Marcia Grant

Bio: Marcia Grant is an academic researcher from City of Hope National Medical Center. The author has contributed to research in topics: Quality of life (healthcare) & Palliative care. The author has an hindex of 60, co-authored 250 publications receiving 11022 citations. Previous affiliations of Marcia Grant include Beckman Research Institute & University of the Sciences.

Measurement of the quality of life in cancer survivors

Abstract: A QOL instrument was developed to measure the specific concerns of long term cancer survivors. The QOL-CS is based on previous versions of the QOL instrument developed by researchers at the City of Hope National Medical Centre (Grant, Padilla, and Ferrell). This instrument was revised over a one year pilot by Hassey-Dow and Ferrell. The revised instrument included 41 items representing the four domains of quality of life incorporating physical, psychological, social, and spiritual well being. The present study was conducted as a mail survey to the membership (n = 1,200) of the National Coalition for Cancer Survivorship with 686 subjects responding to the survey. This survey included a Demographic tool, QOL-CS and the FACT-G tool developed by Cella. Psychometric analysis, performed on 686 respondents, included measures of reliability and validity. Two measures of reliability included test-retest and internal consistency. The overall QOL-CS tool test-retest reliability was 0.89 with subscales of Physical r = 0.88, Psychological r = 0.88, Social r = 0.81, and Spiritual, r = 0.90. The second measure of reliability was computation of internal consistency using Cronbach's alpha coefficient as a measure of agreement between items and subscales. Analysis revealed an overall r = 0.93. Subscale alphas average ranged from r = 0.71 for spiritual well being, r = 0.77 for physical, r = 0.81 for social, and r = 0.89 for psychological. Several measures of validity were used to determine the extent to which the instrument measured the concept of QOL in cancer survivors. The first method of content validity was based on a panel of QOL researchers and nurses with expertise in oncology. The second measure used stepwise multiple regression to determine factors most predictive of overall QOL in cancer survivors. Seventeen variables were found to be statistically significant accounting for 91% of the variance in overall QOL. The fourth measure of validity used Pearson's correlations to estimate the relationships between the subscales of QOL-CS and the subscales of the established FACT-G tool. There was moderate to strong correlation between associated subscales including QOL-CS physical to FACT physical (r = 0.74), QOL-CS Psych to FACT Emotional (r = 0.65), QOL Social to FACT Social (r = 0.44). The overall QOL-CS correlation with the FACT-G was 0.78. Additional measures of validity included correlations of individual items of the QOL-CS tool, factor analysis, and construct validity discriminating known groups of cancer survivors. Findings demonstrated that the QOL-CS and its subscales adequately measured QOL in this growing population of cancer survivors.

Quality of life in breast cancer. Part II: Psychological and spiritual well-being.

Abstract: With an increasing number of women surviving breast cancer beyond treatment, the focus of care has shifted from the acute treatment-related side effects to long-term effects associated with changes in quality of life (QOL). Part I of this article described the impact of breast cancer on the domains

Quality of life index for patients with cancer.

Abstract: The purpose of this study was to develop an instrument for measuring the quality of life of cancer patients. Quality of life was measured with 14 linear analogue scale items concerning general physical condition, normal activities, and personal attitudes on general quality of life. The tool was tested with four subject groups: oncology outpatients receiving chemotherapy (43) or radiation therapy (39), oncology inpatients receiving chemotherapy (48), and nonpatient volunteers (48). Test-retest reliability coefficients for these samples ranged from r = .11 to .97, with 52 of the 56 possible r's greater than .60, p less than .01; internal consistency was .88, p less than .01. Construct and discriminant validity were indicated, while concurrent validity between quality of life scores and physician estimates of Karnofsky ratings, prognosis, and quality of life were poor.

Quality of Life in Breast Cancer Survivors as Identified by Focus Groups

Abstract: Currently, over 1,700,000 women are living with breast cancer in the United States. These long-term survivors of breast cancer are challenged to redirect their energy from issues of cancer treatment and early side effects toward quality of life issues related to long-term survivorship, such as menopause, infertility, fear of recurrence, family distress, and uncertainty. In an attempt to obtain patient perspectives on quality of life and health care issues faced by breast cancer survivors, focus group methodology was utilized in the first year of a 2 year study. The sample was stratified to represent three age groups: 60, and was intended to represent different developmental levels believed to have varying experiences with quality of life and potentially divergent needs following breast cancer diagnosis. Results of these focus groups revealed unique quality of life concerns of breast cancer survivors across four domains of physical, psychological, social, and spiritual well being. Each of these domains yields important implications for future research and clinical practice.

Three Approaches to Qualitative Content Analysis

Abstract: Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.

Cancer treatment and survivorship statistics, 2016.

Abstract: The number of cancer survivors continues to increase because of both advances in early detection and treatment and the aging and growth of the population. For the public health community to better serve these survivors, the American Cancer Society and the National Cancer Institute collaborate to estimate the number of current and future cancer survivors using data from the Surveillance, Epidemiology, and End Results cancer registries. In addition, current treatment patterns for the most prevalent cancer types are presented based on information in the National Cancer Data Base and treatment-related side effects are briefly described. More than 15.5 million Americans with a history of cancer were alive on January 1, 2016, and this number is projected to reach more than 20 million by January 1, 2026. The 3 most prevalent cancers are prostate (3,306,760), colon and rectum (724,690), and melanoma (614,460) among males and breast (3,560,570), uterine corpus (757,190), and colon and rectum (727,350) among females. More than one-half (56%) of survivors were diagnosed within the past 10 years, and almost one-half (47%) are aged 70 years or older. People with a history of cancer have unique medical and psychosocial needs that require proactive assessment and management by primary care providers. Although there are a growing number of tools that can assist patients, caregivers, and clinicians in navigating the various phases of cancer survivorship, further evidence-based resources are needed to optimize care. CA Cancer J Clin 2016;66:271-289. © 2016 American Cancer Society.

The Functional Assessment of Cancer Therapy scale: development and validation of the general measure.

Abstract: PURPOSEWe developed and validated a brief, yet sensitive, 33-item general cancer quality-of-life (QL) measure for evaluating patients receiving cancer treatment, called the Functional Assessment of Cancer Therapy (FACT) scale.METHODS AND RESULTSThe five-phase validation process involved 854 patients with cancer and 15 oncology specialists. The initial pool of 370 overlapping items for breast, lung, and colorectal cancer was generated by open-ended interview with patients experienced with the symptoms of cancer and oncology professionals. Using preselected criteria, items were reduced to a 38-item general version. Factor and scaling analyses of these 38 items on 545 patients with mixed cancer diagnoses resulted in the 28-item FACT-general (FACT-G, version 2). In addition to a total score, this version produces subscale scores for physical, functional, social, and emotional well-being, as well as satisfaction with the treatment relationship. Coefficients of reliability and validity were uniformly high. The ...