Abstract
Objectives
Willingness to participate in disasters is usually overlooked and not addressed in disaster preparedness training courses to ensure health service coverage. This will lead to issues during the disaster’s response. This study, therefore, aims to assess healthcare workers willingness to participate in biological and natural disasters, and to identify its associated factors.
Design
This is a cross-sectional study using a self-administered questionnaire. The questionnaire was distributed to 1093 healthcare workers. The data were analysed using multiple logistic regression with significance level p<0.05. Ethical clearance and consent of the participants were duly obtained.
Setting
In three public hospitals that provide tertiary-level healthcare in Sana’a City, Yemen.
Participants
There were 692 nurses and doctors (response rate 63.3%) completed the questionnaires.
Results
Almost half of the participants 55.1% were nurses and 44.9% were doctors. The study found that self-efficacy was associated with willingness to participate in disaster response for any type of disasters (OR 1.319, 95% CI 1.197 to 1.453), natural disasters (OR 1.143, 95% CI 1.069 to 1.221) and influenza pandemic (OR 1.114, 95% CI 1.050 to 1.182). The results further show that willingness is associated with healthcare workers being young, male and having higher educational qualifications.
Conclusion
Self-efficacy has been found to be an important factor associated with willingness. Improving self-efficacy through training in disaster preparedness may increase willingness of healthcare workers to participate in a disaster.
Keywords: disaster preparedness, willingness, self-efficacy, healthcare worker, intrapersonal
Strengths and limitations of this study.
This study is the first study that attempts to assess healthcare workers willingness to participate in different types of disasters in Sana’a City, Yemen.
Implementing a cross-sectional design and using a convenience sample has made it difficult to establish causal association.
The study sample represents healthcare workers in Sana’a City in terms of gender and locality.
The face-to-face approach, which included introduction of the study and its objectives, ensured a higher response rate and minimised the risk of selection bias.
Introduction
In various parts of the world, disasters destroy communities and infrastructures, causing huge material and human losses.1 Similarly, hospitals and health centres are also affected by the disasters, which restrict its work of relieving disaster-stricken communities. By 2025, more than half of the world population will live in cities, particularly in urban cities located along seismic fault lines, flood and other natural disaster-prone areas.2 Therefore, healthcare workers (HCWs) should be prepared to manage the influx of patients during possibly life-threatening circumstances. A HCW is defined as ‘the one who delivers care and services to the sick and ailing either directly as doctors and nurses or indirectly as aides, helpers, laboratory technicians or even medical waste handlers’.3
According to the Global Facility for Disaster Reduction and Recovery, Yemen is one of the priority countries in the Middle East and North African region, mainly due to its vulnerability to disasters.4–6 Natural disasters, which include storms, landslides, earthquake and floods, are recurrent in Yemen. Floods due to the monsoonal rainfall are responsible for most of the mortality due to disasters.6 Currently in Yemen, disaster management mainly focuses on responding to postdisasters damage, and there is a lack of disaster preparedness, such as training and mock drills. The insufficient training makes it difficult to maintain preparedness.4 7 8 A competent prepared HCW could better mitigate and respond to the community health needs during crises, which in turn will elevate health outcomes.
During disasters, HCWs are expected to provide healthcare assistance to people suffering from the disasters alongside with caring for their usual patients. Some are also required to care for their dependents. Most of the previous studies reported an anticipated decrease in health workforce during a disaster as not all HCWs are willing to participate in a disaster. Therefore, understanding the factors associated with willingness to participate in a disaster would allow more effective planning for a disaster situation. Systematic reviews have found that willingness was associated with factors like the nature and type of event; competing obligations between personal and professional needs; the work environment and climate including personal safety, and the relationship between knowledge and perceptions of efficacy.9 10
Disaster preparedness activities and routine disasters trainings have been found to improve the knowledge, skills and attitude preparedness of disasters.11 However, the factors that affect the willingness to participate in disasters are beyond just having knowledge on disaster management.9–12
In a recent systematic review, they found only few studies that have been conducted in the Middle East on the willingness to participate in disasters. They recommend that further research should be conducted based on behavioural theories to better understand the Middle East context of willingness to participate in a disaster.13 In another systematic review of 70 studies on HCW willingness to participate in disasters, only 12 studies were from Asia and none of those studies were from the Middle East.11 Therefore, the objective of this study is to determine the associations between sociodemographic, professional and intrapersonal factors associated with the doctors’ and nurses’ willingness to participate in disasters response in Sana’a, Yemen. The study factors are built based on the self-efficacy behavioural theory.
