Quality of Care for Huntington's Disease in the United States: Findings from a National Survey of Patients and Caregivers

BACKGROUND

Little is known about the quality of care for people living with Huntington's disease (HD) in the United States.

OBJECTIVE

To document the current HD care experience and identify gaps in care provision in the United States.

METHODS

Web-based surveys for persons self-identifying as being affected by HD (PAHD, which included individuals with, or at risk for HD) or as caregivers/family members, were developed and refined with targeted input from focus groups comprised of caregivers and family members. The surveys were disseminated via social media and patient advocacy partners from April-May 2017.

RESULTS

Total valid responses numbered 797, including 585 caregiver/family respondents and 212 PAHD responses. Respondents reported care provision from HD specialty centers, primary care, movement disorder clinics, and other settings. One in five respondents reported that the person with HD was not currently receiving medical or community care. Respondents generally reported a good level of care, with HD specialists providing the highest rated healthcare experience. Caregiver/family respondents reported helping with a range of activities including budget/finances (60.5%), housekeeping (57.1%) and daily help (53.2%). Most respondents (97.9%) reported searching online, including general information about HD (86.4%), using HD social media channels (61.3%) and looking up clinical trials (59.8%). Respondents emphasized a need for support in financial planning and accessing care, and also for more HD education in the medical community.

CONCLUSIONS

There is need for more support for HD patients and families. People desire more credible, accessible information. Improving resources available to patients and families should be a goal for HD organizations, along with measurement of patient outcomes.

Development and implementation of the National Cancer Institute's Food Attitudes and Behaviors Survey to assess correlates of fruit and vegetable intake in adults

Background

Low fruit and vegetable (FV) intake is a leading risk factor for chronic disease globally as well as in the United States. Much of the population does not consume the recommended servings of FV daily. This paper describes the development of psychosocial measures of FV intake for inclusion in the U.S. National Cancer Institute’s 2007 Food Attitudes and Behaviors Survey.

Methods

This was a cross-sectional study among 3,397 adults from the United States.

Scales included conventional constructs shown to be correlated with fruit and vegetable intake (FVI) in prior studies (e.g., self-efficacy, social support), and novel constructs that have been measured in few- to- no studies (e.g., views on vegetarianism, neophobia). FVI was assessed with an eight-item screener. Exploratory factor analysis, Cronbach’s alpha, and regression analyses were conducted.

Results

Psychosocial scales with Cronbach’s alpha ≥0.68 were self-efficacy, social support, perceived barriers and benefits of eating FVs, views on vegetarianism, autonomous and controlled motivation, and preference for FVs. Conventional scales that were associated (p<0.05) with FVI were self-efficacy, social support, and perceived barriers to eating FVs. Novel scales that were associated (p<0.05) with FVI were autonomous motivation, and preference for vegetables. Other single items that were associated (p<0.05) with FVI included knowledge of FV recommendations, FVI “while growing up”, and daily water consumption.

Conclusion

These findings may inform future behavioral interventions as well as further exploration of other potential factors to promote and support FVI.

Sharing behavioral data through a grid infrastructure using data standards

OBJECTIVE

In an effort to standardize behavioral measures and their data representation, the present study develops a methodology for incorporating measures found in the National Cancer Institute's (NCI) grid-enabled measures (GEM) portal, a repository for behavioral and social measures, into the cancer data standards registry and repository (caDSR).

METHODS

The methodology consists of four parts for curating GEM measures into the caDSR: (1) develop unified modeling language (UML) models for behavioral measures; (2) create common data elements (CDE) for UML components; (3) bind CDE with concepts from the NCI thesaurus; and (4) register CDE in the caDSR.

RESULTS

UML models have been developed for four GEM measures, which have been registered in the caDSR as CDE. New behavioral concepts related to these measures have been created and incorporated into the NCI thesaurus. Best practices for representing measures using UML models have been utilized in the practice (eg, caDSR). One dataset based on a GEM-curated measure is available for use by other systems and users connected to the grid.

