Dianne Conrad DNP, RN, FNP-BC Cadillac Family Physicians, PC Cadillac, MI July 21, 2011

Similar documents
HIMSS 2011 Implementation of Standardized Terminologies Survey Results

Terminology in Healthcare and

Informatics Essentials

Standardized Terminologies, Information Technology, Objectives. Trendssssss!

Nurses Attitude and Barriers toward Utilization of Standardized Nursing Language in Sokoto State, Nigeria

HT 2500D Health Information Technology Practicum

American Academy of Emergency Nurse Practitioners 2015 Membership Survey

Care360 EHR Frequently Asked Questions

Foundational Informatics: INFORMATICS COMPETENCIES

Mutual enhancement of diverse terminologies

Information systems with electronic

SNOMED CT AND ICD-10-BE: TWO OF A KIND?

2016 Survey of Michigan Nurses

Appendix A WORK PROCESS SCHEDULE AND RELATED INSTRUCTION OUTLINE. Health Information Management (HIM) Professional Fee Coder Apprenticeship

SNOMED CT for Nursing

Measure #138: Melanoma: Coordination of Care National Quality Strategy Domain: Communication and Care Coordination

Promoting Safe Nursing Care by Bringing Visibility to the Disciplinary Aspects of Interdisciplinary Care

Development of Comprehensive web based learning Nursing Process Program on Linked NANDA, NOC and NIC

Eligibility. Program Structure and Process for Receiving Incentives

Exploring the challenges and possibilities of data. a guide to nursing and health care informatics

Challenges for National Large Laboratories to Ensure Implementation of ELR Meaningful Use

Case-mix Analysis Across Patient Populations and Boundaries: A Refined Classification System

Nursing Knowledge: Big Data Research for Transforming Healthcare HIMSS NI Nurse Executive Workgroup January 9, 2014

U.S. Healthcare Problem

2017 National Survey of Canadian Nurses: Use of Digital Health Technology in Practice Final Executive Report May, 2017

Decision Support Project Team. Fall 2010

Improving Nursing Workflow Efficiency & Nurses Knowledge & Attitude Toward Computers. WellStar Health System. Background

Objectives. Preparing Practice Scholars: Implementing Research in the DNP Curriculum. Introduction

Hospital Inpatient Quality Reporting (IQR) Program

Clinical Care Classification (CCC) System Seminar University of Eastern Finland. Kuopio Campus, Finland June 2, 2015

Why is it so important to have ordering principles for primary care data and information?

Preparing for a New Era in Health Care

Measure #137 (NQF 0650): Melanoma: Continuity of Care Recall System National Quality Strategy Domain: Communication and Care Coordination

C C. Clinical Care Classification System. Essence of Care. evidence-based practice. Nationwide. Health Information Technology Standard For Nursing

Appendix A WORK PROCESS SCHEDULE AND RELATED INSTRUCTION OUTLINE. Clinical Documentation Improvement Specialist Apprenticeship

The Patient Protection and Affordable Care Act Summary of Key Health Information Technology Provisions June 1, 2010

Standardized Terminologies Used in the Learning Health System

A McKesson Perspective: ICD-10-CM/PCS

Risk Adjusted Diagnosis Coding:

Full Solution Logo. Perioperative Documentation Solution

ecw and NextGen MEETING MU REQUIREMENTS

Predicting Transitions in the Nursing Workforce: Professional Transitions from LPN to RN

NCVHS - HIPAA Transactions and the National Health Information Infrastructure

HIPAA and EMR Synergies

Measure #137 (NQF 0650): Melanoma: Continuity of Care Recall System National Quality Strategy Domain: Communication and Care Coordination

3M Health Information Systems. The standard for yesterday, today and tomorrow: 3M All Patient Refined DRGs

Educational Innovation Brief: Educating Graduate Nursing Students on Value Based Purchasing

AHA Survey on Hospitals Ability to Meet Meaningful Use Requirements of the Medicare and Medicaid Electronic Health Records Incentive Programs

Appendix A WORK PROCESS SCHEDULE AND RELATED INSTRUCTION OUTLINE

Russell B Leftwich, MD

CMS-0044-P; Proposed Rule: Medicare and Medicaid Programs; Electronic Health Record Incentive Program Stage 2

2011 Electronic Prescribing Incentive Program

Population and Sampling Specifications

Unleash Healthcare Information Technology for Successful Sites, Investigators and Subjects

Quality ID #137 (NQF 0650): Melanoma: Continuity of Care Recall System National Quality Strategy Domain: Communication and Care Coordination

Findings Brief. NC Rural Health Research Program

HIMSS Davies Award Enterprise Application. --- Cover Page --- IT Projects and Operations Consultant Submitter s Address: and whenever possible

Copyright All Rights Reserved.