Methods
Study design, population and instrument
This is a cross-sectional study conducted in three public hospitals in the Sana’a Governorate, Yemen; Al-Thora, Al-Jumhouri and Al-Kuwait hospitals, which have more than a total of 4000 nurses and doctors, which is the focus of this study. Out of this, 1093 HCWs were selected through convenient sampling by approaching the HCWs individually. The sample size calculation was determined using the OpenEpi software. It was based on a 95% CI with a power of set to 80%. The sample size of 1093 was determined based on the variable ‘perception of responsibility to participate’ from a prestudy, which is an element of the self-efficacy construct with the highest sample size to achieve an association.14 The determined sample size was 614, which was inflated by 78% based on the lowest response rate of previous studies to reach 1093.15
The questionnaire was developed by the researcher based on information from previous studies and opinions of national and international experts (online supplementary materials).15–18 The questionnaire was pretested for validity and reliability. The questionnaire was distributed to national and international experts together with questions on the validity of the questionnaire with a scale of 1–4 (1 not relevant to 4 highly relevant). It tested the questionnaire’s consistency, relatedness, representativeness and clarity of wording. From the results of the pretest, six items of the questionnaire that was related to the knowledge construct, was deleted and changes on the questions were reworded. The revised questionnaires were then forward and backward translated from English to Arabic and from Arabic to English. Following that, three other HCWs were asked to give their opinion on the questions based on the objective of the study.
bmjopen-2019-030547supp001.pdf (35.5KB, pdf)
The final questionnaire was pilot tested on 20 doctors and nurses from a hospital, other than hospitals that have been chosen for the study. The internal consistency was assessed using Cronbach’s alpha. Self- efficacy was 0.801 and this is considered good intercorrelation. Therefore, the self-efficacy four items were used in the final survey to build the construct as one of the intrapersonal factors (unpublished).
The questionnaire consists of sociodemographic, professional and intrapersonal factors, and willingness to participate in a disaster. The professional, intrapersonal and willingness questions were measured on a five-point Likert scale (1=strongly disagree, 2=disagree, 3=somewhat agree, 4=agree and 5=strongly agree). A binary variable was created based on ‘less or equal two’ as low and’ more than 2’ as high.
Data collection
Informed consent was obtained from the respondents and confidentiality of personal disclosures was re-assured. The self-administered questionnaires were distributed and retrieved between February and March 2018. A final 767 questionnaires were returned for analyses; 75 questionnaires were omitted due to missing values.
Self-efficacy theory
The self-efficacy theory was chosen to build the self-efficacy construct as it illustrates beliefs that drive actions to face and solve problems that are faced to achieve the intended goals. In case of disaster, the theory could be applied to HCWs who are coping with fear and threat and adapting new behaviours because of their beliefs in their competences. This belief is derived from their successful performances, observing colleagues and managers positive behaviours, convincing by a superior person, and calming the physiological and emotional pressure caused by the threat.19
Statistical analysis
The data were analysed using SPSS V.22. Descriptive outputs were generated describing the median, IQR, frequency counts and percentages. χ2 test and multiple logistic regression were performed to test the hypothesis of the study on p<0.05 for all statistical tests. The variables selected to be included in the multivariate analysis were variables with p<0.25 in the univariate analysis, and gender, age and type of profession were also included.
Patient and public involvement
Patients and the general public were not involved in the conduct of this research. HCWs were involved during the pilot study in order to test the understanding of the written questionnaire. In addition, data were assessable by the researchers and are stored in a secure file in the computer and online storage.
Results
Sociodemographics characteristics
Responses were collected from 692 HCWs (response rate 63.3%), where 311 (44.9%) were doctors and 381 (55.1%) were nurses. Most of the female participants were nurses at 64.5%. More doctors (56.6%) had >5 years of experience at their current place of work, as compared with nurses (40.9%). The average age of participants was 31.96 (SD 7.46) years across the two occupations. Out of the 65.9% who had at least one dependent, that is, having to take care of at least one child, elderly person or both, 73.9% reported to have support to care for their dependents in a case of a disaster. The percentages were almost equally distributed between doctors and nurses.
Professional and intrapersonal characteristics
Table 1 describes the sociodemographic, professional, intrapersonal and willingness characteristics of respondents. Only 39.2% of the HCWs had any previous training in dealing with disasters. This was the same for previous work experience, where only 35.8% of the participants had previous work experience in a disaster situation.
Table 1.
