Patterns and trends of medicinal poisoning substances: a population-based cohort study of injuries in 0-11 year old children from 1998-2018.

BACKGROUND: There have been sharp increases in antidepressant and opioid prescriptions over the last 10 years, as well as increased over-the-counter medicine availability. However, the impact on childhood medicinal poisonings rates, particularly by socioeconomic deprivation is unclear. This study reports population level medicinal poisoning substance patterns in England among children aged 0-11 years, helping inform safety advice and poisoning prevention interventions. METHODS: An open cohort study of 1,489,620 0-11 year olds was conducted from 1998 to 2018, using the Clinical Practice Research Datalink, to examine inpatient hospital admissions for poisoning. Incidence rates and adjusted incidence rate ratios (aIRR) were calculated for poisoning substance groups by age, sex, socio-economic deprivation and year. RESULTS: 3,685 medicinal poisoning hospital admissions were identified. The most common substances were paracetamol (33.2%), dependence/withdrawal risk drugs (DWRD - antidepressants, opioids, gabapentinoids, benzodiazepines) (13.5%) and other over-the-counter (OTC) analgesics/anti-common cold drugs (13.0%). Over the study period DWRD poisonings decreased 33% (aIRR 0.67, 95%CI 0.50-0.90 comparing 2013/14-2017/18 to 1998/99-2002/03), while paracetamol poisonings increased 43% (aIRR 1.43, 95%CI 1.20-1.70 for the same periods), with no change in incidence rates for other OTC drugs (aIRR 0.82, 95% CI 0.60-1.12) or all medications combined (aIRR 0.97, 95%CI 0.88-1.07). A gradient in poisonings by area-level socioeconomic deprivation was shown for all medications (aIRR 1.32, 95%CI 1.18-1.47 for most deprived compared to least deprived quintile), and DWRDs (aIRR 2.03, 95%CI 1.42-2.88 for 4th most deprived quintile and aIRR 1.88, 95%CI 1.32-2.66 for 5th most deprived quintile, compared to least deprived quintile), but not for paracetamol or other OTC drug poisonings. CONCLUSIONS: Poisonings from DWRDs decreased by 33%, while paracetamol poisonings increased by 43% during the study period. There was a gradient by area-level socioeconomic deprivation in prescribed medication poisonings, including drugs with withdrawal/dependence risk, but not OTC medication poisonings. Households in more socioeconomically deprived areas have the potential to benefit most from measures to improve safe storage of medicines and are likely to require targeted interventions providing education and safety equipment. In addition, universal promotion of the safe storage of OTC and prescribed medicines must be provided by prescribers, community pharmacies and other outlets of such medication.

Assessing the value of integrating national longitudinal shopping data into respiratory disease forecasting models.

The COVID-19 pandemic led to unparalleled pressure on healthcare services. Improved healthcare planning in relation to diseases affecting the respiratory system has consequently become a key concern. We investigated the value of integrating sales of non-prescription medications commonly bought for managing respiratory symptoms, to improve forecasting of weekly registered deaths from respiratory disease at local levels across England, by using over 2 billion transactions logged by a UK high street retailer from March 2016 to March 2020. We report the results from the novel AI (Artificial Intelligence) explainability variable importance tool Model Class Reliance implemented on the PADRUS model (Prediction of Amount of Deaths by Respiratory disease Using Sales). PADRUS is a machine learning model optimised to predict registered deaths from respiratory disease in 314 local authority areas across England through the integration of shopping sales data and focused on purchases of non-prescription medications. We found strong evidence that models incorporating sales data significantly out-perform other models that solely use variables traditionally associated with respiratory disease (e.g. sociodemographics and weather data). Accuracy gains are highest (increases in R2 (coefficient of determination) between 0.09 to 0.11) in periods of maximum risk to the general public. Results demonstrate the potential to utilise sales data to monitor population health with information at a high level of geographic granularity.

Using Shopping Data to Improve the Diagnosis of Ovarian Cancer: Computational Analysis of a Web-Based Survey.

