Response shift results of quantitative research using patient-reported outcome measures: a descriptive systematic review.

PURPOSE: The objective of this systematic review was to describe the prevalence and magnitude of response shift effects, for different response shift methods, populations, study designs, and patient-reported outcome measures (PROM)s. METHODS: A literature search was performed in MEDLINE, PSYCINFO, CINAHL, EMBASE, Social Science Citation Index, and Dissertations & Theses Global to identify longitudinal quantitative studies that examined response shift using PROMs, published before 2021. The magnitude of each response shift effect (effect sizes, R-squared or percentage of respondents with response shift) was ascertained based on reported statistical information or as stated in the manuscript. Prevalence and magnitudes of response shift effects were summarized at two levels of analysis (study and effect levels), for recalibration and reprioritization/reconceptualization separately, and for different response shift methods, and population, study design, and PROM characteristics. Analyses were conducted twice: (a) including all studies and samples, and (b) including only unrelated studies and independent samples. RESULTS: Of the 150 included studies, 130 (86.7%) detected response shift effects. Of the 4868 effects investigated, 793 (16.3%) revealed response shift. Effect sizes could be determined for 105 (70.0%) of the studies for a total of 1130 effects, of which 537 (47.5%) resulted in detection of response shift. Whereas effect sizes varied widely, most median recalibration effect sizes (Cohen's d) were between 0.20 and 0.30 and median reprioritization/reconceptualization effect sizes rarely exceeded 0.15, across the characteristics. Similar results were obtained from unrelated studies. CONCLUSION: The results draw attention to the need to focus on understanding variability in response shift results: Who experience response shifts, to what extent, and under which circumstances?

Implications of the syntheses on definition, theory, and methods conducted by the Response Shift - in Sync Working Group.

PURPOSE: Our aim is to advance response shift research by explicating the implications of published syntheses by the Response Shift - in Sync Working Group in an integrative way and suggesting ways for improving the quality of future response shift studies. METHODS: Members of the Working Group further discussed the syntheses of the literature on definitions, theoretical underpinnings, operationalizations, and response shift methods. They outlined areas in need of further explication and refinement, and delineated additional implications for future research. RESULTS: First, the proposed response shift definition was further specified and its implications for the interpretation of results explicated in relation to former, published definitions. Second, the proposed theoretical model was further explained in relation to previous theoretical models and its implications for formulating research objectives highlighted. Third, ways to explore alternative explanations per response shift method and their implications for response shift detection and explanation were delineated. The implications of the diversity of the response shift methods for response shift research were presented. Fourth, the implications of the need to enhance the quality and reporting of the response shift studies for future research were sketched. CONCLUSION: With our work, we intend to contribute to a common language regarding response shift definitions, theory, and methods. By elucidating some of the major implications of earlier work, we hope to advance response shift research.

Response Shift After Cognitive Behavioral Therapy Targeting Severe Fatigue: Explorative Analysis of Three Randomized Controlled Trials.

BACKGROUND: Cognitive behavioral therapy (CBT) is an evidence-based intervention for severe fatigue. Changes in patients' fatigue scores following CBT might reflect not only the intended relief in fatigue but also response shift, a change in the meaning of patients' self-evaluation. Objectives were to (1) identify the occurrence of response shift in patients undergoing CBT, (2) determine the impact of response shift on the intervention effect, and (3) investigate whether changes in fatigue-related cognitions and perceptions, targeted during CBT, are associated with response shift. METHODS: Data of three randomized controlled trials testing the efficacy of CBT in individuals with chronic fatigue syndrome (CFS, n = 222), cancer (n = 123), and diabetes (n = 107) were re-analyzed. Fatigue severity was measured with 8 items from the Checklist Individual Strength, a valid and widely used self-report questionnaire. Structural equation modelling was applied to assess lack of longitudinal measurement invariance, as indication of response shift. RESULTS: As expected, in all three trials, response shift was indicated in the CBT groups, not the control groups. Response shift through reprioritization was indicated for the items "Physically, I feel exhausted" (CFS) and "I tire easily" (cancer, diabetes), which became less vs. more important to the measurement of fatigue, respectively. However, this did not affect the intervention effects. Some changes in cognitions and perceptions were associated with the response shifts. CONCLUSIONS: CBT seems to induce response shift through reprioritization across patient groups, but its occurrence does not affect the intervention effect. Future research should corroborate these findings and investigate whether patients indeed change their understanding of fatigue.

