Exploring nursing managers’ perceptions of nursing workforce management during the outbreak of COVID-19: a content analysis study

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Abstract

Background

The COVID-19 pandemic is a serious threat to public health worldwide. Therefore, a coordinated global response is needed to prepare health care systems to face this unprecedented challenge. Proper human resource management can increase nurses’ productivity and quality of care. Therefore, the present study aims to explore the nursing managers’ perception of nursing workforce management during the outbreak of COVID-19.

Methods

This is a qualitative study with conventional content analysis using Granheim and Landman approach. In this study, 15 nursing managers were selected by purposeful sampling method. Data were collected using in-depth semi-structured interviews. Ethical considerations were applied to all stages of the study. In this study, MAXQDA software version 10 was used to help manage the data.

Results

66% of the participants (10/5) were female. The mean age of participants was 44 years, mean work experience of 19 years, and mean management experience of 9 years. Three categories and seven sub-categories emerged from the data analysis: 1) management of workforce recruitment (volunteer workforces, non-volunteer workforces), 2) management of workforce arrangement (flexible work schedule, rearrangement of the workforce), and 3) management of workforce retention (preventive measures, motivational measures, and psychological support).

Conclusion

Management in critical situations requires the use of flexible and situational management principles to recruit, arrange and retain workforce, and also to compensate for the lack of manpower.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-021-00546-x.

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A new coronavirus associated with human respiratory disease in China

Fan Wu, Su Zhao, Bin Yu … (2020)

Emerging infectious diseases, such as severe acute respiratory syndrome (SARS) and Zika virus disease, present a major threat to public health 1–3 . Despite intense research efforts, how, when and where new diseases appear are still a source of considerable uncertainty. A severe respiratory disease was recently reported in Wuhan, Hubei province, China. As of 25 January 2020, at least 1,975 cases had been reported since the first patient was hospitalized on 12 December 2019. Epidemiological investigations have suggested that the outbreak was associated with a seafood market in Wuhan. Here we study a single patient who was a worker at the market and who was admitted to the Central Hospital of Wuhan on 26 December 2019 while experiencing a severe respiratory syndrome that included fever, dizziness and a cough. Metagenomic RNA sequencing 4 of a sample of bronchoalveolar lavage fluid from the patient identified a new RNA virus strain from the family Coronaviridae, which is designated here ‘WH-Human 1’ coronavirus (and has also been referred to as ‘2019-nCoV’). Phylogenetic analysis of the complete viral genome (29,903 nucleotides) revealed that the virus was most closely related (89.1% nucleotide similarity) to a group of SARS-like coronaviruses (genus Betacoronavirus, subgenus Sarbecovirus) that had previously been found in bats in China 5 . This outbreak highlights the ongoing ability of viral spill-over from animals to cause severe disease in humans.

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Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness.

U.H. Graneheim, B Lundman (2004)

Qualitative content analysis as described in published literature shows conflicting opinions and unsolved issues regarding meaning and use of concepts, procedures and interpretation. This paper provides an overview of important concepts (manifest and latent content, unit of analysis, meaning unit, condensation, abstraction, content area, code, category and theme) related to qualitative content analysis; illustrates the use of concepts related to the research procedure; and proposes measures to achieve trustworthiness (credibility, dependability and transferability) throughout the steps of the research procedure. Interpretation in qualitative content analysis is discussed in light of Watzlawick et al.'s [Pragmatics of Human Communication. A Study of Interactional Patterns, Pathologies and Paradoxes. W.W. Norton & Company, New York, London] theory of communication.

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COVID-19 and Italy: what next?

Andrea Remuzzi, Giuseppe Remuzzi (2020)

Summary The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has already taken on pandemic proportions, affecting over 100 countries in a matter of weeks. A global response to prepare health systems worldwide is imperative. Although containment measures in China have reduced new cases by more than 90%, this reduction is not the case elsewhere, and Italy has been particularly affected. There is now grave concern regarding the Italian national health system's capacity to effectively respond to the needs of patients who are infected and require intensive care for SARS-CoV-2 pneumonia. The percentage of patients in intensive care reported daily in Italy between March 1 and March 11, 2020, has consistently been between 9% and 11% of patients who are actively infected. The number of patients infected since Feb 21 in Italy closely follows an exponential trend. If this trend continues for 1 more week, there will be 30 000 infected patients. Intensive care units will then be at maximum capacity; up to 4000 hospital beds will be needed by mid-April, 2020. Our analysis might help political leaders and health authorities to allocate enough resources, including personnel, beds, and intensive care facilities, to manage the situation in the next few days and weeks. If the Italian outbreak follows a similar trend as in Hubei province, China, the number of newly infected patients could start to decrease within 3–4 days, departing from the exponential trend. However, this cannot currently be predicted because of differences between social distancing measures and the capacity to quickly build dedicated facilities in China.

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Author and article information

Contributors

Akram Ghobadi:

ORCID: http://orcid.org/0000-0002-7673-7362

ghobadi_a57@yahoo.com

Journal

Journal ID (nlm-ta): BMC Nurs

Journal ID (iso-abbrev): BMC Nurs

Title: BMC Nursing

Publisher: BioMed Central (London )

ISSN (Electronic): 1472-6955

Publication date (Electronic): 29 January 2021

Publication date PMC-release: 29 January 2021

Publication date Collection: 2021

Volume: 20

Electronic Location Identifier: 27

Affiliations

[1 ]GRID grid.411705.6, ISNI 0000 0001 0166 0922, PhD of Nursing Education, , Tehran University of Medical Sciences, School of Nursing and Midwifery, Community Health Nursing Department, ; Tehran, Iran

[2 ]GRID grid.411705.6, ISNI 0000 0001 0166 0922, School of Nursing and Midwifery, , Tehran University of Medical Science, ; Tehran, Iran

[3 ]GRID grid.412112.5, ISNI 0000 0001 2012 5829, PhD student in Nursing, , School of Nursing and Midwifery, Tehran University of Medical Science; Lecturer, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, ; Kermanshah, Iran

Author information

Akram Ghobadi http://orcid.org/0000-0002-7673-7362

Article

Publisher ID: 546

DOI: 10.1186/s12912-021-00546-x

PMC ID: 7844784

PubMed ID: 33514351

SO-VID: 9356b42c-e3aa-4270-b616-a9954baecb39

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 29 September 2020

Date accepted : 24 January 2021

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ScienceOpen disciplines: Nursing

Keywords: nursing,management,covid-19,qualitative research,workforce recruitment

Data availability:

ScienceOpen disciplines: Nursing

Keywords: nursing, management, covid-19, qualitative research, workforce recruitment

Exploring nursing managers’ perceptions of nursing workforce management during the outbreak of COVID-19: a content analysis study

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Abstract

Background

Methods

Results

Conclusion

Supplementary Information

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Novel Coronavirus Disease COVID-19

Most cited references 38

A new coronavirus associated with human respiratory disease in China

Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness.

COVID-19 and Italy: what next?

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