Using a Delphi Method to Identify Human Factors Contributing to Nursing Errors
PURPOSE The purpose of this study was to identify human factors associated with nursing errors. DESIGN Using a Delphi technique, this study used feedback from a panel of nurse experts (n = 25) on an initial qualitative survey questionnaire followed by summarizing the results with feedback and confir...
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Veröffentlicht in: | Nursing forum (Hillsdale) 2017-07, Vol.52 (3), p.173-179 |
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creator | Roth, Cheryl Brewer, Melanie Wieck, K. Lynn |
description | PURPOSE
The purpose of this study was to identify human factors associated with nursing errors.
DESIGN
Using a Delphi technique, this study used feedback from a panel of nurse experts (n = 25) on an initial qualitative survey questionnaire followed by summarizing the results with feedback and confirmation.
METHODS
Synthesized factors regarding causes of errors were incorporated into a quantitative Likert‐type scale, and the original expert panel participants were queried a second time to validate responses.
FINDINGS
The list identified 24 items as most common causes of nursing errors, including swamping and errors made by others that nurses are expected to recognize and fix. The responses provided a consensus top 10 errors list based on means with heavy workload and fatigue at the top of the list.
CONCLUSIONS
The use of the Delphi survey established consensus and developed a platform upon which future study of nursing errors can evolve as a link to future solutions. This list of human factors in nursing errors should serve to stimulate dialogue among nurses about how to prevent errors and improve outcomes.
CLINICAL RELEVANCE
Human and system failures have been the subject of an abundance of research, yet nursing errors continue to occur. |
doi_str_mv | 10.1111/nuf.12178 |
format | Article |
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The purpose of this study was to identify human factors associated with nursing errors.
DESIGN
Using a Delphi technique, this study used feedback from a panel of nurse experts (n = 25) on an initial qualitative survey questionnaire followed by summarizing the results with feedback and confirmation.
METHODS
Synthesized factors regarding causes of errors were incorporated into a quantitative Likert‐type scale, and the original expert panel participants were queried a second time to validate responses.
FINDINGS
The list identified 24 items as most common causes of nursing errors, including swamping and errors made by others that nurses are expected to recognize and fix. The responses provided a consensus top 10 errors list based on means with heavy workload and fatigue at the top of the list.
CONCLUSIONS
The use of the Delphi survey established consensus and developed a platform upon which future study of nursing errors can evolve as a link to future solutions. This list of human factors in nursing errors should serve to stimulate dialogue among nurses about how to prevent errors and improve outcomes.
CLINICAL RELEVANCE
Human and system failures have been the subject of an abundance of research, yet nursing errors continue to occur.</description><identifier>ISSN: 0029-6473</identifier><identifier>EISSN: 1744-6198</identifier><identifier>DOI: 10.1111/nuf.12178</identifier><identifier>PMID: 27434130</identifier><language>eng</language><publisher>United States: Hindawi Limited</publisher><subject>Attitude of Health Personnel ; Clinical Nursing Research - methods ; Delphi method ; Delphi survey ; Delphi Technique ; Fatigue ; Feedback ; human factors ; Human factors research ; Humans ; Medical errors ; Medical Errors - nursing ; Medical Errors - prevention & control ; Nurses - psychology ; Nursing ; nursing errors ; Occupational health ; Polls & surveys ; Qualitative research ; Surveys and Questionnaires ; swamping ; Workloads</subject><ispartof>Nursing forum (Hillsdale), 2017-07, Vol.52 (3), p.173-179</ispartof><rights>2016 Wiley Periodicals, Inc.</rights><rights>Copyright © 2017 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4208-5ea70f8a1d581451306e13f201d70d187f86da1a6903ef0053293d7c1a6a61bb3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fnuf.12178$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fnuf.12178$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,30976,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27434130$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roth, Cheryl</creatorcontrib><creatorcontrib>Brewer, Melanie</creatorcontrib><creatorcontrib>Wieck, K. Lynn</creatorcontrib><title>Using a Delphi Method to Identify Human Factors Contributing to Nursing Errors</title><title>Nursing forum (Hillsdale)</title><addtitle>Nurs Forum</addtitle><description>PURPOSE
The purpose of this study was to identify human factors associated with nursing errors.
DESIGN
Using a Delphi technique, this study used feedback from a panel of nurse experts (n = 25) on an initial qualitative survey questionnaire followed by summarizing the results with feedback and confirmation.
METHODS
Synthesized factors regarding causes of errors were incorporated into a quantitative Likert‐type scale, and the original expert panel participants were queried a second time to validate responses.
FINDINGS
The list identified 24 items as most common causes of nursing errors, including swamping and errors made by others that nurses are expected to recognize and fix. The responses provided a consensus top 10 errors list based on means with heavy workload and fatigue at the top of the list.
CONCLUSIONS
The use of the Delphi survey established consensus and developed a platform upon which future study of nursing errors can evolve as a link to future solutions. This list of human factors in nursing errors should serve to stimulate dialogue among nurses about how to prevent errors and improve outcomes.
