1
|
Brooks JV, Hughes D. Flipping the expert: faculty educator sensemaking during transition to an active learning-based curriculum. BMC MEDICAL EDUCATION 2024; 24:85. [PMID: 38263065 PMCID: PMC10807172 DOI: 10.1186/s12909-024-05039-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 01/06/2024] [Indexed: 01/25/2024]
Abstract
PURPOSE Curricular change is becoming a standard feature of medical schools as they respond to learners' evolving needs. Implementing change is not always straightforward, however, especially when it directly shifts the expected roles of faculty educators. The authors investigated how faculty educators navigated a significant transition to the Active, Competency-Based, and Excellence-Driven (ACE) curriculum at one state medical school. METHOD The authors employed a qualitative descriptive design and conducted thematic analysis. From June 2018 to January 2019, the authors conducted individual, in-depth interviews with faculty educators and administrators involved in first-year medical student education. Data were analyzed inductively to identify the sensemaking process for faculty. RESULTS Twenty-one faculty educators participated in interviews averaging 58 min. Four phases were identified among educators as they moved through the change: (1) Making Sense of the Change; (2) Grieving the Lecturer Educator Role; (3) Risking an Active Learning Educator Role; and (4) Identifying the Rewards of Active Learning-based Teaching. CONCLUSION Faculty buy-in is an essential component of successful curricular change implementation. While most faculty in this study reported eventual enjoyment from the new interactional teaching that fostered critical thinking, navigating the change was not always smooth. This study suggests faculty development around curricular change should be tailored to address the varying faculty concerns relevant to the four phases that were identified. Effective and optimal faculty support during large-scale curricular change must take into account not just new skills but also the grief and risk faculty may experience as their roles shift.
Collapse
Affiliation(s)
- Joanna Veazey Brooks
- Departments of Population Health and Palliative Medicine, University of Kansas School of Medicine Kansas City, 3901 Rainbow Blvd, MS 3044, Kansas City, KS, 66160, USA.
| | - Dorothy Hughes
- Departments of Population Health and Surgery, University of Kansas School of Medicine, Salina, KS, USA
| |
Collapse
|
2
|
Harolds JA. Quality and Safety in Health Care, Part XCV: Sensemaking. Clin Nucl Med 2023; 48:e617-e619. [PMID: 35261357 DOI: 10.1097/rlu.0000000000004118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT Many times in high reliability organizations, there is uncertainty about the meaning of various happenings or circumstances. Unfortunately, in an emergency, there is often no time to fully investigate events or what is going on in the environment before action must be taken to avoid unfortunate results or disaster. In groups, sensemaking refers to the process of interrelating with others so that a shared understanding may be reached, taking advantage of the differing observations, expertise, and opinions of the people involved, and then taking appropriate action.
Collapse
Affiliation(s)
- Jay A Harolds
- From the Advanced Radiology Services and the Division of Radiology and Biomedical Imaging, College of Human Medicine, Michigan State University, Grand Rapids, MI
| |
Collapse
|
3
|
Leykum LK, Noël PH, Penney LS, Mader M, Lanham HJ, Finley EP, Pugh JA. Interdisciplinary Team Meetings in Practice: an Observational Study of IDTs, Sensemaking Around Care Transitions, and Readmission Rates. J Gen Intern Med 2023; 38:324-331. [PMID: 35962296 PMCID: PMC9905393 DOI: 10.1007/s11606-022-07744-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 07/13/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Interdisciplinary teams (IDTs) have been implemented to improve collaboration in hospital care, but their impact on patient outcomes, including readmissions, has been mixed. These mixed results might be rooted in differences in organization of IDT meetings between hospitals, as well as variation in IDT characteristics and function. We hypothesize that relationships between IDT members are an important team characteristic, influencing IDT function in terms of how members make sense of what is happening with patients, a process called sensemaking OBJECTIVE: (1) To describe how IDT meetings are organized in practice, (2) assess differences in IDT member relationships and sensemaking during patient discussions, and (3) explore their potential association with risk-stratified readmission rates (RSRRs). DESIGN Observational, explanatory convergent mixed-methods case-comparison study of IDT meetings in 10 Veterans Affairs hospitals. PARTICIPANTS Clinicians participating in IDTs and facility leadership. APPROACH Three-person teams observed and recorded IDT meetings during week-long visits. We used observational data to characterize relationships and sensemaking during IDT patient discussions. To assess sensemaking, we used 2 frameworks that reflected sensemaking around each patient's situation generally, and around care transitions specifically. We examined the association between IDT relationships and sensemaking, and RSRRs. KEY RESULTS We observed variability in IDT organization, characteristics, and function across 10 hospitals. This variability was greater between hospitals than between teams at the same hospital. Relationship characteristics and both types of sensemaking were all significantly, positively correlated. General sensemaking regarding each patient was significantly negatively associated with RSRR (- 0.65, p = 0.044). CONCLUSIONS IDTs vary not only in how they are organized, but also in team relationships and sensemaking. Though our design does not allow for inferences of causation, these differences may be associated with hospital readmission rates.
