Social Prescribing Link Worker Survey on Outcome Monitoring, England 2025

The 2025 National Social Prescribing Link Worker Survey collected responses from 409 Social Prescribing Link Workers (SPLWs) in England. The dataset, authored by Daisy Fancourt, focuses on patterns of patient and service-level impact monitoring, predictors of reporting behavior, and potential solutions to enhance data collection. It was last updated on April 29, 2026.

Use Cases

• Analyze predictors of outcome reporting behavior based on awareness of the SP Information Standard and data sharing practices.
• Model the relationship between access to patient records and the likelihood of using outcome measures based on reported odds ratios.
• Benchmark the frequency of quantitative versus qualitative data capture among social prescribing services.
• Investigate temporal patterns of data collection, such as recording at the beginning/end of interactions versus every session.

Strengths

• Includes responses from 409 Social Prescribing Link Workers, providing a substantial sample size for analysis.
• Reports specific statistical findings, such as a 57.5% rate of frequent patient-level outcome monitoring and odds ratios for key predictors.
• Details the use of specific outcome measures like ONS4 (61% of users), MyCaW, PAM, and Wellbeing Star.

Limitations

• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope and likely summary-level data.

Provenance

Source

2025 National Social Prescribing Link Worker Survey.

Collection Method

Survey responses from SPLWs who hold a caseload and are based in England.

Time Range

2025

Freshness

Last updated 2026-04-29 17:31:57; freshness should be verified.

Geography

England