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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
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Predicting and preventing avoidable hospital admissions: a review.

S Purdey1, A Huntley

  • 1S Purdy Centre for Academic Primary Care, NIHR School for Primary Care Research, School of Social and Community Medicine University of Bristol Canynge Hall 39 Whatley Road Bristol BS8 2PS, UK. Sarah.Purdy@bristol.ac.uk.

The Journal of the Royal College of Physicians of Edinburgh
|December 19, 2013
PubMed
Summary

Identifying avoidable hospital admissions requires considering factors like age and deprivation. While some interventions like education and telemedicine show promise, others lack evidence, emphasizing the need for robust service evaluation.

Keywords:
Hospital admissionsolder peoplesystematic reviews

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Area of Science:

  • Health Services Research
  • Public Health
  • Healthcare Management

Background:

  • Avoidable hospital admissions represent a significant burden on healthcare systems.
  • Identifying key risk factors and effective interventions is crucial for resource allocation and patient outcomes.

Purpose of the Study:

  • To review the evidence on risk factors for avoidable hospital admissions.
  • To evaluate the effectiveness of various healthcare services in reducing these admissions.

Main Methods:

  • Systematic review of existing literature on risk factors and interventions.
  • Analysis of evidence for services including education, self-management, telemedicine, and specialist care.

Main Results:

  • Strongest risk factors identified are age and deprivation; ethnicity, distance, rurality, lifestyle, and weather also play roles.
  • Effective interventions include patient education, self-management support, exercise, rehabilitation, and telemedicine for specific conditions.
  • Specialist heart failure services and end-of-life care demonstrated effectiveness.
  • Several interventions, such as case management, specialist clinics, and medication reviews, showed no significant impact on reducing avoidable admissions.

Conclusions:

  • There is considerable uncertainty regarding which hospital admissions are truly avoidable.
  • Evidence supports targeted interventions like patient education and telemedicine for specific populations.
  • Many commonly implemented services lack robust evidence for reducing avoidable admissions.
  • There is a critical need for rigorous evaluation of new healthcare services to ensure their effectiveness and efficiency.