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.

Cross-validation of transtheoretical model smoking cessation measures in Chicago WIHS women smokers with and at risk for HIV.

People with and at risk for HIV have high rates of smoking, increasing their morbidity and mortality. Effective cessation interventions are needed for this group. Transtheoretical model (TTM)-tailored interventions have demonstrated efficacy, but measures need cross-validation in this population. TTM cessation measures were evaluated in women smokers with and at risk for HIV (N = 111) from Chicago Women's Interagency HIV Study (WIHS). Confirmatory factor analyses evaluated measurement models. MANOVAs examined relationships between constructs and stage subgroups. For decisional balance, the two-factor uncorrelated model was best (χ2(20) = 13.96; comparative fit index [CFI], 1.0; root mean square error of approximation [RMSEA] = .00), with good (pros α = .78) and fair (cons α = .55) four-item alphas. The one-factor temptations model (α = .90) showed reasonable fit (χ2(18) = 80.22; CFI = .89; RMSEA = .177). Processes of change subscales had fair to good two-item alphas (α = .49-.77) and fit a 10-factor fully correlated model (χ2(125) = 222.72; CFI = .88; RMSEA = .084). MANOVAs by stage of change replicated expected patterns for the pros, overall temptations, and two process subscales with medium-sized effects (η2 = .06-.18). Contrary to expectations, no differences by stage were found for cons or temptation negative affect subscales. The structures of these TTM measures replicated with good internal and external validity, except for the cons, which needs refinement. Negative affect temptations was structurally sound, but did not vary by stage group potentially reflecting this sample's moderate depression levels and/or their reliance on smoking to deal with negative affect. Results support the use of most TTM measures in research and tailored interventions to increase smoking cessation among women smokers with and at risk for HIV and highlight the importance of managing negative affect in cessation materials targeting this group.

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.

Measures of psychosocial care utilization in a national sample of cancer patients.

OBJECTIVE: Cancer is one of the most physically and emotionally debilitating diseases. Despite evidence that psychosocial care can improve psychological and physiological functioning, as few as 4.4% of patients are willing to engage in psychosocial treatment. Few studies explored drivers of psychosocial care underutilization. Therefore, treatment engagement strategies are needed, by identifying patients' barriers to psychosocial treatment. This study evaluated readiness to utilize psychosocial care by developing transtheoretical model (TTM) measures of stage of change, decisional balance, and self-efficacy. METHOD: Online survey data was collected from a national sample of 475 adults (Mage = 47.89, SD = 14.77) with cancer diagnoses. A sequential process of measure development was used. Semistructured expert and research participant interviews were conducted for initial item development, followed by exploratory, confirmatory, and external validation analyses. RESULTS: Principal components analyses (PCA) indicated two, 4-item factors (pros α = .874; cons α = .716) for decisional balance. Confirmatory factor analyses (CFA) supported a 2-factor correlated model, χ²(19) = 68.56, CFI = .962, RMSEA = .078. For self-efficacy, PCA indicated two, 3-item components (physical α = .892; social/emotional α = .708). CFA supported this structure χ²(8) = 23.72, CFI = .989, RMSEA = .067. Physical component items included fatigue, pain, and discomfort. Multivariate analyses indicated significant cross-stage differences for pros, cons, and self-efficacy. CONCLUSIONS: Findings support the validity of the developed stage of change, 8-item decisional balance, and 6-item self-efficacy measures for psychosocial care. Clinicians could use these tools to address perceived cons of psychosocial care, including shame and self-efficacy (e.g., using psychosocial care despite pain). These scales may help treatment teams better address barriers to psychosocial care utilization. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Longitudinal analysis of intervention effects on temptations and stages of change for dietary fat using parallel process latent growth modeling.

The Dietary Guidelines for Americans recommend a 20-35 percent daily intake of fat. Resisting the temptation to eat high-fat foods, in conjunction with stage of readiness to avoid these foods, has been shown to influence healthy behavior change. Data ( N = 6516) from three randomized controlled trials were pooled to examine the relationships among direct intervention effects on temptations and stage of change for limiting high-fat foods. Findings demonstrate separate simultaneous growth processes in which baseline level of temptations, but not the rate of change in temptations, was significantly related to the change in readiness to avoid high-fat foods.

