Literature DB >> 21449956

An assessment of Health Care Information and Management Systems Society and Leapfrog data on computerized provider order entry.

Mark L Diana1, Abby Swanson Kazley, Nir Menachemi.   

Abstract

OBJECTIVE: To assess the internal consistency and agreement between the Health Care Information and Management Systems Society (HIMSS) and the Leapfrog computerized provider order entry (CPOE) data. DATA SOURCES: Secondary hospital data collected by HIMSS Analytics, the Leapfrog Group, and the American Hospital Association from 2005 to 2007. STUDY
DESIGN: Dichotomous measures of full CPOE status were created for the HIMSS and Leapfrog datasets in each year. We assessed internal consistency by calculating the percent of full adopters in a given year that report full CPOE status in subsequent years. We assessed the level of agreement between the two datasets by calculating the κ statistic and McNemar's test. We examined responsiveness by assessing the change in full CPOE status rates, over time, reported by HIMSS and Leapfrog data, respectively. PRINCIPAL
FINDINGS: Findings indicate minimal agreement between the two datasets regarding positive hospital CPOE status, but adequate agreement within a given dataset from year to year. Relative to each other, the HIMSS data tend to overestimate increases in full CPOE status over time, while the Leapfrog data may underestimate year over year increases in national CPOE status.
CONCLUSIONS: Both Leapfrog and HIMSS data have strengths and weaknesses. Those interested in studying outcomes associated with CPOE use or adoption should be aware of the strengths and limitations of the Leapfrog and HIMSS datasets. Future development of a standard definition of CPOE status in hospitals will allow for a more comprehensive validation of these data. © Health Research and Educational Trust.

Mesh:

Year:  2011        PMID: 21449956      PMCID: PMC3207193          DOI: 10.1111/j.1475-6773.2011.01259.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  22 in total

Review 1.  Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

Authors:  Rainu Kaushal; Kaveh G Shojania; David W Bates
Journal:  Arch Intern Med       Date:  2003-06-23

2.  Improving safety with information technology.

Authors:  David W Bates; Atul A Gawande
Journal:  N Engl J Med       Date:  2003-06-19       Impact factor: 91.245

3.  Overcoming barriers to adopting and implementing computerized physician order entry systems in U.S. hospitals.

Authors:  Eric G Poon; David Blumenthal; Tonushree Jaggi; Melissa M Honour; David W Bates; Rainu Kaushal
Journal:  Health Aff (Millwood)       Date:  2004 Jul-Aug       Impact factor: 6.301

4.  Hospital computerized provider order entry adoption and quality: An examination of the United States.

Authors:  Abby Swanson Kazley; Mark L Diana
Journal:  Health Care Manage Rev       Date:  2011 Jan-Mar

5.  Use of electronic health records in U.S. hospitals.

Authors:  Ashish K Jha; Catherine M DesRoches; Eric G Campbell; Karen Donelan; Sowmya R Rao; Timothy G Ferris; Alexandra Shields; Sara Rosenbaum; David Blumenthal
Journal:  N Engl J Med       Date:  2009-03-25       Impact factor: 91.245

Review 6.  Does computerized provider order entry reduce prescribing errors for hospital inpatients? A systematic review.

Authors:  Margaret H Reckmann; Johanna I Westbrook; Yvonne Koh; Connie Lo; Richard O Day
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

7.  Measuring change over time: assessing the usefulness of evaluative instruments.

Authors:  G Guyatt; S Walter; G Norman
Journal:  J Chronic Dis       Date:  1987

8.  The epidemiology of prescribing errors: the potential impact of computerized prescriber order entry.

Authors:  Anne Bobb; Kristine Gleason; Marla Husch; Joe Feinglass; Paul R Yarnold; Gary A Noskin
Journal:  Arch Intern Med       Date:  2004-04-12

9.  Early adopters of computerized physician order entry in hospitals that care for children: a picture of US health care shortly after the Institute of Medicine reports on quality.

Authors:  Ronald J Teufel; Abby Swanson Kazley; William T Basco
Journal:  Clin Pediatr (Phila)       Date:  2009-02-17       Impact factor: 1.168

10.  The relationship between computerized physician order entry and pediatric adverse drug events: a nested matched case-control study.

Authors:  Feliciano Yu; Maribel Salas; Young-Il Kim; Nir Menachemi
Journal:  Pharmacoepidemiol Drug Saf       Date:  2009-08       Impact factor: 2.890

View more
  5 in total

1.  The impact of health information technology adoption by outpatient facilities on pregnancy outcomes.

Authors:  Mary E Deily; Tianyan Hu; Sabrina Terrizzi; Shin-Yi Chou; Chad D Meyerhoefer
Journal:  Health Serv Res       Date:  2012-06-28       Impact factor: 3.402

2.  U.S. hospital efficiency and adoption of health information technology.

Authors:  Natalia A Zhivan; Mark L Diana
Journal:  Health Care Manag Sci       Date:  2011-09-16

3.  Reliability and validity of the American Hospital Association's national longitudinal survey of health information technology adoption.

Authors:  Jordan Everson; Shoou-Yih D Lee; Charles P Friedman
Journal:  J Am Med Inform Assoc       Date:  2014-03-12       Impact factor: 4.497

4.  Medication administration quality and health information technology: a national study of US hospitals.

Authors:  Ajit Appari; Emily K Carian; M Eric Johnson; Denise L Anthony
Journal:  J Am Med Inform Assoc       Date:  2011-10-28       Impact factor: 4.497

5.  Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state.

Authors:  Robert S Rudin; Yunfeng Shi; Shira H Fischer; Paul Shekelle; Alejandro Amill-Rosario; Bethany Shaw; M Susan Ridgely; Cheryl L Damberg
Journal:  JAMIA Open       Date:  2019-03-07
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.