A Shared Opportunity for Improving Electronic Medical Record Data

Assessing Primary Care Blood Pressure Documentation for Hypertension Management During the COVID-19 Pandemic by Patient and Provider Groups

Background

Primary care electronic medical record (EMR) data can be used to identify, manage, and screen hypertension cases. However, this approach relies on completeness and accessibility of documented blood pressure (BP) values. With the large switch to virtual care due to the COVID-19 pandemic, we assessed BP documentation in primary care EMRs during the pandemic, across patient and physician groups.

Methods

Hypertension-related visits were identified during the pre-pandemic (January 2017 to February 2020) and pandemic (March 2020 to December 2021) periods from a primary care EMR database in Ontario, Canada. Clustered logistic regression models were used to analyze the relationship of physician and patient characteristics with an outcome variable of documented BP. A chart review of 3200 hypertension visits without a BP recorded in structured data fields was conducted to determine if BP was recorded in progress notes.

Results

Pre-pandemic, 75.7% of hypertension-related visits (113,966 of 150,511) had a BP recorded in structured documentation, but this significantly decreased to 36.4% (26,660 of 73,239) during the pandemic (odds ratio [OR] = 0.18, 95% confidence interval [CI]: 0.18-0.19). For virtual visits, 14.3% (6357 of 44,572) had a documented BP, vs 74.0% (20,056 of 27,089) for in-person visits. Chart review found that 55.9% of hypertension visits had no associated BP in structured documentation, but did have a BP recorded in the progress note. Male providers, compared to female providers, were less likely to record BPs pre-pandemic (OR = 0.45, 95% CI: 0.32-0.63) and during the pandemic, for both virtual visits (OR = 0.48, 95% CI: 0.32-0.71) and in-person visits (OR = 0.46, 95% CI: 0.33-0.64).

Conclusions

BP documented in primary care EMRs declined during the pandemic, most likely due to high rates of virtual visits impacting hypertension detection and management.

Associations Between Race/Ethnicity, Language, and Enrollment on Cancer Research Studies

PURPOSE

The objective of this study was to determine whether differences in patients' race/ethnicity, preferred language, and other factors were associated with patient enrollment in oncology research studies.

PATIENTS AND METHODS

We conducted a retrospective cross-sectional analysis of all adults (>18 and ≤90) seen at a large, metropolitan cancer center from 2005 to 2015, examining if enrollment to a research study, varied by race/ethnicity, preferred language, comorbidities, gender, and age.

RESULTS

A total of 233 604 patients were available for initial analysis. Of these, 93 278 (39.9%) were enrolled in a research protocol (therapeutic and non-therapeutic studies). Patients who self-reported their race/ethnicity as Native, Other, Unknown, or Refuse to Answer were less likely to be enrolled on a study. Patients with one or more comorbidities, and those whose preferred language was English, were more likely to be enrolled on a research study. A logistic regression model showed that, although Non-Hispanic Black patients were more likely to have one or more comorbidities and had a higher proportion of their subset selecting English as their preferred language, they were less likely to be enrolled on a study, than our largest population, Non-Hispanic/White patients.

CONCLUSIONS

We identified differences in research study enrollment based on preferred language, and within race/ethnicity categories including Native-Populations, Other, Unknown or Refuse to Answer compared to Non-Hispanic/White patients. We also highlighted the lower odds of enrollment among Non-Hispanic/Black patients, in the setting of factors such as comorbidities and English language preference, which were otherwise found to be positive predictors of enrollment. Further investigation is needed to design targeted interventions to reduce disparities in oncology research study enrollment, with particular focus on language diversity.

Predictive value of incidental right ventricular abnormalities identified on SPECT for mortality and pulmonary hypertension

BACKGROUND

The clinical significance of incidentally found RV abnormalities on low-risk SPECT studies is not well-defined. The objective of this study was to determine the predictive value of incidental right ventricular (RV) abnormalities identified on single photon emission computed tomography (SPECT) scans for mortality and pulmonary hypertension (PH).

METHODS

We retrospectively analyzed all low-risk SPECT studies in patients without known coronary artery or pulmonary vascular disease, performed at our institution, from 2007-2020. Adjusted Cox proportional hazards models were used to evaluate the association between incidental RV abnormalities on low-risk SPECT studies and outcomes.

