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Dive into the research topics where Katherine K. Kim is active.

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Featured researches published by Katherine K. Kim.


American Journal of Public Health | 2002

Smoking Among Chinese Americans: Behavior, Knowledge, and Beliefs

Elena S. H. Yu; Edwin H. Chen; Katherine K. Kim; Sawsan Abdulrahim

Objectives. This report describes and examines factors significantly associated with smoking among Chinese Americans, using multiple logistic regression methods. Methods. We conducted a population-based survey (n = 644, age = 40-69 years) in Chicagos Chinatown using a Chinese questionnaire based on the National Health Interview Survey (NHIS). Results. Smoking prevalence was 34% for males and 2% for females. Some 93% of current smokers had smoked regularly for 10 or more years. Low education (odds ratio [OR] = 2.41; 95% confidence interval [CI] = 1.31, 4.46), use of a non-Western physician or clinic for health care (OR = 2.64; 95% CI = 1.46, 4.80), and no knowledge of early cancer warning signs and symptoms (OR = 2.52; 95% CI = 1.35, 4.70) were significantly associated with smoking among men. Conclusions. The male prevalence of smoking is higher than those reported in California, the NHIS, and the Behavioral Risk Factor Surveillance System (BRFSS); exceeds the rate for African Americans aged 18 years and older; is comparable with the rate for African American males aged 45 to 64 years; and is far above the Healthy People 2010 target goal of less than 12%. Multisite surveys and smoking cessation campaigns in Chinese are needed.


Cancer Nursing | 1999

Cervical cancer screening knowledge and practices among Korean-American women.

Katherine K. Kim; Elena S. H. Yu; Edwin H. Chen; JaeKyung Kim; Mary Kaufman; Joel Purkiss

Cervical cancer is one of the most common cancers of American women. The Papanicolaou (Pap) smear test for cervical screening is a widely used and effective means to reduce the morbidity and mortality rate from cervical cancer through early detection. Despite these benefits, many women have never been screened or are not screened at regular intervals. The purpose of this study was to examine cervical cancer screening knowledge and practices of Korean-American women. The sample consisted of 159 Korean-American women, 40 to 69 years of age. The 1987 Cancer Control Supplement questionnaire was translated into Korean and used to collect data. Twenty-six percent of the respondents never heard of the Pap smear test. Only 34% of respondents reported having had a Pap smear test for screening. The most frequently cited reason for not having had a Pap smear test was absence of disease symptoms. Results indicate that education and usual sources of health care were significant factors related to having heard of or having had a Pap smear test. The findings from this study have important implications for health practitioners and policy makers who serve this ethnic population.


Journal of the American Medical Informatics Association | 2014

pSCANNER: patient-centered Scalable National Network for Effectiveness Research

Lucila Ohno-Machado; Zia Agha; Douglas S. Bell; Lisa Dahm; Michele E. Day; Jason N. Doctor; Davera Gabriel; Maninder Kahlon; Katherine K. Kim; Michael Hogarth; Michael E. Matheny; Daniella Meeker; Jonathan R. Nebeker

This article describes the patient-centered Scalable National Network for Effectiveness Research (pSCANNER), which is part of the recently formed PCORnet, a national network composed of learning healthcare systems and patient-powered research networks funded by the Patient Centered Outcomes Research Institute (PCORI). It is designed to be a stakeholder-governed federated network that uses a distributed architecture to integrate data from three existing networks covering over 21 million patients in all 50 states: (1) VA Informatics and Computing Infrastructure (VINCI), with data from Veteran Health Administrations 151 inpatient and 909 ambulatory care and community-based outpatient clinics; (2) the University of California Research exchange (UC-ReX) network, with data from UC Davis, Irvine, Los Angeles, San Francisco, and San Diego; and (3) SCANNER, a consortium of UCSD, Tennessee VA, and three federally qualified health systems in the Los Angeles area supplemented with claims and health information exchange data, led by the University of Southern California. Initial use cases will focus on three conditions: (1) congestive heart failure; (2) Kawasaki disease; (3) obesity. Stakeholders, such as patients, clinicians, and health service researchers, will be engaged to prioritize research questions to be answered through the network. We will use a privacy-preserving distributed computation model with synchronous and asynchronous modes. The distributed system will be based on a common data model that allows the construction and evaluation of distributed multivariate models for a variety of statistical analyses.


Journal of the American Medical Informatics Association | 2014

Data governance requirements for distributed clinical research networks: triangulating perspectives of diverse stakeholders.

Katherine K. Kim; Dennis K. Browe; Holly C. Logan; Roberta Holm; Lori Hack; Lucila Ohno-Machado

There is currently limited information on best practices for the development of governance requirements for distributed research networks (DRNs), an emerging model that promotes clinical data reuse and improves timeliness of comparative effectiveness research. Much of the existing information is based on a single type of stakeholder such as researchers or administrators. This paper reports on a triangulated approach to developing DRN data governance requirements based on a combination of policy analysis with experts, interviews with institutional leaders, and patient focus groups. This approach is illustrated with an example from the Scalable National Network for Effectiveness Research, which resulted in 91 requirements. These requirements were analyzed against the Fair Information Practice Principles (FIPPs) and Health Insurance Portability and Accountability Act (HIPAA) protected versus non-protected health information. The requirements addressed all FIPPs, showing how a DRNs technical infrastructure is able to fulfill HIPAA regulations, protect privacy, and provide a trustworthy platform for research.


