Psychiatrist Survey on Involuntary Hospitalization Decision-Making in the U.S.
by Karin R. Lavie·Updated 2mo ago
9.5 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
A cross-sectional survey of 246 psychiatrists and psychiatry trainees from eight academic departments across major U.S. regions. The dataset, created by Karin R. Lavie and last updated in April 2026, measures psychiatrists' likelihood to admit patients involuntarily and their confidence in decision-making using a validated vignette-based instrument. It includes responses on physician demographics, clinical experience, attitudes, beliefs, and paternalism.
Use Cases
Analyze regional differences in involuntary hospitalization likelihood based on the Northeast and Southeast findings.
Model the relationship between physician paternalism and admission decisions based on the described correlation.
Investigate how clinical experience (e.g., inpatient vs. emergency psychiatry) influences decision confidence.
Examine differences in decision-making factors between attending physicians and trainees based on the study's results.
Strengths
Includes 246 survey responses from psychiatrists and trainees.
Uses a previously validated, vignette-based instrument (PIHD) for measurement.
Covers participants from eight academic psychiatry departments across major U.S. regions.
Released under a permissive CC-BY-4.0 license for reuse.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Data may reflect geographic and institutional bias inherent to the selected academic departments.
Provenance
Source
figshare
Collection Method
Online survey using the Psychiatric Involuntary Hospitalization Decision-making (PIHD) instrument.
Time Range
null
Freshness
Last updated 2026-04-20 17:43:35; freshness should be verified.
Geography
United States, with participants from eight academic departments across major regions (Northeast, Southeast, Southwest).
File format is XLS (Excel), requiring compatible software to open.