Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and valida...
Ausführliche Beschreibung
Autor*in: |
Griens, A.M.G.F. - MSc [verfasserIn] Goossen, W.T.F. - PhD RN [verfasserIn] Van der Kloot, W.A. - PhD [verfasserIn] |
---|
Format: |
E-Artikel |
---|
Erschienen: |
Oxford UK: Blackwell Science Ltd ; 2001 |
---|
Schlagwörter: |
---|
Umfang: |
Online-Ressource |
---|
Reproduktion: |
2008 ; Blackwell Publishing Journal Backfiles 1879-2005 |
---|---|
Übergeordnetes Werk: |
In: Journal of advanced nursing - Oxford [u.a.] : Wiley-Blackwell, 1976, 36(2001), 1, Seite 0 |
Übergeordnetes Werk: |
volume:36 ; year:2001 ; number:1 ; pages:0 |
Links: |
---|
DOI / URN: |
10.1046/j.1365-2648.2001.01946.x |
---|
Katalog-ID: |
NLEJ243412622 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLEJ243412622 | ||
003 | DE-627 | ||
005 | 20210707180744.0 | ||
007 | cr uuu---uuuuu | ||
008 | 120427s2001 xx |||||o 00| ||und c | ||
024 | 7 | |a 10.1046/j.1365-2648.2001.01946.x |2 doi | |
035 | |a (DE-627)NLEJ243412622 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
100 | 1 | |a Griens, A.M.G.F. |c MSc |e verfasserin |4 aut | |
245 | 1 | 0 | |a Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques |
264 | 1 | |a Oxford UK |b Blackwell Science Ltd |c 2001 | |
300 | |a Online-Ressource | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. | ||
533 | |d 2008 |f Blackwell Publishing Journal Backfiles 1879-2005 |7 |2008|||||||||| | ||
650 | 4 | |a nursing minimum data set | |
700 | 1 | |a Goossen, W.T.F. |c PhD RN |e verfasserin |4 aut | |
700 | 1 | |a Van der Kloot, W.A. |c PhD |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Journal of advanced nursing |d Oxford [u.a.] : Wiley-Blackwell, 1976 |g 36(2001), 1, Seite 0 |h Online-Ressource |w (DE-627)NLEJ243927088 |w (DE-600)2009963-0 |x 1365-2648 |7 nnns |
773 | 1 | 8 | |g volume:36 |g year:2001 |g number:1 |g pages:0 |
856 | 4 | 0 | |u http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x |q text/html |x Verlag |z Deutschlandweit zugänglich |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a ZDB-1-DJB | ||
912 | |a GBV_NL_ARTICLE | ||
951 | |a AR | ||
952 | |d 36 |j 2001 |e 1 |h 0 |
author_variant |
a g ag w g wg d k w v dkw dkwv |
---|---|
matchkey_str |
article:13652648:2001----::xlrnteusnmnmmaaefrhntelnssnmliies |
hierarchy_sort_str |
2001 |
publishDate |
2001 |
allfields |
10.1046/j.1365-2648.2001.01946.x doi (DE-627)NLEJ243412622 DE-627 ger DE-627 rakwb Griens, A.M.G.F. MSc verfasserin aut Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Oxford UK Blackwell Science Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. 2008 Blackwell Publishing Journal Backfiles 1879-2005 |2008|||||||||| nursing minimum data set Goossen, W.T.F. PhD RN verfasserin aut Van der Kloot, W.A. PhD verfasserin aut In Journal of advanced nursing Oxford [u.a.] : Wiley-Blackwell, 1976 36(2001), 1, Seite 0 Online-Ressource (DE-627)NLEJ243927088 (DE-600)2009963-0 1365-2648 nnns volume:36 year:2001 number:1 pages:0 http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 2001 1 0 |
spelling |
10.1046/j.1365-2648.2001.01946.x doi (DE-627)NLEJ243412622 DE-627 ger DE-627 rakwb Griens, A.M.G.F. MSc verfasserin aut Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Oxford UK Blackwell Science Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. 2008 Blackwell Publishing Journal Backfiles 1879-2005 |2008|||||||||| nursing minimum data set Goossen, W.T.F. PhD RN verfasserin aut Van der Kloot, W.A. PhD verfasserin aut In Journal of advanced nursing Oxford [u.a.] : Wiley-Blackwell, 1976 36(2001), 1, Seite 0 Online-Ressource (DE-627)NLEJ243927088 (DE-600)2009963-0 1365-2648 nnns volume:36 year:2001 number:1 pages:0 http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 2001 1 0 |
allfields_unstemmed |
10.1046/j.1365-2648.2001.01946.x doi (DE-627)NLEJ243412622 DE-627 ger DE-627 rakwb Griens, A.M.G.F. MSc verfasserin aut Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Oxford UK Blackwell Science Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. 2008 Blackwell Publishing Journal Backfiles 1879-2005 |2008|||||||||| nursing minimum data set Goossen, W.T.F. PhD RN verfasserin aut Van der Kloot, W.A. PhD verfasserin aut In Journal of advanced nursing Oxford [u.a.] : Wiley-Blackwell, 1976 36(2001), 1, Seite 0 Online-Ressource (DE-627)NLEJ243927088 (DE-600)2009963-0 1365-2648 nnns volume:36 year:2001 number:1 pages:0 http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 2001 1 0 |
allfieldsGer |
10.1046/j.1365-2648.2001.01946.x doi (DE-627)NLEJ243412622 DE-627 ger DE-627 rakwb Griens, A.M.G.F. MSc verfasserin aut Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Oxford UK Blackwell Science Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. 2008 Blackwell Publishing Journal Backfiles 1879-2005 |2008|||||||||| nursing minimum data set Goossen, W.T.F. PhD RN verfasserin aut Van der Kloot, W.A. PhD verfasserin aut In Journal of advanced nursing Oxford [u.a.] : Wiley-Blackwell, 1976 36(2001), 1, Seite 0 Online-Ressource (DE-627)NLEJ243927088 (DE-600)2009963-0 1365-2648 nnns volume:36 year:2001 number:1 pages:0 http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 2001 1 0 |
