Research Article |
Corresponding author: Mariya Ivanova ( m.m.ivanova@mu-varna.bg ) Academic editor: Evgeni Grigorov
© 2023 Mariya Ivanova, Anna Todorova, Lora Georgieva.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Ivanova M, Todorova A, Georgieva L (2023) Prevalence and risk factors of burnout among community pharmacists in Northeast region of Bulgaria - a pilot study. Pharmacia 70(4): 921-926. https://doi.org/10.3897/pharmacia.70.e110145
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Background: Burnout is described as an emotional, mental and physical exhaustion observed in healthy people and directly related to their professional context. The objective is to study the level of burnout among community pharmacists and to identify the workplace factors affecting it.
Materials and methods: Using a questionnaire, specifically designed by the authors of the study, an anonymous survey was conducted in the region of Varna, as the largest region of Northeastern Bulgaria. The questionnaire contains questions about the demographic characteristics; a standardised burnout measure tool (MBI-HSS-MP), and questions regarding the specifics of the work environment. According to MBI-HSS-MP, burnout is associated with high levels of emotional exhaustion (EE) and depersonalisation (DP) and low level of personal accomplishment (PA).
Results: The participants in the pilot study were 127 masters of pharmacy. Regarding individual factors, a statistically significant relationship was found between age and the scales emotional exhaustion EE (p = 0.012), depersonalisation DP (0.028) and personal accomplishment PA (p = 0.028). Most susceptible to ЕЕ (p = 0.014) and DP (p = 0.008) were the age group 25–45 years while most satisfied with their PA were in the age group 46–55 years (p = 0.016). From the organisational factors, the large number of patients had the greatest impact on burnout (DP р = 0.000 /ЕЕ р = 0.006). The other key factors for burnout were an insufficient number of pharmacy staff, a heavy administrative burden and a wide range of medicinal products.
Conclusion: It is necessary to develop training courses for young professionals to introduce them gradually into the work process and build up skills for effectively coping with stress. Proposals need to be made for reducing the administrative burden of pharmacists and maintaining staffing levels that are adequate to the patient flow and expanding the capabilities of The Specialised Electronic System for Tracing and Analysis System of Medicinal Products (SETASMP).
burnout, community pharmacist, factors
Burnout is described as an emotional, mental and physical exhaustion observed in healthy people and directly related to their professional context. The symptoms of burnout can occur as a reaction to chronic occupational stress. (
Some authors differentiate between two processes – ‘burnout’ as a result of internal factors related to an idealistic self-image and high expectations, and ‘wear out’– as a result of external factors or the influence of the environment (
Stress factors at work that lead to burnout are heavy workload, lack of autonomy, negative relationships with fellow workers, complicated documentation requirements, patients who are unhappy or even disruptive, and the use of modern technology (
The Maslach Burnout Inventory Human Services Survey (MBI-HSS (MP)) is used as a standard tool for assessing burnout in healthcare professionals (
Overall, the state of burnout is characterised by depletion and exhaustion, accompanied by health problems such as gastritis, sleeplessness, depression, high blood pressure, diabetes (
In order to keep pharmacists healthy, to create a healthy workplace and minimize the chances for mistakes during work, it is necessary to study the specific factors influencing the development of a high level of burnout.
Objective: To study the level of burnout among community pharmacists and to identify the workplace factors affecting it.
The pilot study was conducted among masters of pharmacy in community pharmacies in the region of Varna, as the largest region of Northeastern Bulgaria, from April to December 2021, aiming to be expanded to Northeastern Bulgaria. The study has been carried out in the context of the Covid-19 pandemic. The inclusion criteria were the following: masters of pharmacy with more than a year experience, members of RPC – Varna (Regional Pharmaceutical College–Varna), who work in community pharmacies and have signed an informed consent to participate. An additional inclusion criterion is that the pharmacies where the respondents work have a contract with the NHIF (National Health Insurance Fund), as the survey period coincides with the transition to electronic health care and the introduction of electronic prescriptions for medicinal products paid by the NHIF.
The exclusion criteria: masters of pharmacy who are not members of the Bulgarian Pharmaceutical Union; job experience of less than a year; do not work in a community pharmacy or the pharmacy does not work with the NHIF. The number of respondents who met the criteria was 301. The aim of the survey was to cover a third of the target group. Each respondent personally filled a paper survey, after receiving instructions from members of the research team.
