| Literature DB >> 34065482 |
Veronika Pacutova1,2, Andrea Madarasova Geckova1,2,3,4, Peter Kizek5, Andrea F de Winter4, Sijmen A Reijneveld4.
Abstract
Pandemic management increases the burden on healthcare workers to provide care and also affects their personal lives, with dentists being at particular risk. Therefore, we aim to describe the quality of life (QoL) and limitations experienced due to pandemic management-related measures (PanMan), as well as to assess the association of PanMan with QoL during the first lockdown after the coronavirus outbreak. We obtained data from 500 dentists (33.2% males, M/SD = 43.8) registered with the Slovak Chamber of Dentists using an online questionnaire. We categorized PanMan as the availability of personal protective equipment (PPE) and the ability to implement anti-pandemic measures, information overload, pandemic-related limitations and QoL in terms of their impact on family life and activities, housekeeping, relationships with relatives, financial situation and mental well-being. PanMan mainly affected financial situation, mental well-being and housekeeping. Factors contributing most towards the worsening of QoL were information overload (odds ratio/95% confidence interval, OR/CI: 5.79/2.64-12.71) and several pandemic-related limitations. These consisted of (OR/CI): a lack of PPE (5.17/2.48-10.77), infection risks in the work environment (3.06/1.57-5.95), obligatory safety measures (3.02/1.47-6.21), lack of staff (2.85/1.30-6.25) and client concerns (3.56/1.70-7.49). Pandemic management has led to a considerable worsening of dentists' QoL.Entities:
Keywords: COVID-19; dentists; healthcare workers; pandemic management; quality of life
Mesh:
Year: 2021 PMID: 34065482 PMCID: PMC8161031 DOI: 10.3390/ijerph18105484
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic characteristics of the respondents (Slovakia 2020; n = 500 dentists).
| Variables | |
|---|---|
|
| |
| Women | 334 (66.8) |
| Men | 166 (33.2) |
|
| |
| Private dental clinics—owners | 389 (77.8) |
| Private dental clinics—employees | 141 (28.2) |
| State dental clinics | 10 (2.0) |
|
| |
| Traditional dentists | 431 (86.2) |
| Specialized dentists | 58 (11.6) |
| Other | 11 (2.2) |
|
| |
| Adults and children | 467 (93.4) |
| Only adults | 24 (4.8) |
| Only children | 9 (1.8) |
Impact on quality of life (QoL) and exposure to effects of the pandemic management (PanMan) (Slovakia 2020; n = 500 dentists).
| Variables | |
|---|---|
|
| |
| Family life and activities | 190 (45.0) |
| Housekeeping | 149 (35.4) |
| Relationships with relatives | 89 (21.1) |
| Financial situation | 362(85.4) |
| Mental well-being | 298 (70.3) |
|
| |
| Availability of PPE and ability to implement anti-pandemic measures 1 | 222 (48.7) |
| Information overload 2 | 93 (19.6) |
| Pandemic-related limitation due to lack of PPE 3 | 200 (54.9) |
| Pandemic-related limitation due to infection risks in the work environment3 | 219 (62.6) |
| Pandemic-related limitation due to obligatory safety measures 3 | 169 (49.6) |
| Pandemic-related limitation due to lack of staff 3 | 131 (38.8) |
| Pandemic-related limitation due to client concerns 3 | 164 (47.1) |
1 Not enough personal protective equipment (PPE) and unable to implement anti-pandemic measures; 2 followed the news several times per day and was highly concerned; 3 limited/significantly limited.
The association of pandemic management with the quality of life of dentists; results of logistic regression analyses adjusted for age and gender leading to odds ratios, OR, and 95% confidence intervals (95%CI).
