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Nursing2015 l 25 RESEARCH CORNER Hourly rounding and patient falls: What factors boost success? By Jennifer Goldsack, MChem, MA, MS; Meredith Bergey, MA, MPH, MSc; Susan Mascioli, MS, BSN, RN, CPHQ, NEA-BC; and Janet Cunningham, MHA, RN, NEA-BC, CENP Background: Falls are a persistent problem in all healthcare settings, with rates in acute care hospitals ranging from 1.3 to 8.9 falls per 1,000 inpatient days, about 30% resulting in serious injury. Methods: A 30-day prospective pilot study was conducted on two units with pre- and postimplementation evaluation to determine the impact of patient- centered proactive hourly rounding on patient falls as part of a Lean Six Sigma process improvement project. Nurse leaders and a staff champion from Unit 1 were involved in the process from the start of the imple- mentation period, while Unit 2 was introduced to the project for training shortly before the intervention began. Results: On Unit 1, where staff and leadership were engaged in the proj- ect from the outset, the 1-year base- line mean fall rate was 3.9 falls/1,000 patient days. The pilot period fall rate of 1.3 falls/1,000 patient days was significantly lower than the baseline fall rate (P = 0.006). On Unit 2, where there was no run-in period, the 1-year baseline mean fall rate was 2.6 falls/1,000 patient days, which fell, but not significantly, to 2.5 falls/1,000 patient days dur- ing the pilot period (P = 0.799). Discussion: Engaging an interdisci- plinary team, including leadership and unit champions, to complete a Lean Six Sigma process improvement project and implement a patient- centered proactive hourly rounding program was associated with a sig- nificant reduction in the fall rate in Unit 1. Implementation of the same program in Unit 2 without engaging leadership or front-line staff in pro- gram design did not impact its fall rate. Conclusions: The active involve- ment of leadership and front-line staff in program design and as unit cham- pions during the project run-in period was critical to significantly reducing inpatient fall rates and call bell use in an adult medical unit. Background Falls are a pervasive and persistent problem in all healthcare settings, with adverse clinical, social, and eco- nomic outcomes for patients, staff, and institutions involved. Reported rates range from 1.3 to 8.9 falls per 1,000 inpatient days in acute care hospitals,1 with an estimated 30% of these resulting in serious injury.2 The Centers for Medicare and Medicaid Services have transferred the financial burden of inpatient fall prevention to hospitals, and reporting of patient falls now impacts both ranking and pay- ment systems for hospitals and other healthcare organizations. Yet no clini- cal data support the value of evidence- based guidelines for preventing falls.3 The difficulty of preventing falls is exacerbated by shortened acute care lengths of stay, requiring that fall pre- vention interventions make an impact within short periods. To address these challenges, experts are recommending the use of multifacto- rial fall prevention programs.4,5 Suc- cessful programs typically include combinations of strong leadership and support, a culture of safety, front-line staff who are engaged in program design, a multidisciplinary team that guides the prevention pro- gram, staff education and training, and changes in pessimistic attitudes toward fall prevention.5,6 While preliminary evidence for multifactorial fall prevention pro- grams is promising, and consistent themes are associated with successful implementation, the impact of indi- vidual components remains unclear. It has not yet been established whether effectiveness is primarily a function of successful implementa- tion as opposed to characteristics of the components selected. This article describes the develop- ment, implementation, and evaluation of patient-centered hourly rounding, a program built around a conceptual framework we proposed in âPatient Falls: Searching for the Elusive âSilver Bulletââ (Nursing, July 2014).7 We hypothesized that this process would lend itself to successful and sustain- able implementation, reduced patient falls and, based on previous evidence, decreased call bell usage.8 Methods Study overview and setting. We conducted a 30-day prospective pilot study with pre- and postimple- mentation evaluation to determine the impact of patient-centered pro- active hourly rounding on patient falls. (See Glossary of research terms.) The intervention was implemented from September 23 to October 20, 2013, in two medical units at Chris- tiana Hospital, a 907-bed hospital in Newark, Del. It is part of Christiana Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
