Improving the informational continuity of care in diabetes mellitus treatment with a nationwide Shared EHR system: Estimates from Austrian claims data

PURPOSE Shared Electronic Health Record (EHR) systems, which provide a health information exchange (HIE) within a community of care, were found to be a key enabler of informational continuity of diabetes mellitus (DM) care. Quantitative analyses of the actual contribution of Shared EHR systems to informational continuity of care are rare. The goal of this study was to quantitatively analyze (i) the degree of fragmentation of DM care in Austria as an indicator for the need for HIE, and (ii) the quantity of information (i.e. number of documents) from Austrian DM patients that would be made available by a nationwide Shared EHR system for HIE. METHODS Our analyses are based on social security claims data of 7.9 million Austrians from 2006 and 2007. DM patients were identified through medication data and inpatient diagnoses. The degree of fragmentation was determined by the number of different healthcare providers per patient. The amount of information that would be made available by a nationwide Shared EHR system was estimated by the number of documents that would have been available to a healthcare provider if he had access to information on the patient's visits to any of the other healthcare providers. As a reference value we determined the number of locally available documents that would have originated from the patient's visits to the healthcare provider himself. We performed our analysis for two types of systems: (i) a "comprehensive" Shared EHR system (SEHRS), where each visit of a patient results in a single document (progress note), and (ii) the Austrian ELGA system, which allows four specific document types to be shared. RESULTS 391,630 DM patients were identified, corresponding to 4.7% of the Austrian population. More than 90% of the patients received health services from more than one healthcare provider in one year. Both, the SEHRS as well as ELGA would have multiplied the available information during a patient visit in comparison to an isolated local EHR system; the median ratio of external to local medical documents was between 1:1 for a typical visit at a primary care provider (SEHRS as well as ELGA) and 39:1 (SEHRS) respectively 28:1 (ELGA) for a typical visit at a hospital. CONCLUSIONS Due to the high degree of care fragmentation, there is an obvious need for HIE for Austrian DM patients. Both, the SEHRS as well as ELGA could provide a substantial contribution to informational continuity of care in Austrian DM treatment. Hospitals and specialists would have gained the most amount of external information, primary care providers and pharmacies would have at least doubled their available information. Despite being the most important potential feeders of a national Shared EHR system according to our analysis, primary care providers will not tap their full corresponding potential under the current implementation scenario of ELGA.

[1]  R. Beaser,et al.  Coordinated primary and specialty care for type 2 diabetes mellitus, guidelines, and systems: an educational needs assessment. , 2011, Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists.

[2]  C. Scott,et al.  Physician informational needs in providing nutritional guidance to patients. , 2004, Family medicine.

[3]  Elske Ammenwerth,et al.  Clinical Situations and Information Needs of Physicians During Treatment of Diabetes Mellitus Patients: a Triangulation Study , 2011, MIE.

[4]  Steven R. Simon,et al.  Care transitions as opportunities for clinicians to use data exchange services: how often do they occur? , 2011, J. Am. Medical Informatics Assoc..

[5]  Gabriella Guasticchi,et al.  Can we use the pharmacy data to estimate the prevalence of chronic conditions? a comparison of multiple data sources , 2011, BMC public health.

[6]  Michael D Cabana,et al.  Does continuity of care improve patient outcomes? , 2004, The Journal of family practice.

[7]  W Gall,et al.  The Strategic Approach of Managing Healthcare Data Exchange in Austria , 2004, Methods of Information in Medicine.

[8]  Walter Gall,et al.  Fragmentation of diabetes treatment in Austria - an indicator for the need for shared electronic health record systems. , 2012, Studies in health technology and informatics.

[9]  Elin C. Lehnbom,et al.  A Qualitative Study of Swedes' Opinions about Shared Electronic Health Records , 2013, MedInfo.

[10]  A. O'Malley Tapping the unmet potential of health information technology. , 2011, The New England journal of medicine.

