29 research outputs found

    Meeting commentary-"Medicines for older adults: Learning from practice to develop patient centric drug products"

    Get PDF
    A meeting jointly organised by the Academy of Pharmaceutical Sciences (APSGB), the Geriatric Medicine Society and the UCL School of Pharmacy took place on the 13th of March 2013, in Stevenage, UK [*]. The meeting was attended by a number of experts involved with the treatment and development of drugs for the older adult, including clinicians, pharmacists, academics, regulators and representatives from industry. The event created the platform to discuss the provision of medicines for older adults from a pharmaceutical sciences perspective

    Hospital care in the first ten years of life of children with congenital anomalies in six European countries: Data from the EUROlinkCAT Cohort linkage study

    Get PDF
    Objective To quantify the hospital care for children born with a major congenital anomaly up to 10 years of age compared with children without a congenital anomaly.Design, setting and patients 79 591 children with congenital anomalies and 2 021 772 children without congenital anomalies born 1995–2014 in six European countries in seven regions covered by congenital anomaly registries were linked to inpatient electronic health records up to their 10th birthday.Main outcome measures Number of days in hospital and number of surgeries.Results During the first year of life among the seven regions, a median of 2.4% (IQR: 2.3, 3.2) of children with a congenital anomaly accounted for 18% (14, 24) of days in hospital and 63% (62, 76) of surgeries. Over the first 10 years of life, the percentages were 17% (15, 20) of days in hospital and 20% (19, 22) of surgeries. Children with congenital anomalies spent 8.8 (7.5, 9.9) times longer in hospital during their first year of life than children without anomalies (18 days compared with 2 days) and 5 (4.1–6.1) times longer aged, 5–9 (0.5 vs 0.1 days). In the first year of life, children with gastrointestinal anomalies spent 40 times longer and those with severe heart anomalies 20 times longer in hospital reducing to over 5 times longer when aged 5–9.Conclusions Children with a congenital anomaly consume a significant proportion of hospital care resources. Priority should be given to public health primary prevention measures to reduce the risk of congenital anomalies

    mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): rationale and study protocol for a pragmatic randomised controlled trial

    Get PDF
    Background The growing number of patients with type 2 diabetes and prediabetes is a major public health concern. Physical activity is a cornerstone of diabetes management and may prevent its onset in prediabetes patients. Despite this, many patients with (pre)diabetes remain physically inactive. Primary care physicians are well-situated to deliver interventions to increase their patients' physical activity levels. However, effective and sustainable physical activity interventions for (pre)diabetes patients that can be translated into routine primary care are lacking. Methods We describe the rationale and protocol for a 12-month pragmatic, multicentre, randomised, controlled trial assessing the effectiveness of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED). Twenty-one general practices will recruit 340 patients with (pre)diabetes during routine health check-ups. Patients allocated to the active control arm will receive a Fitbit activity tracker to self-monitor their daily steps and try to achieve the recommended step goal. Patients allocated to the intervention arm will additionally receive the mHealth intervention, including the delivery of several text messages per week, with some of them delivered just in time, based on data continuously collected by the Fitbit tracker. The trial consists of two phases, each lasting six months: the lead-in phase, when the mHealth intervention will be supported with human phone counselling, and the maintenance phase, when the intervention will be fully automated. The primary outcome, average ambulatory activity (steps/day) measured by a wrist-worn accelerometer, will be assessed at the end of the maintenance phase at 12 months. Discussion The trial has several strengths, such as the choice of active control to isolate the net effect of the intervention beyond simple self-monitoring with an activity tracker, broad eligibility criteria allowing for the inclusion of patients without a smartphone, procedures to minimise selection bias, and involvement of a relatively large number of general practices. These design choices contribute to the trial’s pragmatic character and ensure that the intervention, if effective, can be translated into routine primary care practice, allowing important public health benefits

    Effect of pedometer-based walking interventions on long-term health outcomes: prospective 4-year follow-up of two randomised controlled trials using routine primary care data