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l February www.Nursing2015.com RESEARCH CORNER Glossary of research terms âą Convenience sampling. Obtaining a sample by using the participants who are easiest to access; no attempt is made to ensure that the sample is truly represen- tative of the target population.16 âą Mann-Whitney test. A test that compares differences between two groups.16 It is used for comparing nonparametric, continuous data between two groups. âą N. Sample size.16 âą P. Statistic indicating significance. P < 0.05 means the results are significant; the smaller the number, the less likely that the results are due to chance.16 âą Robust regression analysis. This determines the relationship between an independent variable and a dependent variable when the data being examined contain outliers, or extreme values, that should not be excluded. âą Wilcoxon-signed rank test. A statistical test to compare the average values of the same measurements made under two different conditions. Used when the data are not normally distributed, this test compares median values. Care Health System, a not-for-profit, nonsectarian, independent academic medical center. The study units com- prised a 35-bed adult medical stroke unit (Unit 1) and a 40-bed inpatient hematology/oncology unit (Unit 2). Intervention design and imple- mentation. The patient-centered hourly rounding intervention was designed collaboratively by clinical nurses, a pharmacist, a physician, a physical therapist, a process improvement expert, a researcher, and nurse leaders. It was designed around three core principles: âą avoiding redundancy with existing strategies âą engaging patients as active partners in fall prevention where possible âą establishing a culture of account- ability to the strategy and staff buy-in. The design was a result of a 6-month Lean Six Sigma process improvement project based around the DMAIC principles: Define, Mea- sure, Analyze, Improve, and Control. Lean Six Sigma methodology con- sists of tools and techniques used to understand and standardize process variation and to identify and eliminate waste. The goal of a Lean Six Sigma project is to achieve a breakthrough in performance, resulting in a sustained improved outcomes. Nurse leaders and a staff cham- pion from Unit 1 were involved in the process from the start of the imple- mentation period, while Unit 2 was introduced to the project for training shortly before the intervention began. Patient-centered proactive hourly rounding. This was con- ducted every hour between 0600 and 2200 hours and every 2 hours between 2200 and 0600 hours. Rounding was performed by nurses and patient care technicians (PCTs) (Unit 1) or nurses only (Unit 2) based on differences in RN staffing between the two units. (See Defining a patient- centered proactive hourly round.) Program implementation. The two objectives that we defined as critical for communicating to staff during training were that: âą unit staff understand what patient- centered hourly rounding is, recognize its value, and receive the training and time required to complete patient- centered hourly rounding. âą patient-centered hourly rounding occurs, as defined, each hour from 0600 to 2200 and once every 2 hours from 2200 to 0600, for each patient on the units during the pilot period. Mandatory education and training for all staff on both units began 2 weeks before implementation of the pilot. Staff development specialists and nurse managers did the training at regularly scheduled staff meetings and value improvement team meet- ings in the 2 weeks preceding imple- mentation and supplemented it 2 weeks into the implementation period to refocus staff on the inter- ventionâs critical components. The unit-based value improvement team is charged with driving improve- ments in quality, safety, and patient- centered care. The slides developed as part of this process and used dur- ing training sessions are available from the corresponding author on request. Evaluation of rounding and time periods. For Unit 1, the baseline period was defined as January to December, 2012. The project period was defined as January to September, 2013, during which time the Lean Six Sigma Define, Measure, Analyze, and Improve phases of the DMAIC process were completed. This involved the multidisciplinary team, nurse leaders, and clinical nurses and champions from Unit 1. For Unit 2, the baseline period was defined as January to September, 2013. The pilot period for both units was the 30 days from September 23 to October 20, 2013. Rounding was performed by nurses and PCTs (Unit 1) or nurses only (Unit 2). Study outcomes. The fall rate both before and during the pilot was mea- sured as number of falls per 1,000 patient days. Compliance with the patient-centered proactive hourly rounding process was monitored using three different tools. First, the nurse manager on each unit randomly selected a patient flow sheet each day during the pilot and reviewed the recorded times of the rounding for the prior 24 hours. The average and median time between rounds was Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
