Developing an evidence-based specialist nursing role to improve the physical health care of people with mental illness

The substantial physical health disadvantage experienced by people diagnosed with mental illness is now identified in a growing body of research evidence. The recent promulgation of improved physical health care as a goal of contemporary Australian Mental Health Policy should provide impetus for initiatives and strategies to address this inequity. To date increased knowledge of the problem has not resulted in obvious and sustained changes. The aim of this article is to introduce the role of the Physical Health Nurse Consultant as a potential strategy. The potential contribution and value of this role is considered by reviewing the evidence from the perspective of multiple stakeholders and considering the suitability of nursing to meet the complex needs involved in improving physical health. The requirement for a multi-faceted and comprehensive evaluation is also articulated. A robust, prospective and long-term evaluation plan includes physical health measures, changes in health behaviours, cost-benefit analysis and consumer acceptability to ensure the intervention is effective in the long term. This thorough approach is essential to provide the level of evidence required to facilitate changes at the practice and policy levels. The specialist nursing role presented in this article, subject to the comprehensive evaluation proposed, could become an integral component of a comprehensive approach to addressing physical health inequities in people with mental illness. © 2019, © 2019 Taylor & Francis Group, LLC

Nurse-led physical health interventions for people with mental illness: A scoping review of international literature

People with mental illness have a higher prevalence of co-occurring physical health conditions and poor health behaviors, leading a mortality gap of up to 16 years, compared with the general population. Nurses working in mental health settings play an important role in addressing factors influencing sub-optimal physical health. Therefore, this scoping review aimed to identify nurse-led physical health interventions and align interventions to eight recognized physical healthcare priority areas (i.e. Equally Well in Victoria Framework). A systematic search strategy was used to identify relevant literature. Data extraction included alignment to the Equally Well priority areas, research design, and indication of co-design (meaningful and collaborative involvement of consumers and significant others) and recovery-oriented practice (focusing on needs and goals of a consumer’s recovery journey). All included papers (n = 74) were aligned to at least one of eight Equally Well priority areas. Papers were predominately quantitative (n = 64, 86%), with the remainder mixed methods (n = 9, 9%) or qualitative (n = 4, 5%). Most papers were aligned to improving metabolic health and support to quit smoking. One study focused on nurse-led intervention designed to reduce falls. Recovery-oriented practice was evident in six papers. No paper described evidence of co-design. A research gap was identified for nurse-led intervention to reduce falls and improve dental/oral care. Relative to mental healthcare policy, there is a need for future nurse-led physical health research to be co-designed and include recovery-oriented practice. Evaluation and description of future nurse-led physical interventions should seek to report perspectives of key stakeholders as these remain relatively unknown

Improving the cardiometabolic health of people with psychosis: A protocol for a randomised controlled trial of the Physical Health Nurse Consultant service

© 2018 Background: Over 690,000 Australians experience psychosis annually, significantly impacting cardiometabolic illness and healthcare costs. Current models of care are fragmented and a critical implementation gap exists regarding the delivery of coordinated physical healthcare for Australians with psychosis. Objectives: To describe a trial implementing a Physical Health Nurse Consultant (PHNC) role to coordinate physical health care in a community mental health setting. Design/Methods: In this 24-month, 2-group randomised controlled trial, 160 adults with psychosis will be randomised to usual care, or to the PHNC in addition to usual care. Using the Positive Cardiometabolic Health treatment framework and working in collaborative partnerships with consumers (consumer-led co-design), the PHNC will provide care coordination including referral to appropriate programmes or services based on the treatment framework, with the consumer. Burden of Disease risk factors will be collected according to Australian Bureau of Statistics’ National Health Survey guidelines. Consumer experience will be assessed using the ‘Access’ ‘Acceptability’ and ‘Shared Decision Making’ dimensions of the Patient Experiences in Primary Healthcare Survey. Cost-effectiveness will be modelled from Burden of Disease data using the Assessing Cost Effectiveness Prevention methodology. Results: Data collection of two years duration will commence in late 2018. Preliminary findings are expected in December 2019. Primary outcomes will be the effect of the PHNC role on physical healthcare in community-based adults with psychosis. Conclusions: The PHNC is an innovative approach to physical health care for adults with psychosis which aims to meet the physical health needs of consumers by addressing barriers to physical health care

Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): Data sources and methods to construct a population-based research platform to investigate multimorbidity

Introduction Multimorbidity is widely recognised as the presence of two or more concurrent long-term conditions, yet remains a poorly understood global issue despite increasing in prevalence. We have created the Wales Multimorbidity e-Cohort (WMC) to provide an accessible research ready data asset to further the understanding of multimorbidity. Our objectives are to create a platform to support research which would help to understand prevalence, trajectories and determinants in multimorbidity, characterise clusters that lead to highest burden on individuals and healthcare services, and evaluate and provide new multimorbidity phenotypes and algorithms to the National Health Service and research communities to support prevention, healthcare planning and the management of individuals with multimorbidity. Methods and analysis The WMC has been created and derived from multisourced demographic, administrative and electronic health record data relating to the Welsh population in the Secure Anonymised Information Linkage (SAIL) Databank. The WMC consists of 2.9 million people alive and living in Wales on the 1 January 2000 with follow-up until 31 December 2019, Welsh residency break or death. Published comorbidity indices and phenotype code lists will be used to measure and conceptualise multimorbidity. Study outcomes will include: (1) a description of multimorbidity using published data phenotype algorithms/ontologies, (2) investigation of the associations between baseline demographic factors and multimorbidity, (3) identification of temporal trajectories of clusters of conditions and multimorbidity and (4) investigation of multimorbidity clusters with poor outcomes such as mortality and high healthcare service utilisation. Ethics and dissemination The SAIL Databank independent Information Governance Review Panel has approved this study (SAIL Project: 0911). Study findings will be presented to policy groups, public meetings, national and international conferences, and published in peer-reviewed journals