Survey responses were obtained from 473 researchers and staff from 37 VA Medical Centers (range 1–42 responses per center) (Appendix
2); 32% (
n = 151) of responses were from the VA ART reporter invite list, while 68% (
n = 321) were forwarded from someone on the invite list. Respondents were primarily female (
n = 359; 76%), white (
n = 392, 83%), 44 years old (range:19–75 years), with a PhD (
n = 188; 40%) or bachelor’s degree (
n = 137, 29%). Respondents included support staff, (i.e., methodologists, project managers, research administration, research assistant, clinical research role [nurse, social worker, etc.]) (
n = 270, 57%), clinician investigators (
n = 96; 20%), and non-clinician investigators (
n = 91, 19%) (Table
1). Responses to the open-text option for each survey item varied and all thematically mapped to the overarching survey questions and additional themes were identified regarding barriers to remote work and personal and emotional impacts of COVID-19 telework. These themes are noted in the paragraphs below.
Table 1
Respondent demographics (n = 473)
Age | 43.7 (12.2) |
Gender | N (%) |
Female | 359 (76) |
Male | 100 (21) |
Non-binary | 7 (1.5) |
Prefer not to Answer | 6 (1.3) |
Race |
White | 392 (83) |
Asian or Pacific Islander | 34 (7) |
Black | 18 (4) |
Other or did not answer | 19 (4) |
Multi-racial | 10 (2) |
Ethnicity |
Not of Hispanic Origin | 439 (94) |
Educational Degree |
Doctor of Philosophy | 188 (40) |
Bachelor of Arts and/or Sciences | 137 (29) |
Master of Public Health, Nursing, or Social Work | 133 (28) |
Other | 118 (25) |
Professional Degree |
Medical Doctor/Doctor of Osteopathy | 55 (12) |
Registered Nurse | 15 (3) |
Research Role |
Support Staff (project manager, methodologist, administration, research assistant, clinical research role) | 270 (57) |
Clinician Investigator | 96 (20) |
Non-clinician Investigator | 91 (19) |
Fellow | 17 (4) |
Prior to the COVID-19 pandemic, 83% (
n = 391) reported rarely (0–1 day/week) working remotely. During the pandemic, 69% (
n = 324) were working remotely 5 days/week. Half of respondents (52%
n = 244) indicated telework was not interfering with their research and 55% (
n = 260) reported they had not stopped any research due to the COVID-19 pandemic (Table
2). Of those participants who provided open text responses, 41% (
n = 101) reported their research had slowed or stopped due to national and local restrictions on conducting non-COVID related in-person research activities, as well as clinical requirements:
“As an Emergency Medicine physician, my clinical time has increased significantly… It feels like research has had to take a back seat” (Female, Asian or Pacific Islander, Clinician Investigator, Interferes to a Great Extent)
. An additional 20% (
n = 51) reported COVID-19-specific safety concerns for their study population (e.g., veterans, VA staff, etc.) or changes to the feasibility of an intervention:
“…implementation studies paused due to staff overwhelmed at facilities we are working with” (Female, White, Clinician Investigator, Interferes Somewhat).
Table 2
Telework days and interference with research due to the COVID-19 pandemic
Telework days per week |
0 days | 279 (59) | 27 (6) |
1 day | 112 (24) | 21 (5) |
2 days | 34 (7) | 13 (3) |
3 days | 13 (3) | 30 (6) |
4 days | 5 (1) | 56 (12) |
5 + days | 30 (6) | 324 (69) |
Interference with Research due to remote work |
None | | 244 (52) |
Some | | 192 (41) |
Great | | 36 (7) |
Stopping of Research due to remote work |
None | | 260 (55) |
Some | | 150 (32) |
All | | 9 (2) |
Not Applicable | | 54 (11) |
Results from the regression model of work stoppage showed no association between work stoppage and any of covariates based on a likelihood ratio test (LRT) assessing the (overall) effect of each covariate. Modeling of interference as the response variable showed a statistically significant association (based on LRT) between interference and age, role, and stage.