Intervention effects on stage transitions for adolescent smoking and alcohol use acquisition.

The health impacts of smoking and alcohol abuse have been long established with smoking representing one of the most preventable causes of disease and alcohol use the most popular psychoactive substance among adolescents. The current study evaluated stage of change progression in a large (N = 4,158) school-based, computer-delivered, transtheoretical model (TTM)-tailored multiple behavior intervention focused on preventing acquisition of smoking and alcohol use in adolescents. Assessments began in sixth grade and continued yearly until eighth grade, with a follow-up in ninth grade. Markov modeling was used to (a) characterize the best pattern of stage movement (e.g., no stage change, stage-sequential change, stages skipped), (b) test whether the identified pattern was stable over time (e.g., between assessments and after intervention completion), and (c) to determine whether the substance use prevention (SP) intervention effectively kept adolescents in acquisition stages (e.g., prevents stage movement toward substance use), relative to the comparison intervention. Major findings supported positive effects for both the intervention and comparison condition, which focused on energy balance (EB) behaviors and provided no direct intervention on substance use behaviors. Substantial differences in stage membership and transitions across intervention conditions highlighted the process of smoking and alcohol use acquisition in middle school students across each intervention condition. (PsycINFO Database Record

Intervention Effects on Stage of Change Membership and Transitions among Adolescent Energy Balance Behaviors.

The transition from childhood to adolescence is a crucial period for the development of healthy behaviors to be sustained later in life. With obesity a leading public health problem, the promotion of healthy behaviors has the potential to make a huge impact. The current study evaluated Stage of Change progression in a large (N = 4158) computer-delivered, Transtheoretical Model-tailored intervention focusing on physical activity and fruit and vegetable consumption (FV). Markov models were used to explore stage transitions and patterns of discrete change from sixth to ninth grade. Nested model comparisons examined the consistency of these patterns across time and intervention condition. Major findings supported models in which participants were free to transition forward and backward to any of the stages, but higher probabilities were observed for remaining in the same stage or for transitioning one or two stages forward. Participants in the intervention group had higher probabilities of transitioning toward Maintenance, with more change occurring relative to the comparison group during transitions from grades six to eight but not for grades eight to nine.

Assessing demographic differences in decisional balance for smoking prevention and temptations to try smoking among adolescent subgroups.

INTRODUCTION: Cigarette smoking initiation remains prevalent in adolescence. Effective prevention methods are needed to dissuade this behavior. Demographic factors are identified as important risk factors in the developmental nature of smoking in adolescence. The current study investigates potential demographic differences for two new trans-theoretical model measures, the Decisional Balance Inventory (pros and cons) for Smoking Prevention and the Temptations to Try Smoking Scale. METHODS: A sample of 6th grade Rhode Island students from 20 middle schools (N = 4151) who were participating in a longitudinal and computer-delivered intervention for substance abuse prevention was assessed on these measures at baseline. Three MANOVA tests were conducted to assess the impact of race (White vs. Non-White), ethnicity (Hispanic vs. Non-Hispanic) and gender (male vs female). RESULTS: Significant effects for race and ethnicity were found for Decisional Balance and Temptations to Try Smoking. For race, Whites reported lesser pros (p <.0001) and Non-Whites reported higher cons (p <.0001) and temptations to try smoking (p <.0001). Differences for ethnicity showed that Hispanics were higher on pros (p <.0001) and temptations to try smoking (p <.0001) than Non-Hispanics. Non-Hispanics reported higher cons (p <.0001). Gender differences were noted only for temptations to try smoking, and showed females were higher on this construct than males (p <.0001). The effect sizes were .01 or below. CONCLUSIONS: The results did not demonstrate a strong association between these demographics and constructs, suggesting that tailored prevention methods based solely on these factors may not dissuade smoking in this group.

