| Literature DB >> 35849088 |
Jenna Honan1, Maia Ingram2, Carolina Quijada1, Marvin Chaires1, Jocelyn Fimbres1, Catherine Ornelas1, Sam Sneed1, Leah Stauber1, Rachel Spitz3, Flor Sandoval3, Scott Carvajal2, Dean Billheimer4, Ann Marie Wolf3, Paloma Beamer1.
Abstract
The COVID-19 pandemic has simultaneously exacerbated and elucidated inequities in resource distribution for small businesses across the United States in terms of worker health and the financial stability of both owners and employees. This disparity was further intensified by the constantly changing and sometimes opposing health and safety guidelines and recommendations to businesses from the local, state, and federal government agencies. To better understand how the pandemic has impacted small businesses, a cross-sectional survey was administered to owners, managers, and workers (n = 45) in the beauty and auto shop sectors from Southern Arizona. The survey identified barriers to safe operation that these businesses faced during the pandemic, illuminated worker concerns about COVID-19, and elicited perceptions of how workplaces have changed since the novel coronavirus outbreak of 2019. A combination of open-ended and close-ended questions explored how businesses adapted to the moving target of pandemic safety recommendations, as well as how the pandemic affected businesses and workers more generally. Almost all the beauty salons surveyed had to close their doors (22/25), either temporarily or permanently, due to COVID-19, while most of the auto repair shops were able to stay open (13/20). Beauty salons were more likely to implement exposure controls meant to limit transmission with customers and coworkers, such as wearing face masks and disallowing walk-ins, and were also more likely to be affected by pandemic-related issues, such as reduced client load and sourcing difficulties. Auto shops, designated by the state of Arizona to be 'essential' businesses, were less likely to have experienced financial precarity due to the pandemic. Content analysis of open-ended questions using the social-ecological model documented current and future worker concerns, namely financial hardships from lockdowns and the long-term viability of their business, unwillingness of employees to return to work, uncertainty regarding the progression of the pandemic, conflict over suitable health and safety protocols, and personal or family health and well-being (including anxiety and/or stress). Findings from the survey indicate that small businesses did not have clear guidance from policymakers during the pandemic and that the enacted regulations and guidelines focused on either health and safety or finances, but rarely both. Businesses often improvised and made potentially life-changing decisions with little to no support. This analysis can be used to inform future pandemic preparedness plans for small businesses that are cost-efficient, effective at reducing environmental exposures, and ultimately more likely to be implemented by the workers.Entities:
Keywords: COVID-19 pandemic; community-engaged research; cross-sectional survey; environmental exposures; occupational health and safety; small business; social-ecological model
Year: 2022 PMID: 35849088 PMCID: PMC9384486 DOI: 10.1093/annweh/wxac048
Source DB: PubMed Journal: Ann Work Expo Health ISSN: 2398-7308 Impact factor: 2.779
Figure 1.The social-ecological model and hierarchy of controls.
Survey respondent background and demographic characteristics
| Overall | Auto Shops | Beauty Salons |
| |
|---|---|---|---|---|
| Employee type | ||||
| Employee | 16 (35.6) | 7 (35.0) | 9 (36.0) | 0.703 |
| Manager | 10 (22.2) | 4 (20.0) | 6 (24.0) | |
| Owner | 17 (37.8) | 9 (45.0) | 8 (32.0) | |
| None of the above | 1 (2.2) | 0 (0.0) | 1 (4.0) | |
| Preferred not to answer | 1 (2.2) | 0 (0.0) | 1 (4.0) | |
| Gender | ||||
| Female | 25 (55.6) | 6 (30.0) | 20 (80.0) | 0.002* |
| Male | 20 (44.4) | 14 (70.0) | 5 (20.0) | |
| Age | ||||
| 18–39 | 19 (42.2) | 6 (30.0) | 13 (52.0) | 0.618 |
| 40–59 | 15 (33.3) | 7 (35.0) | 8 (32.0) | |
| 60+ | 8 (17.8) | 6 (30.0) | 2 (8.0) | |
| Preferred not to answer | 3 (6.7) | 1 (5.0) | 2 (8.0) | |
| Highest level of education | ||||
| Completed high school | 7 (15.6) | 4 (20.0) | 3 (12.0) | 0.002* |
| Some trade school | 1 (2.2) | 1 (5.0) | 0 (0.0) | |
| Completed trade school | 15 (33.3) | 1 (5.0) | 14 (56.0) | |
| Some college | 14 (31.1) | 11 (55.0) | 3 (12.0) | |
| Completed college or graduate school | 8 (17.8) | 3 (15.0) | 5 (20.0) | |
| Ethnicity | ||||
| Hispanic, Latino, or Spanish origin | 21 (46.7) | 6 (30.0) | 12 (48.0) | 0.358 |
| Not of Hispanic, Latino, or Spanish origin | 24 (53.3) | 14 (70.0) | 13 (52.0) |
*Statistically significant difference between auto shops and beauty salons (P < 0.05).