Relative to the (referent) clinician investigator category, non-clinician investigators (OR: 0.39 [95% CI 0.21-0.73] p = 0.003) and support staff (OR: 0.23 (95% [CI 0.13-0.41], p < 0.001) reported lower odds of interference. For age modeled categorically, the referent 40–46 category reported the highest level of interference with the 47–55 (OR: 0.32 [95% CI 0.17-0.61], p < 0.001) and > 55 (OR: 0.32 [95% CI 0.16-0.64], p = 0.001) year old age groups reporting significantly lower odds of interference. We’ve chosen to exclude interpretation/reporting of clinical and translational stage results as most respondents did not report the stage of their research.
Barriers to remote work during the COVID-19 pandemic
While many respondents did not slow or stop their research, most (81%;
n = 385) reported experiencing at least one barrier to remote work (Table
3). The most common barriers were missing face-to-face interactions with colleagues (
n = 263; 56%):
“I have felt lonely. It took me a long time to get used to working away from the office…But most of all I miss the daily interactions with my coworkers, many of whom are also my friends” (Female, White, Data Programmer, Does not interfere) and absence of daily routine (
n = 118, 25%):
“It's difficult to find time for self-care because I am tired after looking at a computer screen all day and the lack of routine to go somewhere to physically work is extremely difficult and under stimulating” (Female, White, Fellow, Does not interfere). Technology issues were a challenge with participants reporting secure VA internet connection issues (
n = 109, 23%) and general internet issues (
n = 105, 22%):
“Brief interruptions in internet that disrupt the VA virtual private network (VPN) are the other main hurdle” (Female, White, Clinician Investigator, Interferes somewhat);
“Technology has been an ongoing source of stress too—recruitment calls and recording qualitative interviews has become a hodge-podge of solutions and with VA also transitioning from Skype to Microsoft Teams, our current workarounds (which took weeks to figure out, depending on the various teams' needs, technology resources, and institutional review board approvals for different tools) are about to be disrupted again.” (Female, White, Qualitative Methodologist, Interferes somewhat). Additionally, participants reported limited private workspace at home (
N = 110, 23%):
“One major challenge is that my home- work environment is not optimized for working-from-home. We have no separate space outside of our bedroom and the living room for working, and with two adults working from home and 7-year-old kid three days of the week, there is sometimes no place to have uninterrupted work or meeting time.” (Female, White, Project Manager, Interferes somewhat) and barriers to childcare (
N = 87, 18
%): “Although my children are elementary and middle school, they still require attention throughout the day since they have no structured activities (i.e. no camp, no babysitter) …like many women bearing the burden of childcare my career is slowing down” (Female, Prefer not to say, Clinician Investigator, Interferes somewhat).
Table 3
Barriers to remote work and strategies to engage staff
Missing daily face-to-face interaction (work/social) with colleagues | 263 (56) |
Absence of daily routine | 118 (25) |
Secure VA internet connection issues | 109 (23) |
Limited private workspace in home | 110 (23) |
Internet issues | 105 (22) |
No barriers | 104 (22) |
Other barriers | 88 (19) |
Childcare Issues | 87 (18) |
Inadequate IT equipment in home | 77 (16) |
Elder care | 10 (2) |
What strategies are being implemented by local leadership, investigators, project leads, or project managers to engage staff in a productive way (check all that apply)? (N = 322) |
Videoconference meetings | 375 (79) |
Altered timelines and project expectations | 199 (42) |
Informal video conference-based gatherings (coffee, lunch, social) | 225 (48) |
Daily COVID email updates | 143 (30) |
Group self-care activities (on-line meditation, knitting, book club) | 149 (32) |
Daily huddles via phone or video chats | 74 (16) |
Group text updates | 81 (17) |
Other strategies | 41 (9) |
None of these are implemented in my team(s) | 30 (6) |
Analysis conducted on 89 open text responses indicated additional barriers to remote work than those captured by the quantitative findings, including challenges conducting research during the COVID-19 pandemic: “We have been unable to conduct some group interventions and other face-to-face interactions around data collection, intervention delivery, and implementation for a number of the projects that I work on.” (Female, White, Non-clinician investigator, Does not interfere). Additional challenges included: “difficulty reaching coworkers rapidly for assistance (phone unreliable, email slow response)” (Female, White, Clinician Investigator, Interferes somewhat) and professional impacts of the pandemic on their careers. For example, one respondent shared, “I am fearful that funding is going to be harder to get in the future especially if my team's productivity is low. While trying to maintain flexibility with everyone's mental health, home issues, and logistics, I am really struggling with setting expectations, modifying deadlines, setting priorities, and providing motivation. While working remotely has some positive sides like no commute, it is incredibly draining due to the high amount of effort required for communication” (Male, White, Non-clinician investigator, Interferes to a great extent).