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Nursing2015 l 27 calculated for each unit. Second, the nurse manager on each unit randomly selected 60 unique patient-centered proactive rounds on his or her unit to observe during the pilot. Last, two researchers selected one staff member from each shift on each unit during the pilot to survey about the last round he or she completed. Research- ers used convenience sampling, surveying the first staff member they encountered on the unit who was not engaged with a patient. Staff perceptions about the pilot, particularly the burden on nursing time, the efficacy of the strategy, and its potential as a sustainable, successful fall prevention measure were assessed using an anonymous survey adminis- tered 1 week after the pilot period ended. Staff were sent an eight-item survey by e-mail to complete using an anonymous web-based interface (Sur- veyMonkey), and were given 10 days to reply, with one reminder e-mail. Statistical analysis. The Mann- Whitney test was used to compare baseline fall rates with project period fall rates for Unit 1. The one-sample Wilcoxon-signed rank test was used to compare Unit 1âs pilot and baseline period fall rates, Unit 1âs project and pilot period fall rates, and Unit 2âs pilot and project period fall rates. The one-sample Wilcoxon-signed rank test was used to allow comparison between a single fall rate measure for both unitsâ pilot periods and the fall rates from the other study periods. Robust regression analysis was used to assess whether median intervals between rounds increased, which would indicate decreasing compliance with hourly rounding as prescribed. Robust regression analysis also was used to examine whether round com- pletion percentages and staff report of completion percentages increased. Similarly, this would indicate deterio- rating compliance with the program. P < 0.05 was considered statistically significant. All analyses were con- ducted using Stata v. 12 (Stata Corp., College Station, Tex.). Results Fall rate data. In Unit 1, the 1-year baseline mean fall rate was 3.9 falls/1,000 patient days, significantly above the National Database of Nurs- ing Quality Indicators benchmark. A marginally significant drop occurred during the project period to 2.5 falls/1,000 patient days (P = 0.059). The pilot period fall rate of 1.3 falls/1,000 patient days was signifi- cantly lower than the baseline fall rate (P = 0.006). The project and pilot period fall rates did not differ significantly (P = 0.202). In Unit 2, the 1-year baseline mean fall rate was 2.6 falls/1,000 patient days, which fell, but not significantly, to 2.5 falls/1,000 patient days during the pilot period (P = 0.799). Process compliance data. Fifty- six patient flow sheets were selected randomly for review during the pilot, 27 from Unit 1 and 29 from Unit 2. The times that rounding was recorded were then examined to determine if intervals between rounds increased during the pilot period for each unit. The overall time between rounds was very close to 1 hour for the period from 0600 to 2200 hours, as prescribed, but also close to 1 hour between 2200 and 0600 hours when rounds were required only every 2 hours. During the pilot, the mean time between rounds did not increase significantly on either Unit 1 (P = 0.133) or Unit 2 (P = 0.712). Besides the documentation review, 108 rounds were observed, with 88% of the prescribed steps being completed on average. Attention to patientsâ comfort needs (which occurred in 98% of rounds) and access to the call bell (which occurred in 97% of rounds) were the most-often performed tasks in the patient-centered round, but commu- nication of when the next round would occur took place in only 67% of rounds completed. For both units combined, the midnight shift showed the greatest compliance with an average extent of completion of 97% (N = 12). (See Observed compli- ance with patient-centered hourly rounding.) The extent to which each round was completed did not fall significantly over time for either Unit 1 (P = 0.704) or Unit 2 (P = 0.713). Researchers surveyed 108 staff members who reported completing an average of 87% of the requirements Defining a patient-centered proactive hourly round 1. Hello, Iâm your nurse_______________. Iâm here to do rounds. 2. Assess patientâs pain levels using appropriate assessment scale. If PCT is rounding, ask the patient if he or she is in pain, and contact nurse immediately. Provide pain medication as appropriate. 3. Offer toileting assistance (urinal, bedside commode, bathroom). 4. Assess the patientâs position, and reposition if necessary. 5. Put the call bell within reach, and have patient perform teach-back. 6. Put telephone, TV, bedside table, tissues, and personal items within patientâs reach. 7. Place trash can next to the bed, straighten up room, and put any trash in the can. 8. What else I can do for you before I leave? I have time. 9. I, or another member of the healthcare team, will be back in the room at <state time>. Until then, please do not get up without notifying us. Please use your call bell. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
