| Literature DB >> 35616873 |
Ayu Pinky Hapsari1, Julia W Ho1, Christopher Meaney2, Lisa Avery3,4, Nadha Hassen5, Arif Jetha3,6, A Morgan Lay7, Michael Rotondi8, Daniyal Zuberi9,10, Andrew Pinto11,12,13,14.
Abstract
OBJECTIVE: During the height of the COVID-19 pandemic, personal support workers (PSWs) were heralded as healthcare 'heroes' as many of them cared for high-risk, vulnerable older populations, and worked in long-term care, which experienced a high number of COVID-19 outbreaks and deaths. While essential to the healthcare workforce, there is little understanding of PSW working conditions during the pandemic. The aim of our study was to examine the working conditions (including job security, work policies, and personal experiences) for PSWs in the Greater Toronto Area during the COVID-19 pandemic from the perspectives of PSWs.Entities:
Keywords: Employment; Healthcare aide; Home care; Long-term care; Personal support worker; Work conditions
Year: 2022 PMID: 35616873 PMCID: PMC9134716 DOI: 10.17269/s41997-022-00643-7
Source DB: PubMed Journal: Can J Public Health ISSN: 0008-4263
Characteristics of PSW participants
| Female | 528 | 83.3 | 90.1 (85.1–95.1) | 28 | 90.3 |
| Male | 57 | 9.0 | 9.6 (4.6–14.5) | 3 | 9.7 |
| Other | 3 | 0.5 | 0.3 (0.0–0.8) | 0 | 0 |
|
| 46 | 7.3 | - | 0 | 0 |
| - | |||||
| No | 576 | 90.9 | 97.4 (94.9–99.9) | ||
| Yes | 11 | 1.7 | 2.6 (0.1–5.1) | ||
|
| 47 | 7.4 | - | ||
| - | |||||
| Canadian citizen | 10 | 32.3 | |||
| Permanent resident/landed immigrant | 9 | 29.0 | |||
| Temporary visa with work authorization | 3 | 9.7 | |||
| Convention refugee | 8 | 25.8 | |||
| Protected person | 1 | 3.2 | |||
| Black | 425 | 67.0 | 76.5 (68.2–84.9) | 19 | 61.3 |
| East Asian | 32 | 5.0 | 3.7 (1.4–5.9) | 0 | 0 |
| South Asian | 19 | 3.0 | 1.9 (0.1–3.0) | 0 | 0 |
| Southeast Asian | 70 | 11.0 | 10.5 (5.6–15.4) | 9 | 29.0 |
| White | 16 | 2.5 | 3.7 (0.0–9.0) | 2 | 6.5 |
| Mixed or other racial categories | 26 | 4.1 | 3.7 (0.0–9.3) | 1 | 3.2 |
|
| 46 | 7.3 | - | 0 | 0 |
| - | |||||
| 18–29 | 52 | 8.2 | 10.4 (4.7–16.1) | ||
| 30–39 | 174 | 27.4 | 32.1 (23.8–40.3) | ||
| 40–49 | 247 | 39.0 | 38.3 (30.6–46.1) | ||
| 50+ and up | 115 | 18.1 | 19.2 (10.6–27.7) | ||
|
| 46 | 7.3 | - | ||
| - | |||||
| Not a student | 512 | 80.8 | 78.9 (72.4–85.5) | ||
| Student | 113 | 17.8 | 21.1 (14.5–27.6) | ||
|
| 9 | 1.4 | - | ||
| - | |||||
| Above low-income cut-off | 259 | 40.9 | 44.9 (36.1–53.7) | ||
| Below low-income cut-off | 328 | 51.7 | 55.1 (46.3–63.9) | ||
|
| 47 | 7.4 | - | ||
| Some grade school | 7 | 1.1 | 1.6 (0.0–7.2) | 0 | 0 |
| Some high school | 6 | 0.9 | 1.0 (0.0–2.7) | 0 | 0 |
| High school degree | 45 | 7.1 | 8.7 (4.4–13.1) | 0 | 0 |
| Some college/universityb | 241 | 38.0 | 41.2 (32.3–50.0) | 10 | 32.3 |
| College degree, university degree, or post-graduate degree | 288 | 45.4 | 47.4 (39.0–55.9) | 21 | 67.7 |
|
| 47 | 7.4 | - | 0 | 0 |
| Home care in the community | 258 | 40.7 | 49.3 (40.9-57.7) | 16 | 51.6 |
| Long-term care | 211 | 33.3 | 34.3 (27.1-41.5) | 10 | 32.3 |
| Other (e.g., hospitals, shelters, group homes, rehabilitation centres) | 126 | 19.9 | 16.4 (9.2-23.6) | 5 | 16.1 |
|
| 39 | 6.2 | - | ||
| Do not know | 74 | 35.1 | 35.2 (24.3–46.0) | 9 | 29.0 |
| Municipality/government | 23 | 10.9 | 13.1 (4.4–21.8) | 2 | 6.5 |
| Private for-profit | 78 | 37.0 | 37.8 (26.8–48.7) | 9 | 29.0 |
| Private not-for-profit | 36 | 17.1 | 14.0 (6.7–21.2) | 10 | 32.3 |
| Private, individual clientd | 1 | 3.2 | |||
| A union member | 310 | 48.9 | 46.2 (38.1–54.3) | 21 | 32.3 |
| Not a union member | 314 | 49.5 | 53.8 (45.7–61.9) | 10 | 67.7 |
|
| 10 | 1.6 | - | 0 | 0 |
aThe RDS-II adjusted percentage distribution for each variable excluded the missing data. Any negative values in the lower limit of the 95% confidence interval (CI) were curtailed at 0.0
