Smoking in pregnancy remains a global public health issue due to foetal health risks and potential maternal complications. The aims of this systematic review and meta-analysis were to explore: (1) whether digital interventions for pregnancy smoking cessation are effective, (2) the impact of intervention platform on smoking cessation, (3) the associations between specific Behaviour Change Techniques (BCTs) delivered within interventions and smoking cessation and (4) the association between the total number of BCTs delivered and smoking cessation. Systematic searches of 9 databases resulted in the inclusion of 12 published articles (n = 2970). The primary meta-analysis produced a sample-weighted odds ratio (OR) of 1.44 (95% CI 1.04-2.00, p = .03) in favour of digital interventions compared with comparison groups. Computer-based (OR = 3.06, 95% CI 1.28-7.33) and text-message interventions (OR = 1.59, 95% CI 1.07-2.38) were the most effective digital platform. Moderator analyses revealed seven BCTs associated with smoking cessation: information about antecedents; action planning; problem solving; goal setting (behaviour); review behaviour goals; social support (unspecified); and pros and cons. A meta-regression suggested that interventions using larger numbers of BCTs produced the greatest effects. This paper highlights the potential for digital interventions to improve rates of smoking cessation in pregnancy.

Background: Missed GP appointments have considerable time and cost implications for healthcare services. Aim: This systematic review aims to explore the rate of missed primary care appointments, what the reported reasons are for appointments being missed, and which patients are more likely to miss appointments. Design: This study reports the findings of a systematic review. Setting: Included studies report the rate or reasons of missed appointments in a primary care setting. Method: Databases were searched using a pre-defined search strategy. Eligible studies were selected for inclusion based on detailed inclusion criteria through title, abstract and full text screening. Quality was assessed on all included studies, and findings were synthesised to answer the research questions. Results: A total of 26 studies met the inclusion criteria for inclusion in the review. Of these, 19 reported a rate of missed appointments, with a mean rate of 15.2% and a median of 12.9% appointments being missed. Twelve studies reported a reason appointments were missed, with work or family commitments, forgetting the appointment and transportation difficulties were most commonly reported. 20 studies reported characteristics of people likely to miss appointments. Patients who were likely to miss appointments were those from minority ethnicity, low socio-demographic status and younger patients. Conclusions: Findings from this review have potential implications for targeted interventions to address missed appointments in primary care. This is the first step for clinicians being able to target interventions to reduce the rate of missed appointments.

BackgroundThe parkrun practice initiative, a joint collaboration between parkrun and the Royal College of General Practitioners, was launched to encourage general practices to improve the health and wellbeing of patients and staff through participating in local 5 km parkrun events. Why and how practices engage with the initiative is unknown.AimTo investigate engagement with and delivery of the parkrun practice initiative in general practice.Design and settingMixed methods study conducted from April–July 2019 comprising an online survey of all registered parkrun practices, and interviews and a focus group with practice staff in the West Midlands.MethodThe designated contacts at 780 registered parkrun practices were invited to complete an online survey. A purposive sample of parkrun practice staff and non-registered practice staff took part either in semi-structured interviews or a focus group, with transcripts analysed thematically.ResultsOf the total number of parkrun practices, 306 (39.2%) completed the survey. Sixteen practice staff (from nine parkrun practices and four non-registered practices) took part in either semi-structured interviews (n = 12) or a focus group (n = 4). Key motivators for becoming a parkrun practice were: to improve patient and staff health and wellbeing, and to become more engaged with the community and enhance practice image. Practices most commonly encouraged patients, carers, and staff to take part in parkrun and displayed parkrun flyers and posters. Challenges in implementing activities included lack of time (both personal and during consultations) and getting staff involved. Where staff did engage there were positive effects on morale and participation. Non-registered practices were receptive to the initiative, but had apprehensions about the commitment involved.ConclusionPractices were keen to improve patient and staff health. Addressing time constraints and staff support needs to be considered when implementing the initiative.

Self-efficacy is an important determinant of health behaviour. Digital interventions are a potentially acceptable and cost-effective way of delivering programmes of health behaviour change at scale. Whether behaviour change interventions work to increase self-efficacy in this context is unknown. This systematic review and meta-analysis sought to identify whether automated digital interventions are associated with positive changes in self-efficacy amongst non-clinical populations for five major health behaviours, and which BCTs are associated with that change. A systematic literature search identified 20 studies (n=5624) that assessed changes in self-efficacy and were included in a random effects meta-analysis. Interventions targeted: healthy eating (k=4), physical activity (k=9), sexual behaviour (k=3), and smoking (k=4). No interventions targeting alcohol use were identified. Overall, interventions had a small, positive effect on self-efficacy ( ̅ = 0.190, CI [0.078; 0.303]). The effect of interventions on self-efficacy did not differ as a function of health behaviour type (Qbetween = 7.3704 p = 0.061, df = 3). Inclusion of the BCT 'information about social and environmental consequences' had a small, negative effect on self-efficacy (∆ ̅ = -0.297, Q=7.072, p=0.008). Whilst this review indicates that digital interventions can be used to change self-efficacy, which techniques work best in this context is not clear.