CONCLUSIONS

Behavioral and population science data can be standardized by using and extending current standards. A new branch of CDE for behavioral science was developed for the caDSR. It expands the caDSR domain coverage beyond the clinical and biological areas. In addition, missing terms and concepts specific to the behavioral measures addressed in this paper were added to the NCI thesaurus. A methodology was developed and refined for curation of behavioral and population science data.

Collaborative biomedicine in the age of big data: the case of cancer

Biomedicine is undergoing a revolution driven by high throughput and connective computing that is transforming medical research and practice. Using oncology as an example, the speed and capacity of genomic sequencing technologies is advancing the utility of individual genetic profiles for anticipating risk and targeting therapeutics. The goal is to enable an era of “P4” medicine that will become increasingly more predictive, personalized, preemptive, and participative over time. This vision hinges on leveraging potentially innovative and disruptive technologies in medicine to accelerate discovery and to reorient clinical practice for patient-centered care. Based on a panel discussion at the Medicine 2.0 conference in Boston with representatives from the National Cancer Institute, Moffitt Cancer Center, and Stanford University School of Medicine, this paper explores how emerging sociotechnical frameworks, informatics platforms, and health-related policy can be used to encourage data liquidity and innovation. This builds on the Institute of Medicine’s vision for a “rapid learning health care system” to enable an open source, population-based approach to cancer prevention and control.

Direct and mediated effects of two theoretically based interventions to increase consumption of fruits and vegetables in the Healthy Body Healthy Spirit trial

This study tested the effects of two theory-based interventions to increase fruit and vegetable intake. Hypothesized intervention mediators included self-efficacy (SE), social support (SS), autonomous motivation (AM), and controlled motivation (CM). At baseline, 1,021 African American adults were recruited from 16 churches randomized to one comparison and two intervention groups: Group 1 (standard educational materials), Group 2 (culturally targeted materials), and Group 3 (culturally targeted materials and telephone-based motivational interviewing). A well-fitted model based on structural equation modeling-χ(2)(df = 541, N = 353, 325) = 864.28, p < .001, normed fit index = .96, nonnormed fit index = .98, comparative fit index = .98, root mean square error of approximation = .042-demonstrated that AM was both a significant mediator and moderator. In the subgroup with low baseline AM, AM mediated 17% of the effect of the Group 3 intervention on fruit and vegetable intake. Conversely, SS, SE, and CM were not significant mediators. Implications related to theory and intervention development are discussed.

Health cyberinfrastructure for collaborative use-inspired research and practice

Rapid advances in information and networking technologies have greatly expanded the modes for conducting business and science. For the past two decades, the National Science Foundation (NSF) has been supporting efforts to develop a comprehensive cyberinfrastructure with the goal of transforming the nature of scientific investigations. More recently, the NIH began supporting efforts to develop a cyberinfrastructure of healthcare research and practice. However, the best structure and applications of cyberinfrastructure in health care have yet to be defined. To address these issues, the NIH and the Kay Center for E-Health Research at Claremont Graduate University sponsored a symposium on "Cyberinfrastructure for Public Health and Health Services: Research and Funding Directions." The symposium convened researchers, practitioners, and federal funders to discuss how to further cyberinfrastructure systems and research in the public health and health services sectors. This paper synthesizes findings of the symposium, the goals of which were to determine the dynamics necessary for executing and utilizing cyberinfrastructure in public health and health services; examine the requirements of transdisciplinary collaboration; and identify future research directions. A multi-faceted conception of use-inspired research for cyberinfrastructure is developed. Use-inspired research aims to further basic theory but is grounded, inspired, and informed by practical problems. A cyberinfrastructure framework is presented that incorporates three intersecting dimensions: research-practice, health services-public health, and social-technical dimensions. Within this framework, this paper discusses the ways in which cyberinfrastructure provides opportunities to integrate across these dimensions to develop research and actions that can improve both clinical outcomes and public health.

