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To assess the effectiveness of sub-epidermal moisture (SEM) assessment technology in the detection of early-stage pressure damage in a critical care unit (CCU) and dark skin tone patients and its impact on hospital-acquired pressure injury (HAPI) incidence.
Quality improvement study employing Kurt Lewin's change model emphasizing planning, implementation, evaluation and sustainable change.
The study evaluated 140 adult patients admitted to the CCU over a 24-week period, from July to December 2022. Retrospective analysis of standard PI care pathways was performed in 90 patients admitted during a 12-week pre-implementation period. Fifty patients were admitted through the subsequent 12-week implementation period. SEM assessments were performed daily at the sacrum and heels and interventions were applied based on SEM assessments; SEM delta ≥0.6 indicating localized oedema or persistent focal oedema. Statistical analyses were performed on anonymized data.
Pre-implementation HAPI incidence was 8.9% (N = 8/90). All eight patients were African American with varying skin tones. A 100% reduction in HAPI incidence was achieved in the implementation period which included 35 African American patients. The relative risk of HAPI incidence was 1.6 times higher in the pre-implementation group.
Implementing SEM assessment technology enabled equitable PI care for all population types and resulted in a 100% reduction of PIs in our CCU. Objective SEM assessments detected early-stage PIs, regardless of skin tone and enabled providing interventions to specific anatomies developing tissue damage as opposed to universal preventive interventions.
PI care pathways relying on visual and tactile skin assessments are inherently biased in providing equitable care for dark skin tone patients. Implementing SEM assessments empowers healthcare practitioners in driving objective clinical interventions, eliminates bias and enables positive PI health outcomes.
Implementing SEM assessment technology had three main effects: it detected early tissue damage regardless of skin tone (detection effect), enabled anatomy-specific interventions (treatment effect) and prevented PIs across all population types (prevention effect).
The authors have adhered to the Standards for Quality Improvement Reporting Excellence (SQUIRE) 2.0 guidelines.
No patient or public contribution.
What does this paper contribute to the wider global clinical community? Addressing health inequities in pressure injury prevention; Demonstrated effectiveness across patient populations; Resource optimization and enhanced patient safety.
In this study, we aimed to characterize the impact of long COVID on quality of life and approaches to symptom management among Black American adults.
As a novel condition, qualitative evidence concerning long COVID symptoms and their impact on quality of life can inform the refinement of diagnostic criteria and care plans. However, the underrepresentation of Black Americans in long COVID research is a barrier to achieving equitable care for all long COVID patients.
We employed an interpretive description study design.
We recruited a convenience sample of 15 Black American adults with long COVID. We analysed the anonymized transcripts from race-concordant, semi-structured interviews using an inductive, thematic analysis approach. We followed the SRQR reporting guidelines.
We identified four themes: (1) The impact of long COVID symptoms on personal identity and pre-existing conditions; (2) Self-management strategies for long COVID symptoms; (3) Social determinants of health and symptom management; and (4) Effects on interpersonal relationships.
Findings demonstrate the comprehensive ramifications of long COVID on the lives of Black American adults. Results also articulate how pre-existing conditions, social risk factors, distrust due to systemic racism, and the nature of interpersonal relationships can complicate symptom management.
Care approaches that support access to and implementation of integrative therapies may be best suited to meet the needs of long COVID patients. Clinicians should also prioritize eliminating patient exposure to discrimination, implicit bias, and microaggressions. This is of particular concern for long COVID patients who have symptoms that are difficult to objectively quantify, such as pain and fatigue.
While patient perspectives and experiences were the focus of this study, patients were not involved with the design or conduct of the study, data analysis or interpretation, or writing the manuscript.
by Luke Bracegirdle, Matthew Stubbs, Rezaur Rahman, Alexander I. R. Jackson, Helmi C. Burton-Papp, Robert Chambers, Sanjay Gupta, Michael P. W. Grocott, Ahilanandan Dushianthan
BackgroundCOVID-19 placed immense strain on healthcare systems, necessitating innovative responses to the surge of critically ill patients, particularly those requiring mechanical ventilation. In this report, we detail the establishment of a dedicated critical care prone positioning team at University Hospital Southampton in response to escalating demand for prone positioning during the initial wave of the pandemic.