    Get PDF
    © 2019 Harris et al. Background: Data are lacking from physical activity (PA) trials with long-term follow-up of both objectively measured PA levels and robust health outcomes. Two primary care 12-week pedometer-based walking interventions in adults and older adults (PACE-UP and PACE-Lift) found sustained objectively measured PA increases at 3 and 4 years, respectively. We aimed to evaluate trial intervention effects on long-term health outcomes relevant to walking interventions, using routine primary care data. Methods and Findings: Randomisation was from October 2012-November 2013 for PACE-UP participants from seven general (family) practices and October 2011-October 2012 for PACE-Lift participants from three practices. We downloaded primary care data, masked to intervention or control status, for 1001 PACE-UP participants age 45-75 years, 36% (361) male and 296 PACE-Lift participants, age 60-75 years, 46% (138) male, who gave written informed consent, for 4-year periods following randomisation. The following new events were counted for all participants, including those with pre-existing diseases (apart from diabetes, where existing cases were excluded): non-fatal cardiovascular; total cardiovascular (including fatal); incident diabetes; depression; fractures; and falls. Intervention effects on time to first event post-randomisation were modelled using Cox regression for all outcomes, except for falls, which used Negative Binomial regression to allow for multiple events, adjusting for age, sex, and study. Absolute risk reductions (ARRs) and numbers needed to treat (NNT) were estimated. Data were downloaded for 1297 (98%) of 1321 trial participants. Event rates were low (<20 per group) for outcomes, apart from fractures and falls. Cox Hazard ratios for time-to-first event post-randomisation for interventions versus controls were: non-fatal cardiovascular 0·24 (95% CI 0·07 to 0·77, p=0.02); total cardiovascular 0.34 (0.12 to 0.91, p=0.03); diabetes 0·75 (0·42 to 1·36, p=0.34); depression 0·98 (0·46 to 2·07, p=0.96); and fractures 0·56 (0·35 to 0·90, p=0.02). Negative binomial incident rate ratio for falls was 1.07 (95% CI 0·78–1·46, p=0.67). ARR and NNT (95% CI) for cardiovascular events were: non-fatal 1.7% (0.5% to 2.1%), NNT=59 (48 to 194); total 1.6% (0.2% to 2.2%), NNT=61 (46 to 472); and for fractures 3.6% (0.8% to 5.4%), NNT 28 (19 to 125). Main limitations were that event rates were low and only events recorded in primary care records were counted, however any under-recording would not have differed by intervention status, so should not have led to bias. Discussion: Routine primary care data used to assess long-term trial outcomes demonstrated significantly fewer new cardiovascular events and fractures in intervention participants at 4 years. No statistically significant differences between intervention and control groups were demonstrated for other events. Short-term primary care pedometer-based walking interventions can produce long-term health benefits and should be more widely used to help address the public health inactivity challenge. Trial Registrations: PACE-UP isrctn.com ISRCTN98538934; PACE-Lift isrctn.com ISRCTN42122561.National Institute for Health Research (NIHR) UK: PACE-UP trial and 3-year follow-up by the Health Technology Assessment (HTA) Programme NIHR (grant number 10/32/02); PACE-Lift trial by the Research for Patient Benefit (RfPB) Programme NIHR (grant number PB-PG-0909-20055); the PACE-UP 3-year follow-up was also supported by the Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London

    A pedometer-based walking intervention in 45- to 75-year-olds, with and without practice nurse support: The PACE-UP three-arm cluster RCT