The questionnaire consists of three parts:
The MBI-HSS-MP contains 22 seven-point items distributed across three dimensions: Emotional Exhaustion (nine items), Personal Accomplishment (eight items), and Depersonalisation (five items). Each dimension is scored individually on a Likert scale (0–7) with each question asking to describe the frequency (from “never” to “every day”) with which they experience the statement. The response scales are defined as follows: 0 = never, 1 = a few times a year or less, 2 = once a month or less, 3 = a few times a month, 4 = once a week, 5 = a few times a week, and 6 = every day.
The statistical confirmation of the questionnaire was achieved using the reliability coefficient Cronbach’s alpha. Data demonstrated a good factor structure and a very good level of reliability coefficients (Cronbach’s alpha for subscale Emotional Exhaustion is α = 0.929; for subscale Depersonalisation α = 0.733, and subscale Personal Accomplishment α = 0.791). The reliability coefficient for the entire questionnaire is Cronbach’s alpha: α = 0.808.
Data were exported and analysed using the Statistical Packages for the Social Sciences (SPSS) for Windows, Version SPSS 19.
ANOVA analysis was used to determine the impact of independent variables (gender, age, work experience) on dependent variables (DP, PA, EE) in a regression study. The analyses were performed at a level of statistical significance α = 0.05. The Games-Howell post hoc test was used to compare the age groups within each of the different scales.
The present study was conducted in the context of a spreading pandemic of Covid-19. The Covid-19 pandemic is not an objective of the study, but undoubtedly has implications and should be considered in the analysis of the results obtained. Circumstances necessitated limiting contact and maintaining distance. Initially set ways of gathering information were difficult to implement due to the lack of organized events for pharmacists in the set period. Some of the pharmacists could not spend time due to their busy schedules and did not participate in the study.
The masters of pharmacy who participated in the pilot study were 127. The total number of professionals, members of RPC – Varna (Regional Pharmaceutical College–Varna), who met the inclusion criteria was 301. Thus, the data can be considered statistically significant for the entire region of Varna, the largest region of Northeastern Bulgaria.
Table
Characteristics | EE | DP | PA | |||||
---|---|---|---|---|---|---|---|---|
N | % | M | SD | M | SD | M | SD | |
Gender | ||||||||
Female | 101 | 80% | 25.51 | 12.953 | 12.49 | 6.57 | 31.38 | 7.726 |
Male | 26 | 20% | 29.19 | 13.081 | 13.69 | 5.836 | 30.73 | 6.844 |
p-value | 0.2 | 0.395 | 0.697 | |||||
Age | ||||||||
25–45 years | 73 | 58% | 27.90 | 13.094 | 13.75 | 6.629 | 30.30 | 7.214 |
46–55 years | 26 | 20% | 28.54 | 11 | 13.19 | 6.306 | 34.81 | 6.723 |
Over 55 years | 28 | 22% | 19.89 | 10.624 | 9.86 | 5.247 | 31.25 | 7.868 |
P-value | 0.012 | 0.028 | 0.028 | |||||
Work experience | ||||||||
Less than 5 years | 43 | 34% | 28.59 | 13.565 | 14.64 | 6.32 | 30.30 | 7.523 |
5–15 years | 30 | 24% | 26.20 | 10.604 | 12.70 | 6.38 | 29.17 | 6.481 |
16–25 years | 21 | 16% | 25.29 | 14.588 | 10.81 | 6.638 | 34.57 | 5.409 |
26–35 years | 11 | 9% | 28.82 | 6.145 | 12.36 | 4.632 | 34.18 | 6.047 |
More than 35 years | 21 | 17% | 21.14 | 15.242 | 10.90 | 6.707 | 31.25 | 10.12 |
p-value | 0.269 | 0.111 | 0.065 | |||||
Total | 127 | 100% | 26.27 | 13.012 | 12.73 | 6.426 | 31.25 | 7.531 |
In this pilot study the male respondents were considerably less than the female ones. The number of female pharmacists employed in community pharmacies is still predominant. Regarding the gender factor a difference in the mean values was observed in the EE scale, where the highest values were for men (М = 29.19) compared with М = 25.51 for women. However, no statistically significant difference was found. The values of the DP and PA scales were similar to each other as well as to the overall values of the sample. The surveyed subjects were divided into groups according to their job experience to establish if it influenced the levels of EE, DP and PA. It was established that the mean values of the different groups had big differences but they were not statistically significant. Pharmacists with less than 5 years of experience showed the highest score on the DP scale (М = 14.64), while those with experience between 16–25 years had the lowest score (М = 10.81). The highest levels of ЕЕ were reported by subjects with work experience between 26–35 years (М = 28.82), and the lowest levels by the ones with more than 35 years of experience (М = 21.14). According to the collected data the pharmacists with experience of 16–25 years were the most satisfied by their work (М = 34.57) while the least satisfied were those with experience between 5–15 years (М = 29.17).
