Medicine and Health Sciences Commons^™

Is The Closest Facility The One Actually Used? An Assessment Of Travel Time Estimation Based On Mammography Facilities, Jennifer Alford-Teaster, Jane M. Lange, Rebecca A. Hubbard, Christoph I. Lee, Jennifer S. Haas, Xun Shi, Heather A. Carlos, Louise Henderson, Deirdre Hill, Anna N. A. Tosteson, Tracy Onega

Dartmouth Scholarship

Characterizing geographic access depends on a broad range of methods available to researchers and the healthcare context to which the method is applied. Globally, travel time is one frequently used measure of geographic access with known limitations associated with data availability. Specifically, due to lack of available utilization data, many travel time studies assume that patients use the closest facility. To examine this assumption, an example using mammography screening data, which is considered a geographically abundant health care service in the United States, is explored. This work makes an important methodological contribution to measuring access--which is a critical component of …

Assessing The Twinning Model In The Rwandan Human Resources For Health Program: Goal Setting, Satisfaction And Perceived Skill Transfer, Esperance Ndenga, Glorieuse Uwizeye, Dana R. Thomson, Eric Uwitonze, Joel Mubiligi, Bethany L. Hedt-Gauthier, Michael Wilkes, Agnes Binagwaho

Dartmouth Scholarship

Because of the shortage of health professionals, particularly in specialty areas, Rwanda initiated the Human Resources for Health (HRH) Program. In this program, faculty from United States teaching institutions (USF) "twin" with Rwandan Faculty (RF) to transfer skills. This paper assesses the twinning model, exploring USF and RF goal setting, satisfaction and perceptions of the effectiveness of skill transfer within the twinning model.

Assessing Differences Between Early And Later Adopters Of Accountable Care Organizations Using Taxonomic Analysis, Frances M. Wu, Stephen M. Shortell, Valerie A. Lewis, Carrie H. Colla, Elliott S. Fisher

Dartmouth Scholarship

Objective. To compare early and later adopters of the accountable care organization (ACO) model, using the taxonomy of larger, integrated system; smaller, physician-led; and hybrid ACOs. Data sources. The National Survey of ACOs, Waves 1 and 2.

Studydesign. Clusteranalysisusingthetwo-stepclusteringapproach,validatedusing discriminant analysis. Wave 2 data analyzed separately to assess differences from Wave 1 and then data pooled across waves. Findings. Compared to early ACOs, later adopter ACOs included a greater breadth of provider group types and a greater proportion self-reported as integrated delivery systems. When data from the two time periods were combined, a three-cluster solution similar to the original cluster …