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Varkey, Prathibha

Mayo Clinic

Mayo Clinic Health System

Citations 32

Beyond Rurality: Individual Socioeconomic Status and Chronic Disease Prevalence
Sabarish, Shivani , Wi, Chung-Il, Beenken, Madison, Watson, Dave , Prissel, Christine M. , Wheeler, Philip H., Kelleher, Dan , Anil, Gokhan , Park, Eunice Y., Singh, Gurpreet, Lugo-Fagundo, Nahyr S, Howick, Jimmy F., Walker-Mcgill, Cheryl L., DUGANI, SAGAR, Pongdee, Thanai, Sosso, Jessica , Foss, Randy , Varkey, Prathibha, Juhn, Young J. , Wi, Chung‐Il , Wi, Chung-Ii , Patten, Christi A. , Wheeler, Philip, Lugo-Fagundo, Nahyr, Howick V, James F, Sharma, Pravesh , Dugani, Sagar B , Sosso, Jessica L , Foss, Randy M, Foss, Randy , Brockman, Tabetha A. , Wheeler, Philip H., Anderson, Trent, Lugo‐Fagundo, Nahyr , Walker-McGill, Cheryl Lynn, Hidaka, Brandon H. , Sharma, Pravesh , Dugani, Sagar B. , Pongdee, Thanai , Garovic, Vesna D.

No container title available | April 6, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.04.02.26350063 Get It

ABSTRACT Importance Rural-urban disparities in chronic disease prevalence are well established; however, the extent to which individual-level socioeconomic status (SES) contributes to these disparities remains unclear. Objective To examine the associations of rurality and SES with the prevalence of five most burdensome chronic diseases among adults. Design We conducted a retrospective cross-sectional study of adults across 27 Upper Midwest counties using the Expanded Rochester Epidemiology Project (E-REP) medical record data linkage system to evaluate associations between rurality, SES and chronic disease prevalence. Prevalence of clinically diagnosed asthma, diabetes, hypertension, coronary heart disease, and mood disorders was identified from International Classification of Diseases ICD9/10 codes over a five-year period (2014-2019). Setting Population based Participants Adults over 18 years residing in the 27 E-REP counties, excluding those missing rural-urban residence status. Exposure HOUSES index, an individual-level measure of SES, served as the primary measure, while rurality based on Rural Urban Commuting Area (RUCA) codes 4-10 was the secondary measure. Main Outcome Prevalence of the five clinically diagnosed chronic diseases was identified using ICD9/10 codes from 2014–2019. Mixed effect logistic regression models were used and adjusted for demographics and general medical examination receipt, to assess rural-urban and SES differences for prevalence of each chronic disease. Results Among 455,802 adults with available HOUSES index, 42.8% lived in rural areas, 53.8% were female and 87.4% were non-Hispanic White. In the unadjusted analysis, rural and urban populations showed comparable asthma and CHD prevalence, while mood disorders, hypertension, and diabetes were more common in urban areas. After adjusting for demographic factors and healthcare utilization, rural-urban differences were no longer statistically significant, whereas SES remained strongly associated with all diseases in a dose response manner (e.g., adjusted Odds Ratio for hypertension (ref: HOUSES index Q4): 1.14, 1.27, and 1.42 for HOUSES index Q3, Q2, and Q1, respectively). Conclusions and Relevance Individual-level SES measured by the HOUSES index, was more strongly associated with chronic disease prevalence than rurality, supporting its integration into population health assessment and risk stratification.
Back to the Future: Integrating Artificial Intelligence and Automation for Patient Safety
Varkey, Prathibha

Journal of Healthcare Management | March 11, 2024 | Volume: 69 | Issue: 2 | Pages: 96-98

10.1097/jhm-d-24-00024 Get It

A Systems Approach to Teach Core Topics across Graduate Medical Education Programmes
Varkey, Prathibha, Karlapudi, Sudhakar P.

Annals of the Academy of Medicine, Singapore | February 6, 2023 | Volume: 37 | Issue: 12 | Pages: 1044-1045

10.47102/annals-acadmedsg.v37n12p1044 Get It

Introduction: Core curricula including Ethics, Medico-legal issues, Socioeconomics, and Quality Improvement (QI) are relevant and significant for graduate medical education programmes, regardless of specialty. A lack of faculty expertise in these content areas is a frequently cited concern among specialty programmes in graduate medical education. We report the results of an institutional systems-approach to assist this challenge. Our institution has 86 post-graduate residency and fellowship training programmes serving 1068 learners. Directors of these programmes expressed the need for a centralised approach to teach learners about insurance systems and the basics of QI. Materials and Methods: Two subject matter experts in the fields of insurance systems and 1 expert in QI conducted 2 institution-wide didactics on each of the content areas, attended by 192 and 225 learners respectively. Results: Significant improvement in learner knowledge was noted for all 3 knowledge-based questions for both content areas (P <0.0001). Learner self-assessment of knowledge of insurance systems increased from a pre-session mean of 2.86 to a post-session mean of 3.80 (P <0.0001) and from 3.29 to a post-session mean of 4.17 (P <0.0001) for the QI didactics. Conclusion: Systems-wide didactic sessions for learners of different residencies has several advantages including the efficient use of content experts, prevention of resource burnout, and cost effectiveness. This strategy may also assist programmes directors in meeting external accreditation requirements. Key words: Audience response system, Quality improvement, Safety, Systems initiatives
Self-directed Learning in Health Professions Education
Varkey, Prathibha, Murad, M. Hassan

