VIEWPOINT Deciphering Harm Measurement Gareth Parry, PhD Amelia Cline, BSPH Don Goldmann, MD I MPROVEMENT IN HEALTH CARE QUALITY AND SAFETY CAN be notable when measurement criteria are clear, evidence is strong, and policy and interventions are focused. Despite this potential, progress in reducing patient harm in hospitals has been slow.1 In an effort to catalyze progress, the Department of Health and Human Services (HHS) is funding a national program, Partnership for Patients (P4P), with the ambitious goal of reducing “preventable hospitalacquired conditions” by 40% by 2013, focused initially on 9 complications.2 Although the program’s goal formally includes only preventable harm, the HHS notes “the Partnership will target all forms of harm” and provide guidance to hospitals for reducing “all-cause harm.” Simultaneously, the list of “serious reportable events” for which the Centers for Medicare & Medicaid Services will modify physician and health care institution payment is increasing. However, delay in defining a measurement strategy for harm has slowed progress and has created confusion. The need to reach consensus on robust, pragmatic measures for assessing and tracking harm rates has therefore become urgent. Harm Measures The terms harm, adverse events, and injuries are often used interchangeably. The Canadian Disclosure Guidelines3 provide particularly useful definitions: harm is “an outcome that negatively affects a patient’s health and/or quality of life”; an adverse event is “an event which results in unintended harm to the patient, and is related to the care and/or services provided to the patient, rather than to the patient’s underlying medical conditions.” Measures of harm can be grouped into those that focus on specific types of harm—the Harvard Medical Practice Study, the Medicare Patient Safety Monitoring System, and the Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators—and those that focus on all-cause harm—the Global Trigger Tool and derivative methods (TABLE). The Harvard Medical Practice Study method used 18 criteria to find information in medical records that leads to “readily identifiable events associated with poor patient outcomes.”5 The Medicare Patient Safety Monitoring System applies algorithms to administrative and medical record data to detect common and serious events This condition-specific approach includes a high proportion of total harms and may provide a reasonable estimate of all-cause harm. The AHRQ is redesigning its Medicare Patient Safety Monitoring System for use as a retrospective surveillance system to track improve©2012 American Medical Association. All rights reserved. ment in safety.6 The agency currently supports Patient Safety Indicators, which mine prespecified International Classification of Diseases, Ninth Revision, Clinical Modification codes in administrative data to detect 19 hospital-acquired conditions.7 Patient Safety Indicators provide reasonably precise estimates for a number of hospital-acquired harms given that AHRQ excludes harms present on admission and provided that the coding is performed accurately. In contrast, the Global Trigger Tool measures all-cause harm, building on studies demonstrating that record review can be expedited by screening for triggers—clues that increase the likelihood that the patient experienced harm. The Global Trigger Tool has reasonable reliability and is more sensitive than other methods used by hospitals to assess all-cause harm.8 However, the tool remains controversial. Critics suggest that it is not appropriate to include harms that are present on admission unless those harms clearly resulted from care during a prior hospital admission. Some contend that hospitals should not be held responsiblefornonpreventableharms;otherscounterthatharms deemed nonpreventable today may be considered preventable in the future, citing substantial reductions in catheter-associated bloodstream infections previously thought unavoidable. Critics contend the Global Trigger Tool inflates harm rates by including nonsevere, temporary harms; on the other hand, the Global Trigger Tool underestimates the true burden of harm because it does not detect diagnostic errors and errors of omission. It also relies on labor-intensive manual chart review. The Office of the Inspector General adapted the Global Trigger Tool for its National Point Prevalence Study, avoiding some of these controversies by excluding harms that were present on admission, calculating separate rates for higher-severity harms, and estimating rates of preventable harms. In a study by Levinson, a random sample of 750 Medicare records yielded a relatively precise estimate (13.5%, 95% CI, 10.9%-16.1%) of national all-cause harm. This approach may be appealing because it provides a sensitive method for estimating harm rates while excluding harms considered beyond the immediate control of the hospital and its clinicians.9 Automated detection that leverages data in electronic health records could in theory supplement or possibly replace manual record review and the mining of administrative data. Automated real-time detection of triggers also could allow caregivers to intervene immediately to prevent or mitigate imminent harm. Identifying Improvement Opportunities Hospital leaders need multiple supplemental streams of information to understand patient safety issues and identify Author Affiliations: Institute for Healthcare Improvement, Cambridge, Massachusetts (Drs Parry and Goldmann and Ms Cline); and Department of Pediatrics, Harvard Medical School (Drs Parry and Goldmann), Boston, Massachusetts. Corresponding Author: Gareth Parry, PhD, Institute for Healthcare Improvement, 20 University Rd, 7th Floor, Cambridge, MA 02138 (gparry@ihi.org). JAMA, May 23/30, 2012—Vol 307, No. 20 Corrected on June 5, 2012 Downloaded From: http://jama.jamanetwork.com/ by a Institute for Healthcare Improvement User on 04/10/2013 2155 VIEWPOINT Table. Summary of Approaches Used to Measure Patient Harm in the United States Outcome Measure Method Summary Features Medicare Department of patient Health and safety Human monitoring Services system Patient Safety