What works in medication reconciliation: an on-treatment and site analysis of the MARQUIS2 study.

BACKGROUND: The second Multicenter Medication Reconciliation Quality Improvement Study demonstrated a marked reduction in medication discrepancies per patient. The aim of the current analysis was to determine the association of patient exposure to each system-level intervention and receipt of each patient-level intervention on these results. METHODS: This study was conducted at 17 North American Hospitals, the study period was 18 months per site, and sites typically adopted interventions after 2-5 months of preintervention data collection. We conducted an on-treatment analysis (ie, an evaluation of outcomes based on patient exposure) of system-level interventions, both at the category level and at the individual component level, based on monthly surveys of implementation site leads at each site (response rate 65%). We then conducted a similar analysis of patient-level interventions, as determined by study pharmacist review of documented activities in the medical record. We analysed the association of each intervention on the adjusted number of medication discrepancies per patient in admission and discharge orders, based on a random sample of up to 22 patients per month per site, using mixed-effects Poisson regression with hospital site as a random effect. We then used a generalised linear mixed-effects model (GLMM) decision tree to determine which patient-level interventions explained the most variance in discrepancy rates. RESULTS: Among 4947 patients, patient exposure to seven of the eight system-level component categories was associated with modest but significant reductions in discrepancy rates (adjusted rate ratios (ARR) 0.75-0.97), as were 15 of the 17 individual system-level intervention components, including hiring, reallocating and training personnel to take a best possible medication history (BPMH) and training personnel to perform discharge medication reconciliation and patient counselling. Receipt of five of seven patient-level interventions was independently associated with large reductions in discrepancy rates, including receipt of a BPMH in the emergency department (ED) by a trained clinician (ARR 0.40, 95% CI 0.37 to 0.43), admission medication reconciliation by a trained clinician (ARR 0.57, 95% CI 0.50 to 0.64) and discharge medication reconciliation by a trained clinician (ARR 0.64, 95% CI 0.57 to 0.73). In GLMM decision tree analyses, patients who received both a BPMH in the ED and discharge medication reconciliation by a trained clinician experienced the lowest discrepancy rates (0.08 per medication per patient). CONCLUSION AND RELEVANCE: Patient-level interventions most associated with reductions in discrepancies were receipt of a BPMH of admitted patients in the ED and admission and discharge medication reconciliation by a trained clinician. System-level interventions were associated with modest reduction in discrepancies for the average patient but are likely important to support patient-level interventions and may reach more patients. These findings can be used to help hospitals and health systems prioritise interventions to improve medication safety during care transitions.

Safer Type 1 Diabetes Care at Home: SEIPS-based Process Mapping with Parents and Clinicians.

Introduction: The limited data indicate that pediatric medical errors in the outpatient setting, including at home, are common. This study is the first step of our Ambulatory Pediatric Patient Safety Learning Lab to address medication errors and treatment delays among children with T1D in the outpatient setting. We aimed to identify failures and potential solutions associated with medication errors and treatment delays among outpatient children with T1D. Methods: A transdisciplinary team of parents, safety researchers, and clinicians used Systems Engineering Initiative for Patient Safety (SEIPS) based process mapping of data we collected through in-home medication review, observation of administration, chart reviews, parent surveys, and failure modes and effects analysis (FMEA). Results: Eight (57%) of the 14 children who had home visits experienced 18 errors (31 per 100 medications). Four errors in two children resulted in harm, and 13 had the potential for harm. Two injuries occurred when parents failed to treat severe hypoglycemia and lethargy, and two were due to repeated failures to administer insulin at home properly. In SEIPS-based process maps, high-risk errors occurred during communication between the clinic and home or in management at home. Two FMEAs identified interventions to better communicate with families and support home care, especially during evolving illness. Conclusion: Using SEIPS-based process maps informed by multimodal methods to identify medication errors and treatment delays, we found errors were common. Better support for managing acute illness at home and improved communication between the clinic and home are potentially high-yield interventions.