BACKGROUND: Shopping data can be analyzed using machine learning techniques to study population health. It is unknown if the use of such methods can successfully investigate prediagnosis purchases linked to self-medication of symptoms of ovarian cancer. OBJECTIVE: The aims of this study were to gain new domain knowledge from women's experiences, understand how women's shopping behavior relates to their pathway to the diagnosis of ovarian cancer, and inform research on computational analysis of shopping data for population health. METHODS: A web-based survey on individuals' shopping patterns prior to an ovarian cancer diagnosis was analyzed to identify key knowledge about health care purchases. Logistic regression and random forest models were employed to statistically examine how products linked to potential symptoms related to presentation to health care and timing of diagnosis. RESULTS: Of the 101 women surveyed with ovarian cancer, 58.4% (59/101) bought nonprescription health care products for up to more than a year prior to diagnosis, including pain relief and abdominal products. General practitioner advice was the primary reason for the purchases (23/59, 39%), with 51% (30/59) occurring due to a participant's doctor believing their health problems were due to a condition other than ovarian cancer. Associations were shown between purchases made because a participant's doctor believing their health problems were due to a condition other than ovarian cancer and the following variables: health problems for longer than a year prior to diagnosis (odds ratio [OR] 7.33, 95% CI 1.58-33.97), buying health care products for more than 6 months to a year (OR 3.82, 95% CI 1.04-13.98) or for more than a year (OR 7.64, 95% CI 1.38-42.33), and the number of health care product types purchased (OR 1.54, 95% CI 1.13-2.11). Purchasing patterns are shown to be potentially predictive of a participant's doctor thinking their health problems were due to some condition other than ovarian cancer, with nested cross-validation of random forest classification models achieving an overall in-sample accuracy score of 89.1% and an out-of-sample score of 70.1%. CONCLUSIONS: Women in the survey were 7 times more likely to have had a duration of more than a year of health problems prior to a diagnosis of ovarian cancer if they were self-medicating based on advice from a doctor rather than having made the decision to self-medicate independently. Predictive modelling indicates that women in such situations, who are self-medicating because their doctor believes their health problems may be due to a condition other than ovarian cancer, exhibit distinct shopping behaviors that may be identifiable within purchasing data. Through exploratory research combining women sharing their behaviors prior to diagnosis and computational analysis of these data, this study demonstrates that women's shopping data could potentially be useful for early ovarian cancer detection.

Risk of Venous Thromboembolism With Gout Flares.

OBJECTIVE: Previous studies demonstrated that the risk of venous thromboembolism (VTE) is increased in patients with gout, but not whether there was a temporal association between gout flare and VTE. This study was undertaken to evaluate potential temporal associations between gout flare and VTE. METHODS: Data were obtained from electronic primary-care records from the UK's Clinical Practice Research Datalink, which links data from hospitalization and mortality registers. Using self-controlled case series analysis adjusted for season and age, we evaluated the temporal association between gout flare and VTE. The 90 days after primary-care consultation or hospitalization for gout flare was designated the exposed period. This was divided into three 30-day intervals. The baseline period was up to 2 years before the start of and up to 2 years after the end of the exposed period. The association between gout flare and VTE was measured using adjusted incidence rate ratios (IRRs) with 95% confidence intervals (95% CIs). RESULTS: In total, 314 patients met the inclusion criteria (age ≥18 years, incident gout, no presence of VTE or use of a primary-care anticoagulant prescription before the start of the pre-exposure period). Among the 314 patients, VTE incidence was significantly higher in the exposed period than in the baseline period (adjusted IRR 1.83, 95% CI 1.30-2.59). The adjusted IRR of VTE during the first 30 days after gout flare was 2.31 (95% CI 1.39-3.82) relative to the baseline period. No increase in the adjusted IRRs was observed in days 31-60 (adjusted IRR 1.49, 95% CI 0.79-2.81) and days 61-90 (adjusted IRR 1.67, 95% CI 0.91-3.06) relative to baseline. Results were consistent across sensitivity analyses. CONCLUSION: Among patients with gout, there was a transient increase in the rate of VTE within 30 days after primary-care consultation or hospitalization for gout flare.

