Statewide Implementation of Electronic Health Records

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

PHASE2

Total Enrollment

2030 participants

Study Classification

INTERVENTIONAL

Study Start Date

2005-09-30

Study Completion Date

2012-12-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

To determine the effects of Electronic Health Record use on medication error rates in primary care office practices.

Hypothesis: Adoption of Electronic Health Records through this program will reduce medication errors

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Electronic Health Records for Health Promotion

NCT00142077

Influenza

COMPLETED NA

Improving Healthcare Systems for Access to Care by Underserved Patients

NCT02235597

Health Services Accessibility

COMPLETED

Integrating Patient Generated Family Health History From Varied Electronic Health Record (EHR) Entry Portals

NCT00977847

Family Characteristics Health Status Family Research

COMPLETED NA

Delivery of Preventive Services in Primary Care

NCT00115557

Preventive Services Immunizations Screening

COMPLETED NA

Health Information Technology (HIT) Enhanced Family History Documentation and Management in Primary Care

NCT01468675

Colorectal Cancer Breast Cancer Coronary Heart Disease +1 more

COMPLETED NA

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

From the practices committed to implementing EHR in early 2005, we randomly selected 15 adult community-based primary care physicians. We selected 15 similar physicians in practices that were not planning to adopt in that time period.

At each of these physicians' practices we documented rates of medication errors for one week prior to the implementation of an EHR using duplicate prescription pads. Two months after the implementation in the adopting group, allowing some time for familiarization with the tool, we collected two weeks of data using computer-based information (in the adopting arm) and duplicate prescriptions (in the non-adopting arm).

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Medication Errors

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NON_RANDOMIZED

Intervention Model

FACTORIAL

Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

1

Paper prescribing, 2005 and 2007

Group Type NO_INTERVENTION

No interventions assigned to this group

2

Paper prescribing 2005 vs. electronic prescribing 2007

Group Type EXPERIMENTAL

Electronic Health Record Implementation

Intervention Type OTHER

Intervention subjects implemented electronic prescribing as part of an electronic health record implementation

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Electronic Health Record Implementation

Intervention subjects implemented electronic prescribing as part of an electronic health record implementation

Intervention Type OTHER

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

eClinical Works

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* All patients of physicians participating in the study

Exclusion Criteria

* Any patients who are not part of a panel of a participating physician
* Any patients who are younger than 18 years of age
* Any patients who came in for a second visit within each data collection period

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No