PubMed Health⌕ Search

Biomedical subjects

Rollin J Fairbanks

Publications and source records attributed to Rollin J Fairbanks.

11 recordsLinked to original sources
PubMed2006

Epidemiology and outcomes of out-of-hospital cardiac arrest in Rochester, New York.

OBJECTIVE: To characterize out-of-hospital cardiac arrest (OHCA) and factors that affect survival in a medium sized city that uses system status management for dispatch. METHODS: A retrospective cohort study of all adult OHCA patients treated by EMS between 1998 and 2001 was conducted using Utstein definitions. The primary endpoint was 1-year survival. RESULTS: Of the 1177 patients who experienced OHCA during the study period, 539 (46%) met inclusion criteria. Age ranged from 18 to 98 years (median 67). The median call-response interval was 5 min (range 0-21), and 93% were 9 min or less. There was no significant difference in the median call-response intervals between call location zip (Post) codes (p=0.07). Twenty percent of experienced ROSC (95% CI 17-23), 7% survived more than 30 days (95% CI 5-9%), and 5% survived to 1 year (95% CI 3-7%). In bivariate analysis, first rhythm and bystander CPR affected survival to 1 year. There was no significant difference in survival between male (4%) and female (7%), black (4%) and white (6%), or witnessed (7%) and unwitnessed arrest (4%). Logistic regression identified younger age, CPR initiated by bystander (19%) or first responder (41%), and presenting rhythm of VF/VT (32%) as factors associated with survival to 1 year. CONCLUSIONS: This study finds a 5% survival to 1 year among OHCA patients in Rochester, NY. A presenting rhythm of VF/VT and bystander CPR were associated with increased survival.

Adolescent↗
PubMed2006

Cardiac arrests in skilled nursing facilities: continuing room for improvement?

OBJECTIVES: To characterize the care received by skilled nursing facility (SNF/NF) patients suffering cardiac arrest and to evaluate the outcome of SNF/NF patients experiencing cardiac arrest. DESIGN: A retrospective analysis of an existing cardiac arrest registry to characterize SNF/NF cardiac arrest patients and to compare them to community-dwelling cardiac arrest patients was performed. SETTING: The study took place in Rochester, NY, an urban city in upstate New York with approximately 220,000 residents. PARTICIPANTS: All patients for whom emergency medical services (EMS) assistance was requested via the 911 system and who were treated for cardiac arrest between January 1998 and December 2001 were included. MEASUREMENTS: Demographic characteristics such as age, gender, race; clinical characteristics and interventions such as cardiopulmonary resuscitation (CPR), defibrillation, initial cardiac rhythm, and call response interval; outcomes measures such as return of spontaneous circulation and 1-year survival were obtained. RESULTS: Forty-two (8%) of cardiac arrest patients resided in an SNF/NF. Sixteen (38%) of the events were witnessed arrests. Only 28 (67%) patients received CPR and none were defibrillated prior to EMS arrival. One (2%) patient was alive 1 year after the event, a survival rate similar to the community-dwelling population (5%). CONCLUSION: SNF/NF patients suffering cardiac arrest often did not receive CPR or defibrillation while awaiting EMS arrival. SNF/NF patients suffering cardiac arrest have a very low survival rate, similar to the community-dwelling population. The impact of not providing CPR and defibrillation on the survival rate is unclear, but needs to be evaluated prior to any decisions regarding the medical futility of resuscitating SNF/NF patients.

Aged↗
PubMed2006

An emergency medical services program to promote the health of older adults.

OBJECTIVES: To evaluate the feasibility and effect of an emergency medical services (EMS) program that screened, educated, and referred older adults with unmet needs. DESIGN: A cluster sample design evaluation of an intervention conducted by EMS in one of two communities. SETTING: Two rural communities in upstate New York. PARTICIPANTS: Two hundred fifty-eight intervention-group and 143 control-group community-dwelling older adults receiving emergency care from participating EMS agencies between February 2004 and June 2005. INTERVENTION: EMS providers screened intervention group patients to identify those at risk for falls, influenza, and pneumococcal infections and provided patients educational materials. Patients' physicians were notified of screening results to provide interventions. Control group patients were provided usual care. MEASUREMENTS: Variables included patient demographic and clinical characteristics, the proportion of eligible patients screened, patient risk during EMS care and 14 days later, and patient recollection of receiving educational materials and conversations with physicians regarding needs. RESULTS: Follow-up was successful in 245 (61%) patients. Approximately 80% of intervention-group patients were successfully screened for each item. No differences were identified for characteristics collected at the time of EMS care, but a notable number of patients were at risk for each item. No differences existed between the control or intervention group for process measures such as recollection of receiving educational materials. For outcome measures, only an improvement in pneumococcal vaccination levels was found. CONCLUSION: EMS screening of older adults during emergency responses is feasible, but a simple intervention of providing educational materials to patients during emergency responses and faxing notifications to physicians appears insufficient to address patients' needs.