Response shift after coronary revascularization.

PURPOSE: The aims of this study were to investigate (1) the extent to which response shift occurs among patients with coronary artery disease (CAD) after coronary revascularization, (2) whether the assessment of changes in health-related quality of life (HRQoL), controlled for response shift, yield more valid estimates of changes in HRQoL, as indicated by stronger associations with criterion measures of change, than without controlling for response shift, and (3) if occurrences of response shift are related to patient characteristics. METHODS: Patients with CAD completed the SF-36 and the Seattle Angina Questionnaire (SAQ7) at baseline and 3 months after coronary revascularization. Sociodemographic, clinical and psychosocial variables were measured with the patient version of the New York Heart Association-class, Subjective Significance Questionnaire, Reconstruction of Life Events Questionnaire (RE-LIFE), and HEXACO personality inventory. Oort's Structural Equation Modeling (SEM) approach was used to investigate response shift. RESULTS: 191 patient completed questionnaires at baseline and at 3 months after treatment. The SF-36 showed recalibration and reprioritization response shift and the SAQ7 reconceptualization response shift. Controlling for these response shift effects did not result in more valid estimates of change. One significant association was found between reprioritization response shift and complete integration of having CAD into their life story, as indicated by the RE-LIFE. CONCLUSION: Results indicate response shift in HRQoL following coronary revascularization. While we did not find an impact of response shift on the estimates of change, the SEM approach provides a more comprehensive insight into the different types of change in HRQoL following coronary revascularization.

Condition or cognition? Mechanism of change in fatigue in a randomized controlled trial of graded exercise therapy or cognitive behavior therapy for severe fatigue in patients with advanced cancer.

OBJECTIVE: Fatigue remains one of the most common and distressing symptoms during treatment for advanced cancer. The TIRED trial demonstrated cognitive behavior therapy's (CBT) significant and clinically relevant effects to reduce fatigue among patients with advanced cancer, while graded exercise therapy (GET) did not prove beneficial. The present study aims to determine the mechanisms by which CBT and GET affect fatigue. METHOD: The TIRED trial randomized 134 patients with advanced cancer to CBT (n = 46), GET (n = 42), or usual care (n = 46). At 14 weeks, 126 evaluable patients provided fatigue data and of those 117 received ≥1 CBT or GET session or usual care. We tested a prespecified multiple mediation model with four potential mediators (physical activity, exercise capacity, self-efficacy, and fatigue catastrophizing) assessed at baseline and at 14 weeks. Post-hoc analyses also included perceived physical activity and emotional functioning as potential mediators. RESULTS: A total of 82 of 117 patients completed all required measures. CBT reduced fatigue indirectly through its effect on self-efficacy, ab = -3.292; 97.5% bootstrap CI [-6.518 to -0.598]. CBT participants experienced an increase in fatigue self-efficacy, with greater self-efficacy associated with decreased fatigue severity. There was no evidence that changes in physical activity, exercise capacity, perceived physical activity, fatigue catastrophizing, or emotional functioning mediated CBT's or GET's effects on fatigue. CONCLUSIONS: The effect of CBT was attributable to changes in cognition, that is, increased self-efficacy led to reduced fatigue severity. No significant mediators for GET were found. The findings inform further refinement of interventions for fatigue in this seriously ill population. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Critical examination of current response shift methods and proposal for advancing new methods.

