Literature DB >> 25716071

Aboriginal and Torres Strait Islander health: accuracy of patient self-report of screening for diabetes, high cholesterol and cervical cancer.

Jessica Stewart1,2, Rob Sanson-Fisher1, Sandra Eades3.   

Abstract

OBJECTIVE: To determine the accuracy and clinical utility of patient self-reported screening history.
METHODS: Aboriginal and Torres Strait Islander patients (≥18 years; n=587) were interviewed on their screening history according to recommended time intervals; these were matched to pathology data.
RESULTS: The proportion of patients meeting screening guidelines were 32% (95%CI 26%-39%) for diabetes, 43% (95%CI 38%-47%) for cholesterol and 4.1% (95%CI 2.2%-7.3%) for cervical cancer. When patients reported having had the test, their accuracy (PPV) was low: 38% (95%CI 30%-46%) for diabetes, 47% (95%CI 42%-52%) for cholesterol, 6.5% (95%CI 3.0%-12%) for cervical cancer. However, for the minority of patients who had been screened, positive recall (sensitivity) was high: 94% (95%CI 85%-98%) for diabetes, 83% (95%CI 77%-88%) for cholesterol, 90% (95%CI 55%-98%) for cervical cancer. The accuracy of patient recall was good for those who reported not having been screened (NPV): 90% (95%CI 77%-97%) for diabetes, 70% (95%CI 61%-78%) for cholesterol, 99% (95%CI 95%-100%) for cervical cancer.
CONCLUSIONS: The results indicate that reliance on self-report for patients' screening history is inappropriate due to missed opportunities for health gain. However, patients who report not being tested are sufficiently accurate to ensure that ordering the test in this group will involve only a small percentage of unnecessary assays. IMPLICATIONS: GPs often rely on self-report as a fast and inexpensive way to determine whether a patient requires screening. New strategies are needed to identify patients at risk.
© 2015 The Authors.

Entities:  

Keywords:  Aboriginal and Torres Strait Islander people; accuracy self-report; chronic disease

Mesh:

Substances:

Year:  2015        PMID: 25716071     DOI: 10.1111/1753-6405.12309

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  3 in total

1.  Epidemiology of chronic kidney disease in Australian general practice: National Prescribing Service MedicineWise MedicineInsight dataset.

Authors:  Janette Radford; Alex Kitsos; Jim Stankovich; Ronald Castelino; Masuma Khanam; Matthew Jose; Gregory Peterson; Timothy Saunder; Barbara Wimmer; Tabish Razizaidi
Journal:  Nephrology (Carlton)       Date:  2018-12-13       Impact factor: 2.506

2.  Community-Based Chronic Disease Prevention and Management for Aboriginal People in New South Wales, Australia: Mixed Methods Evaluation of the 1 Deadly Step Program.

Authors:  David Peiris; Lachlan Wright; Madeline News; Katherine Corcoran
Journal:  JMIR Mhealth Uhealth       Date:  2019-10-21       Impact factor: 4.773

3.  Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank.

Authors:  Euijung Ryu; Janet E Olson; Young J Juhn; Matthew A Hathcock; Chung-Il Wi; James R Cerhan; Kathleen J Yost; Paul Y Takahashi
Journal:  BMJ Open       Date:  2018-05-14       Impact factor: 2.692

  3 in total

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