Robert Wu

Effects of clinical communication interventions in hospitals: a systematic review of information and communication technology adoptions for improved communication between clinicians.

OBJECTIVE To conduct a systematic review of the literature to identify, describe and assess interventions of information and communication technology on the processes of communication and associated patient outcomes within hospital settings. MATERIALS AND METHODS Studies published from the years 1996 to 2010 were considered and were selected if they described an evaluation of information and communication technology interventions to improve clinical communication within hospitals. Two authors abstracted data from full text articles, and the quality of individual articles were appraised. Results of interventions were summarized by their effect. RESULTS There were 18 identified studies that evaluated the use of interventions that included alphanumeric paging, hands-free communication devices, mobile phones, smartphones, task management systems and a display based paging system. Most quantitative studies used a before and after study design and were of lower quality. Of all the studies, there was only one prospective randomized study, but this study used only simulated communication events. Quantitative studies identified improved perceptions of communication and some improvement in communication metrics. Qualitative studies described improvements in efficiency of communication but also issues of loss of control and reliability. CONCLUSIONS Despite the rapid advancement in information and communications technology over the last decade, there is limited evidence suggesting improvements in the ability of health professionals to communicate effectively. Given the critical nature of communication, we advocate further evaluation of information and communication technology designed to improve communication between clinicians. Outcome measures should include measures of patient-oriented outcomes and efficiency for clinicians.

Evidence for handheld electronic medical records in improving care: a systematic review

BackgroundHandheld electronic medical records are expected to improve physician performance and patient care. To confirm this, we performed a systematic review of the evidence assessing the effects of handheld electronic medical records on clinical care.MethodsTo conduct the systematic review, we searched MEDLINE, EMBASE, CINAHL, and the Cochrane library from 1966 through September 2005. We included randomized controlled trials that evaluated effects on practitioner performance or patient outcomes of handheld electronic medical records compared to either paper medical records or desktop electronic medical records. Two reviewers independently reviewed citations, assessed full text articles and abstracted data from the studies.ResultsTwo studies met our inclusion criteria. No other randomized controlled studies or non-randomized controlled trials were found that met our inclusion criteria. Both studies were methodologically strong. The studies examined changes in documentation in orthopedic patients with handheld electronic medical records compared to paper charts, and both found an increase in documentation. Other effects noted with handheld electronic medical records were an increase in time to document and an increase in wrong or redundant diagnoses.ConclusionHandheld electronic medical records may improve documentation, but as yet, the number of studies is small and the data is restricted to one group of patients and a small group of practitioners. Further study is required to determine the benefits with handheld electronic medical records especially in assessing clinical outcomes.

Evaluation of the Accuracy of Smartphone Medical Calculation Apps

Background Mobile phones with operating systems and capable of running applications (smartphones) are increasingly being used in clinical settings. Medical calculating applications are popular mhealth apps for smartphones. These include, for example, apps that calculate the severity or likelihood of disease-based clinical scoring systems, such as determining the severity of liver disease, the likelihood of having a pulmonary embolism, and risk stratification in acute coronary syndrome. However, the accuracy of these apps has not been assessed. Objective The objective of this study was to evaluate the accuracy of smartphone-based medical calculation apps. Methods A broad search on Google Play, BlackBerry World, and the iTunes App Store was conducted to find medical calculation apps for smartphones. The list of apps was narrowed down based on inclusion and exclusion criteria focusing on functions thought to be relevant by a panel of general internists (number of functions =13). Ten case values were inputted for each function and were compared to manual calculations. For each case, the correct answer was assigned a score of 1. A score for the 10 cases was calculated based on the accuracy of the results for each function on each app. Results We tested 14 apps and 13 functions for each app if that function was available. We conducted 10 cases for each function for a total of 1240 tests. Most functions tested on the apps were accurate in their results with an overall accuracy of 98.6% (17 errors in 1240 tests). In all, 6 of 14 (43%) apps had 100% accuracy. Although 11 of 13 (85%) functions had perfect accuracy, there were issues with 2 functions: the Child-Pugh scores and Model for End-Stage Liver Disease (MELD) scores on 8 apps. Approximately half of the errors were clinically significant resulting in a significant change in prognosis (8/17, 47%). Conclusions The results suggest that most medical calculating apps provide accurate and reliable results. The free apps that were 100% accurate and contained the most functions desired by internists were CliniCalc, Calculate by QxMD, and Medscape. When using medical calculating apps, the answers will likely be accurate; however, it is important to be careful when calculating MELD scores or Child-Pugh scores on some apps. Despite the few errors found, greater scrutiny is warranted to ensure full accuracy of smartphone medical calculator apps.

The use of smartphones in general and internal medicine units: A boon or a bane to the promotion of interprofessional collaboration?

