Evaluating the impact of a UK recovery college on mental well-being: pre- and post-intervention study.

BACKGROUND: Recovery colleges provide personalised educational mental health support for people who self-refer. The research evidence supporting them is growing, with key components and the positive experiences of attendees reported. However, the quantitative outcome evidence and impact on economic outcomes is limited. AIMS: To evaluate the impact of attending a UK recovery college for students who receive a full educational intervention. METHOD: This is a pre- and post-intervention study, with predominantly quantitative methods. Participants recruited over an 18-month period (01.2020-07.2021) completed self-reported well-being (Short Warwick-Edinburgh Mental Wellbeing Scale (SWEMWBS)) and recovery (Process of Recovery (QPR)) surveys, and provided details and evidence of employment and educational status. Descriptive statistics for baseline data and Shapiro-Wilk, Wilcoxon signed-rank and paired t-tests were used to compare pre- and post-intervention scores, with Hedges' g-statistic as a measure of effect size. Medical records were reviewed and a brief qualitative assessment of changes reported by students was conducted. RESULTS: Of 101 student research participants, 84 completed the intervention. Well-being (mean SWEMWBS scores 17.3 and 21.9; n = 80) and recovery (mean QPR scores 27.2 and 38.8; n = 75) improved significantly (P < 0.001; Hedges' g of 1.08 and 1.03). The number of economically inactive students reduced from 53 (69%) to 19 (24.4%). No research participants were referred for specialist mental health support while students. 'Within-self' and 'practical' changes were described by students following the intervention. CONCLUSIONS: Findings detail the largest self-reported pre-post data-set for students attending a recovery college, and the first data detailing outcomes of remote delivery of a recovery college.

Acute Kidney Injury in Primary Care: A Review of Patient Follow-Up, Mortality, and Hospital Admissions following the Introduction of an AKI Alert System.

BACKGROUND/AIMS: In February 2017, our laboratory implemented an electronic AKI flagging system for primary care using the NHS England AKI detection algorithm. Our study investigated the impact on patient follow-up, hospital admission, length of stay, and mortality. METHODS: Primary care results March 2017-February 2018 with an AKI test code were downloaded from the pathology computer. RESULTS: Over 12 months, 1,784 AKI episodes were identified; 81.3% AKI1, 11.3%, AKI2, and 7.5% AKI3. A repeat creatinine was requested within 14 days on 55% AKI1s, 84% AKI2s, and 86% AKI3s. Primary care took the repeat sample in 73.2% AKI1s and 56.7% AKI2s and acute hospital locations for 47.4% AKI3s. Median time to hospital admission was 34 days for AKI1, 6 for AKI2, and 1 for AKI3 (p < 0.05). Length of stay was found to be 1, 2, and 4 days for AKI 1/2/3, respectively (p < 0.05). The 90-day mortality for admitted patients was 15, 18, and 21% for AKI 1/2/3, respectively (p = 0.180). The 90-day mortality for the non-admitted patients was 4, 9, and 50% for AKI 1/2/3, respectively (p < 0.05). AKI patient outcome data pre versus post the start of the AKI flag system were compared. A statistically significant reduction was found in the median length of stay for AKI1 and AKI3 and in mortality for AKI1 and AKI3 patients and for all AKIs as a whole. A further analysis was performed to take into account the difference in pre- and post-alert populations. Mortality overall was significantly improved (p < 0.001), and length of stay was reduced in AKI3 patients (p = 0.048). DISCUSSION/CONCLUSION: Our study demonstrates that an electronic AKI warning alert system for primary care appears to be associated with a beneficial impact on patient management and outcome.

Use of Simple Telemetry to Reduce the Health Impacts of Fuel Poverty and Living in Cold Homes.