Association Between Gout Flare and Subsequent Cardiovascular Events Among Patients With Gout.

Importance: Gout is associated with cardiovascular diseases. The temporal association between gout flares and cardiovascular events has not been investigated. Objective: To investigate whether there is a transient increase in risk of cardiovascular events after a recent gout flare. Design, Setting, and Participants: A retrospective observational study was conducted using electronic health records from the Clinical Practice Research Datalink in England between January 1, 1997, and December 31, 2020. A multivariable nested case-control study was performed among 62 574 patients with gout, and a self-controlled case series, adjusted for season and age, was performed among 1421 patients with gout flare and cardiovascular event. Exposures: Gout flares were ascertained using hospitalization, primary care outpatient, and prescription records. Main Outcomes and Measures: The primary outcome was a cardiovascular event, defined as an acute myocardial infarction or stroke. Association with recent prior gout flares was measured using adjusted odds ratios (ORs) with 95% CIs in a nested case-control study and adjusted incidence rate ratios (IRRs) with 95% CIs in a self-controlled case series. Results: Among patients with a new diagnosis of gout (mean age, 76.5 years; 69.3% men, 30.7% women), 10 475 patients with subsequent cardiovascular events were matched with 52 099 patients without cardiovascular events. Patients with cardiovascular events, compared with those who did not have cardiovascular events, had significantly higher odds of gout flare within the prior 0 to 60 days (204/10 475 [2.0%] vs 743/52 099 [1.4%]; adjusted OR, 1.93 [95% CI, 1.57-2.38]) and within the prior 61 to 120 days (170/10 475 [1.6%] vs 628/52 099 [1.2%]; adjusted OR, 1.57 [95% CI, 1.26-1.96]). There was no significant difference in the odds of gout flare within the prior 121 to 180 days (148/10 475 [1.4%] vs 662/52 099 [1.3%]; adjusted OR, 1.06 [95% CI, 0.84-1.34]). In the self-controlled case series (N = 1421), cardiovascular event rates per 1000 person-days were 2.49 (95% CI, 2.16-2.82) within days 0 to 60; 2.16 (95% CI, 1.85-2.47) within days 61 to 120; and 1.70 (95% CI, 1.42-1.98) within days 121 to 180 after a gout flare, compared with cardiovascular event rates of 1.32 (95% CI, 1.23-1.41) per 1000 person-days within the 150 days before or the 181 to 540 days after the gout flare. Compared with 150 days before or the 181 to 540 days after a gout flare, incidence rate differences for cardiovascular events were 1.17 (95% CI, 0.83-1.52) per 1000 person-days, and adjusted IRRs were 1.89 (95% CI, 1.54-2.30) within days 0 to 60; 0.84 (95% CI, 0.52-1.17) per 1000 person-days and 1.64 (95% CI, 1.45-1.86) within days 61 to 120; and 0.38 (95% CI, 0.09-0.67) per 1000 person-days and 1.29 (95% CI, 1.02-1.64) within days 121 to 180 after a gout flare. Conclusions and Relevance: Among individuals with gout, those who experienced a cardiovascular event, compared with those who did not experience such an event, had significantly higher odds of a recent gout flare in the preceding days. These findings suggest gout flares are associated with a transient increase in cardiovascular events following the flare.

Using patient experiences to evaluate care and expectations in lung cancer: analysis of the English Cancer Patient Experience Survey linked with the national cancer registry.

