TRUSERVE: USING INFORMATION TECHNOLOGY TO DEMONSTRATE THE IMPACT OF RURAL HEALTH CARE ORGANIZATIONS

2014 ◽  
Vol 16 (1) ◽  
pp. 19-26
Author(s):  
Kelly Quigley ◽  
Mark Barclay ◽  
Kristine Morin
2014 ◽  
Vol 12 (4) ◽  
pp. 461-470 ◽  
Author(s):  
Eric J. Belasco ◽  
Gordon Gong ◽  
Barbara Pence ◽  
Ethan Wilkes

1992 ◽  
Vol 17 (3) ◽  
pp. 63-80
Author(s):  
Howard L. Smith ◽  
Neill F. Piland ◽  
Michael J. Funk

2021 ◽  
Author(s):  
◽  
Maria Kuhns

Due to rural health disparities and an uneven distribution of health providers across the rural urban continuum, retaining the existing rural health care provider workforce may be an important strategy to maintain existing rural health care provision. While a large body of literature addresses how to recruit health care providers to rural areas, less is known about how to retain these providers. Even less literature has focused on the role of rural communities in health care provider retention. In this thesis, I examine the role of provider background and familial characteristics, workplace characteristics, and community characteristics that may impact a provider's likelihood to consider leaving a rural community. I use data from a survey of over 900 rural health care providers across nine states and a probit model to estimate the impact of these characteristics on a provider's propensity to consider leaving. I find that establishing social ties and integrating within the community through volunteering reduces providers' likelihood to consider leaving by 10 percent. Additionally, providers who engage in entrepreneurship by investing in part or all of their practice are 12 percent less likely to consider leaving, all else being equal. I also find that having unacceptable on-call responsibilities increases a provider's likelihood to consider leaving by 17 percent. This thesis contributes to the existing literature by estimating the effects of work-life balance, entrepreneurship, and the role of family and personal integration on provider retention. Furthermore, it emphasizes the role of communities in provider retention. These results offer insights to rural communities and decision-makers seeking to identify how to maintain their existing rural health care workforce.


1992 ◽  
Vol 17 (3) ◽  
pp. 63-80
Author(s):  
Howard L. Smith ◽  
Neill F. Piland ◽  
Michael J. Funk

Author(s):  
Maninder Singh ◽  
Sudhakar Sattur ◽  
Paras Dedhia ◽  
Kishore Harjai ◽  
Zaruhi Babayan ◽  
...  

Background: Appropriate use criteria (AUC) for Single-Photon Emission Computed Tomographic Myocardial Perfusion Imaging (MPI) were revised in 2009 to include 15 new clinical scenarios. Prior studies showed that ∼15 % of MPI studies were requested for inappropriate indications, mostly by non-cardiology providers. Although awareness of the AUC has improved, few studies have specifically evaluated the impact of 2009 AUC in an electronic, integrated, rural health care system. Methods: All MPI studies done between April - Sep 2011 were reviewed in this single centre study at a rural, electronic, integrated health care system. Using 67 scenarios in AUC guidelines, these studies were classified into four categories: Appropriate (A), Inappropriate (I), Uncertain (U) and Unclassifiable. To estimate the independent impact of ordering provider specialty on level of appropriateness, multivariable analysis was performed using backward stepwise variable selection. Results: During 6 month study period, 328 patients underwent MPI. Overall, 287 (87.5%) studies were classified as (A), 18 (5.5%) as (I), 23 (7%) as (U) and none were deemed as unclassifiable out of these 328 studies. Preoperative testing accounted for 8 (44%) of the total 18 (I) studies. Of the 23 studies classified as (U), 16 (70%) were performed for patients with new or worsening symptoms and prior normal coronary angiography or prior normal stress imaging study. The ordering physician specialty (cardiologists vs. non-cardiologists) did not show a multivariable correlation with appropriateness of the test (p=0.46). Results are summarized in Fig. 1 Conclusion: In a rural, integrated, electronic, health care system; majority of providers, regardless of their specialty utilized MPI studies for (A) indications. Only 5.5% of MPI studies were ordered for (I) indications, suggesting a significant decrease in (I) tests compared to prior reports, which may reflect an increase in awareness of the revised 2009 criteria. However, certain common scenarios still account for a majority of small proportion of (I) studies. These findings may suggest a continuing need for provider education and possibly focusing the preauthorization triage process only for (I) clinical scenarios.


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