Literature DB >> 7675685

1994 Oncology Nursing Society Research Priorities Survey.

K M Stetz1, M R Haberman, J Holcombe, L S Jones.   

Abstract

PURPOSE/
OBJECTIVES: To determine oncology nursing research priorities as well as the type of research needed to address these priorities.
DESIGN: Cross-sectional survey design.
SETTING: Mail-out survey with return, postage-paid envelope provided. SAMPLE: A random sample of 10% of Oncology Nursing Society (ONS) members who identified patient care as their primary functional area, the ONS leadership group (e.g., Board of Directors, all committee chairs), all doctorally prepared ONS members, and all members of the ONS Advanced Nursing Research Special interest Group (N = 2,178).
METHODS: The questionnaire was based on prior ONS Research Surveys and updated to reflect issues or topics that currently are relevant to oncology nurses. MAIN RESEARCH VARIABLES: Priority ranking of 93 research topics organized into seven major categories.
FINDINGS: Seven hundred eighty-nine surveys were returned, for a 36% return rate. The top 10 priorities according to the priority index were pain; prevention; quality of life; risk reduction/screening; ethical issues; neutropenia/immunosuppression; patient education; stress, coping, and adaptation; detection; and cost containment.
CONCLUSIONS: The top 10 research issues can be used to develop priorities for the direction of research in oncology nursing. IMPLICATIONS FOR NURSING PRACTICE: The findings provide a basis for identifying trends in nursing practice. The fact that prevention, risk reduction, and detection appear in the top 10 suggests that nurses are moving toward a definition of practice that is not limited to managing symptoms of disease. These findings also provide guidance for forming health policy in cancer care.

Entities:  

Mesh:

Year:  1995        PMID: 7675685

Source DB:  PubMed          Journal:  Oncol Nurs Forum        ISSN: 0190-535X            Impact factor:   2.172


  1 in total

1.  Item banking to improve, shorten and computerize self-reported fatigue: an illustration of steps to create a core item bank from the FACIT-Fatigue Scale.

Authors:  Jin-shei Lai; David Cella; Chih-Hung Chang; Rita K Bode; Allen W Heinemann
Journal:  Qual Life Res       Date:  2003-08       Impact factor: 4.147

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.