The communications model of pain specifies that various contextual factors, unrelated to the pain experience, influence observers' interpretations of nonverbal pain expressions.30,31,61 Patient age is one such contextual factor. Observers provide higher pain estimates when assessing pain of older (age 65+ years) compared with younger adults.33,34,49 Although several other factors have been found to alter observers' assessment of younger adults' pain,15–17,47 the study of such influences within the context of the older adult has been limited. Our goal was to examine the impact of observers' training and priming information on observers' perceptions of nonverbal pain expressions of younger and older adults.
Health care professionals tend to provide lower estimates of others' pain compared with lay people.32,62 As such, we also explored differences in pain judgments of health care trainees compared with students not studying the health professions.
Beliefs in the genuineness of pain expressions modulate observers' judgments of pain. De Ruddere et al.17 demonstrated that participants who received priming information regarding the misuse of health care services provided significantly lower pain and likability ratings about adults aged 44 to 55 years. Given that younger adults represent the vast majority of the workforce21,77 and file the majority of financial compensation claims,2 information about the possible misuse of the health care/compensation system may differentially affect judgements about older vs younger patients.29 The influence of health system misuse priming on the assessment of older persons' pain, however, has not been investigated. Similarly, the influence of other types of primes (eg, pain undertreatment) has not been studied. As such, we explored the effects of 2 informational primes, in relation to a control prime, on observers' judgments about older vs younger patients. Consistent with De Ruddere et al.,17 the first prime included information about the possibility of deception due to secondary gain (misuse). The second prime, developed for this investigation, presented information regarding the prevalence and undertreatment of pain in older adults (undertreatment).
Consistent with previous research, it was hypothesized that: observers would judge older persons' pain higher than younger persons' pain (hypothesis I)33,34,49; advanced nursing students would provide lower pain ratings than nonhealth professional students (hypothesis II)32,62; the misuse prime would lead to lower valence ratings towards younger adults (hypothesis III)17; and the undertreatment prime would result in higher estimates towards older persons' pain (hypothesis IV).
Given past research showing that observers' ratings of deservingness of financial compensation in younger individuals are influenced by contextual factors,51 we explored whether this also occurs in the context of the older adults who are less likely to apply for injury-related financial compensation.51 We also explored the influence of patient sex on observers' perceptions given inconsistencies in the past literature.4,6,34,49,66,70,78 This was the first study to examine the interaction between priming conditions and observers' training on pain estimates. Because the valence of observer attitudes towards patients significantly influences observers' pain judgements,8,17,80,81 we also explored whether observers' valence ratings mediated the effects of the priming conditions on observers' pain judgements.
A power calculation with 1-beta of 0.80, an alpha level (α) of 0.05, and an assumed medium effect size22 was conducted focusing on the analysis requiring the greatest number of participants. It was determined that a sample of 162 would be required. After institutional ethics clearance, participants were recruited through advertisement posters, online postings, and in-class announcements. A total of 165 university students (82 advanced nursing students and 83 nonhealth professional students) were recruited and completed the study. Participants were compensated with $15.00. Inclusion criteria for nursing students were: (1) 3rd or 4th year university student enrolled in a nursing program, (2) 18 years and older, and (3) speak English fluently. Inclusion criteria for the nonhealth professional students were: (1) a university student not studying the health professions (ie, not in medicine, dentistry, nursing, etc.), (2) at least 20 years of age (this was selected to counterbalance the groups because nursing students were 3rd or 4th year and, therefore, likely to be at least 20 years of age), and (3) speak English fluently.
2.2. Apparatus and stimuli
2.2.1. Priming texts
Three priming texts about the pain and the health care system were used. The social deception prime (misuse prime) and neutral prime (control prime) were based on an investigation conducted by De Reddure et al.17 Minor alterations were made on the scripts (eg, changing “Belgium” to “Canada”). The control prime described the Canadian health care system. The misuse prime indicated that some individuals may deceive health care professionals and take advantage of the health care system. The prime script focusing on the undermanagement of pain in old age was developed for this study. This text also included information about the prevalence of pain in older persons and the availability of effective pain management strategies (see supplementary materials, Appendix A for texts, available at https://links.lww.com/PAIN/A631).
2.2.2. Stimulus videos
Videos of 16 different patients (8 adults aged 65 years and older and 8 adults aged 23-39 years) were selected from a larger pool of physiotherapy clinic outpatients' videos that included 48 videos of older adults and 16 videos of younger adults. The selection procedure is described below.
The videos depicted adults undergoing a safe standardized physiotherapy examination designed to identify painful areas.42,43 This assessment protocol has been used in past research42,43 and was completed by a licensed physical therapist. Video recordings were taken using a high definition camera, facing the participant directly attached overhead. All videos were edited and cropped so that just the patient's face was shown to reduce additional contextual factors (ie, additional body movements) that could influence ratings.
