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1.
J Pediatr Oncol Nurs ; 7(3): 101-8, 1990 Jul.
Article in English | MEDLINE | ID: mdl-2206471

ABSTRACT

The purpose of this study was to have pediatric oncology nurses identify and rate topic priorities for clinical nursing research in the specialty and to determine if nurses in a pediatric cancer center identified different priorities than did nursing colleagues in other settings. The sample consisted of 44 nurses from a comprehensive pediatric cancer center and 43 nurses attending the 12th Annual APON Conference. A decision-making method, the classical Delphi technique, was used. Three rounds of soliciting opinions by questionnaires were completed, and data from each round were reviewed and categorized by a research team of six nurses until group consensus was achieved. The majority of priorities identified by both groups concerned nursing procedures, the pediatric oncology patient, and the specialty itself. The least number of priorities were in the categories of care delivery systems and families. One difference between the two groups was that professional issues dominated the cancer center sample, whereas psychosocial issues were more prominent in the APON sample.


Subject(s)
Clinical Nursing Research/organization & administration , Oncology Nursing , Pediatric Nursing , Specialties, Nursing , Decision Trees , Delphi Technique , Humans , Organizational Objectives
4.
Comput Biomed Res ; 18(2): 132-6, 1985 Apr.
Article in English | MEDLINE | ID: mdl-3838714

ABSTRACT

A FORTRAN program, called AUTOSCAN, is described. This program permits the collection of photomicrographic data from serial sections to be semiautomated. In essence the user defines a box around a microscopic field of interest. Then the program drives the stage incrementally in the x and y directions, taking photographs of contiguous subfields. The box is defined by the use of a joystick and the "return" key. That is, movements of a joystick cause the stage to translate in the x and y directions. When a corner of the object is reached, as defined by cross-hairs in the microscope eyepiece, the user hits the return key. Repetition of this process at each corner defines a "box" within which photographs are to be taken. AUTOSCAN then calculates the step size and the number of frames to be taken from the user-defined values for the magnification. The actual movements of the stage in the x and y directions and the photography are fully automated. Each frame of film has the x and y coordinates of the center of the subfield being photographed imprinted in one corner, along with other relevant data. The x and y coordinates permit the resultant information to be assembled correctly into a two-dimensional montage.


Subject(s)
Computers , Photomicrography/methods , Software
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