Variable | Frequency (n=692) | Percentage (%) |
Age (years) | ||
≤30 | 360 | 52.0 |
31–45 | 294 | 42.5 |
≥46 | 38 | 5.5 |
Gender | ||
Male | 419 | 60.5 |
Female | 273 | 39.5 |
Marital status | ||
Single | 258 | 37.3 |
Married | 420 | 60.7 |
Divorce | 8 | 1.2 |
Widow | 6 | 0.9 |
Education level | ||
Diploma | 280 | 40.5 |
Bachelor | 275 | 39.7 |
Postgraduate education | 137 | 19.8 |
Master | 104 | 15.0 |
Professional | 33 | 4.8 |
Profession type | ||
Doctors | 311 | 44.9 |
Specialist medical practitioner* | 126 | 8.2 |
General medical practitioner* | 185 | 26.7 |
Nurses | 381 | 55.1 |
Work duration (years) | ||
≤5 | 360 | 52 |
6–10 | 213 | 30.8 |
11–15 | 76 | 11.0 |
≥16 | 43 | 6.2 |
Dependent | ||
With dependent | 456 | 65.9 |
Elder | 65 | 9.4 |
Child | 276 | 39.9 |
Both | 115 | 16.6 |
No dependent | 236 | 34.1 |
Support† | ||
No | 119 | 26.1 |
Yes | 337 | 73.9 |
Previous training‡ | ||
With previous training | 271 | 39.2 |
Without previous training | 421 | 60.8 |
Previous experience‡ | ||
With previous experience | 248 | 35.8 |
Without previous training | 444 | 64.2 |
Trust in work safety in case of disaster | ||
High trust in work safety | 563 | 81.4 |
Low trust in work safety | 129 | 18.6 |
Trust in family preparedness in case of a disaster | ||
High trust in family preparedness | 544 | 78.6 |
Low trust in family preparedness | 148 | 21.4 |
Trust in colleague preparedness to react in disaster | ||
High trust in colleague preparedness | 611 | 88.3 |
Low trust in colleague preparedness | 81 | 11.7 |
Trust in hospital preparedness to react in disaster | ||
High trust in hospital preparedness | 522 | 75.4 |
Low trust in hospital preparedness | 170 | 24.6 |
Self-efficacy score (median; IQR) | 16 | 5 |
Willingness to participate in any type of disaster | ||
High | 623 | 90.0 |
Low | 69 | 10.0 |
Willingness to participate in natural disaster | ||
High | 535 | 77.3 |
Low | 157 | 22.7 |
Willingness to participate in influenza and pandemic | ||
High | 457 | 66.0 |
Low | 235 | 34.0 |
*Break down of doctors role.
†Only for participants with dependants. The percentages are only within participants with dependents.
‡Previous experience and training in disasters.
The doctors and nurses reported a high trust in work safety, in family, in colleague’s preparedness to react and in their hospital’s preparedness to react in case of a disaster, with trust in colleague’s preparedness as the highest percentage (88.3%). Similarly, HCW had a high median score (median 16; IQR 5) in self-efficacy construct.
Respondents’ willingness
Ninety per cent of the participants expressed high willingness to participate in any type of disasters. However, they were less willing to participate in natural disasters (77.3%) and influenza pandemic (66.0%) (table 1).
Analysis of self-efficacy’s factors
There were four items in the self-efficacy construct. After the data collection, the intercorrelation value of self-efficacy was tested before running the main analysis. The descriptive statistics and interitem correlation values of the self-efficacy construct are presented in table 2.
Table 2.
Items | Descriptive statistics | Interitem correlation | ||||
Mean | SD | Item 1 | Item 2 | Item 3 | Item 4 | |
Item 1: ability to perform work | 3.36 | 1.074 | 1.000 | 0.592 | 0.267 | 0.259 |
Item 2: familiarity with their role | 3.62 | 1.085 | 0.592 | 1.000 | 0.325 | 0.324 |
Item 3: responsibility to participate | 4.23 | 0.929 | 0.267 | 0.325 | 1.000 | 0.390 |
Item 4: ability report to work | 4.03 | 1.062 | 0.259 | 0.324 | 0.390 | 1.000 |
Based on table 2, there was a moderate level of agreement in all the four items. The highest correlation for each item with at least one other item in the construct was between 0.3 and 0.9. In factor analysis, the Kaiser-Meyer-Olkin (KMO) value was 0.658 (p<0.001), KMO value close to 1, so the variables are suitable for factor analysis. Therefore, a single factor was formed from the four items computed, and it was saved as incentive to be used in further analysis. Accordingly, to calculate the self-efficacy, four questions was asked. The sum outcome of the four answers ranged from 4 to 20 (median 16, IQR 5).
Factors associated with willingness to participate in any type disaster
There was an association between participants’ gender and willingness to participate in any type of disaster, with males being more willing compared with females (crude OR 2.161, 95% CI 1.307 to 3.573) (table 3). Those with high trust in work safety (crude OR 3.284, 95% CI 1.937 to 5.567), trust in colleague’s preparedness (crude OR 2.592, 95% CI 1.401 to 4.795) and self-efficacy (crude OR 1.358; 95% CI 1.247 to 1.479) were also found to be more willing to participate in any type of disaster in the univariate analysis (table 3).
Table 3.
