Identifying patient-level factors associated with interest in psychosocial services during cancer: A brief report.

OBJECTIVES: Uptake of psychosocial services during cancer treatment remains relatively low. To use these services efficiently, novel approaches - based on evidence-based theory - are needed to understand cancer patients' readiness to seek psychosocial services. Guided by the transtheoretical model (TTM), we investigated individuals' readiness to use psychosocial services by assessing decisional conflict (pros/cons) and self-efficacy, which are established as the most important constructs of predicting a specific behavior. METHODS: In these secondary analyses, we examined demographic and treatment-related factors in a national sample of adult cancer patients and survivors in the United States as predictors of decisional balance (pros/cons) and self-efficacy (i.e., two core TTM constructs) of engaging in psychosocial services. Participants were recruited through an online survey. In addition to examining demographic factors (age, sex, race, and marital status) as independent variables using t tests and correlations, treatment-related variables, such as having multiple cancers, type of cancer, type of treatment, and treatment setting were included. RESULTS: Four hundred and sixty-six participants completed the survey. The sample was primarily Caucasian (79%) and female (54.7%); average age was 47.9 (SD = 14.8). While no significant relationships emerged for self-efficacy, younger age and non-Caucasian race were significantly related to greater cons of seeking psychosocial care. Finally, those with multiple cancers versus reporting only one malignancy endorsed more cons of seeking psychosocial care. CONCLUSIONS: These data highlight the importance of measuring the cons of seeking psychosocial care during cancer treatment, with younger age, non-Caucasian, and those reporting experience with multiple cancers endorsing greater cons. This may impact eventual uptake of available services. Future research should identify individuals at risk for declining services based on perceived cons of seeking psychosocial care during cancer.

Development and Implementation of a Psychological Service for Patients With Cancer.

Cancer patients frequently experience considerable distress during diagnosis and treatment. The aims of this study were to describe the development and utilization of a psychological service for cancer patients at a community hospital-and to provide preliminary results on clinical outcomes in a "real-world" clinical setting. This program was developed collaboratively by individuals from a university-based clinical psychology doctoral program and a community hospital. The psychological service was comprised of a licensed, PhD-level clinical psychologist and seven clinical psychology doctoral students. Patients were typically referred by their oncologists or nurses. Distress, depression, and anxiety were evaluated for a small subsample of participants. From the time the program was initiated, 238 patients between ages 18 and 95 (M = 66.4) were evaluated over a 3-year period. Most patients (77.8%) were offered psychosocial care. Although 49.8% declined treatment, 23.6% attended one session and 26.6% attended two or more. Average number of individual sessions was 2.77 (SD=8.31, range=0-96) and 0.06 (SD=0.43, range=0-4) for groups sessions. Patients referred through the Survivorship Training and Rehabilitation (STAR) Program® (i.e., a program providing multidisciplinary services) were more likely to engage in psychosocial care than those who found out about behavioral health in other ways. Patients experienced declines in depression (Wilks' Λ=.580, F(2, 14)=5.08, p=.022), but not anxiety (Wilks' Λ=.613, F(2, 12)=3.79, p=.053) across sessions. An in-depth case description is provided. Distress tracking may be improved if nurses, oncologists, and behavioral health providers administer measures. Partnerships between clinical psychology doctoral programs and hospitals may be mutually beneficial - and may advance the dissemination and implementation of evidence-based psychosocial interventions. Hospitals offering cancer treatment may benefit from generating referrals for comprehensive cancer care. These efforts can serve as a model for other hospitals seeking to integrate behavioral health into routine cancer treatment.

Stages of change and psychotherapy outcomes: A review and meta-analysis.