Collapse
Affiliation(s)
- Luci K Leykum
- South Texas Veterans Health Care System, San Antonio, TX, USA.
- University of Texas at Austin Dell Medical School, Austin, TX, USA.
- Audie L. Murphy VA Hospital, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.
| | - Polly H Noël
- South Texas Veterans Health Care System, San Antonio, TX, USA
- Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Lauren S Penney
- South Texas Veterans Health Care System, San Antonio, TX, USA
- Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Michael Mader
- South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Holly J Lanham
- Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Erin P Finley
- Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- VA Greater Los Angeles Health Care System, Los Angeles, TX, USA
| | - Jacqueline A Pugh
- South Texas Veterans Health Care System, San Antonio, TX, USA
- Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| |
Collapse
|
4
|
Despins LA, Wakefield BJ. Making sense of blood glucose data and self-management in individuals with type 2 diabetes mellitus: A qualitative study. J Clin Nurs 2020; 29:2572-2588. [PMID: 32279366 DOI: 10.1111/jocn.15280] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 02/25/2020] [Accepted: 03/14/2020] [Indexed: 12/15/2022]
Abstract
AIMS AND OBJECTIVES To describe individuals' with type 2 diabetes mellitus sense-making of blood glucose data and other influences impacting self-management behaviour. BACKGROUND Type 2 diabetes mellitus prevalence is increasing globally. Adherence to effective diabetes self-management regimens is an ongoing healthcare challenge. Examining individuals' sense-making processes can advance staff knowledge of and improve diabetes self-management behaviour. DESIGN A qualitative exploratory design examining how individuals make sense of blood glucose data and symptoms, and the influence on self-management decisions. METHODS Sixteen one-on-one interviews with adults diagnosed with type 2 diabetes mellitus using a semi-structured interview guide were conducted from March-May 2018. An inductive-deductive thematic analysis of data using the Sensemaking Framework for Chronic Disease Self-Management was used. The consolidated criteria for reporting qualitative research (COREQ) checklist were used in completing this paper. RESULTS Three main themes described participants' type 2 diabetes mellitus sense-making and influences on self-management decisions: classifying blood glucose data, building mental models and making self-management decisions. Participants classified glucose levels based on prior personal experiences. Participants learned about diabetes from classes, personal experience, health information technology and their social network. Seven participants expressed a need for periodic refreshing of diabetes knowledge. CONCLUSION Individuals use self-monitored glucose values and/or HbA1C values to evaluate glucose control. When using glucose values, they analyse the context in which the value was obtained through the lens of personal parameters and expectations. Understanding how individuals make sense of glycaemic data and influences on diabetes self-management behaviour with periodic reassessment of this understanding can guide the healthcare team in optimising collaborative individualised care plans. RELEVANCE TO CLINICAL PRACTICE Nurses must assess sense-making processes in self-management decisions. Periodic "refresher" diabetes education may be needed for individuals with type 2 diabetes mellitus.
Collapse
Affiliation(s)
- Laurel A Despins
- Sinclair School of Nursing, University of Missouri, Columbia, MO, USA
| | | |
Collapse
|
5
|
Practicing Medicine with Colleagues: Pitfalls from Social Psychology Science. J Gen Intern Med 2019; 34:624-626. [PMID: 30706302 PMCID: PMC6445913 DOI: 10.1007/s11606-019-04839-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 10/25/2018] [Accepted: 01/09/2019] [Indexed: 10/27/2022]
Abstract
This perspective reviews three pitfalls from psychology science that can distort clinical assessments and contribute to interpersonal conflicts. One pitfall is the illusion that one's own subjective perceptions or judgments are objective observations or interpretations that reasonable colleagues would share. A second pitfall involves self-serving situational attributions rather than disposition attributions for explaining missteps after things go wrong. A third pitfall is confirmation bias that leads to a perseverance of erroneous beliefs, a tendency to mostly seek supportive colleagues, and a failure to check for dissenting viewpoints. An awareness of these three pitfalls may help clinicians improve patient care when practicing with colleagues.
