Mood Management Intervention Research Articles

Primary healthcare provider experience of knowledge brokering interventions for mood management

ABSTRACT Background Knowledge brokering is a knowledge translation strategy used in healthcare settings to facilitate the implementation of evidence into practice. How healthcare providers perceive and respond to various knowledge translation approaches is not well understood. This qualitative study used the Theoretical Domains Framework to examine healthcare providers’ experiences with receiving one of two knowledge translation strategies: a remote knowledge broker (rKB); or monthly emails, for encouraging delivery of mood management interventions to patients enrolled in a smoking cessation program. Methods Semi-structured interviews were conducted with 21 healthcare providers recruited from primary care teams. We used stratified purposeful sampling to recruit participants who were allocated to receive either the rKB, or a monthly email-based knowledge translation strategy as part of a cluster randomized controlled trial. Interviews were structured around domains of the Theoretical Domains Framework (TDF) to explore determinants influencing practice change. Data were coded into relevant domains. Results Both knowledge translation strategies were considered helpful prompts to remind participants to deliver mood interventions to patients presenting depressive symptoms. Neither strategy appeared to have influenced the health care providers on the domains we probed. The domains pertaining to knowledge and professional identity were perceived as facilitators to implementation, while domains related to beliefs about consequences, emotion, and environmental context acted as barriers and/or facilitators to healthcare providers implementing mood management interventions. Conclusion Both strategies served as reminders and reinforced providers’ knowledge regarding the connection between smoking and depressed mood. The TDF can help researchers better understand the influence of specific knowledge translation strategies on healthcare provider behavior change, as well as potential barriers and facilitators to implementation of evidence-informed interventions. Environmental context should be considered to address challenges and facilitate the movement of knowledge into clinical practice.

The effectiveness of generic emails versus a remote knowledge broker to integrate mood management into a smoking cessation programme in team-based primary care: a cluster randomised trial

BackgroundKnowledge brokering is a knowledge translation approach that has been gaining popularity in Canada although the effectiveness is unknown. This study evaluated the effectiveness of generalised, exclusively email-based prompts versus a personalised remote knowledge broker for delivering evidence-based mood management interventions within an existing smoking cessation programme in primary care settings.MethodsThe study design is a cluster randomised controlled trial of 123 Ontario Family Health Teams participating in the Smoking Treatment for Ontario Patients programme. They were randomly allocated 1:1 for healthcare providers to receive either: a remote knowledge broker offering tailored support via phone and email (group A), or a generalised monthly email focused on tobacco and depression treatment (group B), to encourage the implementation of an evidence-based mood management intervention to smokers presenting depressive symptoms. The primary outcome was participants’ acceptance of a self-help mood management resource. The secondary outcome was smoking abstinence at 6-month follow-up, measured by self-report of smoking abstinence for at least 7 previous days. The tertiary outcome was the costs of delivering each intervention arm, which, together with the effectiveness outcomes, were used to undertake a cost minimisation analysis.ResultsBetween February 2018 and January 2019, 7175 smokers were screened for depression and 2765 (39%) reported current/past depression. Among those who reported current/past depression, 29% (437/1486) and 27% (345/1277) of patients accepted the mood management resource in group A and group B, respectively. The adjusted generalised estimating equations showed that there was no significant difference between the two treatment groups in patients’ odds of accepting the mood management resource or in the patients’ odds of smoking abstinence at follow-up. The cost minimisation analysis showed that the email strategy was the least costly option.ConclusionsMost participants did not accept the resource regardless of remote knowledge broker strategy. In contexts with an existing KT infrastructure, decision-makers should consider an email strategy when making changes to a programme given its lower cost compared with other strategies. More research is required to improve remote knowledge broker strategies.Trial registrationClinicalTrials.gov, NCT03130998. Registered April 18, 2017, (Archived on WebCite at www.webcitation.org/6ylyS6RTe)

Tailored Versus Generic Knowledge Brokering to Integrate Mood Management Into Smoking Cessation Interventions in Primary Care Settings: Protocol for a Cluster Randomized Controlled Trial.