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Nursing2015 l February www.Nursing2015.com Observed compliance with patient-centered hourly rounding* Breakdown by unit and shift Total Greet- ing Toilet- ing Pain Posi- tion Other com- fort needs Room envi- ron- ment Call bell âIs there anything else I can do for you?â Specified when coming back Number of obser- vations All 88% 77% 86% 91% 92% 98% 90% 97% 91% 67% 108 Shift Day 87% 71% 89% 91% 92% 98% 85% 100% 94% 60% 56 Evening 86% 80% 80% 90% 90% 97% 95% 95% 85% 70% 40 Midnight 97% 100% 91% 100% 100% 100% 100% 91% 100% 91% 12 Unit 1 90% 77% 96% 87% 96% 100% 96% 100% 90% 68% 54 Unit 2 86% 77% 75% 96% 88% 96% 85% 94% 92% 66% 54 *As defined. of each round. Staff reported asking patients if they could do anything else for them most frequently (occurred in 96% of completed rounds), but reported addressing positioning with patients in only 73% of the rounds in which this would have been appro- priate. (See Self-reported compliance with patient-centered hourly rounding.) The extent to which staff reported that each round was completed did not fall significantly over time for either Unit 1 (P = 0.827) or Unit 2 (P = 0.194). Staff survey data. Ninety-four percent of staff on Unit 1 (17/18) reported that they believed patient- centered hourly rounding had either a positive or strong positive impact on patient care overall, and 89% (16/18) believed that patient-centered hourly rounding is an effective fall prevention strategy. Thirty-nine percent of staff on Unit 1 (7/18) perceived their overall workload to have been reduced following the introduction of patient-centered hourly rounding, and 83% (15/18) reported a reduction in call bell use by patients. Eighty-nine percent of staff surveyed on Unit 1 (16/18) would recommend that other units adopt patient-centered hourly round- ing. (See Staff survey data.) By contrast, only 25% of staff on Unit 2 (5/20) reported that they believed patient-centered hourly rounding had a positive impact on patient care overall and only 50% (10/20) believed that patient-centered hourly rounding is an effective fall prevention strategy. No staff on Unit 2 perceived their overall workload to have been reduced following the introduction of patient-centered hourly rounding and only 10% (2/20) reported a reduction in call bell use by patients. Only 25% of staff surveyed on Unit 2 (5/20) would recommend that other units adopt patient-centered hourly rounding. Discussion We found that engaging an interdisci- plinary team, including leadership and unit champions, to complete a Lean Six Sigma process improvement proj- ect and implement a patient-centered proactive hourly rounding program was associated with a significant reduction in the fall rate. Implementa- tion of the same patient-centered proactive hourly rounding program in the absence of engaging leadership or front-line staff in program design did not impact the fall rate. This discrepancy cannot be accounted for as a function of suc- cessful implementation because both units showed excellent compliance with the process. Since this compli- ance did not decline during the pilot, our data suggest that patient- centered hourly rounding is likely a sustainable strategy. However, the success of the program is associated with staff perceptions of the inter- vention. On Unit 1, where leader- ship and front-line staff were actively involved in program design and unit champions were designated during the project run-in period, staff per- ception about the program and its impact on their own workload and patients was highly positive. On Unit 2, only a minority of staff were positive about the impact of the program. Our findings strongly endorse the inclusion of leadership support and engagement of front-line staff in suc- cessful fall prevention program design. As our data show, these fea- tures are not impacting process implementation. Rather, we believe, based on anecdotal evidence we observed during the pilots, that they may be impacting the patient cen- teredness of the rounds. This would be consistent with observations that systems that foster staff accountabil- ity may contribute to success in fall Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