A statistically significant difference was found in the different age groups on the emotional exhaustion scale (p = 0.012), on the depersonalisation scale (0.028) and on the personal accomplishment scale (p = 0.028). A statistically significant dependence was found for the whole sample (F = 4.579, p = 0.012) between the level of emotional exhaustion and age. The statistical dependence between the different age groups within the EE scale was also examined. The values on this scale of age groups 25–45 years (М = 27.90) and 46–55 years (М = 28.54) had a statistically significant difference with the value of those 55 and over (М = 19.89). The EE values of age groups 25–45 (М = 27.90) and 46–55 (М = 28.54) were not statistically significant. Based on the conducted study it was established that there was a statistically significant difference in the age groups on the Depersonalisation scale (F = 3.957, p = 0.022). The Games-Howell post hoc test showed that the mean value of the age group 25–45 years (M = 13.75) had a statistically significant difference with the mean value of the over 55 age group (M = 9.86) and no statistically significant difference with the age group 46–55 (M = 13.19). The mean value of the group 46–55 years was not statistically different from that of the over 55 age group. In the Personal Accomplishment scale a relationship with age was also found (F = 3.697; M = 0.028). The analysis showed that the group of studied subjects between 46–55 years (М = 34.81) were more satisfied professionally than the age group of 25–45 (М = 30.30), (significance level p = 0.016). No statistically significant difference was identified for the rest of the groups.
In order to identify the work environment factors which are crucial for burnout we studied the specific difficulties reported by the respondents. The statistical significance of their impact on ЕЕ, DP and PA, the three scales that denote occupational burnout, was also examined. Table
Influence of workplace factors on Emotional Exhaustion, Depersonalisation, Personal Accomplishment.
Scale | N | % | M | SD | F | p |
---|---|---|---|---|---|---|
Difficulties with technology | ||||||
Changes in the pharmacy software | ||||||
DP | 41 | 32 | 13.85 | 6.533 | 1.698 | 0.195 |
EE | 41 | 32 | 27.37 | 10.466 | 0.955 | 0.33 |
PA | 41 | 32 | 30.66 | 8.257 | 0.658 | 0.419 |
The introduction of e-prescriptions | ||||||
DP | 50 | 39 | 13.2 | 7.134 | 0.351 | 0.555 |
EE | 50 | 39 | 25.64 | 10.919 | 0.512 | 0.475 |
PA | 50 | 39 | 32.3 | 7.949 | 1.127 | 0.291 |
The introduction of verification | ||||||
DP | 54 | 43 | 13.07 | 6.506 | 0.196 | 0.659 |
EE | 54 | 43 | 28.65 | 11.008 | 2.998 | 0.086 |
PA | 54 | 43 | 32.22 | 6.914 | 1.063 | 0.305 |
The Specialised Electronic System for Tracing and Analysis System of Medicinal Products (SETASMP) | ||||||
DP | 43 | 34 | 14.07 | 7.072 | 2.65 | 0.106 |
EE | 43 | 34 | 29.7 | 11.39 | 4.518 | 0.036 |
PA | 43 | 34 | 31.91 | 7.715 | 0.264 | 0.609 |
Difficulties in the work process associated with the regulatory framework | ||||||
Dynamic changes in the regulatory framework | ||||||
DP | 58 | 46 | 13.29 | 6.623 | 0.679 | 0.412 |
EE | 58 | 46 | 28.53 | 10.727 | 2.485 | 0.117 |
PA | 58 | 46 | 32.47 | 7.74 | 2.084 | 0.151 |
Unclear regulatory requirements | ||||||
DP | 61 | 48 | 13.7 | 7.279 | 2.457 | 0.12 |
EE | 61 | 48 | 27.41 | 10.917 | 1.437 | 0.233 |
PA | 61 | 48 | 31.62 | 8.079 | 0.076 | 0.783 |
Difficulties associated with the organisation of pharmacy work | ||||||
Heavy administrative burden | ||||||
DP | 63 | 50 | 13.79 | 7.294 | 3.16 | 0.078 |
EE | 63 | 50 | 28.76 | 10.783 | 4.244 | 0.041 |
PA | 63 | 50 | 30.6 | 8.441 | 1.57 | 0.212 |
Wide range of medicinal products | ||||||
DP | 29 | 23 | 15.21 | 6.956 | 5.544 | 0.02 |
EE | 29 | 23 | 29.86 | 10.726 | 10.737 | 0.001 |
PA | 29 | 23 | 31.83 | 8.627 | 0.105 | 0.746 |
Large number of patients served | ||||||
DP | 39 | 31 | 16.51 | 6.621 | 22.138 | 0.000 |
EE | 39 | 31 | 30.56 | 9.808 | 7.891 | 0.006 |
PA | 39 | 31 | 31 | 7.448 | 0.19 | 0.663 |
Pharmacy understaffing | ||||||
DP | 38 | 30 | 15 | 6.742 | 6.756 | 0.01 |
EE | 38 | 30 | 29.95 | 10.596 | 6.198 | 0.14 |
PA | 38 | 30 | 30.16 | 8.323 | 1.609 | 0.207 |
The studied subjects reported the unclear regulatory requirements (48%) and the dynamic changes in the regulatory framework (46%) as main problems in their work but those factors did not demonstrate a statistically significant impact on the burnout level. From difficulties associated with the use of technology in community pharmacies, the introduction of The Specialised Electronic System for Tracing and Analysis System of Medicinal Products (SETASMP) had a statistically significant influence on EE (р = 0.036). Both external and internal organisational factors affect the level of burnout. The biggest share of respondents (50%) indicated the heavy administrative burden as a problem which had an impact on ЕЕ (р = 0.041). The wide range of medicinal products maintained in community pharmacies influenced ЕЕ (р = 0.001) and DP (р = 0.02). The large number of patients served affected ЕЕ (р = 0.006) and DP (р = 0.000), whereas pharmacy understaffing influenced DP (р = 0.01).