BackgroundBoth tobacco smoking and depression are major public health problems associated with high morbidity and mortality. In addition, individuals with depression are almost twice as likely to smoke and less likely to achieve smoking cessation. In the Smoking Treatment for Ontario Patients program, an established smoking cessation program in Ontario, Canada, 38% of smokers in primary care settings have current or past depression with 6-month quit rates that are significantly lower than those without depression (33% versus 40%, P<.001). Integrating self-help mood management (eg, relaxation exercises and mood monitoring) with smoking cessation treatment increases long-term quit rates by 12%-20%. However, integration in real-world settings has not been reported. It is unclear which knowledge translation strategy would be more effective for motivating clinicians to provide resources on mood management to eligible patients.ObjectiveThe objectives of this study are to investigate the following comparisons among depressed smokers enrolled in a smoking cessation program: 1) the effectiveness of generalized, exclusively email-based prompts versus a personalized knowledge broker in implementing mood management interventions; 2) the effectiveness of the two knowledge translation strategies on smoking quit rates; and 3) the incremental costs of the two knowledge translation strategies on the implementation of mood management interventions.MethodsThe study design is a cluster randomized controlled trial of Family Health Teams participating in the Smoking Treatment for Ontario Patients program. Family Health Teams will be randomly allocated 1:1 to receive either generalized messages (related to depression and smoking) exclusively via email (group A) or be assigned a knowledge broker who provides personalized support through phone- and email-based check-ins (group B). The primary outcome, measured at the site level, is the proportion of eligible baseline visits that result in the provision of the mood management intervention to eligible patients.ResultsRecruitment for the primary outcome of this study will be completed in 2018/2019. Results will be reported in 2019/2020.ConclusionsThis study will address the knowledge gap in the implementation strategies (ie, email-based prompts versus a knowledge broker) of mood management interventions for smokers with depression in primary care settings.Trial RegistrationClinicalTrials.gov NCT03130998; https://clinicaltrials.gov/ct2/show/NCT03130998 (Archived on WebCite at www.webcitation.org/6ylyS6RTe)

Comparing Amazon Mechanical Turk with unpaid internet resources in online clinical trials

Internet interventions face significant challenges in recruitment and attrition rates are typically high and problematic. Finding innovative yet scientifically valid avenues for attaining and retaining participants is therefore of considerable importance. The main goal of this study was to compare recruitment process and participants characteristics between two similar randomized control trials of mood management interventions. One of the trials (Bunge et al., 2016) was conducted with participants recruited from Amazon's Mechanical Turk (AMT), and the other trial recruited via Unpaid Internet Resources (UIR). MethodsThe AMT sample (Bunge et al., 2016) consisted of 765 adults, and the UIR sample (recruited specifically for this study) consisted of 329 adult US residents. Participants' levels of depression, anxiety, confidence, motivation, and perceived usefulness of the intervention were assessed. The AMT sample was financially compensated whereas the UIR was not. ResultsAMT yielded higher recruitment rates per month (p < .05). At baseline, the AMT sample reported significantly lower depression and anxiety scores (p < .001 and p < .005, respectively) and significantly higher mood, motivation, and confidence (all p < .001) compared to the UIR sample. AMT participants spent significantly less time on the site (p < .05) and were more likely to complete follow-ups than the UIR sample (p < .05). Both samples reported a significant increase in their level of confidence and motivation from pre- to post-intervention. AMT participants showed a significant increase in perceived usefulness of the intervention (p < .0001), whereas the UIR sample did not (p = .1642). ConclusionsBy using AMT, researchers can recruit very rapidly and obtain higher retention rates; however, these participants may not be representative of the general online population interested in clinical interventions. Considering that AMT and UIR participants differed in most baseline variables, data from clinical studies resulting from AMT samples should be interpreted with caution.

Cancer Patients Enrolled in a Smoking Cessation Clinical Trial: Characteristics and Correlates of Smoking Rate and Nicotine Dependence.

Introduction A substantial proportion of cancer patients continue to smoke after their diagnosis but few studies have evaluated correlates of nicotine dependence and smoking rate in this population, which could help guide smoking cessation interventions. Aim This study evaluated correlates of smoking rate and nicotine dependence among 207 cancer patients. Methods A cross-sectional analysis using multiple linear regression evaluated disease, demographic, affective, and tobacco-seeking correlates of smoking rate and nicotine dependence. Smoking rate was assessed using a timeline follow-back method. The Fagerström Test for Nicotine Dependence measured levels of nicotine dependence. Results A multiple linear regression predicting nicotine dependence showed an association with smoking to alleviate a sense of addiction from the Reasons for Smoking scale and tobacco-seeking behavior from the concurrent choice task (p < .05), but not with affect measured by the HADS and PANAS (p > .05). Multiple linear regression predicting prequit showed an association with smoking to alleviate addiction (p < .05). ANOVA showed that Caucasian participants reported greater rates of smoking compared to other races. Conclusions The results suggest that behavioral smoking cessation interventions that focus on helping patients to manage tobacco-seeking behavior, rather than mood management interventions, could help cancer patients quit smoking.

