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1.
Urology ; 177: 89-94, 2023 07.
Article in English | MEDLINE | ID: mdl-37044312

ABSTRACT

OBJECTIVE: To maximize procedure volume and minimize workflow inefficiency in our urological procedure clinic, we hypothesized that for staff (nurses/medical assistants) and patient teams, team workflow duration (TWD) (the time required to complete team duties for a single appointment) could be reduced by 50% with a targeted workflow intervention developed using the Model for Improvement and Plan-Do-Study-Act cycles. Workflow inefficiency leads to wasted time and workplace dissatisfaction, resulting in lost revenue due to low procedure volume and high staff turnover. METHODS: A baseline time study was performed to measure TWD for clinical teams, including the front desk, physician, staff, and patient teams. Implementation of previously identified interventions was also recorded. A workflow intervention was developed in which staff duties were split among two roles: staffer and triager. TWD and intervention implementation were remeasured over six Plan-Do-Study-Act cycles. Semistructured interviews were conducted as a balance measure to assess impact on staff workflow and wellness. RESULTS: Our workflow intervention resulted in a 44% and 42% reduction in staff and patient TWD, saving nearly 17 minutes per appointment on average. Thematic analysis revealed that time saved could be best used to protect lunch breaks and allow time to complete nonclinical duties such as patient calls, which had previously been performed after-hours. CONCLUSION: Introduction of staffer and triager roles to staff workflow increased clinic efficiency by reducing workflow and procedure appointment duration. Time saved was used to increase procedure volume while also supporting staff wellness.


Subject(s)
Physicians , Urology , Humans , Workflow , Time Factors
2.
J Am Geriatr Soc ; 66(3): 452-458, 2018 03.
Article in English | MEDLINE | ID: mdl-29272029

ABSTRACT

BACKGROUND/OBJECTIVES: Telephone calls after discharge from the emergency department (ED) are increasingly used to reduce 30-day rates of return or readmission, but their effectiveness is not established. The objective was to determine whether a scripted telephone intervention by registered nurses from a hospital-based call center would decrease 30-day rates of return to the ED or hospital or of death. DESIGN: Randomized, controlled trial from 2013 to 2016. SETTING: Large, academic medical center in the southeast United States. PARTICIPANTS: Individuals aged 65 and older discharged from the ED were enrolled and randomized into intervention and control groups (N = 2,000). INTERVENTION: Intervention included a telephone call from a nurse using a scripted questionnaire to identify obstacles to elements of successful care transitions: medication acquisition, postdischarge instructions, and obtaining physician follow-up. Control subjects received a satisfaction survey only. MEASUREMENTS: Primary outcome was return to the ED, hospitalization, or death within 30 days of discharge from the ED. RESULTS: Rate of return to the ED or hospital or death within 30 days was 15.5% (95% confidence interval (CI) = 13.2-17.8%) in the intervention group and 15.2% (95% CI = 12.9-17.5%) in the control group (P = .86). Death was uncommon (intervention group, 0; control group, 5 (0.51%), 95% CI = 0.06-0.96%); 12.2% of intervention subjects (95% CI = 10.1-14.3%) and 12.5% of control subjects (95% CI = 10.4-14.6%) returned to the ED, and 9% of intervention subjects (95% CI = 7.2-10.8%) and 7.4% of control subjects (95% CI = 5.8-9.0%) were hospitalized within 30 days. CONCLUSION: A scripted telephone call from a trained nurse to an older adult after discharge from the ED did not reduce ED or hospital return rates or death within 30 days. Clinicaltrials.gov identifier: NCT01893931z.


Subject(s)
Continuity of Patient Care/organization & administration , Patient Discharge/statistics & numerical data , Patient Satisfaction/statistics & numerical data , Telephone , Aged , Aged, 80 and over , Emergency Service, Hospital , Female , Follow-Up Studies , Humans , Male , Middle Aged , Patient Compliance , Patient Readmission/statistics & numerical data , United States
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