Literature DB >> 23002111

Overcoming challenges to achieving meaningful use: insights from hospitals that successfully received Centers for Medicare and Medicaid Services payments in 2011.

Christopher A Harle1, Timothy R Huerta, Eric W Ford, Mark L Diana, Nir Menachemi.   

Abstract

OBJECTIVE: In an effort to understand better the federal electronic health record (EHR) incentive programme's challenges, this study compared hospitals that did and did not receive meaningful use (MU) payments in the programme's first year based on the challenges they anticipated a year before.
MATERIALS AND METHODS: This cross-sectional study used 2010 American Hospital Association survey data and 2011 Centers for Medicare and Medicaid Services data that identify hospitals receiving MU payments. Multivariate regression analysis assessed differences in 2010 anticipated challenges to MU for hospitals that were successful in earning 2011 MU payment compared to hospitals that intended to participate in the programme but were not yet successful.
RESULTS: The study sample consisted of 2475 hospitals, 313 of which received MU payments in 2011. Controlling for standard hospital characteristics, hospitals that reported the computerized provider order entry (CPOE) MU criterion as a primary challenge were 18% less likely to receive a 2011 MU payment compared to hospitals that reported other criteria as primary challenges. DISCUSSION: CPOE was the main challenge among hospitals that failed to achieve MU in the first year of the programme. In order to maximize the incentive programme's effectiveness, policymakers, healthcare organizations, and EHR vendors may benefit from increased attention to hospitals' challenges with CPOE.
CONCLUSION: As the EHR incentive programme matures, policymakers and other stakeholders should consider strategies that maintain the critical elements of MU while adequately supporting hospitals that desire to become MU but are impeded by specific technological, cultural, and organizational adoption and use challenges.

Mesh:

Year:  2012        PMID: 23002111      PMCID: PMC3638192          DOI: 10.1136/amiajnl-2012-001142

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  21 in total

1.  A progress report on electronic health records in U.S. hospitals.

Authors:  Ashish K Jha; Catherine M DesRoches; Peter D Kralovec; Maulik S Joshi
Journal:  Health Aff (Millwood)       Date:  2010-08-26       Impact factor: 6.301

2.  Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion.

Authors:  Joan S Ash; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

3.  Early experience with pay-for-performance: from concept to practice.

Authors:  Meredith B Rosenthal; Richard G Frank; Zhonghe Li; Arnold M Epstein
Journal:  JAMA       Date:  2005-10-12       Impact factor: 56.272

4.  Categorizing the unintended sociotechnical consequences of computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Richard H Dykstra; Kenneth Guappone; James D Carpenter; Veena Seshadri
Journal:  Int J Med Inform       Date:  2006-06-21       Impact factor: 4.046

5.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

6.  Adopting National Quality Forum medication safe practices: Progress and barriers to hospital implementation.

Authors:  Kimberly Rask; Steven Culler; Tracy Scott; Susan Kohler; Jonathan Hawley; Esther Friedman; Dorothy Vi Naylor
Journal:  J Hosp Med       Date:  2007-07       Impact factor: 2.960

7.  Costs and benefits of health information technology: new trends from the literature.

Authors:  Caroline Lubick Goldzweig; Ali Towfigh; Margaret Maglione; Paul G Shekelle
Journal:  Health Aff (Millwood)       Date:  2009-01-27       Impact factor: 6.301

8.  The effect of pay-for-performance in hospitals: lessons for quality improvement.

Authors:  Rachel M Werner; Jonathan T Kolstad; Elizabeth A Stuart; Daniel Polsky
Journal:  Health Aff (Millwood)       Date:  2011-04       Impact factor: 6.301

9.  Medicare and Medicaid programs; electronic health record incentive program--stage 2. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2012-09-04

Review 10.  Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions.

Authors:  Albert Boonstra; Manda Broekhuis
Journal:  BMC Health Serv Res       Date:  2010-08-06       Impact factor: 2.655

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  4 in total

1.  Physician beliefs about the impact of meaningful use of the EHR: a cross-sectional study.

Authors:  S Emani; D Y Ting; M Healey; S R Lipsitz; A S Karson; J S Einbinder; L Leinen; V Suric; D W Bates
Journal:  Appl Clin Inform       Date:  2014-08-27       Impact factor: 2.342

Review 2.  Barriers to Electronic Health Record Adoption: a Systematic Literature Review.

Authors:  Clemens Scott Kruse; Caitlin Kristof; Beau Jones; Erica Mitchell; Angelica Martinez
Journal:  J Med Syst       Date:  2016-10-06       Impact factor: 4.460

3.  Hospital Characteristics Associated with Certified EHR Adoption among US Psychiatric Hospitals.

Authors:  Xuejun Hu; Haiyan Qu; Shannon H Houser; Huoliang Chen; Jinming Zhou; Min Yu
Journal:  Risk Manag Healthc Policy       Date:  2020-04-02

4.  Qualitative analysis of vendor discussions on the procurement of Computerised Physician Order Entry and Clinical Decision Support systems in hospitals.

Authors:  Kathrin M Cresswell; Lisa Lee; Ann Slee; Jamie Coleman; David W Bates; Aziz Sheikh
Journal:  BMJ Open       Date:  2015-10-26       Impact factor: 2.692

  4 in total

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