Abstract
The current study examined the communication strategies used by undergraduate nursing students (N = 343) to express empathy during simulated health history interviews. Interacting with a virtual patient, students encountered up to 9 information disclosures that warranted the expression of empathy but recognized few (33.54%). Sophistication of language to express empathy varied depending on the disclosure topic. These findings suggest that empathy as a learned skill can be incorporated into a variety of nursing contexts.
Keywords: empathy, health communication, nursing education, virtual systems, virtual simulation
Empathy is the core of nurse-patient interactions, but identifying opportunities to express and communicate empathy requires training and practice (1). The development of empathy communication skills is critical for nursing students in particular as these skills directly contribute to patient satisfaction and improved health outcomes (1–3). Furthermore, communication training in nursing education can lead to improved health history interviewing skills and effective interactions with patients (4). To create standardized educational opportunities, nurse educators rely increasingly on virtual patients to provide simulations of clinical situations (5). Virtual patients are human-like avatars that can respond to questions and react to statements based on elaborate communication scripts.
Virtual patient simulations are particularly effective in the development of patient interviewing and therapeutic communication skills within a safe, non-threatening environment (3,6). Similar to standardized patients, virtual patients have been shown to have a significant positive effect on learning outcomes when compared to no intervention. At the same time, simulated education solutions have shown no significant difference in either learning outcomes or student satisfaction when compared with other simulation modalities (5). Yet, the use of virtual patient simulations has particular unique benefits that include the asynchronous, computer-based delivery of clinical situations, which eliminates the necessity for patient actor recruitment and training (7); the complete standardization of the patient encounter, which removes any possible subjectivity that may exist in simulations conducted with a human patient actor (8); and the transparency into student performance provided to instructors through verbatim transcripts of each interaction (9).
Communication and Empathy
During health assessments, patients may disclose information that requires departure from standard questioning. The ability to empathize in the context of a health care provision means being able to understand the inner experiences and feelings of patients, see a situation from their perspective, and communicate this understanding appropriately (10,11). Although nurses are likely to perceive a common goal of communicating empathy in response to these disclosures, to express empathy in response to these disclosures can be achieved through different communication strategies.
Message design logics, the theoretical framework for this study (12), provides a means to conceptualize how empathic responses could be evaluated. Focusing on the differences in language choices, the theory names 3 alternative message design logics—expressive, conventional, and rhetorical—that can be identified through message elements and used as a general approach for communication analysis. The sole purpose of expressive messages is to express what the speaker thinks or feels. Expressive messages are characterized by inappropriately posed, although potentially well-meaning remarks that can result in unintended communication outcomes. In patient-provider communication, for example, the use of expressive messages has been linked to poorer patient adherence to a medical regiment (13). Conventional messages target the social effect one wants to achieve through apologies, compliments, hedges, and excuses. In these conventional messages, speakers are focused on doing the things they are obligated or expected to do. Conventional messages can contain attempts to comfort the discloser and are most common in health communication contexts (14,15). Finally, rhetorical messages are not merely polite but also convey the importance of message receivers, their individuality, and their beliefs and values. The speaker’s goal in a rhetorical message is to create and negotiate social situations. For example, rhetorical responses to patients may suggest ways for the patients to accomplish their own goals while supporting patient-centered communication about health and illness (14).
A common communication goal in nursing is the expression of empathy in response to information shared by a patient. Message design logics has the utility for describing the level of sophistication of health care providers’ empathic responses to patient disclosures and explaining why in a similar situation, different people can generate different kinds of messages. The model also describes a hierarchical relationship among those types of design logics predicting that rhetorical messages are generally the most sophisticated followed by conventional and expressive. The characteristics of these logics can be identified through message elements and used as a general approach for message analysis.
The current study applies message design logics to examine the quality of nursing students’ empathic skills in response to patient information disclosures during a simulated health history interview. As such, we posed the following research questions: (1) To what extent were patient information disclosures recognized as opportunities to provide empathic support? (2) What message strategies were used by nursing students to express empathy? (3) How did the expression of empathy vary among patient information disclosures?
