Kimberly Denise Shea

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Scholarly Contributions

Books

• Adams, M. H., Showalter, D., & Shea, K. D. (2019). Applied clinical informatics: For nurses. Burlington, MA: Jones & Bartlett Learning..

Chapters

• Adams, M. H., Showalter, D., & Shea, K. D. (2019). Telehealth Nursing. In Applied clinical informatics for nurses(pp 192-204). Burlington, MA: Jones & Bartlett Learning.

Journals/Publications

• Finley, B. A., Shea, K. D., Gallagher, S. P., Palitsky, R., & Gauvin, J. (2023).

  A Theoretical Framework for Conducting Psychiatric Mental Health Nursing Virtual Care & Research

  . Issues in Mental Health Nursing, 44(10), 1002-1008. doi:10.1080/01612840.2023.2258213
• Garcia, D. O., Sun, X., Shea, K. D., Sanderson, P. R., Barra, K., Villavicencio, E., & Godfrey, T. M. (2022). Advancing Liver Cancer Prevention for American Indian Populations in Arizona: An Integrative Review. International Journal of Environmental Research and Public Health, 19(6), 1.
• Bethel, C., Crist, J. D., Shea, K., Silva, G. E., & Towers, V. (2021).

  A Guide for Intentional Home Telehealth Assessment: Patient and Caregiver Perceptions.

  . Computers, informatics, nursing : CIN, 39(12), 943-947. doi:10.1097/cin.0000000000000779
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  Telehealth can provide expanded access to healthcare. The Comprehensive Patient Assessment for Using Telehealth at Home is a comprehensive approach for an intentional remote patient meeting that provides a high-quality patient encounter when using technology. In this study, we describe the perspectives of seriously ill older adults and their caregivers on the usability of the Comprehensive Patient Assessment for Using Telehealth at Home using technology to meet remotely and assess patients in their own homes. This study used qualitative description with semistructured interviews to explore participants' user experience of the telehealth visit using the Comprehensive Patient Assessment for Using Telehealth at Home. The overarching theme of participants' experiences with the Comprehensive Patient Assessment for Using Telehealth at Home intervention was of a continuum of acceptance of technology use. Participants felt that a combination of in-person and telehealth visits was ideal, and telehealth visits were appropriate for routine visits. In-person assessments would be necessary if the communication was not adequately received through remote technology. Other themes were satisfaction and detractors, usability of the technology, privacy and confidentiality, and timing of the telehealth visit. Telehealth presents new opportunities for patients to engage and connect with providers, allowing them to seek care in the comfort of their own home. In some circumstances, telehealth is appropriate but is not a permanent replacement for in-person visits.
• Finley, B. A., & Shea, K. D. (2021). Telehealth: Disrupting Time for Health Care Quantity and Quality. Nursing administration quarterly, 43(3), 256-262.
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  Telehealth, defined simply as the delivery of health care services over a distance by using telecommunication technology, has become one of the most disruptive innovations in modern health care. This article explores the history and impact telehealth has had on provider and consumer supply and demand for time, becoming a widely adopted technological health care service delivery model that has demonstrated significant benevolent contributions to the health care industry and the patients it serves.
• Gephart, S. M., Newnam, K., Shea, K., Weiss, A., & Wyles, C. (2021).

  Feasibility and Acceptability of a Neonatal Project ECHO (NeoECHO) as a Dissemination and Implementation Strategy to Prevent Necrotizing Enterocolitis

  . Worldviews on Evidence-Based Nursing, 18(6), 361-370. doi:10.1111/wvn.12529
• Koon, M., Shea, K. D., Silva, G., & Towers, V. (2021).

  Development of an Intentional Telehealth Viewing Guide for Home-Based Patient Assessment

  . Telemedicine Reports, 2(1), 32-38. doi:10.1089/tmr.2020.0017
• Shea, K. M., Walker, S. L., Shea, K., Holland, S., Crist, J. D., & Cacchione, P. Z. (2021). The Lived Experience of Persons With Malignant Pleural Mesothelioma in the United States.. Cancer Nursing, 44(2), E90-E98. doi:10.1097/ncc.0000000000000770
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  Malignant pleural mesothelioma (MPM) is a rare but deadly cancer. Although there is an emerging picture of the individual MPM experience, the United States is underrepresented in this literature. With the United States contributing more deaths from MPM than any other country, findings from this study will enhance a global body of literature on the lived experience of this devastating cancer..The aims of this descriptive phenomenological research study were to explore the lived experience of MPM in the United States and identify unmet patient needs..This was a descriptive phenomenology study employing semi-structured individual interviews with persons with MPM..A total of 7 persons with MPM from a large northeastern US medical center participated. Three major themes about the MPM lived experience emerged: (1) uncertainty/worry about the future, (2) value in relationships, and (3) adapting to a new norm..Findings from this study are consistent with other MPM research, noting a high symptom burden, lifestyle changes, and feelings of uncertainty about the future. However, participants also expressed feelings of hope and optimism. Particularly salient to the MPM experience was the role of communication with the healthcare team as well as other persons with MPM..Timely, coordinated, and personalized care as well as skilled communication should be the cornerstone of care for persons with MPM. Supportive care strategies that address uncertainty, the high symptom burden, feelings of isolation, and existential concerns are also integral to quality care.
• Slebodnik, M., Shea, K. D., Maixner, R., & Finley, B. A. (2021). Advanced Practice Registered Nurses Using Synchronous Telepsychiatry: An Integrative Systematic Review.. Journal of the American Psychiatric Nurses Association, 27(4), 271-282. doi:10.1177/1078390320939159
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  BACKGROUND: Despite wide-spread use, telepsychiatry use among psychiatric mental health advanced practice nurse practitioners (PMH APRNs) has not been systematically explored in the literature. AIMS: Systematically review the PMH APRN usage of live-time, synchronous telepsychiatry including audiovisual teleconferencing technology. METHOD: A comprehensive, systematic search was performed with no publication date restriction across CINAHL, the Cochrane Library, Embase, Google Scholar, PsycINFO, PubMed, Scopus, and Web of Science on July 30, 2019, by a medical librarian. Each citation was blinded and independently reviewed by three reviewers, and consensus was reached for inclusion. Eligible articles were peer-reviewed research or quality improvement articles available in full-text, written in English, including real-time, synchronous, audiovisual telepsychiatry services with PMH APRN providers. Discussion articles and literature reviews were excluded. Article quality and bias were assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) assessment tool. RESULTS: The search yielded a total of 342 articles, and only nine articles met full inclusion criteria. Overall, risk of bias was high in all studies, and the GRADE rating consisted of three "very low," five "low," and one "medium" quality article. However, considering the collectively positive outcomes from PMH APRN telepsychiatry use, the overall GRADE recommendation was to "probably do it" for seven studies and "do it" for two studies. CONCLUSIONS: Though existent literature is low quality and sparse, evidence supports that PMH APRNs can feasibly and successfully provide telepsychiatry services across a wide range of demographic patients and locations. PMH APRNs should contribute more original evidence to guide telepsychiatry implementation and adoption as the service expands.
• Crist, J. D., Ortiz-Dowling, E. M., Phillips, L. R., & Shea, K. (2020).