Because the patient may display several expressions of pain throughout the video, 2 research assistants reviewed the videos and identified the specific time that the peak pain expressions occurred. A total of 42 pain expressions were identified. Cohen's kappa coefficient was calculated because of the dichotomous nature of the rating scale (ie, “pain present” or “pain absent”). Good agreement was found between the 2 research assistants (κ = 0.78, 95%). Consistent with previous research, pain expressions were segmented into 10-second video segments.15,34
Subsequently, 2 research assistants coded the facial expressions using the Facial Action Coding System (FACS).20 The FACS quantifies 44 discrete facial movements, or action units (AUs), based on the functional anatomy of facial muscles.20 The FACS has been established as a sound method of quantifying pain-related facial activity.12,26,35,39,48 That is, facial expressions of pain have been differentiated from facial expressions during nonpainful events.35 Moreover, differences have also been identified between genuine and fake displays of pain.39 Most facial pain expressions are consistently accounted for in 6 AUs: brow lowering (AU4), cheek raising (AU6), lid tightening (AU7), nose wrinkling (AU9), upper lip raising (AU10), and eyes closed (AU43).48,60,63,64 Several of these actions consistently co-occur during pain expression; therefore, researchers have combined these AUs to create new actions.61,63 Cheek raising (AU6) and lid tightening (AU7) have been combined to create “orbit tightening” (AU6/7), and nose wrinkling (AU9) and upper lip raise (AU10) has been combined to create “levator tightening” (AU9/10). Thus, there are 4 facial actions that are most consistently related to pain: brow lowering (AU4), orbit tightening (AU6/7), levator tightening (AU9/10), and closing of the eye (AU43).64 These 4 facial actions reliably differentiate pain and nonpainful expressions and are significantly related to self-reported pain.26,59,63
Using the FACS, the research assistants used a scoring approach described by Prkachin and Solomon.59 This scoring approach has been validated in previous research involving both younger and older adults26,63,72 and focuses exclusively on pain-related AUs. This method leads to an overall pain expression score.59
All video segments were coded by 2 independent coders in a randomized order. Given the continuous nature of the derived FACS scores, interrater reliability of global pain expressions was assessed through simple correlation.25,64 Interrater reliability of global pain expression demonstrated good reliability, r = 0.94. The global pain expression score was then averaged between the 2 coders to result in an average global pain expression score for each video segment.
Once each pain expression was quantified, video segments were balanced by matching average global pain expression scores. Four videos from each age and sex group were selected, resulting in a total of 16 videos. The mean age of older males was 77 years, SD = 3; younger males was 26 years, SD = 2; older females was 82 years, SD = 4; and of younger females was 30 years, SD = 7. The global pain expressions across age and sex were not significantly different.
The stimulus videos were presented in a random order with 43-second intervals between each segment, which included prompts for participants to complete the rating scales. To reduce order effects, a second stimulus sequence was created using the same procedure but reversing the random order. Thus, 2 video stimuli were created, both approximately 15 minutes in length.
2.3.1. Visual analogue scales
Visual analogue scales (VASs) are widely used self-report measures of subjective experiences and have been demonstrated to be a valid and reliable method of assessing subjective experiences.7,24,27,44,82 Specifically, test–retest reliability of rating scales ranges from 0.50 to 0.83,7 and scores have been shown to be highly related to more comprehensive batteries of emotion/affective states.14 In terms of pain, VASs have been shown to be valid, as they are sensitive to small changes in pain intensity58 and are highly related with other self-report measures of pain (eg, the Descriptor Differential Scales and Pain Intensity Number Scale).18,82
Consistent with similar research designs,17,49,51 VASs were used to assess 6 variables. That is, participants were asked to rate the patients' pain intensity and pain unpleasantness. They were also asked to estimate the severity of the person's pain condition. Moreover, they were asked to rate their willingness to help and how much sympathy they felt towards the patient. Finally, participants were asked how deserving the patient was of financial compensation for his or her pain. Visual analogue scales' scores were recorded in centimeters.
2.3.2. Valence scale
Participants were asked to evaluate the patients in terms of how negative/positive they felt towards the individual. This is consistent with work by De Ruddere et al.,17 where observers were primed with information about the misuse of the health care system. Like this investigation, valence was evaluated with a 21-point Likert scale, where −10 represented “very negative,” 0 represented “neutral,” and +10 represented “very positive.” Similar rating scales have been used by several other research groups to assess participants' valence towards stimuli.13,46 This scale has been shown to be valid and reliable indicator of valence and sensitivity to change.13,17,46
2.3.3. Post-study questionnaire
At the end of the study, observers were asked to respond to one open-ended question regarding what they thought was the purpose of the study. This post-study questionnaire was developed for the purposes of this investigation to better assess whether participants were responding in a particular way as a function of beliefs that the priming scripts were intended to influence responses.
Participants were also asked to respond to 5 open-ended questions regarding what influenced their ratings. More specifically, observers were asked to list factors that influenced their ratings of pain, willingness to help, sympathy, patient deservingness of financial compensation, and how positively/negatively they felt towards the patient. This exit questionnaire was developed for exploratory purposes to better understand the factors that influenced participants' responses.
Before arriving to the laboratory, participants were randomly assigned through block randomization to either the misuse (n = 51), undertreatment (n = 42), or neutral-control (n = 58) priming texts. On arrival, they were screened for eligibility, and informed consent was obtained. Participants were then provided with the prime text to which they were randomized and asked to read the priming text. Once they had read the text, the prime was read again out loud by the experimenter, and all participants were asked whether they had any questions regarding the text. Subsequently, participants viewed the 16 videos. After each video, participants were prompted to complete the VASs and a valence rating.
