scholarly journals Understanding Nursing Workflow for Inpatient Education Delivery: Time and Motion Study

JMIR Nursing ◽  
10.2196/15658 ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. e15658
Author(s):  
Kelley M Baker ◽  
Michelle F Magee ◽  
Kelly M Smith

Background Diabetes self-management education and support improves diabetes-related outcomes, but many persons living with diabetes do not receive this. Adults with diabetes have high hospitalization rates, so hospital stays may present an opportunity for diabetes education. Nurses, supported by patient care technicians, are typically responsible for delivering patient education but often do not have time. Using technology to support education delivery in the hospital is one potentially important solution. Objective The aim of this study was to evaluate nurse and patient care technician workflow to identify opportunities for providing education. The results informed implementation of a diabetes education program on a tablet computer in the hospital setting within existing nursing workflow with existing staff. Methods We conducted a time and motion study of nurses and patient care technicians on three medical-surgical units of a large urban tertiary care hospital. Five trained observers conducted observations in 2-hour blocks. During each observation, a single observer observed a single nurse or patient care technician and recorded the tasks, locations, and their durations using a Web-based time and motion data collection tool. Percentage of time spent on a task and in a location and mean duration of task and location sessions were calculated. In addition, the number of tasks and locations per hour, number of patient rooms visited per hour, and mean time between visits to a given patient room were determined. Results Nurses spent approximately one-third of their time in direct patient care and much of their time (60%) on the unit but not in a patient room. Compared with nurses, patient care technicians spent a significantly greater percentage of time in direct patient care (42%; P=.001). Nurses averaged 16.2 tasks per hour, while patient care technicians averaged 18.2. The mean length of a direct patient care session was 3:42 minutes for nurses and 3:02 minutes for patient care technicians. For nurses, 56% of task durations were 2 minutes or less, and 38% were one minute or less. For patient care technicians, 62% were 2 minutes or less, and 44% were 1 minute or less. Nurses visited 5.3 and patient care technicians 9.4 patient rooms per hour. The mean time between visits to a given room was 37:15 minutes for nurses and 33:28 minutes for patient care technicians. Conclusions The workflow of nurses and patient care technicians, constantly in and out of patient rooms, suggests an opportunity for delivering a tablet to the patient bedside. The average time between visits to a given room is consistent with bringing the tablet to a patient in one visit and retrieving it at the next. However, the relatively short duration of direct patient care sessions could potentially limit the ability of nurses and patient care technicians to spend much time with each patient on instruction in the technology platform or the content.

2019 ◽  
Author(s):  
Kelley M Baker ◽  
Michelle F Magee ◽  
Kelly M Smith

BACKGROUND Diabetes self-management education and support improves diabetes-related outcomes, but many persons living with diabetes do not receive this. Adults with diabetes have high hospitalization rates, so hospital stays may present an opportunity for diabetes education. Nurses, supported by patient care technicians, are typically responsible for delivering patient education but often do not have time. Using technology to support education delivery in the hospital is one potentially important solution. OBJECTIVE The aim of this study was to evaluate nurse and patient care technician workflow to identify opportunities for providing education. The results informed implementation of a diabetes education program on a tablet computer in the hospital setting within existing nursing workflow with existing staff. METHODS We conducted a time and motion study of nurses and patient care technicians on three medical-surgical units of a large urban tertiary care hospital. Five trained observers conducted observations in 2-hour blocks. During each observation, a single observer observed a single nurse or patient care technician and recorded the tasks, locations, and their durations using a Web-based time and motion data collection tool. Percentage of time spent on a task and in a location and mean duration of task and location sessions were calculated. In addition, the number of tasks and locations per hour, number of patient rooms visited per hour, and mean time between visits to a given patient room were determined. RESULTS Nurses spent approximately one-third of their time in direct patient care and much of their time (60%) on the unit but not in a patient room. Compared with nurses, patient care technicians spent a significantly greater percentage of time in direct patient care (42%; <italic>P</italic>=.001). Nurses averaged 16.2 tasks per hour, while patient care technicians averaged 18.2. The mean length of a direct patient care session was 3:42 minutes for nurses and 3:02 minutes for patient care technicians. For nurses, 56% of task durations were 2 minutes or less, and 38% were one minute or less. For patient care technicians, 62% were 2 minutes or less, and 44% were 1 minute or less. Nurses visited 5.3 and patient care technicians 9.4 patient rooms per hour. The mean time between visits to a given room was 37:15 minutes for nurses and 33:28 minutes for patient care technicians. CONCLUSIONS The workflow of nurses and patient care technicians, constantly in and out of patient rooms, suggests an opportunity for delivering a tablet to the patient bedside. The average time between visits to a given room is consistent with bringing the tablet to a patient in one visit and retrieving it at the next. However, the relatively short duration of direct patient care sessions could potentially limit the ability of nurses and patient care technicians to spend much time with each patient on instruction in the technology platform or the content.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 4704-4704
Author(s):  
David A Hanauer ◽  
Sung W Choi ◽  
Robert W Beasley ◽  
Ronald B Hirschl ◽  
Douglas W Blayney

