Health and Medical Administration Commons^™

C22: Eravacycline Versus Best Previously Available Therapy In Adults With Pneumonia Due To Drug-Resistant Acinetobacter Baumannii, Courtney Jane Scott, Rebecca Jayakumar, Elizabeth Zhu, Velliyur Viswesh

Annual Research Symposium

There are no published studies documenting outcomes with the use of eravacycline against drug-resistant Acinetobacter baumannii. The purpose of this study is to assess the efficacy of eravacycline use, in comparison to best previously available therapy, in patients with drug-resistant Acinetobacter baumannii pneumonia.

C20: A Comparison Of Heparin Vs Bivalirudin In Patients Undergoing Percutaneous Coronary Intervention (Pci) In Achieving Therapeutic Activated Clotting Time, Priyanga Radjassegarane, Ragini Bhakta, Joanne Dominguez

Annual Research Symposium

No abstract provided.

C17: Programmed Cell Death Ligand- 1 Expression As A Prognostic Indicator In Oral Squamous Cell Carcinoma, Dr. Samar Saeed Khan

Annual Research Symposium

No abstract provided.

C16: On-The-Spot Transport Media For The Freshly Biopsied Soft Tissue Specimen: A Comparative Study, Snehashish Ghosh

Annual Research Symposium

No abstract provided.

C10: Oral Potentially Malignant Disorders Prevalence In The Orthodontic Clinic, Mark Greene

Annual Research Symposium

No abstract provided.

C8: Intravenous (Iv) Bolus Versus Iv Infusion As Initial Approach For Blood Pressure (Bp) In Acute Ischemic Stroke (Ais) Patients Receiving Tissue-Plasminogen Activator (Tpa), Alexander D. Bonca, Alana Whittaker

Annual Research Symposium

No abstract provided.

C4: Comparing The Sub-Gingival Levels Of Cytomegalovirus, Epstein-Barr Virus, Porphyromonas Gingivalis In Human Immunodeficiency Virus-1 Seropositive Patients With And Without Antiretroviral Therapy, Supriya Kheur

Annual Research Symposium

No abstract provided.

S3: Post-Covid-19 Recovery Care Plan For Older Adults With Continuing Symptoms Of Breathlessness And Fatigue, Nancy M. Bryan, Marie Wright-Rolf Edd, Msn, Rn, Siboney Zelaya Ph.D., Mph, Msn Ed, Rn, Justin Carbonel

Annual Research Symposium

Background:

The CDC research actively continues gathering information related to short and long-term symptoms that remain following the acute phase of Covid-19 diagnosis (CDC, 2020).

Fatigue and shortness of breath are listed among the most commonly reported long-term symptoms of Covid-19:

1. Fatigue
2. Shortness of Breath
3. Cough
4. Joint Pain
5. Chest Pain (CDC, 2020).

Evidence suggests that older adults over the age of 60 who have multiple comorbidities are more susceptible and are at a higher risk of contracting the Covid-19 virus thus potentially prolonging recovery time post diagnosis (Greenhalgh, Knight, A’Court, Buxton, & Husain, 2020).

The Agency for Healthcare Research and …

P5: Covid-19 Vaccine: Technology Platform, Efficacy And Immune Protection, Manas Mandal

Annual Research Symposium

Roseman Research Day Symposium.

P2: Characteristics Of Individuals With Oral Hpv Positive Results, Val Cheever, Eric Hon, Andrew J. Gross, Man Hung

Annual Research Symposium

No abstract provided.

O2: In-Silico Approach To Analyze Anticancer Activity Of Withania Somnifera In Oral Cancer, Gauri Kumbhar

Annual Research Symposium

No abstract provided.

Enhancing Healthcare Professional And Caregiving Staff Informedness With Data Analytics For Chronic Disease Management, Na Liu, Robert John Kauffman

Research Collection School Of Computing and Information Systems

An important area in healthcare to which data analytics can be applied is chronic disease management. The chronic care model is mostly patient-centric, so patients have been considered as the end users of data analytics. The information needs of healthcare providers have been overlooked. Drawing upon the theory of informedness and the transtheoretical model of health behavior change, we use a multicase study approach to investigate the information needs of different caregiving stakeholders in the spectrum of chronic diseases, and how data analytics can be designed to meet the varying needs of professionals and staff to support their informedness.