Aged↗
PubMed2005

Description and evaluation of a pilot physician-directed emergency medical services diversion control program.

OBJECTIVES: To describe the characteristics and feasibility of a physician-directed ambulance destination-control program to reduce emergency department (ED) overcrowding, as measured by hospital ambulance diversion hours. METHODS: This controlled trial took place in Rochester, New York and included a university hospital and a university-affiliated community hospital. During July 2003, emergency medical services (EMS) providers were asked to call an EMS destination-control physician for patients requesting transport to either hospital. The destination-control physician determined the optimal patient destination by using patient and system variables as well as EMS providers' and patients' input. Program process measures were evaluated to characterize the program. Administrative data were reviewed to compare system characteristics between the intervention program month and a control month. RESULTS: During the intervention month, 2,708 patients were transported to the participating hospitals. EMS providers contacted the destination-control physician for 1,866 (69%) patients. The original destination was changed for 253 (14%) patients. Reasons for redirecting patients included system needs, patient needs, physician affiliation, recent ED or hospital care, patient wishes, and primary care physician wishes. During the intervention month, EMS diversion decreased 190 (41%) hours at the university hospital and 62 (61%) hours at the community hospital, as compared with the control month. CONCLUSIONS: A voluntary, physician-directed destination-control program that directs EMS units to the ED most able to provide appropriate and timely care is feasible. Patients were redirected to maximize continuity of care and optimally use available emergency health care resources. This type of program may be effective in reducing overcrowding.

Ambulances↗
PubMed2005

Identification of out-of-hospital cardiac arrest clusters using a geographic information system.

OBJECTIVES: To locate all out-of-hospital cardiac arrests (OHCAs) in Rochester, New York, and identify clusters of OHCAs, as well as clusters of patients who did not receive bystander cardiopulmonary resuscitation (CPR), in order to identify locations that may benefit from prevention efforts. METHODS: The locations of all adult OHCAs of cardiac etiology occurring in the study city over a four-year period were plotted on a map using ArcGIS. Location information was obtained from the emergency medical services (EMS) medical record and included street address and zip code. Descriptive data related to patient treatment and transport were also abstracted. Kernel analysis was used to identify areas with the highest density of OHCAs. Census-defined block groups were used to calculate OHCA incidence in order to determine the effect of population density. Patients with OHCAs who did not receive bystander CPR were selected and kernel analysis was repeated to identify areas with the highest density of no bystander CPR. RESULTS: A total of 537 OHCAs that met the inclusion criteria occurred during the study period. Ninety-four percent had sufficient location information to be plotted. Two clusters of OHCAs were identified. One cluster covered two block groups that were found to have the highest incidence of OHCA in the city (incidence: 142 [95% CI = 42 to 241] and 105 [95% CI = 35 to 175] per 10,000 people). EMS providers or first responders started CPR (i.e., no bystander CPR) for 80% of patients. Kernel analysis revealed three areas with a high density of no bystander CPR; these areas coincided with the OHCA cluster sites. Cluster communities were found to have a lower median household income and a larger percentage of people living below the poverty level, to have more residents of African American race, and to have more residents without a high school diploma compared with the city's population in general. CONCLUSIONS: Out-of-hospital cardiac arrest can be plotted by geographic location. Clusters of OHCAs can be identified, which could be used to guide resource allocation. Clusters of OHCAs in which the patients did not receive bystander CPR can also be identified and could be used to direct educational programs. Census data can be superimposed on this information to identify characteristics of cluster locations and were used to demonstrate that the identified clusters were not simply the result of population density.

Cardiopulmonary Resuscitation↗
PubMed2005

Profiles in patient safety: misplaced femoral line guidewire and multiple failures to detect the foreign body on chest radiography.

This article uses a case report and discussion to demonstrate the concept of active and latent failures, and the "systems approach" to the reduction of adverse events in medicine. The case involves an inadvertently misplaced and retained guidewire during femoral vein catheterization using the Seldinger technique, and the subsequent failure to identify the guidewire in the chest despite several chest radiographs and a computed tomography (CT) scan read by radiologists, emergency physicians, and intensivists. This event reveals active failures in the performance of the Seldinger technique, latent failures in the design of the catheter kit, and problems with the current system of interpretation of radiographs. The authors conclude that the design of the catheter kit and the Seldinger technique should be critically examined from a human factors standpoint and that radiographic interpretation is still heavily subject to human error.

