Elissa R. Weitzman

Poor Mental Health, Depression, and Associations With Alcohol Consumption, Harm, and Abuse in a National Sample of Young Adults in College.

The purpose of this article was to describe patterns of poor mental health/depression (PMHD) in a national sample of college students and the relationships among PMHD, alcohol consumption, harm, and abuse. Responses to mailed questionnaires completed by a random sample of 27,409 students at 119 colleges were analyzed using logistic regression. Nationally, 4.8% of students reported PMHD. The average college prevalence was 5.01% (range, 0.68% to 13.23%). Students with PMHD were more likely than their peers to be female, nonwhite, and from low socioeconomic status families; less likely to report never drinking; as likely to report frequent, heavy, and heavy episodic drinking; and more likely to report drinking to get drunk. Students with PMHD—especially females—were more likely to report drinking-related harms and alcohol abuse. College is a critical context for studying youth mental health. The interrelationship of mental health problems and their clustering by group and college are important considerations for prevention and treatment.

The relationship of alcohol outlet density to heavy and frequent drinking and drinking-related problems among college students at eight universities.

To determine whether alcohol outlet density was correlated with heavy and frequent drinking and drinking-related problems, we compared ecological measures of outlet density with survey measures of drinking using a geographic information system and the Harvard School of Public Health College Alcohol Study (n=3,421, site n=8). We identified 966 outlets within 8 2-mile study areas. Densities/site ranged from 32 to 185. Density was correlated with heavy drinking (r=0.82, p=0.01), frequent drinking (r=0.73, p=0.04) and drinking-related problems (r=0.79, p=0.02). Women, underage students and students who picked up binge drinking in college were affected. Implications for prevention and research are discussed.

Risk modifying effect of social capital on measures of heavy alcohol consumption, alcohol abuse, harms, and secondhand effects: national survey findings

Study objective: To examine associations between social capital and individual risk for alcohol abuse and harms and identify protective effect mechanisms. Design: Multilevel multivariate analysis with individual level data from a national panel survey of drinking and a contextual measure of social capital reflecting college mean aggregate reports of student volunteerism. Outcomes include heavy episodic (binge) drinking, frequent drinking, frequent drunkenness, diagnosable alcohol abuse, intentional drunkenness, acquisition of binge drinking, harms, secondhand effects from others’ drinking. Setting: United States, 119 four year colleges. Participants: Representative samples of youth ages 18–24 surveyed in 1997 and 1999 using an anonymous mailed questionnaire (total n = 27 687). Main results: Students from colleges with higher levels of social capital reported reduced risks for binge drinking (adjusted OR 0.38, 95% CI 0.20 to 0.69, p = 0.002), frequent drunkenness (adjusted OR 0.58, 95% CI 0.34 to 0.98, p = 0.04), acquisition of binge drinking in college (adjusted OR 0.48, 95% CI 0.24 to 0.95, p = 0.03), and alcohol abuse (adjusted OR 0.55, 95% CI 0.34 to 0.91, p = 0.02) in multilevel multivariate analyses that controlled for individual volunteering, the measure on which social capital was based. Higher levels of social capital protected against multiple drinking related harms (adjusted OR 0.51, 95% CI 0.29 to 0.90, p = 0.02) and secondhand drinking effects (adjusted OR, 0.30, 95% CI 0.16 to 0.58, p = 0.0003). Significant cross level interactions exist between fraternity/sorority membership and social capital for measures of risky drinking. Harm reduction primarily reflects consumption modification. Conclusions: Social capital exerts strong protective effects on alcohol abuse and harm in college including among high risk students.

