Development and pilot study of a bed-exit alarm based on a body-worn accelerometer

BackgroundFalls are a major problem in hospitals and nursing homes. The consequences of falls can be severe, both for the individual and for the caring institution.ObjectiveThe aim of the work presented here is to reduce the number of falls on a geriatric ward by monitoring patients more closely. To achieve this goal, a bed-exit alarm that reliably detects an attempt to get up has been constructed.Materials and methodsA requirements analysis revealed the nurses’ and physicians’ needs and preferences. Based on the gathered information, an incremental design process generated different prototypes. These were tested for the reliability of their ability to detect attempts to get up in both laboratory settings and with geriatric patients. Based on the result of these tests, a scalable technical solution has been developed and proven its reliability in a 1-year, randomized controlled pilot clinical trial on a geriatric ward.ResultsThe developed system is unobtrusive and easy to deploy. It has been tested in laboratory settings, usability tests and a 1-year randomized clinical trial with 98 patients. This paper focuses on the technical development of the system. We present different prototypes, the experiments and the pilot study used to evaluate their performance. Last but not least, we discuss the lessons learned so far.ConclusionThe developed bed-exit alarm is able to reliably detect patients’ attempts to get up. The results of the clinical trial show that the system is able to reduce the number of falls on a geriatric ward. Next steps are the design of a specialized sensor node that is easier to use and can be applied on an even larger scale due to its reduced cost. A multicenter trial with a larger number of patients is required to confirm the results of this pilot study.ZusammenfassungHintergrundStürze in Krankenhäusern und Pflegeheimen stellen ein großes Problem mit teils schwerwiegenden Folgen, sowohl für das Individuum als auch für die Einrichtung, dar.ZielsetzungZiel der vorliegenden Arbeit ist die Reduktion der Anzahl von Stürzen auf Geriatriestationen durch eine engmaschige Überwachung. Für dieses Ziel wurde ein Bettenaustiegsalarm entwickelt, der zuverlässig Aufstehversuche erkennt.MethodeEine Anforderungsanalyse, die mit Pflegenden und Medizinern durchgeführt wurde, ergab wesentliche Anforderungen und Wünsche. Ein inkrementeller Designprozess generierte Prototypen, die unter Laborbedingungen und mit einigen geriatrischen Patienten auf Zuverlässigkeit der Erkennung getestet und verfeinert wurden. Ergebnis dieses Prozesses ist eine skalierbare technische Lösung, die ihre Zuverlässigkeit in einer einjährigen Pilotstudie auf einer Geriatriestation bewies.ErgebnisseDas System ist unaufdringlich, leicht einzusetzen und wurde unter Laborbedingungen, in kurzen klinischen Tests und in einer einjährigen klinischen Studie mit 98 Patienten getestet. Diese Arbeit beschreibt v. a. die technische Entwicklung des Systems. Sie stellt die verschiedenen Prototypen, die Experimente und die Pilotstudie vor und beschreibt die gewonnenen Erkenntnisse.SchlussfolgerungenDas entwickelte Bettenausstiegsalarmsystem erkennt sehr zuverlässig Versuche das Bett zu verlassen. Die klinische Studie deutet darauf hin, dass durch den Einsatz des Systems die Sturzrate auf der Geriatriestation gesenkt wurde. Die nächsten Schritte sind die Entwicklung eines speziellen Sensorkontens, der aufgrund der geringeren Stückkosten besser skaliert und einfacher anzuwenden ist. Eine multizentrische Studie mit größeren Patientenzahlen soll die Ergebnisse der Pilotstudie festigen.

[1]  R Tideiksaar,et al.  Falls prevention: the efficacy of a bed alarm system in an acute-care setting. , 1993, The Mount Sinai journal of medicine, New York.

[2]  J. D. Janssen,et al.  A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.

[3]  D. Oliver,et al.  Development and evaluation of evidence based risk assessment tool (STRATIFY) to predict which elderly inpatients will fall: case-control and cohort studies , 1997, BMJ.

[4]  S. Miles,et al.  Pictures of fatal bedrail entrapment. , 1998, American family physician.

[5]  P. Seed,et al.  Do Hospital Fall Prevention Programs Work? A Systematic Review , 2000, Journal of the American Geriatrics Society.

[6]  B. Hodgkinson,et al.  Falls risk factors in the hospital setting: a systematic review. , 2001, International journal of nursing practice.

[7]  Uwe Hansmann,et al.  Pervasive Computing , 2003 .

[8]  D. Hendrie,et al.  A prospective study of the costs of falls in older adults living in the community , 2003, Australian and New Zealand journal of public health.

[9]  Paul Lukowicz,et al.  Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers , 2004, Pervasive.

[10]  Bed exit alarms. , 2004, Health devices.

[11]  Nigel H. Lovell,et al.  Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring , 2006, IEEE Transactions on Information Technology in Biomedicine.

[12]  Peter H. Veltink,et al.  Ambulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing , 2007, IEEE Transactions on Biomedical Engineering.

[13]  R. Halfens,et al.  Falls in German in-patients and residents over 65 years of age. , 2007, Journal of clinical nursing.

[14]  A. Gafni,et al.  Hip protectors decrease hip fracture risk in elderly nursing home residents: a Bayesian meta-analysis. , 2007, Journal of clinical epidemiology.

[15]  Elizabeth Capezuti,et al.  Bed-exit alarm effectiveness. , 2009, Archives of gerontology and geriatrics.

[16]  Ngaire Kerse,et al.  Interventions for preventing falls in older people in nursing care facilities and hospitals. , 2010, The Cochrane database of systematic reviews.

[17]  U. Lindemann,et al.  Development of the Lie-to-Sit-to-Stand-to-Walk Transfer (LSSWT) test for early mobilization in older patients in geriatric rehabilitation , 2011, Zeitschrift für Gerontologie und Geriatrie.

[18]  Alan Bourke,et al.  Optimum gravity vector and vertical acceleration estimation using a tri-axial accelerometer for falls and normal activities , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  L. Wolf,et al.  Architecture and evaluation of INGA an inexpensive node for general applications , 2012, 2012 IEEE Sensors.

[20]  R. Cumming,et al.  Interventions for preventing falls in older people in care facilities and hospitals. , 2014, Orthopedic nursing.

[21]  Angelo Cappello,et al.  Quantitative Description of the Lie-to-Sit-to-Stand-to-Walk Transfer by a Single Body-Fixed Sensor , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[22]  Alexander Horsch,et al.  Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity , 2013, PloS one.