MethodsThe formation of a prone positioning team involved meticulous planning and collaboration across disciplines to ensure safe and efficient manoeuvrers. A comprehensive training strategy, aligned with national guidelines, was implemented for approximately 550 staff members from a diverse background. We surveyed team members to gain insight to the lived experience.
ResultsA total of 78 full-time team members were recruited and successfully executed over 1200 manoeuvres over an eight-week period. Our survey suggests the majority felt valued and expressed pride and willingness to participate again should the need arise.
ConclusionThe rapid establishment and deployment of a dedicated prone positioning team may have contributed to both patient care and staff well-being. We provide insight and lessons that may be of value for future respiratory pandemics. Future work should explore objective clinical outcomes and long-term sustainability of such services.
The critical shortage of healthcare workers, particularly in rural areas, is a major barrier to quality care for non-communicable diseases (NCD) in low-income and middle-income countries. In this proof-of-concept study, we aimed to test a decentralised model for integrated diabetes and hypertension management in rural Bangladesh to improve accessibility and quality of care.
The study is a single-cohort proof-of-concept study. The key interventions comprised shifting screening, routine monitoring and dispensing of medication refills from a doctor-managed subdistrict NCD clinic to non-physician health worker-managed village-level community clinics; a digital care coordination platform was developed for electronic health records, point-of-care support, referral and routine patient follow-up. The study was conducted in the Parbatipur subdistrict, Rangpur Division, Bangladesh.
A total of 624 participants were enrolled in the study (mean (SD) age, 59.5 (12.0); 65.1% female).
Changes in blood pressure and blood glucose control, patient retention and patient-visit volume at the NCD clinic and community clinics.
The proportion of patients with uncontrolled blood pressure reduced from 60% at baseline to 26% at the third month of follow-up, a 56% (incidence rate ratio 0.44; 95% CI 0.33 to 0.57) reduction after adjustment for covariates. The proportion of patients with uncontrolled blood glucose decreased from 74% to 43% at the third month of follow-up. Attrition rates immediately after baseline and during the entire study period were 29.1% and 36.2%, respectively.
The proof-of-concept study highlights the potential for involving lower-level primary care facilities and non-physician health workers to rapidly expand much-needed services to patients with hypertension and diabetes in Bangladesh and in similar global settings. Further investigations are needed to evaluate the effectiveness of decentralised hypertension and diabetes care.
The English National Health Service (NHS) Diabetic Eye Screening Programme (DESP) performs around 2.3 million eye screening appointments annually, generating approximately 13 million retinal images that are graded by humans for the presence or severity of diabetic retinopathy. Previous research has shown that automated retinal image analysis systems, including artificial intelligence (AI), can identify images with no disease from those with diabetic retinopathy as safely and effectively as human graders, and could significantly reduce the workload for human graders. Some algorithms can also determine the level of severity of the retinopathy with similar performance to humans. There is a need to examine perceptions and concerns surrounding AI-assisted eye-screening among people living with diabetes and NHS staff, if AI was to be introduced into the DESP, to identify factors that may influence acceptance of this technology.
People living with diabetes and staff from the North East London (NEL) NHS DESP were invited to participate in two respective focus groups to codesign two online surveys exploring their perceptions and concerns around the potential introduction of AI-assisted screening.
Focus group participants were representative of the local population in terms of ages and ethnicity. Participants’ feedback was taken into consideration to update surveys which were circulated for further feedback. Surveys will be piloted at the NEL DESP and followed by semistructured interviews to assess accessibility, usability and to validate the surveys.
Validated surveys will be distributed by other NHS DESP sites, and also via patient groups on social media, relevant charities and the British Association of Retinal Screeners. Post-survey evaluative interviews will be undertaken among those who consent to participate in further research.
Ethical approval has been obtained by the NHS Research Ethics Committee (IRAS ID: 316631). Survey results will be shared and discussed with focus groups to facilitate preparation of findings for publication and to inform codesign of outreach activities to address concerns and perceptions identified.
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