Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train.

OBJECTIVE: Hospitals and healthcare providers should assess and compare the quality of care given to patients and based on this improve the care. In the Netherlands, hospitals provide data to national quality registries, which in return provide annual quality indicators. However, this process is time-consuming, resource intensive and risks patient privacy and confidentiality. In this paper, we presented a multicentric 'Proof of Principle' study for federated calculation of quality indicators in patients with colorectal cancer. The findings suggest that the proposed approach is highly time-efficient and consume significantly lesser resources. MATERIALS AND METHODS: Two quality indicators are calculated in an efficient and privacy presevering federated manner, by i) applying the Findable Accessible Interoperable and Reusable (FAIR) data principles and ii) using the Personal Health Train (PHT) infrastructure. Instead of sharing data to a centralized registry, PHT enables analysis by sending algorithms and sharing only insights from the data. RESULTS: ETL process extracted data from the Electronic Health Record systems of the hospitals, converted them to FAIR data and hosted in RDF endpoints within each hospital. Finally, quality indicators from each center are calculated using PHT and the mean result along with the individual results plotted. DISCUSSION AND CONCLUSION: PHT and FAIR data principles can efficiently calculate quality indicators in a privacy-preserving federated approach and the work can be scaled up both nationally and internationally. Despite this, application of the methodology was largely hampered by ELSI issues. However, the lessons learned from this study can provide other hospitals and researchers to adapt to the process easily and take effective measures in building quality of care infrastructures.

The Ability of Primary Care Practices to Measure and Report on Care Quality.

BACKGROUND: Creating useful clinical quality measure (CQM) reports in a busy primary care practice is known to depend on the capability of the electronic health record (EHR). Two other domains may also contribute: supportive leadership to prioritize the work and commit the necessary resources, and individuals with the necessary health information technology (IT) skills to do so. Here we describe the results of an assessment of the above 3 domains and their associations with successful CQM reporting during an initiative to improve smaller primary care practices' cardiovascular disease CQMs. METHODS: The study took place within an AHRQ EvidenceNOW initiative of external support for smaller practices across Washington, Oregon and Idaho. Practice facilitators who provided this support completed an assessment of the 3 domains previously described for each of their assigned practices. Practices submitted 3 CQMs to the study team: appropriate aspirin prescribing, use of statins when indicated, blood pressure control, and tobacco screening/cessation. RESULTS: Practices with advanced EHR reporting capability were more likely to report 2 or more CQMs. Only one-third of practices were "advanced" in this domain, and this domain had the highest proportion of practices (39.1%) assessed as "basic." The presence of advanced leadership or advanced skills did not appreciably increase the proportion of practices that reported 2 or more CQMs. CONCLUSIONS: Our findings support previous reports of limited EHR reporting capabilities within smaller practices but extend these findings by demonstrating that practices with advanced capabilities in this domain are more likely to produce CQM reports.

Using the Electronic Medical Record to Address Code Status Documentation: A Quality Improvement Project.

ABSTRACT: Code status (CS) is often overlooked while admitting patients to the hospital. This is important for patients with end-stage disease. This quality improvement project investigated whether a CS pop-up alert in the electronic medical record, combined with provider education, improved addressing CS. The project consisted of a baseline chart review, implementation of the alert and physician education, and a postintervention chart review. We reviewed 1828 charts at baseline and 1,775 at postintervention. From univariable analysis, there were improvements in addressing CS, being full code, cardiopulmonary resuscitation, intubation, use of vasopressors, and cardioversion technique categories (all p < .001). Documentation of do not resuscitate did not change. From logistic regression, after controlling for age, race, end-stage liver disease, stroke, cancer, hospital unit, and sepsis, patients in the postintervention period were two times more likely to have CS addressed (odds ratio [OR] = 2.04, p < .001). There was a significant improvement in CS documentation from our interventions.

Accuracy of Electronic Health Record Food Insecurity, Housing Instability, and Financial Strain Screening in Adult Primary Care.

This study assesses the accuracy of electronic health record­based screening questionnaires about social risk factors using external single-domain questionnaires as a comparator.

