (3) insurance coverage uncertainty postpandemic.

CONCLUSION

Telemedicine appears effective across a variety of clinical scenarios. Based on provider assessment, a substantial fraction of visits for patients with cancer could be effectively and safely conducted using telemedicine. These findings should influence regulatory and infrastructural decisions regarding telemedicine postpandemic for patients with cancer.

Implementing virtual mind-body programming to support cancer patients during COVID-19

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Background: Despite growing evidence of mind-body therapies for physical and psychological health among patients with cancer, their access remains limited. The COVID-19 pandemic has further disrupted the delivery of necessary cancer and supportive care; thus, the need to support patients with cancer is unprecedented. To expand the reach and access of mind-body therapies, we developed, implemented, and evaluated a novel virtual mind-body program for patients with cancer. Methods: We rapidly developed a 7-day a week virtual mind-body program, Integrative Medicine at Home (IM@Home), for patients with cancer (ages ≥18 years) and deployed it on April 1st, 2020. IM@Home included mind-body group therapy classes in fitness, meditation, yoga, dance, tai chi, and music delivered using Zoom video conferencing. Classes ranged from 30-45 minutes and were led by an integrative medicine clinician. Patients had the option to register for a 1-month, 3-month, or 6-month membership to gain unlimited access to all virtual mind-body classes. Multi-method evaluation was conducted using the RE-AIM conceptual framework to guide surveys and qualitative interviews. Surveys were analyzed using descriptive statistics and interviews were analyzed using grounded theory. Results: Between April 2020 and January 2021, IM@Home registered over 32,000 class participants, with a weekly average attendance of 700-800 participants. In a 4-month post-deployment survey (n = 131), nearly all participants were satisfied with IM@Home (93.9%) and would recommend the program to friends and family (95.4%). A majority of participants also found IM@Home to be simple to use (87.0%) and said the program had a variety of classes that interested them (93.1%). Three-quarters of participants (74.8%) were taking 3 to 7 classes a week (range: 1 to 15 classes), among which the most popular classes were fitness (88.7%), chair yoga (37.1%), and tai chi (33.1%). Most participants preferred a 3-month membership (51.6%), followed by a 6-month membership (19.5%). In qualitative interviews (n = 30), participants reported IM@Home helped them to: 1) maintain structured routines and stay motivated to exercise; 2) cope with COVID-19-related and cancer-related stressors; and 3) connect with their fellow cancer patient community and foster social relationships during a time of isolation. Conclusions: Virtual mind-body programming, through IM@Home, reached many patients with cancer to address their physical and psychological challenges during COVID-19. As patients with cancer experience high physical and psychological symptom burden following diagnosis, future clinical trials are needed to evaluate the specific effects of IM@Home when integrated into active treatment and survivorship care.

Use of remote patient monitoring in the care of COVID-positive patients in oncology

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Background: Cancer patients face an increased risk of developing acute complications from COVID-19. Remote monitoring can help with the critical need for early detection of symptoms among those diagnosed with COVID-19, enabling timely symptom management that can mitigate clinical deterioration. In response to this need, Memorial Sloan Kettering Cancer Center fast-tracked a program to monitor patients with COVID-19 from home, using an electronic symptom-tracking questionnaire and digital pulse oximeter to track patients’ status and alert care teams to intervene if symptoms worsened. A multi-disciplinary group composed of Oncology providers, advanced practice providers, nursing, nursing informatics and biomedical informatics formed to manage the program. Methods: Memorial Sloan Kettering launched a remote monitoring program for patients diagnosed with COVID-19 on March 25, 2020. All patients testing positive for COVID-19 were enrolled in the program and asked to complete a daily symptom tracking questionnaire accessed through their patient portal or administered verbally over the phone. A subset of high risk patients were also provided with a digital pulse oximeter linked to their patient portal and capable of transmitting readings directly to the care team. Clinicians received alerts for patients reporting symptoms or an oxygen saturation below 92%. Alerts resulted in an immediate response from the care team to determine if the patient needed additional care. We retrospectively evaluated the program usage, outcomes and learnings from March 25, 2020 to December 22, 2020. Results: In total, 1,721 patients were enrolled in the program from March 25, 2020 to December 22, 2020. Among these, 210 were deemed high risk patients who received a pulse oximeter in addition the daily symptom questionnaire. Over this period, 27% of patients triggered an alert from an electronic symptom questionnaire, and 63% of patients with a pulse oximeter triggered an alert from their device. Among patients who triggered an alert of any kind, 3% were triaged to a higher level of care. Patients reported that the program was highly valued and alleviated anxiety about their care. Iterative improvements were made to the program over time in response to the evolving knowledge about care for patients with COVID-19. Conclusions: Memorial Sloan Kettering was able to quickly implement a program to detect and triage symptoms among patients with COVID-19 and cancer. Refinements were made over time to many aspects of the program in response to learnings about care related to COVID-19, including to clinical eligibility, alert criteria, monitoring duration and workflows. The program also demonstrated value for patients who felt more comfortable with their care while being monitored remotely. This program established a successful model for remote monitoring of patients with COVID-19 with the potential to be scaled to other institutions or clinical areas.