Measurement Matters: Changing Penalty Calculations Under The Hospital Acquired Condition Reduction Program (Hacrp) Cost Hospitals Millions, Olga A. Vsevolozhskaya, Karina C. Manz, Pierre M. Zephyr, Teresa M. Waters

Biostatistics Faculty Publications

BACKGROUND: Since October 2014, the Centers for Medicare and Medicaid Services has penalized 25% of U.S. hospitals with the highest rates of hospital-acquired conditions under the Hospital Acquired Conditions Reduction Program (HACRP). While early evaluations of the HACRP program reported cumulative reductions in hospital-acquired conditions, more recent studies have not found a clear association between receipt of the HACRP penalty and hospital quality of care. We posit that some of this disconnect may be driven by frequent scoring updates. The sensitivity of the HACRP penalties to updates in the program's scoring methodology has not been independently evaluated.

METHODS: We used …

Impact Of Information Breaches On Health Care Records, Anton Antony Arockiasamy

Walden Dissertations and Doctoral Studies

Although there were almost 3.5 million reported information breaches of health care data in the first quarter of 2019, health care providers do not know the extent of digital and nondigital breaches of patient medical records. The purpose of this quantitative, comparative study was to identify the difference between the individual patient records affected by digital versus nondigital breaches for three types of health care entities in the United States, health care providers, health care plans, and health care clearinghouses. Allman’s privacy regulation theory, the National Institute of Standards and Technology Privacy Framework, and ecological systems theory comprised the theoretical …

Neither “Post-War” Nor Post-Pregnancy Paranoia: How America’S War On Drugs Continues To Perpetuate Disparate Incarceration Outcomes For Pregnant, Substance-Involved Offenders, Becca S. Zimmerman

Pitzer Senior Theses

This thesis investigates the unique interactions between pregnancy, substance involvement, and race as they relate to the War on Drugs and the hyper-incarceration of women. Using ordinary least square regression analyses and data from the Bureau of Justice Statistics’ 2016 Survey of Prison Inmates, I examine if (and how) pregnancy status, drug use, race, and their interactions influence two length of incarceration outcomes: sentence length and amount of time spent in jail between arrest and imprisonment. The results collectively indicate that pregnancy decreases length of incarceration outcomes for those offenders who are not substance-involved but not evenhandedly -- benefitting white …

Medical Practitioners’ Intention To Use Secure Electronic Medical Records In Healthcare Organizations, Omar Enrique Sangurima

Walden Dissertations and Doctoral Studies

Medical practitioners have difficulty fully implementing secure electronic medical records (EMRs). Clinicians and medical technologists alike need to identify motivational factors behind secure EMR implementation to assure the safety of patient data. Grounded in the unified theory of acceptance and use of technology model, the purpose of this quantitative, correlational study was to examine the relationship between medical practitioners’ perceptions of performance expectancy, effort expectancy, social influence, facilitating conditions, and the intention to use secure EMRs in healthcare organizations. Survey data (N = 126) were collected from medical practitioners from the northeastern United States. The results of the multiple regression …

A Multicenter Mixed-Effects Model For Inference And Prediction Of 72-H Return Visits To The Emergency Department For Adult Patients With Trauma-Related Diagnoses, Ehsan Yaghmaei, Louis Ehwerhemuepha, William Feaster, David Gibbs, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

Objective

Emergency department (ED) return visits within 72 h may be a sign of poor quality of care and entail unnecessary use of healthcare resources. In this study, we compare the performance of two leading statistical and machine learning classification algorithms, and we use the best performing approach to identify novel risk factors of ED return visits.

Methods

We analyzed 3.2 million ED encounters with at least one diagnosis under “injury, poisoning and certain other consequences of external causes” and “external causes of morbidity.” These encounters included patients 18 years or older from across 128 emergency room facilities in the …

Cybersecurity Using Risk Management Strategies Of U.S. Government Health Organizations, Ian Cornelius Wilkinson

Walden Dissertations and Doctoral Studies

Seismic data loss attributed to cybersecurity attacks has been an epidemic-level threat currently plaguing the U.S. healthcare system. Addressing cyber attacks is important to information technology (IT) security managers to minimize organizational risks and effectively safeguard data from associated security breaches. Grounded in the protection motivation theory, the purpose of this qualitative multiple case study was to explore risk-based strategies used by IT security managers to safeguard data effectively. Data were derived from interviews of eight IT security managers of four U.S. government health institutions and a review of relevant organizational documentation. The research data were coded and organized to …

