About
73
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Introduction
Julie Cowie currently works at the Yunus Centre for Social Business and Health Glasgow Caledonian University.
Current institution
Additional affiliations
April 2019 - present
November 1995 - December 2000
May 2013 - present
Publications
Publications (73)
Objectives
To feasibility test a novel community-based financial incentive scheme to promote healthy weight and well-being.
Design
Single-arm, prospective feasibility study using mixed methods.
Setting
Two communities in Scotland experiencing high levels of disadvantage according to the Scottish Index for Multiple Deprivation (SIMD). Community C1...
Background
Various approaches to physical rehabilitation to improve function and mobility are used after stroke. There is considerable controversy around the relative effectiveness of approaches, and little known about optimal delivery and dose. Some physiotherapists base their treatments on a single approach; others use components from several dif...
Introduction
Sustaining evidence-based care is challenging in all clinical settings. Acute care settings have a unique set of contextual factors that may impact sustainability (eg, fast-paced, regular staff turnover). Much of the previous research explores sustainability across undifferentiated healthcare settings making it difficult to determine f...
Objectives
To explore the experience of accessing Long COVID community rehabilitation from the perspectives of people with Long COVID and general practitioners (GPs).
Design
Qualitative descriptive study employing one-to-one semistructured virtual interviews analysed using the framework method.
Setting
Four National Health Service Scotland territ...
Background
Up to 30% of children have constipation at some stage in their life. Although often short-lived, in one-third of children it progresses to chronic functional constipation, potentially with overflow incontinence. Optimal management strategies remain unclear.
Objective
To determine the most effective interventions, and combinations and se...
Objectives
This study aimed to explore the perceptions and experiences of barriers and facilitators to accessing Long COVID community rehabilitation.
Design
We used a qualitative descriptive design over two rounds of data collection with three participant groups: (1) people with experience of rehabilitation for Long COVID (PwLC); (2) National Heal...
Objectives: To explore the experience of accessing Long COVID community rehabilitation from the perspectives of people with Long COVID and General Practitioners (GPs).
Design: Qualitative descriptive study employing one-to-one semi-structured virtual interviews analysed using the framework method.
Setting: Four NHS Scotland territorial health board...
Objectives: To explore the perceptions and experiences of barriers and facilitators to accessing Long COVID community rehabilitation.
Design: We used a qualitative descriptive design over two rounds of data collection with three participant groups: i) people with experience of rehabilitation for Long COVID (PwLC), ii) NHS staff delivering and/or ma...
Unmet healthcare needs and interventions for people with long-term neurological conditions during the Covid pandemic. PROSPERO 2023 CRD42023406433 Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023406433
Review question 1. What were the unmet healthcare needs of adults with long-term neurological conditions (LTNC)...
Objective
To explore the acceptability, barriers and enablers of NICE guidelines for osteoarthritis in the Scottish primary care setting using the Joint Implementation of Guidelines for Osteoarthritis in Western Europe (JIGSAW-E) model and investigate the role of Advanced Physiotherapy Practitioners (APPs) in providing evidence-based care.
Design...
Background: Over 50 million cases of COVID-19 have been confirmed globally as of November 2020. Evidence is rapidly emerging on the epidemiology of COVID-19, and its impact on individuals and potential burden on health services and society. Between 10–35% of people with COVID-19 may experience post-acute long Covid. This currently equates to betwee...
Background: Over 50 million cases of COVID-19 have been confirmed globally as of November 2020. Evidence is rapidly emerging on the epidemiology of COVID-19, and its impact on individuals and potential burden on health services and society. Between 10–35% of people with COVID-19 may experience post-acute long Covid. This currently equates to betwee...
Background
Evidence from disease epidemics shows that healthcare workers are at risk of developing short- and long-term mental health problems. The World Health Organization (WHO) has warned about the potential negative impact of the COVID-19 crisis on the mental well-being of health and social care professionals. Symptoms of mental health problems...
Dementia is recognised as the biggest health crisis of our time in terms of high personal and social costs and wider impact on health and social care systems. Increases in people living with dementia and multi-morbidities presents critical challenges for home care worldwide. Health-care systems struggle to provide adequate home-care services, deliv...
