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1.
Comput Inform Nurs ; 29(2 Suppl): TC21-8, 2011 Feb.
Article in English | MEDLINE | ID: mdl-21372641

ABSTRACT

Patient falls and fall-related injuries are serious problems in hospitals. The Fall TIPS application aims to prevent patient falls by translating routine nursing fall risk assessment into a decision support intervention that communicates fall risk status and creates a tailored evidence-based plan of care that is accessible to the care team, patients, and family members. In our design and implementation of the Fall TIPS toolkit, we used the Spiral Software Development Life Cycle model. Three output tools available to be generated from the toolkit are bed poster, plan of care, and patient education handout. A preliminary design of the application was based on initial requirements defined by project leaders and informed by focus groups with end users. Preliminary design partially simulated the paper version of the Morse Fall Scale currently used in hospitals involved in the research study. Strengths and weaknesses of the first prototype were identified by heuristic evaluation. Usability testing was performed at sites where research study is implemented. Suggestions mentioned by end users participating in usability studies were either directly incorporated into the toolkit and output tools, were slightly modified, or will be addressed during training. The next step is implementation of the fall prevention toolkit on the pilot testing units.

2.
J Adv Nurs ; 67(2): 438-49, 2011 Feb.
Article in English | MEDLINE | ID: mdl-21073506

ABSTRACT

AIM: This paper is a report of the development and testing of the Self-Efficacy for Preventing Falls Nurse and Assistant scales. BACKGROUND: Patient falls and fall-related injuries are traumatic ordeals for patients, family members and providers, and carry a toll for hospitals. Self-efficacy is an important factor in determining actions persons take and levels of performance they achieve. Performance of individual caregivers is linked to the overall performance of hospitals. Scales to assess nurses and certified nursing assistants' self-efficacy to prevent patients from falling would allow for targeting resources to increase SE, resulting in improved individual performance and ultimately decreased numbers of patient falls. METHOD: Four phases of instrument development were carried out to (1) generate individual items from eight focus groups (four each nurse and assistant conducted in October 2007), (2) develop prototype scales, (3) determine content validity during a second series of four nurse and assistant focus groups (January 2008) and (4) conduct item analysis, paired t-tests, Student's t-tests and internal consistency reliability to refine and confirm the scales. Data were collected during February-December, 2008. RESULTS: The 11-item Self-Efficacy for Preventing Falls Nurse had an alpha of 0·89 with all items in the range criterion of 0·3-0·7 for item total correlation. The 8-item Self-Efficacy for Preventing Falls Assistant had an alpha of 0·74 and all items had item total correlations in the 0·3-0·7 range. CONCLUSIONS: The Self-Efficacy for Preventing Falls Nurse and Self-Efficacy for Preventing Falls Assistant scales demonstrated psychometric adequacy and are recommended to measure bedside staff's self-efficacy beliefs in preventing patient falls.


Subject(s)
Accidental Falls/prevention & control , Clinical Competence , Health Knowledge, Attitudes, Practice , Nursing Staff, Hospital/psychology , Self Efficacy , Surveys and Questionnaires/standards , Adult , Aged , Aged, 80 and over , Female , Focus Groups , Guideline Adherence/standards , Humans , Inpatients , Male , Middle Aged , Nursing Assistants/psychology , Nursing Methodology Research , Psychometrics , Reproducibility of Results , Risk Factors , Safety Management/methods
3.
Comput Inform Nurs ; 29(2): 93-100, 2011 Feb.
Article in English | MEDLINE | ID: mdl-20975543

ABSTRACT

Patient falls and fall-related injuries are serious problems in hospitals. The Fall TIPS application aims to prevent patient falls by translating routine nursing fall risk assessment into a decision support intervention that communicates fall risk status and creates a tailored evidence-based plan of care that is accessible to the care team, patients, and family members. In our design and implementation of the Fall TIPS toolkit, we used the Spiral Software Development Life Cycle model. Three output tools available to be generated from the toolkit are bed poster, plan of care, and patient education handout. A preliminary design of the application was based on initial requirements defined by project leaders and informed by focus groups with end users. Preliminary design partially simulated the paper version of the Morse Fall Scale currently used in hospitals involved in the research study. Strengths and weaknesses of the first prototype were identified by heuristic evaluation. Usability testing was performed at sites where research study is implemented. Suggestions mentioned by end users participating in usability studies were either directly incorporated into the toolkit and output tools, were slightly modified, or will be addressed during training. The next step is implementation of the fall prevention toolkit on the pilot testing units.


Subject(s)
Accidental Falls/prevention & control , Inpatients , Aged , Boston , Clinical Coding , Evidence-Based Practice , Family , Humans , Patient Care Team , Patient Education as Topic
4.
Stud Health Technol Inform ; 146: 801-2, 2009.
Article in English | MEDLINE | ID: mdl-19592989

ABSTRACT

Efforts to prevent falls in the hospital setting involves identifying patients at risk of falling and implementing fall prevention strategies. This poster describes the method and results of Performance Usability Testing on a web-based Fall Prevention Tool Kit (FPTK) developed as part of a research study, (Falls TIPS-Tailoring Interventions for Patient Safety) funded by The Robert Wood Johnson Foundation.


Subject(s)
Accidental Falls/prevention & control , Emergency Service, Hospital , Inpatients , Safety Management/organization & administration , Humans
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