INTRODUCTION: In Great Britain, roughly half of people with at least one long-standing illness (LSI) live in low-income households. Lower-income households are at risk of fuel poverty and living in a colder house, which can worsen certain health conditions, causing related morbidity and mortality. This pilot study aimed to assess whether raising occupants' awareness of indoor temperatures in the home could initiate improved health and well-being among such vulnerable residents. METHODS: Thermometers were placed inside a manufactured bamboo brooch to be worn or placed within homes during the winter of 2016/17. These devices were supplied to households (n = 34) already assisted by Community Energy Plus, which is a private social enterprise in Cornwall, United Kingdom (UK), using initiatives aimed at maintaining "healthy homes". Questionnaires were supplied to households before devices were supplied, and then again at the end of a three-month period, with further questions asked when devices were collected. Temperatures were recorded automatically every half-hour and used to draw inference from questionnaire responses, particularly around health and well-being. RESULTS: Questionnaires were completed by 22 households. Throughout the winter, those declaring the poorest health when supplied with devices maintained homes at a higher average temperature. There were also indications that those with raised awareness of interior temperatures sought fewer casual medicines. CONCLUSION: Simple telemetry could play a role in the management of chronic health conditions in winter, helping healthcare systems become more sustainable. The need for higher indoor temperatures among people with an LSI highlights the need to consider this approach alongside more sustainable household energy-efficiency improvements. A larger study is needed to explore this further and quantify the cost benefit of this approach.

Identifying on admission patients likely to develop acute kidney injury in hospital.

BACKGROUND: The incidence of Acute Kidney Injury (AKI) continues to increase in the UK, with associated mortality rates remaining significant. Approximately one fifth of hospital admissions are associated with AKI and approximately a third of patients with AKI in hospital develop AKI during their time in hospital. A fifth of these cases are considered avoidable. Early risk detection remains key to decreasing AKI in hospitals, where sub-optimal care was noted for half of patients who developed AKI. METHODS: Electronic anonymised data for adults admitted into the Royal Cornwall Hospitals Trust (RCHT) between 18th March and 31st December 2015 was trimmed to that collected within the first 24 h of hospitalisation. These datasets were split according to three separate time periods: data used for training the Takagi-Sugeno Fuzzy Logic Systems (FLS) and the multivariable logistic regression (MLR) models; data used for testing; and data from a later patient spell used for validation. Three fuzzy logic models and three MLR models were developed to link characteristics of patients diagnosed with a maximum stage AKI within 7 days of admission: the first models to identify any AKI Stage (FLS I, MLR I), the second for patterns of AKI Stage 2 or 3 (FLS II, MLR II), and the third to identify AKI Stage 3 (FLS III, MLR III). Model accuracy is expressed by area under the curve (AUC). RESULTS: Accuracy for each model during internal validation was: FLS I and MLR I (AUC 0.70, 95% CI: 0.64-0.77); FLS II (AUC 0.77, 95% CI: 0.69-0.85) and MLR II (AUC 0.74, 95% CI: 0.65-0.83); FLS III and MLR III (AUC 0.95, 95% CI: 0.92-0.98). CONCLUSIONS: FLS II and FLS III (and the respective MLR models) can identify with a high level of accuracy patients at high risk of developing AKI in hospital. These two models cannot be properly assessed against prior studies as this is the first attempt at quantifying the risk of developing specific Stages of AKI for a broad cohort of both medical and surgical inpatients. FLS I and MLR I performance is comparable to other existing models.

Developing a local antimicrobial resistance action plan: the Cornwall One Health Antimicrobial Resistance Group.

Objectives: The UK Five Year Antimicrobial Resistance (AMR) Strategy was published in September 2013 and recommended a One Health approach emphasizing the importance of collaboration to tackle AMR. We describe the inauguration of what we believe to be the first regional One Health group established in the UK. The purpose of the group was to ensure the implementation of a coordinated Cornwall-wide response to the UK AMR Strategy and we describe the outputs of the group to date. Methods: The Cornwall Antimicrobial Resistance Group was set up as a sub-group of the Health & Wellbeing Board's Health Protection Committee. Stakeholders reviewed the key objectives set out within the Five Year AMR strategy, identified local priorities and existing work streams within Cornwall, and completed a gap analysis. The annual work plan was developed from the gap analysis and provided a foundation for improved coordination of One Health antimicrobial stewardship (AMS) activity in Cornwall. Results: To date, outputs from the group can be arranged under the following themes: education and engagement with the public; education and engagement with healthcare workers and veterinarians; and a comprehensive AMS programme for all sectors. The group continues to grow in size with wider stakeholder engagement and increased variety of work streams. Conclusions: This unique group facilitates discussions across sectors, which has enabled the sharing of knowledge, ideas and resources, stimulated local AMS initiatives, and ensured a platform for the development of future AMR and AMS work.