PURPOSE: This work is part of an international, interdisciplinary initiative to synthesize research on response shift in results of patient-reported outcome measures. The objective is to critically examine current response shift methods. We additionally propose advancing new methods that address the limitations of extant methods. METHODS: Based on literature reviews, this critical examination comprises design-based, qualitative, individualized, and preference-based methods, latent variable models, and other statistical methods. We critically appraised their definition, operationalization, the type of response shift they can detect, whether they can adjust for and explain response shift, their assumptions, and alternative explanations. Overall limitations requiring new methods were identified. RESULTS: We examined 11 methods that aim to operationalize response shift, by assessing change in the meaning of one's self-evaluation. Six of these methods distinguish between change in observed measurements (observed change) and change in the construct that was intended to be measured (target change). The methods use either (sub)group-based or individual-level analysis, or a combination. All methods have underlying assumptions to be met and alternative explanations for the inferred response shift effects. We highlighted the need to address the interpretation of the results as response shift and proposed advancing new methods handling individual variation in change over time and multiple time points. CONCLUSION: No single response shift method is optimal; each method has strengths and limitations. Additionally, extra steps need to be taken to correctly interpret the results. Advancing new methods and conducting computer simulation studies that compare methods are recommended to move response shift research forward.

Analytical power calculations for structural equation modeling: A tutorial and Shiny app.

Conducting a power analysis can be challenging for researchers who plan to analyze their data using structural equation models (SEMs), particularly when Monte Carlo methods are used to obtain power. In this tutorial, we explain how power calculations without Monte Carlo methods for the χ2 test and the RMSEA tests of (not-)close fit can be conducted using the Shiny app "power4SEM". power4SEM facilitates power calculations for SEM using two methods that are not computationally intensive and that focus on model fit instead of the statistical significance of (functions of) parameters. These are the method proposed by Satorra and Saris (Psychometrika 50(1), 83-90, 1985) for power calculations of the likelihood ratio test, and that described by MacCallum, Browne, and Sugawara (Psychol Methods 1(2) 130-149, 1996) for RMSEA-based power calculations. We illustrate the use of power4SEM with examples of power analyses for path models, factor models, and a latent growth model.

Tailored communication for older patients with cancer: Using cluster analysis to identify patient profiles based on information needs.

INTRODUCTION: Understanding how information needs of older patients with cancer vary is essential for patient-centered communication. Little research has considered the potential complex patterns in information needs among older patients with cancer. This study aims to identify profiles of older patients with cancer based on differences in their information needs. MATERIALS AND METHODS: Two-hundred and twenty-three patients with cancer and survivors aged 70 years or older completed an online survey. Based on an extensive scoping review, we included measures on information needs (i.e., monitoring coping style and type of information needs as measured with QUOTE) and related factors (i.e., psychological distress, ability, motivation, participation in decision making, and demographics). Profiles were identified using k-means cluster analysis. RESULTS: Analysis revealed three profiles of older patients with cancer exhibiting differences in monitoring coping style and type of information needs: the so-called "information seeker" (38.8%), the "listener" (47.2%), and the "information avoider" (14.0%). Besides differences in information needs, the profiles differed on psychological distress (i.e., intrusive thinking, cancer worry, and intolerance of uncertainty), ability (i.e., self-efficacy in interaction with physician), and motivation (i.e., information goals and future time perspective). DISCUSSION: Our findings revealed a nuanced perspective to information needs of older patients with cancer by combining two measurements of information needs with factors contributing to these needs. Clinicians could use these results to increase their awareness of the complexity and heterogeneity of information needs in older patients with cancer and to tailor their information to the needs of older patients.

Temporal stability of symptoms of affective disorders, cognitive vulnerability and personality over time.

BACKGROUND: Signs and symptoms of psychopathology can be chronic but are generally regarded as less stable over time than markers of cognitive vulnerability and personality. Some findings suggest that these differences in temporal stability are modest in size but a rigorous examination across concepts is lacking. The current study investigated the temporal stability of affective symptoms, cognitive vulnerability markers and personality traits at various assessments over nine years. METHODS: Participants of the Netherlands Study of Depression and Anxiety were assessed at baseline and reassessed after 2, 4, 6 and 9 years. They were grouped on the basis of waves of depression and anxiety CIDI-diagnoses into stable healthy (n = 768), stable patients (n = 352) and unstable patients (n = 821). We determined temporal stability by calculating intraclass correlation coefficients (ICC) and consistency indices of latent state-trait analyses (LST). RESULTS: Temporal stability was moderate to high for symptoms (range ICC's 0.54-0.73; range consistency 0.64-0.74), cognitive vulnerability (range ICC's 0.53-0.76; range consistency 0.60-0.74) and personality (range ICC's 0.57-0.80; range consistency.60 -0.75). Consistency indices for all measures were on average a bit lower in the unstable group (ICC = 0.54) compared to the stable groups (ICC = 0.61). Overall stability was similarly high after 2, 4, 6 and 9 years. CONCLUSION: The 9-year stability over time of symptoms of affective disorders and that of indices of cognitive vulnerability and personality are remarkably similar and relatively high.