bFor interview participants, this category was replaced with “Attended trade or technical school (including CEGEP)”
cFor survey participants, this question was only asked to those who worked in long-term care facilities (N = 211), whereas in the interview, this question was asked to all participants (N = 31)
dThis option was not presented in the survey
Summary of themes and relevant quotes
| 1 | Mental health impacts | |
| 2 | Anxiety about contracting COVID-19 | |
| 3 | Contracting COVID-19 | |
| 1 | Reduced hours | |
| 2 | Lost employment | |
| 1 | Personal protective equipment impacts | |
| 2 | Lack of paid sick days offered by employers | Well, because I was casual so I don't get any paid sick day for that and a temporary full-time, same thing. So now that I'm a full-time, like I said, they said I have to be, I have to complete my three months’ probation but for my other colleagues I am sure they have, I think 12 days sick, sick days or so. (Black female working at a long-term care facility) Participant [P]: “… my HR told me okay, we already did everything; all the papers. Because I thought we're using our benefits… So I asked them. I said how am I going to get paid for 14 days plus? They said oh, we already, we already applied you for the WSIB so I was assuming that WSIB will do their job, their role but no, I have to call them to find out where is my cheque?” Interviewer [I]: “How much did they pay?” P: “No, because they pay 85%.” (Southeast Asian female working at a supportive housing) |
| 3 | Delayed or inadequate temporary wage increase | I: “-do you think that amount (temporary wage increase) is sufficient? P: “Not really.” I: “No?” P: “Honestly, because before we can still work at other places, right. We can do part-time, we can do babysitting, we can do, we can do part-time to other home but now, none. Right, so it's just like the $250.00 is a help which we are so very thankful but compared to what we are earning when we do our part-time it's not like that. If we get $250.00 from the government, we can get $500.00 from other, you know from other job.” (Southeast Asian female working at a long-term care facility) |
| 4 | Lost childcare | |
| 5 | Increased workload and extra tasks | |
| 6 | Challenges with management | P: “Some of them (management staff) are missing in action those days. We can see them they often go upstairs to you know to check us so it's just like during outbreak it's the, only the nurses that we see, only our- I: “The direct supervisor?” P: “-nurses, yeah, direct supervisor is there for us. Some of the DOCs (Director of Care), EDOC (Executive Director of Care), some of them are, we cannot find them. I don't know where are they so it's really hard to reach out for them those days.” (Southeast Asian female working at a long-term care facility) |
| 7 | Benefits of the pandemic policies | |
| 1 | Reliance on family and friends for both emotional and logistical supports | |
| 2 | Drawing strength from faith and spirituality | |
| 3 | Reflection on passion for the profession | |
Impacts of COVID-19 pandemic experienced by survey participants
| Extremely worried | 417 | 65.8 | 66.6 (57.7–75.5) |
| Not at all worried – moderately worried | 176 | 27.8 | 33.4 (24.5–42.3) |
|
| 41 | 6.5 | - |
| Extremely worried | 457 | 72.1 | 74.8 (66.8–82.8) |
| Not at all worried – moderately worried | 136 | 21.5 | 25.2 (17.2–33.2) |
|
| 41 | 6.5 | - |
| Tested for COVID-19 | 431 | 68.0 | 70.4 (60.8–80.0) |
| Did not get tested for COVID-19 | 162 | 25.6 | 29.6 (20.0–39.2) |
|
| 41 | 6.5 | - |
| Negative | 403 | 93.5 | 93.7 (90.0–97.5) |
| Positive | 19 | 4.4 | 4.7 (1.2–8.2) |
| Result pending | 7 | 1.6 | 1.6 (0.3–2.9) |
|
| 2 | 0.5 | - |
| Yes | 382 | 60.3 | 63.2 (55.3–71.2) |
| No | 252 | 39.7 | 36.8 (28.8–44.7) |
| Fired | 10 | 1.6 | 0.9 (0.0–1.8) |