Variable | Willingness to participate in any type of disasters | Willingness to participate in natural disasters | Willingness to participate in influenza pandemic | |||
OR (95% CI) |
P value | OR (95% CI) |
P value | OR (95% CI) |
P value | |
Age | ||||||
≤30 | 1 | 1 | 1 | 1 | 1 | 1 |
31–45 | 1.056 (0.628 to 1.775) | 0.838 | 1.639 (1.126 to 2.387) | 0.010 | 1.138 (0.822 to 1.576) | 0.437 |
≥46 | 0.733 (0.269 to 1.997) | 0.544 | 1.967 (0.798 to 4.850) | 0.142 | 1.354 (0.650 to 2.820) | 0.418 |
Gender | ||||||
Female | 1 | 1 | 1 | 1 | 1 | 1 |
Male | 2.161 (1.307 to 3.573) | 0.003 | 2.254 (1.571 to 3.234) | < 0.001 | 1.505 (1.093 to 2.072) | 0.012 |
Marital status | ||||||
Single | 1 | 1 | 1 | 1 | 1 | 1 |
Married | 0.899 (0.532 to 1.521) | 0.692 | 1.128 (0.781 to 1.629) | 0.521 | 1.090 (0.787 to 1.510) | 0.605 |
Divorce and widow | 0.615 (0.130 to 2.913) | 0.541 | 1.160 (0.314 to 4.291) | 0.824 | 1.362 (0.416 to 4.466) | 0.610 |
Education level | ||||||
Up to diploma | 1 | 1 | 1 | 1 | 1 | 1 |
Up to bachelor | 1.380 (0.775 to 2.458) | 0.274 | 1.962 (1.317 to 2.922) | 0.001 | 1.221 (0.858 to 1.738) | 0.268 |
Up to postgraduate | 0.847 (0.450 to 1.596) | 0.608 | 2.279 (1.351 to 3.842) | 0.002 | 0.998 (0.651 to 1.528) | 0.992 |
Profession type | ||||||
Nurses | 1 | 1 | 1 | 1 | 1 | 1 |
General medical practitioner | 1.473 (0.781 to 2.776) | 0.231 | 1.554 (1.013 to 2.384) | 0.044 | 0.756 (0.524 to 1.091) | 0.135 |
Specialist medical practitioner | 0.965 (0.507 to 1.835) | 0.913 | 2.407 (1.377 to 4.208) | 0.002 | 0.942 (0.614 to 1.446) | 0.785 |
Work duration | ||||||
≤5 | 1 | 1 | 1 | 1 | 1 | 1 |
6–10 | 1.006 (0.563 to 1.798) | 0.983 | 1.079 (0.721 to 1.614) | 0.711 | 0.975 (0.683 to 1.392) | 0.889 |
11–15 | 1.028 (0.438 to 2.415) | 0.949 | 2.337 (1.118 to 4.882) | 0.024 | 1.059 (0.626 to 1.791) | 0.832 |
≥16 | 0.456 (0.196 to 1.063) | 0.069 | 0.650 (0.329 to 1.286) | 0.216 | 1.198 (0.603 to 2.379) | 0.606 |
Presence of dependent | ||||||
No dependent | 1 | 1 | 1 | 1 | 1 | |
Dependent with no support | 0.673 (0.346 to 1.308) | 0.242 | 1.149 (0.683 to 1.933) | 0.601 | 1.617 (1.000 to 2.612) | 0.050 |
Dependent with support | 1.253 (0.707 to 2.222) | 0.439 | 1.305 (0.880 to 1.935) | 0.185 | 1.283 (0.907 to 1.815) | 0.158 |
Previous training* | ||||||
No | 1 | 1 | 1 | 1 | 1 | 1 |
Yes | 1.653 (0.959 to 2.849) | 0.070 | 1.090 (0.756 to 1.573) | 0.644 | 1.147 (0. 829 to 1.585) | 0.408 |
Previous experience* | ||||||
No | 1 | 1 | 1 | 1 | 1 | 1 |
Yes | 1.216 (0.714 to 2.070) | 0.471 | 0.974 (0.673 to 1.411) | 0.889 | 1.857 (1.317 to 2.619) | < 0.001 |
Trust in work safety | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
High | 3.284 (1.937 to 5.567) | < 0.001 | 1.280 (0.825 to 1.987) | 0.271 | 1.192 (0.800 to 1.774) | 0.388 |
Trust in family preparedness | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
High | 1.338 (0.756 to 2.369) | 0.317 | 1.292 (0.850 to 1.963) | 0.231 | 0.990 (.0674 to 1.454) | 0.959 |
Trust in colleague’s preparedness | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
High | 2.592 (1.401 to 4.795) | 0.002 | 1.974 (1.200 to 3.246) | 0.007 | 1.392 (0.866 to 2.237) | 0.172 |
Trust in hospital preparedness | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
High | 1.392 (0.807 to 2.400) | 0.234 | 1.212 (0.810 to 1.814) | 0.351 | 1.158 (0.807 to 1.663) | 0.426 |
Self-efficacy† | 1.358 (1.247 to 1.479) | < 0.001 | 1.184 (1.115 to 1.257) | < 0.001 | 1.135 (1.076 to 1.197) | < 0.001 |
Bold values: p<0.05
*Previous experience and training in disasters.
†Continuous measure, with one unit increase in self-efficacy.
In the final model, having trust in work safety (adjusted OR 2.535, 95% CI 1.357 to 4.736) and self-efficacy (adjusted OR 1.319, 95% CI 1.197 to 1.453) were found to be associated with general willingness with any type of disasters (table 4).
Table 4.
