Pablo J López-Soto1, Michael H Smolensky, Linda L Sackett-Lundeen, Alfredo De Giorgi, María A Rodríguez-Borrego, Roberto Manfredini, Cristiano Pelati, Fabio Fabbian. 1. Pablo J. López-Soto, PhD, is Postdoctoral Researcher, Department of Nursing, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Spain. Michael H. Smolensky, PhD, is Adjunct Professor, Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin. Linda L. Sackett-Lundeen, CLS, MT(ASCP), is Research Investigator, American Association for Clinical Chronobiology and Chronotherapeutics, Roseville, Minnesota. Alfredo De Giorgi, MD, is Associate Professor, Clinica Medica, Department of Medical Science, University of Ferrara, Italy. María A. Rodríguez-Borrego, PhD, is Full Professor, Department of Nursing, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Spain. Roberto Manfredini, MD, FRSPH, is Full Professor, Clinica Medica, Department of Medical Science, University of Ferrara, Italy. Cristiano Pelati, PhD, is Associate Professor, Azienda Unità Sanitaria Locale of Ferrara, Italy. Fabio Fabbian, MD, is Associate Professor, Clinica Medica, Department of Medical Science, University of Ferrara, Italy.
Abstract
BACKGROUND: A potentially important factor yet to receive adequate study is the time when hospital falls occur. A prior study conducted before the system-wide introduction of preventive measures revealed a biphasic 24-hour pattern of hospital falls with major peak in the morning. OBJECTIVES: The purpose was to identify the temporal patterning of falls among elderly patients in hospitals with comprehensive fall prevention programs in place. METHODS: A 4-year observational study was conducted by the local health authority in the five nonteaching public hospitals located in the province of Ferrara, Italy. Fall records involving patients of ages ≥65 years hospitalized in the general medical departments were used. Single- and multiple-component cosinor (time series) analyses were used to explore 24-hour, weekly, and annual patterns of falls. RESULTS: A total of 763 falls were experienced by 709 different elderly hospitalized patients. Falls typically took place in the patient's hospital room (72%) and bathroom (23%). Major causes were patient instability (32%) and accident (13%), and most occurred when not wearing footwear (45%) or wearing inappropriate sling-back open-toe shoes (39%). Falls happened while standing (39%), while seated (21%), and while getting into, out of, or laying in bed (32%)-either with the bed rails raised or lowered. Fall outcome usually involved no injury (58%) or slight injury (35%), but some (7%) were disabling. Fall occurrence was higher during the night (46%) compared to either the morning (30%) or afternoon (24%) shift. Patterns across 24 hours were characterized by a single major and one or more minor peaks that seemed to be associated with a variety of scheduled patient, hospital, and nursing activities. Multiple-component cosinor analysis identified significant (p < .05) prominent day-night patterns according to fall location, patient position, cause, injury severity, and type of footwear. Falls were more frequent, but not significantly so, on Fridays, Sundays, and Mondays compared with Tuesdays, and were more frequent in winter and spring (p = .003). DISCUSSION: Documentation by cause and circumstance of these moderate- to high-amplitude temporal patterns in hospital falls of elderly patients advances the knowledge of fall epidemiology by identifying the times of day, week, and year and nursing shifts of elevated risk that is of critical importance to improving hospital patient safety programs.
BACKGROUND: A potentially important factor yet to receive adequate study is the time when hospital falls occur. A prior study conducted before the system-wide introduction of preventive measures revealed a biphasic 24-hour pattern of hospital falls with major peak in the morning. OBJECTIVES: The purpose was to identify the temporal patterning of falls among elderly patients in hospitals with comprehensive fall prevention programs in place. METHODS: A 4-year observational study was conducted by the local health authority in the five nonteaching public hospitals located in the province of Ferrara, Italy. Fall records involving patients of ages ≥65 years hospitalized in the general medical departments were used. Single- and multiple-component cosinor (time series) analyses were used to explore 24-hour, weekly, and annual patterns of falls. RESULTS: A total of 763 falls were experienced by 709 different elderly hospitalized patients. Falls typically took place in the patient's hospital room (72%) and bathroom (23%). Major causes were patient instability (32%) and accident (13%), and most occurred when not wearing footwear (45%) or wearing inappropriate sling-back open-toe shoes (39%). Falls happened while standing (39%), while seated (21%), and while getting into, out of, or laying in bed (32%)-either with the bed rails raised or lowered. Fall outcome usually involved no injury (58%) or slight injury (35%), but some (7%) were disabling. Fall occurrence was higher during the night (46%) compared to either the morning (30%) or afternoon (24%) shift. Patterns across 24 hours were characterized by a single major and one or more minor peaks that seemed to be associated with a variety of scheduled patient, hospital, and nursing activities. Multiple-component cosinor analysis identified significant (p < .05) prominent day-night patterns according to fall location, patient position, cause, injury severity, and type of footwear. Falls were more frequent, but not significantly so, on Fridays, Sundays, and Mondays compared with Tuesdays, and were more frequent in winter and spring (p = .003). DISCUSSION: Documentation by cause and circumstance of these moderate- to high-amplitude temporal patterns in hospital falls of elderly patients advances the knowledge of fall epidemiology by identifying the times of day, week, and year and nursing shifts of elevated risk that is of critical importance to improving hospital patient safety programs.
Authors: Raimunda Montejano-Lozoya; Isabel Miguel-Montoya; Vicente Gea-Caballero; María Isabel Mármol-López; Antonio Ruíz-Hontangas; Rafael Ortí-Lucas Journal: Int J Environ Res Public Health Date: 2020-08-20 Impact factor: 3.390
Authors: Pablo Jesús López-Soto; Juan de la Cruz López-Carrasco; Fabio Fabbian; Rosa María Miñarro-Del Moral; Rocío Segura-Ruiz; Pedro Hidalgo-Lopezosa; Roberto Manfredini; María Aurora Rodríguez-Borrego Journal: BMC Nurs Date: 2021-06-06