I am a total failure: associations between beliefs and anxiety and depression in patients with inflammatory bowel disease with poor mental quality of life.

BACKGROUND: According to cognitive behavioural theory, cognitive factors (i.e. underlying general dysfunctional beliefs and (situation) specific illness beliefs) are theorized to lead to outcomes like anxiety and depression. In clinical practice, general dysfunctional beliefs are generally not tackled directly in short-term-therapy. AIMS: The goal of the present study was to investigate the associations of general versus specific illness beliefs on anxiety and depressive symptoms and psychiatric disorders among a subgroup of patients with inflammatory bowel disease (IBD) with poor mental quality of life (QoL). METHOD: This study concerns cross-sectional data, collected at baseline from a randomized clinical trial. One hundred and eighteen patients, recruited at four Dutch hospitals, with poor QoL (score ≤23 on the mental health subscale of the Short-Form 36-item Health-Survey; SF-36) were included. General dysfunctional beliefs were measured by the Dysfunctional Attitude Scale (DAS), specific illness beliefs by the Illness Perceptions Questionnaire-Revised (IPQ-R), anxiety and depressive symptoms by the Hospital Anxiety and Depression Scale (HADS), and psychiatric disorders by the Structured Clinical Interview for DSM-IV Axis-I Disorders (SCID-I). RESULTS: Univariate analyses showed associations between the level of anxiety and/or depression and general dysfunctional beliefs and four specific illness beliefs (consequences, personal control, emotional representations and treatment control). Among patients with IBD with psychiatric disorders, only the DAS was significantly associated with anxiety and depression (DAS added to IPQ-R and IPQ-R added to DAS). CONCLUSIONS: Psychological interventions may have to target general dysfunctional beliefs of patients with IBD with co-morbid psychiatric disorders to be effective. These patients with IBD are especially in need of psychological treatment.

Risk factors of unmet needs among women with breast cancer in the post-treatment phase.

OBJECTIVE: Unmet health care needs require additional care resources to achieve optimal patient well-being. In this nationwide study we examined associations between a number of risk factors and unmet needs after treatment among women with breast cancer, while taking into account their health care practices. We expected that more care use would be associated with lower levels of unmet needs. METHODS: A multicenter, prospective, observational design was employed. Women with primary breast cancer completed questionnaires 6 and 15 months post-diagnosis. Medical data were retrieved from medical records. Direct and indirect associations between sociodemographic and clinical risk factors, distress, care use, and unmet needs were investigated with structural equation modeling. RESULTS: Seven hundred forty-six participants completed both questionnaires (response rate 73.7%). The care services received were not negatively associated with the reported levels of unmet needs after treatment. Comorbidity was associated with higher physical and daily living needs. Higher age was associated with higher health system-related and informational needs. Having had chemotherapy and a mastectomy were associated with higher sexuality needs and breast cancer-specific issues, respectively. A higher level of distress was associated with higher levels of unmet need in all domains. CONCLUSIONS: Clinicians may use these results to timely identify which women are at risk of developing specific unmet needs after treatment. Evidence-based, cost-effective (online) interventions that target distress, the most influential risk factor, should be further implemented and disseminated among patients and clinicians.

The Role of Health Literacy in Explaining the Relation between Educational Level and Decision Making about Colorectal Cancer Screening.

Little is known about why educational inequalities exist in informed decision making in colorectal cancer (CRC) screening. Insight into the role and impact of health literacy is essential for intervention development. This study investigates associations between health literacy and informed decision making in CRC screening and explores to what extent health literacy mediates the association between education and informed decision making in CRC screening. In total, 696 individuals eligible for CRC screening (55-75 years of age) were recruited from online panels and filled in an online questionnaire at T0 (n = 696), T1 (n = 407) and T2 (n = 327). A hypothetical mediation model was tested using structural equation modelling. Outcomes included CRC knowledge, CRC screening knowledge, attitude, injunctive norm, descriptive norm, risk perception, self-efficacy, decisional conflict and decisional certainty. Health literacy domains included Comprehension, Application, Numeracy and Communication. Comprehension, Application and Numeracy, were found to mediate the association between education and knowledge about CRC and CRC screening, injunctive norm, descriptive norm, decisional conflict and decisional certainty. In light of these findings, targeting multiple health literacy domains in decision-support interventions is essential for facilitating informed decision making in CRC screening.