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Nursing2015 l 29 prevention.9,10 The discrepancies in the staff survey data also suggest that staff buy-in to the fall prevention program and its goals may be limited in the absence of leadership support, engagement of front-line staff in pro- gram design, and a clinical nurse champion. Staff buy-in is a critical component of any process improve- ment project,11 and leadership including staff in the development process has been shown to nurture a sense of ownership of the outcome.12 On Unit 2, where hourly rounding did not impact the fall rate, staff were asked to recognize the value of patient-centered hourly rounding through one-way learning, where information passes from decision makers to those in practice roles. On Unit 1, where hourly rounding com- bined with a project run-in period did impact the fall rate, two-way learning occurred through staff engagement in program develop- ment. This learning is typically much deeper and acknowledges that staff can add to the knowledge base dur- ing program design. Much of the reduction in fall rate observed on Unit 1 occurred during the transition from the baseline period to the project run-in period. This was the time when leadership and staff were working closely together with the goals of reducing falls through establishing a culture of accountability for fall prevention and developing staff buy-in to the goals. While the significant reduction in fall rates was not observed until the cumulative stages of project develop- ment and program implementation had occurred, these data indicate that engaging an interdisciplinary team and including leadership and unit champions in fall prevention program development may be critical compo- nents of any fall prevention effort. The primary limitation of our study was the short pilot period of just 30 days. The consistency of the process data suggests that patient- centered hourly rounding is a sus- tainable intervention, but further investigation of the impact over a longer period is needed. Much of the literature about falls has only limited data, but based on the success of the pilot, we have the support of our institution to implement patient- centered hourly rounding for a lon- ger period. During this longer study, the issue of staff noncompliance, although low, must be addressed. The engagement of unit staff and leadership in program design on Unit 1 may actually have resulted in the effect on fall rates being observed prior to the start of the pilot. Incorporating hourly rounding into an already-established fall pre- vention program has been shown to strengthen the program and decrease fall rates.13 Hourly rounding also has been shown to reduce call bell usage; call-bell usage is associated with patient falls.8,14 However, evi- dence regarding hourly rounding as a primary strategy to reduce patient falls is inconclusive.15 Further investi- gation into whether hourly rounding is a robust stand-alone fall prevention strategy is required. Similarly, future studies should consider whether any fall prevention program that is suit- able for the patient population may be effective if implemented through a process characterized by leadership support that engages front-line staff in program design. Despite limitations, our findings provide compelling evidence that the implementation of a patient-centered hourly rounding program following specific design with leadership support and engagement of front- line staff is an effective fall preven- tion strategy. Staff buy-in and accountability should be fostered through the design and implementa- tion processes and two-way learning Self-reported compliance with patient-centered hourly rounding* By shift and by unit Total Greet- ing Toilet- ing Posi- tion Pain Com- fort needs Room envi- ron- ment Call bell "Is there anything else I can do for you?" Speci- fied when coming back Docu- menta- tion com- pleted Num- ber of surveys All 87% 95% 89% 73% 90% 90% 76% 93% 96% 76% 89% 165 Shift Day 88% 93% 88% 71% 91% 88% 84% 93% 97% 80% 80% 45 Evening 88% 100% 87% 75% 89% 90% 81% 92% 96% 73% 89% 65 Midnight 87% 90% 92% 72% 92% 90% 65% 96% 96% 76% 96% 55 Unit 1 89% 100% 90% 70% 87% 88% 82% 97% 97% 77% 93% 81 Unit 2 86% 90% 89% 76% 94% 91% 71% 90% 96% 75% 84% 84 *As defined. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
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Nursing2015 l February www.Nursing2015.com should be used in staff training where possible. Conclusion We found that a patient-centered proactive hourly rounding program, where leadership and front-line staff were actively involved in program design and unit champions were designated during the project run-in period, significantly reduced inpatient fall rates in an adult medi- cal unit and reduced call bell use. In the absence of leadership engage- ment, program development with front-line staff, and unit champions, patient-centered hourly rounding does not appear to be an effective fall prevention strategy. â REFERENCES 1. Oliver D, Healey F, Haines TP. Preventing falls and fall-related injuries in hospitals. Clin Geriatr Med. 2010;26(4):645-692. 2. Stevens JA. Falls among older adultsârisk factors and prevention strategies. J Safety Res. 2005; 36(4):409-411. 