Task Force, CMS Method Creator Specified unintended harms, injuries, or loss that is more likely associated with a patient’s interaction with the health care delivery system than from an attendant disease process Full medical records are sent to 2 clinical data abstraction centers and are screened by trained abstractors for specific types of adverse events using an electronic data collection software program (MedQuest) Administrative data are then used to identify specific postdischarge events; eg, readmissions and 30-d postoperative mortality Focuses on events that are likely to be documented and discoverable in the medical record, likely associated with a specific process of care, commonly responsible for serious morbidity or mortality, preventable or repairable; no assessment of preventability or severity PSIs AHRQ Adverse events: resulting from exposure to the health care system, likely amenable to prevention by changes to the system Review by mining administrative data Each of the 19 PSIs include a set of ICD-9-CM codes specified by AHRQ, and these codes are mined from a hospital’s administrative data Rates of each PSI are calculated using AHRQ-defined denominators PSIs are harm-specific and do not comprise an aggregate measure of all-cause harm preventability not formally assessed June 2009 adoption of present-on-admission codes improved specificity Global Trigger Tool Institute for Healthcare Improvement Adverse events: unintended physical injury resulting from or contributed to by medical care that requires additional monitoring, treatment, or hospitalization or that results in death 2-Stage manual medical record review Primary stage: 2 trained clinical providers (eg, nurse, clinical pharmacist) independently review records for 53 specific triggers and any resultant adverse events Disagreements are resolved by consensus Secondary stage: harms detected on primary review are reviewed by a trained physician, who is the final arbiter Severity of harm is rated using the modified NCC MERP scale4 Aggregate measure of all-cause harm Harms related to health care present on admission, temporary harms, and nonpreventable harms are included Office of Inspector General Harm Detection Method Office of Inspector General, adaptation of the Global Trigger Tool Adverse events: harm as a result of medical care or occurring in a health care setting 2-Stage medical record review Primary stage: records are screened for potential adverse events using 5 methods, including a modified version of the Global Trigger Tool’s 53 triggers Secondary stage: full record review by a physician team to confirm harm in flagged records and assessment of the preventability and severity of harms Aggregate measure of all-cause harm Temporary harms, nonpreventable harms, and harms present on admission excluded from overall rate. Abbreviations: AHRQ, Agency for Healthcare Research and Quality; CMS, Centers for Medicare & Medicaid Services; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; NCC MERP, National Coordinating Council for Medical Errors Reporting and Prevention; PSI, Patient Safety Indicator. improvement opportunities. For example, voluntary reporting supplements formal assessment of harm rates by providing valuable information regarding near misses and failureprone systems, while promoting a culture of safety. Morbidity and mortality reviews, executive walk-rounds, root-cause analyses, and failure modes and effects analyses can yield important clues to improving hazardous systems. Conclusions The Centers for Medicare & Medicaid Services and the AHRQ are well positioned to speedily clarify which measures and methods can most effectively evaluate progress toward the P4P goals. Until then, despite its imperfections, the Office of the Inspector General approach may be the best available method for determining national harm trends. While awaiting consensus, individual hospitals can apply a portfolio of measurement methods, including those outlined in this Viewpoint, according to their own safety priorities. Condition-specific measures (including Patient Safety Indicators and real-time surveillance of specific harms) are valuable for within-organization improvement. However, hospitals will need to address multiple types of harm before substantial improvement in all-cause harm rates will be observed. Delay in measuring the effect of best practices on harm rates will postpone the day when the nation can celebrate significant improvement in patient safety. 2156 JAMA, May 23/30, 2012—Vol 307, No. 20 Corrected on June 5, 2012 Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported. Disclaimer: The Institute for Healthcare Improvement (IHI) developed the Global Trigger Tool and provides training materials at no charge. Additional Contributions: We thank Carol Haraden, PhD, and Frank Federico, RPH, both of the IHI, for their valuable comments and suggestions on this article. Neither were compensated for their contribution. REFERENCES 1. Landrigan CP, Parry GJ, Bones CB, Hackbarth AD, Goldmann DA, Sharek PJ. Temporal trends in rates of patient harm resulting from medical care. N Engl J Med. 2010;363(22):2124-2134. 2. Partnership for patients: better care, lower costs. healthcare.gov. http://www .healthcare.gov/compare/partnership-for-patients. Updated December 14, 2011. Accessed March 15, 2012. 3. Disclosure Working Group. Canadian Disclosure Guidelines. Edmonton, Alberta: Canadian Patient Safety Institute; 2008. 4. Medication errors council revises and expands index for categorizing errors: definitions of medication errors brroadened [news release]. National Cooridinating Council for Medication Error Reporting and Prevention; June 12, 2001. http://www .nccmerp.org/press/press2001-06-12.html. Accessed May 2, 2012. 5. Brennan TA, Leape LL, Laird NM, et al. Incidence of adverse events and negligence in hospitalized patients. N Engl J Med. 1991;324(6):370-376. 6. Metersky ML, Hunt DR, Kliman R, et al. Racial disparities in the frequency of patient safety events. Med Care. 2011;49(5):504-510. 7. AHRQ Quality Indicators Toolkit for Hospitals. 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