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1.
Fam Med ; 53(4): 300-304, 2021 04.
Article in English | MEDLINE | ID: covidwho-1197754

ABSTRACT

BACKGROUND AND OBJECTIVES: The patient panels of graduating residents must be reassigned by the end of residency. This process affects over 1 million patients annually within the specialty of family medicine. The purpose of this project was to implement a structured, year-end reassignment system in a family medicine residency program. METHODS: Our structured reassignment process took place from December 2017 through June 2020. Panel lists of current, active patients were generated and residents were responsible for reassigning their own panels during a panel reassignment night. We created a tip sheet that addressed patient complexity and continuity, a risk stratification algorithm based on patients' medical and social complexity, and a tool that tracked the number of patients assigned to each future provider. Outcome measures included a resident satisfaction survey administered in 2018-2020 and patient-provider continuity measured with a run chart from December 2016 through August 2020. RESULTS: The resident survey response rate was 75%. Seventy-three percent felt the panel reassignment night was very helpful; 87% thought the reassignment timeline was extremely reasonable, and 87% indicated that they had the necessary information to reassign their patients. Residents also felt confident that their patients were reassigned appropriately (33% extremely confident, 67% somewhat confident). Patient continuity improved with a 13-point run above the median, indicating nonrandom variation. Patient continuity remained above the median until the impact of COVID-19 in April 2020. CONCLUSION: Our structured reassignment process was received positively by residents and resulted in improved patient continuity.


Subject(s)
Family Practice , Internship and Residency , Patient Handoff/organization & administration , Quality Improvement , Continuity of Patient Care , Humans , Risk Assessment
2.
Int J Qual Health Care ; 33(1)2021 Feb 20.
Article in English | MEDLINE | ID: covidwho-1059690

ABSTRACT

BACKGROUND: Transferring medical information among professionals and between shifts is a crucial process, allowing continuity of care and safety, especially for complex patients in life-threatening situations. This process, handover, requires focusing on specific, essential medical information while filtering out redundant and unnecessary details. OBJECTIVES: To create and implement a tool for handover that would be flexible enough to meet the unique needs of specific departments. METHODS: We used Plan-Do-Study-Act (PDSA) methodology to prospectively develop, implement, evaluate and reassess a new handover tool in a 900-bed teaching hospital in central Israel. Nurses from 35 departments participated in developing a tool that presents the staff's viewpoint regarding the most critical information needed for handover. RESULTS: A total of 78 nurse managers and 15 doctors (63.7%) completed the questionnaire. Based on exploratory factor analysis, 15 items explained 58.9% of the variance. Four key areas for handover were identified, in addition to basic patient identification: (i) updated clinical status, (ii) medical information, (iii) special clinical treatment and (iv) treatments not yet initiated. Subsequently, a Flexible Handover Structured Tool (FAST) was designed that identifies patients' needs and is flexible for the specific needs of departments. Revisions based on hands-on experience led to high nurse satisfaction with the new tool in most departments. The FAST format was adopted easily during the COVID-19 pandemic. CONCLUSION: Implementing a new handover tool-FAST-was challenging, but rewarding. Using PDSA methodology enabled continuous monitoring, oversight and adaptive corrections for better implementation of this new handover reporting tool.


Subject(s)
Interdisciplinary Communication , Patient Handoff/organization & administration , Humans , Israel , Program Development , Program Evaluation , Prospective Studies , Surveys and Questionnaires
3.
Emerg Med J ; 37(7): 407-410, 2020 07.
Article in English | MEDLINE | ID: covidwho-422200

ABSTRACT

The COVID-19 outbreak has posed unique challenges to the emergency department rostering. Additional infection control, the possibility of quarantine of staff and minimising contact among staff have significant impact on the work of doctors in the emergency department. Infection of a single healthcare worker may require quarantine of close contacts at work. This may thus affect a potentially large number of staff. As such, we developed an Outbreak Response Roster. This Outbreak Response Roster had fixed teams of doctors working in rotation, each team that staff the emergency department in turn. Members within teams remained constant and were near equally balanced in terms of manpower and seniority of doctors. Each team worked fixed 12 hours shifts with as no overlapping of staff or staggering of shifts. Handovers between shifts were kept as brief as possible. All these were measures to limit interactions among healthcare workers. With the implementation of the roster, measures were also taken to bolster the psychological wellness of healthcare workers. With face-to-face contact limited, we also had to maintain clear, open channels for communication through technology and continue educating residents through innovative means.


Subject(s)
Coronavirus Infections/therapy , Emergency Service, Hospital/organization & administration , Infectious Disease Transmission, Patient-to-Professional/prevention & control , Pneumonia, Viral/therapy , Betacoronavirus , Burnout, Professional/prevention & control , COVID-19 , Communication , Coronavirus Infections/prevention & control , Disease Outbreaks , Health Personnel/organization & administration , Health Personnel/psychology , Humans , Inservice Training/organization & administration , Pandemics/prevention & control , Patient Care Team/organization & administration , Patient Handoff/organization & administration , Pneumonia, Viral/prevention & control , SARS-CoV-2 , Singapore , Time Factors , Workflow
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