The development of an international nursing documentation standard The Nursing Perspective E-health Summit, Bern Wolter Paans, PhD, RN.

Quality Data Model December 2012

SNOMED CT AND 3M HDD: THE SUCCESSFUL IMPLEMENTATION STRATEGY

ARRA HEALTH IT INCENTIVES - UNCERTAINTIES ABOUT "MEANINGFUL USE"

The American Recovery and Reinvestment Act: Incentivizing Investments in Healthcare

The Transition to Version 5010 and ICD-10

Guidance for Developing Payment Models for COMPASS Collaborative Care Management for Depression and Diabetes and/or Cardiovascular Disease

Health Informatics. Health Informatics professionals treat technology as a tool that helps patients and healthcare professionals.

Measuring Comprehensiveness of Primary Care: Past, Present, and Future

Comparative Effectiveness Research and Patient Centered Outcomes Research in Public Health Settings: Design, Analysis, and Funding Considerations

American Recovery and Reinvestment Act What s in it for MN Rural Health?

9/26/2014. Preceptors and Students: A Discussion Larlene Dunsmuir James Sims. Problem. Foundation

Quanum Electronic Health Record Frequently Asked Questions

Electronic Health Records and Meaningful Use

Seema Verma Centers for Medicare & Medicaid Services Department of Health and Human Services Attn: CMS-1696-P P.O. Box 8016 Baltimore, MD

ARRA New Opportunities for Community Mental Health

Are physicians ready for macra/qpp?

Useful Applications for SNOMED CT

HCAHPS: Background and Significance Evidenced Based Recommendations

9/28/2011. Learning Agenda. Meaningful Use and why it s here. Meaningful Use Rules of Participation. Categories, Objectives and Thresholds

The Project and Vision

Using Data for Proactive Patient Population Management

Using Data Science to Influence Population Health

Survey of Nurses 2015

Physician Cultural Competency Independent Training Module for Simply Healthcare, Better Health and, Clear Health Alliance Providers

PROFESSIONAL MEDICAL CODING AND BILLING WITH APPLIED PCS LEARNING OBJECTIVES

Original Article Rural generalist nurses perceptions of the effectiveness of their therapeutic interventions for patients with mental illness

Medicare & Medicaid EHR Incentive Program. Betsy L. Thompson, MD, DrPH EHR Summit October 4, 2010

LIFE SCIENCES CONTENT

Analysis of VA Health Care Utilization among Operation Enduring Freedom (OEF), Operation Iraqi Freedom (OIF), and Operation New Dawn (OND) Veterans

New Problem List Dictionary (IMO) Workflow Recommendations

Community Health Workers: An ONA Position Statement April 2013

Patricia C. Dykes PhD, RN October 8, 2013

Eligible Professionals (EP) Meaningful Use Final Objectives and Measures for Stage 1, 2011

SEPTEMBER O NE-YEAR S URVEY SURVEY REPORT. Bachelor s Degree in Nursing Program

Use of standardized nursing terminologies in electronic health records for oncology care: the impact of NANDA-I, NOC, and NIC

Developing standardised terminologies to support nursing practice

Meaningful Use Hello Health v7 Guide for Eligible Professionals. Stage 1

The Influence of Health Policy on Clinical Practice. Dr. Kim Kuebler, DNP, APRN, ANP-BC Multiple Chronic Conditions Resource Center

ORIGINAL STUDIES. Participants: 100 medical directors (50% response rate).

