Title |
Computer‐assisted versus oral‐and‐written family history taking for identifying people with elevated risk of type 2 diabetes mellitus
|
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Published in |
Cochrane database of systematic reviews, December 2011
|
DOI | 10.1002/14651858.cd008489.pub2 |
Pubmed ID | |
Authors |
Yannis Pappas, Igor Wei, Josip Car, Azeem Majeed, Aziz Sheikh |
Abstract |
Diabetes is a chronic illness characterised by insulin resistance or deficiency, resulting in elevated glycosylated haemoglobin A1c (HbA1c) levels. Because diabetes tends to run in families, the collection of data is an important tool for identifying people with elevated risk of type2 diabetes. Traditionally, oral-and-written data collection methods are employed but computer-assisted history taking systems (CAHTS) are increasingly used. Although CAHTS were first described in the 1960s, there remains uncertainty about the impact of these methods on family history taking, clinical care and patient outcomes such as health-related quality of life. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 1% |
Germany | 2 | <1% |
Pakistan | 1 | <1% |
Unknown | 246 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 47 | 19% |
Student > Bachelor | 30 | 12% |
Researcher | 28 | 11% |
Student > Ph. D. Student | 19 | 8% |
Student > Postgraduate | 12 | 5% |
Other | 48 | 19% |
Unknown | 68 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 83 | 33% |
Nursing and Health Professions | 25 | 10% |
Psychology | 16 | 6% |
Social Sciences | 10 | 4% |
Agricultural and Biological Sciences | 8 | 3% |
Other | 32 | 13% |
Unknown | 78 | 31% |