Method
Design
This study reports on a retrospective data analysis of transcripts of conversations between undergraduate nursing students and a virtual patient, Tina Jones (16). The transcripts were produced during a simulated health assessment; they contained questions and statements typed by nursing students and standardized pre-recorded responses from a virtual patient. The study was approved by an institutional review board prior to data analysis.
Sample
The data were obtained from 343 undergraduate nursing students. The students attended a Health Assessment course at nursing schools in 1 of 8 states (CA, CO, FL, IL, KS, NY, PA, and WI). The nursing schools included in the study were chosen based on the course instructors’ use of the simulation as a formative assessment for course credit. Courses ranged form 12–15 weeks and began in May 2015. The health history simulation was given as a homework assignment in the first or second week of the course. All students completing the assignment were included in the dataset. Complete demographic information is not available because the students were not required to provide it at the time of the simulation use.
Procedure
During the development of the educational script, six nursing educators identified nine patient disclosure situations as valid opportunities for a skilled nurse to express empathy. Depending on the questions asked during the exam, nursing students could encounter up to 9 patient disclosure opportunities that warranted the expression of empathy expected of nurses competent in communication with patients. Table 1 provides brief descriptions of each opportunity.
Table 1.
Situation number | Short Name | Description |
---|---|---|
1 | Expression of pain | Tina expresses frustration about her level of pain. |
2 | Impact of injury on daily life | Tina brings up her pain and frustration at how being unable to bear weight on her foot impacts her life. |
3 | Gaps in health literacy around diabetic diet | Tina describes controlling her diabetes by avoiding “sweets.” |
4 | Lack of treatment with diabetes medication | Tina reveals that she does not treat her diabetes with medication. |
5 | Lack of blood glucose monitoring | Tina reveals that she does not check her blood sugar. |
6 | Gaps in health literacy around asthma control | Tina describes increased inhaler use and decreased effectiveness, indicating that her asthma is uncontrolled. |
7 | Discomfort in discussing body image | Tina acts defensive when discussing her body. |
8 | Loss of a family member | Tina shares information about her father dying. |
9 | Counseling around past drug use | Tina discusses her past history of marijuana smoking. |
Reprinted with permission from Shadow Health, Inc., Gainesville, FL. Permission granted on May 5, 2015.
Throughout the virtual health assessment simulation, students typed questions to obtain health history information from the virtual patient, whose pre-programmed responses were enabled by a natural language processing solution. The simulation interface provided students with an opportunity to ask questions and provide statements by choosing one of the options: Ask, Emphasize, or Educate. Responding to the information shared by the patient, students labeled the statements they thought showed empathy. The data, therefore, included unambiguous indications of the students’ intent to be empathic as recorded by the students themselves.
Instrument
A codebook was developed to assess which message design logic was used in the statements that nursing students self-identified as empathic. Statements were coded as expressive, conventional, or rhetorical, assigning values of 1, 2, or 3 respectively. Conceptually, expressive messages are the least sophisticated, followed by conventional and then rhetorical. Therefore, assigned message logic values were treated as a scale representing different levels of empathy communication skills. If a student provided more than 1 empathic statement per opportunity, all statements were considered 1 unit of analysis and coded together.
The codebook operationalized expressive messages as repetitive mirroring of the patient’s disclosure, irrelevant statements, or not providing any conventionally expected words of empathy or understanding. Conventional messages were operationalized as statements that could be expected in general situations that call for the expression of empathy, understanding, or support. These statements addressed the disclosed information directly, but did not provide any suggestions or solutions that would help the patient move beyond the challenge of the disclosed situation. Finally, messages were coded as rhetorical if they contained a conventionally expected expression of empathy or support, and also provided the patient with an opportunity to find relief from or move beyond the disclosed situation. Table 2 provides short conversation examples to illustrate each message design logic.
Table 2.
