References

King's Fund. A vision for population health: towards a healthier future. 2018. https://tinyurl.com/wrvcpwn (accessed 26 November 2019)

Leeds Care Record. Leeds Care Record is now a fully integrated digital care record. 2019. https://tinyurl.com/vc3ak46 (accessed 25 November 2019)

Local Government Association. Integrating health and social care: Rotherham case study. 2018. https://tinyurl.com/tka49jr (accessed 25 November 2019)

NHS England. Integrated care systems. 2019a. https://tinyurl.com/y7qxowv9 (accessed 25 November 2019)

NHS England. The NHS Long Term Plan. 2019b. https://tinyurl.com/y4k3mjyw (accessed 25 November 2019)

NHS Improvement. A model for measuring quality care. 2018. https://tinyurl.com/wgf2bjn (accessed 26 November 2019)

Reeves S, Xyrichis A, Zwarenstein M. Teamwork, collaboration, coordination, and networking: why we need to distinguish between different types of interprofessional practice. J Interprof Care. 2018; 32:(1)1-3 https://doi.org/10.1080/13561820.2017.1400150

Social Care Institute for Excellence. Integrated care research and practice: population approach. 2018. https://tinyurl.com/u3alhv6 (accessed 25 November 2019)

Population health management and its relevance to community nurses

02 December 2019
Volume 24 · Issue 12

Abstract

Local services can provide better and more joined-up care for patients when different organisations work collaboratively in an integrated system. Population health management (PHM) provides the shared data about local people's current and future health and wellbeing needs. Joint care planning and support addresses both the psychological and physical needs of an individual recognising the huge overlap between mental and physical wellbeing. Joint posts and joint organisational development are likely to become more commonplace and community nurses will have a vital contribution to planning and delivery of integrated care to improve health and care outcomes for their local populations.

Population health management (PHM) is a data-based approach to identify the current and future health and care risks of the local population. The Social Care Institute for Excellence (2018) describes PHM as a methodology to put together a comprehensive understanding of population health needs by joining up data about:

These four areas combine to provide comprehensive baseline information about the locality in terms of health and other challenges faced by residents. This is then analysed to gain further understanding about current and future needs by segmenting the data broadly along the following lines:

Factors associated with success are high-quality local data and effective information management systems. The statistical analysis used to model future projections must be robust and supported by credible algorithms that incorporate tacit knowledge from service users and professional staff involved in care delivery. When modelling future demand, allowance must be made for levels of uncertainty, and scenario plans should model the possible interactions of various parameters with audit trails of the assumptions made.

Register now to continue reading

Thank you for visiting Community Nursing and reading some of our peer-reviewed resources for district and community nurses. To read more, please register today. You’ll enjoy the following great benefits:

What's included

  • Limited access to clinical or professional articles

  • New content and clinical newsletter updates each month