Table 1_Heterogeneous trajectories of nutritional support needs in patient–caregiver dyads

159 patient-caregiver dyads were recruited from a tertiary hospital in Shanghai, China, between August 2024 and January 2025. Data were collected at four time points from pre-discharge to 3 months post-discharge, assessing nutritional support needs using the QNN-E questionnaire. The study, authored by Wei Guo and shared under a CC-BY-4.0 license, used latent growth curve modeling and latent class growth analysis to identify heterogeneous trajectories of need.

Use Cases

• Identify distinct patient subgroups based on nutritional need trajectories for therapeutic diet preparation.
• Analyze factors influencing caregiver nutritional support needs based on educational level and relationship to patient.
• Model longitudinal changes in symptom surveillance and complication management needs within dyads.
• Examine the predictive value of baseline assessments like GSES, HADS, and PG-SGA on need trajectory membership.

Strengths

• Prospective longitudinal design with data from 159 dyads collected at four specific time points.
• Analysis includes multiple validated assessment scales (QNN-E, GSES, HADS, ADL, PG-SGA).
• Explicitly examines heterogeneity in needs from both patient and caregiver perspectives.

Limitations

• Dataset is small at 35.5 KB, suggesting limited raw data or a summary document.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to a single hospital in Shanghai.

Provenance

Source

Prospective study conducted at a tertiary hospital in Shanghai, China.

Collection Method

Data collected via questionnaires from patient-caregiver dyads.

Time Range

Data collection occurred between August 2024 and January 2025, with follow-ups over 3 months post-discharge.

Freshness

Last updated 2026-05-14 04:28:36; freshness should be verified.

Geography

Shanghai, China.