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NEUROLOGY 2009;73:1579-1583
© 2009 American Academy of Neurology

Feasibility and validity of computerized ambulatory monitoring in stroke patients

E. I. Johnson, PhD, I. Sibon, MD, PhD, P. Renou, MD, F. Rouanet, MD, M. Allard, MD, PhD and J. Swendsen, PhD

From the National Center for Scientific Research (CNRS 5231) (E.I.J., I.S., M.A., J.S.), Bordeaux; and CHU Bordeaux (I.S., P.R., F.R., M.A.), Pôle de Neurosciences Cliniques, Hôpital Pellegrin, Bordeaux, France.

Address correspondence and reprint requests to Dr. Joel Swendsen, National Center for Scientific Research (CNRS 5231), 146 rue Léo Saignat, 33076 Bordeaux Cedex, France joel.swendsen{at}u-bordeaux2.fr

Background: Computerized ambulatory monitoring provides real-time assessments of clinical outcomes in natural contexts, and it has been increasingly applied in recent years to investigate symptom expression in a wide range of disorders. The purpose of this study was to examine the feasibility and validity of this data collection strategy with adult stroke patients.

Methods: Forty-eight individuals (75% of the contacted sample) agreed to participate in the current study and were instructed to complete electronic interviews using a personal digital assistant 5 times per day over a 1-week period.

Results: More than 80% of programmed assessments were completed by the sample, and no evidence was found for fatigue effects. Expected patterns of associations were observed among daily life variables, and data collected through ambulatory monitoring were significantly correlated with standard clinic-based measures of similar constructs.

Conclusion: Support was found for the feasibility and validity of computerized ambulatory monitoring with stroke patients. The application of these novel methods with stroke patients should provide complementary information that is inaccessible to standard hospital-based assessments and permit increased understanding of the significance of clinical results and test scores for daily life experience.

DSM-IV-R = Diagnostic and Statistical Manual of Mental Disorders, 4th edition, revised; EMA = ecologic momentary assessment; ESM = experience sampling method; HAM-A = Hamilton Anxiety Rating Scale; HAM-D = Hamilton Depression Rating Scale; MMSE = Mini-Mental State Examination; PDA = personal digital assistant; SE = standard error.

This research was supported by a CNRS ATIP grant to Dr. Swendsen.

Disclosure: The authors report no disclosures.

Received March 11, 2009. Accepted in final form August 6, 2009.






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