Influências dos canais de comunicação, sistema social e tempo na difusão do prontuário eletrônico do cidadão no Brasil / Influence of the elements communication channels, social system and time on the diffusion of the Electronic Health Record

O objetivo do artigo é analisar as influências dos elementos (canais de comunicação, sistema social e tempo) sobre a difusão do Prontuário Eletrônico do Cidadão. Foi realizado um estudo de caso, de abordagem qualitativa, fundamentado na Teoria da Difusão da Inovação, contendo 17 entrevistas e observações do cotidiano de trabalho de 8 equipes de saúde da família envolvidas na utilização da tecnologia em um Município do oeste de Minas Gerais. Os dados foram analisados por meio da Análise de Conteúdo, modalidade Temático-Categorial, e sistematizados com o software Atlas Ti. Observou-se que os canais de comunicação de massa de mídia e interpessoais potencializaram a difusão da tecnologia. Além disso, destacou-se a aceitação da inovação, fomentada pelo enfermeiro, que motivou e mobilizou a equipe para essa aderência. Foi possível compreender que alguns fatores contribuíram para resistência, como por exemplo, médicos e outros profissionais, com maior tempo de trabalho, consideravam a tecnologia complexa e o tempo insuficiente. A difusão da tecnologia também foi influenciada por estratégias no contexto do sistema social: criação de escalas de digitação, revezamentos, acordos, dentre outras. Alguns desafios emergiram: coexistência entre as tecnologias referentes ao Prontuário Eletrônico do Cidadão e o prontuário em ofício, conflitos, deficiências estruturais e de capacitação, e subutilização da tecnologia. Constatou-se que os elementos (canais de comunicação, tempo e sistema social), influenciam a difusão da inovação, predominantemente, colaborando para sua adoção no contexto estudado(AU)

El propósito del artículo fue analizar la influencia de los elementos canales de comunicación, sistema social y tiempo en la difusión del Registro Ciudadano Electrónico en Brasil. Se realizó un estudio de caso, con enfoque cualitativo, basado en la Teoría de Difusión de la Innovación, que contiene 17 entrevistas y observaciones del trabajo diario de 8 equipos de salud familiar involucrados en el uso de la tecnología en una ciudad del occidente de Minas Gerais. Los datos fueron analizados mediante análisis de contenido y la modalidad temático-categorial, sistematizados con el software Atlas Ti. Se observó que los medios de comunicación y los canales de comunicación interpersonal potenciaron la difusión de la tecnología. Además, se destacó la aceptación de la innovación, impulsada por la enfermera, que motivó y movilizó al equipo para esta adherencia. Se pudo comprender que algunos factores contribuían a la resistencia, por ejemplo, los médicos y otros profesionales, con mayor jornada laboral, consideraban el complejo tecnológico y el tiempo insuficiente. La difusión de la tecnología también estuvo influenciada por estrategias en el contexto del sistema social: creación de escalas de mecanografía, relevos, acuerdos, entre otros. Han surgido algunos desafíos: convivencia entre tecnologías relacionadas con la Historia Clínica Electrónica del Ciudadano y la historia clínica, conflictos, deficiencias estructurales y formativas y subutilización de la tecnología. Se encontró que los elementos (canales de comunicación, tiempo y sistema social), influyen en la difusión de la innovación, predominantemente, colaborando para su adopción en el contexto estudiado(AU)

The purpose of the study was to analyze the influence of the elements communication channels, social system and time on the diffusion of the Electronic Health Record in Brasil. A qualitative case study was conducted based on innovation diffusion theory, which contains 17 interviews and observations of the daily work of eight family health teams involved in the use of technology in a city of western Minas Gerais. The data were processed by thematic-categorial content analysis and systematized with the software Atlas Ti. Communication means and interpersonal communication channels were found to strengthen technology diffusion. Acceptance of the innovation was fostered by the nurse, who encouraged and mobilized the team in this direction. It was observed that some factors contributed to resistance. For example, doctors and other professionals with longer work hours considered that the technology was complex and the time available insufficient. Diffusion of technology was also affected by strategies deriving from the social system context: creation of typing scales, reliefs and agreements, among others. Some challenges have emerged: coexistence of technologies related to the Electronic Health Record and the clinical record, conflicts, structural and training deficiencies, and underused technology. It was found that the elements communication channels, time and social system influence innovation diffusion, mainly by fostering its adoption in the context studied(AU)

Front-line treatment patterns in multiple myeloma: An analysis of U.S.-based electronic health records from 2011 to 2019.

