ABSTRACT
Background The daily morning round is a routine activity performed by medical teams. During the morning round, updates on the patient's clinical condition, new laboratory results, and other test results are reviewed and discussed between team members, the patient, and at times the family. Completing these tasks takes time. The design of the patient location differs between hospitals, and significant distance between patients can considerably affect round times. This study assesses physicians' time spent on clinical activities, the distance traveled, and the time they spend walking between patients during daily morning rounds to identify better reorganization methods to reduce wasted time. Methodology The survey was self-administered and had no intervention needing ethical approval. The research team's leader engaged two observers (a general practitioner from another department and a general internal medicine department case manager) to collect the data. The general practitioner was a medical graduate doctor, while the bed manager was not a medical college graduate. They observed 10 rounds over 10 non-consecutive days from July 1 to July 30, 2022. They recorded daily activities during the daily morning round, including time spent with patients, family conversations, bedside education, medication, social issues, and the time and distance required to move from patient to patient and from one location to location. The informal conversations about age, work history, and other small talk were recorded and converted into quantitative data. In each round, records were given to a statistician for rechecking. Subsequently, the records were imported into a Microsoft Excel spreadsheet for further statistical analysis. For continuous variables, the data were summarized as mean, median, and standard deviation. For categorical variables, the data were summarized as counts or proportions. Results On average, the duration of the daily morning round was 161.7 ± 17.3 minutes. The average number of patients seen by the general internal medicine round team was 14. The median patient encounter time per patient was 14 minutes (11-19 minutes), with an average of 12 minutes. An average of 8.6 employees participated in the 10-day rounds. The physician spent 41.2% of the time in direct contact with the patient during the morning round, 11.4% in maintaining electronic medical records, and 18.20% in bedside teaching. Additionally, 7.1% of the round time was spent because of interruptions by clinical and non-clinical staff other than team members or family members who were not in the room. Furthermore, a team member walked an average of 763 ± 54.5 m (667-872 m) per round, costing 35.7 minutes (22.1%) of the total round time. Conclusions The daily morning round time was significantly longer compared with the reported round times. Relocating patient beds to a common location reduced the rounding time by 22.30%. Disruption, teaching, and medical instruction must also be considered and shortened to reduce the morning round time.
ABSTRACT
Background Shortening the patient experience time (PET) in the emergency department (ED) improves patient quality and satisfaction and reduces mortality and morbidity. Worldwide, the PET target in the ED is ≤ 6 hours; however, the PET awaiting admission to inpatient Medicine at Hamad General Hospital (HGH) in the Qatar State, through ED is currently 15.3±6.4 (mean ± SD) hours. Aim Identify solutions to reduce the PET duration at HGH-ED to the international target. Method A cohort study was done using the Discrete-event simulation (DES) model, utilizing a commercial simulation software package (Process Model Inc., Utah, version 5.2.0). One-year data, January 1, 2019 - December 30, 2019, was analyzed and found to follow seven subprocesses. The duration of each subprocess was recorded, and the average time was calculated. A computer simulation scheme was developed for all the subprocesses of the actual PET duration. The simulated PET was validated, and scenarios were proposed and assessed for each subprocess separately and in combination, A constructed simulatory design using an iterative process involving a construction model. This model starts with the logical organization of submitted tasks based on their cycle times. A subject-matter expert interview was conducted to determine the appropriateness and frequency of actions. The duration of each activity in the considered process was defined using a triangular distribution. Results The actual PET duration for the Medical Department was 15.3±6.4 (mean + SD) hours. The three most prolonged PET subprocess durations were in the referral to internal medicine, the decision to admit, and finding a free bed; these represent 17.9%, 53.8%, and 16.7% of the PET, respectively. Adding two physicians to each shift, which shortens the subprocess of the decision to admit, reduced the PET duration by 27.5%. Moreover, creating a new admitting team (unit) that takes care of new patients admitted to the ED reduced PET duration by another 12.5%. Combining these two scenarios reduced the average PET duration to only 10.2±0.5 hours. In addition to these scenarios, the PET can be further decreased to six hours by increasing the number of inpatient beds. Conclusions The simulated scenarios indicated that restructuring the medical teams, adding two physicians to each shift, and creating an admissions team dedicated to the ED would reduce the total PET duration to 10.2 hours, Furthermore, PET's further reduction to six hours is predictable by increasing the bed number.
