Orla Macdonald
A5035210867- COVID-19 and healthcare impacts
- COVID-19 and Mental Health
- Healthcare cost, quality, practices
- Telemedicine and Telehealth Implementation
- COVID-19 Clinical Research Studies
- Health Systems, Economic Evaluations, Quality of Life
- Health Policy Implementation Science
- Pharmaceutical Practices and Patient Outcomes
- Chronic Disease Management Strategies
- Long-Term Effects of COVID-19
- Digital Mental Health Interventions
- Antibiotic Use and Resistance
- Schizophrenia research and treatment
- Sepsis Diagnosis and Treatment
- Primary Care and Health Outcomes
- Mental Health and Psychiatry
- Mental Health Research Topics
- SARS-CoV-2 and COVID-19 Research
- Healthcare Policy and Management
- Intensive Care Unit Cognitive Disorders
- Climate Change and Health Impacts
- Social Media in Health Education
- Frailty in Older Adults
- Healthcare professionals’ stress and burnout
- Homelessness and Social Issues
Oxford Health NHS Foundation Trust
2019-2025
University of Oxford
2022-2025
Warneford Hospital
2020-2023
Health Foundation
2022-2023
Oxford BioMedica (United Kingdom)
2022
National Health Service
2020
The coronavirus disease (COVID-19) presents unique challenges in health care, including mental care provision. Telepsychiatry can provide an alternative to face-to-face assessment and also be used creatively with other technologies enhance but clinicians patients may feel underconfident about embracing this new way of working.The aim paper is produce open-access, easy-to-consult, reliable source information guidance telepsychiatry COVID-19 using evidence-based approach.We systematically...
Background The COVID-19 pandemic required mental health services around the world to adapt quickly new restrictions and regulations put in place reduce risk of transmission. As face-to-face contact became difficult, virtual methods were implemented continue safely provide care. However, it is unclear what extent service provision transitioned telemental worldwide. Objective We aimed systematically review global research literature on how adapted during first year pandemic. Methods searched...
Lithium is an effective prophylactic and anti-manic treatment in bipolar disorder; however, its use declining through perceived poor tolerance toxicity. inhibits inositol monophosphatase (IMPase), a probable key therapeutic mechanism. The anti-inflammatory drug, ebselen, also IMPase appears well-tolerated safe.To assess the efficacy of adjunctive ebselen mania using Young Mania Rating Scale (YMRS) (primary outcome) Altman Self-Rating (ASRM) Clinical Global Impression-Severity (CGI-S) among...
To ascertain patient eligibility status and describe coverage of antiviral drugs neutralising monoclonal antibodies (nMAB) as treatment for covid-19 in community settings England.Retrospective, descriptive cohort study, approved by NHS England.Routine clinical data from 23.4 million people linked to on infection treatment, within the OpenSAFELY-TPP database.Outpatients with at high risk severe outcomes.Nirmatrelvir/ritonavir (paxlovid), sotrovimab, molnupiravir, casirivimab/imdevimab, or...
Background The COVID-19 pandemic affected how care was delivered to vulnerable patients, such as those with dementia or learning disability. Objective To explore whether this antipsychotic prescribing in at-risk populations. Methods With the approval of NHS England, we completed a retrospective cohort study, using OpenSAFELY platform primary data 59 million patients. We identified patients five groups: autism, dementia, disability, serious mental illness and home residents. calculated...
Background In medicine, algorithms can inform treatment decisions by combining the most up-to-date evidence about side effect profiles of medications, which are comparable in efficacy. Their use provides opportunities for improved shared clinician–patient decision-making when initiating therapy. We designed a decision support tool (DST) that incorporated latest regarding antipsychotic effects. The allowed patients to select one commonly associated with antipsychotics they wished avoid; then...
Background COVID-19 restrictions led to increased reports of depressive symptoms in the general population and impacted health social care services. We explored whether these changes affected antidepressant prescribing trends those with learning disability or autism. Methods With approval NHS England, we used >24 million patients’ primary data from OpenSAFELY-TPP platform. interrupted time series analysis quantify prescribed newly an across key demographic clinical subgroups, comparing...
Objective To implement complex, PINCER (pharmacist led information technology intervention) prescribing indicators, on a national scale with general practice data to describe the impact of covid-19 pandemic safe prescribing. Design Population based, retrospective cohort study using federated analytics. Setting Electronic health record from 56.8 million NHS patients by use OpenSAFELY platform, approval National Health Service (NHS) England. Participants (aged 18-120 years) who were alive and...