Multiple myeloma (MM) treatment options have evolved rapidly, but how new agents are incorporated into treatment decisions in current practice is not well understood. This study examined prescribing trends of physicians treating newly diagnosed MM and treatment outcomes in the United States. Electronic health record data from 6271 adult patients diagnosed with MM and receiving initial treatment between 1 January 2011 and 31 January 2020 were derived from the Flatiron Health electronic-health record de-identified database. The number/types of agents included in therapy regimens, time to next treatment (TTNT), and overall survival (OS) were assessed. Subgroups were analyzed by the International Staging System (ISS) disease stage at diagnosis, stem cell transplant eligibility and timing, and practice type. Exploratory prognostic models evaluated the association between baseline covariates and time-to-event outcomes. The proportion of patients receiving triplet therapies increased from 2011 (36%) to 2019 (72%) as those receiving initial monotherapy or doublet therapy decreased. Overall, the most prevalent triplet regimen consisted of an immunomodulatory drug (IMiD), a proteasome inhibitor, and a steroid. From 2017 to 2019, median TTNT from front-line to second-line was longer in patients with ISS stage I versus stages II/III, and in those receiving IMiD-containing doublet or triplet therapies versus other combinations. Overall median OS was 56 months and increased from 2011 to 2014, after which median OS was not yet reached. Age, ISS stage, and high-risk status were prognostic for both OS and TTNT, while sex, practice type, and ECOG status were prognostic for OS only.

Evaluation of algorithms using administrative health and structured electronic medical record data to determine breast and colorectal cancer recurrence in a Canadian province : Using algorithms to determine breast and colorectal cancer recurrence.

BACKGROUND: Algorithms that use administrative health and electronic medical record (EMR) data to determine cancer recurrence have the potential to replace chart reviews. This study evaluated algorithms to determine breast and colorectal cancer recurrence in a Canadian province with a universal health care system. METHODS: Individuals diagnosed with stage I-III breast or colorectal cancer diagnosed from 2004 to 2012 in Manitoba, Canada were included. Pre-specified and conditional inference tree algorithms using administrative health and structured EMR data were developed. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) correct classification, and scaled Brier scores were measured. RESULTS: The weighted pre-specified variable algorithm for the breast cancer validation cohort (N = 1181, 167 recurrences) demonstrated 81.1% sensitivity, 93.2% specificity, 61.4% PPV, 97.4% NPV, 91.8% correct classification, and scaled Brier score of 0.21. The weighted conditional inference tree algorithm demonstrated 68.5% sensitivity, 97.0% specificity, 75.4% PPV, 95.8% NPV, 93.6% correct classification, and scaled Brier score of 0.39. The weighted pre-specified variable algorithm for the colorectal validation cohort (N = 693, 136 recurrences) demonstrated 77.7% sensitivity, 92.8% specificity, 70.7% PPV, 94.9% NPV, 90.1% correct classification, and scaled Brier score of 0.33. The conditional inference tree algorithm demonstrated 62.6% sensitivity, 97.8% specificity, 86.4% PPV, 92.2% NPV, 91.4% correct classification, and scaled Brier score of 0.42. CONCLUSIONS: Algorithms developed in this study using administrative health and structured EMR data to determine breast and colorectal cancer recurrence had moderate sensitivity and PPV, high specificity, NPV, and correct classification, but low accuracy. The accuracy is similar to other algorithms developed to classify recurrence only (i.e., distinguished from second primary) and inferior to algorithms that do not make this distinction. The accuracy of algorithms for determining cancer recurrence only must improve before replacing chart reviews.