Validation of Case Identification for Alopecia Areata Using International Classification of Diseases Coding

Background:

Search algorithms used to identify patients with alopecia areata (AA) need to be validated prior to use in large databases.

Objectives:

The aim of the study is to assess whether patients with an International Statistical Classification of Diseases and Related Health Problems (ICD) 9 or 10 code for AA have a true diagnosis of AA.

Materials and Methods:

A multicenter retrospective review was performed at Columbia University Irving Medical Center, Brigham and Women's Hospital, and Massachusetts General Hospital to determine whether patients with an ICD 9 codes (704.01 - AA) or ICD 10 codes (L63.0 -Alopecia Totalis, L63.1 - Alopecia Universalis, L63.2 - Ophiasis, L63.8 - other AA, and L63.9 - AA, unspecified) for AA met diagnostic criteria for the disease.

Results:

Of 880 charts, 97.5% had physical examination findings consistent with AA, and 90% had an unequivocal diagnosis. AA was diagnosed by a dermatologist in 87% of the charts. The positive predictive value (PPV) of the ICD 9 code 704.01 was 97% (248/255). The PPV for the ICD 10 codes were 64% (75/118) for L63.0, 86% (130/151) for L63.1, 50% (1/2) for L63.2, 91% (81/89) for L63.8, and 93% (247/265) for L63.9. Overall, 89% (782/880) of patients with an ICD code for AA were deemed to have a true diagnosis of AA.

Conclusions:

Patients whose medical records contain an AA-associated ICD code have a high probability of having the condition.

Case study of the integration of electronic patient-reported outcomes as standard of care in a head and neck oncology practice: Obstacles and opportunities

BACKGROUND

Patient-reported outcomes (PROs) allow for the direct measurement of functional and psychosocial effects related to treatment. However, technological barriers, survey fatigue, and clinician adoption have hindered the meaningful integration of PROs into clinical care. The objective of the authors was to develop an electronic PROs (ePROs) program that meets a range of clinical needs across a head and neck multidisciplinary disease management team.

METHODS

The authors developed the ePROs module using literature review and stakeholder input in collaboration with health informatics. They designed an ePROs platform that was integrated as the standard of care for personalized survey delivery by diagnosis across the disease management team. Tableau software was used to create dashboards for data visualization and monitoring at the clinical enterprise, disease subsite, and patient levels. All patients who were treated for head and neck cancer were eligible for ePROs assessment as part of the standard of care. A descriptive analysis of ePROs program implementation is presented herein.

RESULTS

The Head and Neck Service at Memorial Sloan Kettering Cancer Center has integrated ePROs into clinical care. Surveys are delivered via the patient portal at the time of diagnosis and longitudinally through care. From August 1, 2018, to February 1, 2020, a total of 4154 patients completed ePROs surveys. The average patient participation rate was 69%, with a median time for completion of 5 minutes.

CONCLUSIONS

Integration of the head and neck ePROs program as part of clinical care is feasible and could be used to assess value and counsel patients in the future. Continued qualitative assessments of stakeholders and workflow will refine content and enhance the health informatics platform.

LAY SUMMARY

Patients with head and neck cancer experience significant changes in their quality of life after treatment. Measuring and integrating patient-reported outcomes as a part of clinical care have been challenging given the multimodal treatment options, vast subsites, and unique domains affected. The authors present a case study of the successful integration of electronic patient-reported outcomes into a high-volume head and neck cancer practice.

Rapid deployment of virtual mind-body interventions during the COVID-19 outbreak: feasibility, acceptability, and implications for future care

INTRODUCTION

COVID-19 increased stress levels while reducing access to mind-body services in patients with cancer. We describe the rapid deployment of remotely delivered mind-body services to people with cancer during COVID-19, rates of participation, and acceptability from patients' perspectives.

METHODS

Eligible participants were patients with cancer age ≥ 18 years enrolled in a single academic cancer center's online patient portal. Interventions included mind-body group therapy sessions in fitness, meditation, yoga, dance, tai chi, and music delivered using Zoom video conferencing. Sessions were 30-45 min and led by an integrative medicine clinician. Following each session, participants were asked to complete a three-item questionnaire assessing (1) satisfaction with the class session, (2) reduction in stress/anxiety, and (3) likelihood of recommending the class to others. Patients could also provide comments in real-time using the Zoom chat function.

