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Empowering and Building the Capabilities of Mid-Level Health Service Managers to Lead and Support the Health Workforce-A Study Protocol.

Zhanming LiangJemma C KingCate NagleTilley PainAndrew John Mallett
Published in: International journal of environmental research and public health (2024)
(1) Background: Mid-level managers in healthcare are central to improving safety and quality of care. Their ability in demonstrating leadership and management competency in their roles and supporting frontline managers and frontline staff has a direct effect on staff retention and turn-over. Yet, investment in their professional development and support for mid-level managers is often neither adequate nor effective, and high rates of staff turnover are evident. This study, set in northern Queensland, Australia, takes a strength-based approach to explore the role and strengths of mid-level managers and organisations' existing mechanisms in supporting managers. With broad involvement and contribution from managers at different management level and frontline staff, the project will identify strategies to address the challenges mid-level managers face while building on their capabilities. (2) Methods: Using co-design principles, a situation analysis approach will guide a mixed-methods, multiphase design. Qualitative data will be collected using transcripts of focus groups and quantitative data will be collected by surveys that include validated scales. (3) Results: Thematic analysis of the transcripts will be guided by the framework of Braun and Clarke. Quantitative data will employ descriptive and inferential analysis, including chi-squared, t -tests, and univariate analyses of variance. (4) Conclusions: This study will generate evidence to guide two partner organisations, and other similar organisations, to develop strategies to improve support for mid-level managers and build their capabilities to support and lead frontline managers and staff. Competent mid-level managers are critical to high-quality patient care and improve the outcomes of the population they serve.
Keyphrases
  • healthcare
  • study protocol
  • public health
  • mental health
  • cross sectional
  • big data
  • quality improvement
  • systematic review
  • palliative care
  • machine learning
  • hepatitis c virus
  • human health
  • affordable care act