Literature DB >> 15662181

Evaluation of the Missoula-VITAS Quality of Life Index--revised: research tool or clinical tool?

Carolyn E Schwartz1, Melanie P Merriman, George Reed, Ira Byock.   

Abstract

BACKGROUND: Quality of life (QOL) is a central outcome measure in caring for seriously ill patients. The Missoula-VITAS Quality of Life Index (MVQOLI) is a 25-item patient-centered index that weights each of five QOL dimensions (symptoms, function, interpersonal, wellbeing, transcendence) by its importance to the respondent. The measure has been used to assess QOL for hospice patients, and has been found to be somewhat complex to use and analyze.
OBJECTIVE: This study aimed to simplify the measure, and evaluate the reliability and validity of a revised version as either a research or clinical tool (i.e., "psychometric" versus "clinimetric").
DESIGN: Two data collection efforts are described. The psychometric study collected QOL data from 175 patients at baseline, 3-5 days, and 21 days later. The implementation study evaluated the feasibility and utility of the MVQOLI-R during over six weeks of use. SETTING/
SUBJECTS: End-stage renal patients on dialysis, hospice, or long-term care patients participated in the psychometric study. The implementation study was done in hospice, home health, and palliative care settings. MEASUREMENTS: The MVQOLI-R and the Memorial Symptom Assessment Scale.
RESULTS: The psychometric and implementation studies suggest that the MVQOLI-R performs well as a clinical tool but is not powerful as an outcome research instrument. The MVQOLI-R has the heterogeneous structure of clinimetric tools, and demonstrated both relevance and responsiveness. Additionally, in a clinical setting the MVQOLI-R was useful therapeutically for stimulating communication about the psychosocial and spiritual issues important to the tasks of life completion and life closure.
CONCLUSIONS: The MVQOLI-R has clinical utility as a patient QOL assessment tool and may have therapeutic utility as a tool for fostering discussion among patients and their clinicians, as well as for helping patients identify sources of suffering and opportunities during this time in their lives.

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Year:  2005        PMID: 15662181     DOI: 10.1089/jpm.2005.8.121

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  22 in total

1.  Palliative care symptom assessment for patients with cancer in the emergency department: validation of the Screen for Palliative and End-of-life care needs in the Emergency Department instrument.

Authors:  Christopher T Richards; Michael A Gisondi; Chih-Hung Chang; D Mark Courtney; Kirsten G Engel; Linda Emanuel; Tammie Quest
Journal:  J Palliat Med       Date:  2011-05-06       Impact factor: 2.947

2.  Guidelines for secondary analysis in search of response shift.

Authors:  Carolyn E Schwartz; Sara Ahmed; Richard Sawatzky; Tolulope Sajobi; Nancy Mayo; Joel Finkelstein; Lisa Lix; Mathilde G E Verdam; Frans J Oort; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2013-04-10       Impact factor: 4.147

3.  Method variation in the impact of missing data on response shift detection.

Authors:  Carolyn E Schwartz; Tolulope T Sajobi; Mathilde G E Verdam; Veronique Sebille; Lisa M Lix; Alice Guilleux; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2014-07-10       Impact factor: 4.147

4.  Measuring health-related quality of life in patients with advanced cancer: a systematic review of self-administered measurement instruments.

Authors:  Janneke van Roij; Heidi Fransen; Lonneke van de Poll-Franse; Myrte Zijlstra; Natasja Raijmakers
Journal:  Qual Life Res       Date:  2018-02-10       Impact factor: 4.147

5.  Response shift in patients with multiple sclerosis: an application of three statistical techniques.

Authors:  Carolyn E Schwartz; Mirjam A G Sprangers; Frans J Oort; Sara Ahmed; Rita Bode; Yuelin Li; Timothy Vollmer
Journal:  Qual Life Res       Date:  2011-11-13       Impact factor: 4.147

6.  Fluctuations in appraisal over time in the context of stable versus non-stable health.

Authors:  Carolyn E Schwartz; Brian R Quaranto; Bruce D Rapkin; Brian C Healy; Timothy Vollmer; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2013-07-13       Impact factor: 4.147

7.  Health-related quality of life in cancer patients at the end of life, translation, validation, and longitudinal analysis of specific tools: study protocol for a randomized controlled trial.

Authors:  Anne-Lise Poirier; Fabrice Kwiatkowski; Jean-Marie Commer; Bénédicte D'Aillières; Virginie Berger; Mariette Mercier; Franck Bonnetain
Journal:  Trials       Date:  2012-04-20       Impact factor: 2.279

8.  Is psychometric scoring of the McNew Quality of Life after Myocardial Infarction questionnaire superior to the clinimetric scoring? A comparison of the two approaches.

Authors:  A Ribera; G Permanyer-Miralda; J Alonso; P Cascant; N Soriano; C Brotons
Journal:  Qual Life Res       Date:  2006-04       Impact factor: 4.147

9.  Quality of Life in Palliative Care.

Authors:  Mellar P Davis; David Hui
Journal:  Expert Rev Qual Life Cancer Care       Date:  2017-11-08

10.  Validation of a core outcome measure for palliative care in Africa: the APCA African Palliative Outcome Scale.

Authors:  Richard Harding; Lucy Selman; Godfrey Agupio; Natalya Dinat; Julia Downing; Liz Gwyther; Thandi Mashao; Keletso Mmoledi; Tony Moll; Lydia Mpanga Sebuyira; Barbara Panjatovic; Irene J Higginson
Journal:  Health Qual Life Outcomes       Date:  2010-01-25       Impact factor: 3.186

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