Influence of cochlear implantation on the working ability of hearing-impaired patients: A prospective study on potential influencing factors.

PURPOSE: This study evaluates the effect of cochlear implantation (CI) on work ability. The influences of quality of life (QOL), age, mental health, and hearing were analyzed. METHODS: Seventy-nine patients undergoing CI surgery were evaluated preoperatively and 12 months postoperatively. Work ability was evaluated using the Work Ability Index (WAI). QOL was assessed with the Nijmegen Cochlear Implant Questionnaire (NCIQ) and the WHOQOL-BREF. Mental health was assessed with the Patient Health Questionnaire. RESULTS: The WAI was unaffected by CI (Δ 0.8 ± 6.8, p = 0.42). No significant changes in WAI were observed for employees (Δ - 1.1 ± 5.7, p = 0.25) and pensioners (Δ -0.4 ± 7.8, p = 0.73). Patients without elevated depressiveness, stress, or somatoform symptoms had significantly better WAI.The multiple regression analyses show that WHOQOL-BREF (ß = 0.49, p ≤ 0.001), age (ß = -0.34, p ≤ 0.001), and depressiveness (ß = 0.33, p = 0.04) were significantly associated with WAI. In the employee group, the NCIQ (ß = 0.58, p = 0.008) had the strongest association with the WAI. CONCLUSION: Age, mental health, and QOL are predictive factors for work ability. This should be considered in the consultation and the rehabilitation process.

Influence of depressive disorders, stress, and personality traits on quality of life after cochlear implantation.

PURPOSE: This study aimed to determine whether preoperative depressiveness, stress, and personality influence quality of life (QOL) after cochlear implant (CI) surgery. METHODS: In this prospective study, 79 patients undergoing CI surgery were evaluated preoperatively and 12 months postoperatively. Disease-specific QOL was assessed with the Nijmegen Cochlear Implant Questionnaire (NCIQ) and general QOL with the WHOQOL-BREF. Depressiveness and stress were assessed with the Patient Health Questionnaire (PHQ-D). The Charlson Comorbidity Index (CCI) was used to classify comorbidities. The Big Five Personality Test (B5T) was used to assess the basic personality dimensions. Speech comprehension was evaluated in quiet with the Freiburg monosyllable test and in noise with the Oldenburg sentence test. RESULTS: After CI surgery, the total NCIQ score improved significantly (Δ 17.1 ± 14.7, p < 0.001). General QOL (WHOQOL-BREF, Δ 0.4 ± 9.9, p = 0.357), stress (Δ 0.25 ± 3.21, p = 0.486), and depressiveness (Δ 0.52 ± 3.21, p = 0.121) were unaffected by CI surgery. Patients without elevated depressiveness (p < 0.01) or stress (p < 0.001) had significantly better total NCIQ scores. The results of the multiple regression analyses show that, after adjusting for the CCI, personality, age, and mental health stress (ß = - 0.495, p < 0.001) was significantly associated with postoperative NCIQ outcome scores. Depressiveness and neuroticism had the strongest influence on the generic QOL (ß = - 0.286 and ß = - 0.277, p < 0.05). CONCLUSION: Stress symptoms and personality traits are significant predictive factors for disease-specific QOL, as well as hearing status. This should be considered in the preoperative consultation and in optimizing the rehabilitation process.

Gender and the Publication Output of Graduate Students: A Case Study.

We examine gender differences among the six PhD student cohorts 2004-2009 at the California Institute of Technology using a new dataset that includes information on trainees and their advisors and enables us to construct detailed measures of teams at the advisor level. We focus on the relationship between graduate student publications and: (1) their gender; (2) the gender of the advisor, (3) the gender pairing between the advisor and the student and (4) the gender composition of the team. We find that female graduate students co-author on average 8.5% fewer papers than men; that students writing with female advisors publish 7.7% more. Of particular note is that gender pairing matters: male students working with female advisors publish 10.0% more than male students working with male advisors; women students working with male advisors publish 8.5% less. There is no difference between the publishing patterns of male students working with male advisors and female students working with female advisors. The results persist and are magnified when we focus on the quality of the published articles, as measured by average Impact Factor, instead of number of articles. We find no evidence that the number of publications relates to the gender composition of the team. Although the gender effects are reasonably modest, past research on processes of positive feedback and cumulative advantage suggest that the difference will grow, not shrink, over the careers of these recent cohorts.

Wrapping it up in a person: Examining employment and earnings outcomes for Ph.D. recipients.

In evaluating research investments, it is important to establish whether the expertise gained by researchers in conducting their projects propagates into the broader economy. For eight universities, it was possible to combine data from the UMETRICS project, which provided administrative records on graduate students supported by funded research, with data from the U.S. Census Bureau. The analysis covers 2010-2012 earnings and placement outcomes of people receiving doctorates in 2009-2011. Almost 40% of supported doctorate recipients, both federally and nonfederally funded, entered industry and, when they did, they disproportionately got jobs at large and high-wage establishments in high-tech and professional service industries. Although Ph.D. recipients spread nationally, there was also geographic clustering in employment near the universities that trained and employed the researchers. We also show large differences across fields in placement outcomes.

Bioinformatics training programs are hot but the labor market is not*.

Based on a survey of academic training programs and an analysis of advertised job openings, we conclude that the labor market in bioinformatics has changed dramatically from the 1990s to the early 2000s. The number of academic training programs, as well as enrollment in these programs, expanded rapidly during this period. The expansion has created a sizeable pipeline of students who will matriculate from these programs in the near future. Yet, at the same time that this expansion in training programs occurred, demand in the bioinformatics market declined and its origins have shifted largely from industry to academe. Unless conditions in industry change dramatically in the next few years, it is likely that trainees from these programs will have difficulty finding the expected jobs in industry.