Grid-enabled measures: using Science 2.0 to standardize measures and share data

Scientists are taking advantage of the Internet and collaborative web technology to accelerate discovery in a massively connected, participative environment--a phenomenon referred to by some as Science 2.0. As a new way of doing science, this phenomenon has the potential to push science forward in a more efficient manner than was previously possible. The Grid-Enabled Measures (GEM) database has been conceptualized as an instantiation of Science 2.0 principles by the National Cancer Institute (NCI) with two overarching goals: (1) promote the use of standardized measures, which are tied to theoretically based constructs; and (2) facilitate the ability to share harmonized data resulting from the use of standardized measures. The first is accomplished by creating an online venue where a virtual community of researchers can collaborate together and come to consensus on measures by rating, commenting on, and viewing meta-data about the measures and associated constructs. The second is accomplished by connecting the constructs and measures to an ontological framework with data standards and common data elements such as the NCI Enterprise Vocabulary System (EVS) and the cancer Data Standards Repository (caDSR). This paper will describe the web 2.0 principles on which the GEM database is based, describe its functionality, and discuss some of the important issues involved with creating the GEM database such as the role of mutually agreed-on ontologies (i.e., knowledge categories and the relationships among these categories--for data sharing).

Adapting research-tested computerized tailored interventions for broader dissemination and implementation

This paper focuses on the process for adapting existing legacy computerized tailored intervention (CTI) programs and implications for future development of CTI to ensure that interventions can be disseminated and implemented in different settings. A significant amount of work is required to adapt existing CTI for new research applications and public health interventions. Most new CTI are still developed from scratch, with minimal re-use of software or message content, even when there are considerable overlaps in functionality. This is largely a function of the substantial technical, organizational, and content-based barriers to adapting and disseminating CTI. CTI developers should thus consider dissemination and re-use early in the design phase of their systems. This is not intended to be a step-by-step guide on how to adopt or disseminate research-tested CTI, but rather a discussion that highlights issues to be considered for adapting and disseminating evidence-based CTI.

Realizing the promise of Web 2.0: engaging community intelligence

Discussions of Health 2.0, a term first coined in 2005, were guided by three main tenets: (a) health was to involve more participation, because an evolution in the web encouraged more direct consumer engagement in their own health care; (b) data was to become the new "Intel Inside" for systems supporting the vital decisions in health; and (c) a sense of collective intelligence from the network would supplement traditional sources of knowledge in health decision making. Interests in understanding the implications of a new paradigm for patient engagement in health and health care were kindled by findings from surveys such as the National Cancer Institute's Health Information National Trends Survey, showing that patients were quick to look online for information to help them cope with disease. This article considers how these 3 facets of Health 2.0--participation, data, and collective intelligence--can be harnessed to improve the health of the nation according to Healthy People 2020 goals. The authors begin with an examination of evidence from behavioral science to understand how Web 2.0 participative technologies may influence patient processes and outcomes, for better or worse, in an era of changing communication technologies. The article then focuses specifically on the clinical implications of Health 2.0 and offers recommendations to ensure that changes in the communication environment do not detract from national (e.g., Healthy People 2020) health goals. Changes in the clinical environment, as catalyzed by the Health Information Technology for Economic and Clinical Health Act to take advantage of Health 2.0 principles in evidence-based ways, are also considered.

Primary closure versus T-tube drainage after open choledochotomy

BACKGROUND

Choledochotomy followed by T-tube has long been a standard surgical treatment for choledocholithiasis. It is still a preferred choice in many hospitals where minimal invasive procedures are not feasible. The use of T-tube is not without complications. To avoid the complications associated with T-tube, we have performed primary closure of the common bile duct (CBD) after exploration. This pilot study assesses the safety of primary closure of CBD, which would help form a basis for implementation on a wider scale.

OBJECTIVE

To compare the clinical results of primary closure with T-tube drainage after open choledochotomy and assess the safety of primary closure for future application on a greater mass.