Message design logic | Conceptual definition | Operationalization | Example |
---|---|---|---|
Expressive | Direct expression of speaker’s
thoughts and/or feelings Inappropriate message delivery Lack of the comprehension of the situation |
Mindless mirroring of patient’s
disclosure Irrelevant statements Lack of any conventionally expected words of empathy or understanding |
|
| |||
Conventional | Targeting of social effects and focus on social conventions, expectations, and obligations | Presence of statements that could be expected in general situations that call for the expression of empathy, understanding, or support |
|
| |||
Rhetorical | Focus on the importance of message receivers,
their individuality, beliefs, and values Negotiation and redefinition of social situations through communication |
Presence of a conventionally expected expression of empathy or support AND identification of an opportunity for the patient to find relief from or move beyond the disclosed situation |
|
Statement identified as empathic by a nursing student.
Reprinted with permission from Shadow Health, Inc., Gainesville, FL. Permission granted on May 5, 2015.
Data Analysis
Nursing students statements submitted and self-identified empathy statements. The statements were subsequently coded by 3 raters to assess the quality of the language that was used to express empathy. The raters with background in communication research who were blind to research questions received 20 hours of training. Once intercoder reliability was established, each rater coded the dataset in full. The coders achieved an overall acceptable reliability level across 9 opportunities (17), Krippendorf’s alpha=0.829, with intercoder reliability for individual opportunities ranging between 0.7 and 0.96. Coders and first author met weekly to review emerging questions related to code assignment and ensure face validity of the codebook. Subsequently, SPSS 24 for Windows was used for the descriptive and inferential statistical analyses. Chi-square test was used to answer research question 1, and ANOVAs for research questions 2 and 3.
Results
Out of 3,087 potential disclosures (9 for each of the 343 students), students encountered 1,625; of the disclosures encountered, students provided empathic responses to 33.54% (n=545) disclosures. On average, nursing students encountered 4.7 disclosures and provided empathic support to 1.6 disclosures per exam.
Successful recognition of opportunities to provide empathic support varied across the 9 disclosures, χ2 (8, N = 1,625) = 411.86, p < .01. Adjusted standardized residuals were reviewed to assess individual differences among the disclosures (18). Disclosures related to the patient’s pain, its impact on daily life, and the loss of an immediate family member were successfully recognized most frequently. The disclosures related to the lack of health literacy and poor diabetes management were encountered by students relatively often, but received fewer empathic statements. The frequency with which disclosures were encountered and responded to with empathic statements, and the number of empathic statements per disclosure, are presented in Table 3.
Table 3.
Patient Disclosure | Empathic Statement | |||
---|---|---|---|---|
Missed | Provided | TOTAL | ||
Expression of pain | N (%) M (SD) |
159 (46.4) | 184 (53.6) 2.22 (.61) |
343 |
Loss of a family member | N (%) M (SD) |
61 (25.1) | 178 (74.5) 1.99 (.34) |
239 |
Lack of treatment with diabetes medication | N (%) M (SD) |
182 (81.3) | 42 (18.8) 1.86 (.57) |
224 |
Gaps in health literacy around asthma control | N (%) M (SD) |
179 (92.3) | 15 (7.7) 1.40 (.51) |
194 |
Gaps in health literacy around diabetic diet | N (%) M (SD) |
163 (92.6) | 13 (7.4) 1.46 (.66) |
176 |
Lack of blood glucose monitoring | N (%) M (SD) |
140 (83.8) | 27 (16.2) 1.63 (.69) |
167 |
Counseling around past drug use | N (%) M (SD) |
102 (80.3) | 25 (19.7) 1.68 (.90) |
127 |
Impact of injury on daily life | N (%) M (SD) |
75 (60.0) | 50 (40.0) 2.04 (.70) |
125 |
Discomfort in discussing body image | N (%) M (SD) |
19 (63.3) | 11 (36.7) 2.27 (1.01) |
30 |
TOTAL | N (%) M (SD) |
1080 (66.5) | 545 (33.5) 2.01 (.61) |
1625 |
Across opportunities, nursing students were largely conventional in their empathic statements (M = 2.00, SD = .61, 95%, CI = [1.96, 2.06]) and recognized each of the 9 disclosure situations as opportunities to provide empathic support. However, the levels of empathy varied among disclosures, F (8, 536) = 9.97, p < .01. Empathic statements in response to pain complaints had relatively high scores, M = 2.23, SD = .61. Surprisingly, they were significantly higher than the empathy offered in response to the disclosure of a death in the patient’s family, M = 1.99, SD = .34, p < .01. The lowest empathy scores were associated with disclosure of uncontrolled asthma, M = 1.40, SD = .51. Empathy expressed during counseling around diabetes management, M = 1.63, SD = .69, and prior drug use, M = 1.68, SD = .90, were also lower than several other disclosures, including the disclosure of pain, impact of pain on daily life, death in the family, and body image discomfort. The empathy offered during the discussions of body image were the most polarized, M = 2.27, SD = 1.01. The empathy level scores for this opportunity were significantly higher than those for a number of other opportunities with the exception of the disclosure of pain and death in family.
