Long Term Conditions (LTCs) with co-morbid common mental health conditions of anxiety and depression present a significant challenge for UK health and social care services. Depression and anxiety are common in heart failure (HF) patient populations and research suggests depression has a detrimental effect on a range of health outcomes, including Health related Quality of Life (HRQoL). The impact of anxiety is relatively under-researched in this patient group. In this doctoral study a systematic review was conducted to consolidate the evidence base for the prevalence and variance of rates of anxiety in HF patients. Importantly, the relative contribution of anxiety symptoms, measured using the Hospital Anxiety and Depression Scale (HADS), to reported HRQoL , measured using the Kansas City Cardiomyopathy Questionnarie (KCCQ) was examined in a cross-sectional survey of 158 HF patients attending specialist HF outpatient clinics. The systematic review identified 72 studies, with reported rates of anxiety varying dramatically, ranging from 6.2% to 72.3%. The random effects pooled prevalence estimate for anxiety disorders was 13.01% (95% CI 9.3% - 16.9%), for probable clinically significant anxiety was 28.8% (95% CI 23.3% - 34.3%) and the random effects pooled prevalence estimate for elevated symptoms of anxiety was 55.5% (95% CI 48.1% - 62.8%). Not all tools used to assess anxiety were population appropriate. In the survey multivariate analysis found that anxiety symptoms, did not account for a significant proportion of unique variance in HRQoL scores. Higher levels of physical symptom burden, depression and an increased number of physical co-morbidities predominantly account for 69% of the variance in HRQoL (F13,125 = p <0.0005). The findings highlight the need for accurate and valid measurement of anxiety and depression within the context of a physical LTC. Anxiety and depression are common in HF patients and the evidence suggests depression in particular predicts reported HRQoL. Further research is required to understand more about the role of anxiety in influencing patient’s health outcomes.

Patients' use of medicines is widely recognised as sub-optimal with a high proportion of patients with a long-term condition not taking their medicines as prescribed. Research and policy guidance emphasise the importance of partnership within the patient-prescriber encounter in enhancing patients' use of medicines. There is however considerable evidence that this is not usually achieved by medical prescribers, limiting the extent to which shared decision-making occurs about prescribed medicines. There is a general assumption that nurse prescribers, who within the United Kingdom have comparable prescribing rights to medical doctors, demonstrate greater abilities in collaborative working with patients leading to an enhanced use of medicines. Research evidence is however limited, particularly in relation to the ways in which patients' use of medicines is discussed and negotiated within the patient-nurse prescriber encounter. This study focused on the management of patients' use of medicines within the patient-nurse prescriber encounter. Seven nurse prescribers, working within a number of clinical specialities in both primary and secondary care settings, were recruited to the study together with their patients who were living with one or more long-term conditions (n=21). Data collection involved the non-participant observation of out-patient consultations to examine the management of patients' use of medicines within the encounter and semi-structured interviews with both patients and prescribers. Discourse analysis was undertaken to examine underpinning assumptions, views and beliefs regarding the management of patients' use of medicines. Asymmetry was evident within the encounters with prescribers controlling the agenda for discussion and interrupting patients' attempts to demonstrate their knowledge. Patient accounts of the moral approach adopted in managing their condition in the context of their everyday lives were also ignored. Biomedical and contrasting moral discourses are examined. An interpretive framework derived from the work of Michel Foucault is used to explain the operation of disciplinary, pastoral and bio-political power within the encounter and the extent to which subjugation of patients' knowledge and resistance were evident. Foucault's concept of technologies of the self is examined to explore its potential application in enhancing patients' medicines use.

Objective: The promotion of self-management support for people with LTCs is a health policy priority across the UK (LTCAS 2008; DoH 2012). Self-management support is designed to change and improve care for people with LTCs, who form an increasing proportion of the population requiring healthcare and treatment. For health organisations models of care, which support self-management, require greater emphasis on person-focused rather than disease-focused manifestations of health and represents a new model of care delivery requiring changes in practice. Current research demonstrates that health policies are increasingly complex, involve multiple organisations and often fail to translate into effective practice (Noyles et al. 2014). The deficit between what works and what happens in practice is referred to as the “implementation deficit” (Pressman and Wildasky 1984) and traditionally it has been difficult to breakaway from the idea that the policy process is best viewed from the top-down (Barett and Fudge 1981). However, there remains a need to understand the processes of implementation, which takes account of the variation, the multiple layers and interactions which takes place between policy-maker and -implementer as policy becomes practice (Hupe 2011). Implementation of self-management is a contemporary focus in UK health policy and this thesis explains what processes are used to implement self-management policy for people with LTCs into everyday practice in one health board. Methods: A case study approach was used to investigate the policy process with data collected using thirty-one semi-structured interviews with policy-makers and regional and local policy-implementers plus eight hours of observation of national and regional policy meetings. To provide context to the implementation process data also included thirteen policy documents. Data analysis used the retrospective application of NPT as a theoretical framework with which to explore the implementation processes. NPT is an emerging theory that is being promoted as a means of understanding implementation, embedding and integration of new ideas in healthcare (McEvoy et al. 2014). The application of NPT focuses on four mechanisms, termed work (May and Finch 2009: 547), which promote incorporation of new ideas in practice. These areas of work are coherence, cognitive participation, collective action and reflexive monitoring (Mair et al. 2012). Findings: The findings suggest that there are a number of important influences operating behind or as part of the policy implementation process. These included the need for a shared understanding, getting stakeholders involved to drive forward policy, work promoting collaboration and participation was the most detailed and important in the process of policy implementation; the course of policy was affected by factors which facilitated or inhibited stakeholders acceptance of self-management; and NPT fosters key analytical insights. Conclusion: Understanding the process of policy implementation in healthcare and how practice changes as a result of policy is subject to a wide range of influences. What emerges are five key recommendations relating to understanding policy implementation. (1) understanding the concept of self-management is important in promoting policy implementation. This understanding benefits from dialogue between policy-makers and -implementers. (2) stakeholder involvement supports implementation particularly the role of clinical leadership and leadership through existing networks but also value in establishing new organisational structures to create a receptive context. (3) develop participation and collaboration through use of the patient voice which helped simplify the policy message and motivate change. (4) other resources help policy implementation and where these are evident then policy is implemented and where they are absent then implementation is not embedded. Lack of evidence was a particular area of constraint. (5) NPT has shown that social context is important, and provides for this. But in addition there is evidence that historical perspectives and previous experience are also important influence on receptivity to implementation. This research contributes to the development of theory and practice in the area of implementation science. The exploration of the policy implementation has revealed the action and work which policy-makers and -implementers are engaged in while implementing policy. It has tested the utility of NPT in a real-life setting using all four mechanisms.

