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?

Defining and operationalizing personalized psychological treatment - a systematic literature review.

This systematic literature review aimed to propose a definition of personalized psychological treatment and to suggest how the definition can be operationalized. PsycINFO, Cochrane Library, MEDLINE and EMBASE were searched up to 11 December 2023 for studies in which a definition of personalized psychological treatment was included or a systematic operationalization of personalized psychological treatment was described. Based on a narrative synthesis of the collected definitions, summary categories were developed that informed the proposed definition. Operationalizations were described according to what aspect of treatment, how and when treatment was personalized. The extent to which the operationalizations deviated from the proposed definition was assessed. Thirty-four studies with definitions and 200 with operationalizations were included. The following definition was proposed: personalized psychological treatment aims to optimize treatment outcome for the individual patient by tailoring treatment to unique or specific needs, preferences or other characteristics and includes a systematic adaptation of treatment or a differentiation between treatment strategies. Based on the operationalizations, timing of personalization, specification of the systematic approach and treatment elements that could be personalized were added to the proposed definition. Evidence-based personalization of psychological treatments can be enhanced by clear operationalization based on a comprehensive definition of personalization.

Co-creative art processes with cancer patients from the artists' perspective: a qualitative study exploring resonance theory.

PURPOSE: Co-creation, characterised by artists and patients creating a joint work of art, may support patients with the integration of life events into their life story, such as living with cancer. In the process of co-creation, resonance relationships between patients, artists and material may evolve that support integration. We aim to investigate if and if so, how resonance relationships occur from the perspective of the artist. METHODS: We used the first 10 audio recordings of supervision sessions between eight artists and their two supervisors on ongoing co-creation processes with cancer patients. By conducting a qualitative template analysis in AtlasTi, we searched for the presence of resonance, as defined by its four main characteristics, Being affected, touched and moved; Self-efficacy and responding; Moments of uncontrollability; and Adaptive transformation. In addition, two case descriptions are presented. RESULTS: We found resonance relationships to be present in the studied co-creation processes where moments of uncontrollability can lead to a next step in the process of co-creation and as such form an important factor within co-creation. CONCLUSIONS: The current study suggests focus on elements of resonance relationships within co-creation, specifically practising with uncontrollability while working with art, could strengthen interventions targeting integration of life events in advanced cancer patients.

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.

The expression of ultimate life goals in co-creative art processes with palliative cancer patients.

BACKGROUND: Co-creation, characterized by artists and patients creating a joint work of art, may support patients with the integration of disruptive life events into their life story, such as living with cancer. Focusing on experiences of contingency and life goals could support this process. The research questions are: (1) 'how are patient's ultimate life goals and experiences of contingency expressed in the work of art as created in a process of co-creation?'; (2) 'how do the four phases of integration of experiences of contingency unfold during co-creation?' METHODS: Ten patients who were in a palliative stage of cancer treatment completed co-creation processes. Audio recordings of these co-creation processes were imported in Atlas-Ti and analysed by applying directed content analysis. We searched for life goals and experiences of contingency in the four phases of co-creation; Art communications, Element compilation, Consolidation, Reflection. RESULTS: Patients used 4-8 sessions (median 5 sessions) with a duration of 90-240 min each (median duration 120 min). All patients expressed their experience of contingency and their ultimate life goals within the four phases of co-creation and in their work of art. A case description is presented illustrating the co-creation process. CONCLUSIONS: During co-creation, patients move through four phases in which experiences of contingency and ultimate life goals can be made explicit through art making and can be expressed in the work of art, supporting integration of experiences of contingency into one's life narrative.

Gastrectomy Versus Esophagectomy for Gastroesophageal Junction Tumors: Short- and Long-Term Outcomes From the Dutch Upper Gastrointestinal Cancer Audit.