Test Procedure for (c) Maintain up-to-date problem list

Outpatient Hospital Facilities

Transcription:

Dianne Conrad DNP, RN, FNP-BC Cadillac Family Physicians, PC Cadillac, MI July 21, 2011

At the completion of the session, the participants will be able to: Identify standardized nursing languages and their role in describing nursing care. Describe the barriers to using standardized nursing language in the electronic health record in ambulatory care practice. Review strategies to address barriers in using standardized nursing language in the electronic health record in ambulatory care practice.

Future of Nursing Report IOM and Robert Wood Johnson, 2011 Importance of nurse practitioners as primary care providers Electronic health records and other technological tools for management of complex health information

Electronic record of health-related information on an individual that can be gathered, managed, and consulted by authorized clinicians and staff within a health care organization (Morrisey, Horowitz and Haughom, 2008) Cost: especially with small ambulatory care practices implementing an electronic record. Predicted breakeven 3-13 years, greater financial gains with interoperability of systems on a national level (metaanalysis, AHRQ, 2006)

Health Information Technology component of the American Recovery & Reinvestment Act, commonly know as the Stimulus Act Government leadership and monetary incentives for implementation and standardization of health information technology NPs are eligible providers for Medicaid portion of incentives for meaningful use

International Classification of Diseases, now ICD-10, standardized medical diagnoses First edition, Internal List of Causes of Death adopted in 1893 First nursing standardized language in 1973 North American Nursing Diagnosis Association (NANDA) Definitions: Common language, readily understood by all nurses to describe care (Keenan, 1999) Common terminology used to describe assessments, interventions, and outcomes related to the documentation of nursing care. Standardizing the language of care with commonly accepted definitions of terms allows a discipline to use an electronic documentation system. (Rutherford, 2008) Since 1973, ANA formally recognized 13 standardized nursing languages, one has been retired 2 are Minimum Data Sets, 7 are nursing specific, 2 are interdisciplinary (examples: NANDA, NIC, NOC, Omaha System, CCC, Perioperative Nursing Data Set)

Reimbursement for NP practice is tied to Medical Standardized Language with use of ICD-9 and Current Procedure Terminology (CPT) codes Data is discreet: Recognized at the national level Able to be captured electronically Can be analyzed for medical research/outcomes Used to generate data for reimbursement Nursing language: Not standardized Not easily available to capture electronically in ambulatory electronic records (EHRs) for research and outcomes data Not reimbursed

Barriers to use of Standardized Nursing Language (SNL) to reflect full scope of nursing practice, particularly in the electronic health record Three categories of barriers: 1. System Barriers 2. EHR Operational Barriers 3. NP User Barriers

Nurse Practitioner Practice Medical Assessment, Diagnoses, Interventions Nursing Assessment, Diagnoses, Interventions System Barriers EHR Implementation & Use Cost Availability Time to Document Standardized Medical Language in EHR Medical Diagnoses-ICD-9 Interventions-CPT Codes Outcomes-Quality Indicators NP User Barriers Perceived Value of Using Nursing Language, Reimbursement -Familiarity with Standardized Nursing Language Computer Confidence/Competence EHR Operational Barriers Incorporation of SNL in EHR Mapping SNL in Reference Terminologies Ambulatory EHR Access to Terminologies (ie SNOMED-CT) Reporting Capability of EHR Quality Outcomes Standardized Nursing Language in EHR Nursing Diagnoses Nursing Interventions Nursing Outcomes Meaningful Use Reporting/Research Quality Measures, Pay for Performance

Competence/Confidence: Competencies not defined until 2002 (Hart, 2008) Surveys of NP users utilize computers at work but uncomfortable with competency (Gaumer, et al., 2007) Perceived Value/Familiarity with SNL: Thede & Schwiran (2011) online survey of 1268 RNs. Over ½ had neither knowledge of, nor experience with 8 of 12 standardized languages. NANDA was the most recognized Descriptive studies use of SNL with student NPs (O Connor, et al, 2000) Keenan et al. (2003) identified common nursing diagnoses, interventions and outcomes (NNN) by adult NPs

Lack of Single Recognized Standard Language: No single terminology can provide a comprehensive coverage for the domain of nursing (Saranto & Kinnunen (2009) Lack of Reimbursement: NP practice only reimbursed for medical dx with ICD-9 codes, interventions with CPT codes, able to assess impact on patient outcomes and measure financial status of a practice (Saba & Taylor, 2007) Lack of Data: NP perceptions on value of documenting nursing practice with SNL in addition to medical practice, particularly in the EHR.