Once all videos were viewed and measures were completed, participants were asked what they believed the purpose of the study was, to assess demand characteristics. Only 3 participants guessed that the priming scripts were related to the purpose of the study. These participants were not excluded from the study, as the very small sample was not sufficiently powered to alter results. At the end of the study, participants were asked to complete the post-study questionnaire. Participants were then debriefed on the nature of the study and thanked for their participation.
2.5.1. Quantitative data analyses
Demographic differences across priming conditions (control vs misuse vs undertreatment) with respect to age and level of education were tested using 1-way analyses of variance (ANOVAs). Independent samples t tests were conducted to compare the groups for differences in age and years of education (nursing students vs nonhealth professional students). Sex differences between observer type (nursing vs nonhealth professional students) and priming conditions (control vs misuse vs undertreatment) were tested using chi-square tests to ensure equal groups.
We first examined the correlation matrix among our dependent measures. High intercorrelations among these measures would lead us to conduct factor analytic data reduction procedures. After the data reduction, we conducted 3 (control vs misuse vs undertreatment) × 2 (nonhealth professional vs nursing students) × 2 (older vs younger patients) mixed-model ANOVAs to test for main and interaction effects related to observer professional background, patient age, and experimental condition on observers' ratings (eg, pain, sympathy, etc.). Significant univariate effects were followed with simple effects tests. For exploratory analyses, to examine the influence on patient sex (and associated interaction effects) on observers' ratings (eg, pain, sympathy, etc.), we planned additional 3 (control vs misuse vs undertreatment) × 2 (nonhealth professional vs nursing students) × 2 (male vs female patients) mixed-model ANOVAs. Significant univariate effects were followed with simple effect analyses.
Consistent with De Ruddere et al.,17 mediation analyses were conducted to examine the indirect role of valence ratings between priming conditions and observers' pain, sympathy, and help estimates. Indicator coding was used to transform the multicategorical predictor variable.36 Because there were 3 priming conditions (misuse, undertreatment, and control), 2 indicator variables were created (3 − 1 = 2; Fig. 1). To test the indirect effect of valence, a bootstrapping method (with 5000 resamples and 95% confidence intervals) was used.36 The bootstrapping method was selected because it is a nonparametric resample procedure that is more appropriate than the normal test (ie, the Sobel test) for investigations with smaller sample sizes.17,50,57,75
Figure 1 illustrates the coefficients that must be identified to conduct a mediation analysis. The relative direct effects of priming conditions have the weights c′1 and c′2. Relative indirect effects (through the mediator “valence ratings”) are represented by weights a1b and a2b. The effects of priming conditions on patient valence are represented by weights a1 and a2. The effect of valence scores on the outcome variable (eg, observed pain) is represented by weight b.36 The total effect (represented by weights c1 and c2) consists of both the relative direct (c′1 and c′2) and relative indirect (a1b and a2b) effects.
Consistent with bootstrap analyses, the relative indirect effects are significant if the bootstrap confidence interval excludes zero.36 Mediation is assumed if: (1) the total effects “c1” and/or “c2” and the relative indirect effects “a1b” and/or “a2b” are significant and (2) the relative direct effects “c′1” and/or “c′2” reduce significantly when controlling for the relative indirect effects “a1b” and “a2b.” Overemphasizing the relative direct effects “c′1” and/or “c′2,” however, can lead to inaccurate conclusions.73 Indirect effects “a1b” and/or “a2b” in the absence of total effects “c1” and/or “c2” can occur for several reasons including lack of power, measurement precision, and suppression effects of another variable.73 Therefore, a significant indirect effect is assumed if the total effects “c1” and/or “c2” are not significant, but the relative indirect effects “a1b” and/or “a2b” are significant.17,53
2.5.2. Narrative data analyses
Analyses of the post-study questionnaire were conducted using NVivo Software, version 10.67 Two complimentary narrative analyses' approaches, thematic analysis and quantitative content analysis, were used to analyze the data.74 Two researchers collaborated on the analyses to enhance trustworthiness and rigor of the results. To develop a coding framework, Braun and Clarke's5 stepwise method of thematic analysis was followed. The first stage involved both coders familiarising themselves with the data by reading all responses. Coders also generated initial ideas regarding observers' responses. After this phase, coders collaboratively established categories and detailed categorical descriptions to systematically code the data. The categorical framework was used to code the data using meaning units as the basis of analysis. Meaning units are the smallest amount of text that still contains meaning.55
With the established categorical framework, both researchers independently coded all participants' responses. Subsequently, the 2 researchers compared their data. Consistent with quantitative content analysis,41 percentage agreement and Cohen's kappa were calculated to assess interrater reliability.9,54 After comparisons were conducted, discrepancies were discussed. No changes to the framework were deemed necessary.
Consistent with Braun and Clarke's5 final stage, the 2 coders discussed their impressions of the themes that emerged across the categories. After discussions, the total frequencies for each theme were calculated.41 The frequency score represents the total number of times the observers reported the specified theme.