Effective communication and coordination are critical components for improving collaborative care delivery among different healthcare providers who work in mobile and time-pressured environments. Increasingly, healthcare providers are exploring alternative communication technologies to help bridge the temporal and spatial issues that are often inherent in the clinical communication conundrum. Our study examined perceptions of General Internal Medicine (GIM) staff on the usage of Smartphone devices and a Webpaging system, which were implemented on the inpatient GIM units at two teaching hospitals in North America. An exploratory case study approach was employed and in-depth interviews with 31 clinicians were conducted. This data-set serves as a subset and prelude to a larger research study that examined and compared the impacts of different types of communication technologies used in five teaching hospitals. Findings from our study indicate that the use of Smartphone technology was well received among clinicians. Specifically, healthcare professionals valued the use of emails when communicating nonurgent issues and the availability of the phone function that enabled access to clinicians especially in urgent situations. Dissatisfaction, however, was expressed over the suitability of these smartphone features in different communication contexts as well as discrepancies between clinicians over the appropriate use of the communication modes. Future interventions in communication technology should take into considerations how communication mediums and situational contexts (e.g. urgent and nonurgent patient issues) impact interprofessional interactions.

Medical Students and Personal Smartphones in the Clinical Environment: The Impact on Confidentiality of Personal Health Information and Professionalism

Background Smartphones are becoming ubiquitous in health care settings. The increased adoption of mobile technology such as smartphones may be attributed to their use as a point-of-care information source and to perceived improvements in clinical communication and efficiency. However, little is known about medical students’ use of personal smartphones for clinical work. Objective The intent of the study was to examine final-year medical students’ experience with and attitudes toward using personal mobile technology in the clinical environment, with respect to the perceived impact on patient confidentiality and provider professionalism. Methods Cross-sectional surveys were completed by final-year medical students at the University of Toronto. Respondents were asked about the type of personal mobile phone they use, security features on their personal phone, experiences using their personal phone during clinical rotations, and attitudes about using their personal phone for clinical work purposes. Results The overall response rate was 45.4% (99/218). Smartphone ownership was prevalent (98%, 97/99) with the majority (86%, 85/99) of participants using their personal phones for patient-related communication during clinical rotations. A total of 26% (26/99) of participants reported not having any type of security feature on their personal phone, 94% (90/96) of participants agreed that using their personal phone for clinical work makes them more efficient, and 86% (82/95) agreed that their personal phone allows them to provide better patient care. Although 68% (65/95) of participants believe that the use of personal phones for patient-related communication with colleagues poses a risk to the privacy and confidentiality of patient health information, 22% (21/96) of participants still use their personal phone to text or email identifiable patient data to colleagues. Conclusions Our findings suggest that the use of personal smartphones for clinical work by medical students is prevalent. There is a need to more fully address the threat to patient confidentiality posed by the use of unsecured communication devices such as smartphones.

The intended and unintended consequences of communication systems on general internal medicine inpatient care delivery: a prospective observational case study of five teaching hospitals.

BACKGROUND Effective clinical communication is critical to providing high-quality patient care. Hospitals have used different types of interventions to improve communication between care teams, but there have been few studies of their effectiveness. OBJECTIVES To describe the effects of different communication interventions and their problems. DESIGN Prospective observational case study using a mixed methods approach of quantitative and qualitative methods. SETTING General internal medicine (GIM) inpatient wards at five tertiary care academic teaching hospitals. PARTICIPANTS Clinicians consisting of residents, attending physicians, nurses, and allied health (AH) staff working on the GIM wards. METHODS Ethnographic methods and interviews with clinical staff (doctors, nurses, medical students, and AH professionals) were conducted over a 16-month period from 2009 to 2010. RESULTS We identified four categories that described the intended and unintended consequences of communication interventions: impacts on senders, receivers, interprofessional collaboration, and the use of informal communication processes. The use of alphanumeric pagers, smartphones, and web-based communication systems had positive effects for senders and receivers, but unintended consequences were seen with all interventions in all four categories. CONCLUSIONS Interventions that aimed to improve clinical communications solved some but not all problems, and unintended effects were seen with all systems.

It's not about pager replacement: an in-depth look at the interprofessional nature of communication in healthcare.

BACKGROUND Institutions have tried to replace the use of numeric pagers for clinical communication by implementing health information technology (HIT) solutions. However, failing to account for the sociotechnical aspects of HIT or the interplay of technology with existing clinical workflow, culture, and social interactions may create other unintended consequences. OBJECTIVE To evaluate a Web-based messaging system that allows asynchronous communication between health providers and identify the unintended consequences associated with implementing such technology. DESIGN Intervention-a Web-based messaging system at the University Health Network to replace numeric paging practices in May 2010. The system facilitated clinical communication on the medical wards for coordinating patient care. Study design-pre-post mixed methods utilizing both quantitative and qualitative measures. PARTICIPANTS Five residents, 8 nurses, 2 pharmacists, and 2 social workers were interviewed. Pre-post interruption-15 residents from 5 clinical teams in both periods. MEASUREMENTS The study compared the type of messages sent to physicians before and after implementation of the Web-based messaging system; a constant comparative analysis of semistructured interviews was used to generate key themes related to unintended consequences. RESULTS Interruptions increased 233%, from 3 pages received per resident per day pre-implementation to 10 messages received per resident per day post-implementation. Key themes relating to unintended consequences that emerged from the interviews included increase in interruptions, accountability, and tactics to improve personal productivity. CONCLUSIONS Meaningful improvements in clinical communication can occur but require more than just replacing pagers. Introducing HIT without addressing the sociotechnical aspects of HIT that underlie clinical communication can lead to unintended consequences.