PATIENTS AND METHODS

This comparative study was conducted at surgical unit IV Liaquat University of Medical and Health Sciences, Jamshoro, from January 2007 to December 2007. Thirty-five patients were included in the study of which 16 patients underwent primary closure.

RESULTS

Thirty-five patients were included in the study. The mean age of patients who had primary closure done (n = 16) was 46.0 +/-16.8 and there were two (12.5%) males and 14 (87.5%) females. After primary closure of the CBD, bile leakage was noted in one patient (6.3%), which subsided without any biliary peritonitis as compared to the T-tube group in which two patients (10.5%) had bile leakage. Postoperative jaundice was seen in one patient (5.3%) who had a T-tube because of a blockage of CBD. Not a single patient had a retained stone in both groups as well as no recurrence of CBD stones. The postoperative hospital stay after primary closure was 5.56 +/-1.1 days as compared to after T-tube drainage which was 13.6 +/-2.3 days. The total cost of treatment in patients who underwent primary closure was USD194.5 +/-41.5 but after T-tube drainage it was USD548.6 +/-88.5. The median follow up duration for both groups was 6 months.

CONCLUSION

Primary CBD closure is a safe and cost effective alternative to routine T-tube drainage after open choledochotomy.

Psychosocial predictors of fruit and vegetable consumption in adults a review of the literature

BACKGROUND

Adequate fruit and vegetable intake has been found to promote health and reduce the risk of several cancers and chronic diseases. Understanding the psychological determinants of fruit and vegetable intake is needed to design effective intervention programs.

METHODS

Papers published in English from 1994 to 2006 that described the relationship between psychosocial predictors and fruit and vegetable intake in adults were reviewed. Studies and their constructs were independently rated based on the direction of significant effects, quality of execution, design suitability, and frequency. Methodology from the Guide to Community Preventive Services was used to systematically review and synthesize findings.

RESULTS

Twenty-five psychosocial constructs spanning 35 studies were reviewed (14 prospective and 21 cross-sectional/descriptive studies). Strong evidence was found for self-efficacy, social support, and knowledge as predictors of adult fruit and vegetable intake. Weaker evidence was found for variables including barriers, intentions, attitudes/beliefs, stages of change, and autonomous motivation.

CONCLUSIONS

The findings underscore the need to design future behavioral interventions that use strong experimental designs with efficacious constructs and to conduct formal mediation analyses to determine the strength of these potential predictors of fruit and vegetable intake.

Accuracy and precision of two short screeners to assess change in fruit and vegetable consumption among diverse populations participating in health promotion intervention trials

Two short frequency questionnaires, the NCI 19-item Fruit and Vegetable Screener (FVS) and a single question on overall fruit and vegetable consumption (1-item), were evaluated for their ability to assess change in fruit and vegetable (FV) consumption over time and in response to intervention among participants in 5 health promotion trials in the Behavior Change Consortium. Cross-sectional differences and correlations of FV estimates at baseline and at follow-up were compared for the FVS (n = 315) and the 1-item (n = 227), relative to multiple 24-h recall interviews (24HR). The FVS significantly overestimated daily intake by 1.27 servings at baseline among men and by 1.42 and 1.59 servings at baseline and follow-up, respectively, in women, whereas the 1-item measure significantly underestimated intake at both time points in men (0.98 serving at baseline, 0.75 serving at follow-up) and women (0.61 and 0.41 serving). Cross-sectional deattenuated correlations with 24HR at follow-up were 0.48 (FVS) and 0.50 (1-item). To evaluate the capacity of the 2 screeners to assess FV change, we compared mean posttest effects with 24HR by treatment group overall and by gender. Treatment group differences were not significant for either 24HR or 1-item. Among 315 subjects, the FVS treatment group differences were significant both overall and within gender but not when repeated in the sample of 227. Findings suggest multiple 24HR at multiple time points in adequate sample sizes remain the gold standard for FV reports. Biases in FVS estimates may reflect participants' lifestyles and sociodemographic characteristics and require further examination in longitudinal samples representative of diverse populations.