| Literature DB >> 33605055 |
Jerry Guintivano1, Danielle Dick2, Cynthia M Bulik1,3,4.
Abstract
Between April 20, 2020 and June 19, 2020 we conducted a survey of the membership of the Psychiatric Genomics Consortium (PGC) to explore the impact of COVID-19 on their research and academic careers. A total of 123 individuals responded representing academic ranks from trainee to full professor, tenured and fixed-term appointments, and all genders. The survey included both quantitative and free text responses. Results revealed considerable concern about the impact of COVID-19 on research with the greatest concern reported by individuals in nonpermanent positions and female researchers. Concerns about the availability of funding and the impact of the pandemic on career progression were commonly reported by early career researchers. Recommendations for institutions, organizations such as the PGC, as well as individual senior investigators have been provided to ensure that the futures of early career investigators, especially those underrepresented in academic medicine such as women and underrepresented minorities, are not disproportionately disadvantaged by the COVID-19 pandemic.Entities:
Keywords: COVID-19; academic medicine; faculty; funding; promotion
Mesh:
Year: 2021 PMID: 33605055 PMCID: PMC8014778 DOI: 10.1002/ajmg.b.32838
Source DB: PubMed Journal: Am J Med Genet B Neuropsychiatr Genet ISSN: 1552-4841 Impact factor: 3.568
Characteristics of respondents
| Total sample | ||
|---|---|---|
| Variable |
| % |
| Gender | ||
| Female | 66 | 53.7 |
| Male | 48 | 39 |
| Gender variant/nonconforming or not listed | 9 | 7.3 |
| Position held | ||
| Tenured faculty | 69 | 56.1 |
| Nontenured faculty | 25 | 20.3 |
| Trainee | 18 | 14.6 |
| Other | 5 | 4.1 |
| No response | 6 | 4.9 |
| Proportion of research shutdown | ||
| 0% | 37 | 31.6 |
| Up to 20% | 40 | 34.2 |
| Up to 40% | 17 | 14.5 |
| Up to 60% | 11 | 9.4 |
| Up to 80% | 7 | 6 |
| Up to 100% | 5 | 4.3 |
| Transition PGC studies to online | ||
| Yes | 19 | 16.2 |
| No | 43 | 36.8 |
| N/A (e.g., my research is theoretical; my research is secondary data analyses; etc.) | 54 | 46.2 |
| Future changes to research practice | ||
| Yes | 35 | 29.9 |
| No | 33 | 28.2 |
| Too soon to tell | 49 | 41.9 |
| Changes in performance evaluations | ||
| Yes | 37 | 31.6 |
| No | 45 | 38.5 |
| No response | 35 | 29.9 |
Research‐related concerns and stress related to COVID‐19 by academic level
| Variable | Position | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total sample | Tenured faculty | Non‐tenured faculty | Trainee | Other | |||||||||||||||||||
|
| Mean |
| Median |
| Mean |
| Median |
| Mean |
| Median |
| Mean |
| Median |
| Mean |
| Median |
|
| Cohen's | |
| Research‐related concerns | |||||||||||||||||||||||
| Staffing | 114 | 4.02 | 3.23 | 3.5 | 67 | 4.69 | 3.04 | 5 | 25 | 3.92 | 3.21 | 3 | 16 | 0.88 | 1.96 | 0 | 5 | 6 | 3.54 | 7 | 6.31 (1, 111) | 0.01 | 1 |
| Budget | 114 | 3.73 | 3.02 | 3 | 67 | 3.94 | 2.95 | 4 | 25 | 4.2 | 2.93 | 5 | 16 | 0.75 | 2.77 | 0 | 5 | 5.2 | 3.63 | 7 | 1.15 (1, 111) | 0.29 | 0.94 |
| Data collection | 114 | 5.11 | 3.45 | 6 | 67 | 5.31 | 3.43 | 6 | 25 | 4.72 | 3.29 | 4 | 16 | 4.5 | 4.05 | 3 | 5 | 6 | 3.32 | 7 | 0.21 (1, 111) | 0.65 | 1.38 |
| Recruitment | 114 | 5.38 | 3.8 | 7 | 67 | 5.6 | 3.85 | 7 | 25 | 5.72 | 3.58 | 7 | 16 | 3.06 | 3.57 | 2 | 5 | 7.8 | 2.68 | 9 | 0.62 (1, 111) | 0.43 | 1.35 |
| Institutional approval | 114 | 3.38 | 3.13 | 3 | 67 | 3.06 | 3.12 | 2 | 25 | 4.56 | 3 | 5 | 16 | 2.75 | 3.53 | 0.5 | 5 | 4 | 1.58 | 4 | 0.37 (1, 111) | 0.55 | 0.75 |
| Supply procurement | 114 | 2.95 | 3.12 | 2 | 67 | 3.06 | 3.15 | 2 | 25 | 2.96 | 3.19 | 2 | 16 | 1.62 | 2.68 | 0 | 5 | 6.2 | 0.84 | 6 | 0.03 (1, 111) | 0.87 | 0.57 |