  Gender Differences in End-of-Life Care in Older Mexican American Adults

  . Journal of Palliative Care, 35(4), 256-266. doi:10.1177/0825859720907419
• Finley, B., Shea, K. D., Maixner, R., & Slebodnick, M. (2020). Advanced Practice Registered Nurses Using Synchronous Telepsychiatry: An Integrative Systematic Review. Journal of the American Psychiatric Nurses Association. doi:10.1177/1078390320939159
• Gephart, S. M., Newnam, K., Weiss, A., Wyles, C., & Shea, K. D. (2020). Feasibility and Acceptability of a Neonatal Project ECHO as a Dissemination and Implementation Strategy to Prevent Necrotizing Enterocolitis. Worldviews in Evidence based Nursing.
• Loescher, L. J., Knight, E. D., Shea, K. D., & Stratton, D. B. (2020). Delivering clinical skin examination education to nurse practitioners using an Internet-based, microlearning approach: Development and feasibility of a video intervention. 2020.. JMIR Dermatology, 3(1), e16714.
• Phillips, L. R., Shea, K. D., Crist, J. D., & Dowling, E. M. (2020). Gender Differences in End-of-Life Care in Older Mexican American Adults. Journal of Palliative Care, 35(4), 256-266. doi:10.1177/0825859720907419
• Shea, K. D., Crist, J. D., Dowling, E. M., & Phillips, L. R. (2020). Informal Institutional Policy that may Influence End-of-Life Discussions with Mexican Americans: What We Know, What We Don’t. Arizona Geriatrics Society Journal.
• Shea, K. D., Silva Torres, G. E., Towers, V., & Koon, M. (2021). Development of an Intentional Telehealth Viewing Guide for Home-Based Patient Assessment.. Telemedicine Reports.
• Steinheiser, M., Crist, J. D., & Shea, K. D. (2020). Compassion fatigue among registered nurses working in skilled nursing facilities. Research in Gerontological Nursing.
• Stenheiser, M., Shea, K. D., & Crist, J. D. (2020). Compassion fatigue among registered nurses working in skilled nursing facilities. Research in Gerontological Nursing.
• Vasquez, A., Shea, K., Sanchez-reilly, S. E., & Cheung, K. L. (2020). Breaking Access and Distance Barriers: Using Innovative Modalities of Tele-Palliative Care (TH364). Journal of Pain and Symptom Management, 59(2), 435. doi:10.1016/j.jpainsymman.2019.12.092
• Crist, J. D., Liu, J., Shea, K. D., Peterson, R. L., Martin-Plank, L., Lacasse, C. L., May, J. T., Wyles, C. L., Williams, D. K., Slebodnik, M., Heasley, B. J., & Phillips, L. R. (2019). "Tipping point" concept analysis in the family caregiving context. Nursing forum, 54(4), 582-592.
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  Analyze the concept "tipping point" in the older adult family caregiving context to further knowledge about caregiving families, enhancing transdisciplinary theory, research, and practice.
• Crist, J. D., Shea, K. D., Peterson, R. L., Martin Plank, L. M., Lacasse, C. L., May, J. L., Wyles, C. L., Williams, D. K., Slebodnik, M. B., Heasley, B. J., & Phillips, L. R. (2019). Tipping Point Concept Analysis in the Family Caregiving Context. Nursing Forum.
• Dowling, E. M., Crist, J. D., Shea, K. D., & Phillips, L. R. (2020). Gender Differences in End-of-Life Care in Older Mexican American Adults. Journal of Palliative Care.
• Effken, J. A., Garcia-smith, D., Kang, Y., Mcewen, M. M., Shea, K. M., Shea, K., Vincent, D., & Young, M. (2019).

  Application and evaluation of the ecological psychology approach to instructional design (EPAID)

  . Journal of asynchronous learning networks, 13(4), 41-56. doi:10.24059/olj.v13i4.1647
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  Teaching online can be particularly challenging when there is a need to immerse students located anywhere in the world in specific environmental contexts. We used the Ecological Psychology Approach to Instructional Design (EPAID) to design four courses in two concentration areas (Border Health, and Workforce and Healthcare Delivery Environments). In each case, we sought to provide students with a virtual first-hand understanding of contexts that they would not experience themselves. In this paper, we describe the major tenets of EPAID, the strategies we used to apply EPAID in the courses, and the results of our initial, formative evaluation.
• Finley, B. A., & Shea, K. D. (2019). Telehealth: Disrupting healthcare quantity and quality. Nursing Administration Quarterly, 3(43), 256-262. doi:https://doi.org/10.1097/NAQ.0000000000000357
• Phillips, L. R., Crist, J. D., Shea, K. D., Dowling, E. M., Dowling, E. M., Shea, K. D., Crist, J. D., & Phillips, L. R. (2019). Knowledge gaps about end-of-life decision-making among Mexican America older adults and their family caregivers. Journal of Transcultural Nursing, 30(4), 380-393. doi:https://doi: 10.1177/1043659618812949
• Phillips, L. R., Phillips, L. R., Heasley, B. J., Heasley, B. J., Slebodnik, M. B., Slebodnik, M. B., Williams, D. K., Williams, D. K., Wyles, C. L., Wyles, C. L., May, J. L., May, J. L., Lacasse, C. L., Lacasse, C. L., Martin Plank, L. M., Martin Plank, L. M., Peterson, R. L., Peterson, R. L., Shea, K. D., , Shea, K. D., et al. (2019). Tipping Point Concept Analysis in the Family Caregiving Context. Nursing Forum, 54(3), 10. doi:DOI: 10.1111/nuf.12373
• Phillips, L. R., Shea, K. M., Shea, K. D., Plank, L. M., Phillips, L. R., Peterson, R. L., Liu, J., Heasley, B., & Crist, J. D. (2019). USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS. Innovation in Aging, 3(Supplement_1), S598-S598. doi:10.1093/geroni/igz038.2220
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  Abstract It is desirable to assess older adults’ health status from their routine activities, identify tipping points based on quantitative metrics, and evaluate the potential risks. Such assessments based on infrequently measured, traditional physical performance instruments fall short of sensitivity as well as reliability. In this research, we investigate multiple types of data collected continuously from older adults wearing fitness watches, which are equipped with various wearable wireless sensors. We develop a methodology to fuse the information from multivariate data streams and define a new synthesized metric to detect significant physiological transitions that lead to tipping points. Both sensitivity- and robustness-analysis are conducted to evaluate the risks of miss-detection and false alarm. The detection results are cross-validated by the self-reported data from daily diaries and questionnaires.
• Shea, K., & Shea, K. D. (2019). THE TIPPING POINT STUDY: DIGITAL DETECTION AND DECISION SUPPORT FOR OLDER ADULTS AND FAMILIES. Innovation in Aging, 3(Supplement_1), S597-S597. doi:10.1093/geroni/igz038.2217
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  Abstract In 10 years, the United States will experience a “dependency” ratio of one working age adult (20-64 years old) to one non-working person (> 65 or 85 years old will comprise 19 million of the non-working people (US Census Bureau, 2008). Busy working adults will have to be vigilant to determine when to make life-changing decisions about health and safety issues for people that depend on them. Older adults have gradual and cumulative physical and/or psychological aging changes or can experience significant events. Knowing when to make a life-changing decision, such as when to intervene with independent living due to safety risks, is difficult even when situations have constant vigilance. Eventually, older adults experience a seemingly abrupt, sudden and absolute point where a life changing decision must be made. This is the Tipping Point. Health data, derived from unobtrusive wearable sensors, are algorithmically synthesized to provide critical information on impending concerns via an electronic portal will help the busy working adult to predict and prevent the Tipping Point. This application of precision health care results in targeted and personalized education thus avoiding a potentially catastrophic Tipping Point. This symposium provides insight into five aspects of the Tipping Point: 1) significance of identification, 2) theoretical foundation for environmental and cultural sensitivity, 3) feasibility outcomes from a Mexican American population, 4) methodology for synthesizing quantitative metrics from multivariate streams of data, 5) creation of a culturally sensitive electronic portal to display predictive information and education about consequences
• Walker, S. L., Crist, J. D., Shea, K., Holland, S., & Cacchione, P. Z. (2019). The Lived Experience of Persons With Malignant Pleural Mesothelioma in the United States. Cancer nursing.
  More info