From the internal organisational factors the insufficient number of pharmacy staff influenced DP (р = 0.01), while the large number of patients affected both EE (р = 0.000) and DP (р = 0.006).
The development of burnout is due to individual and organisational factors In the present study, gender does not appear to be significantly related to the level of burnout (
According to some studies, in terms of the age dynamics, a significant increase in the level of burnout is observed with advancing age in healthcare professionals. It has been observed in other professional fields as well (Tzenova 2005). From the studied individual factors age has a statistical significance..A close relationship exists between advancing age and the dimensions of emotional exhaustion and depersonalisation (
The following dependences between the impact of organisational factors and the level of burnout have been identified:
The technology difficulties that occur during work have no statistically significant impact on the three scales outlining the level of burnout except for SETASMP. The level of burnout is affected by the introduction of new systems for tracking and control of dispensing medicinal products. The reason might be the fact that the system has been viewed by pharmacists as another burden added to their work overload. For them, at this stage, there is no explicitly clear need for its introduction. In the studied subjects who have marked the verification and SETASMP as work problems, a higher level of EE has been observed than in the other groups. In order to increase the efficiency of SETASMP, it is necessary to expand the opportunities for exchanging information and synchronization of prescribing, dispensing and delivery processes involving physicians, wholesalers and retailers. This will provide an opportunity to improve communication between healthcare professionals, optimization the drug-supply process and will prevent drug shortages.
Electronic prescriptions did not show a statistically significant impact on the level of professional burnout, but in the study period, their introduction into practice was another burden on healthcare workers, related to the lack of precise work instructions and the lack of prior information about the introduced changes. Problems that arise are unclear regulatory requirements and frequent changes in regulations (
The difficulties associated with the organisation of pharmacy work can be divided into external to the organisation: a heavy administrative burden, a wide range of medicinal products and internal: a large number of patients served and pharmacy understaffing. From the organisational factors the heavy administrative burden, the wide range of medicinal products and the insufficient staffing levels, as well as large number of patients served are predisposing to the occurrence of a high level of burnout among pharmacists. The heavy administrative burden influences the emotional exhaustion. It greatly worsens the emotional and physical health of the pharmacy practitioners (
Professional burnout in pharmacists can be reduced through regulatory changes that address administrative burden. The new requirements to be preceded by information campaigns and trainings and extending the timeframe for putting into practice the new regulatory changes. There is a need to improve patient access to treatment by expanding the capabilities of SETASMP and reviewing the legislative restrictions on pharmacists for generic substitution.
In order to improve the working environment and performance of pharmacists in pharmacies, it is necessary to emphasize introductory trainings for young professionals aimed at improving communication skills, and building successful coping strategies for stress management and conflict resolution. Trainings aimed at team managers will help optimise the organisation of the working environment, prevent professional burnout and increase staff motivation.
The study aims to expand and cover the entire Northeast region, to analyze more comprehensively the factors leading to professional burnout and to draw conclusions. Based on these, recommendations will be developed to overcome the identified problems.
The study was supported by a scientific project of the Medical University of Varna: No. 20018 - Current trends and professional stress in pharmaceutical services.