Find Established Evidence

Displaying records 1 through 4 (4 total).

Bronstein JM, Ounpraseuth S, Jonkman J, et al. Improving perinatal regionalization for preterm deliveries in a Medicaid covered population: initial impact of the Arkansas ANGELS intervention. Health Serv Res. 2011;46(4):1082-1103.

Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3165179/

NPM: 3: Perinatal Regionalization
Intervention Components (click on component to see a list of all articles that use that intervention): PATIENT/CONSUMER, Access to Provider through Hotline, HOSPITAL, Continuing Education of Hospital Providers, POPULATION-BASED SYSTEMS, INTER-HOSPITAL SYSTEMS, Maternal/In-Utero Transport Systems, Consultation Systems, Telemedicine Systems, STATE, Policy/Guideline (State)

Intervention Results:

Any hospital with NICU:

Although the change in percent of infants <35 weeks GA delivered at any hospital with NICU was statistically significant (p<0.01), the early increases in delivery seen in these hospitals after intervention in 2003 were lost after further follow-up. Over the study period, the percent of infants <35 weeks GA delivered at any hospital with NICU increased from 37.7% before intervention to a high of 44.1% in the year after intervention then subsequently decreased to 39.1% by then end of the follow-up period.
No ANGELS intervention components were statistically significantly associated with delivery at any NICU hospital (p>0.05).

UAMS (tertiary center):

Although the change in percent of infants <35 weeks GA delivered at UAMS was statistically significant (p<0.001), the early gains seen in percent delivered in the tertiary center appeared to be lost after further follow-up. Over the study period, the percent of infants <35 weeks GA delivered at UAMS tertiary center increased from 20.6% before intervention to a high of 27.3% in in the year after intervention then subsequently decreased to 19.6% by the end of the follow-up period.
Women living in counties with hospitals that participated in teleconferences on high-risk obstetrics with University of Arkansas for Medical Science (UAMS; an ANGELS program component) were more likely to deliver at UAMS (odds ratio (OR): 1.64, 95%; CI: 1.17 to 2.30; p=0.004). No other ANGELS program component was statistically significantly associated with an increased likelihood of delivery at UAMS (p>0.05).

Hall RW, Hall-Barrow J, Garcia-Rill E. Neonatal regionalization through telemedicine using a community-based research and education core facility. Ethn Dis. 2010;20(1 0 1):S1-136-140.

Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323108/

Intervention Results:

All LBW:

After the intervention, the case mix-adjusted probability of UAMS tertiary center delivery increased by 7.2% (p<0.05) among all LBW infants.
After the intervention, the percentage of non-NICU hospital births among all LBW births was over 50% and was not significantly different than before intervention (p-value not indicated).
Among all LBW infants, there was little change in birth location distribution after intervention. The percentage born in community hospitals with NICU decreased slightly from 30.1% to 28.8%. The percentage born in UAMS tertiary center was around 18% both before and after the intervention. The authors do not comment on statistical significance of these results.

ELBW:

Among all ELBW infants, there was little change in the birth location distribution. Of all ELBW infants, about 42% were born at UAMS tertiary center both before and after intervention. The percentage born in community hospitals with NICU decreased slightly from 35.3% to 30.7%. Data was not presented for births in non-NICU hospitals. The authors do not comment on statistical significance of these results.

ELBW subgroup:

After intervention, the case mix-adjusted probability of UAMS tertiary center delivery increased from 27.6% to 34.5% (p<0.01) among ELBW births to mothers residing more than 80 miles from UAMS.
Among ELBW infants born to mothers residing more than 80 miles from UAMS, there were some changes in birth location distribution. Of these infants, the percentage born in UAMS tertiary center increased from 40.7% to 46.8% after intervention. The percentage born in community hospital with NICU decreased from 26.8% to 17.5%. However, the percentage of non-NICU hospital births among this group increased from 32.5% to 35.7%. The authors do not comment on the statistical significance of these results.

Kim EW, Teague-Ross TJ, Greenfield WW, Keith Williams D, Kuo D, Hall RW. Telemedicine collaboration improves perinatal regionalization and lowers statewide infant mortality. J Perinatol. 2013;33(9):725-730.

Link: https://www.ncbi.nlm.nih.gov/pubmed/23579490

NPM: 3: Perinatal Regionalization
Intervention Components (click on component to see a list of all articles that use that intervention): Transition Assistance, PATIENT/CONSUMER, HOSPITAL, Continuing Education of Hospital Providers, POPULATION-BASED SYSTEMS, INTER-HOSPITAL SYSTEMS, Neonatal Back-Transport Systems, Consultation Systems, Telemedicine Systems

Intervention Results:

Among all VLBW births, there was a change in the birth location distribution. Of these infants, the percentage born in non-NICU hospitals with telemedicine intervention (targeted hospitals) statistically significantly decreased from 13.05% to 7.03% (p=0.0099).
Changes in other hospital levels (including UAMS tertiary center) were not statistically significant.

Nowakowski, L., Barfield, W. D., Kroelinger, C. D., Lauver, C. B., Lawler, M. H., White, V. A., & Ramos, L. R. (2012). Assessment of state measures of risk-appropriate care for very low birth weight infants and recommendations for enhancing regionalized state systems. Maternal and child health journal, 16(1), 217-227.

Link: https://doi.org/10.1007/s10995-010-0721-5

NPM: 3: Perinatal Regionalization
Intervention Components (click on component to see a list of all articles that use that intervention): STATE, Policy/Guideline (State), Funding Support, POPULATION-BASED SYSTEMS, Telemedicine Systems, PATIENT/CONSUMER, Educational Material

Intervention Results:

Regulation of regionalization programs, data surveillance, review of adverse events, and consideration of geography and demographics were identified as mechanisms facilitating better measurement of risk-appropriate care. Antenatal or neonatal transfer arrangements, telemedicine networks, acquisition of funding, provision of financial incentives, and patient education comprised state actions for improving risk-appropriate care.