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  • Oxford University Press (OUP)  (2)
  • 1
    In: Age and Ageing, Oxford University Press (OUP), Vol. 52, No. 3 ( 2023-03-01)
    Abstract: Patient-centredness (PC) is central to the health care of older adults with multimorbidity, but knowledge about the psychometric quality of instruments measuring it in this group is scarce. Based on an integrative model of PC, we aimed to identify assessment instruments of PC for this particular group and evaluate their psychometric properties. Methods We systematically searched six electronic databases (MEDLINE, CINAHL, EMBASE, PsycINFO, Web of Science and PSYNDEX), initially covering research published up to 2018 and updated later to include work up to July 2022. In evaluating the psychometric properties of identified instruments, we followed the COSMIN methodology. Results We identified 12 studies reporting on 10 instruments measuring PC in the health care of older adults with multimorbidity. For these instruments, structural validity and internal consistency were the psychometric properties reported most often. Based on the COSMIN criteria, eight instruments received favourable ratings for internal consistency with respect to methodological quality (‘very good’), measurement property (‘sufficient’) and overall quality of evidence (‘moderate’). Ratings of structural validity varied more largely, with three to seven instruments showing at least adequate methodological quality, sufficient structural validity or moderate quality of evidence. Conclusions Similar to comparable previous reviews, evidence on the psychometric properties of instruments assessing PC in the health care of older adults with multimorbidity was rather limited. Informed by comprehensive models of PC, further research should aim at developing measures of PC that stand out on a broader range of psychometric properties.
    Type of Medium: Online Resource
    ISSN: 0002-0729 , 1468-2834
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2065766-3
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  • 2
    In: The Gerontologist, Oxford University Press (OUP), Vol. 61, No. 7 ( 2021-09-13), p. 1008-1018
    Abstract: Older adults suffering from multimorbidity represent a priority target group for patient-centeredness (PC). We aimed to investigate the transferability of an existing integrated model of PC comprising 15 dimensions on the care of older adults with multimorbidity from an expert perspective. Research Design and Methods A total of 242 experts were invited to participate in a 2-round online Delphi study. In round 1, they were asked to (a) individually rate relevance and clarity of the dimensions, (b) add missing dimensions, and (c) prioritize the dimensions. In round 2, experts received results of round 1 and were asked to rerate their ratings. Results Forty-eight experts participated in round 1 and 39 in round 2. Ten dimensions were rated as sufficiently relevant and clear, including one new dimension (“prognosis and life expectancy, burden of treatment”). Four dimensions were rated as relevant but insufficiently clear. One dimension failed to reach our validation threshold on both criteria. The 5 dimensions rated as most important were: “patient as a unique person,” “clinician–patient communication,” “patient involvement in care,” “physical, cognitive, and emotional support,” and “involvement of family and friends.” Discussion and Implications The experts’ ratings were higher regarding relevance than regarding clarity, which emphasizes the still existing conceptual uncertainty of PC. Our results give further directions regarding the operationalization of PC in older adults with multimorbidity, which is essential for its implementation in routine care. Further refined using focus groups with geriatric patients, our adapted model serves as a basis for a systematic review of assessment instruments.
    Type of Medium: Online Resource
    ISSN: 0016-9013 , 1758-5341
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2043844-8
    SSG: 12
    SSG: 5,2
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