Investigation of liver dysfunction: who should we test for hepatitis E?

AIM: Hepatitis E virus (HEV) is endemic in developed countries, but unrecognized infection is common. Many national guidelines now recommend HEV testing in patients with acute hepatitis irrespective of travel history. The biochemical definition of 'hepatitis' that best predicts HEV infection has not been established. This study aimed to determine parameters of liver biochemistry that should prompt testing for acute HEV. METHODS: This was a retrospective study of serial liver function tests (LFTs) in cases of acute HEV (n=74) and three comparator groups: common bile duct stones (CBD, n=87), drug-induced liver injury (DILI, n=69) and patients testing negative for HEV (n=530). To identify the most discriminating parameters, LFTs from HEV cases, CBD and DILI were compared. Optimal LFT cutoffs for HEV testing were determined from HEV true positives and HEV true negatives using receiver operating characteristic curve analysis. RESULTS: Compared with CBD and DILI, HEV cases had a significantly higher maximum alanine aminotransferase (ALT) (P<0.001) and ALT/alkaline phosphatase (ALKP) ratio (P<0.001). For HEV cases/patients testing negative for HEV, area under receiver operating characteristic curve was 0.805 for ALT (P<0.001) and 0.749 for the ALT/ALKP ratio (P<0.001). Using an ALT of at least 300 IU/l to prompt HEV testing has a sensitivity of 98.6% and a specificity of 30.3% compared with an ALT/ALKP ratio higher than or equal to 2 (sensitivity 100%, specificity 9.4%). CONCLUSION: Patients with ALT higher than or equal to 300 IU/l should be tested for HEV. This is simple, detects nearly all cases and requires fewer samples to be tested than an ALT/ALKP ratio higher than or equal to 2. Where clinically indicated, patients with an ALT less than 300 IU/l should also be tested, particularly if HEV-associated neurological injury is suspected.

A cost-minimization analysis of first intention laparoscopic compared to open right hemicolectomy for colon cancer.

BACKGROUND: The morbidity, mortality and survival following a laparoscopic right hemicolectomy for colon cancer are equivalent to an open operation. However, the cost of a longer operating time and consumables may offset savings from a shorter length of stay (LOS). A cost minimization study was undertaken to compare the relative costs. METHODS: A retrospective cohort study of consecutive elective right hemicolectomies for colon cancer performed over 5 years by two teams. One team performed an open operation (OG), the other intended to perform all operations laparoscopically (LG). Clinical outcomes and relative costs were evaluated. Results expressed as mean ± SEM. RESULTS: There were 58 patients in the open group and 56 in the first intention laparoscopic group, of which 77% were completed laparoscopically. There was no difference in age, gender or cancer stage. The complications, mortality and 5-year survival were similar. Anaesthetic (LG = 63 ± 3, OG = 62 ± 2 min) and surgical times (LG = 144 ± 8, OG = 143 ± 5 min) were similar. Consumables cost €571 more and the total theatre cost was €643 ± 256 higher in the laparoscopic group compared with the open group (p = 0.01). The LOS in the laparoscopic group (4.6 ± 0.5 days) was less than in the open group (8.3 ± 1 days, p < 0.01) saving €1960 ± 636 per patient. Overall, first intention laparoscopic right hemicolectomies saved €1316 ± 733 per patient. A probability sensitivity analysis indicated a 62% probability that a laparoscopic right hemicolectomy was cheaper than an open operation. CONCLUSION: Laparoscopic right hemicolectomy is oncologically equivalent but less costly and should be considered the procedure of choice for right-sided colon cancer unless contraindicated.