Strategies To Implement A Material Management Information System For Medical Device Recalls, Paul Leo Lafrance

Walden Dissertations and Doctoral Studies

Health care business executives lack strategies to implement material management information systems (MMIS) related to medical device recalls. Lacking sufficient MMIS, health care business executives face insufficient product tracking related to medical devices affecting operational efficiency. Grounded in the conceptual frameworks of the technology acceptance model and diffusion of innovation, the purpose of this qualitative single case study was to explore health care business executives’ strategies for implementing an MMIS related to medical device recalls. The participants were 6 health care executives who implemented an MMIS in an urban hospital in the northeast region of the United States. Data were …

Sustainable Building Certification In Healthcare And Patient Satisfaction, Brian Jay Goehner

Walden Dissertations and Doctoral Studies

Eco-friendly healthcare delivery concepts are becoming more accepted as hospital leaders seek to control energy costs, mitigate contributions to climate change, and preserve scarce resources. Leadership in Energy and Environmental Design (LEED) offers healthcare leaders a framework for designing and constructing sustainable facilities that meet efficiency goals. The purpose of this quantitative cross-sectional study was to build an understanding of whether LEED certification influences Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) ratings. Using complex systems theory as the framework, the research questions were focused on exploring if higher levels of LEED certification led to greater HCAHPS overall hospital …

Strategies Used In Ehealth Systems Adoption, Joshua Adams

Walden Dissertations and Doctoral Studies

Failure to adopt an interoperable eHealth system limits the accurate communication exchange of pertinent health-care-related data for diagnosis and treatment. Patient data are located in disparate health information systems, and the adoption of an interoperable eHealth system is complex and requires strategic planning by senior health care IT leaders. Grounded in DeLone and McLean’s information system success model, the purpose of this qualitative case study was to explore strategies used by some senior information technology (IT) health care leaders in the successful adoption of an eHealth system. The participants were 8 senior health care IT leaders in the eastern United …

Exploration Of Ehr Implementation Strategies: A Qualitative Study, Scot Eric Loerch

Walden Dissertations and Doctoral Studies

AbstractElectronic health record system implementations have a high failure rate when properly developed strategies are not used. These implementation failures affect healthcare workers and practitioners core roles through a lack of documentation practices, which decreases the quality of the care of the patients. Grounded in the technology acceptance model, the purpose of this qualitative multiple case study was to explore the strategies information technology systems engineers use for the implementation of Health Information Management Systems. The participants were 10 information technology systems engineers from three healthcare organizations in the greater Tennessee area. The data were collected through recorded participant interviews …

Evaluating The Impact Of Proactive Care Management With Idstrat, D.J. Donahue, Lauren Staples

Published and Grey Literature from PhD Candidates

This purpose of this study is to quantify potential cost savings and member care improvements as a result of engagement through BlueCross BlueShield of Tennessee’s (BCBST) Identification and Stratification (IDStrat) process. Commercial members engaged in clinical management that were identified through IDStrat were compared to commercial members identified through other means across several metrics including per-member, per-month (PMPM) cost and physician visits. Members identified by IDStrat experienced a statistically significant 7% greater reduction in costs after being engaged when compared with those identified by other methods. Members identified by IDStrat also experienced a significant reduction in emergency room visits after …

Inferring A Consensus Problem List Using Penalized Multistage Models For Ordered Data, Philip S. Boonstra, John C. Krauss

The University of Michigan Department of Biostatistics Working Paper Series

A patient's medical problem list describes his or her current health status and aids in the coordination and transfer of care between providers, among other things. Because a problem list is generated once and then subsequently modified or updated, what is not usually observable is the provider-effect. That is, to what extent does a patient's problem in the electronic medical record actually reflect a consensus communication of that patient's current health status? To that end, we report on and analyze a unique interview-based design in which multiple medical providers independently generate problem lists for each of three patient case abstracts …

Data-Driven Surgical Duration Prediction Model For Surgery Scheduling: A Case-Study For A Practice-Feasible Model In A Public Hospital, Kar Way Tan, Francis Ngoc Hoang Long Nguyen, Boon Yew Ang, Jerald Gan, Sean Shao Wei Lam

