Expanding Potential of Radiofrequency Nurse Call Systems to Measure Nursing Time in Patient Rooms

Fahey, Linda; Lopez, Karen V. Dunn; Storfjell, Judith Lloyd; Keenan, Gail M.

doi:10.1097/nna.0b013e31828eebe1

Cited by 11 publications

(16 citation statements)

References 20 publications

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“…Seven of the eight (80%) examined the physical domain of nursing work. Of these, Fahey, Lopez, Storfjell, and Keenan () examined only physical work while the other six examined additional dimensions: five examined organisational aspects (Bennett et al, ; Dearmon et al, ; Gomes et al, ; Hsieh et al, ; Kossman & Scheidenhelm, ), three examined emotional aspects (Bennett et al, ; Kossman & Scheidenhelm, ; Schenk et al, ), and one examined cognitive aspects (Probst et al, ) of nursing work. Alternatively, Dearmon et al () examined only organisational work.…”

Section: Resultsmentioning

confidence: 99%

“…Structured continuous (Bennett et al, ) or intermittent (Dearmon et al, ) observations (Gomes et al, ; Probst et al, ; Schenk et al, ) were most common, while Kossman and Scheidenhelm () used unstructured field observations. Fahey et al () captured nurses' movements electronically using RFID tracking, and Probst et al () used electronic location data for a similar purpose. Alternatively, Hsieh et al () combined surveys and medical record audit to examine both physical and organisational domains of nursing work.…”

Section: Resultsmentioning

confidence: 99%

“…Other methods used in combination with direct observation included focus groups (Bennett et al, ) or individual interviews (Kossman & Scheidenhelm, ; Probst et al, ), quantitative (Dearmon et al, ; Gomes et al, ; Schenk et al, ) and qualitative (Fahey et al, ; Kossman & Scheidenhelm, ) surveys, and organisational data such as safety or incident reports (Dearmon et al, ) or call bell (Fahey et al, ).…”

Section: Resultsmentioning

confidence: 99%

“…The types of technology examined in these multi‐method studies included EMR (Gomes et al, ; Kossman & Scheidenhelm, ; Schenk et al, ) or electronic charting (Hsieh et al, ), medication management systems (Bennett et al, ), changes in work models (Dearmon et al, ; Probst et al, ) and an electronic call bell system (Fahey et al, ).…”

Section: Resultsmentioning

confidence: 99%

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Methods used to examine technology in relation to the quality of nursing work in acute care: A systematic integrative review

Redley

Douglas

Botti

2020

Journal of Clinical Nursing

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Aims and objectives:To systematically locate, assess and synthesise research to describe methods used to examine technology in relation to the quality of nursing work in acute care. Specific objectives were to (a) describe the types of nursing work examined; (b) describe methods used to examine technology in nursing work; (c) identify outcomes used to evaluate technology in relation to the quality of nursing work; and (d) make recommendations for future research.Background: New technologies can offer numerous benefits to nurses; however, it is challenging to evaluate health information technologies in relation to the quality of nurses' complex day-to-day work.Design: A systematic integrative review using a five-step process.Methods: Five databases were searched using search terms "nurs*," "workload," "task," "time." Data screening, extraction and interpretation were conducted independently by at least two authors and agreement verified by discussion. Data extraction followed PRISMA guidelines. Results:Of the 41 studies included, most (87.8%, n = 36) examined physical dimensions of nursing work; 31.7% (n = 13) organisational dimensions; 17.1% (n = 8) cognitive dimensions; and only 12.2% (n = 5) emotional dimensions. More than half (58.5%, n = 24) examined only one dimension; one captured all four dimensions. Most frequently examined technologies were electronic medical/health records (36.5%) and electronic medication management (19.5%). Direct observation (58.8%, n = 28) and multiple methods (19.5%, n = 8) were the most common methods; nurse tasks, frequency, duration and time distribution were variables most often measured. Conclusions: Examinations of technology in nursing work often failed to capture the multiple dimensions of this work nor did they recognise the complexity of day-to-day nursing work in acute care. There is a paucity of literature to inform how and what technology should be measured in relation to the quality of nursing care. Relevance to clinical practice: The outcomes inform useful research methods to comprehensively examine technology to enhance the quality of complex nursing work. K E Y W O R D S integrative review, methods, nursing, quality of care, technology S U PP O RTI N G I N FO R M ATI O N Additional supporting information may be found online in the Supporting Information section. How to cite this article: Redley B, Douglas T, Botti M. Methods used to examine technology in relation to the quality of nursing work in acute care: A systematic integrative review. J