Positive Affect as a Predictor of Smoking Cessation and Relapse: Does It Offer Unique Predictive Value among Depressive Symptom Domains?

ABSTRACTBackground: Prior studies have suggested that, among the domains of depressive symptoms, low positive affect (PA) may have a distinct relationship with smoking cessation and relapse. However, the empirical basis for PA-focused interventions cessation is limited, with some mixed findings. Objectives: Using a large, diverse sample of treatment-seeking smokers, this study tested the hypothesis that PA adds unique predictive value beyond the effects of the other symptom domains in models of cessation and relapse. Methods: Adult smokers participating in a smoking cessation trial (n = 450) were included in this post hoc analysis. Cessation outcomes included smoking abstinence at end of treatment and at 6-month follow-up. Relapse was defined as recurrence of smoking at 6-month follow-up among the end-of-treatment abstainers. Depressive symptoms were assessed at baseline using the Center for Epidemiologic Studies-Depression (CES-D) scale. Results: With the exception of PA, all of the CES-D domains predicted reduced likelihood of smoking abstinence at end of treatment and cotinine-confirmed (but not self-reported) abstinence at 6 months, as did total CES-D score (all p-values < .05). None of the symptom domains predicted relapse. Conclusions/Importance: Our results provide further evidence that current depressive symptoms predict worse cessation outcomes, but they fail to support recent work suggesting that low PA has incremental predictive value for cessation or relapse beyond the other depressive symptom domains. To improve quit rates for smokers with depressive symptoms, evidence-based mood management interventions should be included in treatment planning.

Impact of variation in functions and delivery on the effectiveness of behavioural and mood management interventions for smoking cessation in people with depression: protocol for a systematic review and meta-analysis

IntroductionTobacco is the world’s leading preventable cause of disease and death. People with depression are twice as likely to smoke and are less responsive to standard tobacco treatments as compared...

What are the combined effects of negative emotions and illness cognitions on self-care in people with type 2 diabetes? A longitudinal structural equation model

Objective: To explore whether negative emotions mediate the effect of diabetes cognitions on diabetes self-care and conversely whether diabetes cognitions mediate the effect of negative emotions on diabetes self-care.Design: Longitudinal observational study in adults with type 2 diabetes.Main outcome measures: Self-reported depression and anxiety (Diabetes Wellbeing Questionnaire), cognitions (Illness Perceptions Questionnaire-Revised; Beliefs about Medicines Questionnaire), and diabetes self-care (Summary of Diabetes Self-Care Activities Scale) were completed at baseline and six months. Analyses used structural equation modelling.Results: Baseline medication concerns were associated with elevated symptoms of depression and anxiety at follow-up, but emotions did not mediate medication concern’s effect on diabetes self-care. Baseline depression and anxiety symptoms were associated with specific diabetes cognitions over time, but these cognition domains did not mediate emotion’s effect on diabetes self-care. Personal control remained independent of emotions and was associated with diabetes self-care over time.Conclusions: Negative emotions did not act directly or alongside cognitions to influence diabetes self-care. The reciprocal relationship between diabetes cognitions and emotions suggests cognitive restructuring, in addition to other mood management intervention techniques would likely improve the emotional wellbeing of adults with type 2 diabetes. Likewise, personal control beliefs are likely important intervention targets for improving self-care.

Mood Management and Nicotine Patch for Smoking Cessation in Adults With Bipolar Disorder

