Feasibility and Efficacy Study for a Pre-visit Lab Protocol for Adult Medicine Physicals

March 29, 2024 updated by: Nadim Ilbawi, NorthShore University HealthSystem
This is a research study evaluating the implementation of a clinic workflow to encourage pre-visit laboratory testing, such as blood work. The purpose of this research is to understand provider and patient satisfaction with clinic workflows to support pre-visit laboratory tests (blood work) for annual physical and wellness visits. Providers and staff at participating sites will be approached to fill out an anonymous survey regarding experiences with implementation of the pre-visit laboratory testing workflow. Additional data from NorthShore's Enterprise Data Warehouse (EDW) will be collected to assess the pre-lab test rate before implementation, at 6 months, and 12 months, in addition to provider and staff time efficiencies and patient satisfaction as assessed by surveys.

Study Overview

Status

Enrolling by invitation

Intervention / Treatment

Detailed Description

This is a research study about implementing a clinic workflow to encourage pre-visit laboratory testing, such as blood work. Resulting labs is a critical yet time consuming task for primary care clinicians. Ideal and timely management of both normal and abnormal lab results is best done when the patient and clinician are face to face in an office visit. This allows patients to ask questions and clinicians to most efficiently make recommendations, adjust or start medications, or order follow up testing. There is a notable and measurable time commitment to the in-basket burden of sharing lab results via a patient portal or phone calls, advising or counseling on these results and answering subsequent patient inquiries. Furthermore, in a consumer-centric health system and one in which routine blood tests are ordered for employment/insurance purposes and peace of mind, over-ordering of lab testing and the subsequent associated anxiety of out of range results are both costly to the patient and the health care system. Going "upstream" of the in-basket work associated with lab results requires a workflow that maximizes staff time, emphasizes patient engagement and understanding and most efficiently uses clinician time to guide good patient care.

The aims of this research study include to measure the feasibility of implementing a pre-visit lab testing clinic workflow, which involves clinicians using the electronic medical record (EMR) to indicate preferences that upcoming labs be completed prior to their scheduled physical so that results can be discussed during the office visit, and to study the efficacy of a pre-visit lab workflow as it relates to clinician in-basket time, staff time, patient satisfaction, provider satisfaction, and frequency of patient encounters post visit.

The study has multiple components to test these aims. Approximately 4 sites will be engaged to implement the study workflow for all prospective patients seen at the designated offices. Site physicians and their clinic staff will be invited to attend a Lunch & Learn to discuss the intent to implement pre-visit lab testing and confirm the details of the clinic workflow. Data will be reviewed for progress reports and modifications to the clinical workflow can be made at that time to adjust for implementation barriers.

Longitudinal data from a brief survey will be collected from clinical staff (e.g. providers, practice managers, nurses, medical assistants, etc.) at three time points: prior to study implementation, at 6-months of implementation, and at 1-year of implementation. Practices will act as their own controls with their patients with labs resulted on/post-visit compared to those resulted pre-visit. Data sources will include EDW data, Press-Ganey scores, and physician surveys to assess time burden and satisfaction with workflow.

A secondary study component will involve anonymous patient surveys collected at every annual physical or wellness visit for the duration of the study. Additionally, patient data will be collected from existing sources (EPIC/Clarity, Press-Ganey, Enterprise Data Warehouse, billing, etc.) to assess the effectiveness of the workflow as it relates to patient understanding of their care.

Study Type

Observational

Enrollment (Estimated)

301000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Illinois
      • Evanston, Illinois, United States, 60201
        • Northshore University Healthsystem

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

4 NorthShore Medical Group Primary Care (Family Medicine/ Internal Medicine/ non-specialty) sites will be asked to implement the study workflow for all prospective patients (approximately 30,000 total) seen between 11/1/2022- 11/1/2024 at the designated offices.

Description

Inclusion Criteria:

  • Aged 18 or older.
  • Patients must have had an annual physical/ wellness visit within 30 days of completing the survey.
  • Patient/ providers willing to complete the survey.

Exclusion Criteria:

• Participants younger than 18 years of age.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Practices Engaged for Pre-Visit Lab Clinic Workflow
Providers and patients/ at the designated practice sites
  1. Based on buy-in from the providers/staff one or both of the practices below will be introduced into the clinic workflow to order pre-visit labs.

    1. All procedures are within the standard of care, only the order of operations is being changed. After sharing lab results with patient from the most recent routine physical, physician records labs for the next calendar year in EMR.
    2. Prior to appointment, Medical Assistant (MA) will review notes and orders to setup pre-visit labs.
  2. Patient contacted to complete labs prior to the scheduled routine physical.
  3. Resulted labs are triaged based on urgency.
  4. After Visit Summary used to communicate about labs and surveys.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change from baseline pre-lab test rate
Time Frame: 3 months prior to study implementation and then ongoing to month 24 to calculate monthly proportions
Count of pre-lab tests completed out of the total number of annual physical/wellness visits to participating providers to participating providers
3 months prior to study implementation and then ongoing to month 24 to calculate monthly proportions

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change from baseline clinician time spent resulting labs
Time Frame: baseline (prior to study implementation), at 6-months of implementation, and at 1-year of implementation
Time questions asked in provider questionnaire
baseline (prior to study implementation), at 6-months of implementation, and at 1-year of implementation
Change from baseline provider satisfaction
Time Frame: baseline (prior to study implementation), at 6-months of implementation, and at 1-year of implementation
Agreement metrics (1= Strongly disagree to 5= Strongly agreed) asked in provider questionnaire. Higher scores indicate a better outcome.
baseline (prior to study implementation), at 6-months of implementation, and at 1-year of implementation
Change from baseline patient satisfaction
Time Frame: baseline, 1 year, and 2 year (i.e. annually at every wellness/ annual physical visit)
Agreement metrics (1= Strongly disagree to 5= Strongly agreed) asked in provider questionnaire. Higher scores indicate a better outcome.
baseline, 1 year, and 2 year (i.e. annually at every wellness/ annual physical visit)
Change from baseline frequency of patient encounters post visit
Time Frame: 3 months prior to study implementation and then ongoing to month 24 to calculate monthly proportions
Enterprise Data Warehouse data pull
3 months prior to study implementation and then ongoing to month 24 to calculate monthly proportions

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Nadim Ilbawi, MD, Northshore University Healthsystem

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 8, 2023

Primary Completion (Estimated)

May 1, 2025

Study Completion (Estimated)

May 1, 2025

Study Registration Dates

First Submitted

January 6, 2023

First Submitted That Met QC Criteria

January 30, 2023

First Posted (Actual)

January 31, 2023

Study Record Updates

Last Update Posted (Actual)

April 1, 2024

Last Update Submitted That Met QC Criteria

March 29, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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