OBJECTIVE: Investigate long-term survival, morbidity, mortality, and pathology results in patients following esophagectomy or total gastrectomy for gastroesophageal junction (GEJ) cancer. BACKGROUND: Both a total gastrectomy and an esophagectomy may be valid treatment options in patients with GEJ cancer. Which procedure results in the most optimal patient outcome is not well studied. The aim of this study was to investigate the long-term survival, morbidity, mortality, and pathology results in patients following esophagectomy or total gastrectomy for GEJ cancer. METHODS: A retrospective comparative cohort study of prospectively collected data from the Dutch Upper GI Cancer Audit combined with survival data of the Dutch medical insurance database was performed. Patients with GEJ cancer in whom a total gastrectomy or an esophagectomy was performed between 2011 and 2016 were compared. The primary outcome was 3-year overall survival. Postoperative morbidity, mortality, 3-year conditional survival, radicality of resection, and lymph node yield were secondary endpoints. RESULTS: A total of 871 patients were included: 790 following esophagectomy and 81 following gastrectomy. The 3-year overall survival was 35.8% after esophagectomy and 28.4% after gastrectomy (hazard ratio 1.2, 95% confidence interval 0.721-1.836, P = 0.557). Postoperative morbidity, mortality, radicality of resection, lymph node yield, and 3-year conditional survival did not differ significantly between groups. CONCLUSION: A total gastrectomy and an esophagectomy for GEJ cancer show largely comparable results with regard to long-term survival, postoperative morbidity, mortality, and pathology results. If both procedures are feasible, other parameters such as surgeon's experience and quality of life should be considered when planning for surgery.

This is what life with cancer looks like: exploring experiences of adolescent and young adults with cancer using two visual approaches.

INTRODUCTION: Talking about illness experience can be challenging for adolescents and young adults (AYAs) with cancer. Visual tools, in addition to spoken language, might make this easier, such as rich pictures and photovoice. We aimed to obtain a comprehensive view of the cancer experience of AYAs by using rich pictures and photovoice. METHODS: AYAs (18-35 years old) who had any type of cancer, or were in remission from cancer, were eligible. AYAs drew rich pictures about their experience of living with cancer and explained these during subsequent interviews. Some of the AYAs also participated in photovoice and spent two days with a photographer to make photos about their illness experience. Rich pictures and photos were first analyzed separately, using open coding, after which the identified themes were compared. RESULTS: Twelve AYAs made rich pictures (RPs), of whom seven also participated in photovoice. The two most predominant themes emerging from the data were struggles related to the future and defining one's identity. The AYAs expressed concerns for the future related to relationships, education, and employment. Relating to defining one's identity, many AYAs expressed that the cancer had a negative impact on their body- and self-image. The main themes were visible in the RPs as well as in the photovoice; however, subtle differences in sub-themes were found. CONCLUSIONS: We found that cancer has an effect on many aspects of AYAs' lives. Further research on how the identified themes play a role in the lives of AYAs with cancer is needed.

The fear of cancer recurrence and progression in patients with pancreatic cancer.

PURPOSE: It is plausible that patients with pancreatic cancer experience fear of tumor recurrence or progression (FOP). The aim of this study was to compare FOP in patients with pancreatic cancer treated with surgical resection, palliative systemic treatment, or best supportive care (BSC) and analyze the association between quality of life (QoL) and FOP and the effect of FOP on overall survival (OS). METHODS: This study included patients diagnosed with pancreatic cancer between 2015 and 2018, who participated in the Dutch Pancreatic Cancer Project (PACAP). The association between QoL and WOPS was assessed with logistic regression analyses. OS was evaluated using Kaplan-Meier curves with the log-rank tests and multivariable Cox proportional hazard analyses adjusted for clinical covariates and QoL. RESULTS: Of 315 included patients, 111 patients underwent surgical resection, 138 received palliative systemic treatment, and 66 received BSC. Patients who underwent surgical resection had significantly lower WOPS scores (i.e., less FOP) at initial diagnosis compared to patients who received palliative systemic treatment or BSC only (P < 0.001). Better QoL was independently associated with the probability of having a low FOP in the BSC (OR 0.95, 95% CI 0.91-0.98) but not in the surgical resection (OR 0.97, 95% CI 0.94-1.01) and palliative systemic treatment groups (OR 0.97, 95% CI 0.94-1.00). The baseline WOPS score was not independently associated with OS in any of the subgroups. CONCLUSION: Given the distress that FOP evokes, FOP should be explicitly addressed by health care providers when guiding pancreatic cancer patients through their treatment trajectory, especially those receiving palliative treatment or BSC.