Professional nursing practice process understanding Information systems Technology Policy, regulation and standards Human factors Technology adoption System utilization Professional nursing practice Androwich, I.M., Bickford, C.S., Button, P. J., Hunter, K. Murphy, J., & Sensmeier, J. (2003). Clinical Information Systems: A Framework for Reaching the Vision. Washington, DC: American Nurses Publishing.

Figure 2. Organizing Framework for Clinical Information Systems: Information Flow and Concept Relationships Data and Information about Professional Nursing Practice System Utilization determines and impacts data and information derived from the system Informs influences scope and depth Defines/enables definition of Functional requirements Information System Technology Adoption Provides means for/enables functional requirements influences degree of adoption and use - Human Factors Professional Nursing Practice Process Understanding Technology Adapted from: Androwich, I.M., et al., (2003). Clinical Information Systems: A Framework for Reaching the Vision. Washington D.C.: American Nurses Publishing

Identify the perceived user barriers to documentation of nursing practice utilizing standardized nursing language in the electronic medical record by ambulatory care nurse practitioners

Descriptive study of NP attitudes toward documentation Sample: Cross-section of 1997 ambulatory NPs who are members of American Academy of Nurse Practitioners from across the nation Operational Definition of Ambulatory Care NP: AANP members who do not practice in a hospital in-patient or long term health care facility

1. What are the perceptions of the ambulatory care nurse practitioner regarding documentation of nursing practice in the medical record? 2. Ambulatory NPs are most familiar with which standardized nursing language? 3. Do ambulatory care NPs use standardized nursing language? 4. What are the perceived barriers to using standardized nursing language in EHR? 5. Is there a relationship between perceptions regarding nursing documentation related to age of NP, years of NP practice, geographic location, size of population served, practice setting, level of education and recent formal or recent continuing education in informatics?

Survey Instrument: Developed by researcher Questions to address content areas of NP user barriers Perceptions regarding nursing documentation in the medical record The level of knowledge and use of standardized nursing language Perceived barriers to using standardized nursing language in EHR Demographics and characteristics of the sample Validity of Instrument: Survey was reviewed by expert panel of informatics nurses to determine appropriateness of each survey question to each of the content areas. Experts assessed areas of content in the survey questions.

Informed Consent: Madonna IRB obtained prior to data collection. Cover page with description of study and information for informed consent. Completion and return of survey = responder s consent Survey replicated online with Skylight survey system, respondents completed survey with URL access, researcher entered data with another cohort created on Skylight SPSS version 18.0 for descriptive statistics of sample. Spearman s rho used for correlational testing of demographics to responses

Total of 28,600 AANP members, 12.5% excluded = population of 25,000 1997 surveys mailed Margin of error 5% with 99% confidence interval calculation, 703 usable surveys with 35% return 107 returned online, 596 paper surveys returned in stamped envelope, (reminder post card was sent one week after initial survey mailed)

Characteristics of Sample Characteristic (Total n (%) Responding) Gender (n = 696) Female 625 88.9 Male 71 10.1 Age (n = 697) 20-29 16 2.3 30-39 114 16.2 40-39 162 23.0 50-59 305 43.4 >60 100 14.2 Years of NP Practice (n = 692) 0-10 327 46.5 11-20 267 38.0 > 21 98 14.0 Highest Level of Nursing Education (n = 692) Bachelor s Degree in Nursing 17 2.4 Master s Degree in Nursing 616 87.6 PhD in Nursing 13 1.9 Doctor of Nursing Practice DNP 34 4.9 Other Doctorate in Nursing 12 1.7

