NormQuest : reference values for ROM instruments and questionnaires

Schulte-van Maaren, Y.W.M. (2014)

Doctoral Thesis

The primary aim of the NormQuest study described in this thesis was to generate evidencebased, reference values for 19 self-report and observational questionnaires. The focus was on questionnaires measuring mood, anxiety, and somatoform (MAS) disorders used in Routine Outcome Monitoring (ROM). The set of cut-off values of the ROM reference group (__healthy__) can be used in specialized mental health care by therapists to support the decision whether a patient is sufficiently recovered to be considered as a member of the healthy population, and no longer as a member of the patient population. These reference values are suitable as decision support for referral back to primary care physicians. Additionally, the set of the ROM patient group (__clinically ill__) cut-off values can be used by primary care physicians as decision support for referral to the specialized mental health care. To allow determination of cut-off points for skewed distributions, percentile scores were used. In addition, we assessed the discriminative power of the questionnaire scores by means of Receiver Operating Characteristics (ROC) analyses. Finally, we calculated reference values in separate strata of gender and age. The secondary aim of the NormQuest study concerned the need for the development of public domain questionnaires. In the NormQuest study, the generic Symptom Questionnaire-48 (SQ-48), aimed at broad applicability in patients with MAS disorders, was developed. Also, for the SQ-48 reference values were calculated

• Generic instruments
• Somatoform disorder
• Depression
• Anxiety
• Norms
• Reference values
• Instruments
• Questionnaires
• Routine outcome monitoring

• All authors: Schulte-van Maaren, Y.W.M.
• Supervisor: Zitman, F.G.; Hemert, A.M. van
• Co-supervisor: Carlier, I.V.E.; Giltay, E.J.
• Qualification: Doctor (dr.)
• Awarding Institution: Leiden University Medical Center (LUMC), Leiden University
• Date: 2014-01-21
• ISBN (print): 9789088917882