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297 results on '"Halverson, Paul K."'

7. The US Cancer Moonshot initiative.

Author

Aelion, C Marjorie, Airhihenbuwa, Collins O, Alemagno, Sonia, Amler, Robert W, Arnett, Donna K, Balas, Andrew, Bertozzi, Stefano, Blakely, Craig H, Boerwinkle, Eric, Brandt-Rauf, Paul, Buekens, Pierre M, Chandler, G Thomas, Chang, Rowland W, Clark, Jane E, Cleary, Paul D, Curran, James W, Curry, Susan J, Diez Roux, Ana V, Dittus, Robert, Ellerbeck, Edward F, El-Mohandes, Ayman, Eriksen, Michael P, Erwin, Paul C, Evans, Gregory, Finnegan, John R, Fried, Linda P, Frumkin, Howard, Galea, Sandro, Goff, David C, Goldman, Lynn R, Guilarte, Tomas R, Rivera-Gutiérrez, Ralph, Halverson, Paul K, Hand, Gregory A, Harris, Cynthia M, Healton, Cheryl G, Hennig, Nils, Heymann, Jody, Hunter, David, Hwang, Wenke, Jones, Resa M, Klag, Michael J, Klesges, Lisa M, Lahey, Tim, Lawlor, Edward F, Maddock, Jay, Martin, William J, Mazzaschi, Anthony J, Michael, Max, Mohammed, Shan D, Nasca, Philip C, Nash, David, Ogunseitan, Oladele A, Perez, Ronald A, Perri, Michael, Petersen, Donna J, Peterson, Darleen V, Philbert, Martin, Pinto-Martin, Jennifer, Raczynski, James M, Raskob, Gary E, Rimer, Barbara K, Rohrbach, Louise Ann, Rudkin, Laura L, Siminoff, Laura, Szapocznik, José, Thombs, Dennis, Torabi, Mohammad R, Weiler, Robert M, Wetle, Terrie Fox, Williams, Phillip L, Wykoff, Randy, and Ying, Jun

Subjects
Humans, Neoplasms, Public Health, Biomedical Research, Government Agencies, United States, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Published
2016

9. Indiana’s Public Health Investment Holds Insights For Other States

Author

Menachemi, Nir, Weaver, Lindsay, Caine, Virginia, Hatchett, D. Shane, Box, Kristina, and Halverson, Paul K.

Abstract

Indiana has a business-friendly environment, but historical underinvestment in public health has yielded poor health outcomes. In 2023, when trust in governmental public health was strained nationwide, Indiana increased public health spending by 1,500 percent. In this article, we explain how Indiana achieved this unprecedented legislative victory for public health, describing the context, approach, and lessons learned. Specifically, an Indiana University report linking economic vitality and overall health sparked the creation of a governor’s commission charged with exploring ways to address Indiana’s shortcomings. Working with the Indiana Department of Health, the commission developed multisectoral coalitions and business and government partnerships, and it maintained consistent and coordinated communication with policy makers. Lessons learned included the value of uncoupling public health from partisan narratives, appointing diverse commission membership with strategically selected cochairs, involving local leaders, and ensuring local decision-making control. We believe that Indiana’s approach holds insights for other states interested in strengthening public health funding in the current era.

Published
2024
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17. Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

Author

Kasthurirathne, Suranga N, Grannis, Shaun, Halverson, Paul K, Morea, Justin, Menachemi, Nir, and Vest, Joshua R

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

BackgroundEmerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors on health. These issues are not satisfactorily addressed in typical medical care encounters, and thus, opportunities to improve health outcomes, reduce costs, and improve coordination of care are not realized. Furthermore, methodological expertise on the use of varied patient- and population-level data sets and machine learning to predict need for supplemental services is limited. ObjectiveThe objective of this study was to leverage a comprehensive range of clinical, behavioral, social risk, and social determinants of health factors in order to develop decision models capable of identifying patients in need of various wraparound social services. MethodsWe used comprehensive patient- and population-level data sets to build decision models capable of predicting need for behavioral health, dietitian, social work, or other social service referrals within a safety-net health system using area under the receiver operating characteristic curve (AUROC), sensitivity, precision, F1 score, and specificity. We also evaluated the value of population-level social determinants of health data sets in improving machine learning performance of the models. ResultsDecision models for each wraparound service demonstrated performance measures ranging between 59.2%% and 99.3%. These results were statistically superior to the performance measures demonstrated by our previous models which used a limited data set and whose performance measures ranged from 38.2% to 88.3% (behavioural health: F1 score P

Published
2020
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33. Primary Care Case Conferences to Mitigate Social Determinants of Health: A Case Study from One FQHC System

Author

Yeager, Valerie A., Taylor, Heather L., Menachemi, Nir, Haut, Dawn P., Halverson, Paul K., and Vest, Joshua R.

