Daniel Blalock

About

Daniel Blalock is an Associate Professor in the Department of Psychiatry and Behavioral Sciences at Duke University. He is a member of the Duke Cancer Institute and is involved in the Behavioral Medicine & Neurosciences Division. His professional role encompasses research, clinical leadership, and academic responsibilities within the department. Further details about his specific research focus, background, or key contributions are not provided on the page.

Research topics

• Computer Science
• Medicine
• Nursing
• Family medicine
• Physical therapy
• Internal medicine

Selected publications

• An Adaptable Framework for Factors Contributing to Medication Adherence: Results from a Systematic Review of 102 Conceptual Frameworks

  Journal of General Internal Medicine · 2021 · 132 citations

  OBJECTIVE: To summarize the available conceptual models for factors contributing to medication adherence based on the World Health Organization (WHO)'s five dimensions of medication adherence via a systematic review, identify the patient groups described in available conceptual models, and present an adaptable conceptual model that describes the factors contributing to medication adherence in the identified patient groups. METHODS: We searched PubMed®, Embase®, CINAHL®, and PsycINFO® for English…

  DOI

• Measurement Properties of Existing Patient-Reported Outcome Measures on Medication Adherence: Systematic Review

  Journal of Medical Internet Research · 2020 · 115 citations

  BACKGROUND: Medication adherence is essential for improving the health outcomes of patients. Various patient-reported outcome measures (PROMs) have been developed to measure medication adherence in patients. However, no study has summarized the psychometric properties of these PROMs to guide selection for use in clinical practice or research. OBJECTIVE: This study aims to evaluate the quality of the PROMs used to measure medication adherence. METHODS: This study was guided by the PRISMA (Preferr…

  DOI

• Virtual Versus In-Person Intensive Outpatient Treatment for Eating Disorders During the COVID-19 Pandemic in United States–Based Treatment Facilities: Naturalistic Study

  Journal of Medical Internet Research · 2025-01-30 · 6 citations

  articleOpen access1st authorCorresponding

  Background While virtual therapy has proven effective in treating eating disorders (EDs), little work has examined virtual therapy at higher levels of care, which are treatment options providing more support than weekly outpatient therapy including intensive outpatient (IOP) treatment. Objective This study aimed to add to the limited research on in-person versus virtual treatment at a higher level of care by comparing treatment outcomes between an in-person IOP and a virtual IOP (VIOP) for patie…

  PublisherDOI

• The Reliability and Construct Validity of a Single‐Item Assessment of Suicidal Ideation Among Patients With Mood and Anxiety Disorders

  Journal of Clinical Psychology · 2025-01-09 · 6 citations

  articleOpen accessSenior author

  OBJECTIVE: Single-item questionnaire assessments may be summarily dismissed by some, but it is unclear if this is warranted. We suggest here that the answer to that question depends on their reliability and construct validity. Reliability of a single-item index cannot be assessed via indices like coefficient alpha, but it can be addressed otherwise; construct validity can be assessed as it would be with any other quantitative index. METHODS: In 489 patients with mood and anxiety disorders, we ex…

  PublisherOA PDFDOI

• Heterogeneous Presentations at Admission But Similar Treatment Response Across Latent Profiles of ARFID Prototypes in Children and Adolescents

  European Eating Disorders Review · 2025-08-13 · 5 citations

  article

  BACKGROUND: Avoidant/restrictive food intake disorder (ARFID) is defined by any combination of three prototypic motivations for dietary restriction (sensory-based avoidance, lack of interest, fear of aversive consequences), resulting in heterogeneous presentations. Some work suggests overlap of prototypes, but little is known about how prototypes cluster together. Further, little research exists on how prototype influences outcome. METHODS: We applied latent profile analysis (LPA) to 159 treatme…

  PublisherDOI

Frequent coauthors

• Philip S. Mehler

  The Recovery Center

  210 shared

• Renee D. Rienecke

  Center for Anxiety and Depression

  125 shared

• Daniel Le Grange

  University of California, San Francisco

  88 shared

• Alan Duffy

  Center for Anxiety and Depression

  83 shared

• Jamie Manwaring

  Denver Health Medical Center

  73 shared

• Hayden B. Bosworth

  72 shared

• Susan McClanahan

  Pathlight

  55 shared

• Leah L. Zullig

  52 shared

Similar researchers at Duke University

• Jean Crowell Beckhamh-104
• Melanie Jean Bonnerh-57