[11]  John F. Hurdle,et al.  Measuring diagnoses: ICD code accuracy. , 2005, Health services research.

[12]  C. Adair,et al.  Continuity of care: a multidisciplinary review , 2003, BMJ : British Medical Journal.

[13]  A. Kollmann,et al.  The Electronic Health Record in Austria: a strong network between health care and patients , 2012, European Surgery.

[14]  Marino Menozzi,et al.  Information access at the point of care: what can we learn for designing a mobile CPR system? , 2004, Int. J. Medical Informatics.

[15]  S. Kremers,et al.  Perceived facilitators and barriers in diabetes care: a qualitative study among health care professionals in the Netherlands , 2013, BMC Family Practice.

[16]  David W. Bates,et al.  Let the left hand know what the right is doing: a vision for care coordination and electronic health records , 2014, J. Am. Medical Informatics Assoc..

[17]  Vicki Er Parker,et al.  Diabetes information technology in UK diabetes secondary care: a snapshot: , 2013 .

[18]  Vimla L. Patel,et al.  Characterizing Information Needs and Cognitive Processes During CIS Use , 2003, AMIA.

[19]  D. Baker,et al.  Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. , 2007, JAMA.

[20]  J. Westfall,et al.  Missing clinical information during primary care visits. , 2005, JAMA.

[21]  Rachael McKendry,et al.  Defusing the Confusion: Concepts and Measures of Continuity of Healthcare , 2002 .

[22]  Hoangmai H Pham,et al.  Care patterns in Medicare and their implications for pay for performance. , 2007, The New England journal of medicine.

[23]  Johannes C. van der Wouden,et al.  Shared care for diabetes: supporting communication between primary and secondary care , 1999, Int. J. Medical Informatics.

[24]  Chi-Chen Chen,et al.  Does continuity of care matter in a health care system that lacks referral arrangements? , 2011, Health policy and planning.

[25]  G. Joshy,et al.  Diabetes information systems: a rapidly emerging support for diabetes surveillance and care. , 2006, Diabetes technology & therapeutics.

[26]  Terry Anthony Byrd,et al.  Electronic data interchange usage in China's healthcare organizations: the case of Beijing's hospitals , 2004, International Journal of Information Management.

[27]  George Hripcsak,et al.  Emergency Department Access to a Longitudinal Medical Record , 2007, J. Am. Medical Informatics Assoc..

[28]  Manisha Mantri,et al.  Electronic Health Record: Standards, Coding Systems, Frameworks, and Infrastructures , 2012 .

[29]  Thomas Waldhoer,et al.  Incidence and time trend of type 1 and type 2 diabetes in Austrian children 1999-2007. , 2009, The Journal of pediatrics.

[30]  Jim Bellows,et al.  Coordination of Diabetes Care in Four Delivery Models Using an Electronic Health Record , 2009, Medical care.

[31]  C. Schoen,et al.  In chronic condition: experiences of patients with complex health care needs, in eight countries, 2008. , 2008, Health affairs.

[32]  Elske Ammenwerth,et al.  A nationwide computerized patient medication history: Evaluation of the Austrian pilot project "e-Medikation" , 2014, Int. J. Medical Informatics.

[33]  Elske Ammenwerth,et al.  The EHR-ARCHE project: Satisfying clinical information needs in a Shared Electronic Health Record System based on IHE XDS and Archetypes☆ , 2013, Int. J. Medical Informatics.

[34]  Alberto Moreno-Conde,et al.  Improving Integrated Care in Chronic Kidney Failure Patients with a Standard-Based Interoperability Framework , 2014, MIE.

[35]  Paula Asikainen,et al.  The outcomes of regional healthcare information systems in health care: A review of the research literature , 2009, Int. J. Medical Informatics.

[36]  Carl van Walraven,et al.  Information exchange among physicians caring for the same patient in the community , 2008, Canadian Medical Association Journal.