| Laid off | 26 | 4.1 | 6.1 (0.0–12.3) |
| Hours reduced significantly (i.e., more than 25%) | 133 | 21.0 | 22.9 (15.6–30.1) |
| Hours become uncertain | 150 | 23.7 | 25.7 (18.2–33.1) |
| Pay was delayed | 10 | 1.6 | 2.1 (0.0–4.6) |
| Took a leave of absence | 89 | 14.0 | 14.9 (10.1–19.7) |
| Other | 52 | 8.2 | 8.1 (4.8–11.3) |
| Much more concerns | 317 | 53.6 | 54.6 (46.1–63.0) |
| Much less concerned – slightly more concerned | 274 | 46.4 | 45.4 (37.0–53.9) |
|
| 43 | 6.78 | - |
| Much more difficult | 242 | 41.4 | 40.7 (32.1–49.3) |
| Much more easy – slightly more difficult | 343 | 58.6 | 59.3 (50.7–67.9) |
aThe percentage distribution for each variable excluded the missing data and any negative values in the lower limit of the 95% confidence interval (CI) were curtailed at 0.0
bParticipants were able to select all options. As a result, each specific impact was treated as a variable with dichotomized responses (e.g., was fired or not; experienced payment delay or not) and the sum of positive responses across the different impacts exceeded the total number of participants (N = 634)
cThis question was only applicable to individuals with child dependants (N = 585)
PPE and trainings received by survey participants during the COVID-19 pandemic
| Gloves | |||
| Sometimes/often/always | 560 | 88.3 | 97.5 (94.9–100) |
| Rarely/never | 15 | 2.4 | 2.5 (0.1–5.1) |
| 59 | 9.3 | - | |
| Masks | |||
| Sometimes/often/always | 546 | 86.1 | 96 (93.5–99.2) |
| Rarely/never | 21 | 3.3 | 3.7 (0.8–6.5) |
| 67 | 10.6 | - | |
| Gowns | |||
| Sometimes/often/always | 505 | 79.7 | 87.2 (78.6–95.7) |
| Rarely/never | 59 | 9.3 | 12.8 (4.3–21.4) |
| 70 | 11.0 | - | |
| Face shields | |||
| Sometimes/often/always | 480 | 75.7 | 84.8 (77.3–92.4) |
| Rarely/never | 82 | 12.9 | 15.2 (7.6–22.7) |
| 72 | 11.4 | - | |
| Hand sanitizers | |||
| Sometimes/often/always | 554 | 87.4 | 97.2 (95.3–99.1) |
| Rarely/never | 21 | 3.3 | 2.8 (0.9–4.7) |
| 59 | 9.3 | - | |
| Running water and soap | |||
| Sometimes/often/always | 566 | 89.3 | 97.6 (95.3–99.9) |
| Rarely/never | 12 | 1.9 | 2.4 (0.1–4.7) |
| 56 | 8.8 | - | |
| Gloves | |||
| Received training | 518 | 81.7 | 86.9 (78.9–94.8) |
| Did not receive training | 71 | 11.2 | 13.1 (5.2–21.1) |
| 45 | 7.1 | - | |
| | |||
| Helpful | 479 | 92.5 | 89.9 (80.9–99.0) |
| Not helpful | 38 | 7.3 | 10.1 (1.0–19.1) |
| 1 | 0.2 | - | |
| Masks | |||
| Received training | 517 | 81.6 | 87.4 (79.5–95.3) |
| Did not receive training | 71 | 11.2 | 12.6 (4.7–20.5) |
| 46 | 7.3 | - | |
| Helpful | 475 | 91.9 | 89.0 (80.3–97.6) |
| Not helpful | 41 | 7.9 | 11.0 (2.4–19.7) |
| 1 | 0.2 | - | |
| Gowns | |||
| Received training | 498 | 78.6 | 84.4 (76.2–92.5) |
| Did not receive training | 84 | 13.3 | 15.6 (7.5–23.8) |
| 52 | 8.2 | - | |
| Helpful | 456 | 91.6 | 89.2 (80.0–98.4) |
| Not helpful | 42 | 8.4 | 10.8 (1.6–20.00) |
| 0 | 0 | - | |
| Face shields | |||
| Received training | 487 | 76.8 | 81.4 (72.8–90.1) |
| Did not receive training | 97 | 15.3 | 18.6 (9.9–27.2) |
| | 50 | 7.9 | - |
| Helpful | 446 | 91.6 | 90.2 (83.5–96.9) |
| Not helpful | 40 | 8.2 | 9.8 (3.1–16.5) |
| | 1 | 0.2 | - |
| Received training | 445 | 70.2 | 73.1 (63.6–82.6) |
| Did not receive training | 150 | 23.7 | 26.9 (17.4–36.4) |
| 39 | 6.2 | - | |
| | |||
| Helpful | 392 | 88.1 | 87.4 (81.2–93.6) |
| Not helpful | 53 | 11.9 | 12.6 (6.4–18.8) |
|
| 0 | 0 | - |
| Received training | 443 | 69.9 | 74.6 (66.4–82.9) |
| Did not receive training | 150 | 23.7 | 25.4 (17.1–33.6) |
| | 41 | 6.5 | - |
| Helpful | 394 | 88.9 | 87.3 (77.3–97.3) |
| Not helpful | 48 | 10.8 | 12.7 (2.7–22.7) |
|
| 1 | 0.2 | - |
aThe RDS-II adjusted percentage distribution for each variable excluded the missing data. Any negative values in the lower limit of the 95% confidence interval (CI) were curtailed at 0.0