Internet in der Rheumatologie

Becker, A.; Specker, Christof; Monser, Robert; Schneider, Matthias

doi:10.1007/s00393-003-0528-5

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…During the past years, several studies focussed on the percentage of patients using the Internet to search for information about their illness. Reported rates of health-related Internet use by patients vary between 24 and 59% in the case of cancer patients [10][11][12][13][14][15][16], and between 14 and 63% in the case of patients with rheumatic disorders [17][18][19][20][21]. Owing to the increasing availability and popularity of the Internet, it can be expected that more patients will use it for health-related reasons.…”

Section: Introductionmentioning

confidence: 99%

Health-related Internet use by patients with somatic diseases: Frequency of use and characteristics of users

Uden–Kraan

Drossaert

Taal

et al. 2009

Informatics for Health and Social Care

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The aim of this study was to explore the percentage of Dutch patients using the Internet to search for information about their illness. In addition, we studied patients' usage of health-related Internet applications, such as online patient support groups. The final objective of this study was to explore which demographic, health and psychological characteristics are related to patients' health-related Internet use. In order to answer these research questions we sent a written questionnaire to a representative sample of patients with breast cancer, rheumatoid arthritis and fibromyalgia. The overall total response rate was 69% (N = 679). In total, 52% of the patients used the Internet to search for information about their illness. However, only 15% of the respondents had ever read along with an online patient support group. An even smaller proportion of the patients (4%) had send postings to such a group. Online communication with health professionals was not commonly practiced. A younger age, a higher education and employment appeared to be the only significant predictors of patients' health-related Internet use. Patients' health-related Internet use could not be predicted by health and psychological characteristics. Although, about half of the patients made use of the Internet for health-related reasons, mostly their health-related Internet use was restricted to seeking information about their illness.

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Section: Introductionmentioning

confidence: 99%

Health-related Internet use by patients with somatic diseases: Frequency of use and characteristics of users

Uden–Kraan

Drossaert

Taal

et al. 2009

Informatics for Health and Social Care

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“…At low reductant levels, NBS oxidizes Au(I), which linearly suppresses subsequent oxidation of TMB by NBS to its distinctive blue charge-transfer complexes of diamine and diimine. 20 At high initial HCHO reductant levels, Au(I) is reduced to Au(0) 21 and then is subsequently oxidized to Au(III) by NBS. 22 Upon addition of TMB, Au(III) is reduced to Au(0) accompanying oxidation of TMB to its spectrophotometrically detectable blue complexes, facilitated by the high HCHO level.…”

mentioning

confidence: 99%

Balancing Redox Activity Allowing Spectrophotometric Detection of Au(I) Using Tetramethylbenzidine Dihydrochloride

Jang¹,

Roper²

2011

Anal. Chem.

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Aqueous, acid solutions containing balanced amounts of a strong reductant (formaldehyde, HCHO) and a strong oxididant (N-bromosuccinimide, NBS) allow the first sensitive spectrophotometric analysis of monovalent gold ion, Au(I), using oxidation of color reagent 3,3',5,5'-tetramethylbenzidine dihydrochloride (TMB). This new method enables various oxidation states of Au ion to be quantified by balancing reduction potential in a Au solution. At low reductant levels, NBS oxidizes Au(I), which linearly suppresses subsequent oxidation of TMB by NBS to its blue charge-transfer complex of diamine and diimine to 2.00 mg L(-1) of Au, resulting in reduced color formation. The linear range of Au(I) quantitation was increased substantially relative to existing methods: from 0.005 to 1.00 mg L(-1) (R(2) = 0.988). For this range, the limit of detection was 0.0025 mg L(-1), which is comparable to the best reported spectroscopic method to analyze Au(III). At relatively high reductant levels, Au(I) is reduced to Au(0), then subsequently oxidized from Au(0) to Au(III) by addition of NBS. TMB is oxidized to its blue charge-transfer complex via the reduction of the reoxidized Au(III) to Au(0). Balancing redox conditions of HCHO/NBS at a molar ration of 22.7 allows quantitative measurement of Au(I) across a linear concentration range of 0.05-2.00 mg L(-1) (R(2) = 0.997). This balancing redox condition could allow sensitive, quantitative, spectrophotometric analysis of other metal ions besides Au by targeting the metal ion's reduction potential with an associated redox-sensitive color reagent.

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“…Of special interest to educators is that all three companies provide plenty of support and Web-based resources to help you get started quickly. Milestone and CEM also provide hardcopy resources: Milestone offers Clean Chemistry: Techniques for the Modern Laboratory , and CEM publishes the laboratory manual Clean Fast Organic Chemistry: Microwave-Assisted Laboratory Experiments .…”

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confidence: 99%