Vitreoretinal interface abnormalities in middle-aged adults with visual impairment in the UK Biobank study: prevalence, impact on visual acuity and associations

Objective: The aim of this study was to determine the prevalence of vitreoretinal interface abnormalities (VRIA), the degree of visual impairment and associations with VRIA among adults, aged 40–69 years, in the UK Biobank study. Methods and analysis: Colour fundus photographs and spectral domain optical coherence tomography images were graded for 25% of the 8359 UK Biobank participants with mild visual impairment or worse (LogMAR >0.3 or Snellen <6/12) in at least one eye. The prevalence and contribution of VRIA to visual impairment was determined and multinomial logistic regression models were used to investigate association with known risk factors and other predetermined socioeconomic, biometric, lifestyle and medical variables for cases and matched controls. Results: The minimum prevalence of any VRIA was 17.6% and 8.1% in the eyes with and without visual impairment, respectively. VRIA were identified as the primary cause of visual impairment in 3.6% of eyes. Although epiretinal membrane and vitreomacular traction were the most common VRIA, the degree of visual impairment was typically milder with these than with other VRIA. Visual impairment with a VRIA was positively associated with increasing age (relative risk ratio (RRR) 1.22 (95% CI 1.07 to 1.40)), female gender (RRR 1.28; 1.08 to 1.52) and Asian or Asian British ethnicity (RRR 1.60; 1.10 to 2.32). Conclusions: VRIA are common in middle-aged adults in the UK Biobank study, especially in eyes with visual impairment. VRIA were considered to be the primary cause of visual impairment in 3.6% of all eyes with visual impairment, although there was variation in the degree of visual impairment for each type of VRIA

Are differences in travel time or distance to healthcare for adults in global north countries associated with an impact on health outcomes? A systematic review

Objectives: To investigate whether there is an association between differences in travel time/ travel distance to healthcare services and patients’ health outcomes and assimilate the methodologies used to measure this. Design: Systematic Review. We searched MEDLINE, Embase, Web of Science, Transport database, HMIC, and EBM-Reviews for studies up to 7th September 2016. Studies were excluded that included children (including maternity), emergency medical travel, or countries classed as being in the global south. Settings: A wide range of settings within primary and secondary care (these were not restricted in the search) Results: One hundred and eight studies met the inclusion criteria. The results were mixed. Seventy seven percent of the included studies identified evidence of a distance decay association, whereby patients living further away from healthcare facilities they needed to attend had worse health outcomes (e.g. survival rates, length of stay in hospital, non-attendance at follow-up) than those that lived closer. Six of the studies identified the reverse (a distance bias effect) whereby patients living at a greater distance had better health outcomes. The remaining 19 studies found no relationship. There was a large variation in the data available to the studies on the patients’ geographical locations and the healthcare facilities attended and the methods used to calculate travel times and distances were not consistent across studies. Conclusions: The review observed that a relationship between travelling further and having worse health outcomes cannot be ruled out and should be considered within the healthcare services location debate

Implementation of influenza point-of-care-testing and patient-cohorting during a high-incidence season: a retrospective analysis of impact on infection prevention and control and clinical outcomes.

BACKGROUND: During high-incidence influenza seasons, a robust infection prevention and control policy is imperative to reduce nosocomial transmission of influenza. AIM: To assess the impact of Emergency Department (ED) influenza point-of-care-testing (POCT) and influenza-ward patient-cohorting on infection prevention and control and clinical outcomes. METHODS: Influenza POCT was operational in our adult ED from 21st January 2018 and an influenza-ward from 25th January 2018. A retrospective 'before-after' analysis was performed with pre-intervention defined as 1st November 2017-20th January 2018 and post-intervention 21st January-30th April 2018. Primary outcome was rate of hospital-acquired influenza (HAI). Secondary outcomes included antiviral prescription and length of stay. The length of time inpatients remain influenza RNA detected by polymerase chain reaction (PCR) was also analysed

Assessing the impact of care farms on quality of life and offending: a pilot study among probation service users in England

