Computerization of workflows, guidelines and care pathways: a review of implementation challenges for process-oriented health information systems

There is a need to integrate the various theoretical frameworks and formalisms for modeling clinical guidelines, workflows, and pathways, in order to move beyond providing support for individual clinical decisions and toward the provision of process-oriented, patient-centered, health information systems (HIS). In this review, we analyze the challenges in developing process-oriented HIS that formally model guidelines, workflows, and care pathways. A qualitative meta-synthesis was performed on studies published in English between 1995 and 2010 that addressed the modeling process and reported the exposition of a new methodology, model, system implementation, or system architecture. Thematic analysis, principal component analysis (PCA) and data visualisation techniques were used to identify and cluster the underlying implementation ‘challenge’ themes. One hundred and eight relevant studies were selected for review. Twenty-five underlying ‘challenge’ themes were identified. These were clustered into 10 distinct groups, from which a conceptual model of the implementation process was developed. We found that the development of systems supporting individual clinical decisions is evolving toward the implementation of adaptable care pathways on the semantic web, incorporating formal, clinical, and organizational ontologies, and the use of workflow management systems. These architectures now need to be implemented and evaluated on a wider scale within clinical settings

Designing and evaluating complex interventions to improve health care

Complex interventions are “built up from a number of components, which may act both independently and interdependently.”1 2 Many health service activities should be considered as complex. Evaluating complex interventions can pose a considerable challenge and requires a substantial investment of time. Unless the trials illuminate processes and mechanisms they often fail to provide useful information. If the result is negative, we are left wondering whether the intervention is inherently ineffective (either because the intervention was inadequately developed or because all similar interventions are ineffective), whether it was inadequately applied or applied in an inappropriate context, or whether the trial used an inappropriate design, comparison groups or outcomes. If there is a positive effect, it can be hard to judge how the results of the trial might be applied to a different context (box 1)

Structure and agency in the economics of public policy for TB control

Globally, Tuberculosis remains a devastating disease, despite the availability of treatment. The disease is associated with poverty, and those with the disease incur a high cost of accessing care, while simultaneously experiencing income loss due to a loss in productivity. A key challenge in TB programmes remains the accurate diagnosis of the disease, especially in people who are HIV positive. Diagnosing TB can be very resource intensive and the accuracy of diagnosis is dependent on a range of disease, health service organisation and provider behaviour factors. This thesis seeks to enhance understanding of how the behaviour of healthcare workers mediates the value of TB diagnostic algorithms, and how this may affect the costs, outcomes as well as the economic burden associated with the disease in South Africa. The work presented is based on empirical work done alongside a pragmatic cluster randomized control trial. Empirically, it examines the longitudinal economic burden of TB diagnosis and treatment in South Africa. The discrepancies between the time at which patients incur the greatest cost and income loss, and the available social protection are highlighted. Based on empirical work, a purpose-built state-transition mathematical model of TB diagnosis and treatment was developed to estimate the cost-effectiveness, from the perspective of the health service and the patient, of health systems interventions to strengthen TB diagnosis. Recognising healthcare workers as those who ultimately express policies, the behaviour of healthcare workers was included in the cost-effectiveness analysis by 1) using data from a pragmatic trial reflecting routine practice and clinical decision-making at the time of the study; 2) developing a conceptual framework of the relationship between behaviour at decision points and disease outcomes; and 3) investigating how these interactions may influence the value of the diagnostic algorithm. Possible public policy levers to improve TB diagnosis in healthcare facilities, as well as the potential mediators of costs and effects were explored. The thesis concludes with recommendations for further methodological work to expand on the approach explored in this thesis to improve how heterogeneity in estimates of cost-effectiveness is presented to decision-makers