Acceptability of a Personally Controlled Health Record in a Community-Based Setting: Implications for Policy and Design

Background Consumer-centered health information systems that address problems related to fragmented health records and disengaged and disempowered patients are needed, as are information systems that support public health monitoring and research. Personally controlled health records (PCHRs) represent one response to these needs. PCHRs are a special class of personal health records (PHRs) distinguished by the extent to which users control record access and contents. Recently launched PCHR platforms include Google Health, Microsoft’s HealthVault, and the Dossia platform, based on Indivo. Objective To understand the acceptability, early impacts, policy, and design requirements of PCHRs in a community-based setting. Methods Observational and narrative data relating to acceptability, adoption, and use of a personally controlled health record were collected and analyzed within a formative evaluation of a PCHR demonstration. Subjects were affiliates of a managed care organization run by an urban university in the northeastern United States. Data were collected using focus groups, semi-structured individual interviews, and content review of email communications. Subjects included: n = 20 administrators, clinicians, and institutional stakeholders who participated in pre-deployment group or individual interviews; n = 52 community members who participated in usability testing and/or pre-deployment piloting; and n = 250 subjects who participated in the full demonstration of which n = 81 initiated email communications to troubleshoot problems or provide feedback. All data were formatted as narrative text and coded thematically by two independent analysts using a shared rubric of a priori defined major codes. Sub-themes were identified by analysts using an iterative inductive process. Themes were reviewed within and across research activities (ie, focus group, usability testing, email content review) and triangulated to identify patterns. Results Low levels of familiarity with PCHRs were found as were high expectations for capabilities of nascent systems. Perceived value for PCHRs was highest around abilities to co-locate, view, update, and share health information with providers. Expectations were lowest for opportunities to participate in research. Early adopters perceived that PCHR benefits outweighed perceived risks, including those related to inadvertent or intentional information disclosure. Barriers and facilitators at institutional, interpersonal, and individual levels were identified. Endorsement of a dynamic platform model PCHR was evidenced by preferences for embedded searching, linking, and messaging capabilities in PCHRs; by high expectations for within-system tailored communications; and by expectation of linkages between self-report and clinical data. Conclusions Low levels of awareness/preparedness and high expectations for PCHRs exist as a potentially problematic pairing. Educational and technical assistance for lay users and providers are critical to meet challenges related to: access to PCHRs, especially among older cohorts; workflow demands and resistance to change among providers; inadequate health and technology literacy; clarification of boundaries and responsibility for ensuring accuracy and integrity of health information across distributed data systems; and understanding confidentiality and privacy risks. Continued demonstration and evaluation of PCHRs is essential to advancing their use.

College Student Binge Drinking and the “Prevention Paradox”: Implications for Prevention and Harm Reduction

Considerable attention has been paid to heavy episodic or “binge” drinking among college youth in the United States. Despite widespread use, the binge measure is perceived by some as a low intervention threshold. We use data from the Harvard School of Public Health College Alcohol Study (n = 49,163) to describe patterns of consumption and harms along a continuum including the binge measure to demonstrate the validity of the binge threshold and prevention paradox in college. While the heaviest drinkers are at greatest risk for harm, they are relatively few and generate proportionately small amounts of all drinking-harms. The risk of harms is not zero among lower level drinkers in college. Because they are numerous, they account for the majority of harms. This paradoxical pattern suggests we moderate consumption among the majority using environmental approaches, the efficacy of which are described using case study data from a national prevention demonstration. Implications for prevention policy, programming, and media advocacy are discussed.

Sharing Medical Data for Health Research: The Early Personal Health Record Experience