| Animal research | 105 | 1.27 | 2.62 | 0 | 61 | 1.74 | 3.03 | 0 | 23 | 0.3 | 0.82 | 0 | 16 | 0.5 | 1.51 | 0 | 4 | 3 | 4.24 | 1.5 | 1.30 (1, 102) | 0.26 | −0.19 |
| Transferring teaching/supervision to remote/online | 114 | 3.94 | 3.26 | 3.5 | 67 | 4.12 | 3.17 | 4 | 25 | 4.44 | 3.34 | 5 | 16 | 2.38 | 3.1 | 1 | 5 | 2.8 | 3.11 | 2 | 2.85 (1, 111) | 0.09 | 0.96 |
| Cancellation of career opportunities | 114 | 5.76 | 3.01 | 7 | 67 | 5.15 | 3.13 | 6 | 25 | 6.48 | 2.74 | 7 | 16 | 6.81 | 2.74 | 7.5 | 5 | 7 | 2.45 | 6 | 6.40 (1, 111) | 0.01 | 1.85 |
| Disruption from having to work from home (technology) | 114 | 3.44 | 2.97 | 3 | 67 | 3.24 | 2.86 | 2 | 25 | 4.32 | 2.98 | 3 | 16 | 2.38 | 3.1 | 1 | 5 | 4.4 | 3.29 | 5 | 0.03 (1, 111) | 0.87 | 0.82 |
| Disruption from having to work from hom (childcare, close quarters, other domestic issues) | 114 | 4.38 | 3.76 | 3.5 | 67 | 3.91 | 3.58 | 3 | 25 | 5.36 | 3.84 | 5 | 16 | 4.25 | 3.99 | 3 | 5 | 5 | 5.18 | 8 | 1.31 (1, 111) | 0.25 | 1 |
| Future funding | 107 | 5.5 | 2.65 | 6 | 62 | 5.21 | 2.73 | 5 | 25 | 6.4 | 2.69 | 7 | 15 | 4.93 | 2.19 | 5 | 4 | 6.5 | 1.29 | 6.5 | 0.60 (1, 104) | 0.44 | 1.98 |
| Impact on career | 98 | 4.8 | 3.26 | 5 | 51 | 3.41 | 2.72 | 2 | 25 | 6.64 | 3.2 | 7 | 16 | 6.81 | 2.64 | 7 | 5 | 4.6 | 3.21 | 5 | 14.1 (1, 95) | 2.90E‐04 | 1.37 |
| Stress level | 111 | 6.31 | 2.49 | 7 | 67 | 5.79 | 2.71 | 6 | 25 | 7.08 | 1.72 | 7 | 15 | 7.27 | 2.15 | 8 | 4 | 7.25 | 1.71 | 7.5 | 6.99 (1, 108) | 9.40E‐03 | 2.51 |
Research‐related concerns and stress related to COVID‐19 by gender
| Variable | Gender | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total sample | Female | Male | |||||||||||||
|
| Mean |
| Median |
| Mean |
| Median |
| Mean |
| Median |
|
| Cohen's | |
| Research‐related concerns | |||||||||||||||
| Staffing | 114 | 4.02 | 3.23 | 3.5 | 66 | 3.71 | 3.25 | 3 | 48 | 4.44 | 3.18 | 5 | 1.41 (1, 112) | 0.24 | −0.23 |
| Budget | 114 | 3.73 | 3.02 | 3 | 66 | 3.36 | 3.03 | 3 | 48 | 4.23 | 2.98 | 4 | 2.31 (1, 112) | 0.13 | −0.29 |
| Data collection | 114 | 5.11 | 3.45 | 6 | 66 | 4.94 | 3.48 | 5 | 48 | 5.35 | 3.44 | 6 | 0.40 (1, 112) | 0.53 | −0.12 |
| Recruitment | 114 | 5.38 | 3.8 | 7 | 66 | 4.61 | 3.73 | 4.5 | 48 | 6.44 | 3.67 | 8 | 6.79 (1, 112) | 0.01 | −0.49 |
| Institutional approval | 114 | 3.38 | 3.13 | 3 | 66 | 3.2 | 3.19 | 2 | 48 | 3.62 | 3.07 | 3 | 0.52 (1, 112) | 0.47 | −0.14 |
| Supply procurement | 114 | 2.95 | 3.12 | 2 | 66 | 2.79 | 3.17 | 1.5 | 48 | 3.17 | 3.07 | 2 | 0.41 (1, 112) | 0.53 | −0.12 |
| Animal research | 105 | 1.27 | 2.62 | 0 | 61 | 0.97 | 2.43 | 0 | 44 | 1.68 | 2.83 | 0 | 1.92 (1, 103) | 0.17 | −0.27 |
| Transferring teaching/supervision to remote/online | 114 | 3.94 | 3.26 | 3.5 | 66 | 3.67 | 3.44 | 3 | 48 | 4.31 | 3 | 4.5 | 1.09 (1, 112) | 0.3 | −0.2 |
| Cancellation of career opportunities | 114 | 5.76 | 3.01 | 7 | 66 | 6.17 | 2.78 | 7 | 48 | 5.21 | 3.25 | 6 | 2.86 (1, 112) | 0.09 | 0.32 |
| Disruption from having to work from home (technology) | 114 | 3.44 | 2.97 | 3 | 66 | 3.58 | 3.04 | 3 | 48 | 3.25 | 2.89 | 3 | 0.33 (1, 112) | 0.57 | 0.11 |
| Disruption from having to work from home (childcare, close quarters, other domestic issues) | 114 | 4.38 | 3.76 | 3.5 | 66 | 5.35 | 3.82 | 7 | 48 | 3.04 | 3.27 | 2 | 11.41 (1, 112) | 1.00E‐03 | 0.64 |
| Future funding | 107 | 5.5 | 2.65 | 6 | 64 | 5.48 | 2.62 | 6 | 43 | 5.53 | 2.72 | 5 | 0.01 (1, 105) | 0.92 | −0.02 |
| Impact on career | 98 | 4.8 | 3.26 | 5 | 58 | 5.53 | 3.22 | 6 | 40 | 3.78 | 3.07 | 2.5 | 7.33 (1, 96) | 8.01E‐03 | 0.56 |
| Stress level | 111 | 6.31 | 2.49 | 7 | 65 | 6.92 | 2.27 | 7 | 46 | 5.43 | 2.54 | 6 | 10.49 (1, 109) | 1.59E‐03 | 0.62 |
Responses to free text questions