Discussion
This study aimed to evaluate the communication strategies that nursing students use to express empathy during simulated health assessments. Similar simulated educational environments have shown that clinicians and trainees suspend their disbelief and effectively immerse themselves in the flow of virtual communication (19). As a result, simulated educational environments provide the benefits of training using standardized patients while fully controlling for similarity of patient responses and behaviors. Open-environment virtual clinical simulations can yield rich data on empathic attempts; however, the nature of the data generated can make automatic assessment of response quality problematic. Yet, from a communication perspective, the simulated environment ensures commonality in certain demands of the encounters; for instance, all participants encountered contexts that can be conventionally understood as calling for empathy.
In the absence of automated coding of the transcripts analyzed in this paper, students’ assessment was limited to the number of identified empathic opportunities. However, no feedback about the quality of students’ empathy responses was provided. This study showed that message design logics can be used successfully to assess empathy in patient-provider communication. The coding system developed in the current study can provide a framework for natural language processing and subsequent real-time evaluation of empathy communication skills in virtual education environments.
The application of the framework revealed that nursing students frequently missed opportunities to express empathy to their patient. However, when recognizing and responding with an empathic statement, nursing students were able to use conventional language appropriate for the situation. Expression of empathy varied depending on the type of information disclosed by the patient. The lower-level empathic statements made in response to poor diabetes or asthma control signal that nursing students may struggle with their understanding of patients’ challenges rooted in lower health literacy or self-efficacy for health management. Interestingly, this study showed that higher-level empathy was generally offered in response to the patient’s pain, but not for the death of a family member. The latter findings suggest that that nurses may control the level of engagement with patients depending on the information disclosed (20), which would have implications for the curriculum development for grief and loss communication education (21). Future research could also assess if empathy differs in response to physical or emotional pain, or if communication conventions related to death limit students’ ability to recognize such disclosures as opportunities to help redefine these challenging situations based on patients’ beliefs and values. Additionally, future studies are needed to develop and evaluate the curriculum that would provide nursing students with an opportunity to develop and practice communication skills.
Conclusion
Communication during health history interviews can have implications for health outcomes, and nursing students recognized opportunities to express empathy in a number of clinical situations. The variability in the quality of empathic responses demonstrates the need for communication skills education and assessment in nursing programs, and message design logics can serve as a reliable and theory-based evaluation framework for these purposes. These findings suggest that empathy as a learned skill can be incorporated into a variety of nursing contexts.
Acknowledgments
Conflict of interest statement: Krieger’s effort was supported in part by the University of Florida Clinical and Translational Science Institute, which is supported in part by the NIH National Center for Advancing Translational Sciences under award number UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. There are no other funding sources or financial disclosures to report.