Annals of the Academy of Medicine, Singapore | February 6, 2023 | Volume: 37 | Issue: 7 | Pages: 580-590

10.47102/annals-acadmedsg.v37n7p580 Get It

Introduction: Self-directed learning has been recommended as a promising methodology for lifelong learning in medicine. However, the concept of self-directed learning continues to be elusive, with students and educators finding difficulty in defining it and agreeing on its worth. Methods: In this paper we review the literature of self-directed learning in health professions education and present a framework based on Malcolm Knowles’ key components of self-directed learning. Results: The key components of self-directed learning are: the educator as a facilitator, identification of learning needs, development of learning objectives, identification of appropriate resources, implementation of the process, commitment to a learning contract and evaluation of learning. Several but not all of these components are often described in the published literature. Conclusion: Although the presented framework provides some consistency for educators interested in applying SDL methods, future studies are needed to standardise self-directed learning curricula and to determine the effectiveness of these components on educational outcomes. Key words: Independent study, Medical education, Self-assessment, Self-directed learning, Selfeducation
Community-based, Hospital-Affiliated Medical Group Becomes a Successful Accountable Care Organization
Madden, Kathleen B., DoRosario, Arnold, O’Connell, Ryan M. , Aberizk, William, Brown, Karen , Guttman, Carrie, Goldstein, Richard , Logue, Peter, Varkey, Prathibha, Madden, Kathleen, Madden, Kathleen, O’Connell, Ryan

American Journal of Medical Quality | October 10, 2022 | Volume: 37 | Issue: 6 | Pages: 511-518

10.1097/jmq.0000000000000085 Get It

Leadership of a multispecialty group practice within a health system recognized in 2015 that population health management requires quality performance improvement and organizational culture change. While blueprints for building successful Accountable Care Organizations (ACOs) exist in the literature, few describe the journey to achieving both shared savings and high quality outcomes achieved by a medical group within an academic health system. Clinician education and engagement, prioritizing prevention and achieving benchmarks, developing supportive roles, more precise documentation of accurate diagnostic coding, and risk stratification constituted the approach. When first participating as an ACO, the medical group built programs and teams to improve quality, while CMS simultaneously changed quality measurements from pay-for-reporting to pay-for-performance. Quality scores initially dipped, though scores have since risen to 98.44% in 2020. Between 2015 and 2017, financial results were more than $10 million below the threshold, while in performance years 2018 to 2020, Northeast Medical Group achieved $24 million in aggregate in shared savings.
Reflective Practice
Kashiwagi, Deanne T. , Burton, M. Caroline , Hakim, Fayaz A., Manning, Dennis M., Klocke, David L., Caine, N, Hembre, Kristin M., Varkey, Prathibha, Caine, Natalie A

American Journal of Medical Quality | February 7, 2015 | Volume: 31 | Issue: 3 | Pages: 265-271

10.1177/1062860615571000 Get It

Creating a Patient-Centered Health Care Delivery System
Mohammed, Khaled , Nolan, Margaret , Rajjo, Tamim , Shah, Nilay D. , Varkey, Prathibha, Murad, M. Hassan , Nolan, Margaret B, Murad, Mohammad H, Prokop, Larry J. , Murad, M Hassan , Nolan, Margaret B

American Journal of Medical Quality | August 1, 2014 | Volume: 31 | Issue: 1 | Pages: 12-21

10.1177/1062860614545124 Get It

A Clinical Deterioration Prediction Tool for Internal Medicine Patients
Kirkland, Lisa L., Malinchoc, Michael, O’Byrne, Megan M., Benson, Joanne T., Kashiwagi, Deanne T. , Burton, M. Caroline , Varkey, Prathibha, Morgenthaler, Timothy I. , Morgenthaler, Timothy I

American Journal of Medical Quality | July 21, 2012 | Volume: 28 | Issue: 2 | Pages: 135-142

10.1177/1062860612450459 Get It

Should You Search the Internet for Information About Your Acute Symptom?
North, Frederick , Ward, William J. , Varkey, Prathibha, Tulledge‐Scheitel, Sidna M.

Telemedicine and e-Health | February 24, 2012 | Volume: 18 | Issue: 3 | Pages: 213-218

10.1089/tmj.2011.0127 Get It

The value of telephone triage for patients with appendicitis
North, Frederick , Odunukan, Olufunso W. , Varkey, Prathibha

Journal of Telemedicine and Telecare | December 6, 2011 | Volume: 17 | Issue: 8 | Pages: 417-420

10.1258/jtt.2011.110301 Get It

Although it has been assumed that telephone triage can directly benefit patients by facilitating early diagnosis and treatment, this potential benefit has not been well documented. Using appendicitis cases ascertained from claims data, we compared telephone triage recommendations with what the callers originally intended to do. Over a two-year period, there were 20,230 calls to a telephone triage centre in the US where insurance information was available. Of these, 12,709 calls (63%) had insurance claims made within seven days of the call. Among these calls, 46 had a diagnosis of appendicitis. In 72% of calls concerning appendicitis, the telephone triage recommendation was for a more rapid evaluation than the caller originally intended ( P < 0.0001). In 91% of the appendicitis cases, triage nurses directed callers to care within 8 h, but without triage advice, only 39% of callers stated they would have sought care within 8 h ( P < 0.0001). Telephone triage significantly reduced the delay in care for appendicitis in comparison with what the caller would have done. This suggests that telephone triage potentially reduces the morbidity associated with appendicitis.