PURPOSE: Identification of unmet needs in person centred and supportive care could be limited by differences in experience across specific cancer populations. Using the experiences of people with lung cancer, we assess distinctions according to demographic and clinical characteristics. METHODS: The English Cancer Patient Experience Survey was linked to the national cancer registry. The primary outcome was experience of the lung cancer pathway when assessed in multi-question models developed with item response theory. Secondary outcomes were experience by treatment received and in separate dimensions of the care pathway: up to diagnosis, treatment information, and staff support. RESULTS: Responses from 15,967 adults with a lung cancer diagnosis between 2009 and 2015 were included. Positive experiences were more likely to be reported by people aged between 65 and 80 (adjusted coefficient 0.08, 95%CI 0.05;0.11), those living in the most deprived areas (adjusted coefficient 0.10, 95%CI 0.05;0.14), diagnosed at lung cancer stage IIA-B (adjusted coefficient 0.09, 95%CI 0.04;0.14), and those diagnosed through inpatient elective admissions (adjusted coefficient 0.17, 95%CI 0.07;0.28). Specific experiences differed across dimensions of care and within lung cancer treatment groups. CONCLUSIONS: Experiences differed according to gender and ethnicity, supporting previous observations in cancer. In contrast to previous studies, people with lung cancer were more likely to report positive pathway experiences at older ages, living in more deprived areas, or diagnosed after stage I, all frequently associated with worse clinical outcomes. The distinct observations in lung cancer specific analyses suggest potential unmet needs, such as in early stage disease and younger age groups.

Correction: A Direct-to-Public Peer Support Program (Big White Wall) Versus Web-Based Information to Aid the Self-management of Depression and Anxiety: Results and Challenges of an Automated Randomized Controlled Trial.

[This corrects the article DOI: 10.2196/23487.].

External validation of a model to predict women most at risk of postpartum venous thromboembolism: Maternity clot risk.

INTRODUCTION: Venous thromboembolism (VTE) is the leading cause of direct maternal mortality in high-income countries. We previously developed a risk prediction score for postpartum venous thromboembolism (VTE) in women without a previous VTE. In this paper, we provide further external validation and assess its performance across various groups of postpartum women from England. MATERIALS AND METHODS: Cohort study using primary and secondary care data covering England. We used data from QResearch comprising women with pregnancies ending in live birth or stillbirth recoded in Hospital Episodes Statistics between 2004 and 2015. Outcome was VTE in the 6 weeks postpartum. Our predictor variables included sociodemographic and lifestyle characteristics, pre-existing comorbidities, and pregnancy and delivery characteristics. RESULTS: Among 535,583 women with 700,185 deliveries, 549 VTE events were recorded (absolute risk of 7.8 VTE events per 10,000 deliveries). When we compared predicted probabilities of VTE for each woman from the original model with actual VTE events, we obtained a C-statistic of 0.67 (95% CI 0.65 to 0.70). However, our model slightly over-predicted VTE risk for the higher risk women (calibration slope = 0.84; 95% CI 0.74 to 0.94). Performance was similar across groups defined by calendar time, socioeconomic status, age group and geographical area. The score performed comparably with the existing algorithm used by the UK Royal College of Obstetrician and Gynaecologists. CONCLUSIONS: Our model enables flexibility in setting new treatment thresholds. Adopting it in clinical practice may help optimise use of low-molecular-weight heparin postpartum to maximise health gain by better targeting of high-risk groups.

Do working practices of cancer nurse specialists improve clinical outcomes? Retrospective cohort analysis from the English National Lung Cancer Audit.

