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...
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| Autor*in: |
Griens, A.M.G.F. - MSc [verfasserIn] Goossen, W.T.F. - PhD RN [verfasserIn] Van der Kloot, W.A. - PhD [verfasserIn] |
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| Format: |
E-Artikel |
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| Erschienen: |
Oxford UK: Blackwell Science Ltd ; 2001 |
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| Schlagwörter: |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
2008 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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| 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: |
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| DOI / URN: |
10.1046/j.1365-2648.2001.01946.x |
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NLEJ243412622 |
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| 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. | ||
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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 |
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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 |
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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 |
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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 |
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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 |
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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. 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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. |
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Exploring the Nursing Minimum Data Set for The Netherlands using multidimensional scaling techniques |
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Goossen, W.T.F. PhD RN Van der Kloot, W.A. PhD |
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Goossen, W.T.F. PhD RN Van der Kloot, W.A. PhD |
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10.1046/j.1365-2648.2001.01946.x |
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2024-07-06T05:22:43.583Z |
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