Medical Care | 2013

Development of a privacy and security policy framework for a multistate comparative effectiveness research network.

Katherine K. Kim; Deven McGraw; Laura Mamo; Lucila Ohno-Machado

Comparative effectiveness research (CER) conducted in distributed research networks (DRNs) is subject to different state laws and regulations as well as institution-specific policies intended to protect privacy and security of health information. The goal of the Scalable National Network for Effectiveness Research (SCANNER) project is to develop and demonstrate a scalable, flexible technical infrastructure for DRNs that enables near real-time CER consistent with privacy and security laws and best practices. This investigation began with an analysis of privacy and security laws and state health information exchange (HIE) guidelines applicable to SCANNER participants from California, Illinois, Massachusetts, and the Federal Veteran’s Administration. A 7-member expert panel of policy and technical experts reviewed the analysis and gave input into the framework during 5 meetings held in 2011–2012. The state/federal guidelines were applied to 3 CER use cases: safety of new oral hematologic medications; medication therapy management for patients with diabetes and hypertension; and informational interventions for providers in the treatment of acute respiratory infections. The policy framework provides flexibility, beginning with a use-case approach rather than a one-size-fits-all approach. The policies may vary depending on the type of patient data shared (aggregate counts, deidentified, limited, and fully identified datasets) and the flow of data. The types of agreements necessary for a DRN may include a network-level and data use agreements. The need for flexibility in the development and implementation of policies must be balanced with responsibilities of data stewardship.


Nursing Outlook | 2012

Exploration of the e-patient phenomenon in nursing informatics

Perry Gee; Deborah A. Greenwood; Katherine K. Kim; Susan L. Perez; Nancy Staggers; Holli A. DeVon

The availability of health information on the Internet has equalized opportunities for knowledge between patients and their health care providers, creating a new phenomenon called the e-patient. E-patients use technology to actively participate in their health care and assume higher levels of responsibility for their own health and wellness. This phenomenon has implications for nursing informatics research related to e-patients and potential collaboration with practitioners in developing a collective wisdom. Nursing informatics can use the data, information, knowledge, and wisdom (DIKW) framework to understand how e-patients and clinicians may achieve this collective wisdom. Nurse informaticists can use constructivism and Gadamerian hermeneutics to bridge each stage of this framework to illustrate the fundamentals of patient and clinician interactions and commonality of language to achieve a collective wisdom. Examining the e-patient phenomenon will help nurse informaticists evaluate, design, develop, and determine the effectiveness of information systems used by e-patients. The Internet can facilitate a partnership between the patient and clinician and cultivate a collective wisdom, enhanced by collaboration between nurse informatics and e-patients.


Journal of the American Medical Informatics Association | 2015

A System to Build Distributed Multivariate Models and Manage Disparate Data Sharing Policies: Implementation in the Scalable National Network for Effectiveness Research

Daniella Meeker; Xiaoqian Jiang; Michael E. Matheny; Claudiu Farcas; Michel D'Arcy; Laura Pearlman; Lavanya Nookala; Michele E. Day; Katherine K. Kim; Hyeoneui Kim; Aziz A. Boxwala; Robert El-Kareh; Grace M. Kuo; Frederic S. Resnic; Carl Kesselman; Lucila Ohno-Machado

Background Centralized and federated models for sharing data in research networks currently exist. To build multivariate data analysis for centralized networks, transfer of patient-level data to a central computation resource is necessary. The authors implemented distributed multivariate models for federated networks in which patient-level data is kept at each site and data exchange policies are managed in a study-centric manner. Objective The objective was to implement infrastructure that supports the functionality of some existing research networks (e.g., cohort discovery, workflow management, and estimation of multivariate analytic models on centralized data) while adding additional important new features, such as algorithms for distributed iterative multivariate models, a graphical interface for multivariate model specification, synchronous and asynchronous response to network queries, investigator-initiated studies, and study-based control of staff, protocols, and data sharing policies. Materials and Methods Based on the requirements gathered from statisticians, administrators, and investigators from multiple institutions, the authors developed infrastructure and tools to support multisite comparative effectiveness studies using web services for multivariate statistical estimation in the SCANNER federated network. Results The authors implemented massively parallel (map-reduce) computation methods and a new policy management system to enable each study initiated by network participants to define the ways in which data may be processed, managed, queried, and shared. The authors illustrated the use of these systems among institutions with highly different policies and operating under different state laws. Discussion and Conclusion Federated research networks need not limit distributed query functionality to count queries, cohort discovery, or independently estimated analytic models. Multivariate analyses can be efficiently and securely conducted without patient-level data transport, allowing institutions with strict local data storage requirements to participate in sophisticated analyses based on federated research networks.


