IU Indianapolis ScholarWorks :: Browsing by Author "Halverson, Paul K."

Browsing by Author "Halverson, Paul K."

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Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services
(Oxford Press, 2018-01) Kasthurirathne, Suranga N.; Vest, Joshua R.; Menachemi, Nir; Halverson, Paul K.; Grannis, Shaun J.; Health Policy and Management, School of Public Health
Introduction A growing variety of diverse data sources is emerging to better inform health care delivery and health outcomes. We sought to evaluate the capacity for clinical, socioeconomic, and public health data sources to predict the need for various social service referrals among patients at a safety-net hospital. Materials and Methods We integrated patient clinical data and community-level data representing patients’ social determinants of health (SDH) obtained from multiple sources to build random forest decision models to predict the need for any, mental health, dietitian, social work, or other SDH service referrals. To assess the impact of SDH on improving performance, we built separate decision models using clinical and SDH determinants and clinical data only. Results Decision models predicting the need for any, mental health, and dietitian referrals yielded sensitivity, specificity, and accuracy measures ranging between 60% and 75%. Specificity and accuracy scores for social work and other SDH services ranged between 67% and 77%, while sensitivity scores were between 50% and 63%. Area under the receiver operating characteristic curve values for the decision models ranged between 70% and 78%. Models for predicting the need for any services reported positive predictive values between 65% and 73%. Positive predictive values for predicting individual outcomes were below 40%. Discussion The need for various social service referrals can be predicted with considerable accuracy using a wide range of readily available clinical and community data that measure socioeconomic and public health conditions. While the use of SDH did not result in significant performance improvements, our approach represents a novel and important application of risk predictive modeling.
Association of Health Status and Nicotine Consumption with SARS-CoV-2 positivity rates
(BMC, 2021-10) Duszynski, Thomas J.; Fadel, William; Wools-Kaloustian, Kara K.; Dixon, Brian E.; Yiannoutsos, Constantin; Halverson, Paul K.; Menachemi, Nir; Epidemiology, School of Public Health
BACKGROUND: Much of what is known about COVID-19 risk factors comes from patients with serious symptoms who test positive. While risk factors for hospitalization or death include chronic conditions and smoking; less is known about how health status or nicotine consumption is associated with risk of SARS-CoV-2 infection among individuals who do not present clinically. METHODS: Two community-based population samples (including individuals randomly and nonrandomly selected for statewide testing, n = 8214) underwent SARS-CoV-2 testing in nonclinical settings. Each participant was tested for current (viral PCR) and past (antibody) infection in either April or June of 2020. Before testing, participants provided demographic information and self-reported health status and nicotine and tobacco behaviors (smoking, chewing, vaping/e-cigarettes). Using descriptive statistics and a bivariate logistic regression model, we examined the association between health status and use of tobacco or nicotine with SARS-CoV-2 positivity on either PCR or antibody tests. RESULTS: Compared to people with self-identified "excellent" or very good health status, those reporting "good" or "fair" health status had a higher risk of past or current infections. Positive smoking status was inversely associated with SARS-CoV-2 infection. Chewing tobacco was associated with infection and the use of vaping/e-cigarettes was not associated with infection. CONCLUSIONS: In a statewide, community-based population drawn for SARS-CoV-2 testing, we find that overall health status was associated with infection rates. Unlike in studies of COVID-19 patients, smoking status was inversely associated with SARS-CoV-2 positivity. More research is needed to further understand the nature of this relationship.
Bayesian estimation of SARS-CoV-2 prevalence in Indiana by random testing
(NAS, 2021-02) Yiannoutsos, Constantin T.; Halverson, Paul K.; Menachemi, Nir; Biostatistics, School of Public Health
From 25 to 29 April 2020, the state of Indiana undertook testing of 3,658 randomly chosen state residents for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, the agent causing COVID-19 disease. This was the first statewide randomized study of COVID-19 testing in the United States. Both PCR and serological tests were administered to all study participants. This paper describes statistical methods used to address nonresponse among various demographic groups and to adjust for testing errors to reduce bias in the estimates of the overall disease prevalence in Indiana. These adjustments were implemented through Bayesian methods, which incorporated all available information on disease prevalence and test performance, along with external data obtained from census of the Indiana statewide population. Both adjustments appeared to have significant impact on the unadjusted estimates, mainly due to upweighting data in study participants of non-White races and Hispanic ethnicity and anticipated false-positive and false-negative test results among both the PCR and antibody tests utilized in the study.