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.

Predicting viral load suppression by self-reported adherence, pharmacy refill counts and real time medication monitoring among people living with HIV in Tanzania.

INTRODUCTION: Monitoring of adherence to antiretroviral treatment (ART) is of utmost importance to prevent treatment failure. Several measures to monitor adherence have been applied in low-resource settings and they all have pros and cons. Our objective was to examine whether any of the following adherence measures is a better predictor of participants' viral load suppression: (1) self-report, (2) pharmacy refill count, (3) Real Time Medication Monitoring (RTMM), (4) a combination of self-report and pharmacy refill count or (5) all three adherence assessment methods combined. METHODOLOGY: This was a post-hoc analysis of data from our 48-week REMIND-HIV randomized controlled trial in which adherence to ART was measured using self-report, pharmacy refill counts and RTMM among ART-experienced adults living with HIV subjectively judged to be nonadherent to ART. For each adherence measure, we calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for predicting virological failure defined as a viral load (VL) of > 20 copies/mL. To determine at which percentage of adherence the prediction was strongest, we evaluated adherence cut-offs of 80%, 85%, 90%, 95% and 100% using receiver operating characteristic (ROC) curves. VL data were obtained after 48 weeks of follow-up in the trial. RESULTS: A total of 233 people living with HIV (PLHIV) were included in this analysis. When comparing the ability of self-reported adherence with pharmacy refill count and RTMM adherence to predict viral load > 20 copies/ml, self-reported adherence had the lowest sensitivity, ranging from 6 to 17%, but the highest specificity, ranging from 100 to 86%, depending on cut-off values from 80 to 100%. Area under the ROC curves (AUC) were 0.54 for RTMM, 0.56 for pharmacy refill count and 0.52 for self-report, indicating low discriminatory capacity for each of the adherence measures. When we combined the self-report and pharmacy refill count measures, sensitivity increased, ranging from 28 to 57% but specificity decreased, ranging from 83 to 53%. When all three measures were combined, we observed the highest value of sensitivity, ranging from 46 to 92%, and PPV, ranging from 32 to 36%, at high cut-offs ranging from 80 to 100%. Upon combination of three adherence measures, the AUC increased to 0.59. CONCLUSION: Our results show that adherence assessed exclusively by self-report, pharmacy refill count or RTMM were insufficiently sensitive to predict virologic failure. Sensitivity markedly improved by combining all three measures, but the practical feasibility of such an approach would need to be studied.

The impact of cancer treatment on quality of life in patients with pancreatic and periampullary cancer: a propensity score matched analysis.

BACKGROUND: The impact of pancreatic and periampullary cancer treatment on health-related quality of life (HRQoL) is unclear. METHODS: This study merged data from the Netherlands Cancer Registry with EORTC QLQ-C30 and -PAN26 questionnaires at baseline and three-months follow-up of pancreatic and periampullary cancer patients (2015-2018). Propensity score matching (1:3) of group without to group with treatment was performed. Linear mixed model regression analyses were performed to investigate the association between cancer treatment and HRQoL at follow-up. RESULTS: After matching, 247 of 629 available patients remained (68 (27.5%) no treatment, 179 (72.5%) treatment). Treatment consisted of resection (n = 68 (27.5%)), chemotherapy only (n = 111 (44.9%)), or both (n = 40 (16.2%)). At follow-up, cancer treatment was associated with better global health status (Beta-coefficient 4.8, 95% confidence-interval 0.0-9.5) and less constipation (Beta-coefficient -7.6, 95% confidence-interval -13.8-1.4) compared to no cancer treatment. Median overall survival was longer for the cancer treatment group compared to the no treatment group (15.4 vs. 6.2 months, p < 0.001). CONCLUSION: Patients undergoing treatment for pancreatic and periampullary cancer reported slight improvement in global HRQoL and less constipation at three months-follow up compared to patients without cancer treatment, while overall survival was also improved.