The transtheoretical model and the stages of change are often used to adapt treatment to the individual client. The aims of this study were to review the stages of change and popular measures of change readiness in psychotherapy and to conduct a meta-analysis of the relation between readiness measures and psychotherapy outcomes. We report data from 76 studies, encompassing 25,917 patients. Moderate-sized effects (d = 0.41) were found for the association among multiple disorders, including substance and alcohol use, eating disorders, and mood disorders. Outcomes were a function of the pretreatment stage of change; that is, the farther a patient along the stages, the better the treatment outcomes. This review added 37 studies to the data reported in 2010, further strengthening the link between readiness and therapy outcomes. The article concludes with limitations of the research, diversity considerations, and therapeutic practices for stage matching in psychotherapy specifically and behavioral health more generally.

The Influence of Engagement and Satisfaction on Smoking Cessation Interventions: A Qualitative Study.

BACKGROUND: Tobacco use remains the leading cause of preventable disease and death. Most smokers are not motivated to quit; however, most smoking cessation interventions are designed for smokers who are ready to take action. OBJECTIVES: The aim of the present study was to describe participant engagement and satisfaction with telephonic smoking cessation coaching with a population of smokers at different stages of readiness to quit. METHODS: Qualitative description was used to capture the experiences of 62 individuals who participated in telephonic smoking cessation coaching using semistructured interviews. RESULTS: Results indicate that person-centered communication facilitated engagement and was valued equally or more than perceived coach smoking cessation knowledge. Engagement with the intervention was associated with increased satisfaction, smoking cessation/reduction and perceived convenience of intervention. Conclusions/Importance: Findings indicate that unmotivated smokers can be proactively recruited and engaged in telephonic smoking cessation treatment and that person-centered communication and convenience are important variables that should be considered when implementing health interventions. Telephonic coaching has the potential to reach a large segment of the population with access barriers and could lead to important health behavior change. Intensive provider training that includes person-centered communication strategies is strongly recommended. Specific suggestions for successful implementation and dissemination are provided.

Stages of change in obesity and weight management: factorial structure of the Italian version of the University of Rhode Island Change Assessment Scale.

PURPOSE: To examine the factorial structure of the University of Rhode Island Change Assessment Scale (IT-URICA) for weight management in a sample of Italian overweight and obese patients enrolled in a nutritional rehabilitation program. METHODS: 334 inpatients completed the translated and adjusted version of the IT-URICA at admission to the hospital. Psychometric testing included confirmatory factor analysis and internal consistency (Cronbach's α). RESULTS: The IT-URICA for weight management was successfully translated into Italian, and the factorial analysis confirmed the four-factor solution of the commonly accepted version of the measure. CONCLUSION: High levels of RTC are considered critical to the long-term success of weight management, and the IT-URICA may be an appropriate measure of motivational readiness for use among Italian overweight and obese patients. Its use is, therefore, recommended for clinical and research purposes.

Extending Theory-Based Quantitative Predictions to New Health Behaviors.

BACKGROUND: Traditional null hypothesis significance testing suffers many limitations and is poorly adapted to theory testing. PURPOSE: A proposed alternative approach, called Testing Theory-based Quantitative Predictions, uses effect size estimates and confidence intervals to directly test predictions based on theory. METHOD: This paper replicates findings from previous smoking studies and extends the approach to diet and sun protection behaviors using baseline data from a Transtheoretical Model behavioral intervention (N = 5407). Effect size predictions were developed using two methods: (1) applying refined effect size estimates from previous smoking research or (2) using predictions developed by an expert panel. RESULTS: Thirteen of 15 predictions were confirmed for smoking. For diet, 7 of 14 predictions were confirmed using smoking predictions and 6 of 16 using expert panel predictions. For sun protection, 3 of 11 predictions were confirmed using smoking predictions and 5 of 19 using expert panel predictions. CONCLUSION: Expert panel predictions and smoking-based predictions poorly predicted effect sizes for diet and sun protection constructs. Future studies should aim to use previous empirical data to generate predictions whenever possible. The best results occur when there have been several iterations of predictions for a behavior, such as with smoking, demonstrating that expected values begin to converge on the population effect size. Overall, the study supports necessity in strengthening and revising theory with empirical data.