Effects of a refined evidence-based toolkit and mentored implementation on medication reconciliation at 18 hospitals: results of the MARQUIS2 study.

BACKGROUND: The first Multicenter Medication Reconciliation Quality Improvement (QI) Study (MARQUIS1) demonstrated that mentored implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals, but results varied by site. The objective of this study was to determine the effects of a refined toolkit on a larger group of hospitals. METHODS: We conducted a pragmatic quality improvement study (MARQUIS2) at 18 North American hospitals or hospital systems from 2016 to 2018. Incorporating lessons learnt from MARQUIS1, we implemented a refined toolkit, offering 17 system-level and 6 patient-level interventions. One of eight physician mentors coached each site via monthly calls and performed one to two site visits. The primary outcome was number of unintentional medication discrepancies in admission or discharge orders per patient. Time series analysis used multivariable Poisson regression. RESULTS: A total of 4947 patients were sampled, including 1229 patients preimplementation and 3718 patients postimplementation. Both the number of system-level interventions adopted per site and the proportion of patients receiving patient-level interventions increased over time. During the intervention, patients experienced a steady decline in their medication discrepancy rate from 2.85 discrepancies per patient to 0.98 discrepancies per patient. An interrupted time series analysis of the 17 sites with sufficient data for analysis showed the intervention was associated with a 5% relative decrease in discrepancies per month over baseline temporal trends (adjusted incidence rate ratio: 0.95, 95% CI 0.93 to 0.97, p<0.001). Receipt of patient-level interventions was associated with decreased discrepancy rates, and these associations increased over time as sites adopted more system-level interventions. CONCLUSION: A multicentre medication reconciliation QI initiative using mentored implementation of a refined best practices toolkit, including patient-level and system-level interventions, was associated with a substantial decrease in unintentional medication discrepancies over time. Future efforts should focus on sustainability and spread.

Medication Safety in Two Intensive Care Units of a Community Teaching Hospital After Electronic Health Record Implementation: Sociotechnical and Human Factors Engineering Considerations.

OBJECTIVE: The aim of the study was to assess the impact of Electronic Health Record (EHR) implementation on medication safety in two intensive care units (ICUs). METHODS: Using a prospective pre-post design, we assessed 1254 consecutive admissions to two ICUs before and after an EHR implementation. Each medication event was evaluated with regard to medication error (error type, medication-management stage) and impact on patient (severity of potential or actual harm). RESULTS: We identified 4063 medication-related events either pre-implementation (2074 events) or post-implementation (1989 events). Although the overall potential for harm due to medication errors decreased post-implementation only 2 of the 3 error rates were significantly lower post-implementation. After EHR implementation, we observed reductions in rates of medication errors per admission at the stages of transcription (0.13-0, P < 0.001), dispensing (0.49-0.16, P < 0.001), and administration (0.83-0.56, P = 0.011). Within the ordering stage, 4 error types decreased post-implementation (orders with omitted information, error-prone abbreviations, illegible orders, failure to renew orders) and 4 error types increased post-implementation (orders of wrong drug, orders containing a wrong start or stop time, duplicate orders, orders with inappropriate or wrong information). Within the administration stage, we observed a reduction of late administrations and increases in omitted administrations and incorrect documentation. CONCLUSIONS: Electronic Health Record implementation in two ICUs was associated with both improvement and worsening in rates of specific error types. Further safety improvements require a nuanced understanding of how various error types are influenced by the technology and the sociotechnical work system of the technology implementation. Recommendations based on human factors engineering principles are provided for reducing medication errors.

Remembering Ben-Tzion Karsh's scholarship, impact, and legacy.

