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Healthcare Associated Infections II: Preventive Measures01:22

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Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
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Preventive Healthcare Services01:30

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Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
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Methods of Documentation VI: Case Management Model01:15

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Levels of Health Promotion and Illness Prevention01:26

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Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
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Pneumonia V: Nursing management and Prevention01:30

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Planning Nursing Care I01:21

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The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...
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Related Experiment Video

Updated: May 4, 2026

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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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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Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
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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.