Digital inclusion (which includes skills, accessibility and connectivity to the internet and digital devices) is a ‘super social determinant of health’ because it affects many aspects of life that influence health. Older people are especially vulnerable to digital exclusion. Existing digital inclusion interventions are commonly offered opportunistically to people who come into contact with services, or in specific locations. The lack of systematic identification of need unintentionally excludes older people who may be most in need of support, and that support is not addressing their needs.
This multi-method project includes six workstreams: (1) A survey of people aged 65+ to ask about digital use and engagement. Survey data will be used to develop a model that predicts digital exclusion from data available in primary care records. (2) Testing, via a further survey, the external validity of the model to identify those who are digitally excluded. (3) Interviews with community service providers to identify, understand and define the components of existing digital inclusion services for older people. Concurrently, a rapid review of the literature will identify evidence for interventions aimed at supporting digitally excluded adults aged 65+. (4) Interviews with people aged 65+ representing a range of digital use will explore factors from the COM-B model that influence digital behaviours—their capability (C), opportunity (O) and motivation (M) relating to digital engagement. Analysis outputs will identify the intersectional nature of barriers or facilitators to digital inclusion. (5) Co-production workshops with older people and community service providers will identify key components of interventions that are required to address digital exclusion. Components will be mapped against existing interventions, and the ‘best fit’ intervention(s) refined. An implementation plan will be developed in parallel. (6) Feasibility testing of the refined intervention(s) to assess acceptability and obtain feedback on content and delivery mechanisms.
This study was approved by the Yorkshire & The Humber - Bradford Leeds Research Ethics Committee on 23 October 2023 (ref. 23/YH/0234). Findings will be disseminated in academic journals and shared at webinars, seminars, conferences and events arranged by organisations operating across the digital inclusion and older people fields.
Cancer and its treatment can negatively impact physical function, general well-being and quality of life. An evidence-based strategy to manage this is to prescribe exercise. One approach is to prescribe exercise prehabilitation to improve pretreatment health and function. However, current exercise prehabilitation programmes are under-researched, and the quality of their reporting has not been systematically assessed.
This review aimed to identify the following: the characteristics of prehabilitation exercise programmes; how intensity, physical function, patient-reported outcomes and treatment-related outcomes were measured; the quality of reporting and programme implementation.
Studies were eligible for inclusion if they reported a cancer prehabilitation exercise intervention, reported outcomes relating to physical function and patient-reported outcomes, and full-text copies were available in English.
PubMed, Mednar and Scopus were screened for studies from inception until 4 of April 2024.
Exercise characteristics were extracted and manually charted in Microsoft Excel using the Template for Intervention Description and Replication. The tool for the assessment of study quality and reporting in exercise (TESTEX) framework was used to assess study quality and intervention reporting.
1495 results were retrieved, 28 of which were included. Exercise sessions lasted a mean of 42.5±21.9 min and were completed 3.7±1.3 times per week. 22 studies implemented concurrent exercise, five prescribed aerobic, and one prescribed resistance. High-intensity exercise was prescribed in four studies, moderate-high in 12, seven prescribed moderate, three prescribed low-moderate, and one was low intensity. 10 studies prescribed exercise intensity using the Borg Rating of Perceived Exertion Scale, five prescribed heart rate (HR) zones, six used a set workload, and seven did not monitor intensity. A mean TESTEX score of 9.3±2.3 out of 15 was achieved. The lowest scoring criterion (n=3) related to the reporting of the exercise dose.
There was heterogeneity among studies regarding exercise intervention characteristics and measures of effectiveness. The overall quality of reporting was satisfactory, yet inconsistencies were apparent regarding quantifying and monitoring exercise dose, which limits the ability of researchers and clinicians to replicate, evaluate or scale cancer prehabilitation exercise interventions, impeding evidence-based practice. As such, to be able to optimise cancer prehabilitation exercise programmes, research must first focus on improving the quality of reporting and standardising outcome measures and methods of monitoring and prescribing exercise.