Cigarette smoking is three times more prevalent in bipolar disorder than in the general population, and quit rates are low (Lasser et al., 2000). Only two small (n = 5) pharmacotherapy studies (Weinberger et al., 2008; Wu et al., 2012) have examined interventions for smokers with bipolar disorder. Targeted behavioral interventions designed to address barriers to quitting in bipolar disorder may improve quit rates. Cognitive-behavioral mood management interventions have demonstrated some success in treating depressed smokers (Haas, Muñoz, Humfleet, Reus, & Hall, 2004) and may be useful for smokers with bipolar disorder, but no studies have tested this proposition. Consequently, we examined the feasibility of a mood management intervention for smokers with bipolar disorder in a proof-of-concept study. Participants were adult smokers (≥18 years old) who met DSM-IV criteria for bipolar I disorder; smoked ≥10 cigarettes/day for the past 90 days, with expired air carbon monoxide (CO) level ≥ 10 ppm; scored ≥6 on a 10-point scale of motivation to quit smoking; were nicotine dependent, minimally symptomatic (i.e., Montgomery–Asberg Depression Rating Scale [MADRS; Montgomery & Asberg, 1979] ≤ 12; Young Mania Rating Scale [YMRS; Young, Biggs, Ziegler, & Meyer, 1978] ≤ 12), and taking psychotropic medications that had been stable for at least 3 months. Individuals were excluded if they had current alcohol or other substance dependence; had an unstable medical condition; were pregnant, lactating, or planned to become pregnant during the study interval; had received treatment for smoking cessation within 30 days of screening; or tested positive for drugs other than cannabis. Individuals who tested positive for cannabis were enrolled only if they agreed to refrain from marijuana in the 24hr prior to study visits. This study was approved by the University of Cincinnati Institutional Review Board, and participants provided written informed consent.

A Mood Management Intervention in an Internet Stop Smoking Randomized Controlled Trial Does Not Prevent Depression: A Cautionary Tale.

Smoking and depression are related, and mood management interventions included in smoking cessation interventions can increase smoking abstinence rates. Could a mood management intervention embedded in an Internet-based smoking cessation intervention prevent major depressive episodes? Spanish- and English-speaking smokers (N = 17,430) from 191 countries were randomized to one of four online self-help intervention conditions (two with mood management). We analyzed preventive effects among those participants without a major depressive episode at baseline. The mood management intervention did not reduce the incidence of major depressive episodes in the following 12 months. However, we found a mood management by depression risk interaction (OR = 1.77, p = .004), such that high-risk participants who received the mood management intervention had an increased occurrence of major depressive episodes (32.8% vs. 26.6%), but not low-risk participants (11.6% vs. 10.8%). Further research on whether mood management interventions may have deleterious effects on subsets of smokers appears warranted.

From Online Randomized Controlled Trials to Participant Preference Studies: Morphing the San Francisco Stop Smoking Site into a Worldwide Smoking Cessation Resource

BackgroundInternet interventions have the potential to address many of the health problems that produce the greatest global burden of disease. We present a study illustrating this potential. The Spanish/English San Francisco Stop Smoking Internet site, which yielded quit rates of 20% or more at 12 months in published randomized controlled trials (RCTs), was modified to make it accessible to Spanish- and English-speaking smokers 18 years of age or older anywhere in the world.ObjectiveTo illustrate that Internet interventions designed to conduct RCTs can be adapted to serve as universal health care resources. We also examine quit rates obtained in the current participant preference study (in which users could choose from all elements tested in previous RCTs) to determine whether they differ from the quit rates found in the RCTs.MethodsWe modified the San Francisco Stop Smoking Internet site so that, instead of being randomly assigned to a specific intervention, participants could personalize the site by choosing among nine site elements (eg, stop smoking guide, reminder emails, journal, mood management intervention, or virtual group). Participants completed a baseline assessment, and reported smoking and mood data at 1-, 3-, 6-, and 12-month follow-ups. We assessed the modified website’s reach and outcomes (quit rates), and compared the quit rates of the current participant preference study with those of the previous RCTs.ResultsIn the first year of recruitment, 94,158 individuals from 152 countries and territories visited the site; 13,488 participants left some data; 9173 signed consent; 7763 completed the baseline survey; and 1955, 1362, 1106, and 1096 left 1-, 3-, 6-, and 12-month data, respectively. Observed quit rates were 38.1% (n = 668), 44.9% (n = 546), 43.6% (n = 431), and 45.4% (n = 449), respectively. The current participant preference study yielded higher observed quit rates (odds ratio 1.30) than the previous RCT when controlling for individuals’ demographic and smoking characteristics.ConclusionsAfter strict RCTs are completed, Internet intervention sites can be made into worldwide health intervention resources without reducing their effectiveness.Trial RegistrationClinicaltrials.gov NCT00721786; http://clinicaltrials.gov/ct2/show/NCT00721786 (Archived by WebCite at http://www.webcitation.org/66npiZF4y)

Mood Management Intervention for College Smokers With Elevated Depressive Symptoms: A Pilot Study

