{"id":{"repo_id":"embry-riddle","oai_identifier":"oai:commons.erau.edu:edt-1476"},"canonical_url":"https://search.dev.ndltd.org/etd/embry-riddle/oai:commons.erau.edu:edt-1476","repository":{"repo_id":"embry-riddle","name":"Embry Riddle Aeronautical University","base_url":"https://commons.erau.edu/do/oai/"},"display":{"title":"Human Factors Contributing to Preventable Adverse Drug Events in Healthcare: A Grounded Theory Approach Pilot Study","abstract":"<p>The following thesis details a grounded theory methodology (GT) pilot study of preventable adverse drug events (pADEs) in healthcare. This research used the methodological approach to develop a categorical theory for the chief workplace contributors to intra-hospital intensive care unit (ICU) preventable adverse drug events. While this study represents only a foray into the use of GT to explain pADEs, the results implicate specific areas of concern that may be followed up on in future qualitative or quantitative research. Pursuant of a Straussian grounded theory methodology, this study leaned fundamentally on the interview of individuals with first-hand experience with the phenomenon of interest. A total of 10 participants, eight nurses and two physicians, with varying levels of experience and places of employment, were recruited for these interviews. The resultant data were analyzed, coded, and categorized by the researcher to develop a graphical representation of the emergent data categories. That graphical representation materialized in an axial coding paradigm in which four primary categories describe a core phenomenon. The core phenomenon identified in this study as a main cause of pADEs within ICUs was breakdowns in nursing care. The four overarching categories used to describe the core phenomenon were causal conditions (i.e. communication errors, fatigue, a nursing shortage), strategies (i.e. incident reporting, safety processes, staffing strategies), consequences (i.e. nurse burnout, disconnect with management, running out of time), and contextual conditions (i.e. standard practices, patient satisfaction surveys, time of day). These categories were informed by the data and through selective coding, a final theory was drawn. This study concluded that breakdowns in nursing care can be attributed to an incredible workload, which causes nurses to ignore safety processes.</p>","abstract_html":"&lt;p&gt;The following thesis details a grounded theory methodology (GT) pilot study of preventable adverse drug events (pADEs) in healthcare. This research used the methodological approach to develop a categorical theory for the chief workplace contributors to intra-hospital intensive care unit (ICU) preventable adverse drug events. While this study represents only a foray into the use of GT to explain pADEs, the results implicate specific areas of concern that may be followed up on in future qualitative or quantitative research. Pursuant of a Straussian grounded theory methodology, this study leaned fundamentally on the interview of individuals with first-hand experience with the phenomenon of interest. A total of 10 participants, eight nurses and two physicians, with varying levels of experience and places of employment, were recruited for these interviews. The resultant data were analyzed, coded, and categorized by the researcher to develop a graphical representation of the emergent data categories. That graphical representation materialized in an axial coding paradigm in which four primary categories describe a core phenomenon. The core phenomenon identified in this study as a main cause of pADEs within ICUs was breakdowns in nursing care. The four overarching categories used to describe the core phenomenon were causal conditions (i.e. communication errors, fatigue, a nursing shortage), strategies (i.e. incident reporting, safety processes, staffing strategies), consequences (i.e. nurse burnout, disconnect with management, running out of time), and contextual conditions (i.e. standard practices, patient satisfaction surveys, time of day). These categories were informed by the data and through selective coding, a final theory was drawn. This study concluded that breakdowns in nursing care can be attributed to an incredible workload, which causes nurses to ignore safety processes.