Comparing the factorial structure, invariance, and predictive validity of transtheoretical model constructs for alcohol use across restricted and unrestricted settings

With substance abuse treatment expanding in prisons and jails, understanding how behavior change interacts with a restricted setting becomes more essential. The Transtheoretical Model (TTM) has been used to understand intentional behavior change in unrestricted settings, however, evidence indicates restrictive settings can affect the measurement and structure of the TTM constructs. The present study examined data from problem drinkers at baseline and end-of-treatment from three studies: (1) Project CARE (n = 187) recruited inmates from a large county jail; (2) Project Check-In (n = 116) recruited inmates from a state prison; (3) Project MATCH, a large multi-site alcohol study had two recruitment arms, aftercare (n = 724 pre-treatment and 650 post-treatment) and outpatient (n = 912 pre-treatment and 844 post-treatment). The analyses were conducted using cross-sectional data to test for non-invariance of measures of the TTM constructs: readiness, confidence, temptation, and processes of change (Structural Equation Modeling, SEM) across restricted and unrestricted settings. Two restricted (jail and aftercare) and one unrestricted group (outpatient) entering treatment and one restricted (prison) and two unrestricted groups (aftercare and outpatient) at end-of-treatment were contrasted. In addition TTM end-of-treatment profiles were tested as predictors of 12 month drinking outcomes (Profile Analysis). Although SEM did not indicate structural differences in the overall TTM construct model across setting types, there were factor structure differences on the confidence and temptation constructs at pre-treatment and in the factor structure of the behavioral processes at the end-of-treatment. For pre-treatment temptation and confidence, differences were found in the social situations factor loadings and in the variance for the confidence and temptation latent factors. For the end-of-treatment behavioral processes, differences across the restricted and unrestricted settings were identified in the counter-conditioning and stimulus control factor loadings. The TTM end-of-treatment profiles were not predictive of drinking outcomes in the prison sample. Both pre and post-treatment differences in structure across setting types involved constructs operationalized with behaviors that are limited for those in restricted settings. These studies suggest the TTM is a viable model for explicating addictive behavior change in restricted settings but calls for modification of subscale items that refer to specific behaviors and caution in interpreting the mean differences across setting types for problem drinkers. ^

The association between mental health and hypertension in the 2005 Department of Defense Population Survey

Major objectives within Healthy People 2010 include improving hypertension and mental health management of the American population. Both mental health issues and hypertension exist in the military which may decrease the health status of military personnel and diminish the ability to complete assigned missions. Some cases may be incompatible with military service even with optimum treatment. In the interest of maintaining a fit fighting force, the Department of Defense regularly conducts a survey of health related behaviors among active duty military personnel. The 2005 DoD Survey was conducted to obtain information regarding health and behavioral readiness among active duty military personnel to assess progress toward selected Healthy People 2010 objectives. ^ This study is a cross-sectional prevalence design looking at the association of hypertension treatment with mental health issues (either treatment or perceived need for treatment) within the military population sampled in the 2005 DoD Survey. There were 16,946 military personnel in the final cross-sectional sample representing 1.3 million active duty service members. The question is whether there is a significant association between the self-reported occurrence of hypertension and the self-reported occurrence of mental health issues in the 2005 DoD Survey. In addition to these variables, this survey examined the contribution of various sociodemographic, occupational, and behavioral covariates. An analysis of the demographic composition of the study variables was followed by logistic analysis, comparing outcome variables with each of the independent variables. Following univariate regression analysis, multivariate regression was performed with adjustment (for those variables with an unadjusted alpha level less than or equal to 0.25). ^ All the mental health related indicators were associated with hypertension treatment. The same relationship was maintained after multivariate adjustment. The covariates remaining as significant (p < 0.05) in the final model included gender, age, race/ethnicity and obesity. There is a need to recognize and treat co-morbid medical diagnoses among mental health patients and to improve quality of life outcomes, whether in the military population or the general population. Optimum health of the individual can be facilitated through discovery of treatable cases, to minimize disruptions of military missions, and even allow for continued military service. ^

"Teens talk healthy weight": A video technology project

Purpose. The purpose of this study was to investigate the impact of a motivational weight management DVD on knowledge of obesity related diseases, readiness, motivation, and self-efficacy to lose weight, connectedness to their care provider, and patients return to clinic. Design. A randomized control trial was conducted in which 40 overweight/obese adolescents and their parents/caregivers were randomly assigned to standard care alone or standard care plus DVD. Subjects completed a set of pre- and post-questionnaire measures. A group of 22 patients was also formed as a historical control group in order to account for the potential effect of extra attention given to subjects prospectively enrolled. Methods. The adolescents and their parent/caregiver were placed into a patient room. Consent was obtained and a set of written pre-questionnaires were given to both the parent and the adolescent. Standard care was provided to all patients by the Registered Dietitian and physician; the DVD was shown in addition to standard care among the intervention group. A set of post-questionnaires were given and compensation was provided. Analysis. Groups were compared to determine equivalence at baseline. Analysis of covariance was used to evaluate changes over time, while controlling for pre-test scores and race/ethnicity. Results. Parents who viewed the DVD experienced greater changes in correct knowledge as compared to parents who did not view the DVD. Conclusion. Our study found only one substantial benefit of the DVD beyond standard clinical practices. This is an important area for change as it increased awareness of obesity as a serious disease and has future clinical implications.^