CLINICAL RELEVANCE
Human and system failures have been the subject of an abundance of research, yet nursing errors continue to occur.</description><subject>Attitude of Health Personnel</subject><subject>Clinical Nursing Research - methods</subject><subject>Delphi method</subject><subject>Delphi survey</subject><subject>Delphi Technique</subject><subject>Fatigue</subject><subject>Feedback</subject><subject>human factors</subject><subject>Human factors research</subject><subject>Humans</subject><subject>Medical errors</subject><subject>Medical Errors - nursing</subject><subject>Medical Errors - prevention & control</subject><subject>Nurses - psychology</subject><subject>Nursing</subject><subject>nursing errors</subject><subject>Occupational health</subject><subject>Polls & surveys</subject><subject>Qualitative research</subject><subject>Surveys and Questionnaires</subject><subject>swamping</subject><subject>Workloads</subject><issn>0029-6473</issn><issn>1744-6198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNpdkU1PwzAMhiMEYmNw4A-gSFy4dIubNh9HNDY2aYwLO0dpk7JOXTvSRmj_nuwDDvhiy378yvKL0D2QIYQY1b4YQgxcXKA-8CSJGEhxifqExDJiCac9dNO2GxKCcnGNejFPaAKU9NFy1Zb1J9b4xVa7dYnfbLduDO4aPDe27spij2d-q2s81XnXuBaPm7pzZea7w1rAlt4dFSbOhfEtuip01dq7cx6g1XTyMZ5Fi_fX-fh5EeVJTESUWs1JITSYVECShkuYBVrEBAwnBgQvBDMaNJOE2oKQlMaSGp6HjmaQZXSAnk66O9d8edt2alu2ua0qXdvGtwpEzHjMJJUBffyHbhrv6nCdAhkekUrJIFAPZ8pnW2vUzpVb7fbq91MBGJ2A77Ky-785EHWwQAUL1NECtVxNjwX9ARBZdgY</recordid><startdate>201707</startdate><enddate>201707</enddate><creator>Roth, Cheryl</creator><creator>Brewer, Melanie</creator><creator>Wieck, K. Lynn</creator><general>Hindawi Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>4T-</scope><scope>7QJ</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201707</creationdate><title>Using a Delphi Method to Identify Human Factors Contributing to Nursing Errors</title><author>Roth, Cheryl ; Brewer, Melanie ; Wieck, K. Lynn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4208-5ea70f8a1d581451306e13f201d70d187f86da1a6903ef0053293d7c1a6a61bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Attitude of Health Personnel</topic><topic>Clinical Nursing Research - methods</topic><topic>Delphi method</topic><topic>Delphi survey</topic><topic>Delphi Technique</topic><topic>Fatigue</topic><topic>Feedback</topic><topic>human factors</topic><topic>Human factors research</topic><topic>Humans</topic><topic>Medical errors</topic><topic>Medical Errors - nursing</topic><topic>Medical Errors - prevention & control</topic><topic>Nurses - psychology</topic><topic>Nursing</topic><topic>nursing errors</topic><topic>Occupational health</topic><topic>Polls & surveys</topic><topic>Qualitative research</topic><topic>Surveys and Questionnaires</topic><topic>swamping</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roth, Cheryl</creatorcontrib><creatorcontrib>Brewer, Melanie</creatorcontrib><creatorcontrib>Wieck, K. Lynn</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Docstoc</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Nursing forum (Hillsdale)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roth, Cheryl</au><au>Brewer, Melanie</au><au>Wieck, K. Lynn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using a Delphi Method to Identify Human Factors Contributing to Nursing Errors</atitle><jtitle>Nursing forum (Hillsdale)</jtitle><addtitle>Nurs Forum</addtitle><date>2017-07</date><risdate>2017</risdate><volume>52</volume><issue>3</issue><spage>173</spage><epage>179</epage><pages>173-179</pages><issn>0029-6473</issn><eissn>1744-6198</eissn><abstract>PURPOSE
The purpose of this study was to identify human factors associated with nursing errors.
DESIGN
Using a Delphi technique, this study used feedback from a panel of nurse experts (n = 25) on an initial qualitative survey questionnaire followed by summarizing the results with feedback and confirmation.
METHODS
Synthesized factors regarding causes of errors were incorporated into a quantitative Likert‐type scale, and the original expert panel participants were queried a second time to validate responses.
FINDINGS
The list identified 24 items as most common causes of nursing errors, including swamping and errors made by others that nurses are expected to recognize and fix. The responses provided a consensus top 10 errors list based on means with heavy workload and fatigue at the top of the list.
CONCLUSIONS
The use of the Delphi survey established consensus and developed a platform upon which future study of nursing errors can evolve as a link to future solutions. This list of human factors in nursing errors should serve to stimulate dialogue among nurses about how to prevent errors and improve outcomes.
CLINICAL RELEVANCE
Human and system failures have been the subject of an abundance of research, yet nursing errors continue to occur.</abstract><cop>United States</cop><pub>Hindawi Limited</pub><pmid>27434130</pmid><doi>10.1111/nuf.12178</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Wiley Online Library Journals Frontfile Complete |
subjects | Attitude of Health Personnel Clinical Nursing Research - methods Delphi method Delphi survey Delphi Technique Fatigue Feedback human factors Human factors research Humans Medical errors Medical Errors - nursing Medical Errors - prevention & control Nurses - psychology Nursing nursing errors Occupational health Polls & surveys Qualitative research Surveys and Questionnaires swamping Workloads |
title | Using a Delphi Method to Identify Human Factors Contributing to Nursing Errors |
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