RESULTS

Among 5948 unique visits, the most frequently attended classes were fitness (n = 2513, 42.2%) followed by meditation (n = 1176, 19.8%) and yoga (n = 909, 15.3%). Of these visits, 3902 (65.6%) had an associated completed questionnaire. Across class types, a large majority of participants reported being extremely satisfied (n = 3733, 95.7%), experiencing extreme reductions in anxiety/stress (n = 3268, 83.8%), and being extremely likely to recommend the class to others (n = 3605, 92.4%). Fitness had the highest endorsement among class types (all p values < 0.001). Themes from the chat responses included gratitude, expressions of helpfulness, and feelings of connection.

CONCLUSION

High utilization of and satisfaction with these virtual mind-body services demonstrate the significant potential of remote delivery to facilitate patient access to services.

Challenges with quality of race and ethnicity data in observational databases

OBJECTIVE

We sought to assess the quality of race and ethnicity information in observational health databases, including electronic health records (EHRs), and to propose patient self-recording as an improvement strategy.

MATERIALS AND METHODS

We assessed completeness of race and ethnicity information in large observational health databases in the United States (Healthcare Cost and Utilization Project and Optum Labs), and at a single healthcare system in New York City serving a racially and ethnically diverse population. We compared race and ethnicity data collected via administrative processes with data recorded directly by respondents via paper surveys (National Health and Nutrition Examination Survey and Hospital Consumer Assessment of Healthcare Providers and Systems). Respondent-recorded data were considered the gold standard for the collection of race and ethnicity information.

RESULTS

Among the 160 million patients from the Healthcare Cost and Utilization Project and Optum Labs datasets, race or ethnicity was unknown for 25%. Among the 2.4 million patients in the single New York City healthcare system's EHR, race or ethnicity was unknown for 57%. However, when patients directly recorded their race and ethnicity, 86% provided clinically meaningful information, and 66% of patients reported information that was discrepant with the EHR.

DISCUSSION

Race and ethnicity data are critical to support precision medicine initiatives and to determine healthcare disparities; however, the quality of this information in observational databases is concerning. Patient self-recording through the use of patient-facing tools can substantially increase the quality of the information while engaging patients in their health.

CONCLUSIONS

Patient self-recording may improve the completeness of race and ethnicity information.

Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal

Objective

To determine the effects of an inpatient portal intervention on patient activation, patient satisfaction, patient engagement with health information, and 30-day hospital readmissions.

Methods and Materials

From March 2014 to May 2017, we enrolled 426 English- or Spanish-speaking patients from 2 cardiac medical-surgical units at an urban academic medical center. Patients were randomized to 1 of 3 groups: 1) usual care, 2) tablet with general Internet access (tablet-only), and 3) tablet with an inpatient portal. The primary study outcome was patient activation (Patient Activation Measure-13). Secondary outcomes included all-cause readmission within 30 days, patient satisfaction, and patient engagement with health information.

Results

There was no evidence of a difference in patient activation among patients assigned to the inpatient portal intervention compared to usual care or the tablet-only group. Patients in the inpatient portal group had lower 30-day hospital readmissions (5.5% vs. 12.9% tablet-only and 13.5% usual care; P = 0.044). There was evidence of a difference in patient engagement with health information between the inpatient portal and tablet-only group, including looking up health information online (89.6% vs. 51.8%; P < 0.001). Healthcare providers reported that patients found the portal useful and that the portal did not negatively impact healthcare delivery.

Conclusions

Access to an inpatient portal did not significantly improve patient activation, but it was associated with looking up health information online and with a lower 30-day hospital readmission rate. These results illustrate benefit of providing hospitalized patients with real-time access to their electronic health record data while in the hospital.

Trial Registration

ClinicalTrials.gov Identifier: NCT01970852.

Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives

Cardiovascular disease is the leading cause of death in the United States, and abnormal blood glucose is an important risk factor. Delayed diagnosis of diabetes mellitus can increase patients' morbidity. In an urban academic medical center with a large clinical data warehouse, we used a novel algorithm to identify 56,794 family members of diabetic patients that were eligible for disease screening. We found that 30.6% of patients did not receive diabetes screening as recommended by current guidelines. Further, our analysis showed that having more than one family member affected and being a female were important contributors to being screened for diabetes mellitus. This study demonstrates that informatics methods applied to electronic health record data can be used to identify patients at risk for disease development, and therefore support clinical care.