Sample Characteristics: 2025 National Social Prescribing Link Worker Survey

57.5% of Social Prescribing Link Workers in England reported recording patient-level outcomes 'often' or 'very often'. This dataset contains survey responses from 409 SPLWs in England, focusing on impact monitoring practices and predictors. It was authored by Daisy Fancourt and last updated in April 2026.

Use Cases

• Analyze predictors of outcome monitoring behavior based on awareness of the SP Information Standard and data sharing practices.
• Model the relationship between access to patient records and the use of outcome measures based on reported odds ratios.
• Benchmark the adoption rates of specific quantitative outcome measures like ONS4, MyCaW, PAM, and Wellbeing Star across services.
• Investigate the frequency and timing of data collection (e.g., at every session vs. beginning/end) for patient interactions.

Strengths

• Includes responses from 409 Social Prescribing Link Workers based in England.
• Provides specific statistics on outcome monitoring, such as 57.5% for patient-level and 45.5% for service-level outcomes.
• Contains detailed regression analysis results, including odds ratios and confidence intervals for key predictors.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

2025 National Social Prescribing Link Worker Survey.

Collection Method

Survey responses from Social Prescribing Link Workers who hold a caseload.

Time Range

Survey conducted in 2025.

Freshness

Last updated 2026-04-29 17:31:55; freshness should be verified.

Geography

England