  Malignant pleural mesothelioma (MPM) is a rare but deadly cancer. Although there is an emerging picture of the individual MPM experience, the United States is underrepresented in this literature. With the United States contributing more deaths from MPM than any other country, findings from this study will enhance a global body of literature on the lived experience of this devastating cancer.
• Crist, J. D., Ortiz-Dowling, E. M., Phillips, L. R., & Shea, K. D. (2018).

  Knowledge Gaps About End-of-Life Decision Making Among Mexican American Older Adults and Their Family Caregivers: An Integrative Review

  . Journal of Transcultural Nursing, 30(4), 380-393. doi:10.1177/1043659618812949
• Gephart, S., Davis, M., & Shea, K. D. (2018). Perspectives on Policy and the Value of Nursing Science in a Big Data Era.. Nursing Science Quarterly, 31(1), 78-81.
• Phillips, L. R., Lacasse, C., Shea, K. D., Phillips, L. R., Lacasse, C., Crist, J. D., & Bristol, A. A. (2018). Family Caregivers' Experiences of Within-Hospital Handoffs for Older Adults in Acute Care.. Journal of Nursing Care Quality, 33(4), 368-374. doi:10.1097/ncq.0000000000000306
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  Family caregivers' experiences during within-hospital handoffs between acute care units are not well understood. Qualitative description methodology was employed to describe family caregivers' experiences during their loved ones' handoffs. Semistructured interviews were conducted with 10 caregivers of hospitalized older adults. Three themes emerged: Lack of care coordination, Muddling through handoffs alone, and Wariness toward the care delivery system. Findings can help clinicians shape their interactions with caregivers to maximize their involvement in post-hospital care.
• Phillips, L. R., Shea, K. D., Dowling, E. M., & Crist, J. D. (2018). Knowledge Gaps about End-of-Life Decision-Making among Mexican American Older Adults and their Family Caregivers: An Integrative Review. Journal of Transcultural Nursing, 1-14. doi:https://doi.org/10.1177/1043659618812949
• Phillips, L. R., Shea, K. D., Dowling, E. M., & Crist, J. D. (2018). Knowledge Gaps about End-of-Life Decision-Making among Mexican American Older Adults and their Family Caregivers: An Integrative Review. Journal of Transcultural Nursing, 30(4), 380-393. doi:https://doi.org/10.1177/1043659618812949
• Shea, K. D., Brewer, B. B., Carrington, J. M., Davis, M. P., & Rosenfeld, A. (2019). A model to evaluate data science in nursing doctoral curricula. Nursing Outlook. doi:doi:10.1016/j.outlook.2018.10.007
• Solien, J., Shea, K., Pucko, J., Powell, R. J., Koon, M., & Henning, N. E. (2018). Improving End-of-Life Quality Through the Implementation and Testing of a Ketamine Protocol for Reduction of Depression and Pain (TH308A). Journal of Pain and Symptom Management, 55(2), 561-562. doi:10.1016/j.jpainsymman.2017.12.009
• Carrington, J. M., Tiase, V. L., Estrada, N., & Shea, K. D. (2013). Nursing education focus of nursing informatics research in 2013. Nursing administration quarterly, 38(2), 189-91.
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  The Nursing Informatics Year in Review 2013 revealed an increase in publications associated with nursing education. Specifically, the articles addressed technology in nursing curricula, use of technology to teach nursing education, and use of technology to form collaborative relationships. In this article we present questions such as: how do these programs assist student nurses to transition to nurse providers where technology is infused into their work and workflow and what is the influence of the collaborative relationships with nurse educators, administrators, and informatics specialists increase patient safety and quality.
• Carrington, J. M., Tiase, V. L., Estrada, N., & Shea, K. D. (2014). Research in nursing informatics 2014. Nursing administration quarterly, 39(2), E9-E16.
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  This article reflects the work done in the third year of the Nursing Informatics Year in Review project. This project seeks to search and analyze articles written by nurses as first author on the subject of nursing informatics, published August 2013-August 2014. Each year we also seek recommended articles from our American Medical Informatics Association-Nursing Informatics Work Group (AMIA-NIWG) members that meet the same criteria as the search and most influenced their thinking and scholarship. Twenty-seven articles emerged from the literature review, and our AMIA-NIWG members recommended 32 articles. We analyzed the articles by journal of publication, country of first author, source of funding, research method, research setting, and area of focus. The purpose of this article was to present the results of this project for 2014.
• Davis, M., Gephart, S. M., & Shea, K. (2017).