Psychometric evaluation of the PROMIS® Depression Item Bank: an illustration of classical test theory methods.

BACKGROUND: Psychometric theory offers a range of tests that can be used as supportive evidence of both validity and reliability of instruments aimed at measuring patient-reported outcomes (PRO). The aim of this paper is to illustrate psychometric tests within the Classical Test Theory (CTT) framework, comprising indices that are frequently applied to assess item- and scale-level psychometric properties of PRO instruments. METHODS: Using data on the PROMIS Depression Item Bank, typical CTT indices for the assessment of psychometric properties are illustrated, including content validity, item-level data exploration, reliability, and construct validity, particularly confirmatory factor analysis, to test the unidimensionality assumption underlying the item bank. Analyses are carried out on an original item set of 51 depression items, the final (official) PROMIS Depression Item Bank consisting of 28 items, and an 8-item short form. RESULTS: The analyses reported provide an informative illustration on how item- and scale-level reliability and validity statistics can be used to assess the psychometric quality of a PRO instrument. The results illustrate how the reported statistics can be used for item selection from an item pool (here: 51 items). Both the (final) 28-item bank and the 8-item short form show good psychometric properties supporting the high quality of individual items and the unidimensionality assumption of the item bank. CONCLUSIONS: It is our hope that our illustration of CTT methods, in conjunction with two companion papers illustrating modern test theory methods, will help researchers to confidently apply a range of statistical tests to evaluate item- and scale-level psychometric performance of PRO instruments.

Effects of communication about uncertainty and oncologist gender on the physician-patient relationship.

OBJECTIVE: Physicians are increasingly expected to share uncertain information, yet there is concern about possible negative effects on patients. How uncertainty is conveyed and by whom may influence patients' response. We tested the effects of verbally and non-verbally communicating uncertainty by a male vs. female oncologist on patients' trust and intention to seek a second opinion. METHODS: In an experimental video vignettes study conducted in The Netherlands, oncologist communication behavior (verbal vs. non-verbal and high vs. low uncertainty) and gender (male vs. female) were systematically manipulated. Former cancer patients viewed one video variant and reported trust, intention to seek a second opinion, and experience of uncertainty. RESULTS: Non-verbal communication of high uncertainty by the oncologist led to reduced trust (ß = -0.72 (SE = 0.15), p < .001) and increased intention to seek a second opinion (ß = 0.67 (SE = 0.16), p < .001). These effects were partly explained by patients' increased experience of uncertainty (ß = -0.48 (SE = 0.12), p < .001; and ß = 0.34 (SE = 0.09), p < .001 respectively). Neither verbal uncertainty nor oncologists' gender influenced trust or intention to seek a second opinion. CONCLUSION: Non-verbal communication of uncertainty by oncologists may affect patient trust and intention to seek a second-opinion more than verbal communication. PRACTICE IMPLICATIONS: Further research to understand and improve oncologists' non-verbal uncertainty behavior is warranted.

The effects of persuasive messages on cancer patients' attitudes, norms and intention to express concerns.

OBJECTIVE: To examine whether the use of persuasive messages in which cancer patients' attitudes and perceived social norms were either simultaneously or exclusively targeted can positively change patients' attitudes, perceived social norms and the intention to express concerns in consultations. METHODS: Two online experiments were conducted. The first experiment had a pre-test and post-test measurements design with 4 conditions (attitudes message, social norms message, combined message, control message). The second experiment had a pre-test and post-test measurements design with 2 conditions (message and no message group). RESULTS: The results of the first study showed small positive changes for patients who could potentially change, but there were no differences in effects between conditions. A second study was conducted to determine whether these effects could be attributed to exposure to the message or to the pre-test questionnaire. There were no differences between the conditions. CONCLUSION: The results indicate that paying attention to the expression of concerns by patients might increase patients' intention to express further concerns. PRACTICE IMPLICATIONS: Providers might be able to support patients' in their sharing of concerns through simple communication strategies such as explicitly mentioning that the expression of concerns is possible during a consultation.