Declaring racism a public health crisis brings more attention to solving long-ignored racial gaps in health
(The Conversation US, Inc., 2021-04-22) Halverson, Paul K.; Health Policy and Management, Richard M. Fairbanks School of Public Health
Deficient Response to COVID-19 Makes the Case for Evolving the Public Health System
(Elsevier, 2020-08-26) Dixon, Brian E.; Caine, Virginia A.; Halverson, Paul K.; Department of Health Policy and Management, IU School of Public Health
Coronavirus disease 2019 (COVID-19) has affected more than 14 million individuals and caused more than 600,000 deaths as of July 20, 2020, rapidly spreading across large cities as well as many rural areas. In parallel with rising cases and deaths globally, the situation in local communities fluctuates daily while knowledge about the disease and transmission evolves. Public health agencies play a critical role in managing disease epidemics. Agencies are on the front lines to conduct disease surveillance, facilitate resource distribution including personal protective equipment (PPE), establish alternative care sites, and provide diagnostic support through laboratory testing. The public health response to COVID-19 has been criticized for being too slow, lacking transparency, and insufficient. This essay examines reasons behind the sluggish response to COVID-19. The authors then argue for an evolved public health system following the crisis, which is better prepared for emergencies and equipped to support population health for the future.
Design and Implementation of the Diabetes Impact Project: A Multisector Partnership to Reduce Diabetes Burden in Indianapolis Communities
(Wolters Kluwer, 2023) Staten, Lisa K.; Weathers, Tess D.; Nicholas, Celeste; Grain, Tedd; Haut, Dawn P.; Duckett-Brown, Patrice; Halverson, Paul K.; Caine, Virginia; Community and Global Health, School of Public Health
Context: Community-level health disparities have not arisen suddenly but are the result of long-term systemic inequities. This article describes the design and implementation of a community-engaged multisector partnership to address health disparities by reducing the diabetes burden in 3 Indianapolis communities through the implementation of evidence-based strategies across the prevention continuum. Program: The project has 5 foundational design principles: engage partners from multiple sectors to address community health, focus on geographic communities most affected by the health disparity, practice authentic community engagement, commit for the long term, and utilize a holistic approach spanning the prevention continuum. Implementation: The design principles are incorporated into the following project components in each community: (1) health system community health workers (hCHWs), (2) neighborhood CHWs (nCHWs), (3) community health promotion initiatives, and (4) resident steering committees, as well as a backbone organization responsible for overall coordination, project communication, evaluation, and partnership coordination. Evaluation: This complex multilevel intervention is being evaluated using data sources and methodologies suited to each project component and its purpose overall. Each component is being evaluated independently and included holistically to measure the impact of the project on the health and culture of health in the communities. Key Performance Indicators were established upon project initiation as our common metrics for the partnership. Because complex interventions aiming at population-level change take time, we evaluate Diabetes Impact Project-Indianapolis Neighborhoods (DIP-IN), assuming its impact will take many years to achieve. Discussion: Health disparities such as the diabetes prevalence in project communities have not arisen suddenly but are the result of long-term systemic inequities. This complex issue requires a complex holistic solution with long-term commitment, trusted partnerships, and investment from diverse sectors as seen in this project. Implications for policy and practice include the need to identify stable funding mechanisms to support these types of holistic approaches.
Ensuring a Strong Public Health Workforce for the 21st Century: Reflections on PH WINS 2017
(Wolters Kluwer, 2019-03) Halverson, Paul K.; Richard M. Fairbanks School of Public Health
The success of any organization can be attributed to one thing: its people. This is particularly true for local health departments (LHDs) and state health agencies (SHAs), as the public health workforce is fundamental to achieving organizational goals and improving the health outcomes of populations.
