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Barbara DiCicco-Bloom

Bio: Barbara DiCicco-Bloom is an academic researcher from City University of New York. The author has contributed to research in topics: Health care & Qualitative research. The author has an hindex of 17, co-authored 29 publications receiving 5908 citations. Previous affiliations of Barbara DiCicco-Bloom include The Graduate Center, CUNY & Rutgers University.

Papers
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Journal ArticleDOI
TL;DR: This work examines less structured interview strategies in which the person interviewed is more a participant in meaning making than a conduit from which information is retrieved.
Abstract: BACKGROUND Interviews are among the most familiar strategies for collecting qualitative data. The different qualitative interviewing strategies in common use emerged from diverse disciplinary perspectives resulting in a wide variation among interviewing approaches. Unlike the highly structured survey interviews and questionnaires used in epidemiology and most health services research, we examine less structured interview strategies in which the person interviewed is more a participant in meaning making than a conduit from which information is retrieved. PURPOSE In this article we briefly review the more common qualitative interview methods and then focus on the widely used individual face-to-face in-depth interview, which seeks to foster learning about individual experiences and perspectives on a given set of issues. We discuss methods for conducting in-depth interviews and consider relevant ethical issues with particular regard to the rights and protection of the participants.

4,956 citations

Journal ArticleDOI
TL;DR: This conceptual model of clinician-patient healing relationships may be generalizable to other kinds of healing relationships and have an underlying structure and lead to important patient-centered outcomes.
Abstract: PURPOSE Clinicians often have an intuitive understanding of how their relationships with patients foster healing. Yet we know little empirically about the experience of healing and how it occurs between clinicians and patients. Our purpose was to create a model that identifies how healing relationships are developed and maintained. METHODS Primary care clinicians were purposefully selected as exemplar healers. Patients were selected by these clinicians as having experienced healing relationships. In-depth interviews, designed to elicit stories of healing relationships, were conducted with patients and clinicians separately. A multidisciplinary team analyzed the interviews using an iterative process, leading to the development of case studies for each clinician-patient dyad. A comparative analysis across dyads was conducted to identify common components of healing relationships RESULTS Three key processes emerged as fostering healing relationships: (1) valuing/creating a nonjudgmental emotional bond; (2) appreciating power/consciously managing clinician power in ways that would most benefit the patient; and (3) abiding/displaying a commitment to caring for patients over time. Three relational outcomes result from these processes: trust, hope, and a sense of being known. Clinician competencies that facilitate these processes are self-confidence, emotional self-management, mindfulness, and knowledge. CONCLUSIONS Healing relationships have an underlying structure and lead to important patient-centered outcomes. This conceptual model of clinician-patient healing relationships may be generalizable to other kinds of healing relationships.

202 citations

Journal Article
TL;DR: To decrease antibiotic use for ART infections, patients should be educated about the dangers and limited benefits of such use, and clinicians should consider appropriate responses to these different patient pressures to prescribe antibiotics.
Abstract: Objective We identified those aspects of physician-patient communication that influence physicians to prescribe antibiotics for respiratory infections. Study design A multimethod comparative case study was performed including descriptive field notes of outpatient visits. Population We included patients (children and adults) and clinicians in 18 purposefully selected family practices in a midwestern state. A total of 298 outpatient visits for acute respiratory tract (ART) infections were selected for analysis from more than 1600 encounters observed. Outcomes measured Unnecessary antibiotic use and patterns of physician-patient communication were measured. Results Antibiotics were prescribed in 68% of the ART infection visits, and of those, 79% were determined to be unnecessary according to Centers for Disease Control and Prevention guidelines. Patients were observed to pressure physicians for medication. The types of patterns identified were direct request, candidate diagnosis (a diagnosis suggested by the patient), implied candidate diagnosis (a set of symptoms specifically indexing a particular diagnosis), portraying severity of illness, appealing to life-world circumstances, and previous use of antibiotics. Also, clinicians were observed to rationalize their antibiotic prescriptions by reporting medically acceptable reasons and diagnoses to patients. Conclusions Patients strongly influence the antibiotic prescribing of physicians by using a number of different behaviors. To decrease antibiotic use for ART infections, patients should be educated about the dangers and limited benefits of such use, and clinicians should consider appropriate responses to these different patient pressures to prescribe antibiotics.

152 citations

Journal ArticleDOI
TL;DR: SNA can be useful for quantitative analysis of interaction patterns that can distinguish differences among primary care practices, and potential uses of these measures for analysis ofPrimary care practices are described.
Abstract: PURPOSE Social network analysis (SNA) provides a way of quantitatively analyzing relationships among people or other information-processing agents. Using 2 practices as illustrations, we describe how SNA can be used to characterize and compare communication patterns in primary care practices. METHODS Based on data from ethnographic field notes, we constructed matrices identifying how practice members interact when practice-level decisions are made. SNA software (UCINet and KrackPlot) calculates quantitative measures of network structure including density, centralization, hierarchy and clustering coefficient. The software also generates a visual representation of networks through network diagrams. RESULTS The 2 examples show clear distinctions between practices for all the SNA measures. Potential uses of these measures for analysis of primary care practices are described. CONCLUSIONS SNA can be useful for quantitative analysis of interaction patterns that can distinguish differences among primary care practices.

139 citations


Cited by
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Journal ArticleDOI
TL;DR: This work examines less structured interview strategies in which the person interviewed is more a participant in meaning making than a conduit from which information is retrieved.
Abstract: BACKGROUND Interviews are among the most familiar strategies for collecting qualitative data. The different qualitative interviewing strategies in common use emerged from diverse disciplinary perspectives resulting in a wide variation among interviewing approaches. Unlike the highly structured survey interviews and questionnaires used in epidemiology and most health services research, we examine less structured interview strategies in which the person interviewed is more a participant in meaning making than a conduit from which information is retrieved. PURPOSE In this article we briefly review the more common qualitative interview methods and then focus on the widely used individual face-to-face in-depth interview, which seeks to foster learning about individual experiences and perspectives on a given set of issues. We discuss methods for conducting in-depth interviews and consider relevant ethical issues with particular regard to the rights and protection of the participants.

4,956 citations

Book
10 Feb 2011
TL;DR: The perfect complement to Nursing Research: Generating and Assessing Evidence for Nursing Practice, Ninth Edition, this knowledge builder helps you develop and reinforce basic skills essential to nursing research.
Abstract: The perfect complement to Nursing Research: Generating and Assessing Evidence for Nursing Practice, Ninth Edition, this knowledge builder helps you develop and reinforce basic skills essential to nursing research.

3,409 citations