Variable | Willingness to participate in any type of disasters | Willingness to participate in natural disasters | Willingness to participate in influenza pandemic | |||
OR ( 95% CI) | P value | OR ( 95% CI) | P value | OR ( 95% CI) | P value | |
Age | ||||||
≤30 | 1 | 1 | 1 | 1 | 1 | 1 |
31–45 | 1.137 (0.609 to 2.121) | 0.687 | 1.432 (0.928 to 2.209) | 0.105 | 1.008 (0.695 to 1.461) | 0.967 |
≥46 | 0.440 (0.136 to 1.418) | 0.169 | 1.087 (0.409 to 2.886) | 0.867 | 1.062 (0.484 to 2.332) | 0.880 |
Gender | ||||||
Female | 1 | 1 | 1 | 1 | 1 | 1 |
Male | 1.456 (0.807 to 2.628) | 0.212 | 1.639 (1.102 to 2.439) | 0.015 | 1.131 (0.793 to 1.612) | 0.498 |
Education Level | ||||||
Up to diploma | – | – | 1 | 1 | – | – |
Up to bachelor | – | – | 1.706 (0.993 to 2.932) | 0.053 | – | – |
Up to postgraduate | – | – | 1.177 (0.522 to 2.657) | 0.695 | – | – |
Profession type | ||||||
Nurses | 1 | 1 | 1 | 1 | 1 | 1 |
General medical practitioner | 1.285 (0.438 to 3.767) | 0.261 | 1.581 (0.691 to 3.614) | 0.278 | 0.751 (0.468 to 1.205) | 0.235 |
Specialist medical practitioner | 1.392 (0.578 to 3.352) | 0.644 | 0.939 (0.515 to 1.713) | 0.838 | 0.697 (0.473 to 1.026) | 0.067 |
Presence of dependent | ||||||
No dependent | – | – | – | – | 1 | 1 |
Dependent with no support | – | – | – | – | 1.537 (0.910 to 2.598) | 0.108 |
Dependent with support | – | – | – | – | 1.154 (0.791 to 1.685) | 0.457 |
Previous experience* | ||||||
No | – | – | – | – | 1 | 1 |
Yes | – | – | – | – | 1.528 (1.058 to 2.207) | 0.024 |
Trust in work safety | ||||||
Low | 1 | 1 | – | – | – | – |
High | 2.535 (1.357 to 4.736) | 0.004 | – | – | – | – |
Trust in colleague’s preparedness | ||||||
Low | 1 | 1 | 1 | 1 | – | – |
High | 1.199 (0.576 to 2.496) | 0.686 | 1.363 (0.791 to 2.351) | 0.265 | – | – |
Self-efficacy† | 1.319 (1.197 to 1.453) | < 0.001 | 1.143 (1.069 to 1.221) | < 0.001 | 1.114 (1.050 to 1.182) | < 0.001 |
Bold values: p<0.05
*Previous experience and training in disasters.
†Continuous measure, with one unit increase in self-efficacy.
Factors associated with willingness to participate in natural disaster
In the univariate analysis, there was an association between some of the sociodemographic characteristics (age, gender, education level, type of profession and work duration) with willingness to participate in natural disasters. Participants with bachelor and postgraduate degrees had a higher odd of willingness to participate in natural disasters compared with those with a diploma education. Those in the age group of between 31 and 45 years were found to be more willing when compared with participants who were ≤30 years old. The main intrapersonal factors associated with willingness in natural disasters were participants’ trust in colleagues’ preparedness in case of a natural disaster and self-efficacy (table 3).
In multivariate, being male (adjusted OR 1.639, 95% CI 1.102 to 2.439) and self-efficacy (adjusted OR 1.143, 95% CI 1.069 to 1.221) were significantly associated with willingness to participate in natural disasters (table 4).
Factors associated with willingness to participate in influenza pandemic disaster
For willingness to participate in an influenza pandemic, the univariate results revealed that being male, having a dependent with no support (compared with participants without a dependent), having previous experience and self-efficacy were associated with willingness to participate in a pandemic (table 3).
In the final model, having previous experience (adjusted OR 1.528, 95% CI 1.058 to 2.207) and self-efficacy (adjusted OR 1.114, 95% CI 1.050 to 1.182) were found to be associated with willingness to participate in influenza pandemic (table 4).
Discussion
The study’s main question is to test the strength and direction of the association between the independent variables—sociodemographic, professional and intrapersonal variables—with the variables of willingness to participate in three different types of disasters. The results showed that trust in work safety and self-efficacy were associated with disaster participation willingness after in the multivariate analysis. Gender and self-efficacy were found to be significantly associated with willingness to participate in natural disasters. However, previous experience and self-efficacy were statistically significant with willingness of HCW to participate in an influenza pandemic.