3.1. Demographic characteristics
A total of 83 nursing students, Mage = 23, SD = 3, and 82 nonhealth professional students, Mage = 24, SD = 5, completed the study. Of the 165 observers, 23 of them were male, 13 nonhealth professional students, and 10 nursing students. No significant differences were found across priming conditions or observer type with respect to participants' age and sex.
3.2. Data reduction
A correlational matrix was constructed for all observer ratings (Table 1). Given the conceptual relationships and high intercorrelations among the 3 pain estimates (pain intensity, pain unpleasantness, and condition pain severity) and the 3 sympathy and help ratings (willingness to help, financial compensation, and sympathy), we proceeded with a data reduction approach using factor analysis with oblique rotation and forcing a 2-factor solution. This rotation was appropriate because the correlation between our 2 factors exceeded 0.32.79 Valence was excluded from the factor analysis because we proposed to examine it as a possible mediator between the sympathy/help variables and the pain variables. The Kaiser–Meyer–Olkin measure verified sample size adequacy (Kaiser–Meyer–Olkin = 0.87), and the Bartlett test of sphericity indicated sufficiently large correlations between items for factor analysis, = 1136.33, P < 0.001. The resulting 2-factor solution explained 90.10% of the variance (Table 2) and was stable, given that factor loadings were greater than 0.50 and cross loadings were 0.32 or lower.11 Moreover, at least half of the items on each factor had loadings that were greater than 0.60.28 We labelled the first factor that included pain intensity, pain unpleasantness, and pain condition severity “Observed Pain.” The second factor, which included, willingness to help, financial compensation and sympathy ratings, was labelled “Sympathy and Help.” In line with the clearly defined 2-factor solution, we computed 2 new variables based on the average observer scores under each factor. To clarify, to use data reduction techniques to conduct mixed-model ANOVAs, or ANOVAs that include both between-subject factors (ie, priming conditions and observer type) and within-subject factors (ie, patient age and patient sex), observers' ratings of pain intensity, pain unpleasantness, and pain condition severity were averaged to create the “Observed Pain” factor score. Observers' ratings of sympathy, help, and patient deservingness for financial compensation were averaged to create the “Sympathy and Help” factor score. Internally generated factor scores do not differentiate scores for within-subject factor variables (ie, patient age and patient sex). As such, internally generated scores were not used because they would not allow for mixed-model analyses.
3.3. Observed pain estimates
Mean values and SDs are presented in Table 3. Consistent with hypothesis I, the 3 (control vs misuse vs undertreatment) × 2 (nursing vs nonhealth professional students) × 2 (older vs younger patients) mixed-model ANOVA demonstrated that observers endorsed significantly higher observed pain estimates towards older patients compared with younger patients, F1,159 = 384.13, P < 0.001, partial η2 = 0.71. There was also a significant interaction between patient age (younger vs older patients) and observer type (nursing vs nonhealth professional students), F1,159 = 7.40, P = 0.007, partial η2 = 0.04. No other significant effects were found.
Simple effect tests were conducted to clarify the identified 2-way interaction (patient age × observer type). Nonhealth professional students' ratings were significantly higher when evaluating pain expressions of older adults, M = 4.79, SD = 1.45, as compared to younger adults, M = 3.29, SD = 1.20, F1,159 = 250.64, P < 0.001, partial η2 = 0.61. Similarly, nursing students' ratings were significantly higher when evaluating pain expressions of older adults, M = 4.76, SD = 1.24, as compared to younger adults, M = 3.62, SD = 1.29, F1,159 = 141.53, P < 0.001, partial η2 = 0.47. In general, this interaction effect demonstrates that, although both nursing students and nonhealth care professional students rated observed pain higher in older adults as compared to younger adults, nursing students trended towards having higher ratings towards younger adults than nonhealth care professionals.
3.4. Sympathy and help estimates
Mean values and SDs are presented in Table 3. Consistent with hypothesis I, the 3 (control vs misuse vs undertreatment) × 2 (nursing vs nonhealth professional students) × 2 (older vs younger patients) mixed-model ANOVA demonstrated that observers reported significantly higher sympathy and help estimates towards older patients compared with younger patients, F1,159 = 415.17, P < 0.001, partial η2 = 0.72. There was also a significant interaction between patient age (younger vs older patients) and observer type (nursing vs nonhealth professional students), F1,159 = 15.91, P < 0.001, partial η2 = 0.09. No other significant effects were found. Simple effects tests were conducted to clarify the identified 2-way interaction (patient age × observer type).
Simple effects tests were conducted to clarify the identified 2-way interaction (patient age × observer type). Nonhealth professional students' ratings were significantly higher when evaluating pain expressions of older adults, M = 5.44, SD = 1.64, as compared to younger adults, M = 3.58, SD = 1.57, F1,159 = 299.07, P < 0.001, partial η2 = 0.65. Nursing students' ratings were also significantly higher when evaluating pain expressions of older adults, M = 5.63, SD = 1.57, as compared to younger adults, M = 4.83, SD = 1.74, F1,159 = 133.11, P < 0.001, partial η2 = 0.46. Moreover, nursing students provided significantly higher ratings when judging younger adults than nonhealth professional students, F1,159 = 9.64, P = 0.002, partial η2 = 0.06.
