Quality of Nursing Care and Adaptation to Artificial Intelligence in Low and Middle Income Countries: A Systematic Review of Empirical Studies

Published: 27 January 2026| Version 1 | DOI: 10.17632/f4hghgck64.1
Contributors:
Fernan Torreno, FRINCESS FLORES

Description

This dataset supports a systematic review on quality of nursing care and nurses’ adaptation to artificial intelligence (AI) in low‑ and middle‑income countries (LMICs). It compiles structured study‑level data from ten empirical and review studies (2022–2025), covering missed nursing care, nurse staffing, work environment, nursesensitive outcomes, and AI‑related attitudes, literacy, and intention to use. Variables include bibliographic, contextual, design, and outcome information, organized into two domains: nursing care quality and AI adaptation. Risk‑of‑bias assessments (AMSTAR 2, JBI) are summarized, and data are provided in machine‑readable formats with consistent identifiers for linkage.

Files

Categories

Nursing, Artificial Intelligence, Hospital Care, Third World, Clinical Nursing

Licence