The effect of an electronic health record-based tool on abnormal pediatric blood pressure recognition

Screening and Management of Pediatric High Blood Pressure-Challenges to Implementing the Clinical Practice Guideline

PURPOSE OF REVIEW

Elevated blood pressure (BP) and hypertension in childhood convey risk for hypertension and cardiovascular events in adulthood. Early recognition of abnormal BPs is key to preventing or lessening this risk. However, the process for making the diagnosis of hypertension is complex, and overall adherence to the 2017 American Academy of Pediatrics Clinical Practice Guidelines (CPG) is poor. We will review obstacles to adherence to the CPG and approaches designed to improve the diagnosis and management of hypertension in children.

RECENT FINDINGS

Baseline data from the multi-center quality improvement intervention, "Boosting Primary Care Awareness and Treatment of Hypertension" (BP-CATCH), demonstrate that childhood hypertension remains underdiagnosed. Other studies confirm a lack of compliance with the process outlined in the CPG. The provision of electronic prompts, coaching, and education results in modest improvements. The combination of embedded medical record tools and education seems to offer the most hope for improvement.

Clinical Decision Support Tool for Elevated Pediatric Blood Pressures

Under-diagnosis of pediatric hypertension remains pervasive due to difficulty recognizing elevated systolic blood pressures (SBPs). We performed a retrospective review comparing recognition of and response to elevated SBPs ≥95th percentile before and after development of a clinical decision support tool (CDST) in an academic pediatric system. Of 44,351 encounters, 477 had elevated SBPs with documented recognition of an elevated SBP in 17.9% of encounters pre-CDST that increased to 33.7% post-CDST (P = .001). Post-CDST, 75.5% of elevated SBPs had repeat measurement, with 90.8% of initially elevated SBPs normalizing to <95th percentile. If repeat measurement was obtained and SBP remained elevated, documented recognition increased from 14.0 to 83.3% (P < .0001). These data support using the CDST is associated with increased identification of elevated SBPs in children with greatest improvements associated with repeat SBP measurement. This suggests targeted training and support systems at medical intake would be high yield for increasing recognition of elevated SBP.

Pediatrician Adherence to Guidelines for Diagnosis and Management of High Blood Pressure

OBJECTIVES

To assess pediatrician adherence to the 2017 American Academy of Pediatrics' clinical practice guideline for high blood pressure (BP).

STUDY DESIGN

Pediatric primary care practices (n = 59) participating in a quality improvement collaborative submitted data for patients with high BP measured between November 2018 and January 2019. Baseline data included patient demographics, BP, body mass index (BMI), and actions taken. Logistic regression was used to test associations between patient BP level and BMI with provider adherence to guidelines (BP measurement, counseling, follow-up, evaluation).

RESULTS

A total of 2677 patient charts were entered for analysis. Only 2% of patients had all BP measurement steps completed correctly, with fewer undergoing 3-limb and ambulatory BP measurement. Overall, 46% of patients received appropriate weight, nutrition, and lifestyle counseling. Follow-up for high BP was recommended or scheduled in 10% of encounters, and scheduled at the appropriate interval in 5%. For patients presenting with their third high BP measurement, 10% had an appropriate diagnosis documented, 2% had appropriate screening laboratory tests conducted, and none had a renal ultrasound performed. BMI was independently associated with increased odds of counseling, but higher BP was associated with lower odds of counseling. Higher BP was independently associated with an increased likelihood of documentation of hypertension.

CONCLUSIONS

In this multisite study, adherence to the 2017 American Academy of Pediatrics' guideline for high BP was low. Given the long-term health implications of high BP in childhood, it is important to improve primary care provider recognition and management.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT03783650.

