Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Sarah Edgington is active.

Publication


Featured researches published by Sarah Edgington.


JAMA Internal Medicine | 2016

Effectiveness of remote patient monitoring after discharge of hospitalized patients with heart failure the better effectiveness after transition-heart failure (BEAT-HF) randomized clinical trial

Michael K. Ong; Patrick S. Romano; Sarah Edgington; Harriet Udin Aronow; Andrew D. Auerbach; Jeanne T Black; Teresa De Marco; José J. Escarce; Lorraine S. Evangelista; Barbara Hanna; Theodore G. Ganiats; Barry H. Greenberg; Sheldon Greenfield; Sherrie H. Kaplan; Asher Kimchi; Honghu Liu; Dawn Lombardo; Carol M. Mangione; Bahman Sadeghi; Banafsheh Sadeghi; Majid Sarrafzadeh; Kathleen Tong; Gregg C. Fonarow

IMPORTANCE It remains unclear whether telemonitoring approaches provide benefits for patients with heart failure (HF) after hospitalization. OBJECTIVE To evaluate the effectiveness of a care transition intervention using remote patient monitoring in reducing 180-day all-cause readmissions among a broad population of older adults hospitalized with HF. DESIGN, SETTING, AND PARTICIPANTS We randomized 1437 patients hospitalized for HF between October 12, 2011, and September 30, 2013, to the intervention arm (715 patients) or to the usual care arm (722 patients) of the Better Effectiveness After Transition-Heart Failure (BEAT-HF) study and observed them for 180 days. The dates of our study analysis were March 30, 2014, to October 1, 2015. The setting was 6 academic medical centers in California. Participants were hospitalized individuals 50 years or older who received active treatment for decompensated HF. INTERVENTIONS The intervention combined health coaching telephone calls and telemonitoring. Telemonitoring used electronic equipment that collected daily information about blood pressure, heart rate, symptoms, and weight. Centralized registered nurses conducted telemonitoring reviews, protocolized actions, and telephone calls. MAIN OUTCOMES AND MEASURES The primary outcome was readmission for any cause within 180 days after discharge. Secondary outcomes were all-cause readmission within 30 days, all-cause mortality at 30 and 180 days, and quality of life at 30 and 180 days. RESULTS Among 1437 participants, the median age was 73 years. Overall, 46.2% (664 of 1437) were female, and 22.0% (316 of 1437) were African American. The intervention and usual care groups did not differ significantly in readmissions for any cause 180 days after discharge, which occurred in 50.8% (363 of 715) and 49.2% (355 of 722) of patients, respectively (adjusted hazard ratio, 1.03; 95% CI, 0.88-1.20; P = .74). In secondary analyses, there were no significant differences in 30-day readmission or 180-day mortality, but there was a significant difference in 180-day quality of life between the intervention and usual care groups. No adverse events were reported. CONCLUSIONS AND RELEVANCE Among patients hospitalized for HF, combined health coaching telephone calls and telemonitoring did not reduce 180-day readmissions. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01360203.


Journal of Hospital Medicine | 2015

Improving patient satisfaction through physician education, feedback, and incentives.

Gaurav Banka; Sarah Edgington; Namgyal Kyulo; Tony Padilla; Virgie Mosley; Nasim Afsar-manesh; Gregg C. Fonarow; Michael K. Ong

BACKGROUND Patient satisfaction has been associated with improved outcomes and become a focus of reimbursement. OBJECTIVE Evaluate an intervention to improve patient satisfaction. DESIGN Nonrandomized, pre-post study that took place from 2011 to 2012. SETTING Large tertiary academic medical center. PARTICIPANTS Internal medicine (IM) resident physicians, non-IM resident physicians, and adult patients of the resident physicians. INTERVENTION IM resident physicians were provided with patient satisfaction education through a conference, real-time individualized patient satisfaction score feedback, monthly recognition, and incentives for high patient-satisfaction scores. MAIN MEASURES Patient satisfaction on physician-related and overall satisfaction questions on the HCAHPS survey. We conducted a difference-in-differences regression analysis comparing IM and non-IM patient responses, adjusting for differences in patient characteristics. KEY RESULTS In our regression analysis, the percentage of patients who responded positively to all 3 physician-related Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) questions increased by 8.1% in the IM and 1.5% in the control cohorts (absolute difference 6.6%, P = 0.04). The percentage of patients who would definitely recommend this hospital to friends and family increased by 7.1% in the IM and 1.5% in the control cohorts (absolute difference 5.6%, P = 0.02). The national average for the HCAHPS outcomes studied improved by no more than 3.1%. LIMITATIONS This study was nonrandomized and was conducted at a single site. CONCLUSION To our knowledge, this is the first intervention associated with a significant improvement in HCAHPS scores. This may serve as a model to increase patient satisfaction, hospital revenue, and train resident physicians.


