Do nurses document all discussions of patient problems and nursing interventions in the electronic health record? A pilot study in home healthcare.

clinical note electronic health records home healthcare information overlap nursing informatics verbal communication

Journal

JAMIA open
ISSN: 2574-2531
Titre abrégé: JAMIA Open
Pays: United States
ID NLM: 101730643

Informations de publication

Date de publication:
Jul 2022
Historique:
received: 31 01 2022
revised: 23 03 2022
accepted: 04 05 2022
entrez: 6 6 2022
pubmed: 7 6 2022
medline: 7 6 2022
Statut: epublish

Résumé

To assess the overlap of information between electronic health record (EHR) and patient-nurse verbal communication in home healthcare (HHC). Patient-nurse verbal communications during home visits were recorded between February 16, 2021 and September 2, 2021 with patients being served in an organization located in the Northeast United States. Twenty-two audio recordings for 15 patients were transcribed. To compare overlap of information, manual annotations of problems and interventions were made on transcriptions as well as information from EHR including structured data and clinical notes corresponding to HHC visits. About 30% (1534/5118) of utterances (ie, spoken language preceding/following silence or a change of speaker) were identified as including problems or interventions. A total of 216 problems and 492 interventions were identified through verbal communication among all the patients in the study. Approximately 50.5% of the problems and 20.8% of the interventions discussed during the verbal communication were not documented in the EHR. Preliminary results showed that statistical differences between racial groups were observed in a comparison of problems and interventions. This study was the first to investigate the extent that problems and interventions were mentioned in patient-nurse verbal communication during HHC visits and whether this information was documented in EHR. Our analysis identified gaps in information overlap and possible racial disparities. Our results highlight the value of analyzing communications between HHC patients and nurses. Future studies should explore ways to capture information in verbal communication using automated speech recognition.

Identifiants

pubmed: 35663115
doi: 10.1093/jamiaopen/ooac034
pii: ooac034
pmc: PMC9154272
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ooac034

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Références

Patient Educ Couns. 2002 Apr;46(4):243-51
pubmed: 11932123
Br J Clin Pharmacol. 1999 Dec;48(6):861-5
pubmed: 10594491
Patient Educ Couns. 2009 Mar;74(3):295-301
pubmed: 19150199
J Gen Intern Med. 2019 Jul;34(7):1096-1097
pubmed: 31011960
BMC Nurs. 2020 Sep 29;19:91
pubmed: 33013200
Acad Med. 2004 Jun;79(6):495-507
pubmed: 15165967
Home Health Care Serv Q. 2012;31(4):267-301
pubmed: 23216513
BMJ. 1999 Sep 18;319(7212):766-71
pubmed: 10488010
Patient Educ Couns. 2014 Mar;94(3):314-21
pubmed: 24360508
Rev Assoc Med Bras (1992). 2014 Mar-Apr;60(2):156-72
pubmed: 24919004
Mayo Clin Proc. 2016 Jul;91(7):836-48
pubmed: 27313121
J Gen Intern Med. 2009 Mar;24(3):341-8
pubmed: 19130148
JMIR Hum Factors. 2022 May 11;9(2):e35325
pubmed: 35544296
J Public Econ. 2014 Feb 1;110:1-14
pubmed: 24497648
Perspect Health Inf Manag. 2013 Oct 01;10:1c
pubmed: 24159271
Trans Am Clin Climatol Assoc. 2012;123:167-72; discussion 172-4
pubmed: 23303983
J Gen Intern Med. 2013 Apr;28(4):496-503
pubmed: 23054927
NPJ Digit Med. 2019 Nov 22;2:114
pubmed: 31799422
Hypertension. 2018 Aug;72(2):263-269
pubmed: 29941519
Proc Hum Factors Ergon Soc Annu Meet. 2009 Oct;53(1):718-722
pubmed: 25530696
Appl Clin Inform. 2019 Mar;10(2):247-253
pubmed: 30970382
Nurs Res. 2022 Jul-Aug 01;71(4):285-294
pubmed: 35171126
Home Health Care Serv Q. 2009;28(1):45-57
pubmed: 19266370
Am J Public Health. 2004 Dec;94(12):2084-90
pubmed: 15569958
Am J Infect Control. 2015 May 1;43(5):454-9
pubmed: 25681302
Med Care. 2016 Feb;54(2):140-6
pubmed: 26595227

Auteurs

Jiyoun Song (J)

Columbia University School of Nursing, New York, New York, USA.

Maryam Zolnoori (M)

Columbia University School of Nursing, New York, New York, USA.

Danielle Scharp (D)

Columbia University School of Nursing, New York, New York, USA.

Sasha Vergez (S)

Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, New York, USA.

Margaret V McDonald (MV)

Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, New York, USA.

Sridevi Sridharan (S)

Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, New York, USA.

Zoran Kostic (Z)

Fu Foundation School of Engineering and Applied Science, Department of Electrical Engineering, Columbia University, New York, New York, USA.

Maxim Topaz (M)

Columbia University School of Nursing, New York, New York, USA.
Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, New York, USA.
Data Science Institute, Columbia University, New York, New York, USA.

Classifications MeSH