Linking Digital Health Maturity to Measurable Management Outcomes in Primary Care: A Systematic Review and Quantitative Evidence Synthesis

This dataset supports the article “Linking Digital Health Maturity to Measurable Management Outcomes in Primary Care: A Systematic Review and Quantitative Evidence Synthesis,” submitted to PLOS Digital Health. It contains the entire corpus of studies analyzed, along with Python scripts used for automated screening (TF–IDF + SVM), risk-of-bias estimation, and indicator–technology mapping, as well as bibliographic metadata in RIS format. The files include:– export.ris: consolidated bibliographic dataset.– figuras_caracterizacion.py, screening.py, Matriz Indicador × Tecnología.py, etc.: analytical scripts for thematic clustering and visualization.– README.md (included): explanation of data structure and replication instructions. All materials are released under a Creative Commons Attribution 4.0 International (CC BY 4.0) license to ensure transparency, reproducibility, and open access.