BRINGING CARE QUALITY TO LIFE: TOWARDS QUALITY INDICATOR-DRIVEN PATHWAY MODELLING IN HEALTH CARE NETWORKS

Integrated care is a promising approach to create connectivity, alignment, and collaboration in a network of health care providers, especially for people with long-term and complex conditions. It aims at improving care quality, but a common, standardised quality management approach for such networks is still missing. In this context, care pathways are recognised as important quality management tools. They define key goals of care and organise actions to achieve them. However, their utilisation in terms of quality management is lacking methodological support. The article provides the conceptual foundations as part of a design-oriented research project that aims to develop a method for the utilisation of care pathways for quality management purposes in inte-grated care settings. Therefore, the realm of process quality in integrated care is analysed and structured by means of a classification framework. Moreover, relevant concepts for the integration of quality indicators in care pathways are analysed and represented with a semi-formal domain ontology. These conceptualisations prepare the next steps in the project’s research agenda. These comprise the development and evaluation of an indicator-driven care pathway modelling lan-guage and its application for quality management in integrated care. This approach could make quality of integrated care more transparent and manageable

A core curriculum for the continuing professional development of nurses: Developed by the Education Committee on behalf of the Council on Cardiovascular Nursing and Allied Professions of the ESC

Background: The European Society of Cardiology and the Council on Cardiovascular Nursing and Allied Professions share a vision; to decrease the burden of cardiovascular disease in Europe. Nurses represent the largest sector of the health professional workforce and have a significant contribution to make, which has not yet been fully realised. Recent evidence highlights an association between the level of nurse education and inpatient mortality making this an important topic, particularly as the provision of nurse education in Europe is variable. Aim: To develop a core curriculum to inform the education of nurses following initial qualification for work in cardiovascular settings. Method: A syllabus was developed using published literature, policy documents and existing curricula with expert input from service users, specialist nurses, cardiologists, educationalists and academics. The syllabus formed the framework for the development of the core curriculum. Results: Eight key themes characterise the core curriculum which are presented together with an account of the development process. While the curriculum is not intended to cover all aspects of the highly complex role of the cardiovascular nurse, the themes do exemplify the science and art of nursing and are transferable across different levels of clinical practice and settings. The curriculum functions both as a ‘map’, which identifies key themes to include in nurse education, and as a ‘tool’ to inform educational provision that bridges’ the gap between initial nurse education and advanced specialist practice. Content can be adapted for use to fit the national context and reflects the specific needs, health priorities, legislative and regulatory standards that govern safe nursing practice across different countries. Conclusion: The core curriculum can be used as a learning framework to guide nurse education, in particular the continuing professional education of post-qualifying nurses working in cardiovascular settings. This represents a significant step towards streamlining cardiovascular nurse education in Europ

Randomised controlled trials of complex interventions and large-scale transformation of services

Complex interventions and large-scale transformations of services are necessary to meet the health-care challenges of the 21st century. However, the evaluation of these types of interventions is challenging and requires methodological development. Innovations such as cluster randomised controlled trials, stepped-wedge designs, and non-randomised evaluations provide options to meet the needs of decision-makers. Adoption of theory and logic models can help clarify causal assumptions, and process evaluation can assist in understanding delivery in context. Issues of implementation must also be considered throughout intervention design and evaluation to ensure that results can be scaled for population benefit. Relevance requires evaluations conducted under real-world conditions, which in turn requires a pragmatic attitude to design. The increasing complexity of interventions and evaluations threatens the ability of researchers to meet the needs of decision-makers for rapid results. Improvements in efficiency are thus crucial, with electronic health records offering significant potential

Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework

Understanding patient experience in healthcare is increasingly important and desired by medical professionals in a patient-centred care approach. Healthcare discourse on social media presents an opportunity to gain a unique perspective on patient-reported experiences, complementing traditional survey data. These social media reports often appear as first-hand accounts of patients' journeys through the healthcare system, whose details extend beyond the confines of structured surveys and at a far larger scale than focus groups. However, in contrast with the vast presence of patient-experience data on social media and the potential benefits the data offers, it attracts comparatively little research attention due to the technical proficiency required for text analysis. In this paper, we introduce the Design-Acquire-Process-Model-Analyse-Visualise (DAPMAV) framework to equip non-technical domain experts with a structured approach that will enable them to capture patient-reported experiences from social media data. We apply this framework in a case study on prostate cancer data from /r/ProstateCancer, demonstrate the framework's value in capturing specific aspects of patient concern (such as sexual dysfunction), provide an overview of the discourse, and show narrative and emotional progression through these stories. We anticipate this framework to apply to a wide variety of areas in healthcare, including capturing and differentiating experiences across minority groups, geographic boundaries, and types of illnesses