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Tietschert M, Bahadurzada H, Kerrissey M. Revisiting organizational culture in healthcare: Heterogeneity as a resource. Soc Sci Med 2024; 356:117165. [PMID: 39121526 DOI: 10.1016/j.socscimed.2024.117165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 07/11/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024]
Abstract
Aligning culture to be similar across work units is a common organizational tactic, but its appropriateness for the multidisciplinary context of healthcare is far from certain. Variation in perceptions of culture across large health systems may serve a functional purpose in delivering high quality care and ameliorating job stress; however, past research in healthcare has focused on culture as the average set of values and norms (i.e., cultural content) rather than on (dis)agreement about values and norms among organizational members (i.e., cultural structure). This survey-based study examines both cultural content (averages among individuals) and structure (distances between individuals) in departments of a large U.S. healthcare organization (total sample = 26,314 workers, response rate = 84%). We used linear models to associate four commonly used culture measures with outcome measures (perceived care quality, intent to stay, and manageable job stress). We found substantial heterogeneity in perceptions for multiple culture types. We found curvilinear relationships between heterogeneity for all culture types and outcomes, suggesting that heterogeneity promotes positive outcomes up to a certain point after which the positive effect declines. For research, our findings point to the importance of studying culture in healthcare with greater focus on heterogeneity; for practice, this study highlights how culturally-focused efforts to improve care quality and worker experience in healthcare should be more precise about balancing cultural alignment and heterogeneity.
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Affiliation(s)
- Maike Tietschert
- Socio-Medical Sciences, Erasmus University Rotterdam, Erasmus School of Health Policy & Management, Burgemeester Oudlaan 50, 3062, PA, Rotterdam, USA.
| | - Hassina Bahadurzada
- Harvard Business School, Harvard University, Soldiers Field Road, Boston, MA, 02162, USA.
| | - Michaela Kerrissey
- Harvard School of Public Health, Harvard University, 677 Huntington Ave, Boston, MA, 02115, USA.
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Kerrissey M, Novikov Z. Joint problem-solving orientation, mutual value recognition, and performance in fluid teamwork environments. Front Psychol 2024; 15:1288904. [PMID: 38414875 PMCID: PMC10896903 DOI: 10.3389/fpsyg.2024.1288904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 01/02/2024] [Indexed: 02/29/2024] Open
Abstract
Introduction Joint problem-solving orientation (JPS) has been identified as a factor that promotes performance in fluid teamwork, but research on this factor remains nascent. This study pushes the frontier of understanding about JPS in fluid teamwork environments by applying the concept to within-organization work and exploring its relationships with performance, mutual value recognition (MVR), and expertise variety (EV). Methods This is a longitudinal, survey-based field study within a large United States healthcare organization n = 26,319 (2019 response rate = 87%, 2021 response rate = 80%). The analytic sample represents 1,608 departmental units in both years (e.g., intensive care units and emergency departments). We focus on departmental units in distinct locations as the units within which fluid teamwork occurs in the hospital system setting. Within these units, we measure JPS in 2019 and MVR in 2021, and we capture EV by unit using a count of the number of disciplines present. For a performance measure, we draw on the industry-used measurement of perceived care quality and safety. We conduct moderated mediation analysis testing (1) the main effect of JPS on performance, (2) mediation through MVR, and (3) EV as a moderator. Results Our results affirm a moderated mediation model wherein JPS enhances performance, both directly and through MVR; EV serves as a moderator in the JPS-MVR relationship. JPS positively influences MVR, irrespective of whether EV is high or low. When JPS is lower, greater EV is associated with lower MVR, whereas amid high JPS, greater EV is associated with higher MVR, as compared to lower EV. Discussion Our findings lend further evidence to the value of JPS in fluid teamwork environments for enabling performance, and we document for the first time its relevance for within-organization work. Our results suggest that one vital pathway for JPS to improve performance is through enhancing recognition of the value that others offer, especially in environments where expertise variety is high.