Electronic tools in clinical laboratory diagnostics: key examples, limitations, and value in laboratory medicine

Electronic tools in clinical laboratory diagnostics can assist laboratory professionals, clinicians, and patients in medical diagnostic management and laboratory test interpretation. With increasing implementation of electronic health records (EHRs) and laboratory information systems worldwide, there is increasing demand for well-designed and evidence-based electronic resources. Both complex data-driven and simple interpretative electronic healthcare tools are currently available to improve the integration of clinical and laboratory information towards a more patient-centered approach to medicine. Several studies have reported positive clinical impact of electronic healthcare tool implementation in clinical laboratory diagnostics, including in the management of neonatal bilirubinemia, cardiac disease, and nutritional status. As patients have increasing access to their medical laboratory data, it is essential that accessible electronic healthcare tools are evidence-based and user-friendly for individuals of varying digital and medical literacy. Indeed, studies suggest electronic healthcare tool development processes significantly lack the involvement of relevant healthcare professionals and often present misinformation, including erroneous calculation algorithms or inappropriate interpretative recommendations. The current review provides an overview of the utility of available electronic healthcare tools in clinical laboratory diagnostics and critically reviews potential limitations and benefits of their clinical implementation. The Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) online database is also detailed as an example of a pediatric diagnostic tool with widespread global impact.

Establishing a multidisciplinary initiative for interoperable electronic health record innovations at an academic medical center

Objective

To establish an enterprise initiative for improving health and health care through interoperable electronic health record (EHR) innovations.

Materials and Methods

We developed a unifying mission and vision, established multidisciplinary governance, and formulated a strategic plan. Key elements of our strategy include establishing a world-class team; creating shared infrastructure to support individual innovations; developing and implementing innovations with high anticipated impact and a clear path to adoption; incorporating best practices such as the use of Fast Healthcare Interoperability Resources (FHIR) and related interoperability standards; and maximizing synergies across research and operations and with partner organizations.

Results

University of Utah Health launched the ReImagine EHR initiative in 2016. Supportive infrastructure developed by the initiative include various FHIR-related tooling and a systematic evaluation framework. More than 10 EHR-integrated digital innovations have been implemented to support preventive care, shared decision-making, chronic disease management, and acute clinical care. Initial evaluations of these innovations have demonstrated positive impact on user satisfaction, provider efficiency, and compliance with evidence-based guidelines. Return on investment has included improvements in care; over $35 million in external grant funding; commercial opportunities; and increased ability to adapt to a changing healthcare landscape.

Discussion

Key lessons learned include the value of investing in digital innovation initiatives leveraging FHIR; the importance of supportive infrastructure for accelerating innovation; and the critical role of user-centered design, implementation science, and evaluation.

Conclusion

EHR-integrated digital innovation initiatives can be key assets for enhancing the EHR user experience, improving patient care, and reducing provider burnout.

Influence of Blood Pressure Percentile Reporting on the Recognition of Elevated Blood Pressures

OBJECTIVES

To explore the impact of displaying blood pressure (BP) percentiles with BP readings in the electronic health record (EHR) on the recognition of children with elevated blood pressures (EBPs).

METHODS

This was a retrospective cohort study of children (ages 1-17), including inpatients and outpatients, with at least 1 EHR noninvasive BP recording. In phase 1, BP percentiles were calculated, stored, and not displayed to clinicians. In phase 2, percentiles were displayed adjacent to the EHR BP. Encounters with 1 BP ≥95th percentile were classified as elevated. EBP recognition required the presence of at least 1 EBP-related International Classification of Diseases, Ninth Revision or International Classification of Diseases, 10th Revision code. We compared recognition frequencies across phases with logistic regression.

RESULTS

In total, 45 504 patients in 115 060 encounters were included. Inpatient recognition was 4.1% (238 of 5572) in phase 1 and 5.5% (338 of 5839) in phase 2. The adjusted odds ratio (OR) associated with the intervention was 1.22 (95% confidence interval [CI]: 0.90-1.66). Outpatient recognition rates were 8.0% (1096 of 13 725 EBP encounters) in phase 1 and 9.7% (1442 of 14 811 encounters) in phase 2. The adjusted OR was 1.296 (95% CI: 0.999-1.681). Overall, recognition rates were higher in boys (outpatient OR: 1.51; 95% CI: 1.15-1.98) and older children (outpatient/inpatient OR: 1.08/1.08; 95% CI: 1.05-1.11/1.05-1.11) and lower for those on a surgical service (outpatient/inpatient: OR: 0.41/0.38; 95% CI: 0.30-0.58/0.27-0.52).