SOURCE: Prediction Models for Overall Survival in Patients With Metastatic and Potentially Curable Esophageal and Gastric Cancer.

BACKGROUND: Personalized prediction of treatment outcomes can aid patients with cancer when deciding on treatment options. Existing prediction models for esophageal and gastric cancer, however, have mostly been developed for survival prediction after surgery (ie, when treatment has already been completed). Furthermore, prediction models for patients with metastatic cancer are scarce. The aim of this study was to develop prediction models of overall survival at diagnosis for patients with potentially curable and metastatic esophageal and gastric cancer (the SOURCE study). METHODS: Data from 13,080 patients with esophageal or gastric cancer diagnosed in 2015 through 2018 were retrieved from the prospective Netherlands Cancer Registry. Four Cox proportional hazards regression models were created for patients with potentially curable and metastatic esophageal or gastric cancer. Predictors, including treatment type, were selected using the Akaike information criterion. The models were validated with temporal cross-validation on their C-index and calibration. RESULTS: The validated model's C-index was 0.78 for potentially curable gastric cancer and 0.80 for potentially curable esophageal cancer. For the metastatic models, the c-indices were 0.72 and 0.73 for esophageal and gastric cancer, respectively. The 95% confidence interval of the calibration intercepts and slopes contain the values 0 and 1, respectively. CONCLUSIONS: The SOURCE prediction models show fair to good c-indices and an overall good calibration. The models are the first in esophageal and gastric cancer to predict survival at diagnosis for a variety of treatments. Future research is needed to demonstrate their value for shared decision-making in clinical practice.

Response shift in results of patient-reported outcome measures: a commentary to The Response Shift-in Sync Working Group initiative.

PURPOSE: The Working Group undertook a critical, comprehensive synthesis of the response shift work to date. We aimed to (1) describe the rationale for this initiative; (2) outline how the Working Group operated; (3) summarize the papers that comprise this initiative; and (4) discuss the way forward. METHODS: Four interdisciplinary teams, consisting of response shift experts, external experts, and new investigators, prepared papers on (1) definitions and theoretical underpinnings, (2) operationalizations and response shift methods, (3) implications for healthcare decision-making, and (4) on the published magnitudes of response shift effects. Draft documents were discussed during a two-day meeting. Papers were reviewed by all members. RESULTS: Vanier and colleagues revised the formal definition and theory of response shift, and applied these in an amended, explanatory model of response shift. Sébille and colleagues conducted a critical examination of eleven response shift methods and concluded that for each method extra steps are required to make the response shift interpretation plausible. Sawatzky and colleagues created a framework for considering the impact of response shift on healthcare decision-making at the level of the individual patient (micro), the organization (meso), and policy (macro). Sajobi and colleagues are conducting a meta-analysis of published response shift effects. Preliminary findings indicate that the mean effect sizes are often small and variable across studies that measure different outcomes and use different methods. CONCLUSION: Future response shift research will benefit from collaboration among diverse people, formulating alternative hypotheses of response shift, and conducting the most conclusive studies aimed at testing these (falsification).

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.

Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures.

PURPOSE: Results of patient-reported outcome measures (PROMs) are increasingly used to inform healthcare decision-making. Research has shown that response shift can impact PROM results. As part of an international collaboration, our goal is to provide a framework regarding the implications of response shift at the level of patient care (micro), healthcare institute (meso), and healthcare policy (macro). METHODS: Empirical evidence of response shift that can influence patients' self-reported health and preferences provided the foundation for development of the framework. Measurement validity theory, hermeneutic philosophy, and micro-, meso-, and macro-level healthcare decision-making informed our theoretical analysis. RESULTS: At the micro-level, patients' self-reported health needs to be interpreted via dialogue with the clinician to avoid misinterpretation of PROM data due to response shift. It is also important to consider the potential impact of response shift on study results, when these are used to support decisions. At the meso-level, individual-level data should be examined for response shift before aggregating PROM data for decision-making related to quality improvement, performance monitoring, and accreditation. At the macro-level, critical reflection on the conceptualization of health is required to know whether response shift needs to be controlled for when PROM data are used to inform healthcare coverage. CONCLUSION: Given empirical evidence of response shift, there is a critical need for guidelines and knowledge translation to avoid potential misinterpretations of PROM results and consequential biases in decision-making. Our framework with guiding questions provides a structure for developing strategies to address potential impacts of response shift at micro-, meso-, and macro-levels.