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Affiliation(s)
- Michaela Kerrissey
- Harvard TH Chan School of Public Health, Harvard University, Cambridge, MA, United States
| | - Zhanna Novikov
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, United States
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Liu SK, Bourgeois F, Dong J, Harcourt K, Lowe E, Salmi L, Thomas EJ, Riblet N, Bell SK. What's going well: a qualitative analysis of positive patient and family feedback in the context of the diagnostic process. Diagnosis (Berl) 2024; 11:63-72. [PMID: 38114888 PMCID: PMC10875277 DOI: 10.1515/dx-2023-0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 10/18/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVES Accurate and timely diagnosis relies on close collaboration between patients/families and clinicians. Just as patients have unique insights into diagnostic breakdowns, positive patient feedback may also generate broader perspectives on what constitutes a "good" diagnostic process (DxP). METHODS We evaluated patient/family feedback on "what's going well" as part of an online pre-visit survey designed to engage patients/families in the DxP. Patients/families living with chronic conditions with visits in three urban pediatric subspecialty clinics (site 1) and one rural adult primary care clinic (site 2) were invited to complete the survey between December 2020 and March 2022. We adapted the Healthcare Complaints Analysis Tool (HCAT) to conduct a qualitative analysis on a subset of patient/family responses with ≥20 words. RESULTS In total, 7,075 surveys were completed before 18,129 visits (39 %) at site 1, and 460 surveys were completed prior to 706 (65 %) visits at site 2. Of all participants, 1,578 volunteered positive feedback, ranging from 1-79 words. Qualitative analysis of 272 comments with ≥20 words described: Relationships (60 %), Clinical Care (36 %), and Environment (4 %). Compared to primary care, subspecialty comments showed the same overall rankings. Within Relationships, patients/families most commonly noted: thorough and competent attention (46 %), clear communication and listening (41 %) and emotional support and human connection (39 %). Within Clinical Care, patients highlighted: timeliness (31 %), effective clinical management (30 %), and coordination of care (25 %). CONCLUSIONS Patients/families valued relationships with clinicians above all else in the DxP, emphasizing the importance of supporting clinicians to nurture effective relationships and relationship-centered care in the DxP.
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Affiliation(s)
- Stephen K. Liu
- White River Junction VA Medical Center, White River Junction, VT, USA
- Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Fabienne Bourgeois
- Department of Pediatrics, Boston Children’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Joe Dong
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Kendall Harcourt
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Elizabeth Lowe
- Patient and Family Advisory Council, Department of Social Work, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Liz Salmi
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Eric J. Thomas
- Department of Medicine, University of Texas McGovern Medical School, Houston, TX, USA
- Center for Healthcare Quality and Safety, Memorial Hermann Texas Medical Center, Houston, TX, USA
| | - Natalie Riblet
- White River Junction VA Medical Center, White River Junction, VT, USA
- Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Sigall K. Bell
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
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McGuier EA, Kolko DJ, Stadnick NA, Brookman-Frazee L, Wolk CB, Yuan CT, Burke CS, Aarons GA. Advancing research on teams and team effectiveness in implementation science: An application of the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. IMPLEMENTATION RESEARCH AND PRACTICE 2023; 4:26334895231190855. [PMID: 37790168 PMCID: PMC10387676 DOI: 10.1177/26334895231190855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
Background Effective teams are essential to high-quality healthcare. However, teams, team-level constructs, and team effectiveness strategies are poorly delineated in implementation science theories, models, and frameworks (TMFs), hindering our understanding of how teams may influence implementation. The Exploration, Preparation, Implementation, Sustainment (EPIS) framework is a flexible and accommodating framework that can facilitate the application of team effectiveness approaches in implementation science. Main Text We define teams and provide an overview of key constructs in team effectiveness research. We describe ways to conceptualize different types of teams and team constructs relevant to implementation within the EPIS framework. Three case examples illustrate the application of EPIS to implementation studies involving teams. Within each study, we describe the structure of the team and how team constructs influenced implementation processes and outcomes. Conclusions Integrating teams and team constructs into the EPIS framework demonstrates how TMFs can be applied to advance our understanding of teams and implementation. Implementation strategies that target team effectiveness may improve implementation outcomes in team-based settings. Incorporation of teams into implementation TMFs is necessary to facilitate application of team effectiveness research in implementation science.
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Affiliation(s)
- Elizabeth A. McGuier
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David J. Kolko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Nicole A. Stadnick
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- UC San Diego ACTRI Dissemination and Implementation Science Center, La Jolla, CA, USA
- Child and Adolescent Services Research Center, San Diego, CA, USA
| | - Lauren Brookman-Frazee
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- UC San Diego ACTRI Dissemination and Implementation Science Center, La Jolla, CA, USA
- Child and Adolescent Services Research Center, San Diego, CA, USA
| | - Courtney Benjamin Wolk
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Christina T. Yuan
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - C. Shawn Burke
- Institute for Simulation and Training, School of Modeling, Simulation, and Training, University of Central Florida, Orlando, FL, USA
| | - Gregory A. Aarons
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- UC San Diego ACTRI Dissemination and Implementation Science Center, La Jolla, CA, USA
- Child and Adolescent Services Research Center, San Diego, CA, USA
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