Literature DB >> 2003618

The Nursing Minimum Data Set: abstraction tool for standardized, comparable, essential data.

H H Werley1, E C Devine, C R Zorn, P Ryan, B L Westra.   

Abstract

The Nursing Minimum Data Set (NMDS) represents the first attempt to standardize the collection of essential nursing data. These minimum core data, used on a regular basis by the majority of nurses in the delivery of care across settings, can provide an accurate description of nursing diagnoses, nursing care, and nursing resources used. Collected on an ongoing basis, a standardized nursing data base will enable nurses to compare data across populations, settings, geographic areas, and time. Public health nurses will be able to evaluate and compare services. The purpose of this article is to discuss briefly the following aspects of the NMDS: background including definition, purposes, and elements; availability and reliability of the data; benefits; implications of the NMDS with emphasis on nursing research; and health policy decision making.

Mesh:

Year:  1991        PMID: 2003618      PMCID: PMC1405031          DOI: 10.2105/ajph.81.4.421

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  9 in total

1.  Prospective payment and long-term care: linking payments to resource use.

Authors:  E Mitty
Journal:  Nurs Health Care       Date:  1987-01

2.  An analysis of nurse recording in family health clinics of a county health department.

Authors:  M H Mundt
Journal:  J Community Health Nurs       Date:  1988       Impact factor: 0.974

3.  Public health nursing documentation and case management through the use of flowsheets.

Authors:  K E Hemphill; C A Lutes; G L Taylor; M M Carroll; N Cragg
Journal:  J Community Health Nurs       Date:  1988       Impact factor: 0.974

4.  Test of the nursing minimum data set: availability of data and reliability.

Authors:  E C Devine; H H Werley
Journal:  Res Nurs Health       Date:  1988-04       Impact factor: 2.228

5.  Uniform minimum data sets: in search of demographic comparability.

Authors:  F M Treviño
Journal:  Am J Public Health       Date:  1988-02       Impact factor: 9.308

6.  Problems with surveillance methods for alcoholism: differences in coding systems among federal, state, and private agencies.

Authors:  J Westermeyer
Journal:  Am J Public Health       Date:  1988-02       Impact factor: 9.308

7.  Nursing 1987: a look back and a look ahead.

Authors:  E Ginzberg
Journal:  J Nurs Adm       Date:  1987-12       Impact factor: 1.737

8.  The Nursing Minimum Data Set Conference: executive summary.

Authors:  H H Werley; N M Lang; S K Westlake
Journal:  J Prof Nurs       Date:  1986 Jul-Aug       Impact factor: 2.104

9.  Brief summary of the nursing minimum data set conference.

Authors:  H H Werley; N M Lang; S K Westlake
Journal:  Nurs Manage       Date:  1986-07
  9 in total
  20 in total

1.  The Nursing Minimum Data Set: a major priority for public health nursing but not a panacea.

Authors:  C A Williams
Journal:  Am J Public Health       Date:  1991-04       Impact factor: 9.308

2.  Nursing Minimum Data Set Based on EHR Archetypes Approach.

Authors:  Dandara N Spigolon; Cláudia M C Moro
Journal:  NI 2012 (2012)       Date:  2012-06-23

3.  Nursing routine data as a basis for association analysis in the domain of nursing knowledge.

Authors:  Björn Sellemann; Jürgen Stausberg; Ursula Hübner
Journal:  NI 2012 (2012)       Date:  2012-06-23

4.  Toward standardized, comparable public health systems data: a taxonomic description of essential public health work.

Authors:  Jacqueline Merrill; Jonathan Keeling; Kristine Gebbie
Journal:  Health Serv Res       Date:  2009-08-17       Impact factor: 3.402

5.  A comparison of nursing minimal data sets.

Authors:  W T Goossen; P J Epping; T Feuth; T W Dassen; A Hasman; W J van den Heuvel
Journal:  J Am Med Inform Assoc       Date:  1998 Mar-Apr       Impact factor: 4.497

6.  Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review.

Authors:  Tamara G R Macieira; Tania C M Chianca; Madison B Smith; Yingwei Yao; Jiang Bian; Diana J Wilkie; Karen Dunn Lopez; Gail M Keenan
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

7.  Prioritization and Refinement of Clinical Data Elements within EHR Systems.

Authors:  Sarah A Collins; Emily Gesner; Perry L Mar; Doreen M Colburn; Roberto A Rocha
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

8.  A proposal for an Austrian Nursing Minimum Data Set (NMDS): a Delphi study.

Authors:  R Ranegger; W O Hackl; E Ammenwerth
Journal:  Appl Clin Inform       Date:  2014-06-04       Impact factor: 2.342

9.  Home health clients: characteristics, outcomes of care, and nursing interventions.

Authors:  K S Martin; N J Scheet; M R Stegman
Journal:  Am J Public Health       Date:  1993-12       Impact factor: 9.308

10.  A methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research.

Authors:  Rémy Choquet; Meriem Maaroufi; Albane de Carrara; Claude Messiaen; Emmanuel Luigi; Paul Landais
Journal:  J Am Med Inform Assoc       Date:  2014-07-18       Impact factor: 4.497

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