Abstract No data are available concerning the impact of CPOE on inpatient leukemia and lymphoma care. CPOE may improve patient safety, reduce time between order entry and medication administration, and reduce medication and transcription errors. However, concerns have arisen about potential increased time required to enter electronic orders compared to handwritten orders. Our hypothesis was that CPOE would require more order-related time from caregivers, and reduce the amount of time for direct patient care. We studied the work patterns of three Physician Assistants (PAs) who worked under the supervision of faculty physicians, and were the exclusive inpatient care providers. The PA-staffed hematology service was chosen to minimize the impact of rotating house staff on our results. Faculty, who were not studied, entered the few chemotherapy orders necessary, while PAs entered orders for hydration, antibiotics, supportive care and other medications, and for consultations and diagnostic tests. The UMHS Institutional Review Board reviewed the study protocol and waived the requirement for patient informed consent. We performed a direct observation time and motion study pre- and post-implementation of a commercial CPOE system (Sunrise Clinical Manager™ 4.5, Eclipsys, Boca Raton, Florida) on one inpatient hematology service at the UMHS University Hospital. The same three PAs were shadowed pre- and post-implementation. We also closely matched morning and afternoon observation times in order to reduce variability in activities taking place at different times of the day. Prior to CPOE implementation the PAs had a 4 hour general training session and a 1 hour chemotherapy training session. Pre-built order sets were routinely used by the PAs. A portable tablet computer was used by an independent observer to record data, using a data entry interface containing 63 individual activity categories modified from the Time and Motion database under “IT Tools” at http://www.ahrq.gov. Data were grouped into subcategories for analysis. We grouped 12 activities as ordering-related (e.g. writing orders, writing forms, clarifying orders, etc.) We observed the same three PAs for 85.4 hours (over 2 weeks) pre, and for 75.8 hours (over 4 weeks) starting 3 months post-CPOE. Mean patient census was 11.3 per day pre- and 9.2 per day post implementation observation periods. Overall time for order-related activities was unchanged, requiring 7.7% of total time pre- and 8.1% of total time post-CPOE even though actual order writing took longer with CPOE compared to written (4.9% pre vs. 7.0% post). CPOE had almost no impact on direct patient care time (Figure), with PAs spending 38.2% total time on direct patient care pre-CPOE compared to 38.4% post. A minimal difference was also found with the overall total for indirect patient care activities (37.1% pre vs. 38.7% post). Our results suggest that using CPOE on a busy hematology inpatient service has minimal impact on time spent by trained PAs using standard order sets 3 months after implementation. The decision to adopt CPOE for a busy hematology service should not be based on the hypothesis that there will be a change in workflow or task organization. More study is needed to determine if CPOE for hematology patients results in a change in the quality of patient care or safety. Figure. Percentage of total time spent in 6 analysis categories both before and after implementation of a commercial CPOE system for an inpatient hematology service. These 6 categories represent 63 individual activities categories that were recorded in the time and motion study. Error bars represent 95% confidence intervals. Figure. Percentage of total time spent in 6 analysis categories both before and after implementation of a commercial CPOE system for an inpatient hematology service. These 6 categories represent 63 individual activities categories that were recorded in the time and motion study. Error bars represent 95% confidence intervals.


