Most of the postdischarge contact interventions consisted of a single telephone contact, often within three days
MONDAY, Jan. 13, 2025 (HealthDay News) — Postdischarge contacts (PDCs) with patients after hospitalization are not associated with reductions in 30-day emergency department use or 30-day readmissions, according to a systematic review and meta-analysis published online Jan. 14 in the Annals of Internal Medicine.
Joel C. Boggan, M.D., M.P.H., from the Durham Veterans Affairs Health Care System in North Carolina, and colleagues examined the effects of PDCs within seven days on 30-day emergency department visits, 30-day hospital readmissions, and patient satisfaction in a review of 13 studies (11 randomized trials).
Twelve of the studies delivered PDCs via telephone. Of the 11 randomized trials, three and one were rated as having low and high risk for bias, respectively. The researchers found that of the PDC interventions, most (10 PDCs) consisted of single telephone contacts, often within three days. Eight of the studies focused on patients who were identified by the authors as being at higher risk. No differences were seen in 30-day emergency department use or 30-day readmissions with PDCs.
“Although our review did not find evidence of significant effects of brief PDC approaches, health care systems should consider the cost-effectiveness of these relatively light-touch approaches on such costly outcomes as hospital readmissions,” the authors write. “Such considerations of widespread universal brief PDCs should be balanced with the potential to target investments in more intensive postdischarge approaches focused on patients most likely to benefit from these interventions.”
Abstract/Full Text (subscription or payment may be required)
Emergency Diagnosis Linked to Worse Outcomes for Range of Conditions
Small Change in Hours Benefits Emergency Physicians Working Night Shifts
ED Boarding Time Varies Considerably Across Hospitals
Warning Symptoms, Clinical History Can Predict Sudden Cardiac Arrest
2011 to 2021 Saw Heart Failure-Related Hospitalization Rise in CKD
Machine Learning Model IDs Heart Failure With Reduced Ejection Fraction Using Routine Lab Indicators
Addition of CAC to PREVENT-ASCVD Equations May Improve Predictive Utility in Certain Patients
Central Adiposity Reclassifies Cardiovascular Risk Across BMI Spectrum