A b s t r a c t Objective:To introduce the Q-methodology research technique to the field of health informatics. Q-methodology -the systematic study of subjectivity -was used to identify and categorize the opinions of primary care physicians and medical students that contributed to our understanding of their reasons for acceptance of and/or resistance to adapting information technologies in the health care workplace.Design: Thirty-four physicians and 25 medical students from the Chicago area were surveyed and asked to rank-order 30 opinion statements about information technologies within the health care workplace. The Q-methodology research technique was employed to structure an opinion typology from their rank-ordered statements. (The rank-ordered sorts were subjected to correlation and by-person factor analysis to obtain groupings of participants who sorted the opinion statements into similar arrangements.) Results:The typology for this study revealed groupings of similar opinion-types associated with the likelihood of physicians and medical students to adapt information technology into their health care workplace. A typology of six opinions was identified in the following groups: (1) Full-Range Adopters; (2) Skills-Concerned Adopters; (3) Technology-Critical Adopters; (4) Independently-Minded and Concerned; (5) Inexperienced and Worried; and (6) Business-Minded and Adaptive. It is imperative to understand that in the application of Q-methodology, the domain is subjectivity and research is performed on small samples. The methodology is a combination of qualitative and quantitative research techniques that reveals dimensions of subjective phenomena from a perspective intrinsic to the individual to determine what is statistically different about the dimensions and to identify characteristics of individuals who share common viewpoints. Low response rates do not bias Q-methodology because the primary purpose is to identify a typology, not to test the typology's proportional distribution within the larger population.Conclusion: Q-methodology can allow for the simultaneous study of objective and subjective issues to determine an individual's opinion and forecast their likeliness to adapt information technologies in the health care workplace. This study suggests that an organization's system implementers could employ Q-methodology to individualize and customize their approach to understanding the personality complexities of physicians in their organization and their willingness to adapt and utilize information technologies within the workplace. In this study we introduce Q-methodology-a unique combination of qualitative and quantitative research techniques that permits the systematic study of subjectivity-to the field of health care informatics. 1Our purpose was to identify, categorize, and understand the opinions of Chicago-area primary care physicians and medical students regarding their acceptance of and/or resistance to adapting information technologies in the health care workplace.Although Q-methodology has been ...

Studies report a clear association between medication non-adherence and an unfavorable transplant outcome. The adolescent population, in particular, has difficulty adhering to post-transplant medication regimens. The purpose of this study is to identify, categorize and understand the opinions of adolescent transplant patients regarding why they may not take their medications as prescribed. From January to August 2005, nine adolescent kidney transplant patients at an urban medical center were surveyed and asked to rank-order 33 statements regarding their opinions on why adolescents may not take their medications as prescribed. Q-methodology, a powerful tool in subjective study, was used to identify and categorize the viewpoints of adolescents on this subject. Three factors emerged and were labeled to reflect their distinct viewpoints: (1) Medication Issues (e.g. taste, size, frequency, schedule), (2) Troubled Adolescent (e.g. poor home life, depression, overwhelming situation), and (3) Deliberate Non-Adherer (e.g. attention-seeker, infallible attitude). By understanding these different viewpoints and the factors that contribute to them, it may be easier to identify which management approach to non-adherence works best in specific subgroups of patients.

This White Paper presents the foundational domains with examples of key aspects of competencies (knowledge, skills, and attitudes) that are intended for curriculum development and accreditation quality assessment for graduate (master’s level) education in applied health informatics. Through a deliberative process, the AMIA Accreditation Committee refined the work of a task force of the Health Informatics Accreditation Council, establishing 10 foundational domains with accompanying example statements of knowledge, skills, and attitudes that are components of competencies by which graduates from applied health informatics programs can be assessed for competence at the time of graduation. The AMIA Accreditation Committee developed the domains for application across all the subdisciplines represented by AMIA, ranging from translational bioinformatics to clinical and public health informatics, spanning the spectrum from molecular to population levels of health and biomedicine. This document will be periodically updated, as part of the responsibility of the AMIA Accreditation Committee, through continued study, education, and surveys of market trends.

Introduction: Many institutions are attempting to implement patient-reported outcome (PRO) measures. Because PROs often change clinical workflows significantly for patients and providers, implementation choices can have major impact. While various implementation guides exist, a stepwise list of decision points covering the full implementation process and drawing explicitly on a sociotechnical conceptual framework does not exist. Methods: To facilitate real-world implementation of PROs in electronic health records (EHRs) for use in clinical practice, members of the EHR Access to Seamless Integration of Patient-Reported Outcomes Measurement Information System (PROMIS) Consortium developed structured PRO implementation planning tools. Each institution pilot tested the tools. Joint meetings led to the identification of critical sociotechnical success factors. Results: Three tools were developed and tested: (1) a PRO Planning Guide summarizes the empirical knowledge and guidance about PRO implementation in routine clinical care; (2) a Decision Log allows decision tracking; and (3) an Implementation Plan Template simplifies creation of a sharable implementation plan. Seven lessons learned during implementation underscore the iterative nature of planning and the importance of the clinician champion, as well as the need to understand aims, manage implementation barriers, minimize disruption, provide ample discussion time, and continuously engage key stakeholders. Conclusions: Highly structured planning tools, informed by a sociotechnical perspective, enabled the construction of clear, clinic-specific plans. By developing and testing three reusable tools (freely available for immediate use), our project addressed the need for consolidated guidance and created new materials for PRO implementation planning. We identified seven important lessons that, while common to technology implementation, are especially critical in PRO implementation.

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