3.5. Valence ratings
Results demonstrated significant main effects for each independent variable (priming condition, observer type, and patient age). That is, participants rated videos of older adults significantly more positive than videos of younger adults, F1,159 = 55.69, P < 0.001, partial η2 = 0.26; nursing students reported significantly greater positive valence than nonhealth professional students, F1,159 = 7.20, P = 0.008, partial η2 = 0.04; and, valence ratings significantly differed depending on which priming text observers received, F2,159 = 7.61, P = 0.001, partial η2 = 0.09. In addition to these main effects, a 3-way interaction across priming conditions, observer type, and patient age was also observed, F2,159 = 3.43, P = 0.035, partial η2 = 0.04. Simple effects tests were conducted to clarify this 3-way interaction (patient age × observer type × priming condition).
Nonhealth professional students in the misuse condition reported significantly higher valence towards older adults, M = 2.41, SD = 1.86, than younger adults, M = 1.53, SD = 1.86, F1,159 = 10.06, P = 0.002, partial η2 = 0.06. Also consistent with hypotheses, both nursing students and nonhealth professional students reported significantly higher valence towards older adults, Mnonhealth professional = 3.80, SD = 2.62, Mnursing = 4.85, SD = 2.68, than younger adults in the undertreatment prime, Mnonhealth professional = 1.91, SD = 2.70, Mnursing = 4.17, SD = 2.84; F1,159, nursing = 5.75, P = 0.018, partial η2 = 0.04; F1,159, nonhealth professional = 44.07, P < 0.001, partial η2 = 0.22. Moreover, nursing students in the undertreatment priming condition reported higher valence towards older adults, F1,159 = 7.53, P = 0.001, partial η2 = 0.09, and younger adults, F1,159 = 6.78, P = 0.001, partial η2 = 0.08, than nursing students in the misuse condition, Molder = 2.39, SD = 2.22, Myounger = 1.90, SD = 1.73. Also, nursing students in the control condition reported significantly more positive valence to older adults, M = 3.49, SD = 2.21, than younger adults, M = 2.75, SD = 2.18, F1,159 = 7.16, P = 0.008, partial η2 = 0.04. Finally, nonhealth professional students in the undertreatment priming condition reported significantly lower valence towards younger adults than nursing students in the undertreatment priming condition, F1,159 = 13.16, P = 0.008, partial η2 = 0.08.
3.6. Mediation analysis: indirect effect of valence
Following the procedure described by Hayes and Preacher,36 a bootstrapping method (with 5000 resamples and 95% confidence intervals) was used to test valence ratings as a mediating variable in the relationships between the priming conditions and outcomes. Given that no main effects of observer type (nursing vs nonhealth professional students) were found on these outcomes, observer type was combined for analyses (ie, all responses were analyzed together). Before analyses were conducted, the multicategorical predictor variable (ie, priming condition) was coded using indicator coding procedures.36 Subsequently, 2 mediation analyses were conducted, one for observed pain estimates and one for sympathy and help estimates.
As displayed in Figure 1 and Table 4, results were in line with findings by De Ruddere et al.17 Bootstrapped analyses for valence as a mediator in the relationship between priming conditions and observed pain estimates did not demonstrate a total effect, c1 = −0.04, SE = 0.23, NS; c2 = 0.13, SE = 0.23, non-significant (NS). That is, relative to the control condition, neither the misuse condition nor the undertreatment condition was a significant predictor of observed pain estimates. A relative direct effect of undertreatment priming condition and valence ratings was identified, a2 = 1.02, SE = 0.43, P = 0.02, indicating that participants in the undertreatment condition reported more positive valence towards the individual in the video than those in the control condition. By contrast, a relative direct effect of the misuse priming condition on valence ratings was not found, a1 = −0.60, SE = 0.42, NS.
A relative direct effect of the priming condition on observed pain estimates was not found, c′1 = 0.09, SE = 0.22, NS; c′2 = −0.09, SE = 0.22, NS. Nonetheless, a direct effect of patient valence on observed pain estimates was found, b = 0.22, SE = 0.04, P < 0.01, showing that more positive valence was related with greater pain estimates. The relative indirect effect of the undertreatment priming condition on observed pain estimates through valence ratings was significant, as the bootstrapped confidence interval excluded zero, a2b = 0.22, SE = 0.12, 95% CI = 0.03 to 0.48. Yet, the relative indirect effect of the misuse priming condition on observed pain estimates through valence ratings was not significant, as the bootstrapped confidence interval did not exclude zero, a1b = −0.123, SE = 0.08, 95% CI = −0.31 to 0.03.
This same pattern of results was demonstrated with regards to sympathy and help estimates. More specifically, bootstrapped analyses for valence as a mediator in the relationship between priming conditions and sympathy and help estimates did not demonstrate a total effect, c1 = −0.10, SE = 0.30, NS; c2 = 0.18, SE = 0.30, NS. That is, relative to the control condition, neither the misuse condition nor the undertreatment condition was a significant predictor of sympathy and help estimates. A relative direct effect of undertreatment priming condition and valence ratings was identified, a2 = 1.02, SE = 0.43, P = 0.02, indicating that participants in the undertreatment condition reported more positive valence towards the individual in the video than those in the control condition. By contrast, a relative direct effect of the misuse priming condition on valence ratings was not found, a1 = −0.60, SE = 0.42, NS.