OBJECTIVES: To assess the feasibility of conducting a cost-effectiveness study of using care farms (CFs) to improve quality of life and reduce reoffending among offenders undertaking community orders (COs). To pilot questionnaires to assess quality of life, connection to nature, lifestyle behaviours, health and social-care use. To assess recruitment and retention at 6 months and feasibility of data linkage to Police National Computer (PNC) reconvictions data and data held by probation services. DESIGN: Pilot study using questionnaires to assess quality of life, individually linked to police and probation data. SETTING: The pilot study was conducted in three probation service regions in England. Each site included a CF and at least one comparator CO project. CFs are working farms used with a range of clients, including offenders, for therapeutic purposes. The three CFs included one aquaponics and horticulture social enterprise, a religious charity focusing on horticulture and a family-run cattle farm. Comparator projects included sorting secondhand clothes and activities to address alcohol misuse and anger management. PARTICIPANTS: We recruited 134 adults (over 18) serving COs in England, 29% female. RESULTS: 52% of participants completed follow-up questionnaires. Privatisation of UK probation trusts in 2014 negatively impacted on recruitment and retention. Linkage to PNC data was a more successful means of follow-up, with 90% consenting to access their probation and PNC data. Collection of health and social-care costs and quality-adjusted life year derivation were feasible. Propensity score adjustment provided a viable comparison method despite differences between comparators. We found worse health and higher reoffending risk among CF participants due to allocation of challenging offenders to CFs, making risk of reoffending a confounder. CONCLUSIONS: Recruitment would be feasible in a more stable probation environment. Follow-up was challenging; however, assessing reconvictions from PNC data is feasible and a potential primary outcome for future studies

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Background: Electronic personal health records (ePHRs) are secure Web-based tools that enable individuals to access, manage, and share their medical records. England recently introduced a nationwide ePHR called Patient Online. As with ePHRs in other countries, adoption rates of Patient Online remain low. Understanding factors affecting patients’ ePHR use is important to increase adoption rates and improve the implementation success of ePHRs. Objective: This study aimed to examine factors associated with patients’ use of ePHRs in England. Methods: The unified theory of acceptance and use of technology was adapted to the use of ePHRs. To empirically examine the adapted model, a cross-sectional survey of a convenience sample was carried out in 4 general practices in West Yorkshire, England. Factors associated with the use of ePHRs were explored using structural equation modeling. Results: Of 800 eligible patients invited to take part in the survey, 624 (78.0%) returned a valid questionnaire. Behavioral intention (BI) was significantly influenced by performance expectancy (PE; beta=.57, P<.001), effort expectancy (EE; beta=.16, P<.001), and perceived privacy and security (PPS; beta=.24, P<.001). The path from social influence to BI was not significant (beta=.03, P=.18). Facilitating conditions (FC) and BI significantly influenced use behavior (UB; beta=.25, P<.001 and beta=.53, P<.001, respectively). PE significantly mediated the effect of EE and PPS on BI (beta=.19, P<.001 and beta=.28, P=.001, respectively). Age significantly moderated 3 paths: PE→BI, EE→BI, and FC→UB. Sex significantly moderated only the relationship between PE and BI. A total of 2 paths were significantly moderated by education and internet access: EE→BI and FC→UB. Income moderated the relationship between FC and UB. The adapted model accounted for 51% of the variance in PE, 76% of the variance in BI, and 48% of the variance in UB. Conclusions: This study identified the main factors that affect patients’ use of ePHRs in England, which should be taken into account for the successful implementation of these systems. For example, developers of ePHRs should involve patients in the process of designing the system to consider functions and features that fit patients’ preferences and skills to ensure systems are useful and easy to use. The proposed model accounted for 48% of the variance in UB, indicating the existence of other, as yet unidentified, factors that influence the adoption of ePHRs. Future studies should confirm the effect of the factors included in this model and identify additional factors

Factors that affect the use of electronic personal health records among patients: A systematic review

