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

[1]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[2]  M. Sprangers,et al.  Response shift after coronary revascularization , 2021, Quality of Life Research.

[3]  H. Riper,et al.  Re-evaluating randomized clinical trials of psychological interventions: Impact of response shift on the interpretation of trial results , 2021, PloS one.

[4]  N. Mayo,et al.  Response shift in patient-reported outcomes: definition, theory, and a revised model , 2021, Quality of Life Research.

[5]  L. Lix,et al.  Critical examination of current response shift methods and proposal for advancing new methods , 2021, Quality of Life Research.

[6]  Chien-Ming Yang,et al.  Consequences of ignoring the response-shift and measure non-invariant items in sleep studies: an empirical data based simulation of the treatment effect of CBT-I on dysfunctional sleep beliefs. , 2020, Sleep medicine.

[7]  G. Bleijenberg,et al.  Graded activity is an important component in cognitive behavioral therapy to reduce severe fatigue: results of a pragmatic crossover trial in cancer survivors , 2019, Acta oncologica.

[8]  M. Sprangers,et al.  Influence of response shift and disposition on patient-reported outcomes may lead to suboptimal medical decisions: a medical ethics perspective , 2019, BMC Medical Ethics.

[9]  M. Schellekens,et al.  Experiencing and responding to chronic cancer‐related fatigue: A meta‐ethnography of qualitative research , 2019, Psycho-oncology.

[10]  G. Ilie,et al.  The Role of Response-Shift in Studies Assessing Quality of Life Outcomes Among Cancer Patients: A Systematic Review , 2019, Front. Oncol..

[11]  G. Bleijenberg,et al.  Prediction of long-term outcome after cognitive behavioral therapy for chronic fatigue syndrome. , 2019, Journal of psychosomatic research.

[12]  H. Knoop,et al.  Internet-Based Cognitive Behavioral Therapy in Stepped Care for Chronic Fatigue Syndrome: Randomized Noninferiority Trial , 2019, Journal of medical Internet research.

[13]  F. Attena,et al.  Does written informed consent adequately inform surgical patients? A cross sectional study , 2019, BMC Medical Ethics.

[14]  A. Hinz,et al.  Response shift effects of quality of life assessments in breast cancer survivors , 2018, European journal of cancer care.

[15]  H. Knoop,et al.  Potential Mechanisms Involved in the Effect of Cognitive Behavioral Therapy on Fatigue Severity in Type 1 Diabetes , 2018, Journal of consulting and clinical psychology.

[16]  G. Bleijenberg,et al.  Efficacy of web-based cognitive–behavioural therapy for chronic fatigue syndrome: randomised controlled trial , 2018, The British Journal of Psychiatry.

[17]  L. Lix,et al.  Scoping review of response shift methods: current reporting practices and recommendations , 2018, Quality of Life Research.

[18]  H. Knoop,et al.  The efficacy of Internet‐based cognitive behavioral therapy for severely fatigued survivors of breast cancer compared with care as usual: A randomized controlled trial , 2017, Cancer.

[19]  G. Bleijenberg,et al.  The assessment of fatigue: Psychometric qualities and norms for the Checklist individual strength. , 2017, Journal of psychosomatic research.

[20]  H. Knoop,et al.  Web-based cognitive behavioural therapy blended with face-to-face sessions for chronic fatigue in type 1 diabetes: a multicentre randomised controlled trial. , 2017, The lancet. Diabetes & endocrinology.

[21]  M. Sprangers,et al.  Structural equation modeling-based effect-size indices were used to evaluate and interpret the impact of response shift effects. , 2017, Journal of clinical epidemiology.

[22]  Albert Maydeu-Olivares Maximum Likelihood Estimation of Structural Equation Models for Continuous Data: Standard Errors and Goodness of Fit , 2017 .

[23]  Oort,et al.  The Impact of Response Shift on the Assessment of Change: Calculation of Effect-Size Indices Using Structural Equation Modeling Verdam, , 2017 .

[24]  H. Knoop,et al.  Severe fatigue in type 1 diabetes: Exploring its course, predictors and relationship with HbA1c in a prospective study. , 2016, Diabetes research and clinical practice.

[25]  Cheng-Hsien Li Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares , 2016, Behavior research methods.

[26]  L. Whitehead,et al.  The Experience of Fatigue Across Long-Term Conditions: A Qualitative Meta-Synthesis. , 2016, Journal of Pain and Symptom Management.

[27]  M. Rovers,et al.  Risk factors, prevalence, and course of severe fatigue after breast cancer treatment: a meta-analysis involving 12 327 breast cancer survivors. , 2016, Annals of oncology : official journal of the European Society for Medical Oncology.

[28]  M. Graefen,et al.  Prostate cancer patients’ quality of life assessments across the primary treatment trajectory: ‘True’ change or response shift? , 2016, Acta oncologica.

[29]  Karin Olson,et al.  Cancer-related fatigue and associated disability in post-treatment cancer survivors , 2016, Journal of Cancer Survivorship.

