Rachel A Pozzar1, Donna L Berry2. 1. Northeastern University, Bouvé College of Health Sciences, School of Nursing, 360 Huntington Avenue, Boston, MA 02115, United States; Dana-Farber Cancer Institute, Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, 450 Brookline Avenue, LW 518; Boston, MA 02215, United States. Electronic address: pozzar.r@husky.neu.edu. 2. Northeastern University, Bouvé College of Health Sciences, School of Nursing, 360 Huntington Avenue, Boston, MA 02115, United States; Dana-Farber Cancer Institute, Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, 450 Brookline Avenue, LW 518; Boston, MA 02215, United States.
Abstract
OBJECTIVE: To (a) determine what is known about the individual and contextual factors that may influence whether a woman with ovarian cancer receives guideline care, and (b) identify patient-centered research priorities in ovarian cancer. METHODS: A systematic review of the PubMed, MEDLINE, CINAHL Complete, and PsycInfo online databases. Eligible articles were published in English, described original research, and either (a) identified factors associated with the receipt of guideline care for ovarian cancer, or (b) described treatment decision making by women with ovarian cancer. Studies were excluded in which women with ovarian cancer did not comprise the entire sample of patient participants. Data were collected in accordance with Garrard's Matrix Method. Study quality was evaluated using the QualSyst tool for evaluating primary research papers. Relevant study findings were imported into NVivo Pro 11 for qualitative synthesis. RESULTS: The search strategy yielded 502 unique citations, of which 78 full-text articles were reviewed. Thirty-three articles met the criteria for inclusion. Study quality was high overall. Factors associated with the receipt of guideline care included race and ethnicity, socioeconomic status, insurance type, age, comorbidity, disease stage, tumor characteristics, hospital volume, hospital type, physician volume, and geographic location. Influences on treatment decision making among women with ovarian cancer included the desire to prolong survival, the patient-provider relationship, perceived ability to participate in the treatment decision, values and preferences, information needs, side effects, cost of care, and past experiences with chemotherapy. CONCLUSIONS: There is a need for further research that examines ovarian cancer treatment decision making from the perspective of the patient. Priority topics for future research may include the experiences of diverse women receiving treatment for ovarian cancer and the role of shared decision making with providers, referral networks, and practice patterns in the delivery of guideline care.
OBJECTIVE: To (a) determine what is known about the individual and contextual factors that may influence whether a woman with ovarian cancer receives guideline care, and (b) identify patient-centered research priorities in ovarian cancer. METHODS: A systematic review of the PubMed, MEDLINE, CINAHL Complete, and PsycInfo online databases. Eligible articles were published in English, described original research, and either (a) identified factors associated with the receipt of guideline care for ovarian cancer, or (b) described treatment decision making by women with ovarian cancer. Studies were excluded in which women with ovarian cancer did not comprise the entire sample of patientparticipants. Data were collected in accordance with Garrard's Matrix Method. Study quality was evaluated using the QualSyst tool for evaluating primary research papers. Relevant study findings were imported into NVivo Pro 11 for qualitative synthesis. RESULTS: The search strategy yielded 502 unique citations, of which 78 full-text articles were reviewed. Thirty-three articles met the criteria for inclusion. Study quality was high overall. Factors associated with the receipt of guideline care included race and ethnicity, socioeconomic status, insurance type, age, comorbidity, disease stage, tumor characteristics, hospital volume, hospital type, physician volume, and geographic location. Influences on treatment decision making among women with ovarian cancer included the desire to prolong survival, the patient-provider relationship, perceived ability to participate in the treatment decision, values and preferences, information needs, side effects, cost of care, and past experiences with chemotherapy. CONCLUSIONS: There is a need for further research that examines ovarian cancer treatment decision making from the perspective of the patient. Priority topics for future research may include the experiences of diverse women receiving treatment for ovarian cancer and the role of shared decision making with providers, referral networks, and practice patterns in the delivery of guideline care.
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