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WebMD Psychiatric Medication Feedback
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides insights into patient and caregiver experiences with various psychiatric medications. It features unstructured text reviews alongside categorical ratings and demographic information. The primary aim is to capture real-world feedback on drug effectiveness, side effects, and overall satisfaction. The dataset currently includes over 61,000 reviews for hundreds of drugs used to treat conditions such as depression, anxiety, bipolar disorder, and schizophrenia. Future updates are planned to include more recent reviews.
Columns
drug_name: The name of the psychiatric medication.date: The date the review was submitted.age: The age range of the reviewer (e.g., "45-54", "35-44", "13-18").gender: The gender of the reviewer.time_on_drug: The duration the reviewer has been taking the medication (e.g., "1 to less than 2 years", "less than 1 month").reviewer_type: Indicates whether the reviewer is a "Patient" or a "Caregiver".condition: The medical condition for which the drug was prescribed (e.g., "Posttraumatic Stress Syndrome", "Depression", "Panic Disorder").rating_overall: The overall rating given by the reviewer, typically on a scale of 1 to 5.rating_effectiveness: The reviewer's rating of the drug's effectiveness.rating_ease_of_use: The reviewer's rating for how easy the drug was to use.rating_satisfaction: The reviewer's rating of their satisfaction with the drug.text: The detailed, unstructured text review provided by the patient or caregiver, describing their experiences.
Distribution
The dataset is typically provided as a data file, often in CSV format. It contains over 61,000 individual reviews. The exact number of rows or records for a specific sample may vary, but the overall dataset is substantial. Each record is structured with distinct columns as detailed above, allowing for both quantitative and qualitative analysis.
Usage
This dataset is ideal for a variety of applications focusing on real-world drug outcomes and patient sentiment. It can be used for:
- Natural Language Processing (NLP): Training models for sentiment analysis, topic modelling, and entity recognition on healthcare-related text.
- Social Science Research: Studying patient perceptions, drug adherence, and the psychosocial impact of psychiatric medications.
- Healthcare Analytics: Identifying trends in drug effectiveness and side effects across different demographics and conditions.
- Pharmaceutical Research: Understanding patient feedback to inform drug development and post-market surveillance.
- Machine Learning: Developing predictive models for drug response or side effect occurrence based on review data.
Coverage
The dataset's coverage is global, collecting reviews from diverse geographical regions. The time range for the reviews is ongoing, with updates expanding the dataset to include recent submissions to WebMD. Demographically, it includes feedback from patients and caregivers across various age groups and genders. The primary focus for conditions includes depression, anxiety (including anxiety with depression), bipolar disorder, and schizophrenia, with potential for expansion to other psychiatric disorders in future versions.
License
CC-BY-NC
Who Can Use It
This dataset is suitable for:
- Academic Researchers: For studies on pharmacovigilance, mental health, and patient-reported outcomes.
- Data Scientists and Analysts: To build and refine models for text analysis and predictive analytics in the healthcare domain.
- Healthcare Providers: To gain a broader understanding of patient experiences beyond clinical trials.
- AI and LLM Developers: For training and fine-tuning language models on domain-specific healthcare text.
- Pharmaceutical Companies: For market research, competitor analysis, and identifying unmet patient needs.
Dataset Name Suggestions
- Psychiatric Drug Patient Reviews
- WebMD Psychiatric Medication Feedback
- Mental Health Drug Experience Dataset
- Patient Reported Psychiatric Outcomes
- Sertraline Oral Patient Experiences
Attributes
Original Data Source: WebMD Reviews for Psychiatric Drugs
QUALITY