Objective: This pilot study examined smoking reduction and cessation among college smokers with elevated depressive symptomatology participating in a group-based behavioral counseling, mood management, and motivational enhancement combined intervention (CBT). Participants and Methods: Fifty-eight smokers (smoked 6 days in the past 30) were randomized to 6 sessions of CBT (n = 29) or a nutrition-focused attention-matched control group (CG; n = 29). Results: Relative to CG participants, significantly more CBT participants reduced smoking intensity by 50% (χ2[1, N = 58] = 4.86, p = .028) at end of treatment. Although CBT participants maintained smoking reductions at 3- and 6-month follow-up, group differences were no longer significant. No group differences in cessation emerged. Finally, participants in both groups evidenced increased motivation to reduce smoking at end of treatment (F[1, 44] = 11.717, p = .001, ηp 2 = .207). Conclusions: Findings demonstrate the utility of this intervention for smoking reduction and maintenance of reductions over time among a population of college students with elevated depressive symptomatology.

Effectiveness of a mood management component as an adjunct to a telephone counselling smoking cessation intervention for smokers with a past major depression: a pragmatic randomized controlled trial

To assess whether the addition of a mood management component to telephone counselling produces higher abstinence rates in smokers with past major depression and helps to prevent recurrence of depressive symptoms. Pragmatic randomized controlled trial with two conditions, with follow-up at 6 and 12 months. The control intervention consisted of eight sessions of proactive telephone counselling. The mood management intervention was an integration of the control intervention with a mood management component. This component consisted of a self-help mood management manual, two more preparatory proactive telephone counselling sessions and supplementary homework assignments and advice. Dutch national smoking cessation quitline. A total of 485 daily smokers with past major depression, according to the DSM-IV. The primary outcome measure was prolonged abstinence and secondary outcome measures were 7-day point prevalence abstinence and depressive symptoms. The mood management intervention resulted in significantly higher prolonged abstinence rates at 6- and 12-month follow-up (30.5% and 23.9% in experimental condition, 22.3% and 14.0% in the control condition). The odds ratios were 1.60 (95% CI 1.06-2.42) and 1.96 (95% CI 1.22-3.14) for both follow-ups. The mood management intervention did not seem to prevent recurrence of depressive symptoms. Adding a mood management component to telephone counselling for smoking cessation in smokers with a past major depression increases cessation rates without necessarily reducing depressive symptoms.

Positive Affect and Mood Management in Successful Smoking Cessation

To examine the influence of positive affect and mood-management in the completion and success of an Internet-based smoking cessation intervention. Participants were recruited online (n = 1000) and randomized to 4 different interventions. Half of the participants received a mood-management tool. Retention was predicted by positive affect at 3 and 12 months. There was a higher 12-month abstinence rate among those who were assigned to the mood-management intervention and had initial low positive affect. The study supports the inclusion of mood-management tools in smoking cessation interventions and indicates that positive affect increases persistence to quit smoking.

Effect of depressive symptoms on smoking abstinence and treatment adherence among smokers with a history of alcohol dependence.

This study examined the effect of depressive symptoms on smoking abstinence and treatment adherence among smokers with a past history of alcohol dependence. Participants (24 women, 27 men) were randomly assigned to behavioral counseling (BC) or behavioral counseling plus cognitive-behavioral mood management training (CBT). The Hamilton Rating Scale for Depression (HRSD; M. Hamilton, 1967) was administered to assess baseline depressive symptoms. Participants who received CBT and had higher HRSD scores were more likely to achieve short-term abstinence from smoking and attend more treatment sessions than those with lower depression scores, whereas for BC participants the effect of HRSD scores was the opposite. Smokers with a history of alcohol dependence reporting high levels of depressive symptoms may benefit from a mood management intervention.

On the Road to A World Without Depression

This is an English translation of the 1999 George Albee Lecture on Primary Prevention, presented by Ricardo F. Munoz at the World Congress of the World Federation for Mental Health in Santiago, Chile, September 8, 1999. The English version is true to the original and maintains the colloquial style of the verbal presentation. Munoz highlights the need for prevention efforts to address the many public health problems linked to depression. He reviews empirical evidence regarding these links including depression and substance abuse, and the effect of providing mood management interventions to ameliorate problems linked to depression. He ends by describing past and current studies being carried out at San Francisco General Hospital which illustrate the feasibility of influencing many public health problems by providing prevention interventions focused on depression.