A relative direct effect of the priming condition on sympathy and help estimates was not found, c′1 = 0.12, SE = 0.26, NS; c′2 = −0.19, SE = 0.26, NS. Nonetheless, a direct effect of patient valence on sympathy and help estimates was found, b = 0.37, SE = 0.05, P < 0.01, showing that higher positive valence was related with greater sympathy and help estimates. The relative indirect effect of the undertreatment priming condition on sympathy and help estimates through valence ratings was significant, as the bootstrapped confidence interval excluded zero, a2b = 0.37, SE = 0.18, 95% CI = 0.05 to 0.73. Yet, the relative indirect effect of the misuse priming condition on sympathy and help estimates through valence ratings was not significant, as the bootstrapped confidence interval did not exclude zero, a1b = −0.22, SE = 0.14, 95% CI = −0.51 to 0.05.
These results demonstrate that valence ratings significantly and indirectly affected the relationship between the undertreatment priming condition and observed pain as well as sympathy and help estimates. That is, relative to the control condition, participants in the undertreatment priming condition reported feeling more positively towards patients, which led to higher ratings of observed pain, sympathy, and help. Valence was not found to indirectly influence the relationship between the misuse priming condition and observers' pain or sympathy and help estimates.
3.7. Exploratory analyses: patient sex
3.7.1. Observed pain
The 3 (control vs misuse vs undertreatment) × 2 (nursing vs nonhealth professional students) × 2 (female vs male patients) mixed-model ANOVA demonstrated a significant univariate within-subject effect (female vs male patients), F1,159 = 123.10, P < 0.001, partial η2 = 0.44. That is, observers' pain estimates were higher towards male patients, M = 4.43, SD = 1.23, compared with female patients, M = 3.80, SD = 1.32. No other main effects or interactions were significant.
3.7.2. Sympathy and help
The 3 (control vs misuse vs undertreatment) × 2 (nursing vs nonhealth professional students) × 2 (female vs male patients) mixed-model ANOVA demonstrated a significant univariate within-subjects effect (female vs male patients), F1,159 = 67.37, P < 0.001, partial η2 = 0.30. That is, observers' sympathy and help estimates were higher towards male patients, M = 5.00, SD = 1.50, compared with female patients, M = 4.51, SD = 1.72. No other main effects or interactions were significant.
3.7.3. Valence ratings
Based on the ANOVA test, observers' valence ratings were not found to differ as a function of patient sex, Mmale = 2.74, SD = 2.31; Mfemale = 2.85, SD = 2.45. The 2-way interaction between patient sex (male vs female) and observer type (nursing vs nonhealth professional students), F1,159 = 8.03, P = 0.005, partial η2 = 0.05, was found. No other interactions were found. Simple effects tests were conducted to clarify the 2-way interaction (patient sex × observer type). Nursing students rated male patients more positively, M = 3.01, SD = 2.40, than nonhealth professional students, M = 2.40, SD = 2.18, F1,159 = 4.03, P = 0.046, partial η2 = 0.03. In addition, nursing students rated female patients more positively, M = 3.43, SD = 2.52, than nonhealth professional students, M = 2.28, SD = 2.25, F1,159 = 10.31, P = 0.002, partial η2 = 0.06. Nursing students rated females more positively than videos of males, F1,159 = 8.83, P = 0.003, partial η2 = 0.05, whereas nonhealth professional students' valence ratings did not significantly differ as a function of the patient sex, F1,159 = 1.06, NS.
3.8. Overview of narrative analysis results
A coding framework was developed following Braun and Clarke's5 stepwise methods and 2 researchers coded the data independently. Percentage agreement and Cohen's kappa demonstrated good to excellent reliability (percentage agreement = 97%, κ = 0.57).9,54
Results from thematic and content analyses are displayed in Figure 2. Overall, observers indicated that their ratings varied as a function of several factors. Observers did not specify whether these factors increased or decreased their ratings. As such, the purpose of these analyses was to develop a list of factors that observers indicated influenced their ratings. Grounded in observers' responses, results were divided into 2 categories: (1) observable pain-related changes and (2) non–pain-related factors. Distinct themes emerged within each category (see supplementary materials, Appendix B for examples of quotations, available at https://links.lww.com/PAIN/A631).
3.8.1. Observable pain-related changes
Based on the results of the quantitative content analysis, observers indicated that their ratings varied as a function of numerous pain-related changes. The most frequently identified observable changes were “general pain expressed” and “facial movements.” Observers' frequently identified “pain intensity” and “general changes in patient's facial expression” as variables that influenced their ratings. Participants also specified that their ratings were influenced by other observable changes including, but not limited to, eye and mouth movements, laughing or smiling, bodily movements, and changes in breathing.