allfieldsSound |
10.1046/j.1365-2648.2001.01946.x doi (DE-627)NLEJ243412622 DE-627 ger DE-627 rakwb Griens, A.M.G.F. MSc verfasserin aut Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Oxford UK Blackwell Science Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. 2008 Blackwell Publishing Journal Backfiles 1879-2005 |2008|||||||||| nursing minimum data set Goossen, W.T.F. PhD RN verfasserin aut Van der Kloot, W.A. PhD verfasserin aut In Journal of advanced nursing Oxford [u.a.] : Wiley-Blackwell, 1976 36(2001), 1, Seite 0 Online-Ressource (DE-627)NLEJ243927088 (DE-600)2009963-0 1365-2648 nnns volume:36 year:2001 number:1 pages:0 http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 2001 1 0 |
source |
In Journal of advanced nursing 36(2001), 1, Seite 0 volume:36 year:2001 number:1 pages:0 |
sourceStr |
In Journal of advanced nursing 36(2001), 1, Seite 0 volume:36 year:2001 number:1 pages:0 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
nursing minimum data set |
isfreeaccess_bool |
false |
container_title |
Journal of advanced nursing |
authorswithroles_txt_mv |
Griens, A.M.G.F. @@aut@@ Goossen, W.T.F. @@aut@@ Van der Kloot, W.A. @@aut@@ |
publishDateDaySort_date |
2001-01-01T00:00:00Z |
hierarchy_top_id |
NLEJ243927088 |
id |
NLEJ243412622 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ243412622</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707180744.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120427s2001 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1046/j.1365-2648.2001.01946.x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ243412622</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Griens, A.M.G.F.</subfield><subfield code="c">MSc</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford UK</subfield><subfield code="b">Blackwell Science Ltd</subfield><subfield code="c">2001</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="d">2008</subfield><subfield code="f">Blackwell Publishing Journal Backfiles 1879-2005</subfield><subfield code="7">|2008||||||||||</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">nursing minimum data set</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Goossen, W.T.F.</subfield><subfield code="c">PhD RN</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Van der Kloot, W.A.</subfield><subfield code="c">PhD</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Journal of advanced nursing</subfield><subfield code="d">Oxford [u.a.] : Wiley-Blackwell, 1976</subfield><subfield code="g">36(2001), 1, Seite 0</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ243927088</subfield><subfield code="w">(DE-600)2009963-0</subfield><subfield code="x">1365-2648</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:36</subfield><subfield code="g">year:2001</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x</subfield><subfield code="q">text/html</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DJB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">36</subfield><subfield code="j">2001</subfield><subfield code="e">1</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
series2 |
Blackwell Publishing Journal Backfiles 1879-2005 |
author |
Griens, A.M.G.F. MSc |
spellingShingle |
Griens, A.M.G.F. MSc misc nursing minimum data set Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques |
authorStr |
Griens, A.M.G.F. MSc |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)NLEJ243927088 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
NL |
publishPlace |
Oxford UK |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1365-2648 |
topic_title |
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques nursing minimum data set |
publisher |
Blackwell Science Ltd |
publisherStr |
Blackwell Science Ltd |
topic |
misc nursing minimum data set |
topic_unstemmed |
misc nursing minimum data set |
topic_browse |
misc nursing minimum data set |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
hierarchy_parent_title |
Journal of advanced nursing |
hierarchy_parent_id |
NLEJ243927088 |
hierarchy_top_title |
Journal of advanced nursing |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)NLEJ243927088 (DE-600)2009963-0 |
title |
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques |
ctrlnum |
(DE-627)NLEJ243412622 |
title_full |
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques |
author_sort |
Griens, A.M.G.F. MSc |
journal |
Journal of advanced nursing |
journalStr |
Journal of advanced nursing |
isOA_bool |
false |
recordtype |
marc |
publishDateSort |
2001 |
contenttype_str_mv |
zzz |
container_start_page |
0 |
author_browse |
Griens, A.M.G.F. Goossen, W.T.F. Van der Kloot, W.A. |
container_volume |
