| Literature DB >> 35090571 |
Mohamad Alameddine1,2, Karen Bou-Karroum3, Mohamad Ali Hijazi4.
Abstract
BACKGROUND: Community pharmacists are among the most accessible healthcare professionals and are likely to experience the full brunt of public health crises. In Lebanon, the COVID-19 pandemic, added to a severe economic meltdown, have significantly disrupted an already suffering profession.Entities:
Keywords: Community pharmacists; Lebanon; Resilience; Retention
Year: 2022 PMID: 35090571 PMCID: PMC8795943 DOI: 10.1186/s40545-022-00406-2
Source DB: PubMed Journal: J Pharm Policy Pract ISSN: 2052-3211
Demographic and professional characteristics of the study population
| Variable | Characteristics | Frequency ( | Valid Percent |
|---|---|---|---|
| Gender | Female | 235 | 60.1 |
| Male | 156 | 39.9 | |
| Age | 20–29 years | 96 | 20.9 |
| 30–45 years | 223 | 48.6 | |
| 46–55 years | 92 | 20.0 | |
| More than 55 years | 48 | 10.5 | |
| Marital status | Ever married | 341 | 74.8 |
| Never married | 115 | 25.2 | |
| Highest education | BSc Pharmacy | 218 | 47.6 |
| Pharm D | 117 | 25.5 | |
| Masters | 104 | 22.7 | |
| PhD | 19 | 4.1 | |
| Years of experience | Less than 5 years | 69 | 15.2 |
| 5–10 years | 104 | 22.9 | |
| More than 10 years | 282 | 62.0 | |
| Governorate | Beirut | 89 | 19.4 |
| Mount Lebanon | 138 | 30.1 | |
| North Lebanon | 91 | 19.8 | |
| South (including Nabatieh) | 87 | 19.0 | |
| Beqaa | 54 | 11.8 | |
| Employment status | Pharmacy owner | 290 | 63.5 |
| Full time | 133 | 29.1 | |
| Part time | 34 | 7.4 | |
| What is the location of the university you graduated from? | Inside Lebanon | 318 | 69.3 |
| Outside Lebanon | 141 | 30.7 |
Analysis of job satisfaction and intention to quit
| Frequency ( | Valid percent | |
|---|---|---|
| Job satisfaction | ||
| Satisfied | 115 | 28.0 |
| Neutral | 81 | 19.7 |
| Dissatisfied | 215 | 52.3 |
| Missing | 48 | |
| Intention to quit over the next 12 months | ||
| Very unlikely | 95 | 23.8 |
| Unlikely | 141 | 35.3 |
| Likely | 105 | 26.3 |
| Very likely | 59 | 14.8 |
| Missing | 59 | |
| If you are intending to quit, would you like to: | ||
| Migrate from Lebanon | 261 | 66.1 |
| Stop working | 53 | 13.4 |
| Work in a non-health organization | 25 | 6.3 |
| Work in the profession of pharmacy at another institution or sector in Lebanon | 56 | 14.2 |
| Missing | 64 | |
Analysis of COVID-19-related factors in the study population
| Frequency ( | Valid percent | |
|---|---|---|
| Perception of risk | ||
| No risk | 12 | 3.1 |
| Low risk | 28 | 7.3 |
| Moderate risk | 227 | 59.3 |
| High risk | 116 | 30.3 |
| Impact on income | ||
| Income decreased | 145 | 37.8 |
| Income increased | 87 | 22.7 |
| No change in income | 152 | 39.6 |
| Impact on workload | ||
| Workload increased | 271 | 70.8 |
| No change in workload | 66 | 17.2 |
| Workload decreased | 46 | 12.0 |
| Impact on safety | ||
| Less safe | 320 | 83.3 |
| No change in safety | 26 | 6.8 |
| Safer | 38 | 9.9 |
Analysis of resilience and burnout levels in the study population
| Analysis of the CD-RISC results | |
|---|---|
| Mean (SD) | 68.0 ± 13.37 |
| Minimum | 18 |
| Maximum | 100 |
Association of sociodemographic and professional characteristics with resilience in the study population as derived from the bivariate analysis
| Variable | Simple logistic regression | Multiple logistic regression | ||
|---|---|---|---|---|
| Gender | ||||
| Male | 0.809 (0.479–1.367) | 0.428 | ||
| Constant | 2.756 | 0.000 | 0.517 (0.251–1.067) | 0.074 |
| Age | ||||
| 20–29 years | 0.305 | 0.993 | ||
| 30–55 years | 1.487 (0.837–2.641) | 0.176 | 1.058 (0.382–2.928) | 0.914 |
| More than 55 | 1.863 (0.705–4.928) | 0.210 | 1.025 (0.219–4.799) | 0.975 |
| Constant | 1.917 | 0.010 | ||
| Marital status | ||||
| Never married | 0.577 (0.342–0.974) | 0.384 (0.162–0.910) | ||
| Constant | 3.085 | 0.000 | ||
| Intention to quit | ||||
| Very unlikely | 0.171 | |||
| Unlikely | 0.402 (0.194–0.833) | 0.384 (0.149–0.987) | ||
| Likely | 0.394 (0.183–0.849) | 0.560 (0.205–1.529) | 0.258 | |
| Very likely | 0.353 (0.151–0.822) | 0.866 (0.254–2.952) | 0.818 | |
| Constant | 5.667 | 0.000 | ||
| Quit where | ||||
| Migrate from Lebanon | 0.134 | 0.056 | ||
| Stop working | 1.153 (0.560–2.375) | 0.700 | 0.848 (0.314–2.288) | 0.744 |
| Work outside health sector | 1.009 (0.372–2.737) | 0.987 | 0.286 (0.064–1.276) | 0.101 |
| Work as pharmacist in other places | 2.954 (1.197–7.290) | 3.934 (1.031–15.006) | ||
| Constant | 2.313 | 0.000 | ||
| Impact of COVID-19 on workload | ||||
| Workload increased | 0.054 | 0.022 | ||
| No change to workload | 2.127 (0.989–4.576) | 1.754 (0.654–4.708) | 0.265 | |
| Workload decreased | 0.665 (0.330–1.338) | 0.253 | 0.275 (0.096–0.783) | |
| Constant | 2.507 | 0.000 | ||
| Impact of COVID-19 on safety | ||||
| Less safe | 0.087 | 0.040 | ||
| No change in safety | 0.607 (0.252–1.459) | 0.264 | 0.267 (0.078–0.909) | |
| Safer | 2.730 (0.927–8.038) | 3.145 (0.586–16.887) | 0.182 | |
| Constant | 2.564 | 0.000 | ||
| Personal burnout level | ||||
| High personal burnout | 0.489 (0.282–0.849) | 0.321 (0.152–0.677) | ||
| Constant | 3.480 | 0.000 | ||
Significant P-values (< 0.05) are bolded