Optimizing smoking cessation guideline implementation using text-messages and summary-sheets: A mixed-method evaluation

eHealth-Based Psychosocial Interventions for Adults With Insomnia: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Worldwide, insomnia remains a highly prevalent public health problem. eHealth presents a novel opportunity to deliver effective, accessible, and affordable insomnia treatments on a population-wide scale. However, there is no quantitative integration of evidence regarding the effectiveness of eHealth-based psychosocial interventions on insomnia.

OBJECTIVE

We aimed to evaluate the effectiveness of eHealth-based psychosocial interventions for insomnia and investigate the influence of specific study characteristics and intervention features on these effects.

METHODS

We searched PubMed, Embase, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials from database inception to February 16, 2021, for publications investigating eHealth-based psychosocial interventions targeting insomnia and updated the search of PubMed to December 6, 2021. We also screened gray literature for unpublished data. Eligible studies were randomized controlled trials of eHealth-based psychosocial interventions targeting adults with insomnia. Random-effects meta-analysis models were used to assess primary and secondary outcomes. Primary outcomes were insomnia severity and sleep quality. Meta-analyses were performed by pooling the effects of eHealth-based psychosocial interventions on insomnia compared with inactive and in-person conditions. We performed subgroup analyses and metaregressions to explore specific factors that affected the effectiveness. Secondary outcomes included sleep diary parameters and mental health-related outcomes.

RESULTS

Of the 19,980 identified records, 37 randomized controlled trials (13,227 participants) were included. eHealth-based psychosocial interventions significantly reduced insomnia severity (Hedges g=-1.01, 95% CI -1.12 to -0.89; P<.001) and improved sleep quality (Hedges g=-0.58, 95% CI -0.75 to -0.41; P<.001) compared with inactive control conditions, with no evidence of publication bias. We found no significant difference compared with in-person treatment in alleviating insomnia severity (Hedges g=0.41, 95% CI -0.02 to 0.85; P=.06) and a significant advantage for in-person treatment in enhancing sleep quality (Hedges g=0.56, 95% CI 0.24-0.88; P<.001). eHealth-based psychosocial interventions had significantly larger effects (P=.01) on alleviating insomnia severity in clinical samples than in subclinical samples. eHealth-based psychosocial interventions that incorporated guidance from trained therapists had a significantly greater effect on insomnia severity (P=.05) and sleep quality (P=.02) than those with guidance from animated therapists or no guidance. Higher baseline insomnia severity and longer intervention duration were associated with a larger reduction in insomnia severity (P=.004). eHealth-based psychosocial interventions significantly improved each secondary outcome.

CONCLUSIONS

eHealth interventions for insomnia are effective in improving sleep and mental health and can be considered a promising treatment for insomnia. Our findings support the wider dissemination of eHealth interventions and their further promotion in a stepped-care model. Offering blended care could improve treatment effectiveness. Future research needs to elucidate which specific intervention components are most important to achieve intervention effectiveness. Blended eHealth interventions may be tailored to benefit people with low socioeconomic status, limited access to health care, or lack of eHealth literacy.

Optimizing Smoking Cessation Counseling in a University Hospital: Results and Pitfalls

Background

Healthcare professionals (HPs) can play a substantial role in smoking cessation counseling (SCC) but in practice often skip this task due to time constraints. This study evaluates the implementation of the rapid Ask-Advise-Connect (AAC) method in a University hospital setting.

Methods

This mixed methods pre-post interventional study was performed at the Cardiology department of a University hospital and consisted of (1) a quantitative assessment of patient smoking registration and HP connection rates to external SCC from the Electronic Medical Record, (2) semi-structured interviews with 10 HPs to assess their attitudes toward AAC, and (3) a blended intervention aimed to implement AAC. The blended intervention consisted of face-to-face and online AAC psychoeducation for HPs followed-up with motivational messages on their smart pagers over a period of 6 weeks.

Results

In total, 48,321 patient registrations and 67 HPs were included. Before AAC implementation, HPs assessed smoking status in 74.0% of patients and connected 9.3% of identified smokers with SCC. Post intervention, these percentages did not increase (73.2%, p = 0.20; and 10.9%, p = 0.18, respectively). Nonetheless, the vast majority (90%) of HPs feel it is important to discuss patient smoking, and view it as their duty to do so. Main barriers to AAC reported by HPs were forgetfulness and time pressure.