Personal and emotional impacts of COVID-19 telework were shared, such as: “I'm worried about getting sick, but I'm more worried about getting my partner, grandparents, or roommates sick. In that regard, I'm happy to be working at home due to less physical risk, but higher emotional risk.” (Female, White, Fellow, Does not interfere). Another participant shared, “I'm dealing with legal issues with the death of my dad and uncle, and major house repairs that take a lot of mental energy and occasionally cause disruption (i.e., too loud to work at home, no electricity). I am also deeply affected by the racial protests and am trying to be actively engaged in conversations and actions around antiracism, but am finding that challenging to do from home, as well as balancing it with concerns about physical distancing” (Female, White, Qualitative analyst, Interferes somewhat).
Local VA leadership support during the transition to remote work varied, with some reporting a positive perception of leadership during the pandemic:
“I am experiencing a lot of personal and professional growth, and much of that comes from the opportunity to reprioritize what I want to work on, and having a receptive audience in my colleagues and leadership to recognize how much we need to pivot our activities” (Female, White, Non-Clinician Investigator, Interferes somewhat) and
“Leadership has open office hours; dedicated check-in time built into meetings; lots of communication acknowledging difficulties & advocating for flexibility.” (Female, White, Non-Clinician Investigator, Interferes somewhat). Others reported negative perceptions of their local leadership during the pandemic:
“I feel disconnected to the department as a whole and from leadership as to what future plans are in place. I would prefer more communication even if it is simply to say we have no updates, you can plan to telework for the next weeks/months. To have zero communication leaves me to wonder and worry about the future.” (Female, White, Research Assistant, Does not interfere). The codes, definitions and counts for the open text responses are organized by level of interference and presented in Appendix
3.
Workarounds or strategies to remote work barriers
The primary strategy used to support team engagement, productivity and well-being during COVID-19 remote work was videoconferencing (
n = 375; 79%). Respondents shared:
“We have been using videoconferencing platforms for meetings, which… offers more social interaction than phone.” (Male, White, Non-clinician investigator, Does not interfere). Teams reported to altering timelines (
n = 199, 42%):
“Nothing put on hold, but the timelines are being adjusted to accomplish smaller steps while leadership is busy with additional COVID responsibilities” (Female, White, Program Manager, Does not interfere). Many reported using regular email updates (
n = 143, 30%), group text updates (
n = 81, 17%), and huddles via phone or video chat (
n = 74, 16%). Additional strategies included informal video-based gatherings (
n = 225, 48%) and starting group self-care activities (
n = 149, 32%):
“We share what TV shows we're watching, how we're coping, what we're growing, etc
. As some of the restrictions have been lifted here, we have had a couple of socially distant in-person gatherings to celebrate team birthdays” (Female, White, Non-clinician investigator, Does not interfere). The codes, definitions and counts for the open text responses are organized by level of research disruption and presented with representative text responses in Table
3 and Appendix
4.