3.8.2. Non–pain-related characteristics
Based on the results of the content analysis, we identified 3 categories of potential influence: (1) patient-level personal characteristics; (2) observers' general impressions of patients; and (3) additional contextual characteristics (see supplementary materials, Appendix B for examples of quotations, available at https://links.lww.com/PAIN/A631).
3.8.3. Patient-level personal characteristics
According to quantitative analyses, observers frequently noted that their ratings varied as a function of non–pain-related characteristics of the patients. They often reported, for instance, that the patient's sex and age moderated their ratings. Observers also noted that their ratings differed as a function of the patient's general physical characteristics, such as being “well groomed.”
3.8.4. Observers' general impressions of patients
Observers reported that their ratings varied as a function of general inferences they made about the patient. In other words, they made general judgements about the patient, which then influenced their specific ratings. The most frequently identified theme was observers' general impressions of how helpless patients were in coping with their pain. Observers also inferred, as potential influences on their ratings, the extent to which patients appeared willing to receive help, how sympathetic observers felt towards patients, and their overall impression (ie, positive or negative valence) of patients. Although less frequently identified, observers noted that their ratings were influenced by the extent to which they perceived the patient as faking or exaggerating their pain experience. Finally, observers indicated that perceiving patients as withholding pain expressions or suppressing the experience also affected their ratings.
3.8.5. Additional contextual characteristics
Observers indicated that their ratings varied as a function of supplementary information as well as beliefs and attitudes. That is, additional information that extended beyond the information presented in each distinct stimulus video (eg, previous life experiences/beliefs, comparisons with others' pain, informational primes). The most frequently identified theme was observers' own personal experiences and beliefs. For example, observers noted that their previous experiences influenced their ratings of the videos (eg, whether the individual reminded them of a friend/grandparent). Although less frequently noted, participants also stated that their ratings were affected when they compared the patient's experience with previous patients' expressions. Finally, the informational priming texts were noted to influence ratings by a small number of observers.
4.1. Overview of findings
We examined the influence of contextual features on pain judgements. An important contribution of this research was the evaluation of the effect of informational primes on observers' evaluation of older persons' pain. Another novel feature was the exploration of observers' judgements of others' pain as a function of interactions across multiple contextual variables. Considering the role of several contextual factors (eg, priming information, patient age, and observer type) provides a more precise characterization of the influence of such variables on the interpretation of pain expressions.
Table 5 summarizes central findings. Observers rated older persons as experiencing greater pain than younger adults, emphasizing the importance of examining judgements from a lifespan perspective. An unexpected relationship between observer type and patient age was also identified; nursing students ascribed greater sympathy and help to younger adults than nonhealth professional students. As hypothesized, priming observers with information about the misuse of the health care system attenuated their valence ratings of younger patients, whereas priming observers about the undertreatment of pain in older persons increased their valence ratings of older patients. Consistent with previous research,8,17,80,81 observers' valence towards patients significantly influenced their estimations of pain as well as sympathy and help. In addition, observers rated male patients' pain higher. Results of narrative data supported quantitative findings, suggesting that observers' judgements are influenced by a variety of non–pain-related factors. In general, findings enhance the specificity of theoretical understandings of pain and demonstrate that patient and observer characteristics, as well as informational primes, significantly moderate observers' judgements of pain expressions.
4.2. The role of patient age and observer type
As hypothesized,33,34,49,52 observers ascribed higher observed pain, sympathy, and help to older patients compared with younger patients. One contributing factor to this finding may be commonly held stereotypes about older individuals, such as the belief that older persons are less healthy than younger persons.37,38,40,52 These common stereotypes may increase observers' sensitivity towards older persons' nonverbal pain cues.52 Future research should aim to clarify the mechanisms that influence observers' estimates of older persons' pain.
An unexpected interaction between observer type and patient age was identified. Nursing students provided greater sympathy and help ratings to younger patients compared with nonhealth professional students. These findings conflict with results from previous investigations where practicing health care professionals provided lower estimates of others' pain compared with lay people.32,62 Several studies, however, have failed to replicate this underestimation bias.1,49,56 Prkachin et al.65 proposed that the underestimation effect was a result of health care professionals' increased exposure to high amounts of pain that, subsequently, biases them against identifying pain in others. Consequently, the limited clinical experience in the present sample may have contributed to the unexpected finding.