  Perspectives on Policy and the Value of Nursing Science in a Big Data Era

  . Nursing Science Quarterly, 31(1), 78-81. doi:10.1177/0894318417741122
• Knight, E. P., Shea, K., Rosenfeld, A. G., Schmiege, S., Hsu, C. H., & DeVon, H. A. (2016). Symptom Trajectories After an Emergency Department Visit for Potential Acute Coronary Syndrome. Nursing Research, 65(4), 268-78.
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  Many patients evaluated for acute coronary syndrome (ACS) in emergency departments (EDs) continue to experience troubling symptoms after discharge-regardless of their ultimate medical diagnosis. However, comprehensive understanding of common post-ED symptom trajectories is lacking.
• Price, L. E., Shea, K., & Gephart, S. (2015). The Veterans Affairs's Corporate Data Warehouse: Uses and Implications for Nursing Research and Practice. Nursing administration quarterly, 39(4), 311-8.
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  The Department of Veterans Affairs Veterans Healthcare Administration (VHA) is supported by one of the largest integrated health care information systems in the United States. The VHA's Corporate Data Warehouse (CDW) was developed in 2006 to accommodate the massive amounts of data being generated from more than 20 years of use and to streamline the process of knowledge discovery to application. This article describes the developments in research associated with the VHA's transition into the world of Big Data analytics through CDW utilization. The majority of studies utilizing the CDW also use at least one other data source. The most commonly occurring topics are pharmacy/medications, systems issues, and weight management/obesity. Despite the potential benefit of data mining techniques to improve patient care and services, the CDW and alternative analytical approaches are underutilized by researchers and clinicians.
• Shea, K., & Effken, J. A. (2008). Enhancing patients' trust in the virtual home healthcare nurse. Computers, informatics, nursing : CIN, 26(3), 135-41.
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  Typically, patients develop trusting relationships with their nurses through a variety of face-to-face, often hands-on, interpersonal interactions that convey the nurse's ability, integrity, and benevolence. However, in telehome care, face-to-face interaction is limited, so nurses must learn to use different strategies to convey those professional characteristics that promote patients' trust. This study explores the nature of trust and the way it develops, and suggests strategies that can be used by telehome care nurses to counter any barriers to trust imposed by the technology.
• Carrington, J. M., Tiase, V., Estrada, N., Shea, K. D., Dudding, K. M., Finley, B. A., Nibbelink, C., Rasmussen, R. J., & Roberts, M. L. (2016). Nursing Informatics Research and Emerging Trends in 2015. Computers, informatics, nursing : CIN, 34(7), 284-6.
• Tiase, V. L., Shea, K. D., Estrada, N., & Carrington, J. M. (2015). Research in nursing informatics 2014.. Nursing administration quarterly, 39(2), E9-E16. doi:10.1097/naq.0000000000000098
  More info

  This article reflects the work done in the third year of the Nursing Informatics Year in Review project. This project seeks to search and analyze articles written by nurses as first author on the subject of nursing informatics, published August 2013-August 2014. Each year we also seek recommended articles from our American Medical Informatics Association-Nursing Informatics Work Group (AMIA-NIWG) members that meet the same criteria as the search and most influenced their thinking and scholarship. Twenty-seven articles emerged from the literature review, and our AMIA-NIWG members recommended 32 articles. We analyzed the articles by journal of publication, country of first author, source of funding, research method, research setting, and area of focus. The purpose of this article was to present the results of this project for 2014.
• Knight, E. P., & Shea, K. (2014). A patient-focused framework integrating self-management and informatics. Journal of Nursing Scholarship, 46(2), 91-97.
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  Abstract: Purpose: This article introduces a framework to (a) guide chronic illness self-management interventions through the integration of self-management and nursing informatics, (b) focus self-management research, and (c) promote ethical, patient-empowering technology use by practicing nurses. Methods: Existing theory and research focusing on chronic illness, self-management, health-enabling technology, and nursing informatics were reviewed and examined and key concepts were identified. A care paradigm focusing on concordance, rather than compliance, served as the overall guiding principle. Findings: This framework identifies key relationships among self-management (patient behaviors), health force (patient characteristics), and patient-defined goals. The role of health-enabling technology supporting these relationships is explored in the context of nursing informatics. Conclusions: The Empowerment Informatics framework can guide intervention design and evaluation and support practicing nurses' ethical use of technology as part of self-management support. Clinical Relevance: Nurses worldwide provide support to patients who are living with chronic illnesses. As pressures related to cost and access to care increase, technology-enabled self-management interventions will become increasingly common. This patient-focused framework can guide nursing practice using technology that prioritizes patient needs. © 2013 Sigma Theta Tau International.
• Knight, E. P., & Shea, K. (2014). A patient-focused framework integrating self-management and informatics. Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 46(2), 91-7.
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  This article introduces a framework to (a) guide chronic illness self-management interventions through the integration of self-management and nursing informatics, (b) focus self-management research, and (c) promote ethical, patient-empowering technology use by practicing nurses.
• Tiase, V. L., Shea, K. D., Estrada, N., & Carrington, J. M. (2014). Nursing education focus of nursing informatics research in 2013.. Nursing Administration Quarterly, 38(2), 189-91. doi:10.1097/naq.0000000000000024
  More info

  The Nursing Informatics Year in Review 2013 revealed an increase in publications associated with nursing education. Specifically, the articles addressed technology in nursing curricula, use of technology to teach nursing education, and use of technology to form collaborative relationships. In this article we present questions such as: how do these programs assist student nurses to transition to nurse providers where technology is infused into their work and workflow and what is the influence of the collaborative relationships with nurse educators, administrators, and informatics specialists increase patient safety and quality.
• Knight, E. P., & Shea, K. (2013).