Background Engaging consumers in sharing information from personally controlled health records (PCHRs) for health research may promote goals of improving care and advancing public health consistent with the federal Health Information Technology for Economic and Clinical Health (HITECH) Act. Understanding consumer willingness to share data is critical to advancing this model. Objective The objective was to characterize consumer willingness to share PCHR data for health research and the conditions and contexts bearing on willingness to share. Methods A mixed method approach integrating survey and narrative data was used. Survey data were collected about attitudes toward sharing PCHR information for health research from early adopters (n = 151) of a live PCHR populated with medical records and self-reported behavioral and social data. Data were analyzed using descriptive statistics and logistic regression to characterize willingness, conditions for sharing, and variations by sociodemographic factors. Narrative data were collected through semistructured focus group and one-on-one interviews with a separate sample of community members (n = 30) following exposure to PCHR demonstrations. Two independent analysts coded narrative data for major and minor themes using a shared rubric of a priori defined codes and an iterative inductive process. Findings were triangulated with survey results to identify patterns. Results Of PHCR users, 138 out of 151 (91%) were willing to share medical information for health research with 89 (59%) favoring an opt-in sharing model. Willingness to share was conditioned by anonymity, research use, engagement with a trusted intermediary, transparency around PCHR access and use, and payment. Consumer-determined restrictions on content and timing of sharing may be prerequisites to sharing. Select differences in support for sharing under different conditions were observed across social groups. No gender differences were observed; however differences in age, role, and self-rated health were found. For example, students were more likely than nonstudents to favor an opt-out sharing default (unadjusted odds ratio [OR] = 2.89, 95% confidence interval [CI] 1.10 - 7.62, P = .03). Participants over age 50 were less likely than younger participants to report that payment would increase willingness to share (unadjusted OR = 0.94, 95% CI 0.91 - 0.96, P < .001). Students were more likely than nonstudents to report that payment would increase their willingness to share (unadjusted OR 9.62, 95% CI 3.44 - 26.87, P < .001). Experiencing a public health emergency may increase willingness to share especially among persons over 50 (unadjusted OR 1.03, 95% CI 1.01 - 1.05, P = .02); however, students were less likely than non-students to report this attitude (unadjusted OR 0.13, 95% CI 0.05 - 0.36, P < .001). Finally, subjects with fair or poor self-rated health were less likely than those with good to excellent self-rated health to report that willingness to share would increase during a public health emergency (unadjusted OR 0.61, 95% CI 0.38 - 0.97, P = .04). Conclusions Strong support for sharing of PCHR information for health research existed among early adopters and focus group participants, with support varying by social group under different conditions and contexts. Allowing users to select their preferred conditions for sharing may be vital to supporting sharing and fostering trust as may be development of safety monitoring mechanisms.

Sharing Data for Public Health Research by Members of an International Online Diabetes Social Network

Background Surveillance and response to diabetes may be accelerated through engaging online diabetes social networks (SNs) in consented research. We tested the willingness of an online diabetes community to share data for public health research by providing members with a privacy-preserving social networking software application for rapid temporal-geographic surveillance of glycemic control. Methods and Findings SN-mediated collection of cross-sectional, member-reported data from an international online diabetes SN entered into a software applicaction we made available in a “Facebook-like” environment to enable reporting, charting and optional sharing of recent hemoglobin A1c values through a geographic display. Self-enrollment by 17% (n = 1,136) of n = 6,500 active members representing 32 countries and 50 US states. Data were current with 83.1% of most recent A1c values reported obtained within the past 90 days. Sharing was high with 81.4% of users permitting data donation to the community display. 34.1% of users also displayed their A1cs on their SN profile page. Users selecting the most permissive sharing options had a lower average A1c (6.8%) than users not sharing with the community (7.1%, p = .038). 95% of users permitted re-contact. Unadjusted aggregate A1c reported by US users closely resembled aggregate 2007–2008 NHANES estimates (respectively, 6.9% and 6.9%, p = 0.85). Conclusions Success within an early adopter community demonstrates that online SNs may comprise efficient platforms for bidirectional communication with and data acquisition from disease populations. Advancing this model for cohort and translational science and for use as a complementary surveillance approach will require understanding of inherent selection and publication (sharing) biases in the data and a technology model that supports autonomy, anonymity and privacy.