It is difficult to obtain a 100% participation of HCW even though it is vital in case of disasters. Previous studies suggested that between 65% and 97% of HCWs were willing to participate in a natural disaster, and between 54% and 86% in an influenza pandemic.11 16 20 21 The reason for this difference in the levels of willingness between the two types of disasters is due to the great distinction in their nature. The outcome of the interaction between HCW and the socioenvironmental determinants of these disasters leads to having different willingness levels. According to Connor, the weighted risk resulting from this interaction plays a major role in HCW willingness.10 In the case of pandemics, the fear of the inability to control biohazards and watching colleagues acquiring a communicable disease after contact with affected persons was a suggested reason for the low willingness levels.10 Another qualitative study in Australia highlighted that in different types of disasters emergency nurses’ willingness to attend to work is shaped by the weighted risk to self and surrounding people and the pressure formed from the period dealing with the disaster.12 Natural disasters may not directly affect HCW or their families like the influenza pandemic which may be a reason for the higher level of willingness to attend to work compared with pandemics.
The findings of this study are consistent with the previous studies regarding their willingness level to different types of disasters. More HCWs were willing to participate in natural disasters (77.3%) as compared with influenza pandemics (66.0%). Nevertheless, even though there was a higher percentage of HCW willingness in this study to participate in both types of disasters compared with other studies, Yemen’s high vulnerability, due its topography and current economic, political and health status, could affect the country’s health status and cause huge adverse health impacts when disasters occur. According to the Vulnerability Matrix, one-third of Yemen’s districts are highly vulnerable.5
Subsequently, due to the armed conflicts in Yemen that started in early 2015, it has become difficult to deal with any disaster that may occur. According to WHO, the healthcare system in Yemen is in a critical situation with about 50% of the health facilities in Yemen being either partially or totally damaged as a result of the natural disasters and conflicts. Furthermore, of the 3507 healthcare facilities in Yemen, almost 300 healthcare facilities have been destroyed.5 22 Therefore, any possible decrease in the health work force during disasters in Yemen must be considered. The existing drained health sector is based on a vulnerable health system in terms of its structure and healthcare staff number and distribution in the country.23 Thus, training and preparing healthcare staff to act during disasters is critical and could help achieve Priority 4 in the United Nations’ Sendai Framework for Disaster Risk Reduction 2015–2030 in enhancing disaster preparedness for effective response and to ‘Build Back Better’ in recovery, rehabilitation and reconstruction of disasters, and further prevent any possible humanitarian catastrophe.24
The results show that willingness to participate in events of natural disasters may be encouraged by many suggested factors. Factors such as respondents being male are accompanied with higher willingness to participate in natural disasters. The findings are similar to previous studies conducted in Jordan, China and the USA.15 16 25 26 However, having less female health workers who are willing to participate in disasters highlight a need to address this group during health preparedness programme. This lack in female HCW willingness could be due to the gender and cultural barriers in Yemen. These barriers need to be addressed to better motivate female workers participation in disasters. This is an important area for research as studies on willingness are moving forward.
As noted in the previous studies, nurses and doctors with previous experience in influenza pandemics are ever willing to participate in influenza pandemics.14 25 HCWs who have experience working with previous disaster have a better knowledge in disaster management, copping strategies and ways to protect themselves and their families, which may be a reason for having higher odds of willingness to participate. According to Alzahrani et al, most of the nurses have a higher level in Mass gatherings management such as communicating effectively during emergencies in Saudi Arabia due to previous experience.27 He also found a need for further trainings by the nurses. Similarly, Chokshi et al found that simulation training, attending conferences and previous experience increase paediatric surgeons’ feeling of preparedness.14
This study found that the trust in work safety during any type of disaster plays a key role in the willingness to participate, which is similar to the results from previous studies.11 25 28 Work safety is important in order for HCW to feel safe and do their work. A study by Stergachis et al found that the majority of the participants reported their fear or concern for self in case of influenza pandemic and during earthquake scenarios as one of the major barriers to willingness to participate.29 In Yemen, work safety in disaster preparedness is concerning after notifications made by Aladhrai et al and Naser et al on the current low work place safety and the needs of increasing safety and security standards in Yemen’s Health establishments.7 8 Whether it is external or internal catastrophe, unsafe work place could lead to increase optional absenteeism during disaster. Thus, disseminating information on work safety and protection devices during several types of disasters is advisable.
Many studies have established the association between self-efficacy and willingness to participate in disasters.10 15 16 Similarly, this study has identified that self-efficacy plays an important role in the willingness to participate in natural disasters, in influenza pandemic and any type of disasters. It indicates that elements tested for self-efficacy like participants increase in familiarity with their role, responsibility to react, and being confident of their ability to deal with various types of disasters could be a key factor to increase HCW self-efficacy. Thus, their willingness to participate will also increase. Disaster preparedness trainings are encouraged to contain materials that explain the responses to the different types of disasters, doctors’ and nurses’ role in disasters and how it makes a difference in responding to disasters. Supportive measures to increase HCW self-efficacy such as immediate communication with much needed information and rewards for efforts in disasters are suggested.
Although the study faced challenges in the collection of data during the political unrest in the country, data were collected from three of the major public hospitals. The quality of data was ensured by researcher explaining the study and its objectives and answering any questions that may arise. This prevented differences in understanding the questions and increased participants’ inclusion in the study. All in all, the study suggested the vital value of increasing self-efficacy and its elements in order to obtain more willingness participants.
