Learning and Relationships in Primary Care (Learn & Relate)

June 2, 2017 updated by: VA Office of Research and Development

Learning and Relationships in Primary Care Clinical Microsystems

Within every primary care clinic is a small team of people who provide care to a group of patients who consider this clinic to be their medical home. Rapid advances in medical knowledge and technology require that these teams constantly adapt so that they can provide the best care to their patients. The goal of this study is to examine how people in these primary care teams learn and relate to each other as they change an adapt. This will be done by observing and interviewing people who work in these teams and by giving them and their patients a survey to fill out. We will then look at the performance of these clinics to see if it is related to how they learn and the quality of their relationships. Our ultimate goal is to design effective interventions that will improve the quality and outcomes of care received by Veterans in primary care outpatient clinics within the VHA.

Study Overview

Status

Completed

Conditions

Detailed Description

Anticipated Impacts on Veterans Healthcare: Our ultimate goal is to improve the health of veterans by designing interventions at the clinical microsystem level that will facilitate the integration of KM-SD roles in primary care through improving relationships and learning. We anticipate that such a cross-cutting intervention has the potential to improve clinical performance as well as staff and patient satisfaction. If we are successful, this could be a breakthrough in the efficiency of VA organizational change. Project Background: The way in which we conceptualize the basic nature of the primary care clinic (PCC) greatly influences our beliefs and ideas about what should work to improve its operations. If we view it as a production line, then we design our improvement efforts using systems engineering techniques aimed at standardizing, reducing variation, and improving efficiency. If instead we view the PCC as an organic and complex social system, then we might design our improvement efforts using methods designed to embrace rather than eliminate surprise (which is inevitable in health care settings), to enhance the connections and communication between the individuals in the PCC rather than focusing on improving the skill sets of the individuals, and to use feedback and time for reflection as part of a strategy for the PCC to make sense of their own operations and behaviors in relation to their mission and goals. For the purpose of this proposal, this latter approach will be denoted by the term knowledge management techniques. We propose to study whether PCC performance correlates with the presence of higher levels of use of knowledge management techniques within PCCs. The VA has been in the forefront of implementing some knowledge management practices, such as sue of performance data systems and integrated health records, but has not yet paid sufficient attention to other such as relationship management, increasing diversity in decision making, active learning, and sense-making. Project Objectives: Describe the range of knowledge management techniques, including relationship management and active learning) currently employed by 15 VA and 5 VA contract PCCs. 2. Analyze the relationship between the nature and roles of relationships and learning in PCCs and their performance across multiple outcomes including clinical performance measures, worker satisfaction and turnover, and patient satisfaction. Our research propositions are: (1) High performing PCCs exhibit higher quality relationships and more active learning than low performing clinics; (2) The quality of relationship within PCCs will have the largest effects on worker and patient satisfaction. Research Propositions: 1. High performing VA and VA contract primary care clinics will exhibit higher quality relationships and more active learning than low performing clinics. 2.a. Variation in temporal change in both relationships and learning among the 20 clinics over the 30 months will be observed. 2.b. The temporal change in relationships (such as stable, improving or deteriorating between adjacent years) will be associated with a similar temporal change in patient and employee satisfaction.2 c. The temporal change in learning (such as stable, improving or deteriorating between adjacent years) will be associated with a similar temporal change in process of care quality indicators and with intermediate clinical outcomes. Project Methods: Descriptive, iterative study of 15 VA and 5 VA contract primary care clinics within VISN 17. Using ethnographic, qualitative and quantitative data collection methods, each clinic will be profiled on the nature of relationships between staff and between staff and patients and the nature of learning. Clinical outcomes (patient functional status, BP, cholesterol, HgA1c, preventable admissions), patient satisfaction, employee satisfaction and turnover will serve as outcomes. The association of these outcomes with the nature of relationships and learning will be explored qualitatively and quantitatively. Stability of these profiles will be evaluated in two subsequent waves of data collection.

Study Type

Observational

Enrollment (Actual)

7905

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

    • Texas
      • San Antonio, Texas, United States, 78229
        • South Texas Health Care System, San Antonio, TX
      • Temple, Texas, United States, 76504
        • Central Texas Veterans Health Care System, Temple, TX

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 to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

clinicians and staff in VA primary care outpatient clinics in VISN 17

Description

Inclusion Criteria:

  1. Clinician or clinical staff in a non-contract VA primary care outpatient clinic.
  2. Patient seen in a non-contract VA primary care outpatient clinic in the prior 12 months.

Exclusion Criteria:

None

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
Group 1
Physicians and staff in VA non-contract primary care outpatient clinics and patients seen in last 12 months in the same clinics
Group 2
Patients seen in last 12 months in Group 1 clinics

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Quality of care as measured by the External Performance Review Process(EPRP)
Time Frame: 3 years
3 years

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Jacqueline A Pugh, MD BA, South Texas Health Care System, San Antonio, TX

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)

January 28, 2009

Primary Completion (Actual)

March 30, 2012

Study Completion (Actual)

March 30, 2012

Study Registration Dates

First Submitted

April 2, 2008

First Submitted That Met QC Criteria

April 9, 2008

First Posted (Estimate)

April 14, 2008

Study Record Updates

Last Update Posted (Actual)

June 6, 2017

Last Update Submitted That Met QC Criteria

June 2, 2017

Last Verified

June 1, 2017

More Information

Terms related to this study

Other Study ID Numbers

  • IIR 06-063

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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