Sepsis, characterised by significant morbidity and mortality, is intricately linked to socioeconomic disparities pre-admission clinical histories. This study aspires elucidate the association between non-COVID-19 related sepsis health inequality risk factors amidst pandemic in England, with a secondary focus on their 30-day mortality.
Background The COVID-19 pandemic has disrupted healthcare activity across a broad range of clinical services. NHS stopped non-urgent work in March 2020, later recommending services be restored to near-normal levels before winter where possible. Aim To describe changes the volume and variation coded general practice six areas: cardiovascular disease, diabetes, mental health, female reproductive screening related procedures, processes medication. Design setting With approval England, cohort...
Abstract Objective To describe the impact of COVID-19 pandemic on safe prescribing, using PINCER prescribing indicators; to implement complex indicators at national scale GP data. Design Population based cohort study, with approval NHS England OpenSAFELY platform. Setting Electronic health record data from 56.8 million patients’ general practice records. Participants All patients registered a TPP or EMIS computer systems and recorded as risk least one potentially hazardous indicator between...
The COVID-19 pandemic has had a significant impact on delivery of NHS care. We have developed the OpenSAFELY Service Restoration Observatory (SRO) to develop key measures primary care activity and describe trends in these throughout pandemic. With approval England, we an open source software framework for data management analysis variation clinical across electronic health record (EHR) 48 million adults.We SNOMED-CT codelists such as blood pressure monitoring asthma reviews, selected by...
Abstract Background The COVID-19 pandemic has disrupted healthcare activity across a broad range of clinical services. NHS stopped non-urgent work in March 2020, later recommending services be restored to near-normal levels before winter where possible. Aims Using routinely collected data, our aim was describe changes the volume and variation coded general practice in: (i) cardiovascular disease, (ii) diabetes, (iii) mental health, (iv) female reproductive (v) screening, (vi) processes...
Abstract Background The COVID-19 pandemic has had a significant impact on delivery of NHS care. We have developed the OpenSAFELY Service Restoration Observatory (SRO) to describe this primary care activity and monitor its recovery. Objectives To develop key measures trends in these throughout pandemic. Methods With approval England we an open source software framework for data management analysis variation clinical across electronic health record (EHR) 48 million adults. SNOMED-CT codelists...
<sec> <title>BACKGROUND</title> The coronavirus disease (COVID-19) presents unique challenges in health care, including mental care provision. Telepsychiatry can provide an alternative to face-to-face assessment and also be used creatively with other technologies enhance but clinicians patients may feel underconfident about embracing this new way of working. </sec> <title>OBJECTIVE</title> aim paper is produce open-access, easy-to-consult, reliable source information guidance telepsychiatry...
Abstract Background COVID-19 lockdowns led to increased reports of depressive symptoms in the general population and impacted health social care services people with learning disability autism. We explored whether pandemic had an impact on antidepressant prescribing trends within these population. Methods With approval NHS England, we used >24 million patients’ primary data from OpenSAFELY-TPP platform. identified patients or autism interrupted time series analysis quantify those...
Data analysis is used to identify signals suggestive of variation in treatment choice or clinical outcome. Analyses date have generally focused on a hypothesis-driven approach.This study aimed develop hypothesis-free approach unusual prescribing behavior primary care data. We apply this methodology national data set cross-sectional chemicals with significant use across Clinical Commissioning Groups (CCGs) for further review, thereby demonstrating proof concept prioritization approaches.Here...
Abstract Background The COVID-19 pandemic significantly affected health and social care services. We aimed to explore whether this impacted the prescribing rates of antipsychotics within at-risk populations. Methods With approval NHS England, we completed a retrospective cohort study, using OpenSAFELY platform primary data 59 million patients. identified patients in five groups: autism, dementia, learning disability, serious mental illness home residents. then calculated monthly prevalence...
Background: The COVID-19 pandemic significantly affected health and social care services. We aimed to explore whether this antipsychotic prescribing in at-risk populations.Methods: With the approval of NHS England, we completed a retrospective cohort study, using OpenSAFELY platform primary data 59 million patients. identified patients five groups: autism, dementia, learning disability, serious mental illness home residents. calculated monthly prevalence these groups, as well incidence new...