Research Collection School Of Computing and Information Systems

Hospitals have been trying to improve the utilization of operating rooms as it affects patient satisfaction, surgery throughput, revenues and costs. Surgical prediction model which uses post-surgery data often requires high-dimensional data and contains key predictors such as surgical team factors which may not be available during the surgical listing process. Our study considers a two-step data-mining model which provides a practical, feasible and parsimonious surgical duration prediction. Our model first leverages on domain knowledge to provide estimate of the first surgeon rank (a key predicting attribute) which is unavailable during the listing process, then uses this predicted attribute and …

Data-Driven Decision-Support For Process Improvement Through Predictions Of Bed Occupancy Rates, Kar Way Tan, Qi You Ng, Francis Ngoc Hoang Long Nguyen, Sean Shao Wei Lam

Research Collection School Of Computing and Information Systems

Managing bed utilization and ensuring the supply keeps up with the demand is not an easy task in a large public hospital with many medical disciplines. The bed managers who makes decisions on reserving and allocating beds centrally require high-dimensional data from several hospital information systems supporting emergency room, specialized clinics and bed management processes. In this work, we put together an automated process for cleaning, consolidating and integrating data from several hospital information systems to several reports required by the bed managers to analyse the bed occupancy situations across more than thirty medical disciplines. To prevent bed crunch situations …

Early Information Access To Alleviate Emergency Department Congestion, Anjee Gorkhali

Theses and Dissertations in Business Administration

Alleviating Emergency Department (ED) congestion results in shorter hospital stay which not only reduces the cost of medical procedure but also increase the hospital performance. Length of patient stay is used to determine the hospital performance. Organization Information Processing (OIPT) Theory is used to explain the impact of information access and availability on the information processing need and ability of a hospital. Technical devices such as RFID that works as “Auto Identification tags” is suggested to increase the information availability as well as the information processing capability of the hospitals. This study suggests that the OIPT needs to be further …

Ecological Determinants Of Respiratory Health: Examining Associations Between Asthma Emergency Department Visits, Diesel Particulate Matter, And Public Parks And Open Space In Los Angeles, California, Jason A. Douglas, Reginald S. Archer, Serena E. Alexander

Health Sciences and Kinesiology Faculty Articles

Los Angeles County (LAC) low-income communities of color experience uneven asthma rates, evidenced by asthma emergency department visits (AEDV). This has partly been attributed to inequitable exposure to diesel particulate matter (DPM). Promisingly, public parks and open space (PPOS) contribute to DPM mitigation. However, low-income communities of color with limited access to PPOS may be deprived of associated public health benefits. Therefore, this novel study investigates the AEDV, DPM, PPOS nexus to address this public health dilemma and inform public policy in at-risk communities. Optimized Hotspot Analysis was used to examine geographic clustering of AEDVs, DPM, and PPOS at the …

Estimating Variations In Metabolic Cost Within The Stride Cycle During Level And Uphill Walking, Arash Mohammadzadeh Gonabadi

UNO Student Research and Creative Activity Fair

Indirect calorimetry provides the average cost of a stride cycle and prevents from identifying which part of the gait cycle causes increased metabolic cost in patients, however, recent simulation methods allow estimating the time profile of metabolic cost within the stride cycle. In this study, we compare the estimations of the time profile of the metabolic cost of two simulation methods for level and uphill walking. We used kinematic, kinetic and electromyography data from level and uphill walking (one participant) to estimate the time profiles of metabolic cost using the muscle-level metabolic model of Umberger using electromyography and kinematic data …

Successful Strategies For Implementing Health Information Technology In Primary Care Practice, Samuel O. Otoo

Walden Dissertations and Doctoral Studies

Health information technology (HIT) owner-practitioners who adopt effective strategies for HIT implementation can improve primary facility care delivery and profitability. However, some HIT owner-practitioners have ineffective implementation strategies, so they have not realized the total revenue increases of more than 8%. Grounded in general systems theory, the purpose of this multiple case study was to explore successful strategies primary care practitioners (PCPs) use to implement HIT to improve primary facility care delivery and profitability. The participants included 6 owner-practitioners located in Queens County, NY, who successfully implemented HIT to improve facility care delivery and profitability. Data were collected through face-to-face …