Literature DB >> 21532470

Pain management documentation: analyzing one hospital's computerized clinical records.

Joanne G Samuels1, Dawn Kritter.   

Abstract

Pain management documentation, consisting of assessment, interventions, and reassessment, can help provide an important means of communication among practitioners to individualize care. Standard-setting organizations use pain management documentation as a key indicator of quality. Adoption of the electronic medical record alters the presentation of pain management documentation data for clinical and quality evaluation use. The purpose of this study was to describe pain management documentation output from the electronic medical record to gain an understanding of its presentation and evaluate the quantity and quality of the output. After institutional review board approval, data were abstracted from 51 electronic records of postsurgical patients in a 100-bed community hospital. Time-variant pain assessments, interventions, and reassessments were organized into pain management episodes to provide clinically interpretable data for evaluation. Data sources were identified. Data generated 1499 episodes for analysis. Analysis of variance results implied that pain management documentation changes with pain severity. Despite legibility and date and time stamping, inconsistencies and omitted and duplicated documentation were identified. Inconsistent data origination posed difficulty for interpreting clinically relevant associations. Improvements are required to streamline fields and consolidate entries to allow for output in alignment with care.

Entities:  

Mesh:

Year:  2011        PMID: 21532470     DOI: 10.1097/NCN.0b013e31821a1582

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  2 in total

1.  The Impact of Patient Interactive Systems on the Management of Pain in an Inpatient Hospital Setting: A Systematic Review.

Authors:  Raniah N Aldekhyyel; Caitlin J Bakker; Michael B Pitt; Genevieve B Melton
Journal:  Appl Clin Inform       Date:  2019-08-14       Impact factor: 2.342

2.  Quality of Care: Ecological Study for the Evaluation of Completeness and Accuracy in Nursing Assessment.

Authors:  Angela Iula; Carola Ialungo; Chiara de Waure; Matteo Raponi; Matteo Burgazzoli; Maurizio Zega; Caterina Galletti; Gianfranco Damiani
Journal:  Int J Environ Res Public Health       Date:  2020-05-07       Impact factor: 3.390

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.