Transtheoretical Model Constructs' Longitudinal Prediction of Sun Protection Over 24 Months.

PURPOSE: This research examined dynamic transtheoretical model (TTM) constructs for adopting sun protection practices. This secondary data analysis pooled four large population-based TTM-tailored intervention studies and examined use of constructs across three groups, organized by longitudinal progress: maintainers, relapsers, and stable non-changers. METHODS: A total of 3463 adults, in the USA, who met criteria for unsafe sun exposure at baseline received a TTM-tailored computerized intervention at baseline, 6 months, and 12 months. The final analytic sample consisted of 1894 participants; the majority were female, White, married, and middle-aged. The three groups were assessed with reliable and valid scales assessing use of TTM constructs at baseline, 6 months, 12 months, and 24 months. Analyses included a MANOVA followed by a series of ANOVAs, with Tukey follow-up tests assessing differences in use of TTM constructs across the three groups at each timepoint. RESULTS: Findings demonstrated that relapsers and maintainers were similar in their use of most TTM processes of change at baseline, with the exception of Consciousness Raising, Stimulus Control, Reinforcement Management, and Self-Liberation. CONCLUSIONS: These findings suggest that although relapsers reverted to unsafe sun practices, their overall greater use of processes of change indicates that their change efforts remain better than that of stable non-changers.

Fat Reduction Efforts: A 24-Month Longitudinal Comparison of a Large Sample of Maintainers, Relapsers, and Non-Changers.

This research examined dynamic transtheoretical model (TTM) constructs for dietary fat reduction. This secondary data analysis pooled three large population-based TTM-tailored school, worksite, medical, and home-based intervention studies and examined use of constructs across three groups organized by longitudinal progress (dynatypes): Maintainers, Relapsers, and Stable Non-Changers. The criteria for successful change, at the time, were that less than 30% of calories came from fat. A total of 2,718 adults met criteria for an unhealthy diet at baseline. The majority of participants were female, White, married, and middle-aged. Demographics, Stage of Change, Processes of Change, Decisional Balance, and Temptations were measured. Dynatype groups were assessed with reliable and valid scales assessing constructs at baseline and 6, 12, and 24 months. Analyses included a multivariate analysis of variance followed by a series of analyses of variance, with Tukey follow-up tests assessing differences in use of TTM constructs across the three groups at each time point. Relapsers and Maintainers were similar in their use of all TTM Processes of Change at baseline, with the exception of Self-Liberation (η(2) = 0.15, p < .001) and Reinforcement Management (η(2) = 0.01, p < .001). Although Relapsers reverted to an unhealthy diet, their overall greater use of Processes of Change suggests that their behaviors and strategy use remain better than that of the Stable Non-Changer group. Results suggest that specific cognitive and behavioral constructs may contribute differentially to intervention outcomes.

Randomized trial outcomes of a TTM-tailored condom use and smoking intervention in urban adolescent females.

Smoking and sexual risk behaviors in urban adolescent females are prevalent and problematic. Family planning clinics reach those who are at most risk. This randomized effectiveness trial evaluated a transtheoretical model (TTM)-tailored intervention to increase condom use and decrease smoking. At baseline, a total of 828 14- to 17-year-old females were recruited and randomized within four urban family planning clinics. Participants received TTM or standard care (SC) computerized feedback and stage-targeted or SC counseling at baseline, 3, 6 and 9 months. Blinded follow-up telephone surveys were conducted at 12 and 18 months. Analyses revealed significantly more consistent condom use in the TTM compared with the SC group at 6 and 12, but not at 18 months. In baseline consistent condom users (40%), significantly less relapse was found in the TTM compared with the SC group at 6 and 12, but not at 18 months. No significant effects for smoking prevention or cessation were found, although cessation rates matched those found previously. This TTM-tailored intervention demonstrated effectiveness for increasing consistent condom use at 6 and 12 months, but not at 18 months, in urban adolescent females. This intervention, if replicated, could be disseminated to promote consistent condom use and additional health behaviors in youth at risk.

