Clinical practice, decision-making, and use of clinical decision support systems in invasive mechanical ventilation: a narrative review.

Invasive mechanical ventilation is a key supportive therapy for patients on intensive care. There is increasing emphasis on personalised ventilation strategies. Clinical decision support systems (CDSS) have been developed to support this. We conducted a narrative review to assess evidence that could inform device implementation. A search was conducted in MEDLINE (Ovid) and EMBASE. Twenty-nine studies met the inclusion criteria. Role allocation is well described, with interprofessional collaboration dependent on culture, nurse:patient ratio, the use of protocols, and perception of responsibility. There were no descriptions of process measures, quality metrics, or clinical workflow. Nurse-led weaning is well-described, with factors grouped by patient, nurse, and system. Physician-led weaning is heterogenous, guided by subjective and objective information, and 'gestalt'. No studies explored decision-making with CDSS. Several explored facilitators and barriers to implementation, grouped by clinician (facilitators: confidence using CDSS, retaining decision-making ownership; barriers: undermining clinician's role, ambiguity moving off protocol), intervention (facilitators: user-friendly interface, ease of workflow integration, minimal training requirement; barriers: increased documentation time), and organisation (facilitators: system-level mandate; barriers: poor communication, inconsistent training, lack of technical support). One study described factors that support CDSS implementation. There are gaps in our understanding of ventilation practice. A coordinated approach grounded in implementation science is required to support CDSS implementation. Future research should describe factors that guide clinical decision-making throughout mechanical ventilation, with and without CDSS, map clinical workflow, and devise implementation toolkits. Novel research design analogous to a learning organisation, that considers the commercial aspects of device design, is required.

Ethnic minority representation in UK COVID-19 trials: systematic review and meta-analysis.

BACKGROUND: The COVID-19 pandemic has highlighted health disparities affecting ethnic minority communities. There is growing concern about the lack of diversity in clinical trials. This study aimed to assess the representation of ethnic groups in UK-based COVID-19 randomised controlled trials (RCTs). METHODS: A systematic review and meta-analysis were undertaken. A search strategy was developed for MEDLINE (Ovid) and Google Scholar (1st January 2020-4th May 2022). Prospective COVID-19 RCTs for vaccines or therapeutics that reported UK data separately with a minimum of 50 participants were eligible. Search results were independently screened, and data extracted into proforma. Percentage of ethnic groups at all trial stages was mapped against Office of National Statistics (ONS) statistics. Post hoc DerSimonian-Laird random-effects meta-analysis of percentages and a meta-regression assessing recruitment over time were conducted. Due to the nature of the review question, risk of bias was not assessed. Data analysis was conducted in Stata v17.0. A protocol was registered (PROSPERO CRD42021244185). RESULTS: In total, 5319 articles were identified; 30 studies were included, with 118,912 participants. Enrolment to trials was the only stage consistently reported (17 trials). Meta-analysis showed significant heterogeneity across studies, in relation to census-expected proportions at study enrolment. All ethnic groups, apart from Other (1.7% [95% CI 1.1-2.8%] vs ONS 1%) were represented to a lesser extent than ONS statistics, most marked in Black (1% [0.6-1.5%] vs 3.3%) and Asian (5.8% [4.4-7.6%] vs 7.5%) groups, but also apparent in White (84.8% [81.6-87.5%] vs 86%) and Mixed 1.6% [1.2-2.1%] vs 2.2%) groups. Meta-regression showed recruitment of Black participants increased over time (p = 0.009). CONCLUSIONS: Asian, Black and Mixed ethnic groups are under-represented or incorrectly classified in UK COVID-19 RCTs. Reporting by ethnicity lacks consistency and transparency. Under-representation in clinical trials occurs at multiple levels and requires complex solutions, which should be considered throughout trial conduct. These findings may not apply outside of the UK setting.

A service evaluation of specialist nurse telephone follow-up of bowel cancer patients after surgery.

INTRODUCTION: the NHS Long Term Plan has called for a reduction in the number of outpatient appointments to reduce pressure on hospital services and increase ease of access for patients. This article presents a service evaluation of an innovative, nurse-led telephone follow-up service for a group of elective bowel cancer patients following surgery. METHODS: the records of patients who underwent surgery over a 2-year period were accessed to determine the number of telephone follow-ups and other investigations. This was used to model the potential cost saving for commissioners against traditional clinic follow-up. Patient satisfaction was assessed by the European Organisation for Research and Treatment of Cancer questionnaire on Outpatient Satisfaction in 30 patients. RESULTS: feedback on the service was overwhelmingly positive, with patients praising the care received from the specialist nurses, but also commenting on increased continuity of care, ease of access and convenience. The service also potentially creates significant savings for commissioners as the agreed tariff for nurse telephone follow-up is significantly less than the outpatient tariff. DISCUSSION: this innovative follow-up system is well liked by patients and should provide savings for commissioners. The hospital also benefits from an increase in capacity to see new or more unwell patients, and a reduction in carbon emissions. Such a service, however, is dependent on people, and although it has functioned effectively in this department for approximately 20 years, it would only be generalisable to other units if staff had appropriate expertise.

A service evaluation of specialist nurse telephone follow-up of bowel cancer patients after surgery.