Dr. Ben-Tzion (Bentzi) Karsh was a mentor, collaborator, colleague, and friend who profoundly impacted the fields of human factors and ergonomics (HFE), medical informatics, patient safety, and primary care, among others. In this paper we honor his contributions by reflecting on his scholarship, impact, and legacy in three ways: first, through an updated simplified bibliometric analysis in 2020, highlighting the breadth of his scholarly impact from the perspective of the number and types of communities and collaborators with which and whom he engaged; second, through targeted reflections on the history and impact of Dr. Karsh's most cited works, commenting on the particular ways they impacted our academic community; and lastly, through quotes from collaborators and mentees, illustrating Dr. Karsh's long-lasting impact on his contemporaries and students.

It's time to bring human factors to primary care policy and practice.

Primary health care is a complex, highly personal, and non-linear process. Care is often sub-optimal and professional burnout is high. Interventions intended to improve the situation have largely failed. This is due to a lack of a deep understanding of primary health care. Human Factors approaches and methods will aid in understanding the cognitive, social and technical needs of these specialties, and in designing and testing proposed innovations. In 2012, Ben-Tzion Karsh, Ph.D., conceived a transdisciplinary conference to frame the opportunities for research human factors and industrial engineering in primary care. In 2013, this conference brought together experts in primary care and human factors to outline areas where human factors methods can be applied. The results of this expert consensus panel highlighted four major research areas: Cognitive and social needs, patient engagement, care of community, and integration of care. Work in these areas can inform the design, implementation, and evaluation of innovations in Primary Care. We provide descriptions of these research areas, highlight examples and give suggestions for future research.

Adverse Event Reporting: Harnessing Residents to Improve Patient Safety.

OBJECTIVES: Reporting of adverse and near miss events are essential to identify system level targets to improve patient safety. Resident physicians historically report few events despite their role as front-line patient care providers. We sought to evaluate barriers to adverse event reporting in an effort to improve reporting. Our main outcomes were as follows: resident attitudes about event reporting and the frequency of event reporting before and after interventions to address reporting barriers. METHODS: We surveyed first year residents regarding barriers to adverse event reporting and used this input to construct a fishbone diagram listing barriers to reporting. Barriers were addressed, and resident event reporting was compared before and after efforts were made to reduce obstacles to reporting. RESULTS: First year residents (97%) recognized the importance of submitting event reports; however, the majority (85%) had not submitted an event report in the first 6 months of residency. Only 7% of residents specified that they had not witnessed an adverse event in 6 months, whereas one third had witnessed 10 or more events. The main barriers were as follows: lack of knowledge about how to submit events (38%) and lack of time to submit reports (35%). After improving resident education around event reporting and simplifying the reporting process, resident event reporting increased 230% (68 to 154 annual reports, P = 0.025). CONCLUSIONS: We were able to significantly increase resident event reporting by educating residents about adverse events and near misses and addressing the primary barriers to event reporting. Moving forward, we will continue annual resident education about patient safety, focus on improving feedback to residents who submit reports, and empower senior residents to act as role models to junior residents in patient safety initiatives.

An On-Treatment Analysis of the MARQUIS Study: Interventions to Improve Inpatient Medication Reconciliation.

It is unclear which medication reconciliation interventions are most effective at reducing inpatient medication discrepancies. Five United States hospitals' interdisciplinary quality improvement (QI) teams were virtually mentored by QI-trained physicians. Sites implemented one to seven evidence-based interventions in 791 patients during the 25-month implementation period. Three interventions were associated with significant decreases in potentially harmful discrepancy rates: (1) defining clinical roles and responsibilities, (2) training, and (3) hiring staff to perform discharge medication reconciliation. Two interventions were associated with significant increases in potentially harmful discrepancy rates: training staff to take medication histories and implementing a new electronic health record (EHR). Hospitals should focus first on hiring and training pharmacy staff to assist with medication reconciliation at discharge and delineating roles and responsibilities of clinical staff. We caution hospitals implementing a large vendor EHR, as medication discrepancies may increase. Finally, the effect of medication history training on discrepancies needs further study.

Impact of family-centered tailoring of pediatric diabetes self-management resources.

