Literature DB >> 18457335

Depression screening using the Patient Health Questionnaire-9 administered on a touch screen computer.

Jesse R Fann1, Donna L Berry, Seth Wolpin, Mary Austin-Seymour, Nigel Bush, Barbara Halpenny, William B Lober, Ruth McCorkle.   

Abstract

OBJECTIVE: To (1) evaluate the feasibility of touch screen depression screening in cancer patients using the Patient Health Questionnaire-9 (PHQ-9), (2) evaluate the construct validity of the PHQ-9 using the touch screen modality, and (3) examine the prevalence and severity of depression using this screening modality.
METHODS: The PHQ-9 was placed in a web-based survey within a study of the clinical impact of computerized symptom and quality of life screening. Patients in medical oncology, radiation oncology, and hematopoietic stem cell transplantation (HSCT) clinics used the program on a touch screen computer in waiting rooms prior to therapy (T1) and during therapy (T2). Responses of depressed mood or anhedonia (PHQ-2 cardinal depression symptoms) triggered additional items. PHQ-9 scores were provided to the oncology team in real time.
RESULTS: Among 342 patients enrolled, 33 (9.6%) at T1 and 69 (20.2%) at T2 triggered the full PHQ-9 by endorsing at least one cardinal symptom. Feasibility was high, with at least 97% completing the PHQ-2 and at least 96% completing the PHQ-9 when triggered and a mean completion time of about 2 min. The PHQ-9 had good construct validity. Medical oncology patients had the highest percent of positive screens (12.9%) at T1, while HSCT patients had the highest percent (30.5%) at T2. Using this method, 21 (6.1%) at T1 and 54 (15.8%) at T2 of the total sample had moderate to severe depression.
CONCLUSIONS: The PHQ-9 administered on a touch screen computer is feasible and provides valid depression data in a diverse cancer population. (c) 2008 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2009        PMID: 18457335      PMCID: PMC2610244          DOI: 10.1002/pon.1368

Source DB:  PubMed          Journal:  Psychooncology        ISSN: 1057-9249            Impact factor:   3.894


  53 in total

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2.  Rapid assessment of psychosocial well-being: are computers the way forward in a clinical setting?

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3.  Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire.

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4.  Performance of the PHQ-9 as a screening tool for depression after stroke.

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5.  Depression burden, self-help interventions, and side effect experience in women receiving treatment for breast cancer.

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6.  Screening for depression in adults: a summary of the evidence for the U.S. Preventive Services Task Force.

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Review 7.  Routinely administered questionnaires for depression and anxiety: systematic review.

Authors:  S M Gilbody; A O House; T A Sheldon
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8.  Depression and functional status as predictors of death among cancer patients.

Authors:  Manfred Stommel; Barbara A Given; Charles W Given
Journal:  Cancer       Date:  2002-05-15       Impact factor: 6.860

9.  Psychiatric morbidity and its recognition by doctors in patients with cancer.

Authors:  L Fallowfield; D Ratcliffe; V Jenkins; J Saul
Journal:  Br J Cancer       Date:  2001-04-20       Impact factor: 7.640

10.  Validating automated screening for psychological distress by means of computer touchscreens for use in routine oncology practice.

Authors:  A Cull; A Gould; A House; A Smith; V Strong; G Velikova; P Wright; P Selby
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  52 in total

1.  Enhancing patient-provider communication with the electronic self-report assessment for cancer: a randomized trial.

Authors:  Donna L Berry; Brent A Blumenstein; Barbara Halpenny; Seth Wolpin; Jesse R Fann; Mary Austin-Seymour; Nigel Bush; Bryant T Karras; William B Lober; Ruth McCorkle
Journal:  J Clin Oncol       Date:  2011-01-31       Impact factor: 44.544

2.  Risk factors for depression in patients undergoing hematopoietic cell transplantation.

Authors:  Samantha B Artherholt; Fangxin Hong; Donna L Berry; Jesse R Fann
Journal:  Biol Blood Marrow Transplant       Date:  2014-03-18       Impact factor: 5.742

3.  Response to a Relational Agent by Hospital Patients with Depressive Symptoms.

Authors:  Timothy W Bickmore; Suzanne E Mitchell; Brian W Jack; Michael K Paasche-Orlow; Laura M Pfeifer; Julie Odonnell
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4.  Effects of a computer-supported interactive tailored patient assessment tool on patient care, symptom distress, and patients' need for symptom management support: a randomized clinical trial.

Authors:  Cornelia M Ruland; Harald H Holte; Jo Røislien; Cathy Heaven; Glenys A Hamilton; Jørn Kristiansen; Heidi Sandbaek; Stein O Kvaløy; Line Hasund; Misoo C Ellison
Journal:  J Am Med Inform Assoc       Date:  2010 Jul-Aug       Impact factor: 4.497

5.  Depression and survival in metastatic non-small-cell lung cancer: effects of early palliative care.

Authors:  William F Pirl; Joseph A Greer; Lara Traeger; Vicki Jackson; Inga T Lennes; Emily R Gallagher; Pedro Perez-Cruz; Rebecca S Heist; Jennifer S Temel
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6.  A multidimensional scale to measure the reproductive concerns of young adult female cancer survivors.

Authors:  Jessica R Gorman; H Irene Su; John P Pierce; Samantha C Roberts; Sally A Dominick; Vanessa L Malcarne
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7.  Decision-Making Capacity for Chemotherapy and Associated Factors in Newly Diagnosed Patients with Lung Cancer.

Authors:  Asao Ogawa; Kyoko Kondo; Hiroyuki Takei; Daisuke Fujisawa; Yuichiro Ohe; Tatsuo Akechi
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8.  Clinic-based depression screening in lung cancer patients using the PHQ-2 and PHQ-9 depression questionnaires: a pilot study.

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Journal:  Support Care Cancer       Date:  2013-01-17       Impact factor: 3.603

9.  Validity study of Patient Health Questionnaire-9 items for Internet screening in depression among Chinese university students.

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Journal:  Asia Pac Psychiatry       Date:  2016-11-07       Impact factor: 2.538

10.  Is my patient suffering clinically significant emotional distress? Demonstration of a probabilities approach to evaluating algorithms for screening for distress.

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Journal:  Support Care Cancer       Date:  2009-03-10       Impact factor: 3.603

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