RESULTS

Of the 4761 patients included in the analysis, mortality events were present in 494, and echocardiographic PH was present in 619. Incidental RV abnormalities on low-risk SPECT studies were significantly and independently associated with all-cause mortality (HR = 1.41, CI [1.07-1.86], P = 0.0152) and echocardiographic PH (HR = 2.06, CI [1.64-2.60], P < 0.0001).

CONCLUSIONS

These data suggest incidental RV abnormalities found on low-risk SPECT imaging studies are significantly and independently associated with increased mortality and risk of developing echocardiographic PH, and could identify high-risk patients for closer monitoring and additional diagnostic testing.

A Century of Technology in Anesthesia & Analgesia

Technological innovation has been closely intertwined with the growth of modern anesthesiology as a medical and scientific discipline. Anesthesia & Analgesia, the longest-running physician anesthesiology journal in the world, has documented key technological developments in the specialty over the past 100 years. What began as a focus on the fundamental tools needed for effective anesthetic delivery has evolved over the century into an increasing emphasis on automation, portability, and machine intelligence to improve the quality, safety, and efficiency of patient care.

Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study

BACKGROUND

With the proliferation of electronic medical record (EMR) systems, there is an increasing interest in utilizing EMR data for medical research; yet, there is no quantitative research on EMR data utilization for medical research purposes in China.

OBJECTIVE

This study aimed to understand how and to what extent EMR data are utilized for medical research purposes in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 hospital in Beijing, China. Obstacles and issues in the utilization of EMR data were also explored to provide a foundation for the improved utilization of such data.

METHODS

For this descriptive cross-sectional study, cluster sampling from Xuanwu Hospital, one of two Stage 7 hospitals in Beijing, was conducted from 2016 to 2019. The utilization of EMR data was described as the number of requests, the proportion of requesters, and the frequency of requests per capita. Comparisons by year, professional title, and age were conducted by double-sided chi-square tests.

RESULTS

From 2016 to 2019, EMR data utilization was poor, as the proportion of requesters was 5.8% and the frequency was 0.1 times per person per year. The frequency per capita gradually slowed and older senior-level staff more frequently used EMR data compared with younger staff.

CONCLUSIONS

The value of using EMR data for research purposes is not well studied in China. More research is needed to quantify to what extent EMR data are utilized across all hospitals in Beijing and how these systems can enhance future studies. The results of this study also suggest that young doctors may be less exposed or have less reason to access such research methods.

Challenges Frequently Encountered in the Secondary Use of Electronic Medical Record Data for Research

The wide adoption of electronic medical records and subsequent availability of large amounts of clinical data provide a rich resource for researchers. However, the secondary use of clinical data for research purposes is not without limitations. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we conducted a systematic review to identify current issues related to secondary use of electronic medical record data via MEDLINE and CINAHL databases. All articles published until June 2018 were included. Sixty articles remained after title and abstract review, and four domains of potential limitations were identified: (1) data quality issues, present in 91.7% of the articles reviewed; (2) data preprocessing challenges (53.3%); (3) privacy concerns (18.3%); and (4) potential for limited generalizability (21.7%). Researchers must be aware of the limitations inherent to the use of electronic medical record data for research and consider the potential effects of these limitations throughout the entire study process, from initial conceptualization to the identification of adequate sources that can provide data appropriate for answering the research questions, analysis, and reporting study results. Consideration should also be given to using existing data quality assessment frameworks to facilitate use of standardized data quality definitions and further efforts of standard data quality reporting in publications.

Implementation of a Postpartum Hemorrhage Safety Bundle at an Urban Safety-Net Hospital

Background  Postpartum hemorrhage (PPH) is a leading cause of preventable maternal morbidity and mortality. Standardized response to obstetric hemorrhage is associated with significant improvement in maternal outcomes, yet implementation can be challenging. Objective  The primary objective is to describe the methodology for program implementation of the Alliance for Innovation on Maternal Health Safety Bundle on PPH at an urban safety-net hospital. Methods  Over an 18-month period, interventions geared toward (1) risk assessment and stratification, (2) hemorrhage identification and management, (3) team communication and simulation, and (4) debriefs and case review were implemented. Hemorrhage risk assessment stratification rates were tracked overtime as an early measure of bundle compliance. Results  Hemorrhage risk assessment stratification rates improved to >90% during bundle implementation. Conclusion  Keys to implementation included multidisciplinary stakeholder commitment, stepwise and iterative approach, and parallel systems for monitoring and evaluation Implementation of a PPH safety bundle is feasible in a resource-constrained setting.