BACKGROUND: The American Diabetes Association recommends a family-centered approach that addresses each family's specific type 1 diabetes self-management barriers. OBJECTIVE: To assess an intervention that tailored delivery of self-management resources to families' specific self-management barriers. SUBJECTS: At two sites, 214 children 8-16 years old with type 1 diabetes and their parent(s) were randomized to receive tailored self-management resources (intervention, n = 106) or usual care (n = 108). METHODS: Our intervention (1) identified families' self-management barriers with a validated survey, (2) tailored self-management resources to identified barriers, and (3) delivered the resources as four group sessions coordinated with diabetes visits. Mixed effects models with repeated measures were fit to A1c as well as parent and child QOL during the intervention and 1 year thereafter. RESULTS: Participants were 44% youth (8-12 years) and 56% teens (13-16 years). No intervention effect on A1c or QOL was shown, combining data from sites and age groups. Analyzing results by site and age group, post-intervention A1c for teens at one site declined by 0.06 more per month for intervention teens compared to usual care (P < 0.05). In this group, post-intervention A1c declined significantly when baseline A1c was >8.5 (-0.08, P < 0.05), with an even larger decline when baseline A1c was >10 (-0.19, P < 0.05). In addition, for these teens, the significant improvements in A1c resulted from addressing barriers related to motivation to self-manage. Also at this site, mean QOL increased by 0.61 points per month more during the intervention for parents of intervention youth than for usual care youth (P < 0.05). CONCLUSIONS: Tailored self-management resources may improve outcomes among specific populations, suggesting the need to consider families' self-management barriers and patient characteristics before implementing self-management resources.

Effects of a multifaceted medication reconciliation quality improvement intervention on patient safety: final results of the MARQUIS study.

BACKGROUND: Unintentional discrepancies across care settings are a common form of medication error and can contribute to patient harm. Medication reconciliation can reduce discrepancies; however, effective implementation in real-world settings is challenging. METHODS: We conducted a pragmatic quality improvement (QI) study at five US hospitals, two of which included concurrent controls. The intervention consisted of local implementation of medication reconciliation best practices, utilising an evidence-based toolkit with 11 intervention components. Trained QI mentors conducted monthly site phone calls and two site visits during the intervention, which lasted from December 2011 through June 2014. The primary outcome was number of potentially harmful unintentional medication discrepancies per patient; secondary outcome was total discrepancies regardless of potential for harm. Time series analysis used multivariable Poisson regression. RESULTS: Across five sites, 1648 patients were sampled: 613 during baseline and 1035 during the implementation period. Overall, potentially harmful discrepancies did not decrease over time beyond baseline temporal trends, adjusted incidence rate ratio (IRR) 0.97 per month (95% CI 0.86 to 1.08), p=0.53. The intervention was associated with a reduction in total medication discrepancies, IRR 0.92 per month (95% CI 0.87 to 0.97), p=0.002. Of the four sites that implemented interventions, three had reductions in potentially harmful discrepancies. The fourth site, which implemented interventions and installed a new electronic health record (EHR), saw an increase in discrepancies, as did the fifth site, which did not implement any interventions but also installed a new EHR. CONCLUSIONS: Mentored implementation of a multifaceted medication reconciliation QI initiative was associated with a reduction in total, but not potentially harmful, medication discrepancies. The effect of EHR implementation on medication discrepancies warrants further study. TRIAL REGISTRATION NUMBER: NCT01337063.

Meaningful use's benefits and burdens for US family physicians.

