RESUMEN
OBJECTIVE/HYPOTHESIS: To appraise the utility of a novel EMR-based checklist for complex head and neck microvascular free-tissue reconstruction. STUDY DESIGN: A prospectively collected retrospective matched cohort study from a single tertiary care academic institution. METHODS: A retrospective matched cohort study from an academic tertiary care center with 76 total patients analyzed for disease-specific and quality outcomes before and after implementation of an EMR-based checklist tailored to complex head and neck care. The intervention group consisted of 38 consecutive patients undergoing microvascular free tissue reconstruction after implementation of the EMR-based checklist strategy. A historic cohort of 38 patients was derived by matching patients meticulously for disease-specific and surgical characteristics. Primary outcomes included post-operative medical and surgical complications, intensive care requirements, 30-day reoperation rates, hospital length of stay, and completion of preoperative metastatic evaluations. Secondary outcomes included patterns of antibiotic administration, ultimate discharge dispositions, flap survival, and recognition of preoperative hypothyroidism in previously radiated patients. RESULTS: Implementation of the perioperative checklist yielded an overall reduction in major medical complications (10.5% vs. 29.0%, P < .05*), post-operative antibiotic administration (17.4% vs. 44.7%, P < .05*), hospital length of stay (median (IQR) days 6 (1) versus 7 (3.25), P < .05*), and improved metastatic evaluation completion (92.1% vs. 63.2%, P < .05*). There was an improved discharge disposition (92.1% vs. 73.7%, P < .05*). No difference was observed in major wound complications (50.0% vs. 57.9%, P = .49), 30-day re-operation rates (31.5% vs. 34.2%, P = .81), 30-day readmission rates (21.1% vs. 21.1%, P > .99), escalations to intensive-care (13.2% vs. 21.1%, P = .36), or flap survival (97.4% vs. 89.5%, P = .17). CONCLUSIONS: Use of our EMR-based perioperative checklist reduced major medical complications, post-operative antibiotic administration, hospital length of stay, and improved discharge outcomes for patients undergoing microvascular free-tissue reconstruction. LEVEL OF EVIDENCE: 3 Laryngoscope, 131:E2251-E2256, 2021.
Asunto(s)
Lista de Verificación/normas , Neoplasias de Cabeza y Cuello/cirugía , Microvasos/cirugía , Atención Perioperativa/normas , Procedimientos de Cirugía Plástica/normas , Adulto , Registros Electrónicos de Salud , Femenino , Colgajos Tisulares Libres , Cabeza/cirugía , Implementación de Plan de Salud , Humanos , Tiempo de Internación/estadística & datos numéricos , Masculino , Persona de Mediana Edad , Cuello/cirugía , Alta del Paciente/estadística & datos numéricos , Readmisión del Paciente/estadística & datos numéricos , Atención Perioperativa/métodos , Estudios Prospectivos , Mejoramiento de la Calidad , Procedimientos de Cirugía Plástica/métodos , Reoperación/estadística & datos numéricos , Estudios Retrospectivos , Resultado del TratamientoRESUMEN
OBJECTIVE: Electronic cigarettes (e-cigs) are an emerging trend, yet little is known about their use in the cancer population. The objectives of this study were (1) to describe characteristics of e-cig use among cancer patients, (2) to define e-cig advertising exposure, and (3) to characterize perceptions of traditional cigarettes versus e-cigs. STUDY DESIGN: Cross-sectional study. SETTING: Comprehensive cancer center. SUBJECTS AND METHODS: Inpatient, current smokers with a cancer diagnosis. E-cig exposure and use were defined using descriptive statistics. Wilcoxon rank test was used to compare perceptions between e-cigs and traditional cigarettes. RESULTS: A total of 979 patients were enrolled in the study; 39 cancer patients were identified. Most cancer patients were women (59%), with an average age of 53.3 years. Of the patients, 46.2% reported e-cig use, most of which (88.9%) was "experimental or occasional." The primary reason for e-cig use was to aid smoking cessation (66.7%), alternative use in nonsmoking areas (22.2%), and "less risky" cigarette replacement (5.6%). The most common sources for e-cig information were TV (76.9%), stores (48.7%), friends (35.9%), family (30.8%), and newspapers or magazines (12.8%). Compared with cigarettes, e-cigs were viewed as posing a reduced health risk (P < .001) and conferring a less negative social impression (P < .001). They were also viewed as less likely to satisfy nicotine cravings (P = .002), to relieve boredom (P = .0005), to have a calming effect (P < .001), and as tasting pleasant (P = .006). CONCLUSIONS: E-cig use and advertising exposure are common among cancer patients. E-cig use is perceived as healthier and more socially acceptable but less likely to produce a number of desired consequences of cigarette use.