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CC BY-NC-ND 4.0 · Methods Inf Med 2023; 62(S 01): e63-e72
DOI: 10.1055/a-1978-9727
Original Article

Nurse Managers' Opinions of Information System Support for Performance Management: A Correlational Study

Kaija Saranto 
1   Department of Health and Social Management, University of Eastern Finland, Kuopio, Pohjois-Savo, Finland
,
Samuli Koponen
1   Department of Health and Social Management, University of Eastern Finland, Kuopio, Pohjois-Savo, Finland
,
Tuulikki Vehko 
2   Finnish Institute for Health and Welfare, Helsinki, Uusimaa, Finland
,
Eija Kivekäs 
1   Department of Health and Social Management, University of Eastern Finland, Kuopio, Pohjois-Savo, Finland
› Author Affiliations Funding/Acknowledgments The authors want to express their gratitude to the Finnish Nursing Association, the National Association of Health and Welfare Professionals, and the National Professional Association for the Interests of Experts and Managers for supporting online data collection.
This study was supported by the Ministry of Social Affairs and Health (project 414919001).
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Abstract

Background Current information systems do not effectively support nurse managers' duties, such as reporting, resource management, and assessing clinical performance. Few performance management information systems are available and features in many are scattered.

Objectives The purpose of the study was to determine nurse managers' opinions of information system support for performance management.

Methods An online questionnaire was used to collect data from nurse managers (n = 419). Pearson's correlation coefficients and linear regression were used to examine the relationships between variables, which were nurse managers' ability to manage resources, to report and evaluate productivity, and to assess nursing performance and clinical procedures.

Results More than half of the managers used performance management systems daily. Managers (60%) felt that they can use information systems to follow the use of physical resources, and in general (63%), they felt that it is easy to perform searches with the systems used for following up activity. Nurse managers' ability to manage resources, to report productivity, and to assess nursing care performance were correlated significantly with each other.

Conclusion Currently, managers have to collect data from various systems for management purposes, as system integration does not support performance data collection. The availability of continuous in-service training had a positive effect on information system use.

Keywords

health information technology competencies - health information technology - in-service training - management information systems - nurse manager

Ethical Considerations

Finnish Institute for Health and Welfare provided ethical approval (THL/482/6.02.01/2020) for the study. The use of the membership databases of the nurses' associations was selected as it protected participant anonymity when the researchers were not in contact with the members.




Publication History

Received: 10 May 2022

Accepted: 02 November 2022

Accepted Manuscript online:
15 November 2022

Article published online:
09 January 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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  • References

