Access to care for patients with time-sensitive conditions in Pennsylvania.

STUDY OBJECTIVE: Collective knowledge and coordination of vital interventions for time-sensitive conditions (ST-segment elevation myocardial infarction [STEMI], stroke, cardiac arrest, and septic shock) could contribute to a comprehensive statewide emergency care system, but little is known about population access to the resources required. We seek to describe existing clinical management strategies for time-sensitive conditions in Pennsylvania hospitals. METHODS: All Pennsylvania emergency departments (EDs) open in 2009 were surveyed about resource availability and practice patterns for time-sensitive conditions. The frequency with which EDs provided essential clinical bundles for each condition was assessed. Penalized maximum likelihood regressions were used to evaluate associations between ED characteristics and the presence of the 4 clinical bundles of care. We used geographic information science to calculate 60-minute ambulance access to the nearest facility with these clinical bundles. RESULTS: The percentage of EDs providing each of the 4 clinical bundles in 2009 ranged from 20% to 57% (stroke 20%, STEMI 32%, cardiac arrest 34%, sepsis 57%). For STEMI and stroke, presence of a board-certified/board-eligible emergency physician was significantly associated with presence of a clinical bundle. Only 8% of hospitals provided all 4 care bundles. However, 53% of the population was able to reach this minority of hospitals within 60 minutes. CONCLUSION: Reliably matching patient needs to ED resources in time-dependent illness is a critical component of a coordinated emergency care system. Population access to critical interventions for the time-dependent diseases discussed here is limited. A population-based planning approach and improved coordination of care could improve access to interventions for patients with time-sensitive conditions.

Willingness to pay for emergency referral transport in a developing setting: a geographically randomized study.

OBJECTIVES: The objective was to identify the correlates of willingness to pay for ambulance transports from a rural city to a regional hospital in Guatemala. METHODS: An innovative methodology that utilizes a novel randomization technique and satellite imagery was used to select a sample of homes in Santiago Atitlán, Guatemala. The respondents were surveyed at these homes about their willingness to pay for ambulance transport to a regional hospital. A price ladder was used to elicit respondents' willingness to pay for ambulance transport, depending on the level of severity of three types of emergencies: life-threatening emergencies, disability-causing emergencies, and simple emergencies. Simple and multiple linear regression modeling was used to identify the social and economic correlates of respondents' willingness to pay for ambulance transport and to predict demand for ambulance transport at a variety of price levels. Beta coefficients (ß) expressed as percentages with 95% confidence intervals (CIs) were estimated. RESULTS: The authors surveyed 134 respondents (response rate=3.3%). In the multivariable regression models, three variables correlated with willingness to pay: household income, location of residence (rural district vs. urban district), and respondents' education levels. Correlates for ambulance transport in life-threatening emergencies included greater household daily income (ß=1.32%, 95% CI=0.63% to 2.56%), rural location of residence (ß=-37.3%, 95% CI=-51.1% to -137.5%), and higher educational levels (ß=4.41%, 95% CI=1.00% to 6.36%). Correlates of willingness to pay in disability-causing emergencies included greater household daily income (ß=1.59%, 95% CI=0.81% to 3.19%) and rural location of residence (ß=-19.4%, 95% CI=-35.7% to -89.4%). Correlates of willingness to pay in simple emergencies included rural location of residence (ß=59.4%, 95% CI=37.9% to 133.7%) and higher educational levels (ß=7.96%, 95% CI=1.96% to 11.8%). At all price levels, more individuals were willing to pay for transport for a life-threatening emergency than a disability-causing emergency. Respondents' willingness to pay was more responsive to price changes for transport during disability-causing emergencies than for transport during life-threatening emergencies. CONCLUSIONS: The primary correlates of willingness to pay for ambulance transport in Santiago Atitlán, Guatemala, are household income, location of residence (rural district vs. urban district), and respondents' education levels. Furthermore, severity of emergency significantly appears to influence how much individuals are willing to pay for ambulance transport. Willingness-to-pay information may help public health planners in resource-poor settings develop price scales for health services and achieve economically efficient allocations of subsidies for referral ambulance transport.