Background: Electronic personal health records (ePHRs) are web-based tools that enable patients to access parts of their medical records and other services. In spite of the potential benefits of using ePHRs, their adoption rates remain very low. The lack of use of ePHRs among patients leads to implementation failures of these systems. Many studies have been conducted to examine the factors that influence patients’ use of ePHRs, and they need to be synthesised in a meaningful way.ObjectiveThe current study aimed to systematically review the evidence regarding factors that influence patients’ use of ePHRs. Methods: The search included: 42 bibliographic databases (e.g. Medline, Embase, CINHAL, and PsycINFO), hand searching, checking reference lists of the included studies and relevant reviews, contacting experts, and searching two general web engines. Study selection, data extraction, and study quality assessment were carried out by two reviewers independently. The quality of studies was appraised using the Mixed Methods Appraisal Tool. The extracted data were synthesised narratively according to the outcome: intention to use, subjective measures of use, and objective measures of use. The identified factors were categorised into groups based on Or and Karsh’s conceptual framework. Results: Of 5225 citations retrieved, 97 studies were relevant to this review. These studies examined more than 150 different factors: 59 related to intention to use, 52 regarding subjectively-measured use, and 105 related to objectively-measured use. The current review was able to draw definitive conclusions regarding the effect of only 18 factors. Of these, only three factors have been investigated in connection with every outcome, which are: perceived usefulness, privacy and security concerns, and internet access. Conclusion: Of the numerous factors examined by the included studies, this review concluded the effect of 18 factors: 13 personal factors (e.g. gender, ethnicity, and income), four human-technology factors (e.g. perceived usefulness and ease of use), and one organisational factor (facilitating conditions). These factors should be taken into account by stakeholders for the successful implementation of these systems. For example, patients should be assured that the system is secure and no one can access their records without their permission in order to decrease their concerns about the privacy and security. Further, advertising campaigns should be carried out to increase patients’ awareness of the system. More studies are needed to conclude the effect of other factors. In addition, researchers should conduct more theory-based longitudinal studies for assessing factors affecting initial use and continuing use of ePHRs among patients

Quality indicators and performance measures for prison healthcare: a scoping review

\ua9 2022, The Author(s). Background: Internationally, people in prison should receive a standard of healthcare provision equivalent to people living in the community. Yet efforts to assess the quality of healthcare through the use of quality indicators or performance measures have been much more widely reported in the community than in the prison setting. This review aims to provide an overview of research undertaken to develop quality indicators suitable for prison healthcare. Methods: An international scoping review of articles published in English was conducted between 2004 and 2021. Searches of six electronic databases (MEDLINE, CINAHL, Scopus, Embase, PsycInfo and Criminal Justice Abstracts) were supplemented with journal searches, author searches and forwards and backwards citation tracking. Results: Twelve articles were included in the review, all of which were from the United States. Quality indicator selection processes varied in rigour, and there was no evidence of patient involvement in consultation activities. Selected indicators predominantly measured healthcare processes rather than health outcomes or healthcare structure. Difficulties identified in developing performance measures for the prison setting included resource constraints, data system functionality, and the comparability of the prison population to the non-incarcerated population. Conclusions: Selecting performance measures for healthcare that are evidence-based, relevant to the population and feasible requires rigorous and transparent processes. Balanced sets of indicators for prison healthcare need to reflect prison population trends, be operable within data systems and be aligned with equivalence principles. More effort needs to be made to meaningfully engage people with lived experience in stakeholder consultations on prison healthcare quality. Monitoring healthcare structure, processes and outcomes in prison settings will provide evidence to improve care quality with the aim of reducing health inequalities experienced by people living in prison

Specialist palliative care support is associated with improved pain relief at home during the last 3 months of life in patients with advanced disease: analysis of 5-year data from the national survey of bereaved people (VOICES)

Background: Studies have shown that more than half of patients with advanced progressive diseases approaching the end of life report pain and that pain relief for these patients is poorest at home compared to other care settings such as acute care facilities and hospice. Although home is the most common preferred place of death, the majority of deaths occur outside the home. Specialist palliative care is associated with improved quality of life but systematic reviews of RCTs have failed to show a consistent association with better pain relief. The aim of this study was to examine the factors associated with good pain relief at home in the last three months of life for people with advanced progressive disease. Methods: Data were obtained from the National Bereavement Survey in England, a cross-sectional post-bereavement survey of a stratified random sample of 246,763 deaths which were registered in England from 2011 to 2015. From 110,311 completed surveys (45% response rate), the analysis was based on individual-level data from 43,509 decedents who were cared for at home before death. Results: Decedents who experienced good pain relief at home before death were significantly more likely to have received specialist palliative care (adjusted OR = 2.67; 95% CI, 2.62 to 2.72) and to have a recorded preferred place of death (adjusted OR = 1.87; 95% CI, 1.84 to 1.90) compared to those who did not. Good pain relief was more likely to be reported by a spouse or partner of the decedents compared to reports from their son or daughter (adjusted OR = 1.50, 95% CI, 1.47 to 1.53). Conclusion: This study indicates that patients at home who are approaching the end of life experience substantially better pain relief if they receive specialist palliative care and their preferred place of death is recorded regardless of their disease aetiology

