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Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
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Multi-Modal Home Sleep Monitoring in Older Adults
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Patient-centeredness in the multimorbid elderly: a focus group study.

Manuela Kanat1, Jonas Schaefer2, Laura Kivelitz3

  • 1Section of Health Care Research and Rehabilitation Research, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Hugstetter Str. 49, 79106, Freiburg, Germany.

BMC Geriatrics
|October 19, 2021
PubMed
Summary

Patient-centered care (PC) is adapted to individual needs. For older patients with multimorbidity, PC is applicable and enhanced by considering individual care needs in aging and chronic disease.

Keywords:
Chronic diseaseFocus groupMultimorbidityOlder patientsPatient-centeredness

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Area of Science:

  • Gerontology
  • Health Services Research
  • Patient-Centered Care

Background:

  • Patient-centeredness (PC) adapts healthcare to individual patient needs and preferences.
  • An existing integrative model of PC has dimensions not yet explored from the patient perspective.
  • Older patients with multimorbidity have complex, individualized care needs, making them a key population for PC.

Purpose of the Study:

  • To assess the perspective of older patients with multimorbidity on patient-centered care.
  • To examine the applicability of an existing integrative model of PC to this population.
  • To identify specific aspects of PC relevant to older adults with multiple chronic conditions.

Main Methods:

  • Conducted 4 guided focus group interviews with 20 older individuals with multimorbidity.
  • Audio-recorded and transcribed interviews verbatim.
  • Content-analyzed patient statements using a pre-defined category system, including dimensions of PC and a new category for prognosis and life expectancy.

Main Results:

  • Confirmed and expanded the 'prognosis and life expectancy' category to 'individual care needs related to aging and chronic disease'.
  • Validated all dimensions of the integrative PC model for this population.
  • Identified eight dimensions complemented by age-specific aspects, including biopsychosocial perspective and clinician-patient communication.

Conclusions:

  • The integrative PC model is applicable to older patients with multimorbidity.
  • A population-specific adaptation requires the 'individual care needs in aging and chronic disease' dimension and age-specific considerations.
  • The adapted model will inform a systematic review of PC measurement instruments for this demographic.