| Literature DB >> 34903077 |
Negin Karimi Dehkordi1, Amir Farhang Abbasi1, Mostafa Radmard Lord1, Samira Soleimanpour2, Salime Goharinezhad3,4.
Abstract
The critical role of the health workforce in the function of the health care system is undeniable. In times of disaster and public health emergency, the importance of this valuable resource for the organization multiplies. This scoping review was conducted to identify, analyze, and categorize interventions to improve willingness to work in times of disaster as well as the existing knowledge gaps in the topic. For this purpose, four databases were searched. These included Scopus, PubMed, WOS, and World Health Organization observatory, and they were searched for papers published from July 2000 to September 2020. Studies of the English language that described strategies to improve human resources for health willingness to work during times of disaster/public health emergency were included. Full-text papers were screened by authors and data extraction was done according to self-designed form. Framework analysis identified key interventions based on human resources for health action framework. From 6246 search results, 52 articles were included, a great portion of which was published in 2020 probably due to the COVID-19 pandemic. Northern America was the region with most studies. From 52 included studies, 21 papers have reported the interventions to improve willingness to work and 31 papers have explored factors that affected a willingness to work. The interventions used in the studies were categorized into five themes as Leadership, Partnership, Financing, Education, and Organizational policies. The most and least interventions were financial and partnership respectively. The review identified a wide range of feasible strategies and interventions to improve human resources for health's willingness to work at times of disaster that are expected to be effective. Organizations should let the staff know these decisions and as a necessary step in every organizational intervention remember to evaluate the impacts.Entities:
Keywords: Disaster; Health workforce; Scoping; Willingness to work; interventions
Mesh:
Year: 2021 PMID: 34903077 PMCID: PMC8679035 DOI: 10.1177/00469580211059959
Source DB: PubMed Journal: Inquiry ISSN: 0046-9580 Impact factor: 1.730
Figure 1.The Arksey and O’Malley steps for scoping review.
Specific search queries, PubMed databases.
| Database | Search String |
|---|---|
| Pubmed | 1. (((“HCW” [Title/Abstract] OR “Health Care Workforce” [Title/Abstract] OR “Workforce” [Title/Abstract] OR “Staff” [Title/Abstract] OR “health workforce” [MeSH terms] OR “health care worker*”“ [Title/Abstract] OR “health manpower”“ [Title/Abstract] OR “manpower”“ [Title/Abstract] OR “hospital staff”“ [Title/Abstract] OR “employee*“ [Title/Abstract] OR “health personnel*“ [Title/Abstract] OR “physician*“ [Title/Abstract] OR “Doctor*“ [Title/Abstract] OR “Nurse*“ [Title/Abstract]) |
| 2. AND (“Willingness” [Title/Abstract] OR “Retention” [Title/Abstract] OR “Turnover” [Title/Abstract] OR “Retain*“ [Title/Abstract] OR “Resilience” [Title/Abstract] OR “Maintance” [Title/Abstract] OR “Maintaining” [Title/Abstract] OR “ability to care” [Title/Abstract] OR “ability to work” [Title/Abstract])) | |
| 3. AND (“Disaster*“ [Title/Abstract] OR “Crisis” [Title/Abstract] OR “Emergency” [Title/Abstract] OR “Pandemic*“ [Title/Abstract] OR “epidemic*“ [Title/Abstract] OR “Preparedness” [Title/Abstract] OR “complex disaster “[title/Abstract] OR “COVID” [Title/Abstract] OR “Ebola” [Title/Abstract] OR”Zika” [Title/Abstract] OR “SARS” [Title/Abstract] OR “MERS” [Title/Abstract] OR “Cholera” [Title/Abstract] OR “Plague” [Title/Abstract] OR “Influenza” [Title/Abstract]) ( | |
| 4. NOT (“Drug*“ [Title/Abstract] OR “Treat*“ [Title/Abstract] OR “Patient*“ [Title/Abstract] OR “Animal” [Title/Abstract] OR “Ventilation” [Title/Abstract] OR “Transmission” [Title/Abstract] OR “Symptoms” [Title/Abstract] OR “vaccination “[title/Abstract]) | |
| 5. (#1 AND #2 AND #3) NOT #4 |
Figure 2.Human resources for health action framework.
