Improving Estimates for Electronic Health Record Take up in Ohio: A Small Area Estimation Technique
Main Author: | |
---|---|
Language: | English |
Published: |
The Ohio State University / OhioLINK
2012
|
Subjects: | |
Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1325266402 |
id |
ndltd-OhioLink-oai-etd.ohiolink.edu-osu1325266402 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-OhioLink-oai-etd.ohiolink.edu-osu13252664022021-08-03T06:04:18Z Improving Estimates for Electronic Health Record Take up in Ohio: A Small Area Estimation Technique Weston, Daniel Joseph, II Statistics Health Information Electronic Health Records Small Area Estimation Ohio Regression EHR HIT OSU Medicaid GRC Government Resource Center Much health policy research has examined strategies to increase health provider quality and efficiency, and to improve patient outcomes. The American Recovery and Reinvestment Act (ARRA) and the Patient Protection and Affordable Care Act (PPACA) promote the adoption of electronic health records (EHR) as a mechanism of medical costs control and quality improvement meant to complement the national expansion of health care (Steinbrook, 2009). Given the EHR initiatives, Ohio Medicaid is pursuing the examination of Ohio-based EHR adoption and expansion. As an enticement for greater degrees of EHR adoption, Ohio is implementing the Medicaid Provider Incentive Program (MPIP) to assist practices having financial difficulties adopting EHR. To determine Ohio’s EHR take up, in the fall of 2010 the Ohio Department of Job and Family Services and The Ohio Colleges of Medicine Government Resource Center administered the Electronic Health Records Survey to determine the use and implementation of EHR. The goal of this thesis is to improve the estimate of EHR take up rates by medical practitioners in Ohio. Those qualifying for incentives are medical practitioners, primary care physicians, medical specialists, dentists, nurse practitioners, and nurse midwives with a Medicaid patient volume above 30%, and pediatricians with a Medicaid patient volume above 20%. Two estimation techniques were employed to estimate Ohio’s EHR take up rate: (1) a weighted stratified sampling estimator, which was the technique originally used, and (2) a new technique using a small area estimation estimator. To estimate the number of practitioners in Ohio eligible for thee MPIP, we will examine and compare the results of these two procedures. 2012-01-06 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1325266402 http://rave.ohiolink.edu/etdc/view?acc_num=osu1325266402 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
collection |
NDLTD |
language |
English |
sources |
NDLTD |
topic |
Statistics Health Information Electronic Health Records Small Area Estimation Ohio Regression EHR HIT OSU Medicaid GRC Government Resource Center |
spellingShingle |
Statistics Health Information Electronic Health Records Small Area Estimation Ohio Regression EHR HIT OSU Medicaid GRC Government Resource Center Weston, Daniel Joseph, II Improving Estimates for Electronic Health Record Take up in Ohio: A Small Area Estimation Technique |
author |
Weston, Daniel Joseph, II |
author_facet |
Weston, Daniel Joseph, II |
author_sort |
Weston, Daniel Joseph, II |
title |
Improving Estimates for Electronic Health Record Take up in Ohio: A Small Area Estimation Technique |
title_short |
Improving Estimates for Electronic Health Record Take up in Ohio: A Small Area Estimation Technique |
title_full |
Improving Estimates for Electronic Health Record Take up in Ohio: A Small Area Estimation Technique |
title_fullStr |
Improving Estimates for Electronic Health Record Take up in Ohio: A Small Area Estimation Technique |
title_full_unstemmed |
Improving Estimates for Electronic Health Record Take up in Ohio: A Small Area Estimation Technique |
title_sort |
improving estimates for electronic health record take up in ohio: a small area estimation technique |
publisher |
The Ohio State University / OhioLINK |
publishDate |
2012 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1325266402 |
work_keys_str_mv |
AT westondanieljosephii improvingestimatesforelectronichealthrecordtakeupinohioasmallareaestimationtechnique |
_version_ |
1719430415563882496 |