Objective: The federal meaningful use (MU) program was aimed at improving adoption and use of electronic health records, but practicing physicians have criticized it. This study was aimed at quantifying the benefits (ie, usefulness) and burdens (ie, workload) of the MU program for practicing family physicians. Materials and Methods: An interdisciplinary national panel of experts (physicians and engineers) identified the work associated with MU criteria during patient encounters. They conducted a national survey to assess each criterion's level of patient benefit and compliance burden. Results: In 2015, 480 US family physicians responded to the survey. Their demographics were comparable to US norms. Eighteen of 31 MU criteria were perceived as useful for more than half of patient encounters, with 13 of those being useful for more than two-thirds. Thirteen criteria were useful for less than half of patient encounters. Four useful criteria were reported as having a high compliance burden. Discussion: There was high variability in physicians' perceived benefits and burdens of MU criteria. MU Stage 1 criteria, which are more related to basic/routine care, were perceived as beneficial by most physicians. Stage 2 criteria, which are more related to complex and population care, were perceived as less beneficial and more burdensome to comply with. Conclusion: MU was discontinued, but the merit-based incentive payment system within the Medicare Access and CHIP Reauthorization Act of 2015 adopted its criteria. For many physicians, MU created a significant practice burden without clear benefits to patient care. This study suggests that policymakers should not assess MU in aggregate, but as individual criteria for open discussion.

A Family-Centered Rounds Checklist, Family Engagement, and Patient Safety: A Randomized Trial.

BACKGROUND AND OBJECTIVES: Family-centered rounds (FCRs) have become standard of care, despite the limited evaluation of FCRs' benefits or interventions to support high-quality FCR delivery. This work examines the impact of the FCR checklist intervention, a checklist and associated provider training, on performance of FCR elements, family engagement, and patient safety. METHODS: This cluster randomized trial involved 298 families. Two hospital services were randomized to use the checklist; 2 others delivered usual care. We evaluated the performance of 8 FCR checklist elements and family engagement from 673 pre- and postintervention FCR videos and assessed the safety climate with the Children's Hospital Safety Climate Questionnaire. Random effects regression models were used to assess intervention impact. RESULTS: The intervention significantly increased the number of FCR checklist elements performed (ß = 1.2, P < .001). Intervention rounds were significantly more likely to include asking the family (odds ratio [OR] = 2.43, P < .05) or health care team (OR = 4.28, P = .002) for questions and reading back orders (OR = 12.43, P < .001). Intervention families' engagement and reports of safety climate were no different from usual care. However, performance of specific checklist elements was associated with changes in these outcomes. For example, order read-back was associated with significantly more family engagement. Asking families for questions was associated with significantly better ratings of staff's communication openness and safety of handoffs and transitions. CONCLUSIONS: The performance of FCR checklist elements was enhanced by checklist implementation and associated with changes in family engagement and more positive perceptions of safety climate. Implementing the checklist improves delivery of FCRs, impacting quality and safety of care.

Design and baseline data from a PCORI-funded randomized controlled trial of family-centered tailoring of diabetes self-management resources.

This article describes the methodology, recruitment, participant characteristics, and sustained, intensive stakeholder engagement for Project ACE (Achieving control, Connecting resources, Empowering families). Project ACE is a randomized controlled trial of children and youth ages 8-16 with type 1 diabetes evaluating the impact of tailored self-management resources on hemoglobin A1c (A1c) and quality of life (QOL). Despite strong evidence that controlling A1c reduces long-term complications, <25% of US youth with type 1 diabetes meet A1c targets. Many interventions are efficacious in improving A1c and QOL for these youth, whose families often struggle with the substantial demands of the treatment regimen. However, most such interventions are ineffective in the real world due to lack of uptake by families and limited healthcare system resources. Project ACE is a multi-site trial designed to improve diabetes outcomes by tailoring existing, evidence-based interventions to meet families' needs and preferences. We hypothesize that this family-centered approach will result in better A1c and QOL than usual care. Project ACE has recruited and randomized 214 eligible 8-16year old youth and their parents. The 9-month intervention consisted of 4 group sessions tailored to families' self-management barriers as identified by a validated instrument. Outcomes including A1c and QOL for parents and youth will be assessed for 1year after the intervention. Stakeholder engagement was used to enhance this trial's recruitment, retention and integration into routine clinical care. Findings will inform implementation and dissemination of family-centered approaches to address self-management barriers. TRIAL REGISTRATION NUMBER: NCT02024750 Trial Registrar: Clinicaltrials.gov, https://clinicaltrials.gov/ct2/show/NCT02024750.