Strengths and limitations
This is the first study to explore the patterns and associated factors of the willingness status to participate in disasters among HCWs in Yemen. The response rate was also high as the questionnaire was distributed personally by the researcher. The questionnaire was pilot tested to ensure the validity of the questionnaire.
This study had some limitations. As the study was performed under a political insecurity/fragile state of the country and a list of workers of HCW working at the hospitals was difficult to obtain. As a result, a universal sample was undertaken, which could limit the study of representativeness. This is a cross-sectional study using a self-administered questionnaire, where the actual willingness of the respondents cannot be ascertained. The respondents may answer positively due to social desirability bias. Other than the self-administrated questionnaire limitations, the findings of the study are limited to staff working at the tertiary-level public hospitals in urban areas of Yemen.
Conclusion
Increasing the likelihood of willingness to participate in disasters plays a key role in guarantying the optimum number of work force. This study indicates that one’s sociodemographic, professional and intrapersonal factors play a role in increasing his/her willingness in general and across different types of disasters. Significant differences were revealed between participants’ willingness in natural disasters by gender and self-efficacy, and participant’s willingness in influenza pandemics by previous experience and self-efficacy. This result suggests integrating disaster management to doctors’ and nurses’ in the early stages of their educational curriculums. This could be achieved by adding early exposure of HCWs to relevant disaster experiences, which would further boost their willingness to participate in disaster response.
Other areas for preparedness may include increasing hospitals safety and resilience; hence that willingness to participate in natural disasters’ response was influenced by the demographic characteristic of the healthcare personnel. Additionally, others found outside the bracket should be motivated to participate with a reward package such as incentives and hazard allowance. Further studies should also be conducted in both urban and rural settings with a relatively peaceful atmosphere.
Supplementary Material
Acknowledgments
We thank Dr. Susan Connor, Dr. Karen Hammad and Dr. Mohammed Khalil for their support and advice during the study development, all of the University Malaya academic staff, the team who collected the data, and all the participants who took part in this study.
Footnotes
Contributors: WA-H: conceptualised the study, conducted the data collection, analysis and interpretation of data for the work; draft and approve the manuscript for publication. VH: conceptualised the study, interpretation of data for the work; revise and approve the manuscript for publication. KC: conceptualised the study, supervised the data analysis, interpretation of data for the work.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Patient consent for publication: Not required.
Ethics approval: Ethical approval was obtained from the Ministry of Health and Population of Yemen.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement: This is an anonymous gathered survey; the data are the responses from the participants. The data have been grouped and presented in the manuscript.
References
- 1. United Nations Economic and Social Commission for Asia and the Pacific Disasters in Asia and the Pacific: 2015 year in review. United nations report. Economic and social Commission for Asia and the Pacific, 2015. Available: https://www.unescap.org/resources/disasters-asia-and-pacific-2015-year-review
- 2. Below R, Wirtz A, Guha-Sapir D. Disaster category classification and peril terminology for operational purposes. centre for research on the epidemiology of disasters, 2009. Available: https://www.cred.be/node/564
- 3. Joseph B, Joseph M. The health of the healthcare workers. Indian J Occup Environ Med 2016;20:71–2. 10.4103/0019-5278.197518 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Ministry of Water and Environment Yemen: national progress report on the implementation of the Hyogo framework for action (2013-2015), 2015. Available: http://preventionweb.net/go/40141
- 5. World Health Organization WHO annual report 2017: Yemen. Cairo: WHO Regional Office for the Eastern Mediterranean, 2018. Licence: CC BYNC-SA 3.0 IGO. [Google Scholar]
- 6. Banerjee A, Bhavnani R, Burtonboy CH, et al. . Natural disasters in the middle East and North Africa: a regional overview. The International bank for reconstruction and development. The World Bank, 2014: 101 Report No: 81658. [Google Scholar]
- 7. Aladhrai SA, Djalali A, Della Corte F, et al. . Impact of the 2011 revolution on hospital disaster preparedness in Yemen. Disaster Med Public Health Prep 2015;9:396–402. 10.1017/dmp.2015.30 [DOI] [PubMed] [Google Scholar]