Subjects
Article
Abstract

OBJECTIVE: Given the increasing difficulty healthcare providers face in addressing patients’ complex social circumstances and underlying health needs, organizations are considering team-based approaches including case conferences. We sought to document various perspectives on the facilitators and challenges of conducting case conferences in primary care settings. STUDY DESIGN: Qualitative study using semi-structured telephone interviews METHODS: We conducted 22 qualitative interviews with members of case conferencing teams, including physicians, nurses, and social workers from a Federally Qualified Health Clinic, as well as local county public health nurses. Interviews were recorded, transcribed, and reviewed using thematic coding to identify key themes/subthemes. RESULTS: Participants reported perceived benefits to patients, providers, and healthcare organizations including better care, increased inter-professional communication, and shared knowledge. Perceived challenges related to underlying organizational processes and priorities. Perceived facilitators for successful case conferences included generating and maintaining a list of patients to discuss during case conference sessions and team members being prepared to actively participate in addressing tasks and patient needs during each session. Participants offered recommendations for further improving case conferences for patients, providers, and organizations. CONCLUSIONS: Case conferences may be a feasible approach to understanding patient’s complex social needs. Participants reported that case conferences may help mitigate the effects of these social issues and that they foster better inter-professional communication and care planning in primary care. The case conference model requires administrative support and organizational resources to be successful. Future research should explore how case conferences fit into a larger population health organizational strategy so that they are resourced commensurately.

Published
2021

36. The OPTN Deceased Donor Potential Study: Implications for Policy and Practice

Author

Klassen, D. K., Edwards, L. B., Stewart, D. E., Glazier, A. K., Orlowski, J. P., Berg, C. L., McCleary, Karl J, Hirsch, Gary B, Boulware, Ebony L., King, Gary, Myer, Kevin A, Reibel, Michael, Rosendale, John D, Saeed, Khalid, Siminoff, Laura A, Soret, Samuel, Wagstaff, David A, Wile, Kristina, Essien, Joyce D K, Crandall, Betty C, Cornell, Danielle L, Jacobs, David G, Bosch, David W, Howard, David H, Faulkner, Dorothy L, Bergstrom, George F, Rushton, Gerald, Franklin, Glen, Wilkins, Harry E, III, Rahmandad, Hazhir, Nathan, Howard M, Tuttle-Newhall, Elizabeth J, Wynn, James J, Whaley, Janice, Perryman, Jennie P, Schold, Jesse, Belcher, John, Mayglothing, Julie A, Garcia, Karen, OʼConner, Kevin J, Kyckholm, Laurie J, Ohler, Linda, Markham, Lori E, Sastry, Anjali M, Fierro, Marcella Farinelli, DeLauro, Maria, Kelleher-Crabtree, Mary, Johnson, Maryl R, Rogers, Meg M, Pyrsopoulos, Nikolaos T, Geraghty, P J, Halverson, Paul K, Bennett, Renee, Hasz, Richard D, Higgins, Robert S D, Youngner, Stuart J, Conrad, Suzanne Lane, Mone, Thomas, Nakagawa, Thomas A, Bleck, Thomas P, Pruett, Timothy L, Durbin, Richard, McLaughlin, Christopher J, Belgay, Teresa M, and Shepard, Brian

Published
2016
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49. Institutional factors associated with hospital partnerships for population health: A pooled cross-sectional analysis.

Author

Ellis Hilts, Katy, Gibson, P. Joseph, Blackburn, Justin, Yeager, Valerie A., Halverson, Paul K., and Menachemi, Nir

Subjects
HOSPITALS, STATISTICS, NONPROFIT organizations, HEALTH facility administration, CROSS-sectional method, REGRESSION analysis, PUBLIC health, PUBLIC administration, INTERPROFESSIONAL relations, DESCRIPTIVE statistics, SCHOOLS, BUSINESS, CHI-squared test, POPULATION health, STATISTICAL models, LOGISTIC regression analysis, DATA analysis software
Abstract

Background: Hospitals are increasingly engaging in partnerships to address population health in response to national policies, such as value-based payment models. However, little is known about how institutional factors influence hospital partnerships for population health. Purpose: Guided by institutional theory, we examine the association between institutional pressures (coercive, normative, and mimetic isomorphism) and hospital partnerships for population health. Methodology: A pooled cross-sectional analysis used an unbalanced panel of 10,777 hospital-year observations representing respondents to a supplemental question of the American Hospital Association's annual survey (2015–2017). The analysis included descriptive and bivariate statistics, and regression models that adjusted for repeated observations to examine the relationship between key independent variables and partnerships over time. Findings: In regression analyses, we found the most support for measures of coercive (e.g., regulatory factors) isomorphism, with nonprofit status, participation in accountable care organizations, and acceptance of bundled payments, all being consistently and significantly associated with partnerships across all organization types. Modest increases were observed from 2015 to 2017 for hospital partnerships with public health organizations (+2.8% points, p <.001), governmental organizations (+2.0% points, p =.009), schools (+4.1% points, p <.001), and businesses (+2.2% points, p =.007). Practice Implications: Our results suggest that institutional factors, particularly those related to regulatory policies and programs, may influence hospital partnerships to support population health. Findings from this study can assist hospital leaders in assessing the factors that can support or impede the creation of partnerships to support their population health efforts. [ABSTRACT FROM AUTHOR]

Published
2022
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