CONCLUSIONS

Addition of BP percentiles to the EHR did not significantly change EBP recognition as measured by the addition of an EBP diagnosis code. Girls, younger children, and patients followed on a surgical service were less likely to have their EBP recognized by providers.

Determining pediatric hypertension criteria: concordance between observed physician methods and guideline-recommended methods

OBJECTIVE

To determine and evaluate the accuracy of methods physicians use to detect diagnostic criteria for pediatric hypertension [hypertensive blood pressures (BPs) on three or more occasions] in electronic health records (EHRs).

METHODS

Methods used by pediatric-trained physicians (n = 12) to detect diagnostic criteria for hypertension in a simulation using a child's EHR data were directly observed, timed, and evaluated for accuracy. All physicians were given the same information regarding diagnostic criteria to eliminate knowledge gaps. Then, computer modeling and EHR data from 41 654 3-18-year-olds were used to simulate and compare the accuracy of detecting hypertension criteria using an observed-shorthand method vs. the guideline-recommended/gold-standard method.

RESULTS

No physician used the guideline-recommended method of determining multiple time-of-care hypertension thresholds for child age/height at the time of each BP measure. One physician estimated the child's BP diagnosis without computing thresholds; 11 of 12 physicians determined the child's hypertension threshold from age/height data at the time of a current visit and applied/imputed this threshold to BP measured at all visits (current-visit threshold used to assess historical-visit BPs) to detect three separate BP elevations. Physicians took 2.3 min (95% confidence interval, 1.5-3.0) to declare a diagnosis. Sensitivity was 83.1% when applying the current-visit threshold to detect the guideline-recommended-BP-threshold diagnosis using EHR data. Specificity and positive-predictive/negative-predictive values ranged from 98.5 to 99.9%.

CONCLUSION

Physicians applied a shorthand method to evaluate pediatric BPs. Computer-simulated comparison of the shorthand and guideline methods using clinical data suggest the shorthand method could yield an inaccurate impression of a child's BP history in 17% of pediatric ambulatory visits.

Clinical Decision Support for the Diagnosis and Management of Adult and Pediatric Hypertension

PURPOSE OF REVIEW

To review literature from 2016 to 2019 on clinical decision support (CDS) for diagnosis and management of hypertension in children and adults.

RECENT FINDINGS

Ten studies described hypertension CDS systems. Novel advances included the integration of patient-collected blood pressure data, automated information retrieval and management support, and use of CDS in low-resource/developing-world settings and in pediatrics. Findings suggest that CDS increases hypertension detection/control, yet many children and adults with hypertension remain undetected or undercontrolled. CDS challenges included poor usability (from lack of health record integration, excessive data entry requests, and wireless connectivity challenges) and lack of clinician trust in blood pressure measures. Hypertension CDS has improved but not closed gaps in the detection and control of hypertension in children and adults. The studies reviewed indicate that the usability of CDS and the system where CDS is deployed (e.g., commitment to high-quality blood pressure measurement/infrastructure) may impact CDS's ability to increase hypertension detection and control.