INTRODUCTION: the NHS Long Term Plan has called for a reduction in the number of outpatient appointments to reduce pressure on hospital services and increase ease of access for patients. This article presents a service evaluation of an innovative, nurse-led telephone follow-up service for a group of elective bowel cancer patients following surgery. METHODS: the records of patients who underwent surgery over a 2-year period were accessed to determine the number of telephone follow-ups and other investigations. This was used to model the potential cost saving for commissioners against traditional clinic follow-up. Patient satisfaction was assessed by the European Organisation for Research and Treatment of Cancer questionnaire on Outpatient Satisfaction in 30 patients. RESULTS: feedback on the service was overwhelmingly positive, with patients praising the care received from the specialist nurses, but also commenting on increased continuity of care, ease of access and convenience. The service also potentially creates significant savings for commissioners as the agreed tariff for nurse telephone follow-up is significantly less than the outpatient tariff. DISCUSSION: this innovative follow-up system is well liked by patients and should provide savings for commissioners. The hospital also benefits from an increase in capacity to see new or more unwell patients, and a reduction in carbon emissions. Such a service, however, is dependent on people, and although it has functioned effectively in this department for approximately 20 years, it would only be generalisable to other units if staff had appropriate expertise.

Long COVID symptoms and demographic associations: A retrospective case series study using healthcare application data.

Objectives: To investigate long COVID (LC) symptoms self-reported via a digital application. Explore associations between various demographic factors and intensity of LC symptoms. Design: A retrospective case series study. We analysed self-reported symptoms from 1008 individuals with LC between November 30, 2020, and March 23, 2022. Setting: England and Wales. Participants: Individuals with LC using the healthcare application in 31 post-COVID-19 clinics and self-reporting LC symptoms. Main outcome measures: Highest reported LC symptoms, associations with demographic factors and intensity of symptoms. Results: 109 symptom categories were identified, with pain (26.5%), neuropsychological issues (18.4%), fatigue (14.3%) and dyspnoea (7.4%) the most prevalent. The intensity of reported symptoms increased by 3.3% per month since registration. Age groups 68-77 and 78-87 experienced higher symptom intensity (32.8% and 86% higher, respectively) compared to the 18-27 age group. Women reported 9.2% more intense symptoms than men, and non-white individuals with LC reported 23.5% more intense symptoms than white individuals with LC. Higher education levels (national vocational qualification (NVQ) 3 to NVQ 5) were associated with less symptom intensity (27.7%, 62.8% and 44.7% less, respectively) compared to the least educated (NVQ 1-2). People in less deprived areas had less intense symptoms than those in the most deprived area. No significant association was found between index of multiple deprivation (IMD) decile and number of symptoms. Conclusion: Treatment plans must prioritise addressing prevalent LC symptoms; we recommend sustained support for LC clinics. Demographic factors significantly influence symptom severity, underlining the need for targeted interventions. These findings can inform healthcare policies to better manage LC.

Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease-Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review.

BACKGROUND: Digital health interventions have become increasingly common across health care, both before and during the COVID-19 pandemic. Health inequalities, particularly with respect to ethnicity, may not be considered in frameworks that address the implementation of digital health interventions. We considered frameworks to include any models, theories, or taxonomies that describe or predict implementation, uptake, and use of digital health interventions. OBJECTIVE: We aimed to assess how health inequalities are addressed in frameworks relevant to the implementation, uptake, and use of digital health interventions; health and ethnic inequalities; and interventions for cardiometabolic disease. METHODS: SCOPUS, PubMed, EMBASE, Google Scholar, and gray literature were searched to identify papers on frameworks relevant to the implementation, uptake, and use of digital health interventions; ethnically or culturally diverse populations and health inequalities; and interventions for cardiometabolic disease. We assessed the extent to which frameworks address health inequalities, specifically ethnic inequalities; explored how they were addressed; and developed recommendations for good practice. RESULTS: Of 58 relevant papers, 22 (38%) included frameworks that referred to health inequalities. Inequalities were conceptualized as society-level, system-level, intervention-level, and individual. Only 5 frameworks considered all levels. Three frameworks considered how digital health interventions might interact with or exacerbate existing health inequalities, and 3 considered the process of health technology implementation, uptake, and use and suggested opportunities to improve equity in digital health. When ethnicity was considered, it was often within the broader concepts of social determinants of health. Only 3 frameworks explicitly addressed ethnicity: one focused on culturally tailoring digital health interventions, and 2 were applied to management of cardiometabolic disease. CONCLUSIONS: Existing frameworks evaluate implementation, uptake, and use of digital health interventions, but to consider factors related to ethnicity, it is necessary to look across frameworks. We have developed a visual guide of the key constructs across the 4 potential levels of action for digital health inequalities, which can be used to support future research and inform digital health policies.

Diarrhoea in critical care is rarely infective in origin, associated with increased length of stay and higher mortality.

Diarrhoea, defined as > 3 loose or liquid stools per day, affects 9.7-41% of intensive care unit patients, negatively impacting on patient dignity, intensifying nursing workload and increasing morbidity. Its pathogenesis is poorly understood, but infective agents, intensive care unit therapies (such as enteral feed) and critical illness changes in the gut microbiome are thought to play a role. We analysed a consecutive cohort of 3737 patients admitted to a mixed general intensive care unit. Diarrhoea prevalence was lower than previously reported (5.3%), rarely infective in origin (6.5%) and associated with increased length of stay (median (inter-quartile range) 2.3 (1.0-5.0) days vs. 10 days (5.0-22.0), p < 0.001, sub-distribution hazard ratio 0.55 (95% CI 0.48-0.63), p < 0.001) and mortality (9.5% vs. 18.1%, p = 0.005, sub-distribution hazard ratio 1.20 (95% CI 0.79-1.81), p = 0.40), compared to patients without diarrhoea. In addition, 17.1% of patients received laxatives <24 h prior to diarrhoea onset. Further research on diarrhoea's pathogenesis in critical care is required; robust treatment protocols, investigation rationalisation and improved laxative prescribing may reduce its incidence and improve related outcomes.