Cancer Nursing | 2017

A Systematic Review of Emergency Department Use Among Cancer Patients.

Rebecca Salisbury Lash; Janice F. Bell; Sarah C. Reed; Hermine Poghosyan; James Rodgers; Katherine K. Kim; Richard J. Bold; Jill G. Joseph

Background: Recent reports call for reductions in costly and potentially avoidable services such as emergency department (ED) visits. Providing high-quality and safe care for oncology patients remains challenging for ED providers given the diversity of patients seeking care and the unpredictable clinical environment. While ED use by oncology patients is appropriate for acute health concerns, some ED visits may be preventable with well-coordinated care and adequate symptom management. Objective: The aim of this study was to summarize available evidence regarding the incidence, predictors of, and reasons for ED visits among oncology patients. Methods: Keyword/MeSH term searches were conducted using 4 online databases. Inclusion criteria were publication date between April 1, 2003, and December 5, 2014; sample size of 50 or more; and report of the incidence or predictors of ED use among oncology patients. Results: The 15 studies that met criteria varied in study aim, design, and time frames for calculating ED utilization rates. The incidence of ED visits among oncology patients ranged from 1% to 83%. The 30-day standardized visit rate incidence ranged from 1% to 12%. Collectively, the studies lack population-based estimates for all cancers combined. Conclusions: The studies included in this review suggest that rates of ED use among cancer patients exceed those of the general population. However, the extent of ED use by oncology patients and the reasons for ED visits remain understudied. Implications for Practice: Nurses are involved in the treatment of cancer, patient education, and symptom management. Nurses are well positioned to develop patient-centered treatment and care coordination plans to improve quality of care and reduce ED visits.


Oncology Nursing Forum | 2017

Systematic Review of Hospital Readmissions Among Patients With Cancer in the United States

Janice F. Bell; Robin L. Whitney; Sarah C. Reed; Hermine Poghosyan; Rebecca Salisbury Lash; Katherine K. Kim; Andra Davis; Richard J. Bold; Jill G. Joseph

Purpose/Objectives: To review the existing literature on readmission rates, predictors, and reasons for readmission among adults with cancer. Data Sources: U.S.‐based empirical studies reporting readmission rates from January 2005 to December 2015 were identified using four online library databases—PubMed, CINAHL®, EconLit, and the online bibliography of the National Cancer Institute’s Surveillance Epidemiology and End Results Program. Some articles were identified by the authors outside the database and bibliography searches. Data Synthesis: Of the 1,219 abstracts and 271 full‐text articles screened, 56 studies met inclusion criteria. The highest readmission rates were observed in patients with bladder, pancreatic, ovarian, or liver cancer. Significant predictors of readmission included comorbidities, older age, advanced disease, and index length of hospital stay. Common reasons for readmission included gastrointestinal and surgical complications, infection, and dehydration. Conclusions: Clinical efforts to reduce the substantial readmission rates among adults with cancer may target high‐rate conditions, infection prevention, proactive management of nausea and vomiting, and nurse‐led care coordination interventions for older adult patients with multiple comorbid conditions and advanced cancer. Implications for Nursing: Commonly reported reasons for readmission were nursing‐sensitivepatient outcomes (NSPOs), amenable to nursing intervention in oncology settings. These findings underscore the important role oncology nurses play in readmission prevention by implementing evidence‐based interventions to address NSPOs and testing their impact in future research.


collaboration technologies and systems | 2014

A novel personal health network for patient-centered chemotherapy care coordination

Katherine K. Kim; Janice F. Bell; Sarah C. Reed; Jill G. Joseph; Richard J. Bold; Kimberlie Louise Cerrone; Daniel Altobello; Joydip Homchowdhury

Cancer is the second leading cause of death in the United States. Cancer care is a complex and complicated process involving diverse practitioners, multiple specialists, and a range of inpatient, outpatient, and home care services with numerous transitions for the patients. Cancer patients undergoing chemotherapy are at risk of unplanned emergency visits and hospitalizations and can benefit from care coordination. There are few examples of systems that fully engage patients, family and caregivers along with clinicians and other care resources to collaboratively coordinate chemotherapy. This paper reports on the development of a prototype “personal health network” (PHN) using social networking technology to support patient-centered chemotherapy care coordination in a comprehensive cancer center. Requirements for the prototype were generated by analyzing two frameworks, the cancer continuum framework and the framework for information technology in care coordination, and reviewing the literature on self-management and care coordination. The resulting requirements were implemented and reviewed with a trans-disciplinary team of clinicians and researchers. The PHN was found to fulfill the key requirements identified through the analysis of frameworks. A prototype was built rapidly and reviewed by an internal trans-disciplinary team. The refined prototype will be field tested with patients and nurse care coordinators to assess usefulness and usability in preparation for a larger scale clinical trial.

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Jill G. Joseph

University of California

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Janice F. Bell

University of California

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Andra Davis

Hennepin County Medical Center

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Sant P. Chawla

University of Texas MD Anderson Cancer Center

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Erlinda M. Gordon

University of Southern California

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