Figure 3.PRISMA flow diagram.
Figure 4.The time trend of studies’ publication on willingness to work under disaster condition.
Characteristics of included studies considering interventions to increase health care workers’ willingness to work in.
| Author, year, country | Title | Study design | Participants | Intervention |
|---|---|---|---|---|
| Yonge, Canada, 2010 | Willingness of university nursing students to volunteer during a pandemic | Cross-sectional | Nursing students | Education, particular on infection control measures, has been very useful in decreasing fears associated with influenza outbreaks and the resulting absenteeism. Incorporating emergency response teaching into the nursing curriculum could be a proactive method of preparing student nurses for a more active role in the event of a pandemic. PPE should be prepared |
| Imai, Japan, 2015 | Perception in relation to a potential influenza pandemic among health care workers in Japan: Implications for preparedness | Cross-sectional | HCW | Prepandemic planning is essential to maintain the continuum of care. On-line training module, one-day exercise on pandemic influenza and disaster training exercises are educational interventions affecting HR willingness |
| Shannon, USA, 2019 | Improving student engagement in community disaster preparedness | Longitudinal study | Nursing students | Interventions suggested by this study are as follows: Curricular integration, deliver disaster response, education using a variety of methods (seminar, games, social media [SM), simulations, tabletop exercises, and online gaming) |
| Sadati, Iran, 2020 | Nursing experiences of COVID-19 outbreak in Iran: A qualitative study | Qualitative study | Nurses | Interventions suggested by this study are as follows: Recognizing and reinforcing religious values and introducing them, to educational and ethical systems are recommended to provide reducing social stigma, family protection and PPE |
| Veitch, UK, 2020 | Nurses need support during Covid-19 pandemic | Letter | Nurses | Interventions suggested by this study are as follows: Online staff forum called “wobble rooms.” These are regular, brief, small-group processes using videoconferencing, to which staff self-refer. They are open to all staff, clinical, and nonclinical. Wobble rooms also have a physical embodiment termed “staff chill-out rooms.” These are safe places, off base/ward but easily available 24 hr a day, offering comfort, distraction (music/reading materials), foodstuffs, relaxation, and episodes of facilitated reflection, exercise and peer support |
| Chuan, Taiwan, 2020 | Maintaining mental health among medical staff during the COVID-19 pandemic: Taiwan’s experience | Experience report | HCW | Interventions suggested by this study are as follows: To establish a team to support the mental health of medical staff, training courses on proper use of personal protective equipment (PPE), holding lectures to provide the medical staff up-to-date knowledge and information about COVID-19, clear messages, rationale, and guidance for evolving standards of practice should be relayed, to inform medical staff if there are any confirmed COVID-19 cases currently being treated at the hospital, establishing an online reporting platform and screening algorithm for staff to self-report their physical and mental statuses, making an effort to recognize high-risk staff members. If necessary, relaxation technique training can be provided to help staff members manage stress and improve sleep quality. Establishing a hotline that allows medical staff rapid access to psychosocial assessment, counseling services, and psychiatric evaluation or treatment, supporting staff quarantined at home remotely to alleviate loneliness, keeping in touch with the team, providing upto date information on the situation at the hospital, ensuring a sufficient stockpile of PPE. The executive hospital administrators should personally visit the frontline staff to attend to their needs and show gratitude with a reward, as a way to honor their hard work |
| Hendel, Israel, 2000 | Strategies used by hospital nurses to cope with a national crisis | Cross-sectional | Nurses | Emergency network, increasing working shifts to 12 hours, childcare in campus and having an obvious treatment protocol are suggested in this article |
| Nadler, Canada, 2020 | Strategies to support health care providers during the COVID-19 pandemic | Letter | HCW | Interventions suggested by this study are as follows: Group making mental toolkit connectedness e-interventions |