  • 1 American Nurses Association. Nursing Administration: Scope And Standards of Practice. 3rd ed.. Silver Spring, MD: Nursebooks.org; 2016
    Google Scholar
  • 2 Strudwick G, Nagle L, Kassam I, Pahwa M, Sequeira L. Informatics competencies for nurse leaders: a scoping review. J Nurs Adm 2019; 49 (06) 323-330
    CrossrefPubMedGoogle Scholar
  • 3 Cui Y, Wu Z, Lu Y, Jin W, Dai X, Bai J. Effects of the performance management information system in improving performance: an empirical study in Shanghai Ninth People's Hospital. Springerplus 2016; 5 (01) 1785
    CrossrefPubMedGoogle Scholar
  • 4 Choi M, Yang YL, Lee SM. Effectiveness of nursing management information systems: a systematic review. Healthc Inform Res 2014; 20 (04) 249-257
    CrossrefPubMedGoogle Scholar
  • 5 Priestman W, Sridharan S, Vigne H, Collins R, Seamer L, Sebire NJ. What to expect from electronic patient record system implementation; lessons learned from published evidence. J Innov Health Inform 2018; 25 (02) 92-104
    PubMedGoogle Scholar
  • 6 Rotondo F, Giovanelli L, Fadda N, Ezza A. A methodology to design a performance management system in preventive care. BMC Health Serv Res 2018; 18 (01) 1002
    CrossrefPubMedGoogle Scholar
  • 7 Fathian A, Emami H, Moghaddasi H. et al. Features of nursing management information systems: a systematic review. J Sci Tech Res 2019; 21: 15773-15781
    PubMedGoogle Scholar
  • 8 Robinson J, Gelling L. Nurses+QI=better hospital performance? A critical review of the literature. Nurs Manag (Harrow) 2019; 26 (04) 22-28
    PubMedGoogle Scholar
  • 9 Scoville R, Little K, Rakover J. et al. Sustaining Improvement. IHI White Paper. Cambridge, Massachusetts: Institute for Healthcare Improvement, 2016. Accessed August 22, 2021 at: http://www.ihi.org/resources/Pages/IHIWhitePapers/Sustaining-Improvement.aspx
    Google Scholar
  • 10 Lammintakanen J, Saranto K, Kivinen T. Use of electronic information systems in nursing management. Int J Med Inform 2010; 79 (05) 324-331
    CrossrefPubMedGoogle Scholar
  • 11 Murtola LM, Lundgrén-Laine H, Salanterä S. Information systems in hospitals: a review article from a nursing management perspective. Int J Netw Virtual Organ 2013; 13: 81-100
    CrossrefPubMedGoogle Scholar
  • 12 Peltonen LM, Siirala E, Junttila K. et al. Information needs in day-to-day operations management in hospital units: a cross-sectional national survey. J Nurs Manag 2019; 27 (02) 233-244
    CrossrefPubMedGoogle Scholar
  • 13 Thye J, Esdar M, Liebe JD, Jahn F, Winter A, Hübner U. Professionalism of information management in health care: development and validation of the construct and its measurement. Methods Inf Med 2020; 59 (S 01): e1-e12
    Article in Thieme ConnectPubMedGoogle Scholar
  • 14 Siirala E, Peltonen LM, Lundgrén-Laine H, Salanterä S, Junttila K. Nurse managers' decision-making in daily unit operation in peri-operative settings: a cross-sectional descriptive study. J Nurs Manag 2016; 24 (06) 806-815
    CrossrefPubMedGoogle Scholar
  • 15 Moore EC, Tolley CL, Bates DW, Slight SP. A systematic review of the impact of health information technology on nurses' time. J Am Med Inform Assoc 2020; 27 (05) 798-807
    CrossrefPubMedGoogle Scholar
  • 16 Koivunen M, Saranto K. Nursing professionals' experiences of the facilitators and barriers to the use of telehealth applications: a systematic review of qualitative studies. Scand J Caring Sci 2018; 32 (01) 24-44
    CrossrefPubMedGoogle Scholar
  • 17 Samal L, Dykes PC, Greenberg JO. et al. Care coordination gaps due to lack of interoperability in the United States: a qualitative study and literature review. BMC Health Serv Res 2016; 16: 143
    CrossrefPubMedGoogle Scholar
  • 18 Kuek A, Hakkennes S. Healthcare staff digital literacy levels and their attitudes towards information systems. Health Informatics J 2020; 26 (01) 592-612
    CrossrefPubMedGoogle Scholar
  • 19 Ingebrigtsen T, Georgiou A, Clay-Williams R. et al. The impact of clinical leadership on health information technology adoption: systematic review. Int J Med Inform 2014; 83 (06) 393-405
    CrossrefPubMedGoogle Scholar
  • 20 Gür Ş, Eren T. Application of operational research techniques in operating room scheduling problems: literature overview. J Healthc Eng 2018; 2018: 5341394
    PubMedGoogle Scholar
  • 21 Collins S, Yen PY, Phillips A, Kennedy MK. Nursing informatics competency assessment for the nurse leader: the Delphi study. J Nurs Adm 2017; 47 (04) 212-218
    CrossrefPubMedGoogle Scholar
  • 22 Kinnunen UM, Heponiemi T, Rajalahti E, Ahonen O, Korhonen T, Hyppönen H. Factors related to health informatics competencies for nurses—results of a National Electronic Health Record Survey. Comput Inform Nurs 2019; 37 (08) 420-429
    CrossrefPubMedGoogle Scholar
  • 23 Hübner U, Shaw T, Thye J. et al. Technology informatics guiding education reform—TIGER. Methods Inf Med 2018; 57 (S01): e30-e42
    Article in Thieme ConnectPubMedGoogle Scholar
  • 24 Vehko T, Ruotsalainen S, Hyppönen H. E-health and e-welfare of Finland. Check point 2018. Report for the Finnish National Institute for Health and Welfare. Report 7, 2019. Accessed February 20, 2022 at: http://urn.fi/URN:ISBN:978-952-343-326-7
    PubMedGoogle Scholar
  • 25 Lehtonen MR, Roos M, Kantanen K, Suominen T. International nursing: nurse managers' leadership and management competencies assessed by nursing personnel in a Finnish hospital. Nurs Adm Q 2018; 42 (02) 164-174
    CrossrefPubMedGoogle Scholar
  • 26 Hyppönen H, Kaipio J, Heponiemi T. et al. Developing the national usability-focused health information system scale for physicians: validation study. J Med Internet Res 2019; 21 (05) e12875
    CrossrefPubMedGoogle Scholar
  • 27 Finnish National Institute for Health and Welfare. Health and Social Care Personnel. Accessed March 20, 2022: https://www.julkari.fi/bitstream/handle/10024/135915/Tr01_18.pdf?sequence=7&isAllowed=y
    PubMedGoogle Scholar
  • 28 Ministry of Social Affairs and Health. Information to support well-being and service renewal. eHealth and eSocial Strategy 2020. Accessed March 22, 2022 at: http://urn.fi/URN:ISBN:978-952-00-3575-4
    PubMedGoogle Scholar
  • 29 Sijtsma K. On the use, the misuse, and the very limited usefulness of Cronbach's alpha. Psychometrika 2009; 74 (01) 107-120
    CrossrefPubMedGoogle Scholar
  • 30 Carifio J, Perla J. Ten common misunderstandings, misconceptions, persistent myths and urban legends about Likert scales and Likert response formats and their antidotes. J Soc Sci 2007; 3: 106-116
    PubMedGoogle Scholar
  • 31 Junttila K, Meretoja R, Seppälä A, Tolppanen EM, Ala-Nikkola T, Silvennoinen L. Data warehouse approach to nursing management. J Nurs Manag 2007; 15 (02) 155-161
    CrossrefPubMedGoogle Scholar
  • 32 Liljamo P, Kinnunen UM, Ohtonen P, Saranto K. Quality of nursing intensity data: inter-rater reliability of the patient classification after two decades in clinical use. J Adv Nurs 2017; 73 (09) 2248-2259
    CrossrefPubMedGoogle Scholar
  • 33 World Health Organization (WHO). (2020). State of the world's nursing report—2020: investing in education, jobs, and leadership. Accessed March 22, 2022 at: https://www.who.int/publications/i/item/9789240003279
    PubMed