Healthcare Team Perceptions of a Portal for Parents of Hospitalized Children Before and After Implementation.

BACKGROUND: Patient electronic health record (EHR) portals can enhance patient and family engagement by providing information and a way to communicate with their healthcare team (HCT). However, portal implementation has been limited to ambulatory settings and met with resistance from HCTs. OBJECTIVE: We evaluated HCT perceptions before and 6-months after implementation of an inpatient EHR portal application on a tablet computer given to parents of hospitalized children. METHODS: This repeated cross-sectional study was conducted with HCT members (nurses, physicians, ancillary staff) on a medical/surgical unit at a quaternary children's hospital. From December 2014-June 2015, parents of children <12 years old were given a portal application on a tablet computer. It provided real-time vitals, medications, lab results, schedules, education, HCT information and a way to send the HCT messages/requests. HCT members completed surveys pre- and post-implementation regarding their portal perceptions. Pre-post differences in HCT perceptions were compared using chi-squared, Mann-Whitney and Kruskall Wallis tests. RESULTS: Pre-implementation, HCT respondents (N=94) were generally optimistic about the benefits of a portal for parents; however, all anticipated challenges to portal use. Over the next 6-months, 296 parents used the portal, sending 176 requests and 36 messages. Post-implementation, HCT respondent (N=70) perceptions of these challenges were significantly reduced (all p<0.001), including: parents (will) have too many questions (69 vs. 3%, pre-post), parents (will) know results before the HCT (65 vs. 1%), staff (would be/are) skeptical (43 vs. 21%) and there (will be/is) not enough technical support (28 vs. 1%). CONCLUSIONS: All HCT respondents anticipated challenges in providing a portal to parents of hospitalized children; however, these concerns were minimized after implementation.

EHR-related medication errors in two ICUs.

The objective of this study was to describe the frequency, potential harm, and nature of electronic health record (EHR)-related medication errors in intensive care units (ICUs). Using a secondary data analysis of a large database of medication safety events collected in a study on EHR technology in ICUs, we assessed the EHR relatedness of a total of 1622 potential preventable adverse drug events (ADEs) identified in a sample of 624 patients in 2 ICUs of a medical center. Thirty-four percent of the medication events were found to be EHR related. The EHR-related medication events had greater potential for more serious patient harm and occurred more frequently at the ordering stage as compared to non-EHR-related events. Examples of EHR-related events included orders with omitted information and duplicate orders. The list of EHR-related medication errors can be used by health care delivery organizations to monitor implementation and use of the technology and its impact on patient safety. Health information technology (IT) vendors can use the list to examine whether their technology can mitigate or reduce EHR-related medication errors.

The myth of standardized workflow in primary care.

OBJECTIVE: Primary care efficiency and quality are essential for the nation's health. The demands on primary care physicians (PCPs) are increasing as healthcare becomes more complex. A more complete understanding of PCP workflow variation is needed to guide future healthcare redesigns. METHODS: This analysis evaluates workflow variation in terms of the sequence of tasks performed during patient visits. Two patient visits from 10 PCPs from 10 different United States Midwestern primary care clinics were analyzed to determine physician workflow. Tasks and the progressive sequence of those tasks were observed, documented, and coded by task category using a PCP task list. Variations in the sequence and prevalence of tasks at each stage of the primary care visit were assessed considering the physician, the patient, the visit's progression, and the presence of an electronic health record (EHR) at the clinic. RESULTS: PCP workflow during patient visits varies significantly, even for an individual physician, with no single or even common workflow pattern being present. The prevalence of specific tasks shifts significantly as primary care visits progress to their conclusion but, notably, PCPs collect patient information throughout the visit. DISCUSSION: PCP workflows were unpredictable during face-to-face patient visits. Workflow emerges as the result of a "dance" between physician and patient as their separate agendas are addressed, a side effect of patient-centered practice. CONCLUSIONS: Future healthcare redesigns should support a wide variety of task sequences to deliver high-quality primary care. The development of tools such as electronic health records must be based on the realities of primary care visits if they are to successfully support a PCP's mental and physical work, resulting in effective, safe, and efficient primary care.

