Background Chronic obstructive pulmonary disease (COPD) has been recognised as a global health concern, and one of the leading causes of morbidity and mortality worldwide. Projections of the World Health Organization (WHO) indicate that prevalence rates of COPD continue to increase, and by 2030, it will become the world's third leading cause of death. Depression is a major comorbidity amongst patients with COPD, with an estimate prevalence of up to 80% in severe stages of COPD. Prevalence studies show that patients who have COPD are four times as likely to develop depression compared to those without COPD. Regrettably, they rarely receive appropriate treatment for COPD-related depression. Available findings from trials indicate that untreated depression is associated with worse compliance with medical treatment, poor quality of life, increased mortality rates, increased hospital admissions and readmissions, prolonged length of hospital stay, and subsequently, increased costs to the healthcare system. Given the burden and high prevalence of untreated depression, it is important to evaluate and update existing experimental evidence using rigorous methodology, and to identify effective psychological therapies for patients with COPD-related depression. Objectives To assess the effectiveness of psychological therapies for the treatment of depression in patients with chronic obstructive pulmonary disease. Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (2018, Issue 11), and Ovid MEDLINE, Embase and PsycINFO from June 2016 to 26 November 2018. Previously these databases were searched via the Cochrane Airways and Common Mental Disorders Groups' Specialised Trials Registers (all years to June 2016). We searched ClinicalTrials.gov, the ISRCTN registry, and the World Health Organization International Clinical Trials Registry Platform (ICTRP) to 26 November 2018 to identify unpublished or ongoing trials. Additionally, the grey literature databases and the reference lists of studies initially identified for full-text screening were also searched. Psychological therapies for the treatment of depression in chronic obstructive pulmonary disease (Review)
Currently, the evidence for mobile health (mHealth) smoking cessation interventions is limited and heterogeneous, warranting the need for innovative rigorously developed solutions. The aim of this study was to describe the development of a smoking cessation smartphone application (app) developed using evidence-based principles. The app (Kick.it) was designed using the Intervention Mapping framework, incorporating an extensive literature review and qualitative study, in combination with the Behavioural Change Taxonomy v1, the Theoretical Domains Framework, and the Persuasive System Design framework. Kick.it provides quit smoking education, skills training, motivational content and self-regulation functionality for smokers, as well as their social support network. By logging cravings and cigarettes smoked, users will create their own smoking profile, which will be used to provide tailored interventions. It hosts a social network to allow 24/7 social support and provides in-app tools to help with urges to smoke. The app aims to motivate smokers to retry if they slip-up or relapse, allowing them to learn from previous smoking cessation attempts. Rather than basing the app on a singular behavioral change approach, Kick.it will use elements stemming from a variety of behavioral approaches by combining methods of multiple psychological theories. The use of best-practice intervention development frameworks in conjunction with evidence-based behavioral change techniques is expected to result in a smartphone app that has an optimal chance of helping people to quit smoking.
Available trials showed low to moderate-quality evidence that intercostal tube drainage produced higher rates of immediate success, while simple aspiration resulted in a shorter duration of hospitalization. Although adverse events were reported more commonly for patients treated with tube drainage, the low quality of the evidence warrants caution in interpreting these findings. Similarly, although this review observed no differences between groups when early failure rate, one-year success rate, or hospital admission rate was evaluated, this too needs to be put into the perspective of the quality of evidence, specifically, for evidence of very low and low quality for hospitalization rate and patient satisfaction, respectively. Future adequately powered research is needed to strengthen the evidence presented in this review.
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