  A Patient-Focused Framework Integrating Self-Management and Informatics: Self-Management and Informatics

  . Journal of Nursing Scholarship, 46(2), 91-97. doi:10.1111/jnu.12059
• Loescher, L. J., Janda, M., Soyer, H. P., Shea, K., & Curiel-Lewandrowski, C. (2013). Advances in skin cancer early detection and diagnosis. Seminars in Oncology Nursing, 29(3), 170-181.
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  PMID: 23958215;Abstract: Objectives: To provide an overview of 1) traditional methods of skin cancer early detection, 2) current technologies for skin cancer detection, and 3) evolving practice models of early detection. Data Sources: Peer-reviewed databased articles and reviews, scholarly texts, and Web-based resources. Conclusion: Early detection of skin cancer through established methods or newer technologies is critical for reducing both skin cancer mortality and the overall skin cancer burden. Implications for Nursing Practice: A basic knowledge of recommended skin examination guidelines and risk factors for skin cancer, traditional methods to further examine lesions that are suspicious for skin cancer and evolving detection technologies can guide patient education and skin inspection decisions. © 2013 Elsevier Inc.
• Loescher, L. J., Janda, M., Soyer, H. P., Shea, K., & Curiel-Lewandrowski, C. (2013). Advances in skin cancer early detection and diagnosis. Seminars in oncology nursing, 29(3), 170-81.
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  To provide an overview of 1) traditional methods of skin cancer early detection, 2) current technologies for skin cancer detection, and 3) evolving practice models of early detection.
• Shea, K., & Chamoff, B. (2012). Telehomecare Communication and Self-Care in Chronic Conditions: Moving Toward a Shared Understanding. Worldviews on Evidence-Based Nursing, 9(2), 109-116.
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  PMID: 22409374;PMCID: PMC3336008;Abstract: Background: Remote telemonitoring of patients' vital signs is a rapidly increasing practice. Although methods of communication in remote electronic monitoring differ from those in traditional home health care, the understanding shared by the nurse, patient, and family members remains the same: patients' self-care behaviors affect exacerbations of chronic health conditions. The purpose of this paper is to examine the relationship between communication and information integration into the daily lives of patients with chronic illnesses and offer best practice recommendations for telehomecare nurses (THN). Methods: The original study used the Social Relations Model to examine relationships within 43 triads composed of patients with chronic conditions, home helpers, and their nurse involved in telehomecare at three Veterans Health Administration sites. This secondary descriptive and correlational analysis compared 43 patients' and nine THNs' ratings of themselves and each other on communication (frequency, timeliness, and understanding) and the use of patients' daily telemonitored information. Results: There was almost no correlation between patients' perception of THNs' communication (frequency [r= 0.05], timeliness [r= 0.09], and understandability [r= 0.03]) and patients' integration of information into daily health practices. However, significant correlations were found between the THNs' perception of patients' communication frequency and timeliness, and integration, (p= 0.02; p < 0.001) respectively. Conclusions: This study suggests that frequent phone communication may lead the remote THN to believe patients are integrating blood pressure, weight, and other information into daily self-care behaviors, when in fact the patient reports that they are not. The influence of a halo effect on the THN may cloud an accurate perception of what is actually occurring. Remote communication may require more attention to THNs educating patients about shared understandings when using telemonitoring. Best practices for THN should include explicit goals and intentions for telemonitored home care with individualized instructions about how to use the information for self-care. © 2011 Sigma Theta Tau International.
• Shea, K., & Chamoff, B. (2012). Telehomecare communication and self-care in chronic conditions: moving toward a shared understanding. Worldviews on evidence-based nursing, 9(2), 109-16.
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  Remote telemonitoring of patients' vital signs is a rapidly increasing practice. Although methods of communication in remote electronic monitoring differ from those in traditional home health care, the understanding shared by the nurse, patient, and family members remains the same: patients' self-care behaviors affect exacerbations of chronic health conditions. The purpose of this paper is to examine the relationship between communication and information integration into the daily lives of patients with chronic illnesses and offer best practice recommendations for telehomecare nurses (THN).
• Chamoff, B., & Shea, K. (2011).

  Patient Reactions to Vital Sign Measures: Comparing Home Monitoring Technology to Face-to-Face Delivery

  . Home Health Care Management & Practice, 23(6), 454-460. doi:10.1177/1084822311411565
• Richard, A. A., & Shea, K. (2011). Delineation of Self-Care and Associated Concepts. Journal of Nursing Scholarship, 43(3), 255-264.
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  PMID: 21884371;Abstract: Purpose: The purpose of this paper is to delineate five concepts that are often used synonymously in the nursing and related literature: self-care, self-management, self-monitoring, symptom management, and self-efficacy for self-care. Method: Concepts were delineated based on a review of literature, identification of relationships, and examination of commonalities and differences. Findings: More commonalities than differences exist among self-care, self-management, and self-monitoring. Symptom management extends beyond the self-care concepts to include healthcare provider activities. Self-efficacy can mediate or moderate the four other concepts. Relationships among the concepts are depicted in a model. Conclusions: A clearer understanding of the overlap, differences, and relationships among the five concepts can provide clarity, direction and specificity to nurse researchers, policy makers, and clinicians in addressing their goals for health delivery. Clinical Relevance: Concept clarity enables nurses to use evidence that targets specific interventions to individualize care toward achieving the most relevant goals. © 2011 Sigma Theta Tau International.
• Richard, A. A., & Shea, K. (2011). Delineation of self-care and associated concepts. Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 43(3), 255-64.
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  The purpose of this paper is to delineate five concepts that are often used synonymously in the nursing and related literature: self-care, self-management, self-monitoring, symptom management, and self-efficacy for self-care.
• Shea, K. (2011).

  Interactions and outcomes using the Social Relations Model in a health care group

