ArticleElectronic physician2016
Barriers against required nurse estimation models applying in Iran hospitals from health system experts' point of view.
Article in Electronic physician, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 7 citations in OpenAlex.
- Promoting health information system in guiding decisions for improving performance: an intervention study at the Research Institute of Ophthalmology, Giza, Egypt.Frontiers in digital health · 2024Article
- Challenges of human resources management in nursing in Iran: A qualitative content analysis.Nursing open · 2020Article
- The design of an estimation norm to assess nurses required for educational and non-educational hospitals using workload indicators of staffing need in Iran.Human resources for health · 2018Article
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Authors and funding
4 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionOne of the strategies for accessing effective nursing care is to design and implement a nursing estimation model. The purpose of this research was to determine barriers in applying models or norms for estimating the size of a hospital's nursing team.
methodsThis study was conducted from November 2015 to March 2016 among three levels of managers at the Ministry of Health, medical universities, and hospitals in Iran. We carried out a qualitative study using a Colaizzi method. We used semistructured and in-depth interviews by purposive, quota, and snowball sampling of 32 participants (10 informed experts in the area of policymaking in human resources in the Ministry of Health, 10 decision makers in employment and distribution of human resources in treatment and administrative chancellors of Medical Universities, and 12 nursing managers in hospitals). The data were analyzed by Atlas.ti software version 6.0.15.
resultsThe following 14 subthemes emerged from data analysis: Lack of specific steward, weakness in attracting stakeholder contributions, lack of authorities trust to the models, lack of mutual interests between stakeholders, shortage of nurses, financial deficit, non-native models, designing models by people unfamiliar with nursing process, lack of attention to the nature of work in each ward, lack of attention to hospital classification, lack of transparency in defining models, reduced nurses available time, increased indirect activity of nurses, and outdated norms. The main themes were inappropriate planning and policymaking in high levels, resource constraints, and poor design of models and lack of updating the model.
conclusionThe results of present study indicate that many barriers exist in applying models for estimating the size of a hospital's nursing team. Therefore, for designing an appropriate nursing staff estimation model and implementing it, in addition to considering the present barriers, identifying the norm required features may positively impact on norm acceptance and implementation.
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