Introduction: Long COVID is a life-limiting condition that affects 65 million people worldwide. It devastates lives with uncertain illness trajectories, and yet, there are many research uncertainties as there is a lack of understanding of its causes, effective treatments and management plans. We set out to identify current research priorities for people with Long COVID, carers, healthcare professionals and researchers.
View Article and Find Full Text PDFIntroduction: Evidence examines how persons experiencing Long COVID (LC) struggle to secure healthcare for symptoms. However, few studies examine healthcare workers experiencing LC, nor the complex and multiple difficulties faced when seeking and receiving healthcare.
Methods: This study is based on two phases of longitudinally conducted qualitative interviews, 6 months apart, with National Health Service (NHS) workers experiencing LC, from different occupational roles at NHS locales in Scotland (first interviews, n = 50; second interviews, n = 44).
Background: Urinary incontinence (UI) negatively affects the well-being of women globally. Pelvic Floor Muscle Training (PFMT) is a complex intervention that aims to decrease UI symptoms. Information about how the multiple complex components involved in PFMT achieve and maintain the desired effect are rarely studied as a whole.
View Article and Find Full Text PDFDespite the value of modern therapeutics, many obstacles prevent their optimal use. Overuse, underuse and misuse are common, resulting in morbidity and mortality impacting billions of individuals across the world. Pharmacoepidemiology provides important insights into drug utilization, safety and effectiveness in large populations, and it is an important method to identify opportunities to improve the value of therapeutics in clinical practice.
View Article and Find Full Text PDFBackground: Long COVID is a devastating, long-term, debilitating illness which disproportionately affects healthcare workers, due to the nature of their work. There is currently limited evidence specific to healthcare workers about the experience of living with Long COVID, or its prevalence, pattern of recovery or impact on healthcare.
Objective: Our objective was to assess the effects of Long COVID among healthcare workers and its impact on health status, working lives, personal circumstances, and use of health service resources.
Background: With the increasing global burden of frailty on healthcare resources, it is important to understand the modifiable risk factors of frailty. This study examined perceived age discrimination as a potential risk factor for frailty progression and frailty development among older adults.
Methods: Prospective cohort study using data from Waves 5 to 9 of the English Longitudinal Study of Ageing (ELSA).
Background: The health of parents before pregnancy influences the short- and long-term health of their offspring. This systematic review explored the preconception knowledge, beliefs and behaviours held by women and men of childbearing age.
Methods: Databases were searched from 2009 to 2022 (MEDLINE, CINAHL Full-text, PsycINFO, EMBASE).
Aim: To evaluate adoption, implementation and maintenance of the Queen's Nursing Institute Scotland development programme.
Design: A comprehensive, longitudinal, qualitative evaluation.
Method: Participants from the first two cohorts were interviewed at different stages to explore adoption, implementation and maintenance.
Background: Urinary incontinence affects one in three women worldwide. Pelvic floor muscle training is an effective treatment. Electromyography biofeedback (providing visual or auditory feedback of internal muscle movement) is an adjunct that may improve outcomes.
View Article and Find Full Text PDFBackground: Process evaluations are an important component of an effectiveness evaluation as they focus on understanding the relationship between interventions and context to explain how and why interventions work or fail, and whether they can be transferred to other settings and populations. However, historically, context has not been sufficiently explored and reported resulting in the poor uptake of trial results. Therefore, suitable methodologies are needed to guide the investigation of context.
View Article and Find Full Text PDFObjectives: The quality and safety of drug therapy in primary care are global concerns. The Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP) intervention aims to improve prescribing safety via an informatics tool, which facilitates proactive management of drug therapy risks (DTRs) by health-board employed pharmacists with established roles in general practices. Study objectives were (1) to identify and prioritise factors that could influence P-DQIP implementation from the perspective of practice pharmacists and (2) to identify potentially effective, acceptable and feasible strategies to support P-DQIP implementation.
View Article and Find Full Text PDFBackground: Childbirth is a major risk factor for urinary incontinence (UI). As a result, pelvic floor muscle training (PFMT) is commonly recommended during and after pregnancy to prevent the onset of UI. PFMT is often classed as a physical activity (PA) behaviour, hence PA guidelines for postnatal women encourage PFMT alongside aerobic activities.