| Statements identified by open‐ended questions. Number of comments recorded and themes and illustrative examples (shortened, paraphrased) |
|
|
| 1. Maintain team dynamics (41/125, 32.8%) |
| Utilizing videoconferencing for regular team meetings, being flexible with deadlines, use clear communication |
| 2. Maintain good personal habits (34/125, 27.2%) |
| Keeping in mind productivity may be reduced, practicing self‐care, keeping work and personal areas separate |
| 3. Reprioritizing research goals (26/125, 20.8%) |
| Spend more effort on dry‐lab projects rather than wet‐lab, use available time to complete analyses or manuscripts, utilizing existing data for new projects |
| 4. Shifting recruitment to online means (11/125, 8.0%) |
| Phone interviews rather than face‐to‐face, development of online recruitment and consent protocols |
| Please share your 1–3 most effective strategies for transitioning your PGC research to online settings. (Respondents were instructed to skip the question if they had not made such a transition) (24 comments) |
| 1. Use technology to maintain contact with research participants (10/24, 41.7%) |
| Using online questionnaires and other remote means for recruitment and consent |
| 2. Use technology to support activities of the research team (8/24, 33.3%) |
| Establishing connections to remote databases, regular teleconferencing with colleagues |
| Please describe 1–3 changes you expect to make in your PGC research practices as a result of COVID‐19. (Respondents were instructed to skip the question if they did not anticipate making changes or had checked “it is too soon to tell”) (39 comments) |
| 1. Moving to remote recruitment (10/39, 25.6%) |
| Phone/online recruitment, saliva rather than blood sample collection |
| 2. Increased use of virtual meetings (9/39, 23.1%) |
| Video conferencing for in lieu of lab or scientific meetings |
| 3. Organizational changes (6/39, 15.4%) |
| Expectations for decreased budget, reduced personnel |
| 4. Increased protective measures when collecting samples in‐person (5/39, 12.8%) |
| Increased PPE for blood draws |
| 5. Shifting research priorities (4/39, 10.3%) |
| Add COVID‐19 as a research focus |
| Please describe 1–3 changes the PGC should make to support PGC researchers during and after COVID‐19. (74 comments) |
| 1. Continue to support remote meetings (13/74, 17.6%) |
| Virtual World Congress of Psychiatric Genetics Annual Meeting, Worldwide Lab Meetings |
| 2. Facilitate more secondary analyses (12/74, 16.2%) |
| Making data access easier, increasing time frame on existing proposals, prioritize data access for junior researchers |
| 3. Offer greater support to early career researchers (11/74, 14.9%) |
| Advocate for junior researchers, create support groups for early career researchers |
| 4. Provide support for researchers directly impacted by COVID‐19 (8/74, 10.8%) |
| Leniency for those who see patients and other caregivers, support career advancement for those directly affected by COVID‐19 |
| 5. Provide funding to support researchers (8/74, 10.8%) |
| Bridge funding to sustain PGC research especially among junior researchers and those not part of core PGC funding |
| 6. Provide online training (6/74, 8.1%) |
| Statistical genetics and other key topic courses |
| Is there a question about COVID‐19's impact on your PGC research that we should have asked but did not? (17 comments) |
| 1. We should have asked questions regarding clinical researchers and how their practice has shifted to support COVID‐19 patients (3/17, 17.6%) |
| 2. Respondents wanted more questions into how broader shutdowns (e.g., school closings, unemployment, work from home) have affected productivity, specifically childcare (3/17, 17.6%) |