Background:
Identifying factors that influence sustained implementation of hospital-based interventions is key to ensuring evidence-based best practice is maintained across the NHS. This study aimed to identify, appraise and synthesise the barriers and facilitators that influenced the delivery of sustained healthcare interventions in a hospital-ba...
Background
In the UK osteoarthritis (OA) is a common musculoskeletal problem with 8.75 million people seeking treatment in 2015 1. Evidence-based guidelines are available for the management of OA but implementation into routine daily practice remains complex. The Joint Implementation of Guidelines for Osteoarthritis in Western Europe (JIGSAW-E) mod...
Background
Improving the quality and efficiency of healthcare is an international priority. A range of complex ward based quality initiatives have been developed over recent years, perhaps the most influential programme has been Productive Ward: Releasing Time to Care. The programme aims to improve work processes and team efficiency with the aim of...
Many people with dementia, supported by family carers, prefer to live at home and may rely on homecare support services. People with dementia are also often living with multimorbidities, including cancer. The main risk factor for both cancer and dementia is age and the number of people living with dementia and cancer likely to rise. Upskilling the...
Background
The health impacts of loneliness and social isolation among older adults are widely acknowledged. Despite this, there is no consensus on the possible causal nature of this relationship, which could undermine effectiveness of interventions. One body of thought is that loneliness and social isolation affect health-related behaviours to ind...
Purpose
To determine the relative influence of the different domains of healthcare quality from the Care Experience Feedback Improvement Tool and identify key predictors of healthcare quality from the patients’ perspective. Measurement is necessary to determine whether quality of healthcare is improving. The Care Experience Feedback Improvement To...
Introduction Sustaining effective interventions in hospital environments is essential to improving health outcomes, and reducing research waste. Current evidence suggests many interventions are not sustained beyond their initial delivery. The reason for this failure remains unclear. Increasingly research is employing theoretical frameworks and mode...
Digital services are often regarded as a solution to the growing demands on primary care services. Provision of a tool offering advice to support self-management as well as the ability to digitally consult with a General Practitioner (GP) has the potential to alleviate some of the pressure on primary care. This paper reports on a Phase II, 6-month...
An increasing number of individuals are now living with some form of chronic, long-term condition (LTC). The holistic perspective of LTCs makes it important to acknowledge that priorities and decisions are in fluctuation over the course of an individual’s life. The landscape of digital healthcare is full of information systems that capture individu...
Background:
Many patients undergoing treatment for head and neck cancer (HNC) experience significant swallowing difficulties, and there is some evidence that swallowing exercises may improve outcomes, including quality of life. This feasibility study developed an evidence-based, practical Swallowing Intervention Package (SiP) for patients undergoi...
Background:
Few studies explore stroke survivor views and motivations towards stem cell therapy (SCT). This qualitative study explores the views and motivations of both stroke survivors and their partners/carers towards a proposed 2-arm Phase III Randomised Controlled Trial (RCT) comparing intracerebral insertion of stem cells with placebo neurosu...
Background
Head and neck cancer (HNC) is the sixth most common cancer worldwide, and the functional, psychological and social consequences of HNC cancer and its treatment can be severe and chronic. Dysphagia (swallowing problems) affects up to two thirds of patients undergoing combined chemoradiotherapy. Recent reviews suggest that prophylactic swa...
Objective To develop a structurally valid and reliable, yet brief measure of patient experience of hospital quality of care, the Care Experience Feedback Improvement Tool (CEFIT). Also, to examine aspects of utility of CEFIT.
Background Measuring quality improvement at the clinical interface has become a necessary component of healthcare measuremen...
This paper describes research investigating ways in which a mobile decision support system might be implemented. Our view is that the mobile decision maker will be better supported if he/she is aware of the Quality of the Data (QoD) used in deriving the decision, and how QoD improves or deteriorates while he/she is on the move. We propose a QoD mod...
Background: The Advanced Symptom Management System (ASyMS) is a mobile phone based system to remotely monitor and manage the toxicities of cancer treatment in the home care setting. ASyMS is being evaluated in a three-phase, multi-site complex intervention study, with a before and after study design. The study is exploring the impact of ASyMS on ca...