BACKGROUND: Cancer nurse specialists are advanced practitioners who offer continuity of care and expert support for people diagnosed with specific cancers. Health Education England's Cancer Workforce Plan prioritises expansion of cancer nurse specialist numbers by 2021 as part of the Cancer Taskforce Strategy for England. OBJECTIVE: To assess whether working practices of advanced practice specialist nurses are associated with clinical outcomes for people with lung cancer. METHODS: Adults with non-small cell lung cancer followed from 30 days post-diagnosis in English secondary care were obtained from the English National Lung Cancer Audit, 2007 to 2011. A national survey of lung cancer nurse specialists provided information on self-reported working practices. Mortality and unplanned admissions from 30 days to 12 months post diagnosis were respectively analysed using Cox and Poisson regression. Outcomes were assessed according to patients' receipt of initial assessments by a lung cancer nurse specialist and according to trust-level reported working practices. Regression models were adjusted for individual sociodemographic and clinical characteristics, error adjusted for intracorrelations within regional cancer networks, and presented separately according to patients' treatment pathways (surgery, chemotherapy, radiotherapy, or no anti-cancer therapy). RESULTS: Data for 108,115 people with lung cancer were analysed and associations with mortality and unplanned admissions were infrequent. Among people receiving only radiotherapy, however, the hazard for death was 17% lower among those who received an assessment by a lung cancer nurse specialist, compared with no assessment (hazard ratio = 0.83, 95% confidence interval 0.73-0.94; p = 0.003). The hazard was also lower among those receiving surgery (hazard ratio = 0.91, 0.84-0.99; p = 0.028). Among those receiving radiotherapy, nurse specialists' reported confidence within multidisciplinary team settings was associated with a lower risk of death (hazard ratio = 0.88, 0.78-1.00; p = 0.049) and a lower rate of unplanned cancer-related admissions (incidence rate ratio = 0.83, 0.73-0.95; p = 0.007). Lung cancer nurse specialist assessments before/at diagnosis, were associated with a 5% lower rate of unplanned admissions, compared to when assessments occurred after diagnosis. CONCLUSION: The contribution of nurse specialist working practices was occasionally associated with better outcomes for people with lung cancer. These were not limited to a single treatment pathway, but do indicate discrete relationships within pathways. Our study provides initial measures of overall lung cancer nurse specialist working practices at trusts, however, more detailed studies with longitudinal measurement of lung cancer nurse specialist-patient interaction are needed to better ascertain impacts on long-term patient outcomes. The findings highlight opportunities for potential improvement in effectiveness of service and care management.

Is the English Cancer Patient Experience Survey representative? A comparative analysis with the National Lung Cancer Audit.

OBJECTIVES: Healthcare systems increasingly recognise the importance of service users' perspectives for improving care organisation and delivery. The English Cancer Patient Experience Survey (CPES) is carried out annually, however, its representativeness within cancer types is unknown. We have explored if the CPES results are representative of people with lung cancer. MATERIALS AND METHODS: We linked cancer registry data across multiple sources to assess how CPES represents sociodemographic and clinical characteristics of the National Lung Cancer Audit population, accounting for post-sampling mortality bias. Multivariable logistic regression was used to compare people included and not included in CPES. RESULTS: Of 240,375 people diagnosed (2009-2015), 15,967 (7 %) were included in CPES. Gender and ethnicity were reasonably represented, as were sociodemographic and clinical groupings, although more received anti-cancer treatment (96 % of CPES respondents vs. 56 % of patients nationally; adjusted odds ratio = 10.3, 95 % confidence interval 9.4-11.2 for any anti-cancer treatment) with chemotherapy most over-represented, followed by surgery and then radiotherapy. CPES under-represented older, more socioeconomically deprived, and certain clinical groups, including those with worse performance status, multiple comorbidities, and diagnosis via emergency presentation. CONCLUSION: CPES includes patients across the sociodemographic and clinical spectrum indicating its value for research and service planning. Unbalanced representation of incident lung cancer cases is a limitation that must be considered in context of using CPES findings to implement service changes. Although half the national lung cancer population who received no anti-cancer treatment do not have their experiences represented, the strength of this dataset is in providing detailed comparisons of patient experiences across different treatment groups.

Weight, height, and midupper arm circumference are associated with haemoglobin levels in adolescent girls living in rural India: A cross-sectional study.