This observational cohort study explored lymphoedema development following a cancer diagnosis and whether demographic factors impacted the time to lymphoedema development. We identified cases through the Secure Anonymised Information Linkage (SAIL) Databank. We used cancer diagnostic codes to identify a cohort of six broad cancer ‘types’. We independently used lymphoedema diagnostic codes to identify a cohort who developed lymphoedema. We linked these two cohorts to develop a single cohort of cases and describe the number of cases who went on to develop lymphoedema after a cancer diagnosis, and the time to lymphoedema diagnosis. We used Cox regression models to calculate hazard ratios and produced survival curves to explore whether pre-defined factors (gender, age, deprivation, cancer type) had any impact on time to lymphoedema development. We identified 7538 cases of lymphoedema development after a cancer diagnosis, relating to 7279 people. There was considerable variation in the time to diagnosis, with a mean and standard deviation of 483.3 (701.8) days. Cancer type was the single most important factor in explaining time to lymphoedema diagnosis. Time to lymphoedema was shortest in breast cancer. A large number of breast cancer cases have undergone surgery, and this may account for the earlier development of lymphoedema. Consideration should be made of risk factors for lymphoedema development in order to allow for more targeted treatment plans that could improve health-related quality of life for patients.
To explore clinicians' and patients' perceptions of implementing evidence-based practice to improve clinical practice for preventing and managing surgical site infections within hospital acute care settings.
A convergent integrated mixed-methods systematic review using the Joanna Briggs Institute approach.
Included studies reported (i) acute care hospital clinicians' and patients' experiences and preferences for preventing and managing surgical site infections and (ii) barriers and facilitators to implementing surgical site infection prevention and management guidelines. The Mixed Methods Appraisal Tool and the Quality Improvement Minimum Quality Criteria Set were used for critical appraisal. Quantitative data was transformed into qualitised data, then thematically synthesised with qualitative data and coded all findings into themes. Clinicians' and patients' views were also compared.
English language peer-reviewed studies published from 2009 to March 2023 were identified from Medline, EMBASE, CINAHL, PsycINFO and Cochrane Central Library.
Thirty-seven studies (16 quantitative, 17 qualitative, 3 mixed-methods and 1 quality improvement) met the inclusion criteria. Five main themes represent key factors believed to influence the implementation of evidence-based surgical site infection prevention and management guidelines: (1) Intentional non-adherence to insufficiently detailed and outdated guidelines, (2) Knowledge deficits on evidence-based SSI care bring about inconsistent clinical practice, (3) Collaborative interdisciplinary and patient-provider relationship to enhance guideline uptake, (4) Infection surveillance to improve patient safety and quality of life and (5) Negative physical and psychological impacts on patients.
The five themes reflect a need for updated hospital guidelines as a medium to improve surgical site infection knowledge and ensure consistent and evidence-based clinical practice. This review also highlights the significance of interdisciplinary and patient-provider collaboration and infection surveillance to facilitate guideline uptake. The effectiveness of intervention bundles designed to improve these aspects of care will need to be evaluated in future research.
A future intervention bundle that includes (1) ensuring up-to-date hospital guidelines/policies; (2) fostering collaborative interdisciplinary teamwork culture between physicians, nurses, podiatrists, pharmacists and allied health professionals; (3) encouraging patient or carer involvement in shared decision-making and (4) implementing audit and feedback mechanism on infection surveillance is proposed to improve SSI prevention and management in acute care settings.
This paper followed the PRISMA 2020 checklist guideline for reporting systematic reviews.
This mixed-methods systematic review collates evidence of clinicians' and patients' experiences and preferences for preventing and managing surgical site infections. The inclusion of hospital patients' perspectives supports the development of patient-centred interventions.
Trial Registration: The review protocol is registered on the International Prospective Register of Systematic Reviews (PROSPERO 2021 CRD42021250885). Available at: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021250885