Administrative Workload in the Intensive Care Unit

NCT02730221 | Unknown

• 1 other identifier: 2015.564
• Study Type: observational
• Target: 200
• Locations: 1 country
• Sites: 1

Brief Summary

A prospective observational study in the Intensive Care Unit and the Medium Care Unit in a university hospital in Amsterdam. Recent studies show that administrative tasks occupy more than 30% of the workload. One-third of these administrative tasks is unrelated to care. The administrative workload of physicians and nurses will be observed and quantified using two different methods. The amount of time physicians and nurses are logged on into the patient data management system (PDMS) will be measured and the time spent on different work tasks will be monitored with a work sampling method. Two different patient data management systems will be compared.

Conditions

Critical Illness

Keywords

Administrative workload; Patient data management system; Intensive Care Unit; Work sampling method; Nursing Activity Score

Outcome Measures

Primary Outcomes (4)

• Login time in the PDMS per hour for nurses

  The amount of time being logged on to the PDMS per hour will be calculated for different shifts

  24 hours a day

• Login time in the PDMS per hour for doctors

  The amount of time being logged on to the PDMS per hour will be calculated for different shifts

  24 hours a day

• Amount of time spent on administrative work and documentation per shift for nurses

  The amount of time spent on administrative tasks and documentation during dayshifts measured with a work sampling methode

  9 hours a day

• Amount of time spent on administrative work and documentation per shift for doctors

  The amount of time spent on administrative tasks and documentation during dayshifts measured with a work sampling methode

  9 hours a day

Secondary Outcomes (2)

• Amount of time spent on direct patient care per shift for nurses

  9 hours a day

• Amount of time spent on direct patient care per shift for doctors

  9 hours a day

Study Arms (2)

Patients admitted during measurement 1

All patients admitted to the Intensive Care and Medium Care Unit during a two-week study period before the implementation of a new electronic patient data management system

Patients admitted during measurement 2

All patients admitted to the Intensive Care and Medium Care Unit during a two-week study period after the implementation of a new electronic patient data management system

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

All patients admitted to the Intensive Care Unit during one of the two study periods

You may qualify if:

• Admission to the Intensive Care Unit during one of the two study periods

You may not qualify if:

• Not applicable

Sponsors & Collaborators

• Amsterdam UMC, location VUmc: lead

Study Sites (1)

VUMedicalCentre

Amsterdam, North Holland, 1007 MB, Netherlands

RECRUITING

Related Publications (6)

• Li L, Hains I, Hordern T, Milliss D, Raper R, Westbrook J. What do ICU doctors do? A multisite time and motion study of the clinical work patterns of registrars. Crit Care Resusc. 2015 Sep;17(3):159-66.

  PMID: 26282253 BACKGROUND

• Armstrong E, de Waard MC, de Grooth HJ, Heymans MW, Reis Miranda D, Girbes AR, Spijkstra JJ. Using Nursing Activities Score to Assess Nursing Workload on a Medium Care Unit. Anesth Analg. 2015 Nov;121(5):1274-80. doi: 10.1213/ANE.0000000000000968.

  PMID: 26484461 BACKGROUND

• Bosman RJ. Impact of computerized information systems on workload in operating room and intensive care unit. Best Pract Res Clin Anaesthesiol. 2009 Mar;23(1):15-26. doi: 10.1016/j.bpa.2008.10.001.

  PMID: 19449613 BACKGROUND

• Urden LD, Roode JI. Work sampling. A decision-making tool for determining resources and work redesign. J Nurs Adm. 1997 Sep;27(9):34-41. doi: 10.1097/00005110-199709000-00009.

  PMID: 9300013 BACKGROUND

• Pelletier D, Duffield C. Work sampling: valuable methodology to define nursing practice patterns. Nurs Health Sci. 2003 Mar;5(1):31-8. doi: 10.1046/j.1442-2018.2003.00132.x.

  PMID: 12603719 BACKGROUND

• Marasovic C, Kenney C, Elliott D, Sindhusake D. A comparison of nursing activities associated with manual and automated documentation in an Australian intensive care unit. Comput Nurs. 1997 Jul-Aug;15(4):205-11.

  PMID: 9260381 BACKGROUND

MeSH Terms

Conditions

Critical Illness

Condition Hierarchy (Ancestors)

Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Angelique ME Spoelstra - de Man, MD PhD

  Amsterdam UMC, location VUmc

  STUDY DIRECTOR

Central Study Contacts

Jantine G Röttgering, Bsc

CONTACT

+31204443697; j.rottgering@vumc.nl

Angelique ME Spoelstra - de Man, MD PhD

CONTACT

+31204443697; am.spoelstra@vumc.nl

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Dr. A.M.E. Spoelstra--de Man

Study Record Dates

• First Submitted: March 31, 2016
• First Posted: April 6, 2016
• Study Start: January 1, 2016
• Primary Completion: May 1, 2017
• Study Completion: January 1, 2020
• Last Updated: April 26, 2019

Record last verified: 2019-04

Data Sharing

• IPD Sharing: Will not share

Locations

NL (1)