Two weeks of meals after discharge linked with fewer early readmissions

Design

Retrospective cohort, single US health system, GEE models with 3-day landmark

Population

368 adults aged ≥60 at risk of food insecurity, discharged home

Primary outcome

Unplanned readmission at 14, 21 and 30 days

Effect

14-day aOR 0.31 (0.14–0.69); 30-day aOR 0.82 (0.44–1.53)

A retrospective cohort in the Journal of Hospital Medicine (19 September) followed 368 adults aged 60 or over, discharged home from one US health system and flagged as at risk of food insecurity or malnutrition. They were referred to a state-funded scheme delivering two weeks of home meals; 62.9% received them.

Meal recipients had lower odds of unplanned readmission at 14 days (adjusted odds ratio 0.31, 95% CI 0.14–0.69) and 21 days (aOR 0.47, 0.23–0.95). By 30 days the association had faded (aOR 0.82, 0.44–1.53). Delivery within nine days was associated with the lowest 14-day readmission.

This is an association, not proof: patients who actually received meals may have differed in ways the adjustment missed. But the signal is consistent with what ward teams see — the first fortnight at home is when frail patients come back, and not eating is part of why.

• Ask about food access and who cooks before discharging an older patient home
• Refer to any available meal or community nutrition service before discharge, not after
• Flag weight loss and poor intake on the discharge summary for the GP
• Where no service exists, involve family or carers explicitly in the first two weeks

Why it matters

Nutrition at home is a modifiable reason older patients bounce back within two weeks.

Don't overread it

This was observational — it cannot show that the meals themselves prevented readmissions.

The statistics, in plain English

An odds ratio of 0.31 means readmission odds were about two-thirds lower in meal recipients at 14 days. The 30-day interval runs from 0.44 to 1.53, crossing 1, so by then the data cannot distinguish benefit from none. Observational comparisons like this can be biased by who manages to receive the service.

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