Machine vision -based fall prevention and detection system in a neurological ward : Effectiveness and personnel's attitudes
Hiekkanen, Sofia (2021)
Hiekkanen, Sofia
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202104014140
https://urn.fi/URN:NBN:fi:amk-202104014140
Tiivistelmä
The objective of this thesis was to study the effectiveness of, and the personnel’s attitudes toward, Verso Vision, which is a machine vision -based fall prevention and detection system. The system has recently been implemented to use in an inpatient ward, cowering a total of 12 patient beds, in a University Hospital. The system gives an alarm if it detects a fallen person or if it detects predefined movement by a patient it has been activated to.
The research was twofold. Firstly, patient safety incident reports (HaiPro) regarding fall events were examined retrospectively. Two 9-month time periods were selected, one before and one after the implementation of the system. This was to gain insight on the statistics of the fall events and the possible identifiable changes in the fall events’ nature. Secondly, a survey was conducted to the personnel of the inpatient ward to find out about their attitudes toward the system, their perceived proficiency to use it, and the system’s technical functionality according to them. The research was a mixed method study, with emphasis on qualitative methods. The data was mainly analyzed using deductive and inductive content analysis and frequency distribution.
There were less HaiPro reports on fall events after the implementation of Verso Vision than before. The reports showed some decrease in fall events in patient rooms after the implementation compared to before the implementation. After the implementation there were more fall events that caused an injury than before the implementation. The survey indicated that the personnel felt that Verso Vision enhances patient safety and that it is relatively easy to use, even though about half felt that they had not received enough training on the system. The personnel also felt that the system did not work technically well and that it gave unnecessary alarms or did not give alarms when it was supposed to. The absence of alarms in some cases became also evident from the HaiPro reports.
This thesis gives insight on a new intervention to prevent and detect fall events in hospitals. It can provide help in assessing whether the system’s installation and use is justified to new units. It also gives insight on how to support the personnel in the system’s use
The research was twofold. Firstly, patient safety incident reports (HaiPro) regarding fall events were examined retrospectively. Two 9-month time periods were selected, one before and one after the implementation of the system. This was to gain insight on the statistics of the fall events and the possible identifiable changes in the fall events’ nature. Secondly, a survey was conducted to the personnel of the inpatient ward to find out about their attitudes toward the system, their perceived proficiency to use it, and the system’s technical functionality according to them. The research was a mixed method study, with emphasis on qualitative methods. The data was mainly analyzed using deductive and inductive content analysis and frequency distribution.
There were less HaiPro reports on fall events after the implementation of Verso Vision than before. The reports showed some decrease in fall events in patient rooms after the implementation compared to before the implementation. After the implementation there were more fall events that caused an injury than before the implementation. The survey indicated that the personnel felt that Verso Vision enhances patient safety and that it is relatively easy to use, even though about half felt that they had not received enough training on the system. The personnel also felt that the system did not work technically well and that it gave unnecessary alarms or did not give alarms when it was supposed to. The absence of alarms in some cases became also evident from the HaiPro reports.
This thesis gives insight on a new intervention to prevent and detect fall events in hospitals. It can provide help in assessing whether the system’s installation and use is justified to new units. It also gives insight on how to support the personnel in the system’s use