References
- 1.Ward J. The Empathy Enigma: Does It Still Exist? Comparison of Empathy Using Students and Standardized Actors. Nurse Educ. 2016;41(3):134–138. doi: 10.1097/NNE.0000000000000236. [DOI] [PubMed] [Google Scholar]
- 2.Cronenwett L, Sherwood G, Barnsteiner J, et al. Quality and safety education for nurses. Nurs Outlook. 2007;55(3):122–131. doi: 10.1016/j.outlook.2007.02.006. [DOI] [PubMed] [Google Scholar]
- 3.Sweigart L, Burden M, Carlton KH, Fillwalk J. Virtual Simulations across Curriculum Prepare Nursing Students for Patient Interviews. Clin Simul Nurs. 2014;10(3):e139–e145. [Google Scholar]
- 4.Pattillo RE. How Are Your “Soft Skills”? Nurse Educ. 2013;38(2):80. [Google Scholar]
- 5.Cook DA, Erwin PJ, Triola MM. Computerized Virtual Patients in Health Professions Education: A Systematic Review and Meta-Analysis. Acad Med. 2010;85(10):1589–1602. doi: 10.1097/ACM.0b013e3181edfe13. [DOI] [PubMed] [Google Scholar]
- 6.Cendan J, Lok B. The use of virtual patients in medical school curricula. Adv Physiol Educ. 2012;36(1):48–53. doi: 10.1152/advan.00054.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.McKeon LM, Norris T, Cardell B, Britt T. Developing patient-centered care competencies among prelicensure nursing students using simulation. J Nurs Educ. 2009;48(12):711–715. doi: 10.3928/01484834-20091113-06. [DOI] [PubMed] [Google Scholar]
- 8.Consorti F, Mancuso R, Nocioni M, Piccolo A. Efficacy of virtual patients in medical education: A meta-analysis of randomized studies. Comput Educ. 2012;59(3):1001–1008. [Google Scholar]
- 9.Kelley CG. Using a virtual patient in an advanced assessment course. J Nurs Educ. 2015;54(4):228–231. doi: 10.3928/01484834-20150218-13. [DOI] [PubMed] [Google Scholar]
- 10.Hojat M, Gonnella JS, Nasca TJ, Mangione S, Vergare M, Magee M. Physician empathy: definition, components, measurement, and relationship to gender and specialty. Am J Psychiatry. 2002;159(9):1563–1569. doi: 10.1176/appi.ajp.159.9.1563. [DOI] [PubMed] [Google Scholar]
- 11.Reynolds WJ, Scott B. Do nurses and other professional helpers normally display much empathy? J Adv Nurs. 2000;31(1):226–234. doi: 10.1046/j.1365-2648.2000.01242.x. [DOI] [PubMed] [Google Scholar]
- 12.O’Keefe BJ. The logic of message design: Individual differences in reasoning about communication. Commun Monogr. 1988;55(1):80–103. [Google Scholar]
- 13.Lambert BL, Gillespie JL. Patient Perceptions of Pharmacy Students’ Hypertension Compliance-Gaining Messages: Effects of Message Design Logic and Content Themes. Health Commun. 1994;6(4):311–325. [Google Scholar]
- 14.Caughlin JP, Brashers DE, Ramey ME, Kosenko KA, Donovan-Kicken E, Bute JJ. The Message Design Logics of Responses to HIV Disclosures. Hum Commun Res. 2008;34(4):655–684. [Google Scholar]
- 15.Scott AM, Caughlin JP, Donovan-Kicken E, Mikucki-Enyart SL. Do Message Features Influence Responses to Depression Disclosure? A Message Design Logics Perspective. West J Commun. 2013;77(2):139–163. [Google Scholar]
- 16.Health Assessment Digital Clinical Experience. Gainesville, FL: Shadow Health; 2016. [Google Scholar]
- 17.Krippendorff K. Content Analysis: An Introduction to Its Methodology. SAGE; 2012. [Google Scholar]
- 18.Sharpe D. Your Chi-Square Test is Statistically Significant: Now What? Pract Assess Res Eval. 2015;20(8):1–10. [Google Scholar]
- 19.Bova FJ, Rajon DA, Friedman WA, et al. Mixed-Reality Simulation for Neurosurgical Procedures. Neurosurgery. 2013;73:S138–S145. doi: 10.1227/NEU.0000000000000113. [DOI] [PubMed] [Google Scholar]
- 20.Morse JM, Bottorff J, Anderson G, O’Brien B, Solberg S. Beyond empathy: expanding expressions of caring. J Adv Nurs. 2006;53(1):75–87. doi: 10.1111/j.1365-2648.2006.03677.x. [DOI] [PubMed] [Google Scholar]
- 21.Matzo ML, Sherman DW, Lo K, Egan KA, Grant M, Rhome A. Strategies for teaching loss, grief, and bereavement. Nurse Educ. 2003;28(2):71–76. doi: 10.1097/00006223-200303000-00009. [DOI] [PubMed] [Google Scholar]