The Use of Electronic Diaries in Dermatology Research

Langan, Sinéad; Williams, HC

doi:10.1159/000203991

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…In many different medical areas--such as neurology [3], sleep medicine [4], paediatrics [5], dermatology [6], gynaecology [7], psychosomatic medicine [8], and rheumatology [9]--electronic diary data provide new insights into processes and temporal relationships. Particularly, in clinical practice and research regarding chronic pain electronic diary assessment is frequently used to examine day-to-day variation in symptoms as well as to investigate the impact of constant self-monitoring on the patient's behaviour [10-12].…”

Section: Introductionmentioning

confidence: 99%

A graphical vector autoregressive modelling approach to the analysis of electronic diary data

Wild

Eichler

Friederich

et al. 2010

BMC Med Res Methodol

117

114

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BackgroundIn recent years, electronic diaries are increasingly used in medical research and practice to investigate patients' processes and fluctuations in symptoms over time. To model dynamic dependence structures and feedback mechanisms between symptom-relevant variables, a multivariate time series method has to be applied.MethodsWe propose to analyse the temporal interrelationships among the variables by a structural modelling approach based on graphical vector autoregressive (VAR) models. We give a comprehensive description of the underlying concepts and explain how the dependence structure can be recovered from electronic diary data by a search over suitable constrained (graphical) VAR models.ResultsThe graphical VAR approach is applied to the electronic diary data of 35 obese patients with and without binge eating disorder (BED). The dynamic relationships for the two subgroups between eating behaviour, depression, anxiety and eating control are visualized in two path diagrams. Results show that the two subgroups of obese patients with and without BED are distinguishable by the temporal patterns which influence their respective eating behaviours.ConclusionThe use of the graphical VAR approach for the analysis of electronic diary data leads to a deeper insight into patient's dynamics and dependence structures. An increasing use of this modelling approach could lead to a better understanding of complex psychological and physiological mechanisms in different areas of medical care and research.

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Section: Introductionmentioning

confidence: 99%

A graphical vector autoregressive modelling approach to the analysis of electronic diary data

Wild

Eichler

Friederich

et al. 2010

BMC Med Res Methodol

117

114

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“…There are many reports describing use of mobile devices as part of the research process. Examples include remote field data collection [1][2][3][4][5] , observational data collection [6][7][8][9] , survey administration, 4,10,11 and patient data diaries [12][13][14][15] . Mobile devices also have the potential to improve the feasibility of conducting research in poor and underserviced areas of the world where this is much needed 16 .…”

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confidence: 99%

Ethical Considerations Related to Mobile Technology Use in Medical Research

Parker¹

2012

Journalmtm

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Mobile technology has become increasingly prevalent in the workplace. Smart phones, tablets, and other forms of personal digital assistant have particular appeal for professionals seeking tools to enhance productivity. Research in particular requires the capacity to collect and process data in an efficient and cost effective manner. Investigators are increasingly turning to mobile devices for solutions as programs and data handling capabilities become more sophisticated. With these developments, however, arises the need to contemplate and address ethical considerations relevant to mobile technology use in the research context.

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