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

INTRODUCTION: Some patients with end-stage disease who may neither want nor benefit from aggressive resuscitation receive such treatment if they cannot communicate in an emergency. Timely access to patients' current resuscitation wishes, or "code status," should be a key metric of electronic health records (EHR). We sought to determine what percentage of a cohort of patients with end-stage disease who present to the emergency department (ED) have accessible, code status documents, and for those who do, how quickly can this documentation be retrieved. METHODS: In this cross-sectional study of ED patients with end-stage disease (eg, palliative care, metastatic malignancy, home oxygen, dialysis) conducted during purposefully sampled random accrual times we performed a standardized, timed review of available health records, including accompanying transfer documents. We also interviewed consenting patients and substitute decision makers to compare available code status documents to their current wishes. RESULTS: Code status documentation was unavailable within 15 minutes of ED arrival in most cases (54/85, or 63%). Retrieval time was under five minutes in the rest, especially when "one click deep" in the EHR. When interviewed, 20/32 (63%) expressed "do not resuscitate" wishes, 10 of whom had no supporting documentation. Patients from assisted-living (odds ratio [OR] 6.7; 95% confidence interval [CI], 1.7-26) and long-term care facilities (OR 13; 95% CI, 2.5-65) were more likely to have a documented code status available compared to those living in the community. CONCLUSION: The majority of patients with end-stage disease, including half of those who would not wish resuscitation from cardiorespiratory arrest, did not have code status documents readily available upon arrival to our tertiary care ED. Patients living in the community with advanced disease may be at higher risk for unwanted resuscitative efforts should they present to hospital in extremis. While easily retrievable code status documentation within the EHR shows promise, its accuracy and validity remain important considerations.

A Trend-Based Early Warning Score Can Be Implemented in a Hospital Electronic Medical Record to Effectively Predict Inpatient Deterioration.

OBJECTIVES: To determine whether a statistically derived, trend-based, deterioration index is superior to other early warning scores at predicting adverse events and whether it can be integrated into an electronic medical record to enable real-time alerts. DESIGN: Forty-three variables and their trends from cases and controls were used to develop a logistic model and deterioration index to predict patient deterioration greater than or equal to 1 hour prior to an adverse event. SETTING: Two large Australian teaching hospitals. PATIENTS: Cases were considered as patients who suffered adverse events (unexpected death, unplanned ICU transfer, urgent surgery, and rapid-response alert) between August 1, 2016, and April 1, 2019. INTERVENTIONS: The logistic model and deterioration index were tested on historical data and then integrated into an electronic medical record for a 6-month prospective "silent" validation. MEASUREMENTS AND MAIN RESULTS: Data were acquired from 258,732 admissions. There were 8,002 adverse events. The addition of vital sign and laboratory trend values to the logistic model increased the area under the curve from 0.84 to 0.89 and the sensitivity to predict an adverse event 1-48 hours prior from 0.35 to 0.41. A 48-hour simulation showed that the logistic model had a higher area under the curve than the Modified Early Warning Score and National Early Warning Score (0.87 vs 0.74 vs 0.71). During the silently run prospective trial, the sensitivity of the deterioration index to detect adverse event any time prior to the adverse event was 0.474, 0.369 1 hour prior, and 0.327 4 hours prior, with a specificity of 0.972. CONCLUSIONS: A deterioration prediction model was developed using patient demographics, ward-based observations, laboratory values, and their trends. The model's outputs were converted to a deterioration index that was successfully integrated into a live hospital electronic medical record. The sensitivity and specificity of the tool to detect inpatient deterioration were superior to traditional early warning scores.

Probabilistic linkage without personal information successfully linked national clinical datasets.