An Examination of How National Policies are Driving Population Health Outcomes and Organizational Change in Private and Public Sectors
(2020-03) Hilts, Katy Ellis; Menachemi, Nir; Blackburn, Justin; Gibson, P. Joseph; Halverson, Paul K.; Yeager, Valerie A.
The United States spends more on healthcare than any other country in the world, but still trails most other countries when it comes to important health indicators. There has been an increasing recognition that in order to address this discrepancy, the U.S. health system must begin to address the underlying social determinants contributing to poor health outcomes. In light of this, the concept of “population health” has emerged as a framework and model for how to better address the social determinants contributing to unhealthy behaviors and increased rates of morbidity and mortality in the U.S. Various national initiatives, including reform related to how doctors and hospitals are paid, have been developed with the purpose of increasing the adoption of strategies to address population health among public and private organizations. In this dissertation I attempt to assess how these national policies are driving behavior and outcomes related to improving population health in private and public sectors. It is comprised of three papers focused on 1) a systematic review of literature to assess how hospitals are responding to policies that encourage them to form partnerships to address population health, 2) a quantitative analysis of how the Affordable Care Act has impacted population health by addressing tobacco use with policies to increase Medicaid coverage for tobacco cessation services, and 3) an empirical examination to identify hospital strategic partnerships to address population health and determine hospital and market characteristics associated with these partnerships. The main findings of this study indicate that while there is a growing amount of peer reviewed literature focused on hospital partnerships for population health there is still a need for more generalizable studies with rigorous study designs in this area; Medicaid Expansion as a part of the Affordable Care Act is associated with lower prevalence of tobacco use; and policies, such as Accountable Care Organization and Bundled Payment models, may be influencing hospitals to engage with a broad set of partners to support population health activities. Collectively these studies provide new evidence to suggest that national policies may be driving behavior in private and public sectors related to population health.
High Turnover Among State Health Officials/Public Health Directors: Implications for the Public's Health
(Wolters Kluwer, 2017-09) Halverson, Paul K.; Lumpkin, John R.; Yeager, Valerie A.; Castrucci, Brian C.; Moffatt, Sharon; Tilson, Hugh; Health Policy and Management, School of Public Health
State health officials (SHOs) serve a critical role as the leaders of state public health systems. Despite their many responsibilities, there is no formal process for preparation to become an SHO, and few requirements influence the selection of an SHO. Furthermore, to date, no studies have examined SHO tenure or their experiences.
Hospital Partnerships for Population Health: A Systematic Review of the Literature
(Wolters Kluwer, 2021) Ellis Hilts, Katy; Yeager, Valerie A.; Gibson, P. Joseph; Halverson, Paul K.; Blackburn, Justin; Menachemi, Nir; Health Policy and Management, School of Public Health
The U.S. healthcare system continues to experience high costs and suboptimal health outcomes that are largely influenced by social determinants of health. National policies such as the Affordable Care Act and value-based payment reforms incentivize healthcare systems to engage in strategies to improve population health. Healthcare systems are increasingly expanding or developing new partnerships with community-based organizations to support these efforts. We conducted a systematic review of peer-reviewed literature in the United States to identify examples of hospital-community partnerships; the main purposes or goals of partnerships; study designs used to assess partnerships; and potential outcomes (e.g., process- or health-related) associated with partnerships. Using robust keyword searches and a thorough reference review, we identified 37 articles published between January 2008 and December 2019 for inclusion. Most studies employed descriptive study designs (n = 21); health needs assessments were the most common partnership focus (n = 15); and community/social service (n = 21) and public health organizations (n = 15) were the most common partner types. Qualitative findings suggest hospital-community partnerships hold promise for breaking down silos, improving communication across sectors, and ensuring appropriate interventions for specific populations. Few studies in this review reported quantitative findings. In those that did, results were mixed, with the strongest support for improvements in measures of hospitalizations. This review provides an initial synthesis of hospital partnerships to address population health and presents valuable insights to hospital administrators, particularly those leading population health efforts.

Browsing by Author "Halverson, Paul K."

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