Skip to main content
. 2016 Jan 11;3(1):e1. doi: 10.2196/humanfactors.5098

Table 3.

Number and percentage of nurses who agreed or strongly agreed on the statements between the preproject and postproject periods (n=24).

Item Statementa Preproject,
n (%)
Postproject,
n (%)
% changeb
1 Nuisance alarms occur frequently 24 (100) 18 (75) -25.0
2 Nuisance alarms disrupt patient care 23 (96) 23 (96) 0
3 Nuisance alarms reduce trust in alarms and cause caregivers to inappropriately turn alarms off at times other than setup or procedural events 21 (88) 22 (92) 4.8
4 When a number of devices are used with a patient, it can be confusing to determine which device is in an alarm condition 21 (88) 19 (79) -9.5
5 Smart alarms (eg, where multiple parameters, rate of change of parameters, and signal quality are automatically assessed in their entirety) would be effective to use for improving clinical response to important patient alarms 20 (83) 17 (71) -15.0
6 Central alarm management staff responsible for receiving alarm messages and alerting appropriate staff is helpful 19 (79) 18 (75) -5.3
7 Smart alarms (eg, where multiple parameters, rate of change of parameters, and signal quality are automatically assessed in their entirety) would be effective to use for reducing false alarms 19 (79) 16 (67) -15.8
8c Unit layout does interfere with alarm recognition and management 18 (75) 18 (75) 0
9 Alarm integration and communication systems via pagers, cell phones, and other wireless devices are useful for improving alarms management and response 15 (63) 17 (71) 13.3
10c Nearly all alarms are actionable (requiring the nurse to respond and take an action) 14 (58) 14 (58) 0
11 Alarm sounds and/or visual displays of the current monitoring systems and devices should clearly differentiate the priority of alarm 13 (54) 14 (58) 7.7
12 Properly setting alarm parameters and alerts is overly complex in existing devices 13 (54) 13 (54) 0
13 Clinical staff is sensitive to alarms and responds quickly 13 (54) 15 (63) 15.4
14c When a lethal alarm sounds, it is clearly and quickly recognized and immediate action is taken to address the alarm 12 (50) 14 (58) 16.7
15 Environmental background noise has interfered with alarm recognition 12 (50) 15 (63) 25.0
16 Alarm sounds and/or visual displays should be distinct based on the parameter or source (eg, device) 12 (50) 16 (67) 33.3
17d There is a requirement in my unit to document that the alarms are set and are appropriate for each patient 11 (46) 18 (75) 63.6
18d The alarms used on my unit are adequate to alert staff of potential or actual changes in a patient’s condition 10 (42) 9 (38) -10.0
19 There have been frequent instances where alarms could not be heard and were missed 8 (33) 8 (33) 0
20d The medical devices used on my unit all have distinct outputs (ie, sounds, repetition rates, visual displays) that allow users to identify the source of the alarm 8 (33) 15 (63) 87.5
21d Clinical policies and procedures regarding alarm management are effectively used in my unit 6 (25) 11 (46) 83.3
22 Newer monitoring systems (eg, < 3 years old) have solved most of the previous problems we experienced with clinical alarms 1 (4) 6 (25) 500

aEdited and used with permission from the Healthcare Technology Foundation (HTF) 2011.

bPercent change = ((y2 - y1) / y1) × 100.

cThese are the new statements that we added to our survey. They do not exist in the original HTF survey.

dThese are the statements where the “floor/area of the hospital” or “institution” in the HTF clinical alarms survey were replaced with “unit” in our survey.