ArticleJournal of public health research2025
The realities of data derived from electronic health records to evaluate health outcomes, utilization, and cost of produce prescription programs: A multiple case study evaluation.
Article in Journal of public health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Produce prescription projects (PPRs) allow healthcare professionals to "prescribe" fruits and vegetables for patients experiencing food insecurity and a diet-related chronic disease. Evaluation of healthcare outcomes, utilization, and costs data is prudent to understand the impact of PPRs. However, substantial challenges exist. The objective of this study is to understand facilitators, barriers, lessons learned, and emergent best practices for data derived from electronic health records (EHR) among PPRs. Design and methods: A multiple methods case study including four PPRs funded through a pilot grant to use EHR-derived data to measure healthcare outcomes, utilization, and costs of health care. Data sources included grant applications ( Results: The four cases shared varied healthcare outcomes and utilization measures and submitted less data than was outlined in their respective DUA. Three salient themes emerged: PPR projects need: (1) sufficient time and resources to develop procedures to collect and share healthcare data; (2) tailored healthcare outcome measures to PPR design, outcomes of interest, and EHR capabilities; (3) technical support related to technology, data security and sharing. Conclusions: EHR data can provide insight on the impact of PPRs and related healthcare interventions on health outcomes and cost-effectiveness. Evaluation efforts must consider project capacity and ensure adequate resources to collect and securely share healthcare data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.