| Albott, USA, 2020 | Battle buddies: Rapid deployment of a psychological resilience intervention for health care workers during the coronavirus disease 2019 pandemic | Letter | HCW | Interventions suggested by this study are as follows: Organizational: Battle buddy system; unit level support; individual support- individual strategies: Sleep communication,… |
| Klomp, Africa, 2019 | CDC’s multiple approaches to safeguard the health, safety, and resilience of Ebola responder | Special report | CDC responders | Interventions suggested by this study are as follows: Predeployment training, preassessment training, post outreach |
| Liang, China, 2020 | Mental health in frontline medical workers during the 2019 novel coronavirus disease epidemic in China: A comparison with the general population | Cross-sectional | HCW | Interventions suggested by this study are divided to leadership, evidence-based, organizational structure, training |
| E Huang, USA, 2020 | Primary care mock codes during a pandemic: Interprofessional team-based emergency education while maintaining social distance | Trial | Primary care offices | Online training |
| L Huang, China, 2020 | Factors associated with resilience among medical staff in radiology departments during the outbreak of 2019 novel coronavirus disease (COVID-19 | Cross-sectional | Radiology staff | Interventions suggested by this study are as follows: Picking people with good psychological quality and strong decision-making to share their psychological experience, involving medical staff-daily life training, reducing sensitivity perception of stress, collecting valuable positive information and providing timely notification to staff |
| Mills, Australia, 2020 | Resilience: What COVID-19 is reminding us about self-care and staff support | Report | Nurses | Interventions suggested by this study are as follows: Provide and use equipment, individual self-care plans, staff support initiatives, and innovative models of compassionate. Using collaborative care |
| Halcomb, Australia, 2020 | The support needs of australian primary health care nurses during the COVID-19 pandemic | Online cross-sectional | Nurses | Interventions suggested by this study are as follows: To clear protocols about the appropriate use of personal protective equipment, to provide equipment and its consistency, to provide protocols to govern clinical care, making information up-to-date regularly, to access to education for both health professionals and community, funding, improving self-care culture and valuing nurses (voiceless/autonomy) |
| Lai, China, 2020 | Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019 | Cross-sectional | HCW | Interventions suggested by this study are as follows: Providing leisure activities such as yoga, meditation, and exercise, and motivational sessions, providing a place to rest and sleep, providing adequate breaks and time offs, providing online platforms for medical assistance, establishing shift systems in hospitals, availability of helpline and psychological counseling |
| Owens, India, 2020 | Supporting nurses’ mental health during the pandemic | Report | Nurses | Interventions suggested by this study are as follows: To provide education (frontline staff, mental hygiene, end of life care), to designate non nursing staff to facilitate communication between family and patients, to provide accessible mental services to all, to offer financial counseling or support for assistance, to implement mechanisms to assess the mental wellness of staff in real time, to increase communication and to establish a hotline staff |
| Garrett, USA, 2009 | Mitigating absenteeism in hospital workers during a pandemic | Cross-sectional | Hospital employees | Interventions suggested by this study are as follows: Providing employee alone or employee and immediate family members with necessary PPE and antiviral therapy (prophylaxis and treatment), which was the most effective; supporting employee by providing care for dependents both child and adult (least effective probably due to lack of confidence in provider’s ability to provide the same quality of care) and also for pets; providing employee with transportation service to avoid contact with public |