BACKGROUND: Probabilistic linkage can link patients from different clinical databases without the need for personal information. If accurate linkage can be achieved, it would accelerate the use of linked datasets to address important clinical and public health questions. OBJECTIVE: We developed a step-by-step process for probabilistic linkage of national clinical and administrative datasets without personal information, and validated it against deterministic linkage using patient identifiers. STUDY DESIGN AND SETTING: We used electronic health records from the National Bowel Cancer Audit and Hospital Episode Statistics databases for 10,566 bowel cancer patients undergoing emergency surgery in the English National Health Service. RESULTS: Probabilistic linkage linked 81.4% of National Bowel Cancer Audit records to Hospital Episode Statistics, vs. 82.8% using deterministic linkage. No systematic differences were seen between patients that were and were not linked, and regression models for mortality and length of hospital stay according to patient and tumour characteristics were not sensitive to the linkage approach. CONCLUSION: Probabilistic linkage was successful in linking national clinical and administrative datasets for patients undergoing a major surgical procedure. It allows analysts outside highly secure data environments to undertake linkage while minimizing costs and delays, protecting data security, and maintaining linkage quality.

Mixed methods assessment of impact on health awareness in adult childhood cancer survivors after viewing their personalized digital treatment summary and follow-up recommendations.

BACKGROUND: The survival rate after childhood cancer has improved to 80%. The majority of childhood cancer survivors (CCS) will experience late complications which require follow up care, including access to their individual cancer treatment summary. The need to understand CCS needs and preferences in terms of ways to receive information e.g. digitally, becomes important. This study aims to through a mixed methods approach a) examine how CCS' health awareness was impacted by viewing their personalized digital treatment summary and follow-up recommendations, b) explore E health literacy, and c) determine self-reported survivorship experiences and health care usage. METHODS: Survivors with a recent visit to the Late effects clinic were eligible for the study (n = 70). A representative sample of primary diagnoses were invited (n = 28). 16 CCS were enrolled. Recent medical visits, e health literacy and impressions of the digital treatment summary were assessed by a survey in conjunction with viewing their digital treatment summary on a computer screen. Their experience of reading and understanding their digital treatment summary in the context of their health related survivorship experiences were assessed in focus groups. The transcribed data was analyzed with conventional qualitative content analysis. RESULTS: The self-reported medical problems largely reflected that, only 6,3% reported no cancer-related reasons for seeking medical attention. Of the medical specialists, the primary care physician was the most frequently visited specialist (68.8%). High E health literacy was not associated with treatment features but with educational level (p = 0.003, CI: 3.9-14.6) and sex (p = 0.022, CI: - 13.6- -1.3). All survivors graded the digital treatment summary above average in terms of being valuable, agreeable and comprehensive. The focus group interviews identified three themes: 1) The significance of information, 2) The impact of awareness; and 3) Empowerment. CONCLUSIONS: Reading the treatment summaries furthered the survivors understanding of their health situation and consequently aided empowerment. A digital treatment summary, provided by knowledgeable health care professionals, may increase the self-managed care and adherence to follow-up recommendations. Further insights into e health literacy in larger samples of CCS may determine to what extent health-related information can be communicated via digital resources to this at risk population.

Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey.

BACKGROUND: Online medical records are being used to organize processes in clinical and outpatient settings and to forge doctor-patient communication techniques that build mutual understanding and trust. OBJECTIVE: We aimed to understand the reasons why patients tend to avoid using online medical records and to compare the perceptions that patients have of online medical records based on demographics and cancer diagnosis. METHODS: We used data from the Health Information National Trends Survey Cycle 3, a nationally representative survey, and assessed outcomes using descriptive statistics and chi-square tests. The patients (N=4328) included in the analysis had experienced an outpatient visit within the previous 12 months and had answered the online behavior question regarding their use of online medical records. RESULTS: Patients who were nonusers of online medical records consisted of 58.36% of the sample (2526/4328). The highest nonuser rates were for patients who were Hispanic (460/683, 67.35%), patients who were non-Hispanic Black (434/653, 66.46%), and patients who were older than 65 years (968/1520, 63.6%). Patients older than 65 years were less likely to use online medical records (odds ratio [OR] 1.51, 95% CI 1.24-1.84, P<.001). Patients who were White were more likely to use online medical records than patients who were Black (OR 1.71, 95% CI 1.43-2.05, P<.001) or Hispanic (OR 1.65, 95% CI 1.37-1.98, P<.001). Patients who were diagnosed with cancer were more likely to use online medical records compared to patients with no cancer (OR 1.31, 95% CI 1.11-1.55, 95% CI 1.11-1.55, P=.001). Among nonusers, older patients (≥65 years old) preferred speaking directly to their health care providers (OR 1.76, 95% CI 1.35-2.31, P<.001), were more concerned about privacy issues caused by online medical records (OR 1.79, 95% CI 1.22-2.66, P<.001), and felt uncomfortable using the online medical record systems (OR 10.55, 95% CI 6.06-19.89, P<.001) compared to those aged 18-34 years. Patients who were Black or Hispanic were more concerned about privacy issues (OR 1.42, 1.09-1.84, P=.007). CONCLUSIONS: Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics.

