Literature DB >> 26176639

Perspectives of Nurses and Patients on Call Light Technology.

Jose Galinato1, Mary Montie, Lance Patak, Marita Titler.   

Abstract

Call lights are prevalent in inpatient healthcare facilities across the nation. While call light use directly influences the delivery of nursing care, there remain significant gaps both in research and technology that can affect the quality of care and patient satisfaction. This study examines nurse and patient perceptions of the use of a new call communication solution, Eloquence, in the acute care inpatient setting. Eighteen patients were recruited for the study and participated in individual semistructured interviews during their hospital stay. Eighteen nurses were recruited and participated in focus groups for this study. Qualitative descriptive methods were used to analyze the data. Results revealed themes of usability, improved communication, and suggestions for improvement to the alpha prototype design. After a demonstration of the use and capability of Eloquence, nurse and patient participants found Eloquence as a welcomed advancement in nurse call technology that has the potential to improve workflow and patient outcomes. In addition, the participants also proposed ideas on how to further develop the technology to improve its use.

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Mesh:

Year:  2015        PMID: 26176639      PMCID: PMC4546527          DOI: 10.1097/CIN.0000000000000177

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  13 in total

1.  Relationship of actual response time to call lights and patient satisfaction at 4 US hospitals.

Authors:  Huey-Ming Tzeng; David L Ronis; Chang-Yi Yin
Journal:  J Nurs Care Qual       Date:  2012 Apr-Jun       Impact factor: 1.597

2.  Call bell requests, call bell response time, and patient satisfaction.

Authors:  Sheila Roszell; Cheryl B Jones; Mary R Lynn
Journal:  J Nurs Care Qual       Date:  2009 Jan-Mar       Impact factor: 1.597

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.  Wireless communication role in patient response time: a study of vocera integration with a nurse call system.

Authors:  Jason Kuruzovich; Corey M Angst; Samer Faraj; Ritu Agarwal
Journal:  Comput Inform Nurs       Date:  2008 May-Jun       Impact factor: 1.985

5.  Perceptions of reasons call lights are activated pre- and postintervention to decrease call light use.

Authors:  Terri Murray; Jackie Spence; James F Bena; Shannon Morrison; Nancy M Albert
Journal:  J Nurs Care Qual       Date:  2010 Oct-Dec       Impact factor: 1.597

6.  Dance of the call bells: using ethnography to evaluate patient satisfaction with quality of care.

Authors:  Lynn Deitrick; Joanna Bokovoy; Glenn Stern; Anne Panik
Journal:  J Nurs Care Qual       Date:  2006 Oct-Dec       Impact factor: 1.597

7.  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

8.  Predicting patient satisfaction with nurses' call light responsiveness in 4 US hospitals.

Authors:  Huey-Ming Tzeng; Chang-Yi Yin
Journal:  J Nurs Adm       Date:  2010-10       Impact factor: 1.737

9.  "The button": initiating the patient-nurse interaction.

Authors:  Sue Lasiter
Journal:  Clin Nurs Res       Date:  2013-03-22       Impact factor: 2.075

10.  Perspectives of staff nurses of the reasons for and the nature of patient-initiated call lights: an exploratory survey study in four USA hospitals.

Authors:  Huey-Ming Tzeng
Journal:  BMC Health Serv Res       Date:  2010-02-26       Impact factor: 2.655

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  5 in total

1.  Nurses' work with interruptions: an objective model for testing interventions.

Authors:  Robert A Myers; Pratik J Parikh
Journal:  Health Care Manag Sci       Date:  2017-09-04

2.  Perspectives of 30 English Patients on Call Light Technology, Eloquence Revisited.

Authors:  Mary Montie; Clayton Shuman; Jose Galinato; Lance Patak; Marita Titler
Journal:  Comput Inform Nurs       Date:  2018-01       Impact factor: 1.985

3.  Using Interactive Patient Engagement Technology in Clinical Practice: A Qualitative Assessment of Nurses' Perceptions.

Authors:  Frances L Patmon; Perry M Gee; Tina L Rylee; Noriann L Readdy
Journal:  J Med Internet Res       Date:  2016-11-11       Impact factor: 5.428

4.  Implementation and experience of an innovative smart patient care system: a cross-sectional study.

Authors:  Ming-Huan Wen; Dorothy Bai; Shirling Lin; Chi-Jen Chu; Yeh-Liang Hsu
Journal:  BMC Health Serv Res       Date:  2022-01-29       Impact factor: 2.655

5.  Conduits to care: call lights and patients' perceptions of communication.

Authors:  Mary Montie; Clayton Shuman; Jose Galinato; Lance Patak; Christine A Anderson; Marita G Titler
Journal:  J Multidiscip Healthc       Date:  2017-09-18
  5 in total

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