Low-intake dehydration, due to insufficient beverage intake, is common in older people and associated with increased mortality and morbidity. We aimed to document the drinking patterns of older adults living in long-term care and compared patterns in those drinking well with those not drinking enough. One-hundred-and-eighty-eight people aged ≥ 65 years living in 56 UK long-term care homes were interviewed and hydration status was assessed in the Dehydration Recognition In our Elders (DRIE) study. In 22 DRIE residents, the Fluid Intake Study in our Elders (FISE) directly observed, weighed and recorded all drinks intake over 24 h. Twenty percent of DRIE participants and 18% of FISE participants had low-intake dehydration (serum osmolality > 300 mOsm/kg). Mean total drinks intake was 1787 mL/day (SD 693) in FISE participants (2033 ± 842 mL/day in men; 1748 ± 684 mL/day in women). Most drinks intake was between meals (59%, including 10% with medications). Twelve (55%) FISE participants achieved European Food Safety Authority drinks goals (3/6 men drank ≥ 2.0 L/day, 9/16 women drank ≥ 1.6 L/day). Those drinking well were offered beverages more frequently and drank more with medications and before breakfast (beverage variety did not differ). Promising strategies to support healthy drinking include offering drinks more frequently, particularly before and during breakfast and with medication.

There is no routine support to prevent postpartum smoking relapse, due to lack of effective interventions. Previous reviews have identified behaviour change techniques (BCTs) within pregnancy cessation trials to specify which components might be incorporated into more effective interventions, but no reviews have identified BCTs for prevention of smoking relapse postpartum. We reviewed BCTs and potential delivery modes, to inform future interventions. We searched Medline and EMBASE from January 2015-May 2017; and identified trials published before 2015 by handsearching systematic reviews. We included RCTs where: i) ≥1 intervention component aimed to maintain smoking abstinence versus a less intensive intervention; ii) participants included pregnant or postpartum smoking quitters; iii) smoking status was reported in the postpartum period. We extracted trial characteristics and used the Behaviour Change Technique Taxonomy v1 to extract BCTs. We aimed to identify 'promising' BCTs i.e. those frequently occurring and present in ≥2 trials that demonstrated long-term effectiveness (≥6 months postpartum). Data synthesis was narrative. We included 32 trials, six of which demonstrated long-term effectiveness. These six trials used self-help, mainly in conjunction with counselling, and were largely delivered remotely. We identified six BCTs as promising: 'problem solving', 'information about health consequences', 'information about social and environmental consequences', 'social support', 'reduce negative emotions' and 'instruction on how to perform a behaviour'. Future interventions to prevent postpartum smoking relapse might include these six BCTs to maximise effectiveness. Tailored self-help approaches, with/without counselling, may be favourable modes of delivery of BCTs. Registration: PROSPERO CRD42018075677.

Background: mHealth applications (apps) for addictive behaviours offer widespread provision of digital support, with particular benefits for stigmatized groups and those with poor access to treatment services. Regulation and accreditation may encourage the uptake and use of evidence‐based addictive behaviour apps, yet this is a complex and confusing landscape. We navigate international regulatory and accreditation guidance, explore some of the implementation challenges and provide implications for app developers, health‐care professionals and app users.Analysis: We explore the classification of health and wellbeing, blended support and clinical therapy apps as medical devices by country to help readers navigate the complexity of the guidance. We describe an addictive behaviour app classified as a medical device and explore the innovative approaches to regulation that are currently emerging. We discuss the use of curated on‐line app libraries that adhere to thresholds for characteristics such as quality, user satisfaction or effectiveness, which we hope will become the starting‐point in the search for suitable apps, rather than commercial app stores. We also explore the ethical concerns associated with apps and how curated libraries address these.Conclusions: International regulation of applications as medical devices varies across countries and would benefit from standardization in a simple, usable and transparent format. Efforts to provide accreditation of non‐medical device applications are also variable, and public bodies provide mixed messages concerning endorsement. Health‐care professionals and users are encouraged to use accredited applications for addictive behaviours where they exist, or explore other forms of digital intervention with a stronger evidence base.