Sustainable transportation stage of change, decisional balance, and self-efficacy scale development and validation in two university samples.

Single occupancy vehicle (SOV) transportation is a key contributor to climate change and air pollution. Sustainable transportation (ST), commuting by any means other than SOV, could both slow climate change and enhance public health. The transtheoretical model (TTM) provides a useful framework for examining how people progress towards adopting ST. Short valid and reliable measures for ST decisional balance, self-efficacy, and climate change doubt were developed and their relationship with stages of change was examined. Two large university-based volunteer samples participated in measurement studies. Using multiple procedures, three brief internally consistent measures were developed: decisional balance, self-efficacy, and climate change doubt. The stages of change correctly discriminated both decisional balance and self-efficacy, as well as replicated hypothesized relationships. Climate change doubt did not vary by stages; however, it may prove useful in future studies. Results support the validation of these measures and the application of the TTM to ST.

Transtheoretical Principles and Processes for Adopting Physical Activity: A Longitudinal 24-Month Comparison of Maintainers, Relapsers, and Nonchangers.

This study examined longitudinal differences in use of transtheoretical model (TTM) behavior change constructs in maintainers (who reached and maintained exercise guidelines), relapsers (who reached guidelines, then regressed), and nonchangers (who did not reach guidelines). Data from two population-based TTM-tailored randomized trial intervention groups targeting exercise behavior (N = 1050) were pooled, and analyses assessed differences in TTM constructs between the three groups at baseline, 12 months, and 24 months. Findings indicated that relapsers tended to use TTM variables similarly to maintainers with the exception of self-efficacy, consciousness raising, and most behavioral processes of change, at 24 months. Nonchangers, however, used all TTM variables less than maintainers at nearly every time point. Findings suggest that relapsers remain more active than nonchangers in terms of use of change processes. Poor response to interventions (nonchangers) may be predicted by low baseline engagement in change processes. Although relapsers reverted to physical inactivity, their overall greater use of TTM constructs suggests that their efforts to change remain better than those of the stable nonchanger group. Future research can focus on treatment engagement strategies to help the stable nonchangers initiate change and to help relapsers to maintain treatment gains.

Examining relationships between multiple health risk behaviors, well-being, and productivity.

Traditionally, the concept of health promotion has emphasized the reduction of health risk behaviors to reduce disease and impairment. Well-being research expands this focus to include positive constructs such as thriving, productivity, life-evaluation, and emotional and physical health. The objective of the present study was to examine the relationships between health risk behaviors and specific measures of individual well-being. Participants (N = 790) from 49 states completed a one-time online assessment that included the Life-Evaluation Index, Emotional and Physical Health Ladders, the Health Risk Intervention Assessment, and the Work Productivity and Activity Improvement Questionnaire for General Health. Life Evaluation and physical and emotional health were all inversely related to the number of health risk behaviors, with higher well-being scores associated with lower number of risk behaviors. Across the three Life Evaluation categories (Suffering, Struggling, and Thriving) the number of health risk behaviors decreased, productivity loss decreased, and emotional and physical health increased. The results add to previous research on how reducing multiple health risk behaviors can be combined with well-being, i.e., an emphasis on increasing life-evaluation, emotional and physical health, better functioning, and productivity.

Outcomes of cluster profiles within stages of change for sun protection behavior.

OBJECTIVE: Predictive and external validity was studied among cluster profiles for sun protection behavior within stages from Transtheoretical Model of behavior change using follow-up data. METHODS: Data from participants in a home-based expert system were analyzed. Longitudinal patterns of clusters on the precontemplation, contemplation, and preparation stages of change were assessed. Differences between clusters on membership in action/maintenance stages and scores on the Sun Protection Behavior Scale (SPBS) were measured at 12 and 24 months after intervention. RESULTS: Differences between clusters on stage progression and on scores from the SPBS were found at 12 and 24 months after intervention at all stages. DISCUSSION: Predictive and external validity of sun protection subtypes was established using sun protection variables after a stage-matched intervention. Results provide information to improve interventions for sun protection.