ABSTRACT
BACKGROUND: The Staff Medical Clinic (SMC) of the Hamad Medical Corporation (HMC) serves the staff members who require healthcare services, but in a crowded environment, the SMC can only meet 75% of that demand. Overcrowding reduces productivity and service quality and increases waiting time. Furthermore, overcrowding in healthcare facilities decreases the experience and satisfaction of patients and healthcare providers. AIM: The main objective of this study was to use simulation modeling to evaluate interventions that could improve SMC waiting time and efficiency. METHOD: Eighteen months of data on SMC patient flow, staffing, and clinical sessions were collected (January 2018 to June 2019). The patient's journey through the SMC was modeled as a series of processes with assigned durations defined mathematically using the appropriate probability distribution. A simulation flow model was developed considering the locations of the staff and nearby main hospital facilities. An intervention was proposed and evaluated through a simulation. The intervention involved redistributing 25% of the SMC staff into three main satellite clinics located at the facilities where most of the SMC patients came. Results: The proposed intervention decreased crowding by 37%, reduced staffing requirements by 28%, and increased the number of patient slots by 22%, resulting in a net increase in the number of patients served by an average of 1250 monthly, without the need for hiring new additional staffing. CONCLUSION: Redistribution of the available medical staff to three new satellite clinics reduces workload pressure at all sites and increases clinic capacity without additional costs.
ABSTRACT
Importance: The Delta variant is now the predominant circulating SARS-CoV-2 strain worldwide. Severity of illness in persons infected with the SARS-CoV-2 Delta variant compared with the Beta variant is not known. Objective: To directly compare clinical outcomes in persons infected with the SARS-CoV-2 Delta variant vs those infected with the Beta variant in Qatar. Design, Setting, and Participants: This retrospective cohort study used data from the national COVID-19 database in Qatar, which includes information on all individuals who were ever tested for SARS-CoV-2 using a reverse transcriptase-polymerase chain reaction test and all individuals who received any SARS-CoV-2 vaccine in Qatar. Among persons with confirmed SARS-CoV-2 infection between March 22 and July 7, 2021, those infected with the Delta variant were identified and were propensity score matched with control individuals infected with the Beta variant. The variants were ascertained by variant genotyping of the positive samples. Exposures: SARS-CoV-2 infection with the Delta or Beta variant. Main Outcomes and Measures: The main outcomes were admission to the hospital, admission to the intensive care unit, use of supplemental oxygen, use of high-flow oxygen, receipt of mechanical ventilation, or death among those infected with the Delta or Beta variant overall and stratified by vaccination status. Results: Among 1427 persons infected with the Delta variant (252 [55.9%] male; median age, 34 years [IQR, 17-43 years]) and 5353 persons infected with the Beta variant (233 [51.7%] male; median age, 34 years [IQR, 17-45 years]), 451 propensity score-matched pairs were identified. Persons infected with the Delta variant were more likely to be hospitalized (27.3% [95% CI, 23.2%-31.6%] vs 20.0% [95% CI, 16.4-24.0]; P = .01) or to have mild-moderate or severe-critical disease outcomes (27.9% [95% CI, 23.8%-32.3%] vs 20.2% [95% CI, 16.6%-24.2%]; P = .01) compared with persons infected with the Beta variant. Infection with the Delta variant was independently associated with higher odds of experiencing any adverse outcome (adjusted odds ratio [aOR], 2.53; 95% CI, 1.72-3.72). Compared with being unvaccinated, being vaccinated with a second dose more than 3 months before infection was associated with lower odds of any adverse outcome among persons infected with the Delta variant (aOR, 0.11; 95% CI, 0.04-0.26) and among those infected with the Beta variant (aOR, 0.22; 95% CI, 0.05-0.98). Protection was similar among those who received a second vaccine dose less than 3 months before infection, but having received only a single dose was not associated with a lower odds of any severe outcome among those infected with the Delta variant (aOR, 1.12; 95% CI, 0.41-3.06) or those infected with the Beta variant (aOR, 0.74; 95% CI, 0.20-2.72). Conclusions and Relevance: In this cohort study of persons with COVID-19 in Qatar, infection with the SARS-CoV-2 Delta variant was associated with more severe disease than was infection with the Beta variant. Being unvaccinated was associated with greater odds of severe-critical disease.