1989 ◽  
Vol 29 (1) ◽  
pp. 23 ◽  
Author(s):  
DL Hopkins

Equations were developed to predict the weight of trimmed retail (bone-in) cuts, trim, fat and bone from 321 lamb carcasses, ranging in carcass weight from 4.8 to 26.8 kg and in fat depth at the GR site (12th rib) from 1 to 31 mm. For commercial application, the equations were developed using a multiple regression program with the predictors carcass weight and GR. All equations explained a large amount of the variation in component weights (r2 = 0.76-0.99). A time and motion study using 172 carcasses showed that the times required to butcher carcasses of low fat (score 1 and 2) were similar. Likewise the mean time taken to butcher score 3 carcasses was similar to that of score 1 carcasses. However, it took significantly longer (P<0.05) to butcher score 3 carcasses than score 2 carcasses, and score 4 and 5 carcasses than score 3 carcasses. In addition, the mean times taken to butcher score 4 and 5 carcasses were significantly different (P< 0.05). By using multiple regression analysis it was shown that carcass weight, fatscore, their interaction and the butcher all significantly affected the butchering time. The findings of this work are discussed as they apply to the commercial development of price schedules and show that, when based on yield, lean heavy carcasses are more profitable for processing.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1724-1724 ◽  
Author(s):  
Erwin De Cock ◽  
Persefoni Kritikou ◽  
Sunning Tao ◽  
Christof Wiesner ◽  
Tim Waterboer ◽  
...  

Abstract Background Rituximab (MabThera®; Rituxan®) is the standard treatment for indolent non-Hodgkin's lymphoma (iNHL). Results from the phase 3 SABRINA study (NCT01200758) showed that a fixed-dose subcutaneous (SC) formulation of rituximab shortened administration time without compromising efficacy or safety compared with intravenous (IV) infusion of rituximab. A switch to the SC formulation is expected to offer healthcare professionals (HCP) time and cost savings. Aims This study aims to quantify resource utilization in terms of active HCP time (ie, time actively dedicated to a patient) and chair time related to rituximab SC vs rituximab IV in the treatment of patients with iNHL and to estimate potential time and cost savings for the conversion from IV to SC (per administration session and for the first year of treatment). Methods This is a multinational, multicenter, prospective, observational time and motion study. Data for rituximab SC injections were collected alongside the MABCUTE (MO25455; NCT01461928) trial, while data for rituximab IV infusions were collected in a real-world setting in the same data collection period and in 23 centers in Italy (IT), Russia (RU), Slovenia (SL), United Kingdom (UK), Spain (SP), France (FR), Austria (AU), and Brazil (BR). Following interviews with a nurse and pharmacy member in each center, generic case report forms for IV, SC, and drug preparation area (including pharmacy) processes were tailored to reflect local site practices. Trained observers recorded both the time that HCPs were actively completing prespecified tasks (using a stopwatch), and patient chair time (based on length of time between patients entering and exiting chairs). This is a descriptive study with convenience-based sample sizes. A random effects regression model was run for each task (pooled sample by country) to generate task mean and 95% confidence interval (CI) using appropriate distributions. IV vs SC process time per patient was calculated as the sum of the mean task times. Results The difference in mean active HCP time saved by switching from rituximab IV to rituximab SC ranged from 6.8 min in AU to 38.4 min in the UK (Table 1). The proportionate reduction in mean HCP time ranged from 27% in SP to 57% in RU. The mean time saved (% reduction) in the treatment room ranged from 0.3 min (2%) in SP to 25.4 min (63%) in the UK. Over the course of the first-year of treatment (6 induction and 3 maintenance sessions), the estimated reduction in total HCP time associated with the switch ranged from 0.9 hr in AU to 5.1 hr in the UK. The differences in mean chair time saved with SC over IV administration ranged from 126.1 min in SL (64%) to 280.1 min (86%) in IT. Simulating these findings for a hypothetical center treating 50 patients for 9 sessions annually indicated that the amount of chair time freed would range from 105.1 (SL) to 233.4 (IT) 8-hour days. Staff opportunity cost estimates will be presented at the conference. Conclusions The current analysis indicates that a switch from rituximab IV to rituximab SC leads to a substantial reduction in administration chair time and in active HCP time. These time savings could allow more time to be used for other patient care activities, increasing the number of patients who could be treated and thus increasing the overall efficiency of treatment centers. Disclosures: De Cock: F. Hoffman-La Roche Ltd: Consultancy, Research Funding. Kritikou:F. Hoffmann-La Roche Ltd: Consultancy, Research Funding. Tao:F. Hoffmann-La Roche Ltd: Consultancy, Research Funding. Wiesner:Genentech: Employment. Off Label Use: Rituximab, administered as an IV infusion, is approved for use in a number of hematologic indications. The data presented here assess a subcutaneous approach to rituximab administration in patients with indolent Non-Hodgkin’s Lymphoma.


1937 ◽  
Vol 16 (11) ◽  
pp. 609
Author(s):  
A. Sykes ◽  
Hall ◽  
George Hepworth ◽  
F. Grover ◽  
E. Drake ◽  
...  

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