Treated individuals who progress to action or maintenance for one behavior are more likely to make similar progress on another behavior: coaction results of a pooled data analysis of three trials.

OBJECTIVE: This study compared, in treatment and control groups, the phenomena of coaction, which is the probability that taking effective action on one behavior is related to taking effective action on a second behavior. METHODS: Pooled data from three randomized trials of Transtheoretical Model (TTM) tailored interventions (n=9461), completed in the U.S. in 1999, were analyzed to assess coaction in three behavior pairs (diet and sun protection, diet and smoking, and sun protection and smoking). Odds ratios (ORs) compared the likelihood of taking action on a second behavior compared to taking action on only one behavior. RESULTS: Across behavior pairs, at 12 and 24 months, the ORs for the treatment group were greater on an absolute basis than for the control group, with two being significant. The combined ORs at 12 and 24 months, respectively, were 1.63 and 1.85 for treatment and 1.20 and 1.10 for control. CONCLUSIONS: The results of this study with addictive, energy balance and appearance-related behaviors were consistent with results found in three studies applying TTM tailoring to energy balance behaviors. Across studies, there was more coaction within the treatment group. Future research should identify predictors of coaction in more multiple behavior change interventions.

Factor structure of decisional balance and temptations scales for smoking: cross-validation in urban female African-American adolescents.

BACKGROUND: The transtheoretical model is an influential theoretical model in health psychology, particularly in its application to smoking cessation research. Decisional Balance (DB) and Temptations are key constructs within this framework. PURPOSE: This study examines the psychometric properties of the DB and Temptations scales for smoking in a predominantly African-American sample of urban adolescent girls. METHODS: We used confirmatory factor analysis to compare the fit of previously published factor structures in smokers (n = 233) and nonsmokers (n = 598). External validity was tested by examining stages of change differences in the retained subscales. RESULTS: Results supported the internal and external validity of the DB scale for smokers and nonsmokers. Notably, previously published three-factor (Social Pros, Coping Pros, Cons) and four-factor (Cons split into "Aesthetic Cons" and "Health Cons") models fit equally well, with Cons subscales correlating highly. For Temptations, a previously published three-factor (Negative Affect, Social, Weight Control) hierarchical model fit well in nonsmokers. In smokers, previously published subscales were reliably measured, but their structural relationship remained unclear. Stage difference tests showed medium to large effect sizes of DB and Temptation subscales in smokers and nonsmokers. CONCLUSIONS: The use of DB was validated for both smokers and nonsmokers in this sample of primarily African-American adolescent females, where Cons can be combined or separated into "Aesthetic Cons" and "Health Cons" based on practical utility and preference. For Temptations, more research is needed but large stage differences in Temptations subscales underscore the importance of this concept in smoking acquisition and cessation.

Cluster subtypes within the precontemplation stage of change for sun protection behavior.

The aim of this study is to identify replicable cluster subtypes within the precontemplation stage of change for sun protection. Secondary data analysis of baseline data from a sample of participants in a home-based expert system intervention was performed. Three random samples were selected from participants in the precontemplation stage (N = 570). Cluster analyses were performed using the scales of pros, cons, and self-efficacy. Interpretability of pattern, pseudo F-test, and dendograms were used to determine the number of clusters. A four-cluster solution replicated across subsamples. Significant differences between clusters on the nine processes of change and on behavioral measures were found. Cluster solutions were robust, interpretable and with good initial external validity. They replicated patterns found for other behaviors, demonstrating long-term predictability and providing basis for tailored interventions.

Baseline stage, severity, and effort effects differentiate stable smokers from maintainers and relapsers.

