To describe the relationships between non-alcoholic fatty-liver disease (NAFLD) patient’s disease consequences and treatment perceptions, self-efficacy, and healthy lifestyle maintenance. A cross-sectional study among 146 ultrasound diagnosed NAFLD patients who visited the fatty liver clinic at the Tel-Aviv Medical Center. Eighty-seven of these individuals, participated in a clinical trial of physical activity and underwent fasting blood tests, analyzed at the same lab. Exclusion criteria included positivity for serum HBsAg or anti-HCV antibodies; fatty liver suspected to be secondary to hepatotoxic drugs; excessive alcohol consumption (≥ 30 g/d in men or ≥ 20 g/d in women) and positive markers of genetic or immune-mediated liver diseases. Patients were asked to complete a self-report structured questionnaire, assembled by the Israeli Center for Disease Control. Nutrition habits were measured using six yes/no questions (0 = no, 1 = yes) adopted from the national survey questionnaire. Participants in the clinical trial completed a detailed semi-quantitative food frequency questionnaire (FFQ) reporting their habitual nutritional intake during the past year. Self-efficacy was assessed by the Self-Efficacy Scale questionnaire, emotional representation, degree of illness understanding, timeline perception, treatment perception and symptoms were measured by the Brief Illness Perception questionnaire. Illness consequences were measured by the Personal Models of Diabetes Interview questionnaire. A path analysis was performed to describe the interrelationships between the patients’ illness perceptions, and assess the extent to which the data fit a prediction of nutritional habits. The study sample included 54.1% men, with a mean age of 47.76 ± 11.68 years (range: 20-60) and mean body mass index of 31.56 ± 4.6. The average perceived nutrition habits score was 4.73 ± 1.45 on a scale between 0-6, where 6 represents the healthiest eating habits. Most of the study participants (57.2%) did not feel they fully understood what NAFLD is. Better nutritional habits were positively predicted by the degree of illness understanding (β = 0.26; P = 0.002) and self-efficacy (β = 0.25; P = 0.003). Perceptions of more severe illness consequences were related with higher emotional representation (β = 0.55; P < 0.001), which was related with lower self-efficacy (β = -0.17; P = 0.034). The perception of treatment effectiveness was positively related with self-efficacy (β = 0.32; P < 0.001). In accordance with the correlation between self-efficacy and the perceived nutrition habits score, self-efficacy was also correlated with nutrient intake evaluated by the FFQ; negatively with saturated fat (percent of saturated fat calories from total calories) (r = -0.28, P = 0.010) and positively with fiber (r = 0.22, P = 0.047) and vitamin C intake (r = 0.34, P = 0.002). In a sub analysis of the clinical trial participants, objectively measured compliance to physical activity regimen was positively correlated with the self-efficacy level (r = 0.34, P = 0.046). Self-efficacy and illness understanding are major determinants of lifestyle-modification among NAFLD patients. This information can assist clinicians in improving compliance with lifestyle changes among these patients.

This paper identifies and describes measures of constructs relevant to the adoption or implementation of innovations (i.e., new policies, programs or practices) at the organizational-level. This work is intended to advance the field of dissemination and implementation research by aiding scientists in the identification of existing measures and highlighting methodological issues that require additional attention. We searched for published studies (1973–2013) in 11 bibliographic databases for quantitative, empirical studies that presented outcome data related to adoption and/or implementation of an innovation. Included studies had to assess latent constructs related to the “inner setting” of the organization, as defined by the Consolidated Framework for Implementation Research. Of the 76 studies included, most (86%) were cross sectional and nearly half (49%) were conducted in health care settings. Nearly half (46%) involved implementation of evidence-based or “best practice” strategies; roughly a quarter (26%) examined use of new technologies. Primary outcomes most often assessed were innovation implementation (57%) and adoption (34%); while 4% of included studies assessed both outcomes. There was wide variability in conceptual and operational definitions of organizational constructs. The two most frequently assessed constructs included “organizational climate” and “readiness for implementation.” More than half (55%) of the studies did not articulate an organizational theory or conceptual framework guiding the inquiry; about a third (34%) referenced Diffusion of Innovations theory. Overall, only 46% of articles reported psychometric properties of measures assessing latent organizational characteristics. Of these, 94% (33/35) described reliability and 71% (25/35) reported on validity. The lack of clarity associated with construct definitions, inconsistent use of theory, absence of standardized reporting criteria for implementation research, and the fact that few measures have demonstrated reliability or validity were among the limitations highlighted in our review. Given these findings, we recommend that increased attention be devoted toward the development or refinement of measures using common psychometric standards. In addition, there is a need for measure development and testing across diverse settings, among diverse population samples, and for a variety of types of innovations.

