Protocol for the -Implementation, adoption, and utility of family history in diverse care settings- studyReport as inadecuate




Protocol for the -Implementation, adoption, and utility of family history in diverse care settings- study - Download this document for free, or read online. Document in PDF available to download.

Implementation Science

, 10:163

First Online: 24 November 2015Received: 11 October 2015Accepted: 12 November 2015

Abstract

BackgroundRisk assessment with a thorough family health history is recommended by numerous organizations and is now a required component of the annual physical for Medicare beneficiaries under the Affordable Care Act. However, there are several barriers to incorporating robust risk assessments into routine care. MeTree, a web-based patient-facing health risk assessment tool, was developed with the aim of overcoming these barriers. In order to better understand what factors will be instrumental for broader adoption of risk assessment programs like MeTree in clinical settings, we obtained funding to perform a type III hybrid implementation-effectiveness study in primary care clinics at five diverse healthcare systems. Here, we describe the study’s protocol.

Methods-designMeTree collects personal medical information and a three-generation family health history from patients on 98 conditions. Using algorithms built entirely from current clinical guidelines, it provides clinical decision support to providers and patients on 30 conditions. All adult patients with an upcoming well-visit appointment at one of the 20 intervention clinics are eligible to participate. Patient-oriented risk reports are provided in real time. Provider-oriented risk reports are uploaded to the electronic medical record for review at the time of the appointment. Implementation outcomes are enrollment rate of clinics, providers, and patients enrolled vs approached and their representativeness compared to the underlying population. Primary effectiveness outcomes are the percent of participants newly identified as being at increased risk for one of the clinical decision support conditions and the percent with appropriate risk-based screening. Secondary outcomes include percent change in those meeting goals for a healthy lifestyle diet, exercise, and smoking. Outcomes are measured through electronic medical record data abstraction, patient surveys, and surveys-qualitative interviews of clinical staff.

DiscussionThis study evaluates factors that are critical to successful implementation of a web-based risk assessment tool into routine clinical care in a variety of healthcare settings. The result will identify resource needs and potential barriers and solutions to implementation in each setting as well as an understanding potential effectiveness.

Trial registrationNCT01956773

KeywordsRisk stratification Prevention Primary care Family health history AbbreviationsCEAcost-effectiveness analysis

CDSclinical decision support

EIRHEssentia Institute of Rural Health

EMRelectronic medical record

FHHfamily health history

IGNITEImplementing Genomics in Practice

MCWMedical College of Wisconsin

ORICorganizational readiness to Implement Change

UNTUniversity of North Texas

Download fulltext PDF



Author: R. Ryanne Wu - Rachel A. Myers - Catherine A. McCarty - David Dimmock - Michael Farrell - Deanna Cross - Troy D. Chinev

Source: https://link.springer.com/



DOWNLOAD PDF




Related documents