- 8. Naser WN, Ingrassia PL, Aladhrae S, et al. . A study of hospital disaster preparedness in South Yemen. Prehosp Disaster Med 2018;33:133–8. 10.1017/S1049023X18000158 [DOI] [PubMed] [Google Scholar]
- 9. Chaffee M. Willingness of health care personnel to work in a disaster: an integrative review of the literature. Disaster Med Public Health Prep 2009;3:42–56. 10.1097/DMP.0b013e31818e8934 [DOI] [PubMed] [Google Scholar]
- 10. Connor SB. When and why health care personnel respond to a disaster: the state of the science. Prehosp Disaster Med 2014;29:270–4. 10.1017/S1049023X14000387 [DOI] [PubMed] [Google Scholar]
- 11. Gowing JR, Walker KN, Elmer SL, et al. . Disaster preparedness among health professionals and support staff: what is effective? an integrative literature review. Prehosp Disaster Med 2017;32:321–8. 10.1017/S1049023X1700019X [DOI] [PubMed] [Google Scholar]
- 12. Arbon P, Cusack L, Ranse J, et al. . Exploring staff willingness to attend work during a disaster: a study of nurses employed in four Australian emergency departments. Australas Emerg Nurs J 2013;16:103–9. 10.1016/j.aenj.2013.05.004 [DOI] [PubMed] [Google Scholar]
- 13. Ejeta LT, Ardalan A, Paton D. Application of behavioral theories to disaster and emergency health preparedness: a systematic review. PLoS Curr 2015;7. doi: 10.1371/currents.dis.31a8995ced321301466db400f1357829 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Chokshi NK, Behar S, Nager AL, et al. . Disaster management among pediatric surgeons: preparedness, training and involvement. Am J Disaster Med 2008;3:5–14. 10.5055/ajdm.2008.0001 [DOI] [PubMed] [Google Scholar]
- 15. Burke RV, Goodhue CJ, Chokshi NK, et al. . Factors associated with willingness to respond to a disaster: a study of healthcare workers in a tertiary setting. Prehosp Disaster Med 2011;26:244–50. 10.1017/S1049023X11006492 [DOI] [PubMed] [Google Scholar]
- 16. Charney RL, Rebmann T, Flood RG. Hospital employee willingness to work during earthquakes versus pandemics. J Emerg Med 2015;49:665–74. 10.1016/j.jemermed.2015.07.030 [DOI] [PubMed] [Google Scholar]
- 17. Balicer RD, Omer SB, Barnett DJ, et al. . Local public health workers’ perceptions toward responding to an influenza pandemic. BMC Public Health 2006;6:99 10.1186/1471-2458-6-99 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Shapira S, Aharonson-Daniel L, Bar-Dayan Y, et al. . Knowledge, perceptions, attitudes and willingness to report to work in an earthquake: a pilot study comparing Canadian versus Israeli Hospital nursing staff. Int Emerg Nurs 2016;25:7–12. 10.1016/j.ienj.2015.06.007 [DOI] [PubMed] [Google Scholar]
- 19. Bandura A. Self-efficacy: the exercise of control. Macmillan, 1997. [Google Scholar]
- 20. Arbon P, Ranse J, Cusack L, et al. . Australasian emergency nurses’ willingness to attend work in a disaster: a survey. Australas Emerg Nurs J 2013;16:52–7. 10.1016/j.aenj.2013.05.003 [DOI] [PubMed] [Google Scholar]
- 21. Brice JH, Gregg D, Sawyer D, et al. . Survey of hospital employees’ personal preparedness and willingness to work following a disaster. South Med J 2017;110:516–22. 10.14423/SMJ.0000000000000680 [DOI] [PubMed] [Google Scholar]
- 22. United Nations Office for the Coordination of Humanitarian Affairs Humanitarian Bulletin Yemen/ health system on the verge of collapse, 2015. Available: http://reliefweb.int/report/yemen/yemen-humanitarian-bulletin-issue-6-issued-30-november-2015-enar
- 23. Qirbi N, Ismail SA. Health system functionality in a low-income country in the midst of conflict: the case of Yemen. Health Policy Plan 2017;32:911–22. 10.1093/heapol/czx031 [DOI] [PubMed] [Google Scholar]
- 24. United Nations - Headquarters Sendai framework for disaster risk reduction 2015-2030. United nations office for disaster risk reduction, 2015. Available: https://www.unisdr.org/we/inform/publications/43291
- 25. Loke AY, Fung WMO, Liu X. Mainland China nurses’ willingness to report to work in a disaster. Am J Disaster Med 2013;8:273–82. 10.5055/ajdm.2013.0134 [DOI] [PubMed] [Google Scholar]
- 26. Al Khalaileh MA, Bond E, Alasad JA. Jordanian nurses’ perceptions of their preparedness for disaster management. Int Emerg Nurs 2012;20:14–23. 10.1016/j.ienj.2011.01.001 [DOI] [PubMed] [Google Scholar]
- 27. Alzahrani F, Kyratsis Y, Yiannis K. Emergency nurse disaster preparedness during mass gatherings: a cross-sectional survey of emergency nurses’ perceptions in hospitals in Mecca, Saudi Arabia. BMJ Open 2017;7:e013563 10.1136/bmjopen-2016-013563 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Ogedegbe C, Nyirenda T, Delmoro G, et al. . Health care workers and disaster preparedness: barriers to and facilitators of willingness to respond. Int J Emerg Med 2012;5:29 10.1186/1865-1380-5-29 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Stergachis A, Garberson L, Lien O, et al. . Health care workers' ability and willingness to report to work during public health emergencies. Disaster Med Public Health Prep 2011;5:300–8. 10.1001/dmp.2011.77 [DOI] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
bmjopen-2019-030547supp001.pdf (35.5KB, pdf)