We aimed to explore the association of physical parameters with haemoglobin (Hb) levels to test the hypothesis that impaired physical development is associated with anaemia. A cross-sectional survey study recruited adolescent girls (13 to 17 years) living in rural areas of Maharashtra state of India. Data were collected on physical parameters include height, weight, and midupper arm circumference (MUAC). Hb levels were measured using Sahli's haemometer. Linear regression was conducted to test the hypothesis. Data were collected from 1,010 girls on physical parameter and Hb levels. The majority of the adolescent girls were diagnosed with anaemia (87%). The regression analysis adjusted for age gave a significant association of Hb levels with all three variables (MUAC, weight, and height). Hb increased by 0.11 g/dl with an each centimetre of increase in MUAC (95% confidence interval, CI, [0.08, 0.15], P < .001). Each kilogram of increase in the body weight showed an increase in Hb levels (0.02 g dl, 95% CI [0.01, 0.03], P = .001). With an each centimetre of increase in height, Hb increased by 0.01 g dl (95% CI [0.00, 0.02], P = .022). There was a consistent association between three measures of somatic growth and anaemia in the study population. It is likely that life-course exposures from conception onwards contribute to this, and the public health implications are that preventing anaemia is a challenge that requires a multifaceted interventional approach. Understanding the importance of the timing of these life exposures will help design interventions that can achieve optimal results.

Risk of Severe Intraventricular Hemorrhage in the First Week of Life in Preterm Infants Transported Before 72 Hours of Age.

OBJECTIVES: Evaluate the risk of severe intraventricular hemorrhage, in the first week of life, in preterm infants undergoing early interhospital transport. DESIGN: Retrospective cohort study. SETTING: Tertiary neonatal centers of the Trent Perinatal Network in the United Kingdom. PATIENTS: Preterm infants less than 32 weeks gestation, who were either born within and remained at the tertiary neonatal center (inborn), or were transferred (transported) between centers in the first 72 hours of life. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Multivariable logistic regression models adjusting for key confounders were used to calculate odds ratios for intraventricular hemorrhage with 95% CIs for comparison of inborn and transported infants. Cranial ultrasound findings on day 7 of life. Secondary analyses were performed for antenatal steroid course and gestational age subgroups. A total of 1,047 preterm infants were included in the main analysis. Transported infants (n = 391) had a significantly higher risk of severe (grade III/IV) intraventricular hemorrhage compared with inborns (n = 656) (9.7% vs 5.8%; adjusted odds ratio, 1.69; 95% CI, 1.04-2.76), especially for infants born at less than 28 weeks gestation (adjusted odds ratio, 1.83; 95% CI, 1.03-3.21). Transported infants were less likely to receive a full antenatal steroid course (47.8% vs 64.3%; p < 0.001). A full antenatal steroid course significantly decreased the risk of severe intraventricular hemorrhage irrespective of transport status (odds ratio, 0.33; 95% CI, 0.2-0.55). However, transported infants less than 28 weeks gestation remained significantly more likely to develop a severe intraventricular hemorrhage despite a full antenatal steroid course (adjusted odds ratio, 2.84; 95% CI, 1.08-7.47). CONCLUSIONS: Preterm infants transported in the first 72 hours of life have an increased risk of early-life severe intraventricular hemorrhage even when maternal antenatal steroids are given. The additional burden of postnatal transport could be an important component in the pathway to severe intraventricular hemorrhage. As timely in-utero transfer is not always possible, we need to focus research on improving the transport pathway to reduce this additional risk.

Stillbirth Among Women Prescribed Nicotine Replacement Therapy in Pregnancy: Analysis of a Large UK Pregnancy Cohort.

