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Exploring the impact of staff absenteeism on patient satisfaction using routine databases in a university hospital

Authors

  • E. Duclay MPharm,

    Junior Researcher
    1. Public Health Department, PHU11, Nantes University Hospital, Nantes, France
    2. EA 4275: Biostatistics, Pharmaco-epidemiology and Subjective Measures in Health Sciences, University of Nantes, Faculty of Pharmaceutical Sciences, Nantes, France
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  • J.B. Hardouin PhD,

    Biostatistician
    1. EA 4275: Biostatistics, Pharmaco-epidemiology and Subjective Measures in Health Sciences, University of Nantes, Faculty of Pharmaceutical Sciences, Nantes, France
    2. Clinical Research and Biometry Department, Nantes University Hospital, Nantes, France
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  • V. Sébille PhD,

    Biostatistician and Director of Research
    1. EA 4275: Biostatistics, Pharmaco-epidemiology and Subjective Measures in Health Sciences, University of Nantes, Faculty of Pharmaceutical Sciences, Nantes, France
    2. Clinical Research and Biometry Department, Nantes University Hospital, Nantes, France
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  • E. Anthoine MMathStat,

    Biostatistician
    1. Public Health Department, PHU11, Nantes University Hospital, Nantes, France
    2. EA 4275: Biostatistics, Pharmaco-epidemiology and Subjective Measures in Health Sciences, University of Nantes, Faculty of Pharmaceutical Sciences, Nantes, France
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  • L. Moret MD, PhD

    Chief of Public Health Department, Corresponding author
    1. Public Health Department, PHU11, Nantes University Hospital, Nantes, France
    2. EA 4275: Biostatistics, Pharmaco-epidemiology and Subjective Measures in Health Sciences, University of Nantes, Faculty of Pharmaceutical Sciences, Nantes, France
    • Correspondence

      Dr Leïla Moret

      Public Health Department – PHU11

      University Hospital of Nantes

      Saint-Jacques Hospital

      85, rue Saint-Jacques, 44093 Nantes Cedex 1

      France

      E-mail: leila.moret@chu-nantes.fr

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Abstract

Aim

To explore the influence of staff absenteeism on patient satisfaction using the indicators available in management reports.

Background

Among factors explaining patient satisfaction, human resource indicators have been studied widely in terms of burnout or job satisfaction, but there have not been many studies related to absenteeism indicators.

Method

A multilevel analysis was conducted using two routinely compiled databases from 2010 in the clinical departments of a university hospital (France). The staff database monitored absenteeism for short-term medical reasons (5 days or less), non-medical reasons and absences starting at the weekend. The patient satisfaction database was established at the time of discharge.

Results

Patient satisfaction related to relationships with staff was significantly and negatively correlated with nurse absenteeism for non-medical reasons (< 0.05) and with nurse absenteeism starting at weekends (< 0.05). Patient satisfaction related to the hospital environment was significantly and negatively correlated with nurse assistant absenteeism for short-term medical reasons (< 0.05).

Conclusion

Our findings seem to indicate that patient satisfaction is linked to staff absenteeism and should lead to a better understanding of the impact of human resources on patient satisfaction.

Implications for nursing management

To enhance patient satisfaction, managers need to find a way to reduce staff absenteeism, in order to avoid burnout and to improve the atmosphere in the workplace.

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