  . The Social Science Journal, 48(1), 130-144. doi:10.1016/j.soscij.2010.07.009
• Shea, K. (2011). Home health telemonitoring: Don't forget the goal of self-care. Online Journal of Nursing Informatics, 15(3).
• Shea, K. (2011). Interactions and outcomes using the Social Relations Model in a health care group. Social Science Journal, 48(1), 130-144.
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  Abstract: Health care today necessitates a group effort, in part, due to the availability of complex interventions. Often measures of central tendency are used to examine groups which can result in misleading interpretations. Interactions within groups can influence outcomes so a multi-level approach to examining individual and dyad contributions is helpful to determine where interventions may be needed. The Social Relations Model (SRM) (Cook & Kenny, 2004) is a mathematical technique used for estimating the variances due to interaction effects from individuals and dyads within the group. This exploratory research used the SRM to examine 43 triads, composed of a patient, telehealth nurse and home helper, from three western U.S. Veterans Health Administration systems. The purpose of this research is to utilize the SRM to examine communication and information integration among individuals and dyads within groups that may influence outcomes in a health care example. Three triads with identical communication and information integration group scores were compared for Perceiver, Target and Relational Effect scores. Results identified individual and relational variances within the groups that may influence satisfaction and self-care outcomes. SRM techniques are beneficial not only to examine existing group interactions but to prevent potential group combinations that may inhibit desirable outcomes in a complex health care environment. © 2010 Western Social Science Association.
• Shea, K. (2011). Interactions and outcomes using the Social Relations Model in a healthcare group. The Social science journal, 48(1), 130-144.
• Shea, K., & Chamoff, B. (2011). Patient Reactions to Vital Sign Measures: Comparing Home Monitoring Technology to Face-to-Face Delivery. Home health care management & practice, 23(6), 454-460.
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  Increasingly home health agencies are using home-based technologies to monitor vital signs of chronically ill patients. Patients receive measurements such as blood pressure and weight that indicate risks to their health. Cognitive reactions to risk measures have been studied for face-to-face delivery; however, it is unknown whether the same reactions exist with technology delivery. Reported in this article are study results of a comparative content expert analysis of reactions to technology-delivered health-risk measures. Results suggest that patients have the similar reactions but may be more likely to just accept, without evaluating or considering threats to their health. As home telemonitoring applications continue to evolve, care must be taken avoid creating passive patients and develop best practices that use technology to encourage beneficial self-care behaviors.
• Shea, K., & Chamoff, B. (2011). Patient reactions to vital sign measures: Comparing home monitoring technology to face-to-face delivery. Home Health Care Management and Practice, 23(6), 454-460.
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  Abstract: Increasingly home health agencies are using home-based technologies to monitor vital signs of chronically ill patients. Patients receive measurements such as blood pressure and weight that indicate risks to their health. Cognitive reactions to risk measures have been studied for face-to-face delivery; however, it is unknown whether the same reactions exist with technology delivery. Reported in this article are study results of a comparative content expert analysis of reactions to technology-delivered health-risk measures. Results suggest that patients have the similar reactions but may be more likely to just accept, without evaluating or considering threats to their health. As home telemonitoring applications continue to evolve, care must be taken avoid creating passive patients and develop best practices that use technology to encourage beneficial self-care behaviors. © 2011 SAGE Publications.
• Shea, K., & Effken, J. A. (2008). Enhancing patients' trust in the virtual home healthcare nurse. CIN - Computers Informatics Nursing, 26(3), 135-141.
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  PMID: 18438148;Abstract: Typically, patients develop trusting relationships with their nurses through a variety of face-to-face, often hands-on, interpersonal interactions that convey the nurse's ability, integrity, and benevolence. However, in telehome care, face-to-face interaction is limited, so nurses must learn to use different strategies to convey those professional characteristics that promote patients' trust. This study explores the nature of trust and the way it develops, and suggests strategies that can be used by telehome care nurses to counter any barriers to trust imposed by the technology. Copyright © 2008 Lippincott Williams & Wilkins.
• Shea, K. D. (2007). Sociotechnical Influences on Outcomes in Telehomecare. Proquest.
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  Telehomecare utilizes electronic communication technologies to support care when distance separates home health nurses from their patients. Telehomecare nurses, or Care Coordinators, use text-based technology to monitor chronically ill patients. Successful home health care outcomes depend on social and technical interactions within diverse patient, caregiver and nurse triad groups. No theory or analysis method for evaluating telehomecare service delivery, as a multi-level system exists. Therefore, it is not known which characteristics of interpersonal relationships influence outcomes. This research examined trust, interdependence, communication and technology integration influence on outcomes of satisfaction and self-care. The Sociotechnical Systems Theory and Social Relations Model served as guides to explore individual, relational and group effects on patient quality outcomes. The purpose of this research is to examine the relationships among patients’, caregivers’ and nurses’ social and technical characteristics and quality outcomes in telehomecare. Three VHA sites in the western U.S. participated in this descriptive, multi-level, correlational study. Forty-three groups comprised of patient, nurse and caregiver provided survey data on social and technical characteristics. Additionally, patients provided data on outcomes. All scales performed well, except trust. Results show statistically significant bivariate correlations demonstrate associations between characteristics and outcomes at multi-levels: interdependence with satisfaction at individual and dyad levels; communication with satisfaction at all levels of analysis and simple self care at individual levels; technology integration with satisfaction at group levels as wells as simple and complex self care at
• Shea, K., & Verran, J. A. (2007). Social relations modeling in telehomecare. AMIA ... Annual Symposium proceedings. AMIA Symposium, 1111.
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  Telehomecare usage requires that patients, home-helpers and nurses interact as a group using remote communication technology. Group interaction produces many levels of social variance that contribute to outcomes. It is unknown how social variances in remote interaction influence outcomes. Social Relations Model (SRM) approach is currently used to analyze individual, relational and group influences on family outcomes. SRM applied to telehomecare groups contributes to better understanding of the influence of remote relationships on patient outcomes.
• Shea, K., & Verran, J. A. (2007). Social relations modeling in telehomecare.. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 1111-.
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  PMID: 18694208;Abstract: Telehomecare usage requires that patients, home-helpers and nurses interact as a group using remote communication technology. Group interaction produces many levels of social variance that contribute to outcomes. It is unknown how social variances in remote interaction influence outcomes. Social Relations Model (SRM) approach is currently used to analyze individual, relational and group influences on family outcomes. SRM applied to telehomecare groups contributes to better understanding of the influence of remote relationships on patient outcomes.
• Lamb, G. S., & Shea, K. (2006). Nursing education in telehealth. Journal of Telemedicine and Telecare, 12(2), 55-56.
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  PMID: 16539749;Abstract: Many nurses around the world provide expert nursing care through distance technologies but few undergraduate programmes expose nursing students to the full range of technologies available. Nursing education in telehealth needs to reflect the roles, responsibilities and capacity for knowledge building and innovation of the various constituencies within the profession. Registered nurses and advanced practice nurses will need complementary but different knowledge and skills than nurse administrators. The former will need technical proficiency in using common telehealth modalities and the ability to integrate telehealth in their practices.
• Lamb, G. S., & Shea, K. (2006). Nursing education in telehealth. Journal of telemedicine and telecare, 12(2), 55-6.
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  Many nurses around the world provide expert nursing care through distance technologies but few undergraduate programmes expose nursing students to the full range of technologies available. Nursing education in telehealth needs to reflect the roles, responsibilities and capacity for knowledge building and innovation of the various constituencies within the profession. Registered nurses and advanced practice nurses will need complementary but different knowledge and skills than nurse administrators. The former will need technical proficiency in using common telehealth modalities and the ability to integrate telehealth in their practices.
• Effken, J. A., & Shea, K. (2001). Effects of task goal on learning to use an instructional computer simulation. Online Journal of Nursing Informatics, 5(1), 1-36.
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  Abstract: With Preitula's Cognitive Task Model as a conceptual framework, we used an experimental design to investigate how task goals interact with interface designs to affect users' ability to learn to use a computer simulation. In the experiment, 16 nursing students were randomly assigned to one of two interface designs and asked to solve three physiologic problems with three different treatment goals. Students were given up to two minutes to solve each problem by administering six different simulated drugs. A mixed design analysis of variance was used to determine the effects of interface design and task goal on the number of problems solved, time to initiate treatment, percentage of time system maintained within normal parameters, and number of drugs used. Treatment goal affected students' performance primarily in how quickly they began drug therapy. The results suggest that task goal can interact with interface designs to affect learning to use an instructional computer simulation.