Preliminary investigation at the beginning of this research showed that informatics on point-of-care (POC) devices was limited to basic data generation and processing. This thesis is based on publications of several studies during the course of the research. The aim of the research is to model and analyse information generation and exchange in telehealth systems and to identify and analyse the capabilities of these systems in managing chronic diseases which utilise point-of-care devices. The objectives to meet the aim are as follows: (i) to review the state-of-the-art in informatics and decision support on point-of-care devices. (ii) to assess the current level of servitization of POC devices used within the home environment. (iii) to identify current models of information generation and exchange for POC devices using a telehealth perspective. (iv) to identify the capabilities of telehealth systems. (v) to evaluate key components of telehealth systems (i.e. POC devices and intermediate devices). (vi) to analyse the capabilities of telehealth systems as enablers to a healthcare policy. The literature review showed that data transfer from devices is an important part of generating information. The implication of this is that future designs of devices should have efficient ways of transferring data to minimise the errors that may be introduced through manual data entry/transfer. The full impact of a servitized model for point-of-care devices is possible within a telehealth system, since capabilities of interpreting data for the patient will be offered as a service (c.f. NHS Direct). This research helped to deduce components of telehealth systems which are important in supporting informatics and decision making for actors of the system. These included actors and devices. Telehealth systems also help facilitate the exchange of data to help decision making to be faster for all actors concerned. This research has shown that a large number of capability categories existed for the patients and health professionals. There were no capabilities related to the caregiver that had a direct impact on the patient and health professional. This was not surprising since the numbers of caregivers in current telehealth systems was low. Two types of intermediate devices were identified in telehealth systems: generic and proprietary. Patients and caregivers used both types, while health professionals only used generic devices. However, there was a higher incidence of proprietary devices used by patients. Proprietary devices possess features to support patients better thus promoting their independence in managing their chronic condition. This research developed a six-step methodology for working from government objectives to appropriate telehealth capability categories. This helped to determine objectives for which a telehealth system is suitable.

Background: Patient empowerment is viewed as a priority by policy makers, patients and practitioners worldwide. Although there are a number of measures available, none have been developed specifically for patients in the UK with long-term conditions. It is the aim of this study to report the development and preliminary validation of an empowerment instrument for patients with long-term conditions in primary care.Methods: The study involved three methods. Firstly, a systematic review was conducted to identify existing empowerment instruments, and to describe, compare and appraise their content and quality. The results supported the need for a new instrument. Item content of existing instruments helped support development of the new instrument. Secondly, empowerment was explored in patients with long-term conditions and primary care practitioners using qualitative methods, to explore its meaning and the factors that support or hinder empowerment. This led to the development of a conceptual model to support instrument development. Thirdly, a new instrument for measuring empowerment in patients with long-term conditions in primary care was developed. A cross-sectional survey of patients was conducted to collect preliminary data on acceptability, reliability and validity, using pre-specified hypotheses based on existing theoretical and empirical work. Results: Nine instruments meeting review inclusion criteria were identified. Only one instrument was developed to measure empowerment in long-term conditions in the context of primary care, and that was judged to be insufficient in terms of content and purpose. Five dimensions (‘identity’, ‘knowledge and understanding’, ‘personal control’, personal decision-making’, and ‘enabling other patients’) of empowerment were identified through published literature and the qualitative work and incorporated into a preliminary version of the new instrument. A postal survey achieved 197 responses (response rate 33%). Almost half of the sample reported circulatory, diabetic or musculoskeletal conditions. Exploratory factor analysis suggested a three factor solution (‘identity’, ‘knowledge and understanding’ and ‘enabling’). Two dimensions of empowerment (‘identity’ and ‘enabling’) and total empowerment showed acceptable levels of internal consistency. The measure showed relationships with external measures (including quality of chronic illness care, self-efficacy and educational qualifications) that were generally supportive of its construct validity.Conclusion: Initial analyses suggest that the new measure meets basic psychometric criteria and has potential for the measurement of patient empowerment in long-term conditions in primary care. The scale may have a role in research on quality of care for long-term conditions, and could function as a patient-reported outcome measure. However, further validation is required before more extensive use of the measure.