Background: Behavior change apps have the potential to provide individual support on a population scale at low cost, but they face numerous barriers to implementation. Electronic health records (EHRs) in acute care hospitals provide a valuable resource for identifying patients at risk, who may benefit from behavior change apps. A novel, emerging implementation strategy is to use digital technologies not only for providing support to help-seeking individuals but also for signposting patients at risk to support services (also called proactive referral in the United States). Objective: The OptiMine study aimed to increase the reach of behavior change apps by implementing electronic signposting for smoking cessation and alcohol reduction in a large, at-risk population that was identified through an acute care hospital EHR. Methods: This 3-phase, mixed methods implementation study assessed the acceptability, feasibility, and reach of electronic signposting to behavior change apps by using a hospital’s EHR system to identify patients who are at risk. Phase 1 explored the acceptability of the implementation strategy among the patients and staff through focus groups. Phase 2 investigated the feasibility of using the hospital EHR to identify patients with target risk behaviors and contact them via SMS text message, email, or patient portal. Phase 3 assessed the impact of SMS text messages sent to patients who were identified as smokers or risky drinkers, which signposted them to behavior change apps. The primary outcome was the proportion of participants who clicked on the embedded link in the SMS text message to access information about the apps. The acceptability of the SMS text messages among the patients who had received them was also explored in a web-based survey. Results: Our electronic signposting strategy—using SMS text messages to promote health behavior change apps to patients at risk—was found to be acceptable and feasible and had good reach. The hospital sent 1526 SMS text messages, signposting patients to either the National Health Service Smokefree or Drink Free Days apps. A total of 13.56% (207/1526) of the patients clicked on the embedded link to the apps, which exceeded our 5% a priori success criterion. Patients and staff contributed to the SMS text message content and delivery approach, which were perceived as acceptable before and after the delivery of the SMS text messages. The feasibility of the SMS text message format was determined and the target population was identified by mining the EHR. Conclusions: The OptiMine study demonstrated the proof of concept for this novel implementation strategy, which used SMS text messages to signpost at-risk individuals to behavior change apps at scale. The level of reach exceeded our a priori success criterion in a non–help-seeking population of patients receiving unsolicited SMS text messages, disconnected from hospital visits. International Registered Report Identifier (IRRID): RR2-10.2196/23669

Children are particularly vulnerable to environmental tobacco smoke (ETS). There is no routine support to reduce ETS in the home. We systematically reviewed trials to reduce ETS in children in order to identify intervention characteristics and behaviour change techniques (BCTs) to inform future interventions. We searched Medline, EMBASE, CINAHL, PsycINFO, ERIC, Cochrane Central Register of Controlled Trials, and Cochrane Tobacco Addiction Group Specialised Register from January 2017 to June 2020 to update an existing systematic review. We included controlled trials to reduce parent/caregiver smoking or ETS in children <12 years that demonstrated a statistically significant benefit, in comparison to less intensive interventions or usual care. We extracted trial characteristics; and BCTs using Behaviour Change Technique Taxonomy v1. We defined “promising” BCTs as those present in at least 25% of effective interventions. Data synthesis was narrative. We included 16 trials, of which eight were at low risk of bias. All trials used counselling in combination with self-help or other supporting materials. We identified 13 “promising” BCTs centred on education, setting goals and planning, or support to reach goals. Interventions to reduce ETS in children should incorporate effective BCTs and consider counselling and self-help as mechanisms of delivery.

Smokers receiving support in specialist centers tend to have a higher short-term quit rate, compared with those receiving support in other settings from professionals for whom smoking cessation is only a part of their work. We investigated the difference in longer-term abstinence after short-term smoking cessation treatment from specialist and nonspecialist smoking cessation services. We conducted a secondary analysis of data from a randomized controlled trial of self-help booklets for the prevention of smoking relapse. The trial included 1088 short-term quitters from specialist stop smoking clinics and 316 from nonspecialist cessation services (such as general practice, pharmacies, and health trainer services). The difference in prolonged smoking abstinence from months 4 to 12 between specialist and nonspecialist services was compared. Multivariable logistic regression analyses were conducted to investigate the association between continuous smoking abstinence and the type of smoking cessation services, adjusted for possible confounding factors (including demographic, socioeconomic, and smoking history variables). The proportion of continuous abstinence from 4 to 12 months was higher in short-term quitters from specialist services compared with those from nonspecialist services (39% vs. 32%; P = .023). After adjusting for a range of participant characteristics and smoking variables, the specialist service was significantly associated with a higher rate of longer-term smoking abstinence (odds ratio: 1.48, 95% CI = 1.09% to 2.00%; P = .011). People who receive support to stop smoking from a specialist appear to be at lower risk of relapse than those receiving support from a nonspecialist advisor.