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Absenteeism among clinical patients is a significant source of inefficiency in the modern American health care system. Routine absenteeism limits access to care for indigent patients, thus providing additional strain on the health care system and timely administration of care. This quality improvement project set out to quantify, understand, and potentially reduce patient absenteeism in our weekly plastic and reconstructive surgery resident indigent care clinic. One year prior to our study was retrospectively reviewed to determine a baseline rate of absenteeism (no shows). The daily and monthly no-show percentages were calculated. Then, three consecutive 2-month Plan, Do, Study, Act (PDSA) cycles were performed and data were recorded. The initial year analysis demonstrated an average no-show rate of 25%. The first PDSA cycle attempted to ascertain factors contributing to absenteeism and to get patients rescheduled. The rate of clinical absenteeism was 27% over this period compared with a rate of 18% in the control period. During this period, we discovered a limitation of our institution's electronic medical record (EMR). Rescheduled patients were removed from the original schedule and were not counted as a missed appointment even though the opportunity for care was missed. The second PDSA cycle attempted to collect raw data while trying to understand the EMR error and rescheduling process. During this period, there was a 33% no-show rate compared with 27% in the control period. The third PDSA cycle attempted again to establish factors contributing to clinical absenteeism with a better understanding of the limitations of our EMR. A 33% no-show rate during this cycle was recorded compared with 22% in the control period. After three PDSA cycles were completed, our clinic had an average no-show rate of 31% compared with 25% during the same months in the previous year. This project brought to realization that our data were initially skewed by our ignorance of an EMR flaw that did not track patients who either canceled or rescheduled their appointments. We also learned that there is a certain subset of patients who are not able to be contacted and who do not follow up.
Absenteeism among clinical patients is a significant source of inefficiency in the modern American health care system. Routine absenteeism limits access to care for indigent patients, thus providing additional strain on the health care system and timely administration of care. This quality improvement project set out to quantify, understand, and potentially reduce patient absenteeism in our weekly plastic and reconstructive surgery resident indigent care clinic. One year prior to our study was retrospectively reviewed to determine a baseline rate of absenteeism (no shows). The daily and monthly no-show percentages were calculated. Then, three consecutive 2-month Plan, Do, Study, Act (PDSA) cycles were performed and data were recorded. The initial year analysis demonstrated an average no-show rate of 25%. The first PDSA cycle attempted to ascertain factors contributing to absenteeism and to get patients rescheduled. The rate of clinical absenteeism was 27% over this period compared with a rate of 18% in the control period. During this period, we discovered a limitation of our institution's electronic medical record (EMR). Rescheduled patients were removed from the original schedule and were not counted as a missed appointment even though the opportunity for care was missed. The second PDSA cycle attempted to collect raw data while trying to understand the EMR error and rescheduling process. During this period, there was a 33% no-show rate compared with 27% in the control period. The third PDSA cycle attempted again to establish factors contributing to clinical absenteeism with a better understanding of the limitations of our EMR. A 33% no-show rate during this cycle was recorded compared with 22% in the control period. After three PDSA cycles were completed, our clinic had an average no-show rate of 31% compared with 25% during the same months in the previous year. This project brought to realization that our data were initially skewed by our ignorance of an EMR flaw that did not track patients who either canceled or rescheduled their appointments. We also learned that there is a certain subset of patients who are not able to be contacted and who do not follow up.
Introduction Clinic absenteeism promotes higher waiting lists for medical procedures and public resources waste. Objectives The present work aimed to identify the reasons for clinic absenteeism from each cycle of the antineoplastic chemotherapy treatment, as well as to determine the socio-demographic, clinical and treatment profiles of this population. Methods This observational prospective work evaluated pediatric and adult patients which missed their chemotherapy cycle between May and October 2023 in a Cancer Center located in Rio de Janeiro, Brazil. Clinic absenteeism rate was calculated, and socio-demographic profile was described. Reasons for absenteeism, treatment protocol and most used drugs were also identified. Results This work analyzed data from 69 patients, the majority above 60 years old. Approximately 60% were male, 33.3% had little to no education and 63.8% lived outside the center city. Absenteeism average monthly rate was 1.73% for adults and 0.87% for children. The most related non-attendance reasons were patient feeling too ill to attend their chemotherapy session, failure to remember the cycle day and lack of means of transportation. Most prevalent neoplasms were from the digestive tract (46%). Fluorouracil, irinotecan, oxaliplatin and gemcitabine were the most discarded drugs due to absenteeism. Conclusions Older patients and the ones residing far away from the Center tend to miss the scheduled chemotherapy cycles. However, most reasons for absenteeism could be avoided by confirmation calls or text messages. These procedures implementation could lead to a lower absenteeism rate and less resource waste.
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