Pharmacotherapy | 2014

Association of Medicare Part D Low‐Income Cost Subsidy Program Enrollment with Increased Fill Adherence to Clopidogrel After Coronary Stent Placement

O. Kenrik Duru; Sarah Edgington; Carol M. Mangione; Norman Turk; Chi-Hong Tseng; Lindsay Kimbro; Susan L. Ettner

To determine the association between enrollment in the Medicare Part D low‐income subsidy (LIS) program, which reduces out‐of‐pocket medication costs, and fill adherence to the antiplatelet drug clopidogrel after coronary stent placement.


Health Services Research | 2012

Take-Up of Public Insurance and Crowd-Out of Private Insurance Under Recent Chip Expansions to Higher Income Children

Carole Roan Gresenz; Sarah Edgington; Miriam J. Laugesen; José J. Escarce


Archive | 2016

Effectiveness of Remote Patient Monitoring After Discharge of Hospitalized Patients with Heart Failure

Patrick S. Ong; Patrick S. Romano; Sarah Edgington; Harriet Udin Aronow; Andrew D. Auerbach; Jeanne T Black; Teresa De Marco; José J. Escarce; Lorraine S. Evangelista; Barbara Hanna; Theodore G. Ganiats; Barry H. Greenberg; Sheldon Greenfield; Sherrie H. Kaplan; Asher Kimchi; Honghu H. Liu; Dawn Lombardo; Carol M. Mangione; Bahman Sadeghi; Banafsheh Sadeghi; Majid Sarrafzadeh; Kathleen Tong; Gregg C. Fonarow


National Bureau of Economic Research | 2011

Take-Up of Public Insurance and Crowd-out of Private Insurance Under Recent CHIP Expansions to Higher Income Children

Carole Roan Gresenz; Sarah Edgington; Miriam J. Laugesen; José J. Escarce


JAMA Internal Medicine | 2016

Erratum: Effectiveness of remote patient monitoring after discharge of hospitalized patients with heart failure: The better effectiveness after transition-heart failure (BEAT-HF) randomized clinical trial (JAMA Internal Medicine (2016) DOI: 10.1001/jamainternmed.2015.7712)

Michael K. Ong; Patrick S. Romano; Sarah Edgington


Archive | 2015

Remote Patient Management After Discharge of Hospitalized Heart Failure Patients: The Better Effectiveness After Transition - Heart Failure Study

Michael K. Ong; Patrick S. Romano; Sarah Edgington; Andrew D. Auerbach; Harriet Udin Aronow; Jeanne T Black; T De Marco; José J. Escarce; Lorraine S. Evangelista; Theodore G. Ganiats; Barry H. Greenberg; Sheldon Greenfield; Sherrie H. Kaplan; Asher Kimchi; Honghu H. Liu; Dawn Lombardo; Carol M. Mangione; Majid Sarrafzadeh; Kathleen Tong; Gregg C. Fonarow; Beat-Hfr Grp


Archive | 2011

Behavioral Responses to Programmatic Features of States' Children's Health Insurance Programs

Carole Roan Gresenz; Sarah Edgington; Miriam Laugesen; José J. Escarce


Archive | 2011

Tradeoffs Between Public and Private Insurance Under Recent CHIP Expansions to Higher Income Children

Carole Roan Gresenz; Sarah Edgington; Miriam Laugesen; José J. Escarce

Collaboration


Dive into the Sarah Edgington's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Michael K. Ong

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Asher Kimchi

Cedars-Sinai Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Dawn Lombardo

University of California

View shared research outputs
Researchain Logo
Decentralizing Knowledge