ArticleAnnals of family medicine
The Impact of Community Health Information Exchange Usage on Time to Reutilization of Hospital Services.
Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Health Information Exchange: Contributions from 2023.Yearbook of medical informatics · 2024Pooled it
- Impact of Provider Health Information Exchange Services on Patient Utilization of Emergency Room and Inpatient Practices in Colorado.Journal of clinical medicine · 2025Article
- Influence of Previous Emergency Department Visit Information on Care of Current Patients.The western journal of emergency medicine · 2025Article
- Electronic health record and primary care physician self-reported quality of care: a multilevel study in China.Global health action · 2024Article
- The Impact of Delivery Reform on Health Information Exchange with Behavioral Health Providers: Results from a National Representative Survey of Ambulatory Physicians.Administration and policy in mental health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeFew studies have determined whether clinician usage of a community health information exchange (HIE) directly improves patient care transitions. We hypothesized that lookup in the HIE by primary care physicians of patients recently released from the hospital would increase the time until hospital reuse.
methodsWe identified a retrospective cohort of 8,216 hospital inpatients aged over 18 years that were discharged from January 1, 2021 through November 30, 2021 using the Paso del Norte Health Information Exchange, in El Paso County, Texas. All patients had a primary care physician visit within 30 days after hospital discharge, and we identified patients that were looked up in the HIE close to that visit. Of the cohort, 2,627 were rehospitalized and 3,809 visited an emergency department (ED) during the follow-up window. The remaining 1,780 patients were controls. We conducted survival analysis, censoring at the second ED or inpatient visit or end of the study window (January 31, 2022). The model was adjusted by ethnicity, gender, insurance, and age.
resultsLookup in the HIE was significantly associated with reducing the likelihood of visiting the ED by 53% and being rehospitalized by 61%. Lookup in the HIE was associated with an increased median time to use of the ED after inpatient discharge from 99 to 238 patient days. Ethnicity, insurance, gender, and age were also significant predictors of hospital reuse.
conclusionsIncreased utilization of community HIEs by primary care physicians on behalf of their recently discharged patients may dramatically increase the time until inpatient or ED reuse.
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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 OpenQuestion graph.