Survey responses regarding pandemic-related barriers faced since March 2020
| Auto shops | Beauty salons |
| |
|---|---|---|---|
| Temporary or permanent closure | 8 (40) | 22 (88) | 0.002* |
| Received financial assistance | 8 (40) | 11 (44) | 0.334 |
| Had difficulty purchasing products | |||
| Disinfectant/cleaning supplies | 15 (75) | 17 (68) | 0.382 |
| Hand soap/hand sanitizer | 11 (55) | 11 (44) | 0.240 |
| Personal protective equipment | 9 (45) | 13 (52) | 0.868 |
| Received at least one vaccine dose | 16 (80) | 21 (84) | 0.526 |
*Statistically significant difference between auto shops and beauty salons (P < 0.05).
Safety practices implemented by businesses to prevent transmission of COVID-19
| Auto shops | Beauty salons |
| |
|---|---|---|---|
| Increase rate of surface cleaning/disinfection | 13 (65) | 22 (88) | 0.138 |
| Use hand sanitizer or require hand washing | 13 (65) | 22 (88) | 0.138 |
| Ask staff to wear face masks in the shop | 8 (40) | 20 (80) | 0.015* |
| Change filters in the ventilation system | 11 (55) | 14 (56) | 1.000 |
| Use contactless payment methods | 8 (40) | 17 (68) | 0.212 |
| Ask clients to wear face masks in the shop | 5 (25) | 18 (72) | 0.005* |
| Limit number of clients in the shop | 6 (30) | 15 (60) | 0.270 |
| Appointments only, no walk-ins allowed | 6 (30) | 13 (52) | 0.402 |
| Make improvements to indoor air ventilation | 6 (30) | 8 (32) | 1.000 |
| Use plastic barriers (like at the check-out desk) | 6 (30) | 7 (28) | 1.000 |
| Limit number of workers in the shop | 1 (5) | 10 (40) | 0.034* |
| Screen workers before coming in to work | 5 (25) | 6 (24) | 1.000 |
| Screen clients before appointments | 3 (15) | 5 (20) | 0.965 |
| Use a carbon dioxide monitor | 2 (10) | 5 (20) | 0.613 |
| Other | 2 (10) | 4 (16) | 1.000 |
| Use a portable air cleaner | 1 (5) | 4 (16) | 0.491 |
| Use UV lights | 2 (10) | 2 (8) | 1.000 |
| None | 2 (10) | 0 (0) | 0.374 |
| Prefer not to answer | 0 (0) | 1 (4) | 1.000 |
aPPE controls.
bAdministrative controls.
cEngineering controls.
dElimination/substitution controls.
eStandards/enforcement.
*Statistically significant difference between auto shops and beauty salons (P < 0.05).
†Temperature check, symptom questionnaire, or other.
Figure 2.Number of participants by shop type that reported using these information sources to receive updates regarding COVID-19.
Selected participant responses from three open-ended questions sorted into social-economic model categories
| SEM category | Auto shop | Beauty salon |
|---|---|---|
| Individual | • I have concerns for life. Workplace is the last of my concerns, but everything else worries me. | • My worry was worse before getting vaccinated, but now I’m not so concerned about it. |
| Interpersonal | • Anti-maskers and customers that spread misinformation to other customers. | • I didn’t know how to tell people to leave without a mask without being confrontational. |
| Organizational | • [I am] concerned for health and finances of the workers and the shops. | |
| Community | • I worry that the anti-vaccine movement will succeed in spreading misinformation and cause a reverse in the recovering economy and in the transmission of the disease. We would not recover from another surge. | • [I worry about the] influence in change of kids going to school. |
| Policy | • [I] want to get back to normal for small businesses, not continue to favor large businesses. | • [We had] money problems. [We] did not get PPP loan. [We] applied and were turned down. |