This cross-sectional study (N = 4,144) compared three longitudinal dynatypes (Maintainers, Relapsers, and Stable Smokers) of smokers on baseline demographics, stage, addiction severity, and transtheoretical model effort effect variables. There were significant small-to-medium-sized differences between the Stable Smokers and the other two groups on stage, severity, and effort effect variables in both treatment and control groups. There were few significant, very small differences on baseline effort variables between Maintainers and Relapsers in the control, but not the treatment group. The ability to identify Stable Smokers at baseline could permit enhanced tailored treatments that could improve population cessation rates.

Stages of change.

The transtheoretical model, in general, and the stages of change, in particular, have proven useful in adapting or tailoring treatment to the individual. We define the stages and processes of change and then review previous meta-analyses on their interrelationship. We report an original meta-analysis of 39 studies, encompassing 8,238 psychotherapy patients, to assess the ability of stages of change and related readiness measures to predict psychotherapy outcomes. Clinically significant effect sizes were found for the association between stage of change and psychotherapy outcomes (d = .46); the amount of progress clients make during treatment tends to be a function of their pretreatment stage of change. We examine potential moderators in effect size by study outcome, patient characteristics, treatment features, and diagnosis. We also review the large volume of behavioral health research, but scant psychotherapy research, that demonstrates the efficacy of matching treatment to the patient's stage of change. Limitations of the extant research are noted, and practice recommendations are advanced.

A meta-analysis of computer-tailored interventions for health behavior change.

OBJECTIVE: Computer-tailored interventions have become increasingly common for facilitating improvement in behaviors related to chronic disease and health promotion. A sufficient number of outcome studies from these interventions are now available to facilitate the quantitative analysis of effect sizes, permitting moderator analyses that were not possible with previous systematic reviews. METHOD: The present study employs meta-analytic techniques to assess the mean effect for 88 computer-tailored interventions published between 1988 and 2009 focusing on four health behaviors: smoking cessation, physical activity, eating a healthy diet, and receiving regular mammography screening. Effect sizes were calculated using Hedges g. Study, tailoring, and demographic moderators were examined by analyzing between-group variance and meta-regression. RESULTS: Clinically and statistically significant overall effect sizes were found across each of the four behaviors. While effect sizes decreased after intervention completion, dynamically tailored interventions were found to have increased efficacy over time as compared with tailored interventions based on one assessment only. Study effects did not differ across communication channels nor decline when up to three behaviors were identified for intervention simultaneously. CONCLUSION: This study demonstrates that computer-tailored interventions have the potential to improve health behaviors and suggests strategies that may lead to greater effectiveness of these techniques.

The benefits and challenges of multiple health behavior change in research and in practice.

OBJECTIVE: The major chronic diseases are caused by multiple risks, yet the science of multiple health behavior change (MHBC) is at an early stage, and factors that facilitate or impede scientists' involvement in MHBC research are unknown. Benefits and challenges of MHBC interventions were investigated to strengthen researchers' commitment and prepare them for challenges. METHOD: An online anonymous survey was e-mailed to listservs of the Society of Behavioral Medicine between May 2006 and 2007. Respondents (N=69) were 83% female; 94% held a doctoral degree; 64% were psychologists, 24% were in public health; and 83% targeted MHBC in their work. RESULTS: A sample majority rated 23 of the 24 benefits, but only 1 of 31 challenge items, as very to extremely important. Those engaged in MHBC rated the total benefits significantly higher than respondents focused on single behaviors, F(1,69)=4.21, p<.05, and rated the benefits significantly higher than the challenges: paired t(57)=7.50, p<.001. The two groups did not differ in ratings of challenges. CONCLUSION: It appears that individuals focused solely on single behaviors do not fully appreciate the benefits that impress MHBC researchers; it is not that substantial barriers are holding them back. Benefits of MHBC interventions need emphasizing more broadly to advance this research area.