Abstract
Peripheral neuropathy is a common neurologic disorder, affecting 2% to 8% of the population1–3 in population-based studies with confirmation by neurologist examination. These prevalence numbers are remarkably stable across developed countries.4 In 1999, 8.6% of Medicare beneficiaries had neuropathy as a primary or secondary diagnosis, and the cost of treatment was estimated at $3.5 billion (Consumer Price Index adjusted to 2013 $4.9 billion), which did not include outpatient medications.5 Peripheral neuropathy has many causes and varies in regard to its clinical manifestations and severity. Distal symmetric polyneuropathy (DSP) is the most common pattern of peripheral neuropathy generally and the most common phenotype of neuropathy due to diabetes. Reported prevalence rates of DSP among diabetic patients range from 15% to 37% across large population-based studies, and the prevalence among those with impaired glucose tolerance has