Cardiovascular Assessment Tool for Breast Cancer Survivors and Oncology Providers: Usability Study

BACKGROUND

Cardiovascular health is of increasing concern to breast cancer survivors and their health care providers, as many survivors are more likely to die from cardiovascular disease than cancer. Implementing clinical decision support tools to address cardiovascular risk factor awareness in the oncology setting may enhance survivors' attainment or maintenance of cardiovascular health.

OBJECTIVE

We sought to evaluate survivors' awareness of cardiovascular risk factors and examine the usability of a novel electronic health record enabled cardiovascular health tool from the perspective of both breast cancer survivors and oncology providers.

METHODS

Breast cancer survivors (n=49) recruited from a survivorship clinic interacted with the cardiovascular health tool and completed pre and posttool assessments about cardiovascular health knowledge and perceptions of the tool. Oncologists, physician assistants, and nurse practitioners (n=20) who provide care to survivors also viewed the cardiovascular health tool and completed assessments of perceived usability and acceptability.

RESULTS

Enrolled breast cancer survivors (84% White race, 4% Hispanic ethnicity) had been diagnosed 10.8 years ago (SD 6.0) with American Joint Committee on Cancer stage 0, I, or II (45/49, 92%). Prior to viewing the tool, 65% of survivors (32/49) reported not knowing their level for one or more cardiovascular health factors (range 0-4). On average, only 45% (range 0%-86%) of survivors' known cardiovascular health factors were at an ideal level. More than 50% of survivors had ideal smoking status (45/48, 94%) or blood glucose level (29/45, 64%); meanwhile, less than 50% had ideal blood pressure (12/49, 24%), body mass index (12/49, 24%), cholesterol level (17/35, 49%), diet (7/49, 14%), and physical activity (10/49. 20%). More than 90% of survivors thought the tool was easy to understand (46/47, 98%), improved their understanding (43/47, 91%), and was helpful (45/47, 96%); overall, 94% (44/47 survivors) liked the tool. A majority of survivors (44/47, 94%) thought oncologists should discuss cardiovascular health during survivorship care. Most (12/20, 60%) oncology providers (female: 12/20, 60%; physicians: 14/20, 70%) had been practicing for more than 5 years. Most providers agreed the tool provided useful information (18/20, 90%), would help their effectiveness (18/20, 90%), was easy to use (20/20, 100%), and presented information in a useful format (19/20, 95%); and 85% of providers (17/20) reported they would use the tool most or all of the time when providing survivorship care.

CONCLUSIONS

These usability data demonstrate acceptability of a cardiovascular health clinical decision support tool in oncology practices. Oncology providers and breast cancer survivors would likely value the integration of such apps in survivorship care. By increasing awareness and communication regarding cardiovascular health, electronic health record-enabled tools may improve survivorship care delivery for breast cancer and ultimately patient outcomes.

Foundations for Studying Clinical Workflow: Development of a Composite Inter-Observer Reliability Assessment for Workflow Time Studies

The ability to understand and measure the complexity of clinical workflow provides hospital managers and researchers with the necessary knowledge to assess some of the most critical issues in healthcare. Given the protagonist role of workflow time studies on influencing decision makers, major efforts are being conducted to address existing methodological inconsistencies of the technique. Among major concerns, the lack of a standardized methodology to ensure the reliability of human observers stands as a priority. In this paper, we highlight the limitations of the current Inter-Observer Reliability Assessments, and propose a novel composite score to systematically conduct them. The composite score is composed of a) the overall agreement based on Kappa that evaluates the naming agreement on virtually created one-seconds tasks, providing a global assessment of the agreement over time, b) a naming agreement based on Kappa, requiring an observation pairing approach based on time-overlap, c) a duration agreement based on the concordance correlation coefficient, that provides means to evaluate the correlation concerning tasks duration, d) a timing agreement, based on descriptive statistics of the gaps between timestamps of same-task classes, and e) a sequence agreement based on the Needleman-Wunsch sequence alignment algorithm. We hereby provide a first step towards standardized reliability reporting in workflow time studies. This new composite IORA protocol is intended to empower workflow researchers with a standardized and comprehensive method for validating observers' reliability and, in turn, the validity of their data and results.

Nurses' Stress Associated with Nursing Activities and Electronic Health Records: Data Triangulation from Continuous Stress Monitoring, Perceived Workload, and a Time Motion Study

As health IT has become overloaded with patient information, provider burnout and stress has accelerated. Studies have shown that EHR usage leads to heightened cognitive workload for nurses, and increases in cognitive workload can result in stronger feelings of exhaustion and burnout. We conducted a time motion study in an oncology division to examine the relationships between nurses' perceived workload, stress measured by blood pulse wave (BPw), and their time spent on nursing activities, and to identify stress associated with EHR use. We had a total of 33 observations from 7 nurses. We found that EHR-related stress is associated with nurses' perceived physical demand and frustration. We also found that nurses' perceived workload is a strong predictor of nurses' stress as well as how they spent time with their patients. They also experienced higher perceived mental demand, physical demand, and temporal demand when they were assigned to more patients, regardless of patient acuity. Our study presents a unique data triangulation approach from continuous stress monitoring, perceived workload, and a time motion study.

