Literature DB >> 31665206

A cross-sectional study assessing agreement between self-reported and general practice-recorded health conditions among community dwelling older adults.

Matthew D Hale1, Gillian Santorelli2, Caroline Brundle1, Andrew Clegg1.   

Abstract

BACKGROUND: self-reported data regarding health conditions are utilised in both clinical practice and research, but their agreement with general practice records is variable. The extent of this variability is poorly studied amongst older adults, particularly amongst those with multiple health conditions, cognitive impairment or frailty. This study investigates the agreement between self-reported and general practice-recorded data amongst such patients and the impact of participant factors on this agreement.
METHODS: data on health conditions was collected from participants in the Community Ageing Research 75+ (CARE75+) study (n = 964) by self-report during face-to-face assessment and interrogation of the participants' general practice electronic health records. Agreement between self-report and practice records was assessed using Kappa statistics and the effect of participant demographics using logistic regression.
RESULTS: agreement ranged from K = 0.25 to 1.00. The presence of ≥2 health conditions modified agreement for cancer (odds ratio, OR:0.62, 95%confidence interval, CI:0.42-0.94), diabetes (OR:0.55, 95%CI:0.38-0.80), dementia (OR:2.82, 95%CI:1.31-6.13) and visual impairment (OR:3.85, 95%CI:1.71-8.62). Frailty reduced agreement for cerebrovascular disease (OR:0.45, 95%CI:0.23-0.89), heart failure (OR:0.40, 95%CI:0.19-0.84) and rheumatoid arthritis (OR:0.41, 95%CI:0.23-0.75). Cognitive impairment reduced agreement for dementia (OR:0.36, 95%CI:0.21-0.62), diabetes (OR:0.47, 95%CI:0.33-0.67), heart failure (OR:0.53, 95%CI:0.35-0.80), visual impairment (OR:0.42, 95%CI:0.25-0.69) and rheumatoid arthritis (OR:0.53, 95%CI:0.37-0.76).
CONCLUSIONS: significant variability exists for agreement between self-reported and general practice-recorded comorbidities. This is further affected by an individual's health conditions. This study is the first to assess frailty as a factor modifying agreement and highlights the importance of utilising the general practice records as the gold standard for data collection from older adults.
© The Author(s) 2019. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  frailty; long-term conditions; multi-morbidity; older people

Mesh:

Year:  2019        PMID: 31665206     DOI: 10.1093/ageing/afz124

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  5 in total

1.  The Convergent Validity of the electronic Frailty Index (eFI) with the Clinical Frailty Scale (CFS).

Authors:  Antoinette Broad; Ben Carter; Sara Mckelvie; Jonathan Hewitt
Journal:  Geriatrics (Basel)       Date:  2020-11-09

2.  Analysis of Quality of Life and Nutritional Status in Elderly Patients with Dysphagia in Order to Prevent Hospital Admissions in a COVID-19 Pandemic.

Authors:  Virginia E Fernández-Ruiz; Rocío Paredes-Ibáñez; David Armero-Barranco; Juan Francisco Sánchez-Romera; Mercedes Ferrer
Journal:  Life (Basel)       Date:  2020-12-31

3.  Community Ageing Research 75+ (CARE75+) REMOTE study: a remote model of recruitment and assessment of the health, well-being and social circumstances of older people.

Authors:  Lesley Brown; Anne Heaven; Catherine Quinn; Victoria Goodwin; Carolyn Chew-Graham; Farhat Mahmood; Sarah Hallas; Ikhlaq Jacob; Caroline Brundle; Kate Best; Amrit Daffu-O'Reilly; Karen Spilsbury; Tracey Anne Young; Rebecca Hawkins; Barbara Hanratty; Elizabeth Teale; Andrew Clegg
Journal:  BMJ Open       Date:  2021-11-22       Impact factor: 2.692

4.  Inaccurate recognition of own comorbidities is associated with poor prognosis in elderly patients with heart failure.

Authors:  Daichi Maeda; Yuya Matsue; Nobuyuki Kagiyama; Kentaro Jujo; Kazuya Saito; Kentaro Kamiya; Hiroshi Saito; Yuki Ogasahara; Emi Maekawa; Masaaki Konishi; Takeshi Kitai; Kentaro Iwata; Hiroshi Wada; Masaru Hiki; Taishi Dotare; Tsutomu Sunayama; Takatoshi Kasai; Hirofumi Nagamatsu; Tetsuya Ozawa; Katsuya Izawa; Shuhei Yamamoto; Naoki Aizawa; Ryusuke Yonezawa; Kazuhiro Oka; Shin-Ichi Momomura; Tohru Minamino
Journal:  ESC Heart Fail       Date:  2022-01-27

5.  How blood pressure predicts frailty transitions in older adults in a population-based cohort study: a multi-state transition model.

Authors:  Daniela Anker; Cristian Carmeli; Marcel Zwahlen; Nicolas Rodondi; Valérie Santschi; Yves Henchoz; Christina Wolfson; Arnaud Chiolero
Journal:  Int J Epidemiol       Date:  2022-08-10       Impact factor: 9.685

  5 in total

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