Informing Patients With Esophagogastric Cancer About Treatment Outcomes by Using a Web-Based Tool and Training: Development and Evaluation Study.

BACKGROUND: Due to the increasing use of shared decision-making, patients with esophagogastric cancer play an increasingly important role in the decision-making process. To be able to make well-informed decisions, patients need to be adequately informed about treatment options and their outcomes, namely survival, side effects or complications, and health-related quality of life. Web-based tools and training programs can aid physicians in this complex task. However, to date, none of these instruments are available for use in informing patients with esophagogastric cancer about treatment outcomes. OBJECTIVE: This study aims to develop and evaluate the feasibility of using a web-based prediction tool and supporting communication skills training to improve how physicians inform patients with esophagogastric cancer about treatment outcomes. By improving the provision of treatment outcome information, we aim to stimulate the use of information that is evidence-based, precise, and personalized to patient and tumor characteristics and is communicated in a way that is tailored to individual information needs. METHODS: We designed a web-based, physician-assisted prediction tool-Source-to be used during consultations by using an iterative, user-centered approach. The accompanying communication skills training was developed based on specific learning objectives, literature, and expert opinions. The Source tool was tested in several rounds-a face-to-face focus group with 6 patients and survivors, semistructured interviews with 5 patients, think-aloud sessions with 3 medical oncologists, and interviews with 6 field experts. In a final pilot study, the Source tool and training were tested as a combined intervention by 5 medical oncology fellows and 3 esophagogastric outpatients. RESULTS: The Source tool contains personalized prediction models and data from meta-analyses regarding survival, treatment side effects and complications, and health-related quality of life. The treatment outcomes were visualized in a patient-friendly manner by using pictographs and bar and line graphs. The communication skills training consisted of blended learning for clinicians comprising e-learning and 2 face-to-face sessions. Adjustments to improve both training and the Source tool were made according to feedback from all testing rounds. CONCLUSIONS: The Source tool and training could play an important role in informing patients with esophagogastric cancer about treatment outcomes in an evidence-based, precise, personalized, and tailored manner. The preliminary evaluation results are promising and provide valuable input for the further development and testing of both elements. However, the remaining uncertainty about treatment outcomes in patients and established habits in doctors, in addition to the varying trust in the prediction models, might influence the effectiveness of the tool and training in daily practice. We are currently conducting a multicenter clinical trial to investigate the impact that the combined tool and training have on the provision of information in the context of treatment decision-making.

Minimally important differences for interpreting European Organisation for Research and Treatment of Cancer (EORTC) Quality of life Questionnaire core 30 scores in patients with ovarian cancer.

INTRODUCTION: Minimal important differences (MIDs) are useful for interpreting changes or differences in health-related quality of life scores in terms of clinical importance. There are currently no MID guidelines for the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire core 30 (EORTC QLQ-C30) specific to ovarian cancer. This study aims to estimate MIDs for interpreting group-level change of EORTC QLQ-C30 scores in ovarian cancer. METHODS: Data were derived from four EORTC published trials. Clinical anchors for each EORTC QLQ-C30 scale were selected using correlation strength and clinical plausibility. MIDs for within-group change and between-group differences in change over time were estimated via mean change method and linear regression respectively. For each EORTC QLQ-C30 scale, MID estimates from multiple anchors were summarized via weighted-correlation. Distribution-based MIDs were also examined as supportive evidence. RESULTS: Anchor-based MIDs were determined for deterioration in 7 of the 14 EORTC QLQ-C30 scales assessed, and in 11 scales for improvement. Anchor-based MIDs for within-group change ranged from 4 to 19 (improvement) and - 9 to -4 (deterioration). Between-group MIDs ranged from 3 to 13 (improvement) and - 11 to -4 (deterioration). Generally, absolute anchor-based MIDs for most scales ranged from 4 to 10 points. CONCLUSIONS: Our findings will aid interpretation of EORTC QLQ-C30 scores in ovarian cancer and inform sample size calculations in future ovarian cancer trials with endpoints that are based on EORTC QLQ-C30 scales.