Studying medical communication with video vignettes: a randomized study on how variations in video-vignette introduction format and camera focus influence analogue patients' engagement.

BACKGROUND: Video vignettes are used to test the effects of physicians' communication on patient outcomes. Methodological choices in video-vignette development may have far-stretching consequences for participants' engagement with the video, and thus the ecological validity of this design. To supplement the scant evidence in this field, this study tested how variations in video-vignette introduction format and camera focus influence participants' engagement with a video vignette showing a bad news consultation. METHODS: Introduction format (A = audiovisual vs. B = written) and camera focus (1 = the physician only, 2 = the physician and the patient at neutral moments alternately, 3 = the physician and the patient at emotional moments alternately) were varied in a randomized 2 × 3 between-subjects design. One hundred eighty-one students were randomly assigned to watch one of the six resulting video-vignette conditions as so-called analogue patients, i.e., they were instructed to imagine themselves being in the video patient's situation. Four dimensions of self-reported engagement were assessed retrospectively. Emotional engagement was additionally measured by recording participants' electrodermal and cardiovascular activity continuously while watching. Analyses of variance were used to test the effects of introduction format, camera focus and their interaction. RESULTS: The audiovisual introduction induced a stronger blood pressure response during watching the introduction (p = 0.048, [Formula: see text]= 0.05) and the consultation part of the vignette (p = 0.051, [Formula: see text]= 0.05), when compared to the written introduction. With respect to camera focus, results revealed that the variant focusing on the patient at emotional moments evoked a higher level of electrodermal activity (p = 0.003, [Formula: see text]= 0.06), when compared to the other two variants. Furthermore, an interaction effect was shown on self-reported emotional engagement (p = 0.045, [Formula: see text]= 0.04): the physician-only variant resulted in lower emotional engagement if the vignette was preceded by the audiovisual introduction. No effects were shown on the other dimensions of self-reported engagement. CONCLUSIONS: Our findings imply that using an audiovisual introduction combined with alternating camera focus depicting patient's emotions results in the highest levels of emotional engagement in analogue patients. This evidence can inform methodological decisions during the development of video vignettes, and thereby enhance the ecological validity of future video-vignettes studies.

Effect of Neoadjuvant Chemoradiotherapy on Health-Related Quality of Life in Esophageal or Junctional Cancer: Results From the Randomized CROSS Trial.

Purpose To compare pre-agreed health-related quality of life (HRQOL) domains in patients with esophageal or junctional cancer who received neoadjuvant chemoradiotherapy (nCRT) followed by surgery or surgery alone. Secondary aims were to examine the effect of nCRT on HRQOL before surgery and the effect of surgery on HRQOL. Patients and Methods Patients were randomly assigned to nCRT (carboplatin plus paclitaxel with concurrent 41.4-Gy radiotherapy) followed by surgery or surgery alone. HRQOL was measured using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (QLQ-C30) and -Oesophageal Cancer Module (QLQ-OES24) questionnaires pretreatment and at 3, 6, 9, and 12 months postoperatively. The nCRT group also received preoperative questionnaires. Physical functioning (PF; QLQ-C30) and eating problems (EA; QLQ-OES24) were chosen as predefined primary end points. Predefined secondary end points were global QOL (GQOL; QLQ-C30), fatigue (FA; QLQ-C30), and emotional problems (EM; QLQ-OES24). Results A total of 363 patients were analyzed. No statistically significant differences in postoperative HRQOL were found between treatment groups. In the nCRT group, PF, EA, GQOL, FA, and EM scores deteriorated 1 week after nCRT (Cohen's d: -0.93, P < .001; 0.47, P < .001; -0.84, P < .001; 1.45, P < .001; and 0.32, P = .001, respectively). In both treatment groups, all end points declined 3 months postoperatively compared with baseline (Cohen's d: -1.00, 0.33, -0.47, -0.34, and 0.33, respectively; all P < .001), followed by a continuous gradual improvement. EA, GQOL, and EM were restored to baseline levels during follow-up, whereas PF and FA remained impaired 1 year postoperatively (Cohen's d: 0.52 and -0.53, respectively; both P < .001). Conclusion Although HRQOL declined during nCRT, no effect of nCRT was apparent on postoperative HRQOL compared with surgery alone. In addition to the improvement in survival, these findings support the view that nCRT according to the Chemoradiotherapy for Esophageal Cancer Followed by Surgery Study-regimen can be regarded as a standard of care.

