Literature DB >> 12458113

Use of a depression screening tool and a fluoxetine-based algorithm to improve the recognition and treatment of depression in cancer patients. A demonstration project.

Steven D Passik1, Kenneth L Kirsh, Dale Theobald, Kathleen Donaghy, Elizabeth Holtsclaw, Sarah Edgerton, William Dugan.   

Abstract

Helping oncologists to identify and treat depression is an important step in improving the overall care of people with cancer. In previous work performed in our community-based, ambulatory oncology outreach network, we validated a depression screening tool, put into place depression screening programs, and taught oncologists how to follow up on screening with brief, reliable clinical interviews. Subsequently, we provided these oncologists with a fluoxetine-based antidepressant algorithm to follow for the treatment of their depressed patients. In this article, we report on the initial experience identifying and treating 35 ambulatory oncology patients who were screened with the Zung Self-rating Depression Scale (ZSDS). Structured follow-up interviews by their oncologist determined whether the patients qualified for a diagnosis of a major depressive episode. These patients then received 1 of 4 treatments based on the algorithm (no treatment, fluoxetine alone, fluoxetine plus bedtime doxepin, or fluoxetine plus methylphenidate). Patients were matched by their oncologist to a prototype patient for each treatment arm based on their symptomatic presentation (i.e., patients requiring a side effect minimization approach were to be placed on fluoxetine alone; patients who had significant insomnia, weight loss, or neuropathic pain were placed on the fluoxetine plus doxepin regimen; those with prominent fatigue were to receive fluoxetine plus methylphenidate). Patients were followed weekly for one month, and then every two weeks for two more months, with telephone assessments of their depression, associated symptoms and overall quality of life. Results suggested that oncologists most often chose the simplest regimen (fluoxetine alone) but that patients uniformly benefited in terms of improved mood and overall quality of life throughout the 12 weeks of follow-up. Our initial experience suggests that oncologists can be empowered to recognize and treat depression in their patients with a screen-and-intervene approach. Such an approach may benefit patients, and, if kept simple, can be incorporated into day-to-day care of people with cancer.

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Year:  2002        PMID: 12458113     DOI: 10.1016/s0885-3924(02)00493-1

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  10 in total

1.  Efficacy of an intervention for fatigue and sleep disturbance during cancer chemotherapy.

Authors:  Andrea Barsevick; Susan L Beck; William N Dudley; Bob Wong; Ann M Berger; Kyra Whitmer; Tracey Newhall; Susan Brown; Katie Stewart
Journal:  J Pain Symptom Manage       Date:  2010-06-18       Impact factor: 3.612

Review 2.  Methylphenidate for the treatment of depressive symptoms, including fatigue and apathy, in medically ill older adults and terminally ill adults.

Authors:  Susan E Hardy
Journal:  Am J Geriatr Pharmacother       Date:  2009-02

3.  Creating computable algorithms for symptom management in an outpatient thoracic oncology setting.

Authors:  Mary E Cooley; David F Lobach; Ellis Johns; Barbara Halpenny; Toni-Ann Saunders; Guilherme Del Fiol; Michael S Rabin; Pamela Calarese; Isidore L Berenbaum; Ken Zaner; Kathleen Finn; Donna L Berry; Janet L Abrahm
Journal:  J Pain Symptom Manage       Date:  2013-05-13       Impact factor: 3.612

4.  Clinical Decision Support for Symptom Management in Lung Cancer Patients: A Group RCT.

Authors:  Mary E Cooley; Emanuele Mazzola; Niya Xiong; Fangxin Hong; David F Lobach; Ilana M Braun; Barbara Halpenny; Michael S Rabin; Ellis Johns; Kathleen Finn; Donna Berry; Ruth McCorkle; Janet L Abrahm
Journal:  J Pain Symptom Manage       Date:  2021-12-16       Impact factor: 5.576

5.  Feasibility of using algorithm-based clinical decision support for symptom assessment and management in lung cancer.

Authors:  Mary E Cooley; Traci M Blonquist; Paul J Catalano; David F Lobach; Barbara Halpenny; Ruth McCorkle; Ellis B Johns; Ilana M Braun; Michael S Rabin; Fatma Zohra Mataoui; Kathleen Finn; Donna L Berry; Janet L Abrahm
Journal:  J Pain Symptom Manage       Date:  2014-05-29       Impact factor: 3.612

6.  Screening for depression, sleep-related disturbances, and anxiety in patients with adenocarcinoma of the pancreas: a preliminary study.

Authors:  Andrew D Boyd; Doris Brown; Chris Henrickson; Janet Hampton; Bin Zhu; Farideh Almani; Edgar Ben-Josef; Mark Zalupski; Diane M Simeone; Jeremy M G Taylor; Roseanne Armitage; Michelle Riba
Journal:  ScientificWorldJournal       Date:  2012-05-22

7.  Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention.

Authors:  David F Lobach; Ellis B Johns; Barbara Halpenny; Toni-Ann Saunders; Jane Brzozowski; Guilherme Del Fiol; Donna L Berry; Ilana M Braun; Kathleen Finn; Joanne Wolfe; Janet L Abrahm; Mary E Cooley
Journal:  JMIR Med Inform       Date:  2016-11-08

8.  Management of psychosocial distress by oncologists.

Authors:  Anna C Muriel; Vivian S Hwang; Alice Kornblith; Joseph Greer; Donna B Greenberg; Jennifer Temel; Lidia Schapira; William Pirl
Journal:  Psychiatr Serv       Date:  2009-08       Impact factor: 4.157

9.  Hospital anxiety and depression scale cutoff scores for cancer patients in acute care.

Authors:  S Singer; S Kuhnt; H Götze; J Hauss; A Hinz; A Liebmann; O Krauss; A Lehmann; R Schwarz
Journal:  Br J Cancer       Date:  2009-02-24       Impact factor: 7.640

Review 10.  The vital link between chronic disease and depressive disorders.

Authors:  Daniel P Chapman; Geraldine S Perry; Tara W Strine
Journal:  Prev Chronic Dis       Date:  2004-12-15       Impact factor: 2.830

  10 in total

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