The quality of diabetes care among cancer survivors: a retrospective cohort study.

BACKGROUND: As cancer survivorship continues to improve, management of co-morbid diabetes has become an increasingly important determinant of health outcomes for people with cancer. This study aimed to compare indicators of diabetes quality of care between people with diabetes and without a history of cancer. METHODS: We used the Electronic Medical Record Administrative data Linked Database (EMRALD), a database of Ontario primary care EMR charts linked to administrative data, to identify people with diabetes and at least 1 year follow-up. Persons with a history of cancer were matched 1:2 on age, sex and diabetes duration to those without cancer. We compared recommended diabetes quality of care indicators between persons with and without cancer using a matched cohort analysis. RESULTS: Among 229,627 people with diabetes, we identified 2275 people with cancer and 4550 matched controls; 86.5% had diabetes diagnosed after cancer. Compared to controls, cancer people with diabetes were significantly less likely to receive ACE inhibitors or angiotensin receptor blockers (OR 0.75 [95% CI 0.64-0.89]), receive statin therapy if age 50-80 years (OR 0.79 [95% CI 0.68-0.92]) and achieve an LDL cholesterol level <2.0 mmol/L (OR 0.82 [95% CI 0.74-0.91]). There were no differences in recommended clinical testing or achieving A1C and blood pressure targets between groups. CONCLUSION: Cancer survivors with diabetes are less likely to receive recommended cardiovascular risk-reducing therapies compared to people with diabetes without cancer of similar age, sex and diabetes duration. Further studies are warranted to determine if these associations are linked to worse survival, cardiovascular outcomes and quality of life.

Improving Inpatient Tobacco Treatment Measures: Outcomes Through Standardized Treatment, Care Coordination, and Electronic Health Record Optimization.

INTRODUCTION: The Centers for Disease Control and Prevention states that tobacco use is the largest and most preventable cause of disease and mortality in the United States. The Joint Commission implemented inpatient tobacco treatment measures (TTMs) in 2012 to encourage healthcare systems to create processes that help patients quit tobacco use through evidence-based care. METHODS: A tobacco cessation care delivery system was implemented at James A. Haley Veterans' Hospital and Clinics, which included: standardized pathways within the Veterans Health Administration (VHA) electronic health record system to improve nicotine replacement therapy ordering; evidence-based tobacco cessation counseling; and improved care coordination for tobacco cessation treatment through the use of technological innovation. RESULTS: Outcomes were obtained from the VHA quality metric reporting system known as Strategic Analytics for Improvement and Learning (SAIL). TOB-2 and TOB-3 (two Joint Commission inpatient TTMs) equivalent to tob20 and tob40 within SAIL improved by greater than 300% after implementation at James A. Haley Veterans' Hospital and Clinics. CONCLUSION: Implementation of a tobacco cessation care system at James A. Haley Veterans' Hospital and Clinics enhanced interdisciplinary coordination of tobacco cessation care and resulted in improvements of The Joint Commission inpatient TTMs by greater than threefold.

Comparison of Manual and Automated Sepsis Screening Tools in a Pediatric Emergency Department.