This paper describes an ongoing study of the Advanced Symptom Management System (ASyMS) for patients receiving chemotherapy for breast or colorectal cancer. We begin by detailing the ASyMS work to date, providing an overview of research conducted in the field over the last ten years. The current study, ASyMS-III, is then presented, highlighting the...
This paper describes research towards implementation of a mobile decision support system. Our view is that the mobile decision maker will benefit if provided with a measure of the Quality of the Data (QoD) used in deriving a decision, and how QoD improves or deteriorates while he/she is on the move. We propose a QoD model taking into account static...
This paper describes an ongoing study of the Advanced Symptom Management System (ASyMS) for patients receiving chemotherapy for breast or colorectal cancer. We begin by detailing the ASyMS work to date, providing an overview of research conducted in the field over the last ten years. The current study, ASyMS-III, is then presented, highlighting the...
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Background: Patients with cancer receiving chemotherapy are at risk of developing severe or life threatening adverse events (AEs). The aim of this study was to develop and test a risk model for six common toxicities based on a detailed analysis of daily self-reported symptoms. The retrospective study was performed on a data set of 33 breast...
This paper describes the implementation and evaluation of a mobile knowledge management and decision support system to assist archaeologists in dealing with soils. Our view is that provision of a mobile tool which provides access to expert knowledge and a means of recording pertinent onsite information will be of great benefit in ensuring crucial i...
The wide availability of advanced information and communication technology has made it possible for users to expect a much wider access to decision support. Since the context of decision making is not necessarily restricted to the office desktop; decision support facilities have to be provided through access to technology anywhere; anytime; and thr...
Patients with breast cancer receiving chemotherapy are at risk of developing toxicities which can be severe or life threatening. The aim of this study was to develop and test a side effect risk modeling tool (ASyMS©-SERAT) for use in patients with breast cancer undergoing adjuvant chemotherapy. The study was conducted in two phases. Phase 1 entaile...
A constant problem for field archaeologists is the need for familiarity with the core concepts of a diverse range of specialist disciplines. Soils and sediments are an integral part of archaeological sites, yet the teaching of soils in archaeology degrees is variable and many archaeologists complain they are lacking in the confidence and skills req...
This paper discusses the effects of using directed intervention crossover approaches with Genetic Algorithms (GA) and demonstrates their application to scheduling of bio-control agents and cancer chemotherapy treatments. Unlike traditional approaches such as Single Point Crossover (SPC) or Uniform Crossover (UC), the directed intervention technique...
This paper discusses the effects of mutation and directed intervention crossover approaches when applied to the derivation of cancer chemotherapy treatment schedules. Unlike traditional Uniform Crossover (UC), the directed intervention techniques actively choose the intervention level based on the fitness of the parents selected for crossover. This...
We explore the application of an Estimation of Distribution Algorithm which uses a Markov Network to the problem of bio-control in mushroom farming. This falls into the category of “bang-bang control” problems and was previously used as an application for genetic algorithms with modified crossover operators. The EDA yields a small improvement in th...
This paper describes two directed intervention crossover approaches that are applied to the problem of deriving optimal cancer chemotherapy treatment schedules. Unlike traditional uniform crossover (UC), both the calculated expanding bin (CalEB) method and targeted intervention with stochastic selection (TInSSel) approaches actively choose an inter...
In this paper we present an application of an Estimation of Distribution Algorithm (EDA) that uses a Markov network probabilistic model. The application is to the problem of bio-control in mushroom farming, a domain which admits bang-bang-control solutions. The problem is multi-objective and uses a weighted fitness function. Previous work on this p...
Mobile users making real-time decisions based on current information need confidence about their context been taken into consideration in producing recommendations. This chapter reviews current use of mobile technologies for decision support. Specifically, it describes a framework for assessing the impact of mobility in decision-making. The framewo...
The wide availability of advanced information and communication technology has made it possible for users to expect a much wider access to decision support. Since the context of decision making is not necessarily restricted to the office desktop, decision support facilities have to be provided through access to technology anywhere, anytime, and thr...