Identification of hypertension in hospitalized children prescribed as-needed antihypertensive medication

Imperfect measurement conditions, transient blood pressure (BP) elevation due to pain or anxiety, and heavy clinical demands complicate hypertension (HTN) diagnosis in hospitalized children, and may prevent recognition of hypertensive episodes for children prescribed as-needed (PRN) antihypertensive medication. The authors sought to describe the incidence and predictors of missed BP elevation among hospitalized children prescribed PRN antihypertensive medication at our hospital. BP data were retrospectively audited for children age 2-18 admitted in 2018 to the general ward, and prescribed PRN oral nifedipine, intravenous [IV] or oral hydralazine, or IV labetalol. Appropriate recognition of BP elevation (exceeding the parameters in the medication order) was defined as administering medication within the ordered dosing interval, administering the medication earlier than planned, or physician documentation of why HTN treatment was withheld. Mixed-effects logistic regression was used to identify factors associated with recognition of BP elevation. Fifty-six hospitalizations including 616 BP measurements were analyzed. BP elevation was appropriately recognized in 230 (37%) instances, in most of which (n = 190) the antihypertensive medication was given after excessive BP was noted. On multivariable analysis, higher systolic BP and BP elevation occurring at night were associated with increased likelihood of appropriate recognition. BP elevations are frequently missed in hospitalized children prescribed PRN antihypertensive medication. Particularly, there was low recognition of diastolic BP elevation and of systolic BP elevation close to but still exceeding the ordered threshold. Further staff education may be needed to raise awareness of lower BP thresholds for HTN in younger and smaller children.

Association of an Electronic Health Record Add-on App for Neonatal Bilirubin Management With Physician Efficiency and Care Quality

IMPORTANCE

The usefulness of electronic health record (EHR) systems could be significantly enhanced by innovative, third-party EHR add-on apps.

OBJECTIVE

To evaluate whether an EHR add-on app for neonatal bilirubin management can save clinicians time and improve patient care.

DESIGN, SETTING, AND PARTICIPANTS

This quality improvement study was conducted at the University of Utah Health Well Baby nursery and outpatient clinics and consisted of 4 substudies: (1) time savings were estimated in an experimental task-timing study comparing the time required for physicians to manage newborns' bilirubin levels with and without the add-on app, (2) app use was estimated from app logs, (3) health care use measures and guideline compliance were compared retrospectively before and after the intervention, and (4) clinician-perceived usability was measured through System Usability Scale surveys. The study took place between April 1, 2016, and September 3, 2019. Data analyses were conducted from October 30, 2018, to September 23, 2019.

INTERVENTIONS

At baseline, clinicians used a manual approach to ensure compliance with an evidence-based clinical guideline for neonatal bilirubin management. To facilitate guideline compliance, an EHR add-on app that automatically retrieves, organizes, and visualizes relevant patient data was developed. The app provides patient-specific assessments and recommendations, including the risk of rebound hyperbilirubinemia following phototherapy based on a predictive model. The add-on app was integrated with the University of Utah Health EHR on April 12, 2017.

MAIN OUTCOMES AND MEASURES

Clinician time savings, app use, health care use measures, guideline-compliant phototherapy ordering, and perceived usability as measured by the System Usability Scale survey. The survey is composed of 10 statements with responses ranging from 1 (strongly disagree) to 5 (strongly agree). The survey results in a single score ranging from 0 to 100, with ratings described as worst imaginable (mean System Usability Scale score, 12.5), awful (20.3), poor (35.7), okay (50.9), good (71.4), excellent (85.5), and best imaginable (90.9).

RESULTS

In 2018, the application was used 20 516 times by clinicians for 91.84% of eligible newborns. Use of the app saved 66 seconds for bilirubin management tasks compared with a commonly used tool (95% CI, 53-79 seconds; P < .001). Following the intervention, health care use rates remained stable, while orders for clinically appropriate phototherapy during hospitalization increased for newborns with bilirubin levels above the guideline-recommended threshold (odds ratio, 1.84; 95% CI, 1.16-2.90; P = .009). Surveys indicated excellent usability (System Usability Scale score, 83.90; 95% CI, 81.49-86.31).

CONCLUSIONS AND RELEVANCE

Well-designed EHR add-on apps may save clinicians time and improve patient care. If time-saving apps, such as the bilirubin app, were implemented widely across institutions and care domains, the potential association with improved patient care and clinician efficiency could be significant. The University of Utah Health bilirubin app is being prepared for release into EHR app stores as free-to-use software.

