Ian A. Lane
Nursing Epidemiologist and Pediatric Research Scientist
About
Ian Lane is a pediatric nursing epidemiologist and quantitative methodologist specializing in statistical approaches to studying the distribution and determinants of acute and chronic pain, serious illness, and post-pediatric ICU (PICU) recovery in critically ill children and teens. With a focus on post-PICU recovery and rehabilitation, Ian aims to improve nursing care quality and enhance childrens’ recovery by identifying key factors that influence normative developmental trajectories and pain post-PICU admission.
Ian is a board-certified pediatric pain management and critical care nurse and received his Ph.D. training in Nursing from University of Massachusetts. He is now a Research Associate at University of Connecticut School of Nursing, studying post-PICU Recovery Research.
Methodological Interests
As a methodologist, Ian is committed to supporting nurse scholars at all levels by integrating nursing theories and conceptual models into their study designs and research hypotheses, through pedagogical efforts, by serving as a consultant for latent factor scale development, and by collaborating with nurse researchers to conduct latent variable analyses. Thus, he aims to advance both nursing theory and clinical practice by building statistical models that test theoretical constructs while also addressing research imperatives in nursing science.
Clinical Interests
As a pediatric pain management and critical care nurse, Ian strives to improve person- and family-centered nursing care and quality of life for children and teens experiencing unpleasant or distressing symptoms or serious illness.
Theoretical Interests
Ian is deeply committed to bridging the theory-practice gap in nursing science through the rigorous application of logic and philosophical pragmatism. To achieve this, he quantitatively evaluates nursing concepts and theoretical models developed through inductive qualitative approaches such as Grounded Theory methodology in statistical terms using structural equation modeling.
Connect
Ian's current peer-reviewed publications can be viewed here: https://www.ncbi.nlm.nih.gov/myncbi/ian.lane.2/bibliography/public/
If you wish to hear Ian speak at length about nursing science and theory, click the spotlight button above to listen to his podcast, Clinical Appraisal, on Spotify or YouTube.
To contact him directly, please email: [email protected].