    Get PDF
    Background Guidelines recommend walking to increase moderate to vigorous physical activity (MVPA) for health benefits. Objectives To assess the effectiveness, cost-effectiveness and acceptability of a pedometer-based walking intervention in inactive adults, delivered postally or through dedicated practice nurse physical activity (PA) consultations. Design Parallel three-arm trial, cluster randomised by household. Setting Seven London-based general practices. Participants A total of 11,015 people without PA contraindications, aged 45–75 years, randomly selected from practices, were invited. A total of 6399 people were non-responders, and 548 people self-reporting achieving PA guidelines were excluded. A total of 1023 people from 922 households were randomised to usual care (n = 338), postal intervention (n = 339) or nurse support (n = 346). The recruitment rate was 10% (1023/10,467). A total of 956 participants (93%) provided outcome data. Interventions Intervention groups received pedometers, 12-week walking programmes advising participants to gradually add ‘3000 steps in 30 minutes’ most days weekly and PA diaries. The nurse group was offered three dedicated PA consultations. Main outcome measures The primary and main secondary outcomes were changes from baseline to 12 months in average daily step counts and time in MVPA (in ≥ 10-minute bouts), respectively, from 7-day accelerometry. Individual resource-use data informed the within-trial economic evaluation and the Markov model for simulating long-term cost-effectiveness. Qualitative evaluations assessed nurse and participant views. A 3-year follow-up was conducted. Results Baseline average daily step count was 7479 [standard deviation (SD) 2671], average minutes per week in MVPA bouts was 94 minutes (SD 102 minutes) for those randomised. PA increased significantly at 12 months in both intervention groups compared with the control group, with no difference between interventions; additional steps per day were 642 steps [95% confidence interval (CI) 329 to 955 steps] for the postal group and 677 steps (95% CI 365 to 989 steps) for nurse support, and additional MVPA in bouts (minutes per week) was 33 minutes per week (95% CI 17 to 49 minutes per week) for the postal group and 35 minutes per week (95% CI 19 to 51 minutes per week) for nurse support. Intervention groups showed no increase in adverse events. Incremental cost per step was 19p and £3.61 per minute in a ≥ 10-minute MVPA bout for nurse support, whereas the postal group took more steps and cost less than the control group. The postal group had a 50% chance of being cost-effective at a £20,000 per quality-adjusted life-year (QALY) threshold within 1 year and had both lower costs [–£11M (95% CI –£12M to –£10M) per 100,000 population] and more QALYs [759 QALYs gained (95% CI 400 to 1247 QALYs)] than the nurse support and control groups in the long term. Participants and nurses found the interventions acceptable and enjoyable. Three-year follow-up data showed persistent intervention effects (nurse support plus postal vs. control) on steps per day [648 steps (95% CI 272 to 1024 steps)] and MVPA bouts [26 minutes per week (95% CI 8 to 44 minutes per week)]. Limitations The 10% recruitment level, with lower levels in Asian and socioeconomically deprived participants, limits the generalisability of the findings. Assessors were unmasked to the group. Conclusions A primary care pedometer-based walking intervention in 45- to 75-year-olds increased 12-month step counts by around one-tenth, and time in MVPA bouts by around one-third, with similar effects for the nurse support and postal groups, and persistent 3-year effects. The postal intervention provides cost-effective, long-term quality-of-life benefits. A primary care pedometer intervention delivered by post could help address the public health physical inactivity challenge. Future work Exploring different recruitment strategies to increase uptake. Integrating the Pedometer And Consultation Evaluation-UP (PACE-UP) trial with evolving PA monitoring technologies. Trial registration Current Controlled Trials ISRCTN98538934National Institute for Health Research (NIHR) Health Technology Assessment programm

    mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): rationale and study protocol for a pragmatic randomised controlled trial

    Get PDF
    Background The growing number of patients with type 2 diabetes and prediabetes is a major public health concern. Physical activity is a cornerstone of diabetes management and may prevent its onset in prediabetes patients. Despite this, many patients with (pre)diabetes remain physically inactive. Primary care physicians are well-situated to deliver interventions to increase their patients' physical activity levels. However, effective and sustainable physical activity interventions for (pre)diabetes patients that can be translated into routine primary care are lacking. Methods We describe the rationale and protocol for a 12-month pragmatic, multicentre, randomised, controlled trial assessing the effectiveness of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED). Twenty-one general practices will recruit 340 patients with (pre)diabetes during routine health check-ups. Patients allocated to the active control arm will receive a Fitbit activity tracker to self-monitor their daily steps and try to achieve the recommended step goal. Patients allocated to the intervention arm will additionally receive the mHealth intervention, including the delivery of several text messages per week, with some of them delivered just in time, based on data continuously collected by the Fitbit tracker. The trial consists of two phases, each lasting six months: the lead-in phase, when the mHealth intervention will be supported with human phone counselling, and the maintenance phase, when the intervention will be fully automated. The primary outcome, average ambulatory activity (steps/day) measured by a wrist-worn accelerometer, will be assessed at the end of the maintenance phase at 12 months. Discussion The trial has several strengths, such as the choice of active control to isolate the net effect of the intervention beyond simple self-monitoring with an activity tracker, broad eligibility criteria allowing for the inclusion of patients without a smartphone, procedures to minimise selection bias, and involvement of a relatively large number of general practices. These design choices contribute to the trial’s pragmatic character and ensure that the intervention, if effective, can be translated into routine primary care practice, allowing important public health benefits
    corecore