Evaluation and management of elevated blood pressures in hospitalized children

Elevated blood pressures (BP) are common among hospitalized children and, if not recognized and treated promptly, can lead to potentially significant consequences. Even though we have normative BP data and well-developed guidelines for the diagnosis and management of hypertension (HTN) in the ambulatory setting, our understanding of elevated BPs and their relationship to HTN in hospitalized children is limited. Several issues have hampered our ability to diagnose and manage HTN in the inpatient setting including the common presence of physiologic conditions, which are associated with transient BP elevations (i.e., pain or anxiety), non-standard approaches to BP measurement, a lack of clarity regarding appropriate diagnostic and therapeutic thresholds, and marginal outcome data. The purpose of this review is to highlight the issues and challenges surrounding BP monitoring, assessment of elevated BPs, and the diagnosis of HTN in hospitalized children. Extrapolating from currently available clinical practice guidelines and utilizing the best data available, we aim to provide guidelines regarding evaluation and treatment of elevated BP in hospitalized children.

The Use of Data Collected From mHealth Apps to Inform Evidence-Based Quality Improvement: An Integrative Review

BACKGROUND

The global acceptance and use of technology in health care has resulted in an abundance of mobile health (mHealth) applications (apps) available for use in the delivery and improvement of care. With so many apps available to patients and clinicians, it is important to understand how data from apps are being used to inform quality improvement in practice.

AIM

The aim of this integrative review is to establish current knowledge of how mHealth apps are used to produce data to inform quality improvement in health care.

METHODS

Scopus, Web of Science, CINAHL, and Medline Plus Full Text databases were searched for peer-reviewed papers written in English. The inclusion criteria comprised of full-text, empirical research studies relating to mobile health application use (not development) in clinical care.

RESULTS

Nineteen studies met inclusion criteria. The functions of the apps outlined in the studies can be summarized into four different categories: communication, illness management, clinical management, and education/information. The types of data collected by the apps included numerical, textual, photographic, and graphical with several apps able to collect a variety of data types. Analysis of the studies showed that although data collection is rarely outlined as the explicit purpose of mHealth apps, data collected through such technology are and can be used to inform practice change both in real time and retrospectively.

LINKING EVIDENCE TO ACTION

This review highlights while this is an emerging area, data obtained from mHealth apps can and are being used to inform quality improvement in health care. Further research is required in this area to adequately understand how data from mHealth apps can be used to produce quality improvement, specifically in relation to nursing. This review also highlights a need for the development of apps that aim to capture data to inform quality improvement, particularly from the patient perspective.

Height-specific blood pressure cutoffs for screening elevated and high blood pressure in children and adolescents: an International Study

Pediatric blood pressure (BP) reference tables are generally based on sex, age, and height and tend to be cumbersome to use in routine clinical practice. In this study, we aimed to develop a new, height-specific simple BP table according to the international child BP reference table based on sex, age and height and to evaluate its performance using international data. We validated the simple table in a derivation cohort that included 58,899 children and adolescents aged 6-17 years from surveys in 7 countries (China, India, Iran, Korea, Poland, Tunisia, and the United States) and in a validation cohort that included 70,072 participants from three other surveys (China, Poland and Seychelles). The BP cutoff values for the simple table were calculated for eight height categories for both the 90th ("elevated BP") and 95th ("high BP") percentiles of BP. The simple table had a high performance to predict high BP compared to the reference table, with high values (boys/girls) of area under the curve (0.94/0.91), sensitivity (88.5%/82.9%), specificity (99.3%/99.7%), positive predictive values (93.9%/97.3%), and negative predictive values (98.5%/97.8%) in the pooled data from 10 studies. The simple table performed similarly well for predicting elevated BP. A simple table based on height only predicts elevated BP and high BP in children and adolescents nearly as well as the international table based on sex, age, and height. This has important implications for simplifying the detection of pediatric high BP in clinical practice.

