Literature DB >> 26472046

Frailty and health service use in rural South Australia.

Elsa Dent1, Elizabeth Hoon2, Jonathan Karnon2, Jonathan Newbury3, Alison Kitson4, Justin Beilby5.   

Abstract

BACKGROUND: Frailty is a common geriatric condition, well known to contribute to morbidity and mortality. What is not yet well articulated in the literature is the health service use of frail older people in rural areas. This study investigated the impact of frailty on health service use in rural South Australia.
METHODS: This secondary cross-sectional analysis included people aged ≥ 65 years from the LINKIN health census in Port Lincoln. Frailty was classified using a Frailty Index (FI) score ≥ 0.25. Health service use was determined by patient questionnaire. All regression analyses controlled for age, gender and education level.
RESULTS: 1501 people [mean (SD) age=75.9 (7.9)] years were included. Frailty prevalence was 25%, with this prevalence higher in females (29%) than in males (21%). Compared with their non-frail peers, frail adults were more likely to have consulted health providers, including: general practitioners (GPs) (odds ratio (OR), 95% confidence interval (CI=2.09, 1.24-3.53); physiotherapists (OR, CI=2.42, 1.80-3.25); mental health providers (OR, CI=2.88, 1.42-5.85); community nurses (OR, CI=2.57, 1.73-3.82); and dieticians (OR, CI=2.77, 1.77-4.48). They were also more likely to have visited a health professional prior to a problem occurring (OR, CI=1.51, 1.08-2.11), travelled to the city for a specialist appointment (OR, CI=1.53, 1.11-2.11), and to have been hospitalised in the previous 12 months (OR, CI=2.39, 1.74-3.29).
CONCLUSION: Frail older adults were more likely to use several health services, yet often had unmet needs in their health care.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Frail elderly; Health services/utilization; South Australia/epidemiology

Mesh:

Year:  2015        PMID: 26472046     DOI: 10.1016/j.archger.2015.09.012

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  8 in total

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2.  The impact of frailty on healthcare utilisation in Ireland: evidence from the Irish longitudinal study on ageing.

Authors:  Lorna Roe; Charles Normand; Maev-Ann Wren; John Browne; Aisling M O'Halloran
Journal:  BMC Geriatr       Date:  2017-09-05       Impact factor: 3.921

3.  Frailty assessment in primary health care and its association with unplanned secondary care use: a rapid review.

Authors:  Ben R Davies; Helen Baxter; James Rooney; Phillip Simons; Ann Sephton; Sarah Purdy; Alyson L Huntley
Journal:  BJGP Open       Date:  2018-04-10

4.  Key stakeholders' views on the quality of care and services available to frail seniors in Canada.

Authors:  Anik M C Giguere; Elina Farmanova; Jayna M Holroyd-Leduc; Sharon E Straus; Robin Urquhart; Valerie Carnovale; Erik Breton; Selynne Guo; Nandini Maharaj; Pierre J Durand; France Légaré; Alexis F Turgeon; Michèle Aubin
Journal:  BMC Geriatr       Date:  2018-11-26       Impact factor: 3.921

5.  Prevalence and risk factors of frailty among people in rural areas: a systematic review and meta-analysis.

Authors:  Rui Xu; Qiufang Li; Feifei Guo; Maoni Zhao; Luyao Zhang
Journal:  BMJ Open       Date:  2021-04-27       Impact factor: 2.692

6.  Frailty and healthcare utilisation across care settings among community-dwelling older adults in Singapore.

Authors:  Lixia Ge; Chun Wei Yap; Bee Hoon Heng; Woan Shin Tan
Journal:  BMC Geriatr       Date:  2020-10-06       Impact factor: 3.921

7.  Total Antioxidant Capacity and Frailty in Older Men.

Authors:  Monica C Tembo; Kara L Holloway-Kew; Chiara C Bortolasci; Sophia X Sui; Sharon L Brennan-Olsen; Lana J Williams; Mark A Kotowicz; Julie A Pasco
Journal:  Am J Mens Health       Date:  2020 Sep-Oct

8.  Association of frailty with health service utilisation and health care expenditure in sub-Saharan Africa: evidence from Côte d'Ivoire.

Authors:  Rachel C Ambagtsheer; Richard K Moussa
Journal:  BMC Geriatr       Date:  2021-07-30       Impact factor: 3.921

  8 in total

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