RESUMEN

OBJECTIVES: The purpose of this evidence-based review is to identify and describe the interventions that have been implemented to reduce waiting times for major elective surgery. METHODS: Scoping review and presentation of the results according to the SUPPORT tools. We searched MEDLINE/PubMed, Embase, Cochrane Library, SciELO, DARE-HTA, and Google Scholar. The inclusion criteria for research design were comprehensive. RESULTS: We identified 5200 records. After eliminating duplicates and screening by title and abstract, 171 records remained for full-text assessment, of which 12 were ultimately included for this review because they reported specific interventions and 96 records were included for further reference. The included studies show significant variability regarding elective procedures, population, and type of provider, as well as in the characteristics of the interventions and the settings. All the studies had methodological limitations. We graded the certainty of the evidence as very low. CONCLUSIONS: According to the evidence found for this review, interventions most likely should be multidimensional, with prioritization strategies on the waiting lists to incorporate equity criteria, together with quality management improvements of the surgical pathways and the use of operating rooms, as well as improvements in the planning of the surgical schedule.

Asunto(s)

Procedimientos Quirúrgicos Electivos , Política Organizacional , Listas de Espera , Eficiencia Organizacional/normas , Humanos , Mejoramiento de la Calidad

RESUMEN

At US-Mexico border Ports of Entry, vehicles idle for long times waiting to cross northbound into the US. Long wait times at the border have mainly been studied as an economic issue, however, exposures to emissions from idling vehicles can also present an exposure risk. Here we present the first data on in-vehicle exposures to driver and passengers crossing the US-Mexico border at the San Ysidro, California Port of Entry (SYPOE). Participants were recruited who regularly commuted across the border in either direction and told to drive a scripted route between two border universities, one in the US and one in Mexico. Instruments were placed in participants' cars prior to commute to monitor-1-minute average levels of the traffic pollutants ultrafine particles (UFP), black carbon (BC) and carbon monoxide (CO) in the breathing zone of drivers and passengers. Location was determined by a GPS monitor. Results reported here are for 68 northbound participant trips. The highest median levels of in-vehicle UFP were recorded during the wait to cross at the SYPOE (median 29,692particles/cm3) significantly higher than the portion of the commute in the US (median 20,508particles/cm3) though not that portion in Mexico (median 22, 191particles/cm3). In-vehicle BC levels at the border were significantly lower than in other parts of the commute. Our results indicate that waiting in line at the SYPOE contributes a median 62.5% (range 15.5%-86.0%) of a cross-border commuter's exposure to UFP and a median 44.5% (range (10.6-79.7%) of exposure to BC inside the vehicle while traveling in the northbound direction. Reducing border wait time can significantly reduce in-vehicle exposures to toxic air pollutants such as UFP and BC, and these preventable exposures can be considered an environmental justice issue.

Asunto(s)

Contaminación del Aire/análisis , Emisiones de Vehículos/análisis , Contaminantes Atmosféricos , California , Exposición a Riesgos Ambientales , Monitoreo del Ambiente , Humanos , México , Material Particulado

RESUMEN

INTRODUCTION: Radiofrequency ablation (RFA) is a recommended curative intent treatment option for patients with early stage hepatocellular carcinoma (HCC). We investigated if wait times for RFA were associated with residual tumor, tumor recurrence, need for liver transplantation, or death. MATERIAL AND METHODS: We conducted a retrospective study of patients diagnosed with HCC between January 2010 and December 2013 presenting to University Health Network (UHN) in Toronto, Canada. All patients receiving curative intent RFA for HCC were included. Multivariable Cox regression was used to determine if wait times were associated with clinical outcomes. RESULTS: 219 patients were included in the study. 72.6% were male and the median age was 62.7 years (IQR 55.6-71). Median tumor size at diagnosis was 21.5 mm (IQR 17-26); median MELD was 8.7 (IQR 7.2-11.4) and 57.1% were Barcelona stage 0. The cause of liver disease was viral hepatitis in 73.5% (Hepatitis B and C). The median time from HCC diagnosis to RFA treatment was 96 days (IQR 75-139). In multivariate analysis, wait time was not associated with requiring liver transplant or tumor recurrence, however, each incremental 30-day wait time was associated with an increased risk of residual tumor (HR = 1.09; 95% CI 1.01-1.19; p = 0.033) as well as death (HR = 1.23; 95% CI 1.11-1.36; p ≤ 0.001). CONCLUSION: Incremental 30-day wait times are associated with a 9% increased risk of residual tumor and a 23% increased risk of death. We have identified system gaps where quality improvement measures can be implemented to reduce wait times and allocate resources for future RFA treatment, which may improve both quality and efficiency of HCC care.

Asunto(s)

Carcinoma Hepatocelular/cirugía , Ablación por Catéter/mortalidad , Neoplasias Hepáticas/cirugía , Tiempo de Tratamiento , Listas de Espera/mortalidad , Anciano , Carcinoma Hepatocelular/mortalidad , Carcinoma Hepatocelular/patología , Ablación por Catéter/efectos adversos , Distribución de Chi-Cuadrado , Femenino , Humanos , Estimación de Kaplan-Meier , Neoplasias Hepáticas/mortalidad , Neoplasias Hepáticas/patología , Masculino , Persona de Mediana Edad , Análisis Multivariante , Estadificación de Neoplasias , Ontario , Modelos de Riesgos Proporcionales , Mejoramiento de la Calidad , Indicadores de Calidad de la Atención de Salud , Estudios Retrospectivos , Factores de Riesgo , Factores de Tiempo

RESUMEN

Objective: To provide a comprehensive transnational overview of wait times for epilepsy surgery in Canada and Mexico. Methods: We reviewed all cases referred for epilepsy surgery between 2007 and 2015 at the Saskatchewan Epilepsy Program Royal University Hospital (SEP) (n = 70; Saskatoon, Canada) and the National Institute of Neurology and Neurosurgery (NINN) (n = 76; Mexico City, Mexico) and compared wait times, calculated as the time from diagnosis of epilepsy on assessment at an epilepsy center to epilepsy surgery. Results: Mean wait times were similar across centers. Mean patient age was 37.4 ± 9 years (NINN) and 36.7 ± 13.2 years (SEP). The mean time from epilepsy diagnosis to referral was 18.9 (NINN) and 16.9 years (SEP), p = 0.30; first consult with the epileptologist, 19.7 (NINN) and 17.4 years (p = 0.23); neuropsychology consult, 21.4 (NINN) and 17.9 years (SEP); video electroencephalogram (video-EEG) telemetry, 21.1 (NINN) and 18.6 months (SEP); initial neurosurgical consult, 21.9 (NINN) and 19.1 years (SEP) (p = 0.35); and epilepsy surgery, 19.7 (NINN) and 19.6 years (SEP) (p = 0.29). Significance: This is the first study to compare wait times between Canada and Mexico. Despite disparity in their health delivery systems and financial resources, surgical wait times appeared to be protracted in both nations, confirming that delayed treatment is a universal problem that requires collaborative scrutiny.