Newly Licensed Registered Nurse Quality Improvement Survey 1, 2008 (ICPSR 36817)

Version Date: Nov 27, 2017

Principal Investigator(s):
Christine Kovner, Rory Meyers College of Nursing; Carol Brewer, University of Buffalo School of Nursing

Series:

https://doi.org/10.3886/ICPSR36817.v1

Version V1 ()

  • V3 [2021-01-27]
  • V2 [2018-02-02] unpublished
  • V1 [2017-11-27] unpublished

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Additional details may be in the Version History or Data Collection Notes fields of the study metadata.

2017-11-27 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.

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Summary

The purpose of this study was to describe what newly licensed registered nurses working in hospitals learned about quality improvement in their education programs and workplaces. The survey was administered to nurses working in a hospital who participated in the second wave of the Newly Licensed RN Survey: Newly Licensed Registered Nurse Survey, 2007 (ICPSR 36812). Quality improvement topics covered by the survey include patient-centered care; evidence-based practice; standardized practices for restrain and seclusion, infection control and pain management; use of information technology or strategies to reduce reliance on memory; participation in analyzing errors and designing system improvements; use of national patient safety resources, initiatives or regulations; and use of specific quality improvement models, specifically, FADE (Focus, Analyze, Develop, Execute, and Evaluate), PDSA (Plan, Do, Study, Act), Six-Sigma-DMAIC/DMADV (Define, Measure, Analyze, Improve, Control) or (Define, Measure, Analyze, Design, Verify), CQI (Continuous Quality Improvement) and TQM (Total Quality Management).

Citation

Kovner, Christine, and Brewer, Carol. Newly Licensed Registered Nurse Quality Improvement Survey 1, 2008. Ann Arbor, MI: [distributor], 2017-11-27. https://doi.org/10.3886/ICPSR36817.v1

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Funding

Robert Wood Johnson Foundation (51120)

Subject Terms

Geographic Coverage

Restrictions

As explained in the ICPSR Processing Notes in the codebook, ICPSR restricted the variable idnumber from general dissemination for reasons of confidentiality. Users interested in obtaining the restricted data must complete a restricted data use agreement with ICPSR, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research. Apply for access to the restricted data via the ICPSR restricted data contract portal which can be accessed on the study home page.

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Time Period(s)

2008

Date of Collection

2008

Data Collection Notes

  1. Additional information about the survey is available on the RN Work Project website.

  2. The record layout file and SPSS setup apply to both the public- and restricted-use plain text versions of the data file.

  3. The data files, setup, and record layout file are encoded with the UTF-8 character encoding standard.

  4. The data file can be merged with any of the Newly Licensed Registered Nurse Surveys (e.g. ICPSR 36773, 36812, 36813, 36814, 36815, or 36816) by matching on the common ID variables idnumber or ICPSR_RANDOM_ID.

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Sample

The survey was administered to a random sample of nurses who reported that they worked in a hospital in the second wave of the Newly Licensed RN Survey: Newly Licensed Registered Nurse Survey, 2007 (ICPSR 36812).

Time Method

Longitudinal

Universe

Registered nurses working in a hospital who obtained their first license to practice between September 1, 2004 and August 31, 2005.

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

Response Rates

72%

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Original Release Date

2017-11-27

Version History

2017-11-27 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.

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