Nurse Pain Management Practices Survey in Thailand, 174 Participants

A secondary cross-sectional analysis of data collected from 174 full-time registered nurses in Thailand between 1 September and 27 October 2023. The dataset, created by Phichpraorn Youngcharoen, contains survey responses on pain management practices, self-efficacy, and collaboration, analyzed using structural equation modeling. The model explained 37% of the variance in nurses' pain management practices.

Use Cases

• Modeling the relationship between self-efficacy and clinical practices based on survey constructs.
• Analyzing the direct and indirect effects of nurse-physician collaboration on patient care outcomes.
• Studying demographic and attitudinal factors associated with pain management in a specific nursing cohort.

Strengths

• Dataset is based on responses from 174 full-time registered nurses, providing a defined sample size.
• Includes specific statistical results, such as a model explaining 37% of variance and beta coefficients for key factors.
• Clear temporal bounds for original data collection (September-October 2023) and IRB approval date (February 2024).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample consists entirely of female nurses from one context, which may limit generalizability.

Provenance

Source

Phichpraorn Youngcharoen via figshare.

Collection Method

Secondary analysis of self-administered paper questionnaires completed by nurses.

Time Range

Primary data collected from 1 September 2023 to 27 October 2023.

Freshness

Last updated 2026-06-01 17:44:58; freshness should be verified.

Geography

Thailand (implied by study context).