The impact of BMI on surgical complications and outcomes in endometrial cancer surgery--an institutional study and systematic review of the literature.

OBJECTIVES: We aimed to evaluate the association between body mass index (BMI), perioperative complications and outcomes in endometrial cancer (EC) patients at our institution. In addition, we performed a systematic review to compare our results to the literature. METHODS: This was a retrospective study of surgically managed EC patients between January 2006 and January 2015. Patient characteristics, surgical complications and intra- and postoperative outcomes were evaluated across BMI groups; BMI <30kg/m(2), BMI ≥30kg/m(2) and BMI ≥40kg/m(2). The systematic review was performed according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. RESULTS: In total, we identified 627 women of which 514 were included; 249 women had a BMI of <30kg/m(2), 195 women had a BMI of 30-39.9kg/m(2), and 70 women were morbidly obese (BMI ≥40kg/m(2)). Obese women (BMI ≥30kg/m(2)) had significantly more postoperative surgical complications, including wound complications and antibiotics use, which was confirmed by the systematic review. The increase in complications mainly occurred in open surgery and morbidly obese patients were at highest risk. Obesity did not impact other outcomes including 30-day mortality. CONCLUSION: Obesity is associated with an increased risk of surgical morbidity in EC patients, and is most profound in open surgery and among the morbidly obese. Laparoscopic surgery may well prevent the majority of postoperative complications in this group of patients, and should therefore be the favoured approach.

Body mass index, physical activity and quality of life of ovarian cancer survivors: time to get moving?

OBJECTIVE: To evaluate the association between body mass index (BMI), physical activity (PA) and the quality of life (QoL) of ovarian cancer survivors. METHODS: We performed a two-centre cross-sectional study of women who had been treated for ovarian cancer between January 2007 and December 2014 at the Royal Cornwall Hospital Trust and the Plymouth Hospitals NHS Trust. QoL was assessed using the EORTC QLQ-C30 and QLQ-OV28 questionnaires, and PA using the Godin Leisure Time Exercise questionnaire. RESULTS: In total, 293 ovarian cancer survivors were invited to participate, of which 209 women (71.3%) responded. Thirty-five percent of women were overweight and 18% were obese, whilst only 21% met recommendations for PA. Obesity was associated with significantly poorer global QoL, physical, cognitive and social functioning, a poorer body image and more symptomatology. Sedentary behaviour was associated with poorer QoL scores including global QoL, physical, role, social and sexual functioning. After adjustment, BMI and PA both remained independently associated with QoL scores. CONCLUSION: Obesity and inactivity are associated with poorer QoL among ovarian cancer survivors. Future interventions promoting PA and weight loss should be evaluated as possible means to improve the QoL of this population.

Mainstreaming carbon management in healthcare systems: a bottom-up modeling approach.

Increasing greenhouse gas emissions threaten human health and the environment. In response, healthcare managers face significant challenges in balancing operational decisions about patient care with carbon mitigation targets. We explore a bottom-up modeling framework to aid in the decision-making for both carbon and cost in healthcare, using data from a case study in Cornwall, UK. A model was built and run for secondary healthcare, specifically outpatient clinics, theater lists, beds, and diagnostic facilities. Five scenarios were tested: business-as-usual; service expansion; site closure; water temperature reduction; and theater optimization. The estimated emissions from secondary healthcare in Cornwall ran to 5787 T CO(2)eq with patient travel adding 2215 T CO(2)eq. Closing selected sites would have reduced this by 4% (261 T CO(2)eq), a reduction less than the resulting increases in patient transport emissions. Reducing hot water temperatures by 5 °C and improving theater usage would lower the footprint by 0.7% (44 T CO(2)eq) and 0.08% (5 T CO(2)eq), respectively. We consider bottom-up models important tools in the process of estimating and modeling the carbon footprint of healthcare. For the carbon reduction targets of the healthcare sector to be met, the use of these bottom-up models in decision making and forward planning is pivotal.