A matter of priorities? Exploring the persistent gender pay gap in hospital medicine.

BACKGROUND: Gender earnings disparities among physicians exist even after considering differences in specialty, part-time status, and practice type. Little is known about the role of job satisfaction priorities on earnings differences. OBJECTIVE: To examine gender differences in work characteristics and job satisfaction priorities, and their relationship with gender earnings disparities among hospitalists. DESIGN: Observational cross-sectional survey study. PARTICIPANTS: US hospitalists in 2010. MEASUREMENTS: Self-reported income, work characteristics, and priorities among job satisfaction domains. RESULTS: On average, women compared to men hospitalists were younger, less likely to be leaders, worked fewer full-time equivalents, worked more nights, reported fewer daily billable encounters, more were pediatricians, worked in university settings, worked in the Western United States, and were divorced. More hospitalists of both genders prioritized optimal workload among the satisfaction domains. However, substantial pay ranked second in prevalence by men and fourth by women. Women hospitalists earned $14,581 less than their male peers in an analysis adjusting for these differences. CONCLUSIONS: The gender earnings gap persists among hospitalists. A portion of the disparity is explained by the fewer women hospitalists compared to men who prioritize pay.

Impact of electronic health record technology on the work and workflow of physicians in the intensive care unit.

OBJECTIVE: To assess the impact of EHR technology on the work and workflow of ICU physicians and compare time spent by ICU resident and attending physicians on various tasks before and after EHR implementation. DESIGN: EHR technology with electronic order management (CPOE, medication administration and pharmacy system) and physician documentation was implemented in October 2007. MEASUREMENT: We collected a total of 289 h of observation pre- and post-EHR implementation. We directly observed the work of residents in three ICUs (adult medical/surgical ICU, pediatric ICU and neonatal ICU) and attending physicians in one ICU (adult medical/surgical ICU). RESULTS: EHR implementation had an impact on the time distribution of tasks as well as the temporal patterns of tasks. After EHR implementation, both residents and attending physicians spent more of their time on clinical review and documentation (40% and 55% increases, respectively). EHR implementation also affected the frequency of switching between tasks, which increased for residents (from 117 to 154 tasks per hour) but decreased for attendings (from 138 to 106 tasks per hour), and the temporal flow of tasks, in particular around what tasks occurred before and after clinical review and documentation. No changes in the time spent in conversational tasks or the physical care of the patient were observed. CONCLUSIONS: The use of EHR technology has a major impact on ICU physician work (e.g., increased time spent on clinical review and documentation) and workflow (e.g., clinical review and documentation becoming the focal point of many other tasks). Further studies should evaluate the impact of changes in physician work on the quality of care provided.

Application of participatory ergonomics to the redesign of the family-centred rounds process.

Participatory ergonomics (PE) can promote the application of human factors and ergonomics (HFE) principles to healthcare system redesign. This study applied a PE approach to redesigning the family-centred rounds (FCR) process to improve family engagement. Various FCR stakeholders (e.g. patients and families, physicians, nurses, hospital management) were involved in different stages of the PE process. HFE principles were integrated in both the content (e.g. shared mental model, usability, workload consideration, systems approach) and process (e.g. top management commitment, stakeholder participation, communication and feedback, learning and training, project management) of FCR redesign. We describe activities of the PE process (e.g. formation and meetings of the redesign team, data collection activities, intervention development, intervention implementation) and present data on PE process evaluation. To demonstrate the value of PE-based FCR redesign, future research should document its impact on FCR process measures (e.g. family engagement, round efficiency) and patient outcome measures (e.g. patient satisfaction).