25 children ranging in age from 6 to 10 years participated in this bilateral split-mouth study evaluating two dental sealants for retention and secondary caries development. Data were collected comparing resin based and glass ionomer based sealants with and without tooth preparation at 6-month intervals over a 2 year period. Dataset includes demographic and clinical measures and sealant performance evaluation and comparison at 6, 12, 18 and 24 months.

The Amish Research Group of the University of Maryland School of Medicine has been studying the Old Order Amish population in Lancaster County, PA, since 1993. This database currently consists of health-related data on over 7,000 adults resulting from studies ranging from population and basic science to clinical and translational research. Areas of investigation include: Cardiovascular Risk, Diabetes, Bone Health, Blood Pressure, Vascular Imaging, Aging, Breast Tissue Density, Platelet Aggregation, Microbiome, Wellness, and Brain Imaging. Extensive genetic data (genotyping and sequencing) is also available.

Data from Medicaid fee-for-service and managed care claims from one Mid-Atlantic state were analyzed for this cross-sectional study. The dataset consists of a total of 16,969 youths under the age of 20 with a mental health diagnosis and a pharmacy claim for antipsychotic medication in 2003. Data for each individual includes demographic, Medicaid program category (ie, foster care, disabled), psychiatric diagnostic codes, and psychotropic medications by major therapeutic class.

This dataset consists of survey responses from 57 African American parents/caregivers whose child was receiving care for ADHD in a university-affiliated pediatric primary care unit. The 47 item questionnaire entitled Attitudes, Satisfaction, Knowledge, and Medication Experiences (ASK-ME) was developed by the primary author to assess views of stimulant medication for ADHD. In addition to demographic information, the dataset includes treatment characteristics, whether or not the child received counseling, and responses to 7 items specifically related to attitude toward medication. A copy of the survey is available from Dr. Susan dosReis upon request.

This study investigated a systematic process for using qualitative data to identify attributes and levels most important to caregivers in making health care treatment decisions. Grounded theory methodology was selected for its suitability in assessing an individual’s response to a specific experience. Stakeholder advisors worked with academic researchers in all phases of the project. A total of 48 caregivers were recruited from community support groups from across Maryland. Criteria for selection were a) responsibility for a child 26 years or younger, b) who had an intellectual, emotional, or social developmental disability and, c) with a concomitant mental health condition. 6 caregivers participated in in–depth interviews while the remaining 42 were distributed among 6 focus groups. This dataset includes family demographics, child characteristics (e.g. school grade level, diagnoses, treatment, behavioral problems, etc.), interview transcripts, focus group data, and attribute descriptions and levels.

This pilot study tested the use of a best-worst scaling (BWS) instrument to aid caregivers of a child with mental health comorbidities in clarifying preferences for treatment outcomes. BWS methodology closely approximates real-life decision-making by requiring the selection of one “most important” and one “least important” among a group of competing attributes. 38 caregivers were recruited from support groups in Maryland from March through July of 2015. Criteria for participation were a) their child was 21 years or younger, b) was diagnosed with a developmental delay related to cognitive or emotional disability and, c) with a comorbid mental illness (i.e. ADHD, depression, anxiety, etc.). Subsequent to survey completion, the caregivers took part in one of 6 debriefing sessions to determine the ease of comprehension, relevance of the concepts, distinctiveness of the statements, and clarity of language. The dataset includes family demographics, child characteristics (diagnoses, type of treatment, etc.), session transcripts, and statistics associated with the caregiver responses to the attributes included in the BWS instrument.

This dataset is the result of an investigation of caregivers’ management and treatment preferences for their ADHD child. From January 2013 through March 2015 a total of 184 caregivers of children 4 to 14 years of age were recruited from primary care, pediatric outpatient clinics, and support organizations in Maryland. The study explored caregiver variability and priorities when considering medication, change in management options over time, and preference for different treatment attributes. Data were collected using Best-Worst scaling and the Vanderbilt ADHD Diagnostic Parent Rating Scale (VADPRS). This dataset consists of caregiver and child demographic information, child diagnoses and treatment characteristics data, and caregiver preferences with regard to medication and observed and desired improvements in their child’s ADHD.

Dataset consists of 107 full clinical study reports (CSRs) of published and unpublished randomized, placebo-controlled clinical trials of two neuraminidase inhibitors. A systematic review of the CSRs and other regulatory documents was conducted to determine the potential benefits and harms of oseltamivir (Tamiflu) and zanamivir (Relenza). Outcome measures included time to first alleviation of symptoms, influenza outcomes, complications, admissions to hospital, and adverse events in the intention to treat population. Completeness of relevant parts of the CSRs was determined via an extraction form based on the CONSORT statement checklist. Authors have provided the full set of clinical study reports for both medications provided to the Cochrane collaboration by Roche, GlaxoSmithKline, and the European Medicines Agency (EMA) for use in the systematic review of these neuraminidase inhibitors for treating/preventing influenza in healthy adults and children. A guest post on the "Dryad News and Views" site regarding the dataset of clinical study reports and the resulting Cochrane systematic review is available at: https://blog.datadryad.org/2014/04/17/tamiflu-data/

The primary goal of this project was to compare in vivo gene expression levels of the cytokine, IL-4, and its natural splice variant, IL-4δ2, in the lungs of mice. Intratracheal replication-deficient adenovirus-mediated gene delivery of mouse IL-4 or IL-4δ2 was utilized to create three mice overexpressing IL-4 and three overexpressing IL-4δ2 in their lungs. An additional three mice were similarly infected with control AdV-NULL virus not encoding a cytokine. 14 days postinfection, lung tissue was homogenized, total RNA extracted, and results analyzed. The data demonstrate that IL-4 and its splice variant differentially affect global gene expression which has implications for the use of targeted therapy for various diseases. The dataset consists of 9 microarray data tables corresponding to each of the samples. Additionally, a supplementary TAR file of the raw data is also available to download.

This dataset consists of comparisons of mortality and hospital discharge rates/diagnoses between Old Order Amish (OOA) living in Lancaster County, Pennsylvania, and non-Amish Caucasians. The Anabaptist Genealogy Database Version 5 (AGDB5) and the Framingham Heart Study (FHS) were utilized for the mortality statistics for each cohort, respectively. Additionally, OOA health-related data were collected from hospital discharge records from 4 Lancaster County hospitals while the National Hospital Discharge Survey (NHDS) was used for non-Amish Caucasians. For each discharge the principal diagnosis and up to 6 additional diagnoses were recorded using ICD-9-CM codes. The dataset consists of demographics, mortality statistics, hospital discharge and diagnoses data, as well as longevity and health-related comparison analyses between the two groups.