Willingness to share personal health record data for care improvement and public health: a survey of experienced personal health record users

BackgroundData stored in personally controlled health records (PCHRs) may hold value for clinicians and public health entities, if patients and their families will share them. We sought to characterize consumer willingness and un willingness (reticence) to share PCHR data across health topics, and with different stakeholders, to advance understanding of this issue.MethodsCross-sectional 2009 Web survey of repeat PCHR users who were patients over 18 years old or parents of patients, to assess willingness to share their PCHR data with an-out-of-hospital provider to support care, and the state/local public health authority to support monitoring; the odds of reticence to share PCHR information about ten exemplary health topics were estimated using a repeated measures approach.ResultsOf 261 respondents (56% response rate), more reported they would share all information with the state/local public health authority (63.3%) than with an out-of-hospital provider (54.1%) (OR 1.5, 95% CI 1.1, 1.9; p = .005); few would not share any information with these parties (respectively, 7.9% and 5.2%). For public health sharing, reticence was higher for most topics compared to contagious illness (ORs 4.9 to 1.4, all p-values < .05), and reflected concern about anonymity (47.2%), government insensitivity (41.5%), discrimination (24%). For provider sharing, reticence was higher for all topics compared to contagious illness (ORs 6.3 to 1.5, all p-values < .05), and reflected concern for relevance (52%), disclosure to insurance (47.6%) and/or family (20.5%).ConclusionsPediatric patients and their families are often willing to share electronic health information to support health improvement, but remain cautious. Robust trust models for PCHR sharing are needed.

Advancing healthcare transitions in the medical home: tools for providers, families and adolescents with special healthcare needs.

Purpose of review The purpose of the present article is to review recent national guidelines regarding healthcare transition (HCT) planning for adolescents with special healthcare needs (SHCN) and to describe practical tools for use by the primary care pediatrician to implement these guidelines. Recent findings Approximately one in five adolescents in the United States has SHCN. Achieving successful transitions from child-oriented to adult-oriented healthcare for these patients can be difficult. Despite numerous barriers to HCT, innovations in healthcare delivery, including the patient-centered medical home and accountable care payment structures, may help overcome challenges. The American Academy of Pediatrics, American Academy of Family Physicians, and the American College of Physicians have provided explicit practice-level guidance for supporting HCT. The National Healthcare Transition Center developed the Six Core Elements of Healthcare Transition, recommending six detailed action steps for transitions from pediatric settings. Steps reflect guidelines and, along with novel patient-centered information technologies, may help support individuals and families navigating complex transitions. Summary It is time to integrate transition planning into the medical home. Further evidence is needed to identify transition strategies that improve outcomes. Although innovations in care delivery, payment structures, and information technologies may support HCT, pediatricians can and should implement already available and recommended transition steps.

Alcohol and Marijuana Use and Treatment Nonadherence Among Medically Vulnerable Youth

BACKGROUND AND OBJECTIVE: Adolescents face peak risks for onset and intensification of alcohol and marijuana use. However, we know little about these behaviors and their associations with knowledge or treatment adherence among chronically ill youth, a medically vulnerable group. METHODS: Cross-sectional assessment of consented youth ages 9 to 18 years receiving care for asthma/cystic fibrosis, type 1 diabetes, arthritis, or inflammatory bowel disease (IBD) by using a self-administered online tool. Prevalence and correlates of risk behaviors and associations with knowledge and treatment adherence were estimated using descriptive statistics and logistic regression, controlling for demographics, mental health, and the multiclinic sampling frame. RESULTS: Of 403 consented youth (75.8% response), 51.6% were girls, 75.1% were white, and average age was 15.6 years. Of high school youth, 36.5% and 12.7% reported past-year alcohol use and binge drinking, respectively; 20% reported past-year marijuana use. Among high school youth, 53.1% and 37.2% answered correctly that alcohol can interfere with their medications and laboratory tests; youth answering incorrectly were 8.53 and 4.46 times more likely to drink and binge drink, respectively (P values < .001). Thirty-two percent and 8.3% of high school youth reported regularly forgetting or skipping their medications in the past 30 days; compared with past-year nondrinking youth, drinkers were 1.79 and 1.61 times as likely to report regularly missing or skipping medications (P values < .05). CONCLUSIONS: Alcohol and marijuana use are common among youth with chronic medical conditions. Alcohol use is associated with treatment nonadherence. Education and preventive interventions are warranted to ameliorate risk.