Adult↗
PubMed2004

Poor interface design and lack of usability testing facilitate medical error.

BACKGROUND: A fictional scenario based on a compilation of several real events describes seven medical errors that at first appear to be caused by the paramedics and nurses involved. HUMAN FACTORS ENGINEERING (HFE) ANALYSIS: An emergency medical services paramedic attempted to use a debrillator on a 67-year-old man with ventricular tachycardia Yet nothing happened. The defibrillator displayed an indication that it was in synchronized mode but provided no feedback to tell the user that it was not prepared to shock because of low QRS amplitude. USABILITY TESTING: A hands-on approach to discovering the difficulties and potential for error that people encounter when trying to use a product, usability testing can help to create medical devices and systems that are not only more "user friendly" and efficient-but safer. RECOMMENDATIONS: Recommendations are presented to enable health care leaders to apply human factors considerations in their product evaluation and purchasing decisions. Medical device manufacturers should involve human factors engineers in the design process from the outset and should perform usability testing. Health care organizations should expect an optimized and tested user interface in the medical devices they purchase. SUMMARY: Many adverse events in medicine are the result of poor interface design rather than human error. The HFE concepts of usability and standardization are critical to patient safety.

Aged↗
PubMed2004

Emergency department digital radiology: moving from photos to pixels.

Emergency department (ED) patient care relies heavily on radiologic imaging. As advances in technologic innovation continue to present opportunities to streamline and simplify the delivery of care, emergency medicine (EM) practitioners face the challenge of transitioning from a system of primarily film-based radiography to one that utilizes digitized images. The move to digital radiology can result in enhanced quality of patient care, reduction of errors, and increased ED efficiency; however, making this transition will necessarily involve changes in EM practice. As the technology evolves, digital radiology will gradually become ingrained into everyday practice because of these and other notable benefits; however, EM practitioners will need to overcome several challenges to make the transition smoothly and consider the potential impacts that this change will have on ED workflow. The authors discuss the benefits, challenges, and other operational considerations involved with the ED implementation of digital radiology and close by presenting guiding principles for current and future users. Despite the unresolved issues, digital radiology will mature as a technology and improve EM practice, making it one of the great information technology advances in EM.

Diagnostic Imaging↗
PubMedDate not supplied

Validation of using EMS dispatch codes to identify low-acuity patients.

OBJECTIVE: To validate the predictive ability of previously derived emergency medical services (EMS) dispatch codes to identify patients with low-acuity illnesses. METHODS: This prospective descriptive study was conducted in Rochester, New York. An expert panel reviewed and modified a previously derived set of low-priority EMS dispatch codes. Patients assigned these 21 codes between July 2002 and June 2003 were included for further analysis. Dispatch data and level of EMS care were recorded for each dispatch code. The proportion of low-acuity patients (i.e., those who received only basic life support (BLS) care or those who were not transported using lights and sirens) was determined using previously established definitions. Codes were defined as associated with low-acuity patients if the lower bound of the 95% confidence interval (CI) exceeded 90%. Medical records for patients identified as high-acuity were reviewed to evaluate whether the advanced life support (ALS) level care that was provided had a clinical impact. RESULTS: Emergency medical services cared for 43,602 patients during the study, and 7,540 were dispatched as low-priority. We found that 7,197 (95%; 95% CI: 95-96%) of these patients met low-acuity criteria and that 11 of the evaluated codes were validated, with low-acuity care provided at least 90% of the time. Of the 343 patients identified as high-acuity, 62 (18%; 95% CI: 14-23%) were determined to have received interventions that had a clinical impact. CONCLUSIONS: This study prospectively validates 11 EMS dispatch codes as being associated with low-acuity patients. These codes could be used to triage EMS patients based on dispatch information.

Acute Disease↗
PubMedDate not supplied

Medical error and human factors engineering: where are we now?

The goal of human factors engineering is to optimize the relationship between humans and systems by studying human behavior, abilities, and limitations and using this knowledge to design systems for safe and effective human use. With the assumption that the human component of any system will inevitably produce errors, human factors engineers design systems and human/machine interfaces that are robust enough to reduce error rates and the effect of the inevitable error within the system. In this article, we review the extent and nature of medical error and then discuss human factors engineering tools that have potential applicability. These tools include taxonomies of human and system error and error data collection and analysis methods. Finally, we describe studies that have examined medical error, and on the basis of these studies, present conclusions about how human factors engineering can significantly reduce medical errors and their effects.

Ergonomics↗