Trust and Perceptions of Physicians' Nonverbal Behavior Among Women with Immigrant Backgrounds.

Previous findings suggest immigrant patients have lower trust in their physicians, and perceive nonverbal communication differently compared to non-immigrant patients. We tested discrepancies in trust and the impact of non-verbal behavior between immigrants and non-immigrants in The Netherlands. Nonverbal communication of an oncologist was systematically varied in an experimental video vignettes design. Breast cancer patients (n = 34) and healthy women (n = 34) viewed one of eight video versions and evaluated trust and perceived friendliness of the oncologist. In a matched control design, women with immigrant and non-immigrant backgrounds were paired. Immigrant women reported stronger trust. Nonverbal communication by the oncologist did not influence trust differently for immigrants compared to for non-immigrants. However, smiling strongly enhanced perceived friendliness for non-immigrants, but not for immigrants. Immigrant patients' strong trust levels may be formed a priori, instead of based on physicians' communication. Physicians may need to make extra efforts to optimize their communication.

Structural equation modeling-based effect-size indices were used to evaluate and interpret the impact of response shift effects.

OBJECTIVES: The investigation of response shift in patient-reported outcomes (PROs) is important in both clinical practice and research. Insight into the presence and strength of response shift effects is necessary for a valid interpretation of change. STUDY DESIGN AND SETTING: When response shift is investigated through structural equation modeling (SEM), observed change can be decomposed into change because of recalibration response shift, change because of reprioritization and/or reconceptualization response shift, and change because of change in the construct of interest. Subsequently, calculating effect-size indices of change enables evaluation and interpretation of the clinical significance of these different types of change. RESULTS: Change was investigated in health-related quality of life data from 170 cancer patients, assessed before surgery and 3 months after surgery. Results indicated that patients deteriorated on general physical health and general fitness and improved on general mental health. The decomposition of change showed that the impact of response shift on the assessment of change was small. CONCLUSION: SEM can be used to enable the evaluation and interpretation of the impact of response shift effects on the assessment of change, particularly through calculation of effect-size indices. Insight into the occurrence and clinical significance of possible response shift effects will help to better understand changes in PROs.

Item bias detection in the Hospital Anxiety and Depression Scale using structural equation modeling: comparison with other item bias detection methods.

PURPOSE: Comparison of patient-reported outcomes may be invalidated by the occurrence of item bias, also known as differential item functioning. We show two ways of using structural equation modeling (SEM) to detect item bias: (1) multigroup SEM, which enables the detection of both uniform and nonuniform bias, and (2) multidimensional SEM, which enables the investigation of item bias with respect to several variables simultaneously. METHOD: Gender- and age-related bias in the items of the Hospital Anxiety and Depression Scale (HADS; Zigmond and Snaith in Acta Psychiatr Scand 67:361-370, 1983) from a sample of 1068 patients was investigated using the multigroup SEM approach and the multidimensional SEM approach. Results were compared to the results of the ordinal logistic regression, item response theory, and contingency tables methods reported by Cameron et al. (Qual Life Res 23:2883-2888, 2014). RESULTS: Both SEM approaches identified two items with gender-related bias and two items with age-related bias in the Anxiety subscale, and four items with age-related bias in the Depression subscale. Results from the SEM approaches generally agreed with the results of Cameron et al., although the SEM approaches identified more items as biased. CONCLUSION: SEM provides a flexible tool for the investigation of item bias in health-related questionnaires. Multidimensional SEM has practical and statistical advantages over multigroup SEM, and over other item bias detection methods, as it enables item bias detection with respect to multiple variables, of various measurement levels, and with more statistical power, ultimately providing more valid comparisons of patients' well-being in both research and clinical practice.