Conclusion

This study shows that this AAC intervention does not increase Asking after smoking status or Connection of patients to SCC in a University Hospital. However, HPs hold positive attitudes toward AAC. A better understanding of the mechanisms required for optimizing HPs practice behavior is needed.

Improving implementation of smoking cessation guidelines in pregnancy care: development of an intervention to address system, maternity service leader and clinician factors

Background

Smoking during pregnancy increases the risk of multiple serious adverse infant, child and maternal outcomes, yet nearly 10% of Australian women still smoke during pregnancy. Despite evidence-based guidelines that recommend routine and repeated smoking cessation support (SCS) for all pregnant women, the provision of recommended SCS remains poor. Guidance on developing complex interventions to improve health care recommends drawing on existing theories, reviewing evidence, undertaking primary data collection, attending to future real-world implementation and designing and refining interventions using iterative cycles with stakeholder input throughout. Here, we describe using the Behaviour Change Wheel (BCW) and the Theoretical Domains Framework to apply these principles in developing an intervention to improve the provision of SCS in Australian maternity services.

Methods

Working closely with key stakeholders in the New South Wales (NSW) health system, we applied the steps of the BCW method then undertook a small feasibility study in one service to further refine the intervention. Stakeholders were engaged in multiple ways—as a core research team member, through a project Advisory Group, targeted meetings with policymakers, a large workshop to review potential components and the feasibility study.

Results

Barriers to and enablers of providing SCS were identified in five of six components described in the BCW method (psychological capability, physical opportunity, social opportunity and reflective and automatic motivation). These were mapped to intervention types and we selected education, training, enablement, environmental restructuring, persuasion, incentivisation and modelling as suitable in our context. Through application of the APEASE criteria (Affordability, Practicability, Effectiveness, Acceptability, Side effects and Equity) in the stakeholder workshop, behaviour change techniques were selected and applied in developing the intervention which includes systems, clinician and leadership elements. The feasibility study confirmed the feasibility and acceptability of the midwifery component and the need to further strengthen the leadership component.

Conclusions

Using the BCW method combined with strong stakeholder engagement from inception resulted in transparent development of the MOHMQuit intervention, which targets identified barriers to and enablers of the provision of SCS and is developed specifically for the context in which it will be implemented. The intervention is being trialled in eight public maternity services in NSW.

Supplementary Information

The online version contains supplementary material available at 10.1186/s43058-021-00235-5.

Improving Clinicians' Implementation of Guidelines to Help Women Stop Smoking in Pregnancy: Developing Evidence-Based Print and Video Materials

Smoking in pregnancy remains a public health challenge. Our team developed a comprehensive intervention using the Behaviour Change Wheel to support clinicians' implementation of guidelines on supporting women to stop smoking in pregnancy. Integral to the intervention was a suite of evidence-based video and print materials. This paper describes the rationale and process for developing these materials. Comprehensive mixed methods research was undertaken to identify the key barriers and enablers for clinicians in implementing the guidelines. This research identified which behaviours required change, and which behaviour change techniques were best suited to effecting that change. Materials were developed based on this understanding, in a collaborative process with multiple stakeholders, and their feasibility and acceptability explored in a small trial. Materials developed included leadership, clinician and client resources. There are considerable advantages to systematically and collaboratively developing materials which are integral to a behaviour-change intervention even though it is resource intensive to do so.

Lacking willpower? A latent class analysis of healthcare providers' perceptions of smokers' responsibility for smoking

OBJECTIVE

Healthcare providers' (HCPs) perceptions of smokers' responsibility for smoking may affect implementation of smoking cessation care (SCC), but are understudied. This study examined Dutch HCPs' perceptions of smokers' responsibility for smoking, and how many and which subgroups exist with regard to these perceptions.

METHODS

Observational cross-sectional study among physicians and other HCPs (N = 570). Latent class analysis was used to analyse data.

RESULTS

Results showed two latent classes of HCPs: a majority (77 %) that appeared to hold smokers themselves more accountable for their smoking, and a minority (23 %) that seemed more inclined to believe that people smoked as a consequence of factors such as addiction, and smoking initiation when people were young and could not foresee consequences. The two-class model showed excellent certainty in classification. Class membership was associated with age, working experience, and smoking status. The majority class experienced more barriers to SCC than the minority class and provided SCC tasks to fewer patients.

CONCLUSIONS

HCPs' perceptions of smokers' responsibility for smoking relate to HCP background characteristics, barriers to SCC and implementation of SCC.

PRACTICE IMPLICATIONS

New approaches to improving SCC might be needed that take HCP's perceptions of smokers' responsibility into account.