Proceedings Publications

• Crist, J. D., Shea, K. D., Peterson, R., Loque, K., Jessica, P., Liu, J., Martin Plank, L. M., Lacasse, C. L., May, J., Zhang, Y., Beverly, H., & Phillips, L. R. (2019, Fall). Sensor Technology: Mexican American Caregiving Families. In Council for the Advancement of Nursing Science.
• Shea, K. D., Crist, J. D., Rachel, P., Lacasse, C. L., Martin Plank, L. M., Beverly, H., Liu, J., & Phillips, L. R. (2019, November). Symposium The Tipping Point Study, Digital Detection and Decision Support for Older Adults and Families. In Gerontological Society of America.

Presentations

• Lacasse, C. L., Perez, L. J., Shea, K. D., Bilbo, L. L., Phillips, L. R., Martin Plank, L. M., Carlisle, H. L., & Donovan, S. A. (2023, April).

  Supporting Healthy Aging in Diverse Populations: A Specialty BSN Education Program

  Cheryl Lacasse, Linda Perez, Kim Shea, Mary O'Connell, Laurel Bilbo, Linda Phillips, Lori Martin Plank, Heather Carlisle, Stephanie Donovan, April 20, 2023

  . Western Institute of Nursing Conference. Tucson, AZ: Western Institute of Nursing.
• Gephart, S. M., Shea, K. D., & Newnam, K. (2021, April). NEC-Zero Initiatives As a Foundation for Neoecho. Western Institute of Nursing. virtual: Western Institute of Nursing.
• Gephart, S. M., Shea, K. D., & Newnam, K. (2020, April). NEC-Zero Initiatives As a Foundation for Neoecho. Western Institute of Nursing. Portland, OR: Western Institute of Nursing.
• Sanchez-Reilly, S., Cheung, K., Shea, K. D., & Vasquez, A. (2019, Fall). Breaking Access and Distance Barriers: Using Innovative Modalities of Tele-Palliative Care. Annual Conference- Invited Panel. San Diego, CA: American Academy of Hospice and Palliative Medicine/ Hospice and Palliative Nursing Association.
• Shea, K. D., Crist, J. D., & Martin Plank, L. M. (2020, Fall). Graphic-Novela Intervention for Mexican American Aging in Place: Pilot.. GAPNA Virtual Conference On Demand Presentation.. Virtual: Gerontological Advanced Practice Nurses Association.
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  Presentation on grant-funded research on graphic-novela for Mexican American caregivers, to persuade them to accept help and to direct them to sources for assistance
• Shea, K. D., Solien, J., Koon, M., Powell, R., Henney, N., & Pucko, J. (2018, spring). Improving End of Life Quality through the Implementation and Testing of a Ketamine Protocol for Reduction of Depression and Pain. Annual Assembly of Hospice and Palliative Care. Boston, MA: AAHPM/HPNA.
• Shea, K. D. (2018, April). Advances in Telehealth for Palliative Care and Hospice. National Hospice and Palliative Care Organization. National Webinar: NHPCO.
• Shea, K. D. (2018, December). Aligning Technology with Independence of Older Adults at Home. Advances in Aging Lecture Series. Kiewit Auditorium, University of ARizona Cancer Center: UA College of Medicine Center on Aging.
• Shea, K. D., Brewer, B. B., Davis, M. P., Rosenfeld, A. G., Gephart, S. M., & Carrington, J. M. (2017, spring). Leading Change: Threading Data Science through the Nursing PhD Curriculum. Nursing Annual Regional Conference. Denver, CO: Western Institute of Nursing.
• Carrington, J. M., Shea, K. D., Gephart, S. M., Brewer, B. B., Rosenfeld, A. G., Davis, M. P., Davis, M. P., Rosenfeld, A. G., Brewer, B. B., Gephart, S. M., Shea, K. D., & Carrington, J. M. (2017, spring). Leading Change: Threading Data Science through the Nursing PhD Curriculum. Nursing Annual Regional Conference. Denver, CO: Western Institute of Nursing.
• Conway, J., & Shea, K. D. (2017, spring). Telelmonitoring: Utilizing Persuasive Technology to Improve Client Engagement. Telemedicine & Telehealth Service Provider Showcase (SPS): Advancing Telehealth Partnership. Phoenix, AZ: Arizona Telemedicine Program.
• Gephart, S. M., Brewer, B. B., Carrington, J. M., Doyle, M., Shea, K. D., & Rosenfeld, A. G. (2017, January). Weaving data science into the fabric of core curriculum for the nursing research doctorate. Doctoral Education Conference. San Diego, CA: AACN.
• Gephart, S. M., Shea, K. D., Rosenfeld, A. G., Davis, M. P., Brewer, B. B., & Carrington, J. M. (2017, April). Use of NLP to Analyze Core Course Content and Weave in Data Science. InSpire 2017: Developing the Health Informatics Workforce of the Future Conference. La Jolla, California: American Medical Informatics Association.
• Koon, M., & Shea, K. D. (2017, spring). A Best Practice Assessment Protocol for Mobile Technology Home Hospice Visits.. Telemedicine & Telehealth Service Provider Showcase (SPS). Phoenix, AZ: Arizona Telemedicine Program.
• Shea, K. D. (2017, November). Is Big Data a Big Deal for Your Organization?. Arizona Association for Healthcare Quality Fall program. Phoenix, AZ: Arizona Association for Healthcare Quality.
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  Objectives for presentation: “Is Big Data a Big Deal for Your organization”?1. Understand differences between big data, large data sets, and organizational data.2. Discuss the benefits of benchmarking as determined by big data analysis.3. Identify ways in which big data knowledge can be applied to decision making in organizations
• Shea, K. D. (2017, October). Evaluating the Potential for Usability of Technology for Home Health. American Academy of Home HealthCare Medicine Annual Conference. Chicago, IL: AAHCM.
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  Plenary Presentation
• Shea, K. D. (2017, fall). Evaluating the Potential for Usability of Technology for Home Health. Academy of Home HealthCare Medicine (AAHCM) Annual Conference. Chicago, Ill.
• Shea, K. D., & Bautista, J. (2017, spring). TeleICU Nurse-directed Low Tidal Volume Ventilator Rounds.. Telemedicine & Telehealth Service Provider Showcase (SPS): Advancing Telehealth Partnership. Phoenix, AZ: Arizona Telemedicine Program.
• Shea, K. D., Brewer, B. B., Davis, M. P., Rosenfeld, A. G., Gephart, S. M., & Carrington, J. M. (2017, January). Weaving data science into the fabric of core curriculum for the nursing research doctorate. AACN Doctoral Education Conference. Coronado, CA: American Academy for Colleges of Nursing.
• Shea, K. D., Silva Torres, G. E., & Evans, B. (2017, April). A BEST PRACTICE ASSESSMENT PROTOCOL FOR MOBILE TECHNOLOGY HOME VISITS. Annual Research Conference. Denver, CO: Western Institute of Nursing.
• Knight, E. P., Shea, K. D., Rosenfeld, A. G., Hsu, C., Schmiege, S., & DeVon, H. A. (2016, April). SYMPTOM TRAJECTORIES AFTER EMERGENT EVALUATION FOR ACUTE CORONARY SYNDROME. Western Institute of Nursing, Nursing Annual Regional Conference. Anaheim, CA: Western Institute of Nursing.
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  Background: Many patients evaluated for acute coronary syndrome (ACS) in emergency departments (EDs) experience ongoing or recurrent symptoms after discharge, regardless of their ultimate medical diagnosis. A comprehensive understanding of post-ED symptom trajectories is lacking.Aim: To identify common trajectories of symptom severity in the six months after an ED visit for potential ACS.Methods: This was a secondary data analysis from a study conducted in five U.S. EDs. Patients (n=1002) who had abnormal electrocardiogram or biomarker testing and were identified by the triage nurse as potentially having ACS were enrolled. Symptom severity was assessed in the hospital and 30 days and six months post-discharge using the 13-item ACS Symptom Checklist. Severity of the eight most commonly reported symptoms (chest pressure, chest discomfort, unusual fatigue, chest pain, shortness of breath, lightheadedness, upper back pain, and shoulder pain) was modeled across the three study time points using growth mixture modeling. Models with increasing numbers of classes were compared, and final model selection was based on a combination of interpretability, theoretical justification, and statistical fit indices. Results: The sample was 62.6% male with a mean age of 60.17 years, and 57.1% ruled-out for ACS. Between two and four distinct trajectory classes were identified for each symptom. Identified trajectories were labeled “tapering off,” “mild/persistent”, “moderate/persistent,” “moderate/worsening”, “moderate/improving,” “late onset”, and “severe/improving.” Implications: Research on the individual nature of symptom trajectories can contribute to patient-centered, rather than disease-centered, care. Further research is needed to verify the existence of multiple symptoms trajectories in diverse populations and to assess the antecedents and consequences of individual symptom trajectories.
• Shea, K. D. (2016, March). Mobile Technology for Medical Symptom Management. s. Yuma, Arizona, March 15, 2016.. Annual Research Presentation. Yuma, AZ: Yuma Friends of Arizona Health Science.
• Shea, K. D. (2016, March). Telehealth: Palliative and Hospice. The Business of TeleMedicine National Webina. National Webinar: American Telemedicine Association.
• Shea, K. D. (2016, October). Telehealth for Palliative Care. 2016 Homecoming Nursing Research Showcase. Tucson, AZ: University of Arizona, College of Nursing.