View Article and Find Full Text PDFPreconception physical activity is one of the main predictors of continued engagement in physical activity during and after pregnancy and subsequently, improves the health of women and their child. In the UK, guidance states that Primary Care health Professionals (PCPs) should assess and discuss the lifestyle of preconception women, in routine appointments, in order to address potentially modifiable risk factors. However, knowledge and provision of this guidance in the UK is unknown.
View Article and Find Full Text PDFIntroduction: Female urinary incontinence (UI) is common affecting up to 45% of women. Pelvic floor muscle training (PFMT) is the first-line treatment but there is uncertainty whether intensive PFMT is better than basic PFMT for long-term symptomatic improvement. It is also unclear which factors influence women's ability to perform PFMT long term and whether this has impacts on long-term outcomes.
View Article and Find Full Text PDFObjectives: The cluster randomised trial of the Data-driven Quality Improvement in Primary Care (DQIP) intervention showed that education, informatics and financial incentives for general medical practices to review patients with ongoing high-risk prescribing of non-steroidal anti-inflammatory drugs and antiplatelets reduced the primary end point of high-risk prescribing by 37%, where both ongoing and new high-risk prescribing were significantly reduced. This quantitative process evaluation examined practice factors associated with (1) participation in the DQIP trial, (2) review activity (extent and nature of documented reviews) and (3) practice level effectiveness (relative reductions in the primary end point).
Setting/participants: Invited practices recruited (n=33) and not recruited (n=32) to the DQIP trial in Scotland, UK.
Objective: To explore how different practices responded to the Data-driven Quality Improvement in Primary Care (DQIP) intervention in terms of their adoption of the work, reorganisation to deliver the intended change in care to patients, and whether implementation was sustained over time.
Design: Mixed-methods parallel process evaluation of a cluster trial, reporting the comparative case study of purposively selected practices.
Setting: Ten (30%) primary care practices participating in the trial from Scotland, UK.
Background: Two to 4% of emergency hospital admissions are caused by preventable adverse drug events. The estimated costs of such avoidable admissions in England were £530 million in 2015. The data-driven quality improvement in primary care (DQIP) intervention was designed to prompt review of patients vulnerable from currently prescribed non-steroidal anti-inflammatory drugs (NSAIDs) and anti-platelets and was found to be effective at reducing this prescribing.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
October 2016
Background: High-risk prescribing and preventable drug-related complications are common in primary care. We evaluated whether the rates of high-risk prescribing by primary care clinicians and the related clinical outcomes would be reduced by a complex intervention.
Methods: In this cluster-randomized, stepped-wedge trial conducted in Tayside, Scotland, we randomly assigned participating primary care practices to various start dates for a 48-week intervention comprising professional education, informatics to facilitate review, and financial incentives for practices to review patients' charts to assess appropriateness.
Objectives: (A) To measure the extent to which different candidate outcome measures identified high-risk prescribing that is potentially changeable by the data-driven quality improvement in primary care (DQIP) intervention.(B) To explore the value of reviewing identified high-risk prescribing to clinicians.(C) To optimise the components of the DQIP intervention.
View Article and Find Full Text PDFBackground: Difficulties with recruitment pose a major, increasingly recognised challenge to the viability of research. We sought to explore whether a register of volunteers interested in research participation, with data linkage to electronic health records to identify suitable research participants, would prove acceptable to healthcare staff, patients and researchers.
Methods: We undertook a qualitative study in which a maximum variation sampling approach was adopted.
Background: Prescribing is a core activity for general practitioners, yet significant variation in the quality of prescribing has been reported. This suggests there may be room for improvement in the application of the current best research evidence. There has been substantial investment in technologies and interventions to address this issue, but effect sizes so far have been small to moderate.
View Article and Find Full Text PDFBackground: Process evaluations are recommended to open the 'black box' of complex interventions evaluated in trials, but there is limited guidance to help researchers design process evaluations. Much current literature on process evaluations of complex interventions focuses on qualitative methods, with less attention paid to quantitative methods. This discrepancy led us to develop our own framework for designing process evaluations of cluster-randomised controlled trials.
View Article and Find Full Text PDF