OBJECTIVES: To compare the performance and test characteristics of an automated sepsis screening tool with that of a manual sepsis screen in patients presenting to a pediatric emergency department (ED). METHODS: We conducted a retrospective cohort study of encounters in a pediatric ED over a 2-year period. The automated sepsis screening algorithm replaced the manual sepsis screen 1 year into the study. A positive case was defined as development of severe sepsis or septic shock within 24 hours of disposition from the ED. We calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive and negative likelihood ratios with 95% confidence intervals (CIs) for each. RESULTS: There were 122 221 ED encounters during the study period and 273 cases of severe sepsis. During year 1 of the study, the manual screen was performed in 8910 of 61 026 (14.6%) encounters, resulting in the following test characteristics: sensitivity of 64.6% (95% CI 54.2%-74.1%), specificity of 91.1% (95% CI 90.5%-91.7%), PPV of 7.3% (95% CI 6.3%-8.5%), and NPV of 99.6% (95% CI 99.5%-99.7%). During year 2 of the study, the automated screen was performed in 100% of 61 195 encounters, resulting in the following test characteristics: sensitivity of 84.6% (95% CI 77.4%-90.2%), specificity of 95.1% (95% CI 94.9%-95.2%), PPV of 3.7% (95% CI 3.4%-4%), and NPV of 99.9% (95% CI 99.9%-100%). CONCLUSIONS: An automated sepsis screening algorithm had higher sensitivity and specificity than a widely used manual sepsis screen and was performed on 100% of patients in the ED, ensuring continuous sepsis surveillance throughout the ED stay.

Implementing Health Care Quality Measures in Electronic Health Records: A Conceptual Model.

BACKGROUND/OBJECTIVES: There is significant literature on the development and validation of quality measures, but comparably less on their implementation into learning health systems. Electronic Health Records (EHRs) have made vast amounts of data available for quality improvement purposes. In this paper we describe a conceptual model for EHR implementation of quality measures. DESIGN: The model involves five steps: (1) select a measure; (2) define measure criteria; (3) validate criteria and measurement process; (4) improve recording of measure-related activity; and (5) engage quality improvement processes. The model was used to develop and implement a quality measure in the Home-Based Medical Care (HBMC) setting. SETTING: Harris Health House Call Program (HHHC) provides primary medical and palliative care for homebound patients in Houston. PARTICIPANTS: Four-hundred twenty-four primary care patients followed in the HHHC. MEASUREMENT: Completion rate of the 9-item Patient Health Questionnaire (PHQ-9) within the Electronic Health Record of newly enrolled HHHC patients. RESULTS: Use of the conceptual model to guide implementation of a quality measure of depression screening in a HMBC practice was successful. Additional components of early leadership and clinician buy-in were required, as well as strong relationships with IT to ease implementation and limit disruptions in clinicians' work-flow. CONCLUSION: This conceptual model was feasible for guiding implementation of a quality measure for depression care of HBMC patients, and it can guide broader implementation of EHR-based quality measures in the future.

Incidental Findings in the Trauma Population: Interdisciplinary Approach and Electronic Medical Record Reminder Association with Pre-Discharge Reporting and Medicolegal Risk.

BACKGROUND: Incidental findings (IFs) are reported in 20% or more of trauma CT scans. In addition to the importance of patient disclosure, there is considerable legal pressure to avoid missed diagnoses. We reported previously that 63.5% of IFs were disclosed before discharge and with 20% were nondisclosed. We initiated a multidisciplinary systemic plan to effect predischarge disclosure by synoptic CT reports with American College of Radiology recommended follow-up, electronic medical records discharge prompts, and provider education. STUDY DESIGN: Prospective observational series patients from November 2019 to February 2020 were included. Statistical analysis was performed with SPSS, version 21 (IBM Corp). RESULTS: Eight hundred and seventy-seven patients underwent 1 or more CT scans for the evaluation of trauma (507 were male and 370 were female). Mean age of the patients was 57 years (range 14 to 99 years) and 96% had blunt injury. In 315 patients, there were 523 IFs (1.7 per patient); the most common were lung (17.5%), kidney (13%), and liver (11%). Radiology report compliance rate was 84% (210 of 249 patients). There were 66 studies from outside facilities. Sixteen IFs were suspicious for malignancy. A total of 151 patients needed no follow-up and 148 patients needed future follow-up evaluation. Predischarge IF disclosure compliance rate was 90.1% (286 patients); 25 were post discharge. Four patients remained undisclosed. Compared with our previous report, clearer reporting and electronic medical records prompts increased predischarge disclosure from 63.5% to 90.1% (p < 0.01, chi-square test) and decreased days to notification from 29.5 (range 0 to 277) to 5.2 (range 0 to 59) (p < 0.01, Mann-Whitney U test). CONCLUSIONS: Timely, complete disclosure of IFs improves patient outcomes and reduces medicolegal risk. Collaboration among trauma, radiology, and information technology promotes improved disclosure in trauma populations.