Nurses' Time Allocation and Multitasking of Nursing Activities: A Time Motion Study

Nurses have been required to provide more patient-centered, efficient, and cost effective care. In order to do so, they need to work at the top of their license. We conducted a time motion study to document nursing activities on communication, hands-on tasks, and locations (where activities occurred), and compared differences between different time blocks (7am-11am, 11am-3pm, and 3pm-7pm). We found that nurses spent most of their time communicating with patients and in patient rooms. Nurses also spent most of their time charting and reviewing information in EHR, mostly at the nursing station. Nurses' work was not distributed equally across a 12-hour shift. We found that greater frequency and duration in hands-on tasks occurred between 7am-11am. In addition, nurses spent approximately 10% of their time on delegable and non-nursing activities, which could be used more effectively for patient care. The study results provide evidence to assist nursing leaders to develop strategies for transforming nursing practice through re-examination of nursing work and activities, and to promote nurses working at top of license for high quality care and best outcomes. Our research also presents a novel and quantifiable method to capture data on multidimensional levels of nursing activities.

Understanding and Visualizing Multitasking and Task Switching Activities: A Time Motion Study to Capture Nursing Workflow

A fundamental understanding of multitasking within nursing workflow is important in today's dynamic and complex healthcare environment. We conducted a time motion study to understand nursing workflow, specifically multitasking and task switching activities. We used TimeCaT, a comprehensive electronic time capture tool, to capture observational data. We established inter-observer reliability prior to data collection. We completed 56 hours of observation of 10 registered nurses. We found, on average, nurses had 124 communications and 208 hands-on tasks per 4-hour block of time. They multitasked (having communication and hands-on tasks simultaneously) 131 times, representing 39.48% of all times; the total multitasking duration ranges from 14.6 minutes to 109 minutes, 44.98 minutes (18.63%) on average. We also reviewed workflow visualization to uncover the multitasking events. Our study design and methods provide a practical and reliable approach to conducting and analyzing time motion studies from both quantitative and qualitative perspectives.

Usability and Workflow Evaluation of "RhEumAtic Disease activitY" (READY). A Mobile Application for Rheumatology Patients and Providers

BACKGROUND

RhEumAtic Disease activitY (READY) is a mobile health (mHealth) application that aims to create a shared platform integrating data from both patients and physicians, with a particular emphasis on arthritis disease activity.

METHODS

We made READY available on an iPad and pilot implemented it at a rheumatology outpatient clinic. We conducted 1) a usability evaluation study to explore patients' and physicians' interactions with READY, and 2) a time motion study (TMS) to observe the clinical workflow before and after the implementation.

RESULTS

A total of 33 patients and 15 physicians participated in the usability evaluation. We found usability problems in navigation, data entry, pain assessment, documentation, and instructions along with error messages. Despite these issues, 25 (75,76%) patients reported they liked READY. Physicians provided mixed feedback because they were concerned about the impact of READY on clinical workflow. Six physicians participated in the TMS. We observed 47 patient visits (44.72 hours) in the pre-implementation phase, and 42 patient visits (37.82 hours) in the post-implementation phase. We found that patients spent more time on READY than paper (4.39mins vs. 2.26mins), but overall, READY did not delay the workflow (pre = 52.08 mins vs. post = 45.46 mins). This time difference may be compensated with READY eliminating a workflow step for the staff.

CONCLUSION

Patients preferred READY to paper documents. Many found it easier to input information because of the larger font size and the ease of 'tapping' rather than writing-out or circling answers. Even though patients spent more time on READY than using paper documents, the longer usage of READY was mainly due to when troubleshooting was needed. Most patients did not have problems after receiving initial support from the staff. This study not only enabled improvements to the software but also serves as good reference for other researchers or institutional decision makers who are interested in implementing such a technology.

Textual inference for eligibility criteria resolution in clinical trials

Clinical trials are essential for determining whether new interventions are effective. In order to determine the eligibility of patients to enroll into these trials, clinical trial coordinators often perform a manual review of clinical notes in the electronic health record of patients. This is a very time-consuming and exhausting task. Efforts in this process can be expedited if these coordinators are directed toward specific parts of the text that are relevant for eligibility determination. In this study, we describe the creation of a dataset that can be used to evaluate automated methods capable of identifying sentences in a note that are relevant for screening a patient's eligibility in clinical trials. Using this dataset, we also present results for four simple methods in natural language processing that can be used to automate this task. We found that this is a challenging task (maximum F-score=26.25), but it is a promising direction for further research.