3. Clyburn TA, Heydemann JA. Fall prevention in the elderly: analysis and comprehensive review of methods used in the hospital and in the home. J Am Acad Orthop Surg. 2011;19(7):402-409. 4. Spoelstra SL, Given BA, Given CW. Fall preven- tion in hospitals: an integrative review. Clin Nurs Res. 2012;21(1):92-112. 5. Miake-Lye IM, Hempel S, Ganz DA, Shekelle PG. Inpatient fall prevention programs as a patient safety strategy: a systematic review. Ann Intern Med. 2013;158(5 Pt 2):390-396. 6. Hendrich A. How to try this: predicting patient falls. Using the Hendrich II Fall Risk Model in clinical practice. Am J Nurs. 2007;107(11):50-58. 7. Goldsack J, Cunningham J, Mascioli S. Patient falls: searching for the elusive âsilver bullet.â Nursing. 2014;44(7):61-62. 8. Olrich T, Kalman M, Nigolian C. Hourly round- ing: a replication study. Medsurg Nurs. 2012;21(1): 23-26, 36. 9. Barker A, Kamar J, Morton A, Berlowitz D. Bridg- ing the gap between research and practice: review of a targeted hospital inpatient fall prevention pro- gramme. Qual Saf Health Care. 2009;18(6):467-472. 10. Mitty E, Flores S. Fall prevention in assisted living: assessment and strategies. Geriatr Nurs. 2007;28(6):349-357. 11. How do you implement the fall prevention program in your organization?: Preventing Falls in Hospitals: A Toolkit for Improving Quality of Care. 2013. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/professionals/ systems/long-term-care/resources/injuries/fallpx- toolkit/fallpxtk4.html. 12. Silow-Carroll S, Edwards JN, Rodin D. Using electronic health records to improve quality and efïŹciency: the experiences of leading hospitals. Issue Brief (Commonw Fund). 2012;17:1-40. 13. Dacenko-Grawe L, Holm K. Evidence-based practice: a falls prevention program that continues to work. Medsurg Nurs. 2008;17(4):223-235. 14. Meade CM, Bursell AL, Ketelsen L. Effects of nursing rounds: on patientsâ call light use, satisfac- tion, and safety. Am J Nurs. 2006;106(9):58-70. 15. Sherrod BC, Brown R, Vroom J, Sullivan DT. Round with purpose. Nurs Manage. 2012;43(1):32-38. 16. Dumont C, Tagnesi K. Nursing image: what the research tells us about patientsâ opinions. Nursing. 2011;41(1):9-11. At Christiana Care Health System in Wilmington, Del., Jennifer Goldsack is a research associate at the Value Institute, Susan Mascioli is the director of nursing quality and safety, and Janet Cunningham is vice president of professional excellence and associate CNO. Meredith Bergey is a research associate at the Value Institute of Christiana Care Health System. The authors acknowledge the work of the LeSS Falls Team: Courtney Crannell, RN; Christine DeRitter, RN; Amy Harty, PCT; Constance Jordan, RN; Kristi Lester, RN; Denise Lyons, RN; Barbara Marandola, RN; Carys Price, PT; James Ruther, MD; Eva Smith, RN; Scott Shoop, PharmD; Amy Spencer, RN; Janice Sullivan, MPT; and Teresa Zack, RN. The authors also acknowledge Natalie Dyke for her diligent collection of compliance data from staff on the study units and Lisa Maturo for her excellent work entering and formatting all of the process data. Research Corner is coordinated by Cheryl Dumont, PhD, RN, CRNI, director of nursing research and the vascular access team at Winchester Medical Center in Winchester, Va., and a member of the Nursing2015 editorial board. The content in this article has received appropriate institutional review board and/or administrative approval for publication. The authors have disclosed that they have no ïŹnancial relationships related to this article. DOI-10.1097/01.NURSE.0000459798.79840.95 Staff survey data* Unit 1 (N=18) Unit 2 (N=20) Impact of patient-centered hourly rounding on patient care overall Strong negative impact Negative impact No impact Positive impact Strong positive impact 0 (0%) 0 (0%) 1 (6%) 10 (56%) 7 (39%) 0 (0%) 0 (0%) 15 (75%) 5 (25%) 0 (0%) Patient-centered hourly rounding as an effective fall prevention strategy Highly ineffective Ineffective No impact Effective Highly effective 0 (0%) 0 (0%) 2 (11%) 8 (44%) 8 (44%) 1 (5%) 1 (5%) 8 (40%) 9 (45%) 1 (5%) Impact of patient-centered hourly rounding on overall workload Significant increase in workload Some increase in workload No impact on workload Some decrease in workload Significant decrease in workload 0 (0%) 3 (17%) 8 (44%) 7 (39%) 0 (0%) 0 (0%) 9 (45%) 11 (55%) 0 (0%) 0 (0%) Impact of patient-centered hourly rounding on call bell use Significant increase in call bell use Some increase in call bell use No impact on call bell use Some decrease in call bell use Significant decrease in call bell use 0 (0%) 0 (0%) 3 (17%) 9 (50%) 6 (33%) 0 (0%) 1 (5%) 17 (85%) 2 (10%) 0 (0%) Recommendation of patient-centered hourly rounding to other units Recommendation not to adopt Recommendation to adopt No recommendation 1 (6%) 16 (89%) 1 (6%) 4 (20%) 5 (25%) 11 (55%) *Some percentages do not add up to 100% due to rounding. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
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