Patient Satisfaction and Quality of Life Before and After Treatment of Pancreatic and Periampullary Cancer: A Prospective Multicenter Study.

BACKGROUND: This study sought to assess patient satisfaction and quality of life (QoL) before and after treatment of pancreatic and periampullary cancer. METHODS: We conducted a prospective multicenter study of patients treated for pancreatic and periampullary cancer. General patient satisfaction was measured using the EORTC satisfaction with care questionnaire (IN-PATSAT32) at baseline and 3 months after treatment initiation, with a 10-point change on the Likert scale considered clinically meaningful. QoL was measured using the EORTC Core Quality of Life Questionnaire (QLQ-C30). The influence of treatment (curative and palliative) on patient satisfaction and QoL was determined. RESULTS: Of 100 patients, 71 completed follow-up questionnaires. General satisfaction with care decreased from 74.3 before treatment to 61.9 after treatment (P<.001), whereas global QoL increased from 68.4 to 71.4 (P=.39). Clinically meaningful reductions were also observed for the reported interpersonal skills of doctors (from 73.4 to 63.3) and exchange of information within the care team (from 63.5 to 52.5). Satisfaction scores were lower for patients treated with curative intent than for those treated with palliative intent regarding interpersonal skills of doctors (P=.01), information provision by doctors (P=.004), information provision by nurses (P=.02), availability of nurses (P=.004), exchange of information within the care team (P=.01), and hospital access (P=.02). In multivariable analysis, clinicopathologic or QoL factors were not independently associated with general patient satisfaction. CONCLUSIONS: Satisfaction with care, but not QoL, decreased after pancreatic cancer treatment. Improvements in communication and interpersonal skills are needed to maintain patient satisfaction after treatment.

Relationship Between Quality of Life and Survival in Patients With Pancreatic and Periampullary Cancer: A Multicenter Cohort Analysis.

BACKGROUND: A relationship between quality of life (QoL) and survival has been shown for several types of cancer, mostly in clinical trials with highly selected patient groups. The relationship between QoL and survival for patients with pancreatic or periampullary cancer is unclear. METHODS: This study analyzed QoL data from a prospective multicenter patient-reported outcome registry in patients with pancreatic or periampullary carcinoma registered in the nationwide Netherlands Cancer Registry (2015-2018). Baseline and delta QoL, between baseline and 3-month follow-up, were assessed with the Happiness, EORTC Quality of Life Questionnaire-Core 30 (QLQ-C30), and QLQ-PAN26 questionnaires. The relationship between QoL and survival was assessed using Cox regression models, and additional prognostic value of separate items was assessed using Nagelkerke R2 (explained variance). RESULTS: For the baseline and delta analyses, 233 and 148 patients were available, respectively. Most were diagnosed with pancreatic adenocarcinoma (n=194; 83.3%) and had stage III disease (n=77; 33.0%), with a median overall survival of 13.6 months. Multivariate analysis using baseline scores indicated several scales to be of prognostic value for the total cohort (ie, happiness today, role functioning, diarrhea, pancreatic pain, and body image; hazard ratios all P<.05) and for patients without resection (ie, overall satisfaction with life, physical and cognitive functioning, QLQ-C30 summary score, fatigue, pain, constipation, diarrhea, and body image; hazard ratios all P<.05). Except for diarrhea, all QoL items accounted for >5% of the additional explained variance and were of added prognostic value. Multivariate analysis using delta QoL revealed that only constipation was of prognostic value for the total cohort, whereas no association with survival was found for subgroups with or without resection. CONCLUSIONS: In a multicenter cohort of patients with pancreatic or periampullary carcinoma, QoL scores predicted survival regardless of patient, tumor, and treatment characteristics. QoL scores may thus be used for shared decision-making regarding disease management and treatment choice.