Despite recommendations for cancer screening for breast and colorectal cancer among the Medicare population, preventive screenings rates are often lower among vulnerable populations such as the small but rapidly growing older American Indian and Alaska Native (AIAN) population. This study seeks to identify potential disparities in the availability of screening services, distance to care, and the utilization of cancer screening services for Medicare beneficiaries residing in areas with a higher concentration of AIAN populations.

Falls incidence rates and associated injuries are projected to increase among rural-dwelling older adults, which highlights the need for effective interventions to prevent falls and manage fall-related risks. The purpose of this descriptive study was to identify the geospatial dissemination of eight evidence-based fall prevention programs (e.g., A Matter of Balance, Stepping On, Tai Chi, Otago Exercise Program) across the United States (U.S.) in terms of participants enrolled, workshops delivered, and geospatial reach. These dissemination characteristics were compared across three rurality designations (i.e., metro areas; non-metro areas adjacent to metro areas; and, non-metro areas not adjacent to metro areas). Data were analyzed from a national repository of 39 Administration for Community Living (ACL) grantees from 2014–2017 (spanning 22 states). Descriptive statistics were used to assess program reach, delivery-site type, and completion rate by rurality. Geographic information systems (GIS) geospatially represented the collective reach of the eight interventions. Of the 45,812 participants who attended a fall prevention program, 12.7% attended workshops in non-metro adjacent areas and 6.6% attended workshops in non-metro non-adjacent areas. Of the 3755 workshops delivered (in over 550 unique counties), most were delivered in senior centers (26%), residential facilities (20%), healthcare organizations (13%), and faith-based organizations (9%). On average, the workshop attendance/retention rates were consistent across rurality (~70%). Findings highlight the need to diversify the delivery infrastructure for fall prevention programs to adequately serve older adults in rural areas. Ongoing efforts are needed to offer sustainable technical assistance and to develop scalable clinical-community referral systems to increase fall prevention program participation among rural-dwelling older adults.

Regular physical activity (PA) is a major factor in maintaining health in aging populations. This study examines the influences of sociodemographic, health, and environmental characteristics on older adults’ walking behaviors, and the role physicians can play in promoting physical activity. Online and paper surveys (n = 272) were distributed to community-dwelling older (age ≥ 60) adults from a large integrated healthcare system in two counties in Central Texas. Descriptive statistics were utilized to characterize participant’s walking behaviors and places. Multivariate logistic regression was employed to predict being: 1) a frequent walker (i.e., walking at least three times a week); and 2) meeting the Centers for Disease Control and Prevention (CDC) PA recommendation through walking (i.e., walking ≥150 min per week), while considering sociodemographic, health, and environmental factors. Individuals had a median age of 69 years, were of both genders (50.37 % female), and were primarily non-Hispanic White (84.87 %). While the majority (59.55 %) walked at least three times a week, only 27.86 % walked ≥150 min a week. Factors associated with a lower likelihood of being frequent walkers included experiencing poor mental health in the past month (OR = 0.345, 95 % CI = 0.185–0.645) and residing in areas with low or moderate (versus high) perceived neighborhood cohesion (OR = 0.471, 95 % CI = 0.228–0.974), while those in Census Tracts reflecting populations with a lower median age were more likely to report frequent walking behavior (OR = 1.799, 95 % CI = 1.034–3.131). Factors associated with a lower likelihood of meeting the CDC PA recommendation included being 60–69 years (versus 70 years or older) (OR = 0.538, 95 % CI = 0.290–0.997), experiencing poor mental health in the past month (OR = 0.432, 95 % CI = 0.198–0.944), and lacking social support for walking (OR = 0.383, 95 % CI = 0.154–0.957). Given the health benefits, PA promotion must be seen as a national responsibility. In particular, physicians have a major role to play in communicating the importance of PA to their older patients and making discussions about strategies for overcoming barriers to walking an integral part of their clinical encounter with these patients.