Electronic health record with computerized decision support tools for the purposes of a pediatric cardiovascular heart disease screening program in Crete

BACKGROUND AND OBJECTIVE

Early detection of cardiovascular (CV) disease or associated risk factors during childhood is of paramount importance, allowing for early treatment or lifestyle modifications, respectively. The objective of this study was to describe the development of an electronic health record (EHR), with integrated computerized decision support system (CDSS), specifically designed for supporting the needs of a pilot pediatric CV disease screening program applied on primary school students of a Mediterranean island.

METHODS

Evidence-based knowledge, national and international practice guidelines regarding sport preparticipation CV screening of children and young athletes has been used for the design of the designated EHR. A CDSS, capable for providing alerts for further cardiology evaluation need, has been incorporated into the EHR, based on normative anthropometric and electrocardiographic data as well as predefined positive history responses.

RESULTS

We developed a designated EHR with integrated CDSS supporting pediatric CV disease screening, capable for documenting CV-related personal and family history responses, physical evaluation data (weight, height, blood pressure), allowing for entering electrocardiogam (ECG) measurements and for uploading of multimedia files (including ECG images and digital phonocardiogram audio files). The EHR incorporates clinical calculators and referral alerts for the presence (and degree) of adiposity, hypertension, ECG abnormalities and positive history responses indicative of high CV disease risk. In a preliminary EHR validation, performed by entering data from 53 previously available paper-based health records, the EHR was proven to be fully functional.

CONCLUSIONS

The pediatric cardiology EHR with CDSS features which we developed might serve as a model for EHR for primary health care purposes, capable to document and early detect CV disease and associated risk factors in pediatric populations.

Clinical Decision Support for Recognition and Management of Hypertension: A Randomized Trial

OBJECTIVES

Although blood pressure (BP) is routinely measured in outpatient visits, elevated BP and hypertension are often not recognized. We evaluated whether an electronic health record-linked clinical decision support (CDS) tool could improve the recognition and management of hypertension in adolescents.

METHODS

We randomly assigned 20 primary care clinics within an integrated care system to CDS or usual care. At intervention sites, the CDS displayed BPs and percentiles, identified incident hypertension on the basis of current or previous BPs, and offered tailored order sets. The recognition of hypertension was identified by an automated review of diagnoses and problem lists and a manual review of clinical notes, antihypertensive medication prescriptions, and diagnostic testing. Generalized linear mixed models were used to test the effect of the intervention.

RESULTS

Among 31 579 patients 10 to 17 years old with a clinic visit over a 2-year period, 522 (1.7%) had incident hypertension. Within 6 months of meeting criteria, providers recognized hypertension in 54.9% of patients in CDS clinics and 21.3% of patients in usual care (P ≤ .001). Clinical recognition was most often achieved through visit diagnoses or documentation in the clinical note. Within 6 months of developing incident hypertension, 17.1% of CDS subjects were referred to dieticians or weight loss or exercise programs, and 9.4% had additional hypertension workup versus 3.9% and 4.2%, respectively (P = .001 and .046, respectively). Only 1% of patients were prescribed an antihypertensive medication within 6 months of developing hypertension.

CONCLUSIONS

The CDS had a significant, beneficial effect on the recognition of hypertension, with a moderate increase in guideline-adherent management.

The Use of Electronic Health Records to Identify Children with Elevated Blood Pressure and Hypertension

Elevated blood pressures often go unrecognized in pediatric patients, potentially putting children and adolescents at risk for the sequelae of untreated hypertension. This may be partially due to the complexity involved in diagnosing elevated pediatric blood pressures, which demands a high cognitive workload from providers. Tools built into electronic health records have the potential to alleviate this workload, and studies investigating these tools confirm they show promise in improving elevated blood pressure recognition. However, the current tools are not perfect, and determining the optimal design and implementation of future iterations requires further study. The proper integration of patient-generated blood pressure readings, such as those obtained during ambulatory blood pressure monitors, also requires careful consideration.