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Data of patients undergoing rehabilitation programs.

Ruggiero Seccia1, Marco Boresta2, Federico Fusco2

  • 1DIAG - Sapienza University of Rome, Via Ariosto 25, Rome 00185, Italy.

Data in Brief
|April 8, 2020
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Summary

This dataset details patient rehabilitation progress, including personal, social, and clinical factors for orthopedic and neurological conditions. It aids in understanding rehabilitation outcomes and influencing factors.

Keywords:
Barthel indexPersonalized healthcareRehabilitation data

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Area of Science:

  • Rehabilitation Medicine
  • Clinical Data Science
  • Health Informatics

Background:

  • The dataset comprises personal, social, and clinical records for patients in a rehabilitation program.
  • Data originates from Acceptance/Discharge Reports (ADR) mandated by Italian law (DGR 731/2005).
  • Records cover hospitalizations at Rome's San Raffaele rehabilitation facility between 2015-2018 for orthopedic and neurological conditions.

Purpose of the Study:

  • To present a comprehensive dataset for analyzing rehabilitation progress.
  • To enable investigation into factors influencing patient recovery in rehabilitation settings.
  • To provide a resource for understanding the impact of various elements on rehabilitation outcomes.

Main Methods:

  • Data collection involved extracting information from Acceptance/Discharge Reports (ADR).
  • Patient clinical status at admission and discharge was documented.
  • The Barthel index was utilized to assess Activities of Daily Living (ADL).

Main Results:

  • The dataset includes detailed patient information, clinical status, and ADL measures.
  • It captures data from 2015 to 2018 for patients with orthopedic and neurological pathologies.
  • The data allows for the examination of rehabilitation progress over time.

Conclusions:

  • This data article introduces a valuable resource for researchers in rehabilitation medicine and clinical data science.
  • The dataset facilitates the study of factors impacting patient recovery and functional improvement.
  • It supports further research into optimizing rehabilitation strategies for diverse patient populations.