The quality of prison primary care: cross-sectional cluster-level analyses of prison healthcare data in the North of England

\ua9 2023 The Author(s). Background: Prisoners have significant health needs, are relatively high users of healthcare, and often die prematurely. Strong primary care systems are associated with better population health outcomes. We investigated the quality of primary care delivered to prisoners. Methods: We assessed achievement against 30 quality indicators spanning different domains of care in 13 prisons in the North of England. We conducted repeated cross-sectional analyses of routinely recorded data from electronic health records over 2017–20. Multi-level mixed effects logistic regression models explored associations between indicator achievement and prison and prisoner characteristics. Findings: Achievement varied markedly between indicators, prisons and over time. Achieved processes of care ranged from 1% for annual epilepsy reviews to 94% for blood pressure checks in diabetes. Intermediate outcomes of care ranged from only 0.2% of people with epilepsy being seizure-free in the preceding year to 34% with diabetes having sufficient blood pressure control. Achievement improved over three years for 11 indicators and worsened for six, including declining antipsychotic monitoring and rising opioid prescribing. Achievement varied between prisons, e.g., 1.93-fold for gabapentinoid prescribing without coded neuropathic pain (odds ratio [OR] range 0.67–1.29) and 169-fold for dried blood spot testing (OR range 0.05–8.45). Shorter lengths of stay were frequently associated with lower achievement. Ethnicity was associated with some indicators achievement, although the associations differed (both positive and negative) with indicators. Interpretation: We found substantial scope for improvement and marked variations in quality, which were largely unaltered after adjustment for prison and prisoner characteristics. Funding: National Institute for Health and Care Research Health and Social Care and Delivery Research Programme: 17/05/26

Understanding and improving the quality of primary care for people in prison: a mixed-methods study

\ua9 2024 Bellass et al. Background: People in prison are generally in poorer health than their peers in the community, often living with chronic illness and multimorbidity. Healthcare research in prisons has largely focused on specific problems, such as substance use; less attention has been paid to conditions routinely managed in primary care, such as diabetes or hypertension. It is important to understand how primary care in prisons is currently delivered in the United Kingdom and how it can be improved, in order to reduce health inequalities. Objective: To understand the quality of primary care in prison, including gaps and variations in care, in order to recommend how quality of prison health care can be improved. Design: A mixed-methods study with six interlinked work packages. Setting: Predominantly the North of England. Methods: Between August 2019 and June 2022, we undertook the following work packages: (1) International scoping review of prison healthcare quality indicators. (2) Stakeholder consensus process to identify United Kingdom focused prison healthcare quality indicators. (3) Qualitative interview study with 21 people who had been in prison and 22 prison healthcare staff. (4) Quantitative analysis of anonymised, routinely collected data derived from prison healthcare records (~ 25,000 records across 13 prisons). (5) Stakeholder deliberation process to identify interventions to improve prison health care. (6a) Secondary analysis of the qualitative data set, focusing on mental health and (6b) analysis of the quantitative data set, focusing on health care of three mental health subgroups Findings: Our scoping review found predominantly only papers from the United States of America and of variable rigour with the main finding being that performance measurement is very challenging in the prison healthcare setting. In collaboration with stakeholders, we prioritised, refined and applied a suite of 30 quality indicators across several healthcare domains. We found considerable scope for improvement in several indicators and wide variations in indicator achievement that could not be attributed to differences in prison population characteristics. Examples of indicators with scope for improvement included: diabetes care, medicines reconciliation and epilepsy review and control. Longer length of stay in prison was generally associated with higher achievement than shorter stays. Indicator achievement was generally low compared to that of community general practice. We found some encouraging trends and relatively good performance for a minority of indicators. Our qualitative interviews found that quality of health care is related to factors that exist at several levels but is heavily influenced by organisational factors, such as understaffing, leading to a reactive and sometimes crisisled service. Our stakeholder deliberations suggested opportunities for improvement, ideally drawing on data to assess and drive improvement. Our mental health work package found that coded mental illness had mixed associations with indicator achievement, while the interviews revealed that mental distress is viewed by many as an inevitable facet of imprisonment. Limitations: Our analyses of indicator achievement were limited by the quality and coverage of available data. Most study findings are localised to England so international applicability may differ. Conclusions: Marked variations in the quality of primary care in prisons are likely to be attributable to the local organisation and conditions of care delivery. Routinely collected data may offer a credible driver for change