Poster Presentations

• James, S., Daly, P., Shea, K. D., & Pacheco, C. L. (2020, April). Mhealth Feasibility: Assessing Oregon’S SBIRT APP for Primary Care Self-Screening. WIN. Portland, OR - Virtual: Western Institute of Nursing.
• James, S., Daly, P., Shea, K. D., & Pacheco, C. L. (2021, April). Mhealth Feasibility: Assessing Oregon’S SBIRT APP for Primary Care Self-Screening. WIN. Portland, OR - Virtual: Western Institute of Nursing.
• Shea, K. D., Gephart, S. M., & Newnam, K. (2019, April). Project ECHO as an implementation strategy and opportunities to test mechanisms of effectiveness informed by the iPARHIS framework. Western Institute of Nursing Communicating Research Conferene. San Diego, CA.
• Walker, S., & Shea, K. D. (2018, spring). Tele-Oncology at End of Life: A Pilot Feasibility Study of Mobile Health to Facilitate the Transition from Active Cancer Care to Hospice. Western Institute of Nursing Annual Conference. Spokane, WA: WIN.
• Finley, B. A., Maxiner, R. K., & Shea, K. D. (2018, April). Telepsychology for Advanced practice nurses: A Scoping Review of the Literature. Annual American Telemedicine Association Conference. Chicago, Illinois: ATA.
• Maixner, R. K., Finley, B. A., Shea, K. D., & Slebodnik, M. B. (2018, April 29-May 1). Psychiatric Mental Health Advanced Practice Nurses Using Synchronous Telepsychiatry: A Systematic Review. American Telemedicine Association Annual Conference. Chicago, Illinois: American Telemedicine Association.
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  Estimates suggest that one in five Americans ages 12 and older are suffering from mental illness, yet less than half receive treatment (1,2). One modality that increases mental health care access and treatment is telepsychiatry, which has demonstrated clinical effectiveness and satisfaction among providers and patients (3). Specifically, telepsychiatry use among psychiatric mental health advanced practice nurses (PMH APRNs)* does not have systematic exploration. Thus, this study is the first to systematically review PMH APRN’s role and usage of synchronous telepsychiatry.
• Phillips, L. R., Shea, K. D., Dowling, E. M., Crist, J. D., Crist, J. D., Dowling, E. M., Shea, K. D., & Phillips, L. R. (2018, November). . Effects of health care policy on access to end of life care for Mexican Americans: What do we currently know?. American Public Health Association's 2018 Annual Meeting & Expo. San Diego, CA: APHA.
• Walker, S., & Shea, K. D. (2018, April). Telehealth for Transition between Oncology and Palliative Care Nurses. Annual Western Institute of Nursing. Denver CO.
• Finley, B., Maixner, R., Shea, K. D., & Slebodnik, M. (2017, fall). Psychiatric Mental Health APRN Telepsychiatry Usage: A Scoping Review.. . Arizona Science and Technology; AzBio Awards.. Phoenix, AZ: Arizona Science and Technology.
• Salway-Jensen, B., & Shea, K. D. (2016, April). A Culturally Sensitive, Technology-Enhanced Mental Health Screening Tool. Nursing Annual Regional Conference. Anaheim, CA: Western Institute of Nursing.

Creative Productions

• Shea, K. D. (2016. Telehealth for Nurses. Round Table Event. Anaheim, AZ: Western Institute of Nursing.

Others

• Shea, K. D. (2019, June). Phase II of Chilean Telehealth Collaboration Project. Arizona Telemedicine Program- University of Arizona Blog. https://telemedicine.arizona.edu/blog?page=2
• Shea, K. D. (2019, October). Rural Telehealth Certificate Program. Arizona Telemedicine Program University of Arizona - Blog. https://telemedicine.arizona.edu/blog?page=1