INTRODUCTION: We aimed to compare risk of stillbirth between maternal smokers and those prescribed nicotine replacement therapy (NRT) during pregnancy. AIMS AND METHODS: We conducted a cross-sectional analysis on a pregnancy cohort of 220,630 singleton pregnancies ending in live or stillbirth between 2001 and 2012 from The Health Improvement Network UK general practice database. Women were categorized into three groups: NRT (prescribed during pregnancy or 1 month before conception); smokers; and controls (nonsmokers without a pregnancy NRT prescription). We calculated Odds ratios (OR) and corresponding 95% confidence intervals (CI) for stillbirth in the NRT group and smokers compared to controls. RESULTS: A total of 805 pregnancies ended in stillbirth (3.6/1000 births). Absolute risks of stillbirth in NRT and smoker groups were both 5/1000 births compared with 3.5/1000 births in the control group. Compared with the control group, the adjusted odds of stillbirth in the NRT group was not statistically significant (OR = 1.35, 95% CI 0.91 to 2.00), although it was similar in magnitude to that in the smokers group (OR = 1.41, 95% CI 1.13 to 1.77). CONCLUSIONS: We found no evidence of a statistically significant association between being prescribed NRT during pregnancy and odds of stillbirth compared with nonsmoking women. Although our study had much larger numbers than any previously, an even larger study with biochemically validated smoking outcome data and close monitoring of NRT use throughout pregnancy is required to exclude effects on findings of potential exposure misclassification.

Assessment of discharge treatment prescribed to women admitted to hospital for hyperemesis gravidarum.

AIMS: Prescribing drug treatment for the management of hyperemesis gravidarum (HG), the most severe form of nausea and vomiting in pregnancy, remains controversial. Since most manufacturers do not recommend prescribing antiemetics during pregnancy, little is known regarding which treatments are most prevalent among pregnant patients. Here, we report for the first time, evidence of actual treatments prescribed in English hospitals. METHODS: A retrospective pregnancy cohort was constructed using anonymised electronic records in the Nottingham University Hospitals Trust system for all women who delivered between January 2010 and February 2015. For women admitted to hospital for HG, medications prescribed on discharge were described and variation by maternal characteristics was assessed. Compliance with local and national HG treatment guidelines was evaluated. RESULTS: Of 33 567 pregnancies (among 30 439 women), the prevalence of HG was 1.7%. Among 530 HG admissions with records of discharge drugs, cyclizine was the most frequently prescribed (almost 73% of admissions). Prochlorperazine and metoclopramide were prescribed mainly in combination with other drugs; however, ondansetron was more common than metoclopramide at discharge from first and subsequent admissions. Steroids were only prescribed following readmissions. Thiamine was most frequently prescribed following readmission while high dose of folic acid was prescribed equally after first or subsequent admissions. Prescribing showed little variation by maternal age, ethnicity, weight, socioeconomic deprivation, or comorbidities. CONCLUSION: Evidence that management of HG in terms of discharge medications mainly followed local and national recommendations provides reassurance within the health professional community. Wider documentation of drugs prescribed to women with HG is required to enable full assessment of whether optimal drug management is being achieved.

Barriers to delivering advanced cancer nursing: A workload analysis of specialist nurse practice linked to the English National Lung Cancer Audit.

PURPOSE: Health services across the world utilise advanced practice in cancer care. In the UK, lung cancer nurse specialists (LCNS) are recognised as key components of quality care in national guidelines, yet access to LCNS contact is unequal and some responsibilities are reportedly left undone. We assess whether any variation in working practices of LCNS is attributable to factors of the lung cancer service at the hospital trust. METHOD: Nationwide workload analysis of LCNS working practices in England, linked at trust level to patient data from the National Lung Cancer Audit. Chi-squared tests were performed to assess whether patient contact, workload, involvement in multidisciplinary teams (MDT), and provision of key interventions were related to 1) the trust's lung cancer service size, 2) LCNS caseload, 3) anti-cancer treatment facilities and 4) lung cancer patient survival. RESULTS: Unpaid overtime was substantial for over 60% of nurses and not associated with particular service factors assessed; lack of administrative support was associated with large caseloads and chemotherapy facilities. LCNS at trusts with no specialty were more likely to challenge all MDT members (80%) compared with those at surgical (53%) or chemotherapy (58%) trusts. The most frequent specialist nursing intervention to not be routinely offered was proactive case management. CONCLUSION: Working practices of LCNS vary according to service factors, most frequently associated with trust anti-cancer treatment facilities. High workload pressures and limited ability to provide key interventions should be addressed across all services to ensure patients have access to recommended standards of care.