A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination

Post-coordination provides the means to achieve an appropriate content coverage, which is critical in successfully adopting clinical reference terminologies, and thus represent clinical information consistently. However, one of the major problems of post-coordination corresponds with ensuring only clinically sensible concepts can be constructed. In this poster, we present the development of a novel approach to generate a MRCM computationally, in order to facilitate the adherence to the existing guidelines and improve the quality of post-coordination in SNOMED CT.

Emergency Department Information System Education and Training for Clinicians: Lessons Learned

Of all the potential barriers to a successful Electronic Health Record (EHR) adoption, the importance of training is often underestimated, potentially jeopardizing the implementation. Following best practices recommendations, we designed and implemented a comprehensive EHR training framework. The aim of this poster is to describe our experience with such a framework in the implementation of our home-grown Emergency Department Information System (EDIS), report lessons learned and provide recommendations for other institutions facing EHR adoptions in Chile and Latin America.

[The discharge process]

Discharge is one of the most important processes that hospitalized patients must endure. This process is complex, requires coordination among several professionals and transfers an overwhelming amount of information to patients. Often, it is limited to the writing of the discharge summary, with a primary emphasis on the drug list. Since the rise of hospitalism in 1996, a greater emphasis has been placed on understanding this process and in developing interventions to make it more effective and safe. In our country, little is known about how this process is taking place. Probably the absence of financial penalties for readmissions has influenced in the lack of study and development of this process. In the USA the knowledge of the discharge process is well advanced, and several strategies have been developed for reducing adverse events, medication errors, and 30-days readmissions. Other interventions have increased patient satisfaction and the degree of knowledge about their conditions. The aim of this paper is to do a comprehensive review of the literature, to provide healthcare teams with various tools that could improve both the discharge process as well as the discharge summary. The final objective is to optimize the safety and satisfaction of our patients and the hospital metrics of quality.

Time Capture Tool (TimeCaT): development of a comprehensive application to support data capture for Time Motion Studies

Time Motion Studies (TMS) have proved to be the gold standard method to measure and quantify clinical workflow, and have been widely used to assess the impact of health information systems implementation. Although there are tools available to conduct TMS, they provide different approaches for multitasking, interruptions, inter-observer reliability assessment and task taxonomy, making results across studies not comparable. We postulate that a significant contributing factor towards the standardization and spread of TMS would be the availability and spread of an accessible, scalable and dynamic tool. We present the development of a comprehensive Time Capture Tool (TimeCaT): a web application developed to support data capture for TMS. Ongoing and continuous development of TimeCaT includes the development and validation of a realistic inter-observer reliability scoring algorithm, the creation of an online clinical tasks ontology, and a novel quantitative workflow comparison method.

[Biomedical informatics]

Biomedical Informatics is a new discipline that arose from the need to incorporate information technologies to the generation, storage, distribution and analysis of information in the domain of biomedical sciences. This discipline comprises basic biomedical informatics, and public health informatics. The development of the discipline in Chile has been modest and most projects have originated from the interest of individual people or institutions, without a systematic and coordinated national development. Considering the unique features of health care system of our country, research in the area of biomedical informatics is becoming an imperative.

[Competences on hypoglycemia management among healthcare professionals in a clinical hospital]

BACKGROUND

A tight glycemic control of hospitalized patients increases the risk of hypoglycemia, whose management is not always optimal.

AIM

To assess the hypoglycemia management competences of a multidisciplinary team in a clinical hospital.

MATERIAL AND METHODS

An anonymous questionnaire about hypoglycemia management was answered by 11 staff physicians, 42 residents and 28 nurses of the department of medicine and critical care unit ofa university hospital.

RESULTS

Respondents had a mean of 60% of correct answers, without significant differences between groups. The capillary blood glucose level that defines hypoglycemia was known by most of the respondents, but the value that defines severe episodes was known only by 60%. The initial management and follow up was well known only for severe episodes. Less than 50%o knew the blood glucose value that required continuing with treatment.

CONCLUSIONS

Although most professionals are able to recognize hypoglycemia, the knowledge about is management if insufficient.

[Low energy transcatheter atrial defibrillation in one patient with refractory atrial fibrillation]

Most cases of atrial fibrillation are converted with antiarrhythmic medications or external electric defibrillation. However, in some refractory patients, an internal transcatheter defibrillation must be attempted. We report a 50 years old male with an atrial fibrillation of one year duration that was refractory to pharmacological treatment and in whom external cardioversion was unsuccessful. After the application of a bifasic shock of 10 joules between a catheter in the right atrium and another one located at the coronary sinus, the patient was converted to sinus rhythm. At two months of follow up, the patient continues in sinus rhythm.