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Methods used to examine technology in relation to the quality of nursing work in acute care: A systematic integrative review

Redley

Douglas

Botti

2020

Journal of Clinical Nursing

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“…9,15 Although there have been previous studies using RFID locators to create time-motion maps of various hospital staff, no study has used RFID to measure and analyze the workflow of both physicians and nurses simultaneously. [16][17][18] The purpose of our investigation was to utilize our hospital-wide RFID staff locator technology to accurately and quantitatively assess physician and nurse rounding habits. Understanding the current BACKGROUND: Bedside rounding involving both nurses and physicians has numerous benefits for patients and staff.…”

mentioning

confidence: 99%

How Much Time are Physicians and Nurses Spending Together at the Patient Bedside?

Sang

Tisdale

Nielsen

et al. 2019

Journal of Hospital Medicine

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BACKGROUND: Bedside rounding involving both nurses and physicians has numerous benefits for patients and staff. However, precise quantitative data on the current extent of physician–nurse (MD–RN) overlap at the patient bedside are lacking. OBJECTIVE: This study aimed to examine the frequency of nurse and physician overlap at the patient beside and what factors affect this frequency. DESIGN: This is a prospective, observational study of time-motion data generated from wearable radio frequency identification (RFID)-based locator technology. SETTING: Single-institution academic hospital. MEASUREMENTS: The length of physician rounds, frequency of rounds that include nurses simultaneously at the bedside, and length of MD–RN overlap were measured and analyzed by ward, day of week, and distance between patient room and nursing station. RESULTS: A total of 739 MD rounding events were captured over 90 consecutive days. Of these events, 267 took place in single-bed patient rooms. The frequency of MD–RN overlap was 30.0%, and there was no statistical difference between the three wards studied. Overall, the average length of all MD rounds was 7.31 ± 0.58 minutes, but rounding involving a bedside nurse lasted longer than rounds with MDs alone (9.56 vs 5.68 minutes, P < .05). There was no difference in either the length of rounds or the frequency of MD–RN overlap between weekdays and weekends. Finally, patient rooms located farther away from the nursing station had a lower likelihood of MD–RN overlap (Pearson’s r = –0.67, P < .05). CONCLUSION: RFID-based technology provides precise, automated, and high-throughput time-motion data to capture nurse and physician activity. At our institution, 30.0% of rounds involve a bedside nurse, highlighting a potential barrier to bedside interdisciplinary rounding.

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Can Real Time Location System Technology (RTLS) Provide Useful Estimates of Time Use by Nursing Personnel?

Jones

Schlegel

2013

Research in Nursing & Health

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Accurate, precise, unbiased, reliable, and cost-effective estimates of nursing time use are needed to insure safe staffing levels. Direct observation of nurses is costly, and conventional surrogate measures have limitations. To test the potential of electronic capture of time and motion through real time location systems (RTLS), a pilot study was conducted to assess efficacy (method agreement) of RTLS time use; inter-rater reliability of RTLS time-use estimates; and associated costs. Method agreement was high (mean absolute difference = 28 seconds); inter-rater reliability was high (ICC = 0.81–0.95; mean absolute difference = 2 seconds); and costs for obtaining RTLS time-use estimates on a single nursing unit exceeded $25,000. Continued experimentation with RTLS to obtain time-use estimates for nursing staff is warranted.

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Expanding Potential of Radiofrequency Nurse Call Systems to Measure Nursing Time in Patient Rooms

Abstract: Radiofrequency identification data technology was found to provide feasible and accurate means for capturing and evaluating nursing time spent in patient rooms. Depending on the outcomes per unit, leaders should work with staff to maximize patient care time.

Cited by 11 publications

References 20 publications

Methods used to examine technology in relation to the quality of nursing work in acute care: A systematic integrative review

Methods used to examine technology in relation to the quality of nursing work in acute care: A systematic integrative review

How Much Time are Physicians and Nurses Spending Together at the Patient Bedside?

Can Real Time Location System Technology (RTLS) Provide Useful Estimates of Time Use by Nursing Personnel?

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