Patients undergoing chemotherapy want specific information on potential toxicities of their treatment. Such information includes what side-effects they are likely to experience, how severe these side-effects will be, how long they will experience them for, and the best ways of managing them. As well as improving the experiences of patients, informa...
This paper describes two directed intervention crossover approaches that are applied to a bio-control dynamic system. Unlike traditional uniform crossover, both the calculated expanding bin (CalEB) method and targeted intervention with stochastic selection (TInSSel) approach actively choose an intervention level and spread based on the fitness of t...
This paper discusses the potential of Particle Swarm Optimisation (PSO) for inducing Bayesian Networks (BNs). Specifically, we detail two methods which adopt the search and score approach to BN learning. The two algorithms are similar in that they both use PSO as the search algorithm, and the K2 metric to score the resulting network. The difference...
There is a professional responsibility placed upon archaeologists to record all possible information about a given excavated site of which soil analysis is one important but frequently marginalised aspect. This paper introduces SASSA (Soil Analysis Support System for Archaeologists), whose primary goal is to promote the wider use of soil analysis t...
There is a professional responsibility placed upon archaeologists to record all possible information about a given excavated site of which soil analysis is one important but frequently marginalised aspect. This paper introduces SASSA (Soil Analysis Support System for Archaeologists), whose primary goal is to promote the wider use of soil analysis t...
In the domain of mushroom farming, sciarid flies can adversely affect the quality of crop produced. One solution to this problem is the use of a bio-control agent to reduce, and ideally eliminate the presence of this pest. The nematode worm Steinernema feltiae provides an effective control agent against the sciarid flies. In order to maximise the e...
This paper describes research investigating ways in which a mobile decision support system might be implemented. Our view is that the mobile decision maker will be better supported if he/she is aware of the Quality of the Data (QoD) used in deriving a decision, and how QoD improves or deteriorates while he/she is on the move. We propose a QoD model...
The use of artificial intelligence techniques in medical decision support systems is becoming more commonplace. By incorporating a method to represent expert knowledge, such systems can aid the user in aspects such as disease diagnosis and treatment planning. This paper reports on the first part of a project addressing the diagnosis of individuals...
Artificial Intelligence and Operational Research techniques have contributed greatly to understanding the development and subsequent treatment of disease. These fields are constantly evolving, and novel techniques are increasingly furthering our knowledge of disease. Moreover, these techniques are facilitating early and accurate diagnosis, which is...
This paper stems from the conjunction of two research studies, the first investigating the provision of Intelligent User Support for multi-criteria decision analysis, the second seeking to provide decision support to small and medium enterprises in the Glasgow area. It describes two softwares for analysis and visual interactive display (AVIDs) desi...
Problem structuring methods (PSMs) aim to build shared understanding in a group of decision makers. This shared understanding is used as a basis for them to negotiate an agreed action plan that they are prepared to help implement. Engaging in a social process of negotiation with a large number of people is difficult, and so PSMs have typically focu...
In an attempt to enhance the relationship between user and system, Multicriteria Decision Support Systems (MCDSS) which incorporate
some form of intelligent support have been developed. Intelligent MCDSS (IMCDSS) are potentially useful to the multicriteria
practitioner in (at least) two respects. Firstly, they can act as an “intelligent assistant”...
Effective software is an essential element of real world multicriteria decision aid (MCDA) and there are many ways in which the incorporation of intelligent support can, and has been shown to, enhance multicriteria decision support (MCDSS). However, there is little discussion in the literature about who is the intended benificiary of the intelligen...
Genetic Algorithms (GAs) are a commonly used stochastic search heuristic which have been applied to a plethora of problem domains. GAs work on a population of chromosomes (an encoding of a solu- tion to the problem at hand) and breed solutions from flt parents to hopefully produce fltter children through a process of crossover and mutation. This wo...
Soils are an integral part of our cultural record and the importance of studying soils and sediments on archaeological sites in well established. However, many field archaeologists have had minimal or zero training in soil science and as a result feel overwhelmed by the specialist terminology and the complexity of the very medium that provides cont...
Thesis (Ph. D.)--University of Strathclyde, 2001.