Baseline Predictors of Singular Action Among Participants With Multiple Health Behavior Risks.

PURPOSE: Previous studies found that treatment effects can change two behaviors, but not one. This study examined baseline transtheoretical model constructs as three alternative predictors (stage of change, effort, and severity) of singular action among participants with co-occurring health behavior risks. DESIGN: The study examined participants at risk for three pairs of behaviors (sun and smoking; smoking and diet; and diet and sun). Analyses were conducted with participants who changed only one behavior in a pair (singular action). SETTING: School and home-based behavior change programs recruited participants via schools, worksites, and physician practices. School, worksite, medical, and home-based prevention programs were the study setting. SUBJECTS: The sample (N = 3213) was age 44.6 years (SD, 11.1 years), 94.6% white, and 63.7% female. MEASURES: Stages of change, effort, and severity variables were measured. ANALYSIS: Pooled data were analyzed using logistic regressions from three randomized controlled trials. RESULTS: Across all three behaviors, stage of change, effort, and severity effects were consistently related to behavior change at 24 months. Change efforts on one behavior were related to change on another behavior. Baseline sun severity (odds ratio, .97 [.94, 1.00]; p = .046) and smoking severity (odds ratio, .89 [.80, .98]; p = .019) were significant predictors of change on diet at final follow-up. CONCLUSION: Stage of change was the biggest predictor. Problem severity was the smallest predictor of change at 2-year follow-up. Four of six predictors were within behaviors, whereas two were between.

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.

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.

Reducing Sun Exposure for Prevention of Skin Cancers: Factorial Invariance and Reliability of the Self-Efficacy Scale for Sun Protection.

The Self-Efficacy Scale for Sun Protection consists of two correlated factors with three items each for Sunscreen Use and Avoidance. This study evaluated two crucial psychometric assumptions, factorial invariance and scale reliability, with a sample of adults (N = 1356) participating in a computer-tailored, population-based intervention study. A measure has factorial invariance when the model is the same across subgroups. Three levels of invariance were tested, from least to most restrictive: (1) Configural Invariance (nonzero factor loadings unconstrained); (2) Pattern Identity Invariance (equal factor loadings); and (3) Strong Factorial Invariance (equal factor loadings and measurement errors). Strong Factorial Invariance was a good fit for the model across seven grouping variables: age, education, ethnicity, gender, race, skin tone, and Stage of Change for Sun Protection. Internal consistency coefficient Alpha and factor rho scale reliability, respectively, were .84 and .86 for Sunscreen Use, .68 and .70 for Avoidance, and .78 and .78 for the global (total) scale. The psychometric evidence demonstrates strong empirical support that the scale is consistent, has internal validity, and can be used to assess population-based adult samples.

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.

Replicating cluster subtypes for the prevention of adolescent smoking and alcohol use.

INTRODUCTION: Substance abuse interventions tailored to the individual level have produced effective outcomes for a wide variety of behaviors. One approach to enhancing tailoring involves using cluster analysis to identify prevention subtypes that represent different attitudes about substance use. This study applied this approach to better understand tailored interventions for smoking and alcohol prevention. METHODS: Analyses were performed on a sample of sixth graders from 20 New England middle schools involved in a 36-month tailored intervention study. Most adolescents reported being in the Acquisition Precontemplation (aPC) stage at baseline: not smoking or not drinking and not planning to start in the next six months. For smoking (N=4059) and alcohol (N=3973), each sample was randomly split into five subsamples. Cluster analysis was performed within each subsample based on three variables: Pros and Cons (from Decisional Balance Scales), and Situational Temptations. RESULTS: Across all subsamples for both smoking and alcohol, the following four clusters were identified: (1) Most Protected (MP; low Pros, high Cons, low Temptations); (2) Ambivalent (AM; high Pros, average Cons and Temptations); (3) Risk Denial (RD; average Pros, low Cons, average Temptations); and (4) High Risk (HR; high Pros, low Cons, and very high Temptations). CONCLUSIONS: Finding the same four clusters within aPC for both smoking and alcohol, replicating the results across the five subsamples, and demonstrating hypothesized relations among the clusters with additional external validity analyses provide strong evidence of the robustness of these results. These clusters demonstrate evidence of validity and can provide a basis for tailoring interventions.

