Vivian Lo

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.

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.

A smartphone‐enabled communication system to improve hospital communication: Usage and perceptions of medical trainees and nurses on general internal medicine wards

BACKGROUND There is increasing interest in the use of information and communication technologies to improve how clinicians communicate in hospital settings. METHODS We implemented a communication system with support for physician handover and secure messaging on 2 general internal medicine wards. We measured usage and surveyed physicians and nurses on perceptions of the systems effects on communication. RESULTS Between May 2011 and August 2012, a clinical teaching team received, on average, 14.8 messages per day through the system. Messages were typically sent as urgent (69.1%) and requested a text reply (76.5%). For messages requesting a text reply, 8.6% did not receive a reply. For those messages that did receive a reply, the median response time was 2.3 minutes, and 84.5% of messages received a reply within 15 minutes. Of those who completed the survey, 95.3% were medical residents (82 of 86) and 81.7% were nurses (83 of 116). Medical trainees (82.8%) and nursing staff (78.3%) agreed or strongly agreed that the system helped to speed up their daily work tasks. Overall, 67.1% of the trainees and 73.2% of nurses agreed or strongly agreed that the system made them more accountable in their clinical roles. Only 35.8% of physicians and 26.3% of nurses agreed or strongly agreed that the system was useful for communicating complex issues. CONCLUSIONS In summary, with a system designed to improve communication, we found that there was high uptake and that users perceived that the system improved efficiency and accountability but was not appropriate for communicating complex issues.

Short message service or disService: Issues with text messaging in a complex medical environment

BACKGROUND Hospitals today are experiencing major changes in their clinical communication workflows as conventional numeric paging and face-to-face verbal conversations are being replaced by computer mediated communication systems. In this paper, we highlight the importance of understanding this transition and discuss some of the impacts that may emerge when verbal clinical conversations are replaced by short text messages. METHODS In-depth interviews (n=108) and non-participatory observation sessions (n=260h) were conducted on the General Internal Medicine wards at five academic teaching hospitals in Toronto, Canada. RESULTS From our analysis of the qualitative data, we identified two major themes. De-contextualization of complex issues led to an increase in misinterpretation and an increase in back and forth messaging for clarification. Depersonalization of communication was due to less verbal conversations and face-to-face interactions and led to a negative impact on work relationships. CONCLUSIONS Text-based communication in hospital settings led to the oversimplification of messages and the depersonalization of communication. It is important to recognize and understand these unintended consequences of new technology to avoid the negative impacts to patient care and work relationships.

Improving hospital care and collaborative communications for the 21st century: key recommendations for general internal medicine.

Background Communication and collaboration failures can have negative impacts on the efficiency of both individual clinicians and health care system delivery as well as on the quality of patient care. Recognizing the problems associated with clinical and collaboration communication, health care professionals and organizations alike have begun to look at alternative communication technologies to address some of these inefficiencies and to improve interprofessional collaboration. Objective To develop recommendations that assist health care organizations in improving communication and collaboration in order to develop effective methods for evaluation. Methods An interprofessional meeting was held in a large urban city in Canada with 19 nationally and internationally renowned experts to discuss suitable recommendations for an ideal communication and collaboration system as well as a research framework for general internal medicine (GIM) environments. Results In designing an ideal GIM communication and collaboration system, attendees believed that the new system should possess attributes that aim to: a) improve workflow through prioritization of information and detection of individuals’ contextual situations; b) promote stronger interprofessional relationships with adequate exchange of information; c) enhance patient-centered care by allowing greater patient autonomy over their health care information; d) enable interoperability and scalability between and within institutions; and e) function across different platforms. In terms of evaluating the effects of technology in GIM settings, participants championed the use of rigorous scientific methods that span multiple perspectives and disciplines. Specifically, participants recommended that consistent measures and definitions need to be established so that these impacts can be examined across individual, group, and organizational levels. Conclusions Discussions from our meeting demonstrated the complexities of technological implementations in GIM settings. Recommendations on the design principles and research paradigms for an improved communication system are described.

Effect of an Intervention to Improve Team Coordination on Patients Who are Likely to be Discharged by General Internal Medicine

Effective discharge planning is important to ensuring a high quality of patient care and operational efficiency. The general internal medicine (GIM) environment is very complex and fluid, with multiple health professions providing care for patients. This makes coordination of discharges difficult, even with structured daily interprofessional rounds. The purpose of this case-control study was to evaluate a discharge notification form that predicts next-day discharges. The main measures of the study, which took place in GIM wards at two academic teaching hospitals, were the completion and accuracy of the discharge forms, length of stay, discharge times, post-discharge admissions, and emergency department visits. Seventy-six of 200 patients studied had information completed on the discharge notification form. The overall effect appeared to move discharges earlier in the day, while having no effect on length of stay. Patients whose information was completed on the discharge notification form were less likely to have an emergency department visit within 30 days post-discharge. The use of a discharge notification form appears to move discharges earlier in the day, without increasing length of stay. Further refinement and evaluation is necessary to increase usage and assess the impact on outcomes of care.