| Billings, UK, 2020 | Supporting hospital staff during COVID-19: Early interventions | Letter | Hospital staff | Use of early psychological interventions as support of coping process, foster resilience, reduce burnout, and reduce the risk of developing mental health difficulties. Providing staff with basic physical needs as safety (appropriate access to personal protective equipment), food and hydration, rest, and sleep. Support staff to take breaks and attend to self-care. Role modeling by senior staff provide high-quality communication and accurate information updates to all staff implement flexible schedules for workers and rotate workers from higher-stress to lower-stress functions provide training not only on the clinical skills required to deal with COVID-19, but also on the potentially psychological effects of work respond to staff feedback, valuing staffs work and providing needed support for more vulnerable |
| Greenber g, West Africa, 2015 | Potential mental health consequences for workers in the ebola regions of west africa - a lesson for all challenging environments | Report | HCW | Interventions suggested by this study are as follows: Providing preventive care of medical staff at risk of psychological damage, detecting the most vulnerable staff and treating staff facing psychological problems |
| Adams, USA, 2018 | Facilitating partnerships with community- and faith-based organizations for disaster preparedness and response: Results of a national survey of public health departments | Cross-sectional | Community health workers | This study focused on interventions based on partnership between CFBO and hospitals for disaster preparedness, it suggests resource sharing with and communication and outreach to community faith-based organizations. It also suggests that positive relationship between a health care organization and community’s faith-based organizations positively affects the s interorganizational trust |
Figure 5.Countries included in the study.
Characteristics of factors affect willingness to work (N = 31).
| Theme | Subtheme | Interventional Suggestion Theme | |
|---|---|---|---|
| Demographic | Age | To consider related demographic factors in recruitments during disaster | |
| Gender | |||
| Personal sense of | Religion | ||
| Patriotism | |||
| Duty/role | |||
| Basic health status | |||
| Working environment | Workload | Financial and policy | |
| Employees' self-condition | Fear of contagion | Self | Partnership, leadership, education and financial |
| Family | |||
| Knowledge | General | ||
| Specific to pandemic | |||
| Social skills | |||
| Self-efficacy | |||
| Profession | |||
| Working years | |||
| Support needs | Sense of value | ||
| Communication | |||
| Organizational | Safety climate | Policy, leadership and financial | |
| Data validity | |||
| Policies | |||
| Financial support | |||
| Confidence on employees | |||
Characteristics of included studies considering factors associated with health care workers’ willingness.
| Author, year, country | Title | Study design | Participants | Factors |
|---|---|---|---|---|
| Von Gottberg, Germany, 2016 | The analysis of factors affecting municipal employees' willingness to report to work during an influenza pandemic by means of the extended parallel process model (EPPM) (BMC public health) | Cross-sectional | HCW | Perceived danger of pandemic, perceived personal risk, role importance, role competence, self-efficacy, and sense of duty |
| Ogedegbe, USA, 2012 | Health care workers and disaster preparedness: Barriers to and facilitators of willingness to respond | Cross-sectional | Hospital workers | Caring for their children, caring for elderly, alternative or second job, gender and clinical/non clinical staff the most common barriers included: Caring for children, and caring for pets. (Specially for clinical staff) older age was a significant facilitator of WTR. Hospital’s ability to protect safety and provide PPE |
| Kaiser, USA, 2009 | Perspectives of future physicians on disaster medicine and public health preparedness: Challenges of building a capable and sustainable auxiliary medical workforce | Cross-sectional | Medical students | Education and training in disaster medicine and public health preparedness, equipping medical students with knowledge, skills, direction, and linkages with volunteer organizations |
| Yonge, Canada, 2020 | Willingness of university nursing students to volunteer during a pandemic | Cross-sectional | Nursing students | Education, incorporating emergency response teaching, PPE |
