Medication process compliance in pediatric inpatients - Time to the first

Haresh L. Bhatia, Neal R. Patel, Catherine H. Ivory, Phillip W. Stewart, Kim M. Unertl, Christoph U. Lehmann

Research output: Contribution to journalArticle

Abstract

Objective: For most medical conditions, reducing the time between intent to treat and actual treatment is beneficial. The goal of this study was to determine the current state of the medication process at a university-affiliated children's hospital. We also intended to investigate variations in order-to-administration intervals according to hospital location, medication, scheduled time, and patient age. Method: We used the enterprise data warehouse (EDW) to collect medication process data using ordering, scheduling, and administration timestamps. We calculated the intervals for medication process components (o rdering to d ispensing and to a dministration) and analyzed the respective distributions. Results: We identified an association of the medication process intervals with the order-type, verification requirements, patient unit, Anatomical Therapeutic Chemical (ATC) class of the ordered medication, scheduled hour, and patient age. Conclusion: Meaningful information can be obtained from the analysis of medication process timestamps and computed intervals identifying areas for improvement. Institution-wide analytics of EDW repository data may measure the "health" of the medication process.

Original languageEnglish (US)
Article number5
JournalOnline Journal of Nursing Informatics
Volume22
Issue number1
StatePublished - Jan 1 2018
Externally publishedYes

Fingerprint

Medication Adherence
Inpatients
Pediatrics
Health
Therapeutics

ASJC Scopus subject areas

  • Health Informatics
  • Nursing (miscellaneous)

Cite this

Bhatia, H. L., Patel, N. R., Ivory, C. H., Stewart, P. W., Unertl, K. M., & Lehmann, C. U. (2018). Medication process compliance in pediatric inpatients - Time to the first. Online Journal of Nursing Informatics, 22(1), [5].

Medication process compliance in pediatric inpatients - Time to the first. / Bhatia, Haresh L.; Patel, Neal R.; Ivory, Catherine H.; Stewart, Phillip W.; Unertl, Kim M.; Lehmann, Christoph U.

In: Online Journal of Nursing Informatics, Vol. 22, No. 1, 5, 01.01.2018.

Research output: Contribution to journalArticle

Bhatia, HL, Patel, NR, Ivory, CH, Stewart, PW, Unertl, KM & Lehmann, CU 2018, 'Medication process compliance in pediatric inpatients - Time to the first', Online Journal of Nursing Informatics, vol. 22, no. 1, 5.
Bhatia, Haresh L. ; Patel, Neal R. ; Ivory, Catherine H. ; Stewart, Phillip W. ; Unertl, Kim M. ; Lehmann, Christoph U. / Medication process compliance in pediatric inpatients - Time to the first. In: Online Journal of Nursing Informatics. 2018 ; Vol. 22, No. 1.
@article{be769645fa4341e59a82760ad4496d31,
title = "Medication process compliance in pediatric inpatients - Time to the first",
abstract = "Objective: For most medical conditions, reducing the time between intent to treat and actual treatment is beneficial. The goal of this study was to determine the current state of the medication process at a university-affiliated children's hospital. We also intended to investigate variations in order-to-administration intervals according to hospital location, medication, scheduled time, and patient age. Method: We used the enterprise data warehouse (EDW) to collect medication process data using ordering, scheduling, and administration timestamps. We calculated the intervals for medication process components (o rdering to d ispensing and to a dministration) and analyzed the respective distributions. Results: We identified an association of the medication process intervals with the order-type, verification requirements, patient unit, Anatomical Therapeutic Chemical (ATC) class of the ordered medication, scheduled hour, and patient age. Conclusion: Meaningful information can be obtained from the analysis of medication process timestamps and computed intervals identifying areas for improvement. Institution-wide analytics of EDW repository data may measure the {"}health{"} of the medication process.",
author = "Bhatia, {Haresh L.} and Patel, {Neal R.} and Ivory, {Catherine H.} and Stewart, {Phillip W.} and Unertl, {Kim M.} and Lehmann, {Christoph U.}",
year = "2018",
month = "1",
day = "1",
language = "English (US)",
volume = "22",
journal = "Online Journal of Nursing Informatics",
issn = "1089-9758",
publisher = "On-Line Journal of Nursing Informatics",
number = "1",

}

TY - JOUR

T1 - Medication process compliance in pediatric inpatients - Time to the first

AU - Bhatia, Haresh L.

AU - Patel, Neal R.

AU - Ivory, Catherine H.

AU - Stewart, Phillip W.

AU - Unertl, Kim M.

AU - Lehmann, Christoph U.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Objective: For most medical conditions, reducing the time between intent to treat and actual treatment is beneficial. The goal of this study was to determine the current state of the medication process at a university-affiliated children's hospital. We also intended to investigate variations in order-to-administration intervals according to hospital location, medication, scheduled time, and patient age. Method: We used the enterprise data warehouse (EDW) to collect medication process data using ordering, scheduling, and administration timestamps. We calculated the intervals for medication process components (o rdering to d ispensing and to a dministration) and analyzed the respective distributions. Results: We identified an association of the medication process intervals with the order-type, verification requirements, patient unit, Anatomical Therapeutic Chemical (ATC) class of the ordered medication, scheduled hour, and patient age. Conclusion: Meaningful information can be obtained from the analysis of medication process timestamps and computed intervals identifying areas for improvement. Institution-wide analytics of EDW repository data may measure the "health" of the medication process.

AB - Objective: For most medical conditions, reducing the time between intent to treat and actual treatment is beneficial. The goal of this study was to determine the current state of the medication process at a university-affiliated children's hospital. We also intended to investigate variations in order-to-administration intervals according to hospital location, medication, scheduled time, and patient age. Method: We used the enterprise data warehouse (EDW) to collect medication process data using ordering, scheduling, and administration timestamps. We calculated the intervals for medication process components (o rdering to d ispensing and to a dministration) and analyzed the respective distributions. Results: We identified an association of the medication process intervals with the order-type, verification requirements, patient unit, Anatomical Therapeutic Chemical (ATC) class of the ordered medication, scheduled hour, and patient age. Conclusion: Meaningful information can be obtained from the analysis of medication process timestamps and computed intervals identifying areas for improvement. Institution-wide analytics of EDW repository data may measure the "health" of the medication process.

UR - http://www.scopus.com/inward/record.url?scp=85042798865&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85042798865&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85042798865

VL - 22

JO - Online Journal of Nursing Informatics

JF - Online Journal of Nursing Informatics

SN - 1089-9758

IS - 1

M1 - 5

ER -