Britt DW, Norton JD, Hubanks AS, Navidad SA, Perkins RJ, and Lowery CL
Telemedicine Journal And E-Health: The Official Journal Of The American Telemedicine Association [Telemed J E Health] 2006 Feb; Vol. 12 (1), pp. 35-41.
Female, Hospitals, University, Humans, Length of Stay, Pregnancy, Transportation of Patients, Pregnancy, High-Risk, and Telemedicine organization administration
The purpose was to examine the organizational impact of a state-wide high-risk pregnancy telemedical system, Antenatal and Neonatal Guidelines, Education and Learning System (ANGELS), after the first year of its roll out. The focus is on several aspects of system organization, including the volume and diversity of patient-based telemedical consultations and weekly telemedical case discussions, telephone consultations, and changes in the pattern of birth-related patient transports. Individual data on patient transports and associated hospital days, provider-specialist telephone calls, and telemedical consultations were collected for two time periods: December 2002-May 2003 (prior to initiation of ANGELS), and December 2003-May 2004 (postinitiation of ANGELS). Different statistical tests were constructed to compare the two periods as appropriate. Significant increases were observed in the volume and geographic diversity of telemedical consultations and the volume of telephone consultations. There was a moderate, but nonsignificant decrease in the number of maternal transports to University of Arkansas School of Medical Sciences (UAMS), and the average length of stay decreased. The type of specialist-provider and specialist-patient contact has changed as the ANGELS high-risk pregnancy telemedical system has evolved over the first year. We conclude that the rollout of the ANGELS program is changing the shape of high-risk patient care in Arkansas, and we attribute that to an evolving collegial network between specialists and generalists.
Journal Of Telemedicine And Telecare [J Telemed Telecare] 2006; Vol. 12 (5), pp. 242-5.
Arkansas, Delivery of Health Care statistics numerical data, Female, Health Services Needs and Demand economics, Health Services Needs and Demand standards, Humans, Pregnancy, Program Development methods, Program Development statistics numerical data, Telemedicine standards, Telemedicine statistics numerical data, Pregnancy, High-Risk, and Telemedicine organization administration
We investigated where telemedicine sites were placed in a telemedicine network to assist high-risk pregnancies in Arkansas. There were 14 telemedicine sites in 75 counties, excluding the central site in Pulaski county. Logistic regression was used to examine site placement. Five potential predictors of site placement were examined: (1) the logarithm of the number of births in the county (LOGBIRTHS); (2) an indicator of whether a county had an abnormal rate of low birthweight babies (HIGHLBW); (3) the proportion of the county population below the government's poverty level; (4) the ratio of black to white births; (5) an indicator of whether the county bordered the telemedicine hub site county. The results suggested that telemedicine sites were placed where there were more births (LOGBIRTHS, P = 0.001) and more low birthweight babies (HIGHLBW, P = 0.004). After controlling for these variables, the county poverty level did not reduce the likelihood of site placement. Thus telemedicine sites had been established in those areas where the need was great both in terms of immediate risk (rate of low birthweight babies) and in terms of the continuing pressure of large numbers of births. This is significant in view of the concentration of poor minorities in certain areas, which historically have not been matched by past distribution of resources.