| Tippett, Australia, 2009 | Anticipated behaviors of emergency prehospital medical care providers during an influenza pandemic | Cross-sectional | HCW | Education and training, colleagues exposed or potentially exposed to influenza), confidence in their employer, concern for safety of family members, perceived risk of infection, peer behavior, sense of duty, child or eldercare obligations |
| Shapira, Israel, 1991 | Willingness of staff to report to their hospital duties following an unconventional missile attack: A state-wide survey | Cross-sectional | HCW | Age of youngest child, number of children residing in household, profession |
| Qureshi, USA, 2005 | Health care workers’ ability and willingness to report to duty during catastrophic disasters | Cross-sectional | HCW | Personal Obligations (childcare)-Availability for additional Shifts (reported yes)-Personal safety |
| Al-Hunaishi, Yemen, 2019 | Factors associated with health care workers willingness to participate in disasters: a cross-sectional study in Sana’a, Yemen | Cross-sectional study | Nurses and doctors | Self-efficacy, being young, male and having higher educational qualifications |
| Ben Natan, Israel, 2015 | Willingness of future nursing workforce to report for duty during an avian influenza pandemic | Cross-sectional | Future nurses | Perceived self-efficacy, financial incentives, protection, transportation |
| Kang, China, 2020 | Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study | Cross-sectional | Doctors and nurses | Access to psychological materials (such as books on mental health), access to psychological resources available through media (such as online push messages on mental health self-help coping methods), and participation in counseling or psychotherapy |
| Drevin, Sierra Leone, 2019 | For this one, let me take the “ risk”: Why surgical staff continued to perform caesarean sections during the 2014–2016 Ebola epidemic in Sierra Leone | Qualitative study | Surgical staff | Clinical adaptability and overcoming the moral dilemmas |
| Gan, China, 2020 | Willingness of Chinese nurses to practice in hubei combating the coronavirus disease 2019 epidemic: A cross-sectional study | Cross-sectional study | Nurses | Younger, unmarried, members of the Communist Party of China, with senior professional qualification, working in critical care departments, with support from their families, with adequate training and learning, with good health status and low levels of anxiety |
| Gao, Australia, 2017 | Challenge-related stress and felt challenge: Predictors of turnover and psychological health in aged.care nurses | E-cohort study | Aged care nurse | Stress |
| Gee, West Africa, 2017 | The role of risk perception in willingness to respond to the 2014-2016 west african ebola outbreak: a Qualitative study of international health care workers | Qualitative study | HCW | Risk perception |
| Ben Natan, Israel, 2014 | Nurse willingness to report for work in the event of an earthquake in Israel | Cross-sectional | Nurses | Perceived self-efficacy, level of knowledge, experience and the support of a multidisciplinary staff |
| Thormar, Indonasia, 2016 | PTSD symptom trajectories in disaster volunteers: The role of self-efficacy, social acknowledgement, and tasks carried out | Cross-sectional | Red cross forces | Having sought prior mental help, reported lower levels of self-efficacy and social acknowledgment, and were more likely to have provided psychosocial support to beneficiaries |
| Burke, USA, 2011 | Factors associated with willingness to respond to a disaster: A study of health care workers in a tertiary setting | Cross-sectional | Hospital workers | Demographics, employment, disaster-related training, personal preparedness, and necessary resources |
| Charney, USA, 2015 | Hospital employee willingness to work during earthquakes vs pandemics | Cross-sectional study | Hospital workers | Pandemic willingness to work were as follows: No children ≤3 years of age, older children, working full-time, less concern for family, less fear of job loss, vaccine availability. Earthquake willingness factors included: Not having children with special needs and not working a different role. Improving care for dependent family members, worker protection, cross training, and job importance education |
| Connor, USA, 2014 | Factors associated with the intention of health care personnel to respond to a disaster | Cross-sectional | HCW | Normative and control factors (normative and control factors can be bolstered through education by focusing on team building and knowledge related to accessing supplies and support needed to respond when a disaster occurs) |
