Title |
The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies
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Published in |
BMC Psychiatry, August 2016
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DOI | 10.1186/s12888-016-0931-5 |
Pubmed ID | |
Authors |
Daniel Hind, Daphne Kaklamanou, Dan Beever, Rosie Webster, Ellen Lee, Michael Barkham, Cindy Cooper |
Abstract |
The prevalence of depression in people with multiple sclerosis (PwMS) is high; however, symptoms common to both conditions makes measurement difficult. There is no high quality overview of validation studies to guide the choice of depression inventory for this population. A systematic review of studies validating the use of generic depression inventories in people with MS was conducted using MEDLINE and PsycINFO. Studies validating the use of depression inventories in PwMS and published in English were included; validation studies of tests for cognitive function and general mental health were excluded. Eligible studies were then quality assessed using the COSMIN checklist and findings synthesised narratively by instrument and validity domain. Twenty-one studies (N = 5,991 PwMS) evaluating 12 instruments were included in the review. Risk of bias varied greatly between instrument and validity domain. The review of validation studies was constrained by poor quality reporting and outcome reporting bias. Well-conducted evaluations of some instruments are unavailable for some validity domains. This systematic review provides an evidence base for trade-offs in the selection of an instrument for assessing self-reported symptoms of depression in research or clinical practice involving people with MS. We make detailed and specific recommendations for where further research is needed. PROSPERO CRD42014010597. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 30% |
Saudi Arabia | 1 | 10% |
United States | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 85 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 16% |
Student > Bachelor | 14 | 16% |
Researcher | 10 | 12% |
Student > Ph. D. Student | 6 | 7% |
Student > Doctoral Student | 4 | 5% |
Other | 10 | 12% |
Unknown | 27 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 13 | 15% |
Medicine and Dentistry | 11 | 13% |
Nursing and Health Professions | 10 | 12% |
Neuroscience | 6 | 7% |
Mathematics | 3 | 4% |
Other | 10 | 12% |
Unknown | 32 | 38% |