Co-occurrence and coaction of stress management with other health risk behaviors.

This study provides a preliminary investigation of the role of stress management in multiple behavior change. Risk status on stress management and five health behaviors (healthy eating, exercise, alcohol, smoking, and depression management) was assessed before and after a multiple behavior change intervention. Findings suggested a link between stress management and a worse health risk behavior profile at baseline. Results also showed relationships between improved stress management over 6 months and heightened odds of improving on specific behaviors as well as improving one's overall behavioral risk profile. Particularly strong links between stress management and energy balance and other affective behaviors were observed.

Validity and stability of the decisional balance for sun protection inventory.

The 8-item Decisional Balance for sun protection inventory (SunDB) assesses the relative importance of the perceived advantages (Pros) and disadvantages (Cons) of sun protective behaviors. This study examined the psychometric properties of the SunDB measure, including invariance of the measurement model, in a population-based sample of N = 1336 adults. Confirmatory factor analyses supported the theoretically based 2-factor (Pros, Cons) model, with high internal consistencies for each subscale (α ≥ .70). Multiple-sample CFA established that this factor pattern was invariant across multiple population subgroups, including gender, racial identity, age, education level, and stage of change subgroups. Multivariate analysis by stage of change replicated expected patterns for SunDB (Pros η (2) = .15, Cons η (2) = .02). These results demonstrate the internal and external validity and measurement stability of the SunDB instrument in adults, supporting its use in research and intervention.

Evaluation of the acceptability and feasibility of a computer-tailored intervention to increase human papillomavirus vaccination among young adult women.

OBJECTIVE: To examine acceptability and feasibility of a Transtheoretical Model (TTM)-based computer-tailored intervention (CTI) for increasing human papillomavirus (HPV) vaccination in college-aged women. PARTICIPANTS: Two hundred forty-three women aged 18-26 were recruited between February and May of 2011. METHODS: Participants completed the intervention and a 14-item evaluation of intervention content and delivery. RESULTS: Most participants had heard of HPV (91%), but the majority (57%) of participants were in Precontemplation for getting vaccinated. Eighty-nine percent of participants rated the CTI positively across all acceptability items, and 91% endorsed intention to get vaccinated after intervention. Although average ratings in each demographic subgroup were positive, Hispanic women and participants in more advanced stages of change rated the program more favorably than non-Hispanic and earlier-stage participants. Additionally, HPV knowledge was higher among white/non-Hispanic participants. CONCLUSIONS: Initial acceptability and feasibility data for this intervention are promising. Its computer-based, individually tailored format is state of the art and ideal for inexpensive dissemination.

Multiple behavior interventions to prevent substance abuse and increase energy balance behaviors in middle school students.

This study examined the effectiveness of two transtheoretical model-tailored, computer-delivered interventions designed to impact multiple substance use or energy balance behaviors in a middle school population recruited in schools. Twenty middle schools in Rhode Island including sixth grade students (N=4,158) were stratified and randomly assigned by school to either a substance use prevention (decreasing smoking and alcohol) or an energy balance (increasing physical activity, fruit and vegetable consumption, and limiting TV time) intervention group in 2007. Each intervention involved five in-class contacts over a 3-year period with assessments at 12, 24, and 36 months. Main outcomes were analyzed using random effects modeling. In the full energy balance group and in subsamples at risk and not at risk at baseline, strong effects were found for physical activity, healthy diet, and reducing TV time, for both categorical and continuous outcomes. Despite no direct treatment, the energy balance group also showed significantly lower smoking and alcohol use over time than the substance use prevention group. The energy balance intervention demonstrated strong effects across all behaviors over 3 years among middle school students. The substance use prevention intervention was less effective than the energy balance intervention in preventing both smoking and alcohol use over 3 years in middle school students. The lack of a true control group and unrepresented secular trends suggest the need for further study.