| Draper, UK, 2008 | Heather health care workers' attitudes towards working during pandemic influenza | Multi method study (qualitative and questionnaire survey phase) | HCW | Socio-demographic factors (e.g., age, gender, country of birth), category of HCW (occupational group, tenure, or length of service with, line manager or nonline manager, full time or part time, shift worker or nonshift worker), knowledge of pandemic influenza, home circumstances (e.g., care to children/parents), distance from home to work, perceived risks and benefits of continuing to work, likelihood of continuing to work in different circumstances, agreement/disagreement with statements of various ethical principles |
| Errett, USA, 2015 | Attitudinal determinants of local public health workers’ participation in hurricane sandy recovery activities | Cross-sectional | Hospital workers | Training, safety, family preparedness, policies and planning, and efficacy |
| Goodhue, USA, 2011 | Willingness to respond in a disaster: A pediatric nurse practitioner national survey | Cross-sectional | Pediatric nurse practitioners | Demographics, personal preparedness plans, disaster training, prior disaster experience, and likelihood of responding in the event of a disaster |
| Tebruegge, Austeralia, 2009 | Perception, attitudes and knowledge regarding the 2009 swine-origin influenza a (H1N1) virus pandemic among health care workers in Australia | Cross-sectional | HCW | Access to antiviral treatment, access to antiviral prophylaxis, preparedness to work in pandemic situation, overestimating the mortality risk |
| Y.F Guo, China, 2017 | Exploring resilience in Chinese nurses: a cross‐sectional study | Cross-sectional | Nurses | High level of self-efficacy and education, as well as having a positive coping style and choosing a healthy lifestyle |
| Errett, USA, 2013 | Assessment of medical reserve corps volunteers' emergency response willingness using a threat- and efficacy-based model | Cross‐sectional | Medical reserve corps volunteers | Self-efficacy |
| Garrett, USA, 2009 | Mitigating absenteeism in hospital workers during a pandemic. Disaster medicine and public health preparedness | Cross‐sectional | Hospital workers | Safety concerns, dependent care, transportation, mitigation strategies (included preferential access to antiviral medication or personal protective equipment for the employee as well as their immediate family) |
| Gershon, USA, 2010 | Factors associated with the ability and willingness of essential workers to report to duty during a pandemic | Cross‐sectional | Hospital workers | Organizational (safety climate trust-planning), Individual (demographic/pandemic variable-vaccine-protection-risk) |
| Kagan, Israel, 2017 | Patriotism, organizational commitment and nurses’ intention to report for work in emergencies | Cross‐sectional | Nurses | Patriotism commitment |
| Imai, Japan, 2009 | Factors associated with motivation and hesitation to work among health professionals during a public crisis | Cross‐sectional | HCW | Protection, ethical, high workload, not be ignored, increase knowledge, burden the increase in workload, conflict |
| Liang, China, 2020 | Beyond disaster preparedness: Building a resilience-oriented workforce for the future | Cross‐sectional | HCW | Organizational changes, training, leadership |
| L.Huang, China, 2020 | Factors associated with resilience among medical staff in radiology departments during the outbreak of 2019 novel coronavirus disease (COVID-19) | Cross-sectional | Radiology staff | Lack of knowledge-less confidences and fear of high contagious -family concerns knowledge/availability of protective measures, perceived stress Halcomb |
| Halcomb, Australia, 2020 | The support needs of australian primary health care nurses during the COVID-19 pandemic | Online cross-sectional | Nurses | Support need: protection, communication, funding, psychological support, valuing nurses (voiceless/autonomy), workplace condition, self-care |
| Yumiko Aoyagi, UK, 2009 | Health care workers’ willingness to work during an influenza pandemic: a systematic review and metaanalysis | Systematic review | HCW | Sex (female/Male), clinical/nonclinical, location (urban/Rural), employment (full/Part), childcare, personal safety, protective measures, risk perception, training, general knowledge, role importance, role knowledge, confidence in skills, preexperience, confidence in employer, communication skills, family preparedness, job type (Doctor/Nurse/Other) |
Figure 6.Gaps in knowledge.