&lt;/p&gt;","abstract_has_math":false,"creators":["Hilgers, Thomas Ryan"],"institution":null,"degree_name":"Master of Science in Human Factors & Systems","degree_level":"Thesis - Open Access","degree_discipline":"Human Factors and Systems","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-02-01T08:00:00Z","date_published":"2018-02-01T08:00:00Z","updated_at":"2026-07-27T19:26:22Z","subjects":["human factors","adverse drug effects","Chemicals and Drugs","Medical Sciences"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/edt/476","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Hilgers, Thomas Ryan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Human Factors and Systems"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Human Factors & Systems"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["human factors","adverse drug effects","Chemicals and Drugs","Medical Sciences"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/edt/476"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>The following thesis details a grounded theory methodology (GT) pilot study of preventable adverse drug events (pADEs) in healthcare. This research used the methodological approach to develop a categorical theory for the chief workplace contributors to intra-hospital intensive care unit (ICU) preventable adverse drug events. While this study represents only a foray into the use of GT to explain pADEs, the results implicate specific areas of concern that may be followed up on in future qualitative or quantitative research. Pursuant of a Straussian grounded theory methodology, this study leaned fundamentally on the interview of individuals with first-hand experience with the phenomenon of interest. A total of 10 participants, eight nurses and two physicians, with varying levels of experience and places of employment, were recruited for these interviews. The resultant data were analyzed, coded, and categorized by the researcher to develop a graphical representation of the emergent data categories. That graphical representation materialized in an axial coding paradigm in which four primary categories describe a core phenomenon. The core phenomenon identified in this study as a main cause of pADEs within ICUs was breakdowns in nursing care. The four overarching categories used to describe the core phenomenon were causal conditions (i.e. communication errors, fatigue, a nursing shortage), strategies (i.e. incident reporting, safety processes, staffing strategies), consequences (i.e. nurse burnout, disconnect with management, running out of time), and contextual conditions (i.e. standard practices, patient satisfaction surveys, time of day). These categories were informed by the data and through selective coding, a final theory was drawn. This study concluded that breakdowns in nursing care can be attributed to an incredible workload, which causes nurses to ignore safety processes.</p>"]},{"key":"dc:title","label":"Title","values":["Human Factors Contributing to Preventable Adverse Drug Events in Healthcare: A Grounded Theory Approach Pilot Study"]}]}],"canonical_facts":{"dc:creator":["Hilgers, Thomas Ryan"],"dc:description.abstract":["<p>The following thesis details a grounded theory methodology (GT) pilot study of preventable adverse drug events (pADEs) in healthcare. This research used the methodological approach to develop a categorical theory for the chief workplace contributors to intra-hospital intensive care unit (ICU) preventable adverse drug events. While this study represents only a foray into the use of GT to explain pADEs, the results implicate specific areas of concern that may be followed up on in future qualitative or quantitative research. Pursuant of a Straussian grounded theory methodology, this study leaned fundamentally on the interview of individuals with first-hand experience with the phenomenon of interest. A total of 10 participants, eight nurses and two physicians, with varying levels of experience and places of employment, were recruited for these interviews. The resultant data were analyzed, coded, and categorized by the researcher to develop a graphical representation of the emergent data categories. That graphical representation materialized in an axial coding paradigm in which four primary categories describe a core phenomenon. The core phenomenon identified in this study as a main cause of pADEs within ICUs was breakdowns in nursing care. The four overarching categories used to describe the core phenomenon were causal conditions (i.e. communication errors, fatigue, a nursing shortage), strategies (i.e. incident reporting, safety processes, staffing strategies), consequences (i.e. nurse burnout, disconnect with management, running out of time), and contextual conditions (i.e. standard practices, patient satisfaction surveys, time of day). These categories were informed by the data and through selective coding, a final theory was drawn. This study concluded that breakdowns in nursing care can be attributed to an incredible workload, which causes nurses to ignore safety processes.</p>"],"dc:identifier":["https://commons.erau.edu/edt/476"],"dc:subject":["human factors","adverse drug effects","Chemicals and Drugs","Medical Sciences"],"dc:title":["Human Factors Contributing to Preventable Adverse Drug Events in Healthcare: A Grounded Theory Approach Pilot Study"],"thesis:degree_discipline":["Human Factors and Systems"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Human Factors & Systems"]},"updated_at":"2026-07-27T19:26:22Z"}