4.3. The role of informational primes
Ratings of valence varied as a function of a 3-way interaction across priming condition, patient age, and observer type. As expected, results demonstrated that both nursing and nonhealth professional students in the undertreatment prime condition rated older patients more positively than younger patients. In addition, nursing students in the undertreatment priming condition reported more positive valence towards older adults than nursing students in the misuse condition. These results highlight the positive influence of priming about undertreatment on observers' valence towards older patients. Moreover, findings demonstrate that, compared with nonhealth professional students, nursing students' valence was more greatly influenced by the undertreatment prime. A potential explanation is that nursing students are more sensitive to information about the undertreatment of health conditions in vulnerable populations, given that nursing students' years in training is positively related to favourable attitudes towards older persons.76
Consistent with hypotheses, nursing students in the misuse priming condition reported less positive valence towards younger adults than nursing students in the undertreatment condition. In addition, nonhealth professional students in the misuse condition reported significantly less positive valence towards younger compared with older patients. These findings are consistent with previous research, where inferring that patients' pain expressions are insincere, reduced judges' willingness to attribute pain, and offer assistance.17,47,56 Results from this study contribute to the literature by demonstrating that priming observers about the misuse of the health care system exclusively reduced positive valence towards younger patients. This is not surprising because younger adults compose most of the active work force and, therefore, are more likely to require vocational financial compensation due to missed work.77
4.4. The indirect effect of valence
Priming with information about the undertreatment of pain in older adults was associated with more positive valence towards patients. In turn, greater positive valence was correlated with higher pain, sympathy, and help judgements to all patients. This indirect relationship is in line with results from several researchers who have demonstrated the significant role of valence in pain estimates.8,17,80,81 These investigations have revealed that observers attribute higher pain, distress, and disability scores to more likable patients.8,80 Interestingly, the undertreatment prime positively influenced observers' ratings of all persons, despite this prime's specific focus on older persons' pain. Consistent with the spreading-activation theory,10,23,45 it is speculated that information about the undertreatment of older persons' pain may have activated semantically related concepts (eg, undertreatment of younger person's pain), which prompted observers to display a heightened sensitivity to all persons' pain. More research is needed to explore the indirect influence of valence on pain estimates.
4.5. The influence of patient sex
Observers rated males higher than females on pain, sympathy, and help. This sex effect was strong across all indicators, except for valence ratings. In general, these results contribute to the mixed body of literature regarding the impact of patient sex on observers' interpretations of their pain.4,34,66,68,71,78 The discrepancies in the literature are currently not well understood and could be due to methodological differences across studies, including study-specific features. For instance, observers in the present investigation were primarily young women, which was not the case in other studies. More research is needed to clarify patient sex effects.
4.6. Findings based on narrative data
Analysis of narrative data supported quantitative findings and the influence of contextual features on observers' interpretations of pain. Observers most frequently indicated that patients' demographic characteristics influenced their ratings. This is consistent with findings of the quantitative analyses, showing that observers' ratings differed as a function of patients' sex and age. In addition, observers documented various other contextual features that influenced their ratings, including their own beliefs. General trends suggest that some influences had a more widespread impact than others. For instance, observers reported that “pain expressed” and “patient demographics” influenced their observed pain, sympathy, and help ratings. By contrast, other characteristics (eg, “bracing”) were mentioned less frequently and more exclusively in the context of pain ratings. This may suggest that some contextual factors (eg, patient age) have a more pervasive influence on observers' judgement than other factors.
4.7. Theoretical contributions
Findings from this study add specificity to the communications model of pain by clarifying the influence of specific contextual factors on decoding nonverbal pain expressions. The consideration of multiple variables and interactions across variables allows for a more comprehensive description of the factors that influence pain communication. For instance, the combination of observer type and patient age moderated observers' ratings of sympathy and help. These results emphasize the intricate relationships across contextual factors and the influence of combinations of variables on pain decoding.
Moreover, results identified unique factors that impact the decoding of older and younger persons' pain experience. Observers primed with information about the misuse of the health care system attributed lower pain to younger patients, whereas priming information about the undertreatment of pain in older persons had a positive influence on observers' ratings of older persons' pain. In general, these findings suggest that specific contextual variables influence pain decoding differently depending on the age of the person expressing pain.
Because our observers were predominantly young females in university, future research should test the impact of these contextual factors in a more diverse sample of observers. This is particularly relevant, as observer and patient characteristics are known to influence pain decoding.19,25 Researchers may also evaluate the influence of additional contextual features, such as observers' ethnicity and sex.3,69 There would also be value in using manipulation checks in future research to ensure that experimental primes are perceived as intended. An additional limitation was the lack of information yielded regarding the relationship between pain judgements and clinical decisions. Clinical research evaluating health care professionals' behaviour is needed to examine the ecological validity of the present findings.
This investigation expanded our current understanding of the influence of contextual factors in decoding pain. Unique conceptual and methodological features of this study provide greater meaning to the results and allow for increased specificity in the communications model of pain.31,61 Results suggest that informational primes, observer-level factors, and patient characteristics all interact to influence observers' interpretations of pain expressions. Moreover, likeability of patients was found to indirectly influence observers' willingness to attribute pain, sympathy, and help. These results highlight the complexity of pain decoding and identify unique combinations of variables that influence perceptions of others' pain.
Conflict of interest statement
The authors have no conflicts of interest to declare.
This research was supported through grants from the AGE WELL Network of National Centres of Excellence (#WP6.3), the Canadian Institutes of Health Research (#201403), and the Saskatchewan Health Research Foundation (#2908). Amy Hampton was supported by a Health Professional Student Research Award and a Graduate Scholarship awarded by the University of Regina Faculty of Graduate Studies and Research.
The authors thank Reihaneh Ahmadi, Delaine Ammaturo-Shackleton, Erin Browne, and Natasha Gallant for her help with the coding of facial expressions.
Appendix A. Supplemental digital content
Supplemental digital content associated with this article can be found online at https://links.lww.com/PAIN/A631.
Supplemental video content
Video content associated with this article can be found online at https://links.lww.com/PAIN/A632.
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