Demographic n (%) Primary Practice Setting (n = 694) Physician s Office 275 39.1 Outpatient Clinic 122 17.3 Other 102 14.5 Federally Qualified Health Clinic (FQHC) 47 6.7 Community Based Primary Care 41 5.9 Nurse Managed Clinic 30 4.3 Academic Clinic 27 3.9 Retail Clinic 26 3.7 In-Patient 20 2.84 Long Term Care Facility 3 0.4 Practice and Location Demographics Secondary Practice Setting (n = 279) Other 83 11.8 In-Patient 52 7.4 Physician s Office 43 6.12 Outpatient Clinic 29 4.1 Community Based Primary Care 18 2.6 Academic Clinic 14 2.0 Retail 13 1.9 Long Term Care Facility 13 1.9 Federally Qualified Health Clinic (FQHC) 8 1.1 Nurse Managed Clinic 6 0.9 Location (n = 701) Southeast 174 24.7 New England 40 5.7 MidEast 109 15.5 Great Lakes 112 15.9 Plains 73 10.4 Southwest 82 11.7 Rocky Mountains 34 4.8 Far West 77 11.0 Size of Population (n = 697) Urban (>50,000) 341 48.5 Suburban (20,000-49,000) 171 24.3 Rural (<20,000) 185 26.3

Standardized Nursing Language NANDA (North American Nursing Diagnosis Association) NIC (Nursing Interventions Classification) NOC (Nursing Outcomes Classification) Never heard of %/(n) 27.4 (193) 53.49 (376) 51.92 (365) Heard of, but never used %/(n) 19.1 (134) 23.0 (162) 26.2 (184) Heard of and have used in past %/(n) 44.7 (314) 19.8 (139) 17.4 (122) Currently use %/(n) 7.7 (54) 2.3 (16) 2.8 (20) Results: Question 2 Ambulatory NPs are most familiar with which standardized nursing language? Omaha System 65.2 (458) CCC (Clinical Care Classification) SNOMED-CT (Systematized Nomenclature of Medicine-- Clinical Terms) 73.1 (514) 82.4 (579) 25.0 (176) 19.0 (134) 12.4 (87) 7.4 (52) 4.1 (29) 2.7 (19) 1.0 (4) 1.0 (6) 1.0 (5) Results: Question 3 Do ambulatory care NPs use standardized nursing language? ICNP (International Classification of Nursing Practice) 75.1 (528) 17.2 (121) 4.3 (30) 1.1 (8)

Nursing Care Omitted from n (%) Documentation due to: No easy way to document nursing 181 25.8 care No reimbursement for nursing 159 22.6 documentation Lack of time to document 145 20.6 Barriers to Using Standardized Nursing Language in the EHR Lack of availability of SNL in EHR 273 38.9 Results: Question 4 What are the perceived barriers to using standardized nursing language in EHR? Lack of familiarity of SNL 229 32.6 I don t think SNL is important to my practice Difficulty in use of SNL in the EHR (i.e. lack of searchable databases, dropdown lists) 214 30.4 201 28.6

Not significantly correlated to any of the demographics of the sample including gender, age, years of NP practice, level of education or population size.

Barriers in Relation to Clinical Information Systems Framework Data and Information About Professional Nursing Practice System Utilization Technology Adoption Professional Practice Understanding Barriers Human (User) Factors Barriers Information System/Technology Barriers Policy/Standards Regulation Barriers Value of nursing as part of NP practice Proficiency with computers/ehrs Lack of ability to document/retrieve nursing as discreet data (in the form of SNL) Lack of reimbursement for nursing care Value of including nursing care in documentation Value of SNL to represent nursing practice Familiarity with SNL Understanding how data is documented/collected in EHRs Lack of availability of SNL in EHR Lack of time to document Difficulty in using SNL in the EHR

Value of nursing as part of NP practice/value of including nursing care in documentation Lack of reimbursement for nursing care versus medical care Effect of nursing practice on patient outcomes remains invisible as discreet nursing elements are not available for reporting and research Lack of data ultimately affects policy regarding reimbursement for quality, cost-effective care by NPs. Familiarity with SNL /Value of SNL to represent NP practice Education at all levels of nursing: basic and continuing education Consensus on data sets to represent practice to gain NP buy-in (Keenan, 2003)

Lack of Time to Document Efficiencies of computers to document/aggregate data, learning curve with new technology Proficiency with Computers/Use of EHR Over 63% of the NP respondents stated that they currently use an EHR in their practice and over half are confident in using the EHR to document patient care Understanding how data is documented/collected in EHRs Documentation and retrieval of discreet data elements in the EHR. Collection of nursing data that promotes evidence-based practice by clearly identifying the effect of nursing on patient outcomes

Lack of Ability to document/retrieve data as SNL Lack of Availability of SNL in EHR Difficulty of using SNL in EHR Building a standardized information system so data can be retrieved through reference terminologies such as SNOMED-CT (Systematized Nomenclature of Medicine-Clinical Terms) and INCP (International Classification for Nursing Practice ) If the data are not modeled, designed, and built into the CIS correctly, useful data will not be retrievable for analyses, much less for use in clinical practice (Lang, 2008)

NPs must continue their education to become familiar with their EHR s ability to communicate the full scope of their practice. NPs must also advocate for mechanisms within their EHR product to access SNL through reference terminologies such as SNOMED-CT.