Air Force Web Preventive Health Assessment (AF WEBPHA) mental health screening effectiveness

The U.S. Air Force assesses Active Duty Air Force (ADAF) health annually using the Air Force Web-based Preventative Health Assessment (AF WebPHA). The assessment is based on a self-administered survey used to determine the overall Air Force health and readiness, as well as, the individual health of each airman. Individual survey responses as well as groups of responses generate further computer generated assessment and result in a classification of 'Critical', 'Priority', or 'Routine', depending on the need and urgency for further evaluation by a health care provider. The importance of the 'Priority' and 'Critical' classifications is to provide timely intervention to prevent or limit unfavorable outcomes that may threaten an airman. Though the USAF has been transitioning from a paper form to the online WebPHA survey for the last three years it was not made mandatory for all airmen until 2009. The survey covers many health aspects including family history, tobacco use, exercise, alcohol use, and mental health. ^ Military stressors such as deployment, change of station, and the trauma of war can aggravate and intensify the common baseline worries experienced by the general population and place airmen at additional risks for mental health concerns and illness. This study assesses the effectiveness of the AF WebPHA mental health screening questions in predicting a mental health disorder diagnosis according to International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes generated by physicians or their surrogates. In order to assess the sensitivity, specificity, and positive predictive value of the AF WebPHA as a screening tool for mental health, survey results were compared to ascertain if they generated any mental health disorder related diagnosis for the period from January 1, 2009 to March 31, 2010. ^ Statistical analysis of the AF WebPHA mental health responses when compared with matching ICD-9-CM codes found that the sensitivity for 'Critical' or 'Priority' responses was only 3.4% and that it would correctly predict those who had the selected mental health diagnosis 9% of the time.^

Practice and attitude differences in physician cigarette use: A study of prevalence, physicians' role, and smoking policy awareness in Dubai, UAE

The use of tobacco products ruins the health of millions of people around the world. On average, tobacco users die nearly seven years earlier than non-tobacco users. n1 Cigarette smoking is a particular concern in the developing countries of the Middle East and Gulf Cooperation Council (GCC) region where smoking prevalence is expected to increase. This is due to the tobacco industry's vigorous commercial and marketing activities. n3 Smoking prevalence among physicians is considered to be an effective indicator of a society's readiness to identify the smoking epidemic and its related health diseases. n4 There is a lack of detailed data on the smoking prevalence among healthcare professionals, particularly physicians, in the United Arab Emirates (UAE). This cross sectional study is the first to address smoking practices among physicians working at the Department of Health and Medical Services (DOHMS); in Dubai, UAE. ^ This study describes the cigarette smoking prevalence among DOHMS Physicians, physician attitudes towards tobacco use and tobacco bans; physician attitudes towards smoking cessation techniques (among smokers and non-smokers); and physician awareness of official anti-smoking policies. Data for the study was collected through the use of an adapted WHO standardized questionnaire, the Global Health Professionals Survey. The questionnaire was administered by the researcher to physicians (n=288) at their work place. Date was analyzed using the SPSS analytic software program. ^ Twelve percent of DOHMS physicians smoked cigarettes. Regardless of smoking status, the majority supported a tobacco ban in hospitals and public places, and a ban on tobacco advertising. There is a significant relationship between physician smoking status and discussing risks of tobacco use (p < 0.05). Non-smoking physicians reported spending more time with patients discussing hazards of smoking (p < 0.01). Non-smokers reported providing more counseling than their smoking colleagues. The majority of DOHMS physicians (63%) reported a lack of knowledge about 5As/ 5Rs. The majority of physicians also reported they are aware of hospital smoking policies that restrict smoking. Regardless of physician smoking status, DOHMS physicians are not very actively involved in smoking cessation activities. This cross sectional study is the first to address smoking programs, policies, and practices among physicians in Dubai, UAE. Findings support the need for increased physical smoking cessation training as well as the development of smoking cessation programs for tobacco control, and programs with a focus on physician participation in reducing tobacco and cigarette use among the general population.^

Analytical frame for public policy implementation

"I don't think we truly understand how to implement. What does it mean to truly implement? Not the command center type that our culture is very good at, but a thorough planned systematic approach" (HP, 9.28.2011). This important question is asked by a clinician who works in a health care setting and who has experienced the implementation of a public policy. This case study applied the lessons learned from three generations of public policy research to a health care setting. As a result of the study an analytical frame was created as a guide to assess an organization's readiness for the implementation of a public policy.^

A Step in the Right Direction: Development of the Computerized Assessment for Preschool Social Emotional Learning (CAPSEL)

Invited commentary on "Computerizing Social-Emotional Assessment for School Readiness".