| Variables | Family Life | Housekeeping | Relationships | Financial | Mental |
|---|---|---|---|---|---|
|
| |||||
| Enough PPE and able to implement | Ref | Ref | Ref | Ref | Ref |
| Not enough PPE or unable to implement | 1.28 (0.74–2.23) ns | 1.13 (0.62–2.06) ns | 1.12 (0.55–2.31) ns |
| 1.06 (0.60–1.87) ns |
| Not enough PPE and unable to implement | 1.46 (0.89–2.40) ns |
| 1.73 (0.92–3.24) ns |
|
|
| Age (in years) | 1.01 (1.00–1.03) ns |
| 1.01 (1.00–1.03) ns |
| 1.01 (1.00–1.03) ns |
| Male (vs. female) | 1.05 (0.70–1.60) ns | 0.81 (0.52–1.26) ns | 0.88 (0.53–1.47) ns | 0.87 (0.49–1.57) ns | 0.67 (0.43–1.04) ns |
|
| |||||
| Did not follow, was not concerned | Ref | Ref | Ref | Ref | Ref |
| Followed the news or highly concerned | 1.36 (0.87–2.13) ns | 1.37 (0.85–2.20) ns | 1.66 (0.97–2.85) ns | 0.96 (0.52–1.75) ns | 1.55 (0.96–2.50) ns |
| Followed the news and highly concerned |
|
| 1.32 (0.70–2.49) ns |
|
|
| Age (in years) | 1.01 (1.00–1.02) ns | 1.01 (1.00–1.02) ns | 1.01 (1.00–1.03) ns |
| 1.00 (0.99–1.02) ns |
| Male (vs. female) | 1.09 (0.72–1.65) ns | 0.84 (0.54–1.31) ns | 0.90 (0.53–1.49) ns | 0.84 (0.47–1.50) ns | 0.71 (0.45–1.11) ns |
|
| |||||
|
| |||||
| Partially limited/ not limited | Ref | Ref | Ref | Ref | Ref |
| Limited/ Significantly limited | 1.27 (0.83–1.94) ns |
| 1.73 (1.02–2.92) ns |
|
|
| Age (in years) | 1.01 (0.99–1.02) ns |
| 1.01 (1.00–1.03) ns |
| 1.02 (1.00–1.03) ns |
| Male (vs. female) | 1.22 (0.78–1.90) ns | 0.90 (0.56–1.44) ns | 1.11 (0.65–1.91) ns | 1.19 (0.59–2.39) ns | 0.76 (0.47–1.24) ns |
|
| |||||
| Partially limited/ not limited | Ref | Ref | Ref | Ref | Ref |
| Limited/ Significantly limited | 1.07 (0.69–1.66) ns | 1.42 (0.89–2.27) ns | 1.33 (0.78–2.28) ns |
|
|
| Age (in years) | 1.01 (0.99–1.02) ns |
| 1.01 (1.00–1.03) ns |
| 1.01 (1.00–1.03) ns |
| Male (vs. female) | 1.23 (0.78–1.94) ns | 0.91 (0.57–1.48) ns | 1.01 (0.58–1.73) ns | 1.07 (0.53–2.17) ns | 0.76 (0.46–1.25) ns |
|
| |||||
| Partially limited/ not limited | Ref | Ref | Ref | Ref | Ref |
| Limited/ Significantly limited | 1.00 (0.65–1.55) ns |
| 1.66 (0.97–2.84) ns |
|
|
| Age (in years) | 1.01 (0.99–1.02) ns | 1.01 (1.00–1.03) ns | 1.01 (0.99–1.03) ns |
| 1.01 (0.99–1.03) ns |
| Male (vs. female) | 1.18 (0.74–1.88) ns | 0.96 (0.58–1.57) ns | 1.12 (0.64–1.98) ns | 1.21 (0.60–2.45) ns | 0.82 (0.49–1.36) ns |
|
| |||||
| Partially limited/ not limited | Ref | Ref | Ref | Ref | Ref |
| Limited/ Significantly limited | 1.14 (0.73–1.78) ns |
|
|
|
|
| Age (in years) | 1.01 (0.99–1.02) ns |
| 1.01 (1.00–1.03) ns |
| 1.01 (1.00–1.03) ns |
| Male (vs. female) | 1.21 (0.76–1.93) ns | 0.91 (0.56–1.49) ns | 1.19 (0.67–2.10) ns | 1.04 (0.51–2.11) ns | 0.72 (0.43–1.20) ns |
|
| |||||
| Partially limited/ not limited | Ref | Ref | Ref | Ref | Ref |
| Limited/ Significantly limited | 0.99 (0.64–1.52) ns | 1.30 (0.83–2.04) ns |
|
|
|
| Age (in years) | 1.01 (0.99–1.02) ns | 1.02 (1.00–1.03) ns | 1.01 (1.00–1.03) ns |
| 1.02 (1.00–1.03) ns |
| Male (vs. female) | 1.19 (0.75–1.87) ns | 0.84 (0.52–1.36) ns | 1.03 (0.59–1.79) ns | 0.97 (0.48–1.97) ns | 0.70 (0.43–1.16) ns |
* p < 0.05; ** p < 0.01; *** p < 0.001; ns – non significant; significant values in bold; Ref — reference value