Validity of five foot and ankle specific electronic patient-reported outcome (ePRO) instruments in patients undergoing elective orthopedic foot or ankle surgery.

BACKGROUND: Patient-reported outcomes (PROs) are widely accepted measures for evaluating outcomes of surgical interventions. As patient-reported information is stored in electronic health records, it is essential that there are valid electronic PRO (ePRO) instruments available for clinicians and researchers. The aim of this study was to evaluate the validity of electronic versions of five widely used foot and ankle specific PRO instruments. METHODS: Altogether 111 consecutive elective foot/ankle surgery patients were invited face-to-face to participate in this study. Patients completed electronic versions of the Foot and Ankle Ability Measure (FAAM), the Foot and Ankle Outcome Score (FAOS), the modified Lower Extremity Function Scale (LEFS), the Manchester-Oxford Foot Questionnaire (MOXFQ), and the Visual Analogue Scale Foot and Ankle (VAS-FA) on the day of elective foot and/or ankle surgery. Construct validity, coverage, and targeting of the scales were assessed. RESULTS: Based on general and predefined thresholds, construct validity, coverage, and targeting of the ePRO versions of the FAAM, the FAOS, the MOXFQ, and the VAS-FA were acceptable. Major issues arose with score distribution and convergent validity of the modified LEFS instrument. CONCLUSIONS: The ePRO versions of the FAAM, the FAOS, the MOXFQ, and the VAS-FA provide valid scores for foot and ankle patients. However, our findings do not support the use of the modified LEFS as an electronic outcome measure for patients with orthopedic foot and/or ankle pathologies.

Does electronic medical record redesign increase screening of risk for pressure injury, falls and substance use in the Emergency Department? An implementation evaluation.

BACKGROUND: Following the provision of urgent care, screening for risks known to impact patient outcomes is an extension of safe emergency nursing care, in particular for falls, pressure injury and substance use. Screening is a process that primarily aims to identify people at increased risk for specific complications. This study aimed to describe and evaluate the implementation of a consolidated electronic checklist on the screening completion rates for falls, pressure injury and substance use in a regional health district. METHODS: This pre-post study used emergency data from four Emergency Departments (EDs) in southern NSW, Australia between November 2016 and February 2019. Patient characteristics, triage category, discharge diagnosis, arrival date and time, screening completion date and time and treatment location were extracted. Descriptive statistics were used to describe the characteristics of the presentations. Z test with adjusted p-values using Bonferroni Correction method was used to compare the characteristics of the presentations and the rates of screening completion. The Theoretical Domains Framework was used to identify any deficits in the implementation. RESULTS: There were 33,561 patients in the pre and 35,807 in the post group. There were no differences in patient characteristics between the two groups. The mean emergency department (ED) length of stay was unchanged (490.5min pre vs 489.9min post). The proportion of patients who had all three screens completed increased from 1.3% to 5.5% (p<0.001). Pressure injury risk screening increased from 46.6% (pre) to 53.1% (post) (p<0.001) as did substance use screening (1.7% vs 12.4%, p<0.001). Screening was strongly associated to which hospital the patient was admitted, their age and ED length of stay. Of the 51 mapped intervention functions, 20 (39%) were used in the implementation. CONCLUSIONS: The introduction of a consolidated electronic checklist for use by emergency nurses to complete fall, pressure injury and substance use screening resulted in an overall increase in risk screening. However screening rates remained poor. Implementation that considers the capability, opportunity and motivation of those that need to alter their behaviour would likely improve the overall compliance.