[30]  M. Sprangers,et al.  Using a retrospective pretest instead of a conventional pretest is replacing biases: a qualitative study of cognitive processes underlying responses to thentest items , 2015, Quality of Life Research.

[31]  C. Schwartz,et al.  Minimal evidence of response shift in the absence of a catalyst , 2014, Quality of Life Research.

[32]  Hans Knoop,et al.  Chronic Fatigue in Type 1 Diabetes: Highly Prevalent but Not Explained by Hyperglycemia or Glucose Variability , 2013, Diabetes Care.

[33]  G. Bleijenberg,et al.  The process of cognitive behaviour therapy for chronic fatigue syndrome: which changes in perpetuating cognitions and behaviour are related to a reduction in fatigue? , 2013, Journal of psychosomatic research.

[34]  M. Zwarts,et al.  The role of physical activity and physical fitness in postcancer fatigue: a randomized controlled trial , 2013, Supportive Care in Cancer.

[35]  P. Cuijpers,et al.  Response shifts in mental health interventions: an illustration of longitudinal measurement invariance. , 2013, Psychological assessment.

[36]  Yves Rosseel,et al.  lavaan: An R Package for Structural Equation Modeling , 2012 .

[37]  Hans Knoop,et al.  Towards an evidence-based treatment model for cognitive behavioral interventions focusing on chronic fatigue syndrome. , 2012, Journal of psychosomatic research.

[38]  G. Bleijenberg,et al.  [Dutch language area definition of chronic fatigue]. , 2012, Nederlands tijdschrift voor geneeskunde.

[39]  Mira Meeus,et al.  Nederlandstalige definitie van chronische vermoeidheid , 2012 .

[40]  F. Oort,et al.  Using structural equation modelling to detect measurement bias and response shift in longitudinal data , 2010 .

[41]  G. Bleijenberg,et al.  Cognitive behaviour therapy for fatigued cancer survivors: long-term follow-up , 2007, British Journal of Cancer.

[42]  G. Bleijenberg,et al.  Differences in the experience of fatigue in patients and healthy controls: patients' descriptions , 2007, Health and quality of life outcomes.

[43]  P. Jacobsen,et al.  Utility of a cognitive-behavioral model to predict fatigue following breast cancer treatment. , 2007, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[44]  G. Bleijenberg,et al.  Is a Full Recovery Possible after Cognitive Behavioural Therapy for Chronic Fatigue Syndrome? , 2007, Psychotherapy and Psychosomatics.

[45]  G. Bleijenberg,et al.  Effects of cognitive behavior therapy in severely fatigued disease-free cancer patients compared with patients waiting for cognitive behavior therapy: a randomized controlled trial. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[46]  P. Fayers,et al.  The clinical significance of adaptation to changing health: A meta-analysis of response shift , 2006, Quality of Life Research.

[47]  R. Hays,et al.  Clinical significance of patient-reported questionnaire data: another step toward consensus. , 2005, Journal of clinical epidemiology.

[48]  Stefan Höfer,et al.  Response shift masks the treatment impact on patient reported outcomes (PROs): the example of individual quality of life in edentulous patients , 2005, Health and quality of life outcomes.

[49]  F. Oort Using structural equation modeling to detect response shifts and true change , 2005, Quality of Life Research.

[50]  M. Sprangers,et al.  An application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery , 2005, Quality of Life Research.

[51]  R. Brown,et al.  The assessment of fatigue: a practical guide for clinicians and researchers. , 2004, Journal of psychosomatic research.

[52]  Rosane Nisenbaum,et al.  Identification of ambiguities in the 1994 chronic fatigue syndrome research case definition and recommendations for resolution , 2003, BMC health services research.

[53]  G. Norman,et al.  Interpretation of Changes in Health-related Quality of Life: The Remarkable Universality of Half a Standard Deviation , 2003, Medical care.

[54]  G. Bleijenberg,et al.  Cognitive behaviour therapy for chronic fatigue syndrome: a multicentre randomised controlled trial , 2001, The Lancet.

[55]  Albert Satorra,et al.  A scaled difference chi-square test statistic for moment structure analysis , 1999 .

[56]  M. Sprangers,et al.  Integrating response shift into health-related quality of life research: a theoretical model. , 1999, Social science & medicine.

[57]  G. Bleijenberg,et al.  The persistence of fatigue in chronic fatigue syndrome and multiple sclerosis: development of a model. , 1998, Journal of psychosomatic research.

[58]  Ian Hickie,et al.  The Chronic Fatigue Syndrome: A Comprehensive Approach to Its Definition and Study , 1994, Annals of Internal Medicine.

[59]  G. Bleijenberg,et al.  Dimensional assessment of chronic fatigue syndrome. , 1994, Journal of psychosomatic research.

[60]  W. Weir,et al.  Ways of coping with chronic fatigue syndrome: development of an illness management questionnaire. , 1993, Social science & medicine.

[61]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[62]  Gideon J. Mellenbergh,et al.  Item bias and item response theory , 1989 .

[63]  K. Bollen Structural Equations with Latent Variables: Bollen/Structural Equations with Latent Variables , 1989 .