Genetic counselors are health professionals specially trained in medical genetics and counseling. Twenty-nine masters level genetic counseling training programs exist in North America and collectively admit approximately 195 students each year. Continuation of the education and training of these specialized health professionals has significant public health importance. The existing admissions process has recently proven to be labor intensive and time consuming, with difficulty encountered while trying to fill programs. As a result of these obstacles, an alternative admissions procedure was explored. The match algorithm used by U.S. medical residency programs was used as a basis for this study. Under this system, software utilizes rank order lists submitted by programs and applicants to place the two parties into the most mutually beneficial program-applicant pairings. Twenty-seven genetic counseling programs and 166 current first year students participated in a survey that gathered program and student preferences. In addition, interest, opinions, and suggestions concerning the existing and proposed admissions system were ascertained. Due to incomplete student participation in the study, the U.S. residency match algorithm was modified. Compared with the existing admissions process, the match resulted in more programs (4 of 27) with unfilled slots, and approximately equal student satisfaction in terms of which program they were matched to. The accuracy of the modified match results is limited due to the match modifications and insufficient number of study participants. The majority of students (66%) indicated they would not be willing to participate in a match and 75% indicated they were satisfied or very satisfied with the existing admissions process. Program directors were largely satisfied with the existing process (81%). Benefits of a match may include: time efficiency, reduction in anxiety, and ease of process. Both students and program directors perceived barriers to the implementation of a match, including the problem of financial aid distribution under a match, the operating costs, and loss of decision making ability. Both groups suggested improvements for the existing admissions process. Suggestions included introduction of a universal application and an earlier notification date for admissions decisions. This study serves as a collection of data to be used for further investigation into the use of a matching algorithm in genetic counseling admissions.
| Identifer | oai:union.ndltd.org:PITT/oai:PITTETD:etd-04112006-104139 |
| Date | 01 June 2006 |
| Creators | Newton, Stephanie Ann |
| Contributors | Eleanor Feingold, PhD, Robin Grubs, PhD, John Wilson, PhD, Elizabeth Gettig, MS |
| Publisher | University of Pittsburgh |
| Source Sets | University of Pittsburgh |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.library.pitt.edu/ETD/available/etd-04112006-104139/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to University of Pittsburgh or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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