Collapse
|
6
|
Pezzia C, Pugh JA, Lanham HJ, Leykum LK. Psychiatric consultation requests by inpatient medical teams: an observational study. BMC Health Serv Res 2018; 18:336. [PMID: 29739414 PMCID: PMC5941586 DOI: 10.1186/s12913-018-3171-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 05/01/2018] [Indexed: 11/10/2022] Open
Abstract
Background We describe the way psychiatric issues are addressed by inpatient medical teams through analysis of discussions of patients with behavioral health concerns and examination of teams’ subsequent consultation practices. Methods We observed morning rounds for nine inpatient medical teams for approximately month-long periods, for a total of 1941 observations. We compared discussions of patients admitted for behavioral health related medical conditions between those who did and did not receive a psychiatric consultation, developing categories to describe factors influencing consultation or other management. Results Out of 536 patients, 40 (7.5%) received a psychiatry consult. Evaluation of a known concern (i.e., substance use, affective disorder, or suicidal ideation) was the most common reason for referral (41.7%). Requests for medication review were second (30.6%). Thirty patients with concomitant behavioral and medical health issues did not receive a psychiatry consult. Cirrhosis with active substance use was the most common medical diagnosis (15), followed by alcohol withdrawal (9). Conclusions Four primary themes emerged from our data: positive identification of behavioral health issues by physicians, medication management as a primary reason for referral, patient preference in physician decision-making, and poor management of substance abuse. Our results identify two potential areas where skills-building for inpatient physicians could have a positive impact: management of medication and of substance abuse management.
Collapse
Affiliation(s)
- Carla Pezzia
- Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA. .,Department of Human Sciences in the Contemporary World, University of Dallas, 1845 East Northgate Drive, Irving, TX, 75062, USA.
| | - Jacqueline A Pugh
- Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,South Texas Veterans Health Care System, 7400 Merton Minter, San Antonio, TX, 78229, USA
| | - Holly J Lanham
- Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,South Texas Veterans Health Care System, 7400 Merton Minter, San Antonio, TX, 78229, USA.,McCombs School of Business, University of Texas At Austin, 2110 Speedway, Austin, TX, 78705, USA
| | - Luci K Leykum
- Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,South Texas Veterans Health Care System, 7400 Merton Minter, San Antonio, TX, 78229, USA
| |
Collapse
|
7
|
Penney LS, Leykum LK, Noël P, Finley EP, Lanham HJ, Pugh J. Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA. BMJ Open 2018; 8:e020169. [PMID: 29627815 PMCID: PMC5892745 DOI: 10.1136/bmjopen-2017-020169] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
INTRODUCTION Effective delivery of healthcare in complex systems requires managing interdependencies between professions and organisational units. Reducing 30-day hospital readmissions may be one of the most complex tasks that a healthcare system can undertake. We propose that these less than optimal outcomes are related to difficulties managing the complex interdependencies among organisational units and to a lack of effective sensemaking among individuals and organisational units regarding how best to coordinate patient needs. METHODS AND ANALYSIS This is a mixed method, multistepped study. We will conduct in-depth qualitative organisational case studies in 10 Veterans Health Administration facilities (6 with improving and 4 with worsening readmission rates), focusing on relationships, sensemaking and improvisation around care transition processes intended to reduce early readmissions. Data will be gathered through multiple methods (eg, chart reviews, surveys, interviews, observations) and analysed using analytic memos, qualitative coding and statistical analyses. We will construct an agent-based model based on those results to explore the influence of sensemaking and specific care transition processes on early readmissions. ETHICS AND DISSEMINATION Ethical approval has been obtained through the Institutional Review Board of the University of Texas Health Science Center at San Antonio (approval number: 14-258 hour). We will disseminate our findings in manuscripts in peer-reviewed journals, professional conferences and through short reports back to participating entities and stakeholders.
Collapse
Affiliation(s)
- Lauren S Penney
- Research Service, South Texas Veterans Health Care System, San Antonio, Texas, USA
- Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
| | - Luci K Leykum
- Research Service, South Texas Veterans Health Care System, San Antonio, Texas, USA
- Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
- Department of Information, Risk and Operations Management, McCombs School of Business, University of Texas, Austin, Texas, USA
| | - Polly Noël
- Department of Family and Community Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
| | - Erin P Finley
- Research Service, South Texas Veterans Health Care System, San Antonio, Texas, USA
- Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
- Department of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
| | - Holly Jordan Lanham
- Research Service, South Texas Veterans Health Care System, San Antonio, Texas, USA
- Department of Information, Risk and Operations Management, McCombs School of Business, University of Texas, Austin, Texas, USA
- Department of Family and Community Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
| | - Jacqueline Pugh
- Research Service, South Texas Veterans Health Care System, San Antonio, Texas, USA
- Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
| |
Collapse
|
8
|