How much do operational processes affect hospital inpatient discharge rates

BACKGROUND The objective of this study is to determine the effect of day of the week, holiday, team admission and rotation schedules, individual attending physicians and their length of coverage on daily team discharge rates. METHODS We conducted a retrospective analysis of the General Internal Medicine (GIM) inpatient service at our institution for years 2005 and 2006, which included 5088 patients under GIM care. RESULTS Weekend discharge rate was more than 50% lower compared with reference rates whereas Friday rates were 24% higher. Holiday Monday discharge rates were 65% lower than regular Mondays, with an increase in pre-holiday discharge rates. Teams that were on-call or that were on call the next day had 15% higher discharge rates compared with reference whereas teams that were post-call had 20% lower rates. Individual attending physicians and length of attending coverage contributed small variations in discharge rates. Resident scheduling was not a significant predictor of discharge rates. CONCLUSIONS Day of the week and holidays followed by team organization and scheduling are significant predictors of daily variation in discharge rates. Introducing greater holiday and weekend capacity as well as reorganizing internal processes such as admitting and attending schedules may potentially optimize discharge rates.

Smoothing inpatient discharges decreases emergency department congestion: a system dynamics simulation model

Background Timely access to emergency patient care is an important quality and efficiency issue. Reduced discharges of inpatients at weekends are a reality to many hospitals and may reduce hospital efficiency and contribute to emergency department (ED) congestion. Objective To evaluate the daily number of ED beds occupied by inpatients after evenly distributing inpatient discharges over the course of the week using a computer simulation model. Methods Simulation modelling study from an academic care hospital in Toronto, Canada. Daily historical data from the general internal medicine (GIM) department between 15 January and 15 December for two years, 2005 and 2006, were used for model building and validation, respectively. Results There was good agreement between model simulations and historical data for both ED and ward censuses and their respective lengths of stay (LOS), with the greatest difference being +7.8% for GIM ward LOS (model: 9.3 days vs historical: 8.7 days). When discharges were smoothed across the 7 days, the number of ED beds occupied by GIM patients decreased by ∼27–57% while ED LOS decreased 7–14 hours. The model also demonstrated that patients occupying hospital beds who no longer require acute care have a considerable impact on ED and ward beds. Conclusions Smoothing out inpatient discharges over the course of a week had a positive effect on decreasing the number of ED beds occupied by inpatients. Despite the particular challenges associated with weekend discharges, simulation experiments suggest that discharges evenly spread across the week may significantly reduce bed requirements and ED LOS.

Comparing Administration of Questionnaires via the Internet to Pen-and-Paper in Patients with Heart Failure: Randomized Controlled Trial

Background The use of the Internet to administer questionnaires has many potential advantages over the use of pen-and-paper administration. Yet it is important to validate Internet administration, as most questionnaires were initially developed and validated for pen-and-paper delivery. While some have been validated for use over the Internet, these questionnaires have predominately been used amongst the healthy general population. To date, information is lacking on the validity of questionnaires administered over the Internet in patients with chronic diseases such as heart failure. Objectives To determine the validity of three heart failure questionnaires administered over the Internet compared to pen-and-paper administration in patients with heart failure. Methods We conducted a prospective randomized study using test-retest design comparing administration via the Internet to pen-and-paper administration for three heart failure questionnaires provided to patients recruited from a heart failure clinic in Toronto, Ontario, Canada: the Kansas City Cardiomyopathy Questionnaire (KCCQ), the Minnesota Living with Heart Failure Questionnaire (MLHFQ), and the Self-Care Heart Failure Index (SCHFI). Results Of the 58 subjects enrolled, 34 completed all three questionnaires. The mean difference and confidence intervals for the summary scores of the KCCQ, MLHFQ, and SCHFI were 1.2 (CI -1.5 to 4.0, scale from 0 to 100), 4.0 (CI -1.98 to 10.04, scale from 0 to 105), and 10.1 (CI 1.18 to 19.07, scale from 66.7 to 300), respectively. Conclusions Internet administration of the KCCQ appears to be equivalent to pen-and-paper administration. For the MLHFQ and SCHFI, we were unable to demonstrate equivalence. Further research is necessary to determine if the administration methods are equivalent for these instruments.