Literature DB >> 22462485

The contribution of staff call light response time to fall and injurious fall rates: an exploratory study in four US hospitals using archived hospital data.

Huey-Ming Tzeng1, Marita G Titler, David L Ronis, Chang-Yi Yin.   

Abstract

BACKGROUND: Fall prevention programs for hospitalized patients have had limited success, and the effect of programs on decreasing total falls and fall-related injuries is still inconclusive. This exploratory multi-hospital study examined the unique contribution of call light response time to predicting total fall rates and injurious fall rates in inpatient acute care settings. The conceptual model was based on Donabedian's framework of structure, process, and health-care outcomes. The covariates included the hospital, unit type, total nursing hours per patient-day (HPPDs), percentage of the total nursing HPPDs supplied by registered nurses, percentage of patients aged 65 years or older, average case mix index, percentage of patients with altered mental status, percentage of patients with hearing problems, and call light use rate per patient-day.
METHODS: We analyzed data from 28 units from 4 Michigan hospitals, using archived data and chart reviews from January 2004 to May 2009. The patient care unit-month, defined as data aggregated by month for each patient care unit, was the unit of analysis (N = 1063). Hierarchical multiple regression analyses were used.
RESULTS: Faster call light response time was associated with lower total fall and injurious fall rates. Units with a higher call light use rate had lower total fall and injurious fall rates. A higher percentage of productive nursing hours provided by registered nurses was associated with lower total fall and injurious fall rates. A higher percentage of patients with altered mental status was associated with a higher total fall rate but not a higher injurious fall rate. Units with a higher percentage of patients aged 65 years or older had lower injurious fall rates.
CONCLUSIONS: Faster call light response time appeared to contribute to lower total fall and injurious fall rates, after controlling for the covariates. For practical relevance, hospital and nursing executives should consider strategizing fall and injurious fall prevention efforts by aiming for a decrease in staff response time to call lights. Monitoring call light response time on a regular basis is recommended and could be incorporated into evidence-based practice guidelines for fall prevention.

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Year:  2012        PMID: 22462485      PMCID: PMC3364911          DOI: 10.1186/1472-6963-12-84

Source DB:  PubMed          Journal:  BMC Health Serv Res        ISSN: 1472-6963            Impact factor:   2.655


  23 in total

1.  Exploring the relationship between patient call-light use rate and nurse call-light response time in acute care settings.

Authors:  Huey-Ming Tzeng; Janet L Larson
Journal:  Comput Inform Nurs       Date:  2011-03       Impact factor: 1.985

2.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

3.  The extrinsic risk factors for inpatient falls in hospital patient rooms.

Authors:  Huey-Ming Tzeng; Chang-Yi Yin
Journal:  J Nurs Care Qual       Date:  2008 Jul-Sep       Impact factor: 1.597

4.  Partnering with patients and families in designing visual cues to prevent falls in hospitalized elders.

Authors:  Lee Jeske; Valerie Kolmer; Mary Muth; Stephanie Cerns; Sara Moldenhaur; Mary L Hook
Journal:  J Nurs Care Qual       Date:  2006 Jul-Sep       Impact factor: 1.597

5.  Effects of nursing rounds: on patients' call light use, satisfaction, and safety.

Authors:  Christine M Meade; Amy L Bursell; Lyn Ketelsen
Journal:  Am J Nurs       Date:  2006-09       Impact factor: 2.220

Review 6.  Strategies to prevent falls and fractures in hospitals and care homes and effect of cognitive impairment: systematic review and meta-analyses.

Authors:  David Oliver; James B Connelly; Christina R Victor; Fiona E Shaw; Anne Whitehead; Yasemin Genc; Alessandra Vanoli; Finbarr C Martin; Margot A Gosney
Journal:  BMJ       Date:  2006-12-08

Review 7.  Interventions for preventing falls in acute- and chronic-care hospitals: a systematic review and meta-analysis.

Authors:  Joke Coussement; Leen De Paepe; René Schwendimann; Kris Denhaerynck; Eddy Dejaeger; Koen Milisen
Journal:  J Am Geriatr Soc       Date:  2007-11-20       Impact factor: 5.562

8.  Circumstances of patient falls and injuries in 9 hospitals in a midwestern healthcare system.

Authors:  Melissa J Krauss; Sheila L Nguyen; Wm Claiborne Dunagan; Stanley Birge; Eileen Costantinou; Shirley Johnson; Barbara Caleca; Victoria J Fraser
Journal:  Infect Control Hosp Epidemiol       Date:  2007-03-22       Impact factor: 3.254

Review 9.  Risk factors and risk assessment tools for falls in hospital in-patients: a systematic review.

Authors:  David Oliver; Fergus Daly; Finbarr C Martin; Marion E T McMurdo
Journal:  Age Ageing       Date:  2004-03       Impact factor: 10.668

10.  Falls and consequent injuries in hospitalized patients: effects of an interdisciplinary falls prevention program.

Authors:  René Schwendimann; Hugo Bühler; Sabina De Geest; Koen Milisen
Journal:  BMC Health Serv Res       Date:  2006-06-07       Impact factor: 2.655

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  4 in total

1.  Perspectives of Nurses and Patients on Call Light Technology.

Authors:  Jose Galinato; Mary Montie; Lance Patak; Marita Titler
Journal:  Comput Inform Nurs       Date:  2015-08       Impact factor: 1.985

2.  Factors Driving Patient Perception of Quality Care After Primary Total Hip and Total Knee Arthroplasty.

Authors:  Devon C Freudenberger; Erin A Baker; Matthew P Siljander; Rachel S Rohde
Journal:  J Am Acad Orthop Surg Glob Res Rev       Date:  2018-11-08

3.  REFINE (REducing Falls in In-patieNt Elderly) using bed and bedside chair pressure sensors linked to radio-pagers in acute hospital care: a randomised controlled trial.

Authors:  Opinder Sahota; Avril Drummond; Denise Kendrick; Matthew J Grainge; Catherine Vass; Tracey Sach; John Gladman; Mark Avis
Journal:  Age Ageing       Date:  2013-10-18       Impact factor: 10.668

4.  Effects of falls prevention interventions on falls outcomes for hospitalised adults: protocol for a systematic review with meta-analysis.

Authors:  Susan C Slade; David L Carey; Anne-Marie Hill; Meg E Morris
Journal:  BMJ Open       Date:  2017-11-12       Impact factor: 2.692

  4 in total

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