If NPs can show evidence based care that contributes to improved patient outcomes with their unique practice, policy can be changed regarding reimbursement for nursing as well as medical care. With the use of SNL to reflect the nursing portion of NP practice alongside the standardized medical coding currently incorporated in EHRs, NPs have the tools to retrieve the data needed in an electronic format.

Until these barriers are addressed and discreet data in the form of standardized nursing language is available and utilized in the electronic health record, the impact of the nurse practitioner s care will be unidentifiable for outcomes reporting. Identifying and informing the nurse practitioner on these barriers will equip the NP to participate in selection and development of EHR products that address the ability to document and report the full scope of their practice using both medical and nursing standardized language.

If we cannot name it, we cannot control it, practice it, teach it, finance it, or put it into public policy -Norma Lang (Clark & Lang, 1992, p. 109)

American Academy of Nurse Practitioners (2010). Nurse practitioner facts. Retrieved from: http://aanp.org/nr/rdonlyres/54b71b02-d4db-4a53-9fa6-23dda0edd6fc/0/npfacts2010.pdf#search=%22np%20facts%22 Androwich, I.M., Bickford, C.S., Button, P. J., Hunter, K. Murphy, J., & Sensmeier, J. (2003). Clinical Information Systems: A Framework for Reaching the Vision. Washington, DC: American Nurses Publishing. Centers for Medicare & Medicaid Services (2009). CMS proposes requirements for the electronic health records (EHR) Medicare incentive Program. Retrieved from: http://www.cms.hhs.gov/apps/media/press/factsheet.asp?counter=3563 Clark, J., & Lang, N. (1992). Nursing's next advance: An internal classification for nursing practice. International Nursing Review, 39(4), 109-111, 128. Institute of Medicine, (2011). The Future of Nursing: Leading Change, Advancing Health. Washington, DC: The National Academies Press. Keenan, G. (1999). Use of standardized nursing language will make nursing visible. Michigan Nurse, 72(2), 12-13. Keenan, G., Stocker, J., Barkauskas, V., Treder, M., & Heath, C. (2003). Toward collecting a standardized nursing data set across the continuum: Case of adult care nurse practitioner setting. Outcomes Management, 7(3), 113-120. Lang, N. (2008). The promise of simultaneous transformation of practice and research with the use of clinical information systems. Nursing Outlook, 56, 232-236. doi: 10.1016/j.outlook.2008.06.011 Morrissey J., Horowitz J., & Haughom J. (2008). The National Health Alliance for Health Information Technology report to the Office of the National Coordinator for Health Information Technology on defining key health information technology terms. Retrieved from: http://www.nahit.org/images/pdfs/hittermsfinalreport_051508.pdf. O Connor, N.A., Hameister, A.D., & Kershaw, T. (2000b). Application of standardized nursing language to describe adult nurse practitioner practice. Nursing Diagnosis, 11(3), 109-120. Rutherford, M., (2008). Standardized nursing language: what does it mean for nursing practice? TheOnline Journal of Issues in Nursing, 13(1). Saba, V.K. & Taylor, S.L. (2007). Moving past theory: Use of a standardized, coded nursing terminology to enhance nursing visibility. Computers, Informatics, Nursing, 25(6), 324-331. Saranto, K., & Kinnunen, U. (2009). Evaluating nursing documentation-research designs and methods: Systematic review. Journal of Advanced Nursing, 65(3), 464-476. Thede, L., Schwiran, P. (2011). Informatics: The standardized nursing terminologies: A national survey of nurses experiences and attitudes. The Online Journal of Issues in Nursing, 16(2). doi: 10.3912/OJIN.Vol16No02InfoCol01