36 |
physical |
Online-Ressource |
format_se |
Elektronische Aufsätze |
author-letter |
Griens, A.M.G.F. |
doi_str_mv |
10.1046/j.1365-2648.2001.01946.x |
author2-role |
verfasserin |
title_sort |
exploring the nursing minimum data set for the netherlands using multidimensional scaling techniques |
title_auth |
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques |
abstract |
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. |
abstractGer |
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. |
abstract_unstemmed |
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity. |
collection_details |
GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE |
container_issue |
1 |
title_short |
Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques |
url |
http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x |
remote_bool |
true |
author2 |
Goossen, W.T.F. PhD RN Van der Kloot, W.A. PhD |
author2Str |
Goossen, W.T.F. PhD RN Van der Kloot, W.A. PhD |
ppnlink |
NLEJ243927088 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1046/j.1365-2648.2001.01946.x |
up_date |
2024-07-06T05:22:43.583Z |
_version_ |
1803805905212407808 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ243412622</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707180744.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120427s2001 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1046/j.1365-2648.2001.01946.x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ243412622</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Griens, A.M.G.F.</subfield><subfield code="c">MSc</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford UK</subfield><subfield code="b">Blackwell Science Ltd</subfield><subfield code="c">2001</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques Rationale. To fulfil the need for a systematic collection of nursing data that give insight in nursing care and its benefits and costs, a nursing minimum data set (NMDS) has been developed and validated for Dutch general hospitals. A NMDS provides data describing the diversity in patient populations and variability in nursing activities that can be analysed in various ways. Aim of the study. To explore and compare the fundamental underlying dimensions describing patient problems and nursing interventions in Dutch general hospital wards. Methods. Data of predominantly nominal and ordinal measurement level that were collected with the NMDS for The Netherlands on 15 Dutch hospital wards underwent two consecutive steps: first, they were transformed into metric data by means of RIDIT (relative to an identified distribution) analysis; secondly, they were analysed by means of multidimensional scaling. Results. Multidimensional scaling techniques yielded a fairly good three-dimensional solution of the NMDS data. Hospital wards could be distinguished from each other on the basis of patient problems and nursing interventions most common on some wards but not on others. The core aspects underlying patient problems concerned dependency problems, life threatening problems and endogenous–exogenous problems, while discriminating nursing interventions were cure–care activities, internally–externally oriented activities and psychosocial–physical interventions. Limitations. Not all types of hospital wards were represented, which limits the representativity of the results for Dutch general hospitals. Furthermore, the patient sample size over the 15 wards was relatively small. Conclusion. The constructs are consistent with NMDS findings in Belgium and findings from practice, which contributes to their content validity.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="d">2008</subfield><subfield code="f">Blackwell Publishing Journal Backfiles 1879-2005</subfield><subfield code="7">|2008||||||||||</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">nursing minimum data set</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Goossen, W.T.F.</subfield><subfield code="c">PhD RN</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Van der Kloot, W.A.</subfield><subfield code="c">PhD</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Journal of advanced nursing</subfield><subfield code="d">Oxford [u.a.] : Wiley-Blackwell, 1976</subfield><subfield code="g">36(2001), 1, Seite 0</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ243927088</subfield><subfield code="w">(DE-600)2009963-0</subfield><subfield code="x">1365-2648</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:36</subfield><subfield code="g">year:2001</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1046/j.1365-2648.2001.01946.x</subfield><subfield code="q">text/html</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DJB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">36</subfield><subfield code="j">2001</subfield><subfield code="e">1</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
score |
7.401272 |