Ratcliffe TA, Crabtree MA, Palmer RF, Pugh JA, Lanham HJ, Leykum LK. Service and Education: The Association Between Workload, Patient Complexity, and Teaching on Internal Medicine Inpatient Services. J Gen Intern Med 2018; 33:449-454. [PMID: 29392597 PMCID: PMC5880780 DOI: 10.1007/s11606-017-4302-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 10/31/2017] [Accepted: 12/28/2017] [Indexed: 10/18/2022]
Abstract
BACKGROUND Attending rounds remain the primary venue for formal teaching and learning at academic medical centers. Little is known about the effect of increasing clinical demands on teaching during attending rounds. OBJECTIVE To explore the relationships among teaching time, teaching topics, clinical workload, and patient complexity variables. DESIGN Observational study of medicine teaching teams from September 2008 through August 2014. Teams at two large teaching hospitals associated with a single medical school were observed for periods of 2 to 4 weeks. PARTICIPANTS Twelve medicine teaching teams consisting of one attending, one second- or third-year resident, two to three interns, and two to three medical students. MAIN MEASURES The study examined relationships between patient complexity (comorbidities, complications) and clinical workload variables (census, turnover) with educational measures. Teams were clustered based on clinical workload and patient complexity. Educational measures of interest were time spent teaching and number of teaching topics. Data were analyzed both at the daily observation level and across a given patient's admission. KEY RESULTS We observed 12 teams, 1994 discussions (approximately 373 h of rounds) of 563 patients over 244 observation days. Teams clustered into three groups: low patient complexity/high clinical workload, average patient complexity/low clinical workload, and high patient complexity/high clinical workload. Modest associations for team, patient complexity, and clinical workload variables were noted with total time spent teaching (9.1% of the variance in time spent teaching during a patient's admission; F[8,549] = 6.90, p < 0.001) and number of teaching topics (16% of the variance in the total number of teaching topics during a patient's admission; F[8,548] = 14.18, p < 0.001). CONCLUSIONS Clinical workload and patient complexity characteristics among teams were only modestly associated with total teaching time and teaching topics.
Collapse
Affiliation(s)
- Temple A Ratcliffe
- University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA. .,South Texas Veterans Health Care System, San Antonio, TX, USA.
| | | | - Raymond F Palmer
- University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA
| | - Jacqueline A Pugh
- University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA.,South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Holly J Lanham
- University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA.,South Texas Veterans Health Care System, San Antonio, TX, USA.,University of Texas at Austin, Austin, TX, USA
| | - Luci K Leykum
- University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA.,South Texas Veterans Health Care System, San Antonio, TX, USA.,University of Texas at Austin, Austin, TX, USA
| |
Collapse
|
9
|
Huynh C, Bowles D, Yen MS, Phillips A, Waller R, Hall L, Tu SP. Change implementation: the association of adaptive reserve and burnout among inpatient medicine physicians and nurses. J Interprof Care 2018; 32:549-555. [PMID: 29558229 DOI: 10.1080/13561820.2018.1451307] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Adaptive Reserve (AR) is positively associated with implementing change in ambulatory settings. Deficits in AR may lead to change fatigue or burnout. We studied the association of self-reported AR and burnout among providers to hospitalized medicine patients in an academic medical center. An electronic survey containing a 23-item Adaptive Reserve scale, burnout inventory, and demographic questions was sent to a convenience sample of nurses, house staff team members, and hospitalists. A total of 119 self-administered, online surveys collected from June 2014 to March 2015 were analyzed. Ordinal regression analyses were used to examine the association between AR and burnout. Eighty percent of participants reported either level 1 or 2 burnout. Additionally, 10.9% of participants responded level 0% and 7.6% of participants reported level 3. Participants reporting higher burnout were about three times more likely to report lower AR levels. AR is strongly associated with self-reported burnout by physicians and nurses providing inpatient care at this academic medical center. Growing evidence supports the positive association of AR to successful change implementation in ambulatory settings. Similar studies are needed to determine whether certain levels of AR can predict successful change in hospital settings.
Collapse
Affiliation(s)
- Christine Huynh
- a Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Darci Bowles
- b School of Nursing , Virginia Commonwealth University , Richmond , VA , USA
| | - Miao-Shan Yen
- c Department of Biostatistics , Virginia Commonwealth University , Richmond , VA , USA
| | - Allison Phillips
- a Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Rachel Waller
- a Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Lindsey Hall
- a Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Shin-Ping Tu
- a Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| |
Collapse
|
10
|
Aselmaa A, van Herk M, Laprie A, Nestle U, Götz I, Wiedenmann N, Schimek-Jasch T, Picaud F, Syrykh C, Cagetti LV, Jolnerovski M, Song Y, Goossens RH. Using a contextualized sensemaking model for interaction design: A case study of tumor contouring. J Biomed Inform 2017; 65:145-158. [DOI: 10.1016/j.jbi.2016.12.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 11/02/2016] [Accepted: 12/04/2016] [Indexed: 12/28/2022]
|
11
|
Capsule Commentary on Leykum et al., the Association Between Sensemaking During Physician Team Rounds and Hospitalized Patients' Outcomes. J Gen Intern Med 2015; 30:1853. [PMID: 26160479 PMCID: PMC4636576 DOI: 10.1007/s11606-015-3398-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|