AI Article Synopsis
- - The study aimed to see if the Hands-on Automated Nursing Data System (HANDS) could be consistently used across different hospital settings to improve data outcomes for registered nurses and care plans.
- - Conducted over 12 to 24 months at eight medical-surgical units across four hospitals, the study found that all registered nurses completed training, and compliance with care plan submissions was high (78-92%).
- - Results showed that it is possible to effectively standardize healthcare information collection, which could simplify practices and reduce confusion for healthcare workers, even though the study was limited to RNs in medical-surgical units.
Article Abstract
Objective: To test the hypothesis that Hands-on Automated Nursing Data System (HANDS) "big picture summary" can be implemented uniformly across diverse settings, and result in positive registered nurse (RN) and plan of care (POC) data outcomes across time.
Design: In a longitudinal, multisite, full test study, a representative convenience sample of eight medical-surgical units from four hospitals (one university, two large community, and one small community) in one Midwestern state implemented the HANDS intervention for 24 (four units) or 12 (four units) months.
Measurements: (a) RN outcomes-percentage completing training, satisfaction with standardized terminologies, perception of HANDS usefulness, POC submission compliance rate. (b) POC data outcomes-validity (rate of optional changes/episode); reliability of terms and ratings; and volume of standardized data generated.
Results: One hundred percent of the RNs who worked on the eight study units successfully completed the required standardized training; all units selected participated for the entire 12- or 24-month designated period; compliance rates for POC entry at every patient hand-off were 78-92%; reliability coefficients for use of the standardized terms and ratings were moderately strong; the pattern of optional POC changes per episode declined but remained reasonable across time; and the nurses generated a database of 40,747 episodes of care.
Limitations: Only RNs and medical-surgical units participated.
Conclusion: It is possible to effectively standardize the capture and visualization of useful "big picture" healthcare information across diverse settings. Findings offer a viable alternative to the current practice of introducing new health information layers that ultimately increase the complexity and inconsistency of information for frontline users.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674817 | PMC |
| http://dx.doi.org/10.1111/j.2047-3095.2012.01215.x | DOI Listing |
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