The bi-factor structure of the 17-item Hamilton Depression Rating Scale in persistent major depression; dimensional measurement of outcome
| Autor: | Elena Nixon, Boliang Guo, Richard Morriss, Neil Nixon, Catherine Kaylor-Hughes, Anne Garland |
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| Přispěvatelé: | Tran, Thach Duc |
| Rok vydání: | 2020 |
| Předmět: |
Male
050103 clinical psychology Emotions Social Sciences Collaborative Care Anxiety law.invention Time Measurement Medical Conditions 0302 clinical medicine Randomized controlled trial law Outcome Assessment Health Care Medicine and Health Sciences Psychology Electron Microscopy Depression (differential diagnoses) Randomized Controlled Trials as Topic Microscopy Measurement Multidisciplinary Depression 05 social sciences General Medicine Middle Aged Neurology Cohort Medicine Engineering and Technology Major depressive disorder Female Scanning Electron Microscopy medicine.symptom General Agricultural and Biological Sciences Research Article Clinical psychology Drug Research and Development Insomnia Science Research and Analysis Methods General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Rating scale Mental Health and Psychiatry medicine Humans Clinical Trials 0501 psychology and cognitive sciences Pharmacology Psychiatric Status Rating Scales Depressive Disorder Major Mood Disorders business.industry Biology and Life Sciences medicine.disease Mental health Randomized Controlled Trials Dyssomnias 030227 psychiatry Clinical Medicine Sleep Disorders business Mental Health Therapies |
| Zdroj: | PLoS ONE PLoS ONE, Vol 15, Iss 10, p e0241370 (2020) |
| ISSN: | 1932-6203 |
| Popis: | BackgroundThe 17-item Hamilton Depression Rating Scale (HDRS17) is used world-wide as an observer-rated measure of depression in randomised controlled trials (RCTs) despite continued uncertainty regarding its factor structure. This study investigated the dimensionality of HDRS17 for patients undergoing treatment in UK mental health settings with moderate to severe persistent major depressive disorder (PMDD).MethodsExploratory Structural Equational Modelling (ESEM) was performed to examine the HDRS17 factor structure for adult PMDD patients with HDRS17 score ≥16. Participants (n = 187) were drawn from a multicentre RCT conducted in UK community mental health settings evaluating the outcomes of a depression service comprising CBT and psychopharmacology within a collaborative care model, against treatment as usual (TAU). The construct stability across a 12-month follow-up was examined through a measurement equivalence/invariance (ME/I) procedure via ESEM.ResultsESEM showed HDRS17 had a bi-factor structure for PMDD patients (baseline mean (sd) HDRS17 22.6 (5.2); 87% PMDD >1 year) with an overall depression factor and two group factors: vegetative-worry and retardation-agitation, further complicated by negative item loading. This bi-factor structure was stable over 12 months follow up. Analysis of the HDRS6 showed it had a unidimensional structure, with positive item loading also stable over 12 months.ConclusionsIn this cohort of moderate-severe PMDD the HDRS17 had a bi-factor structure stable across 12 months with negative item loading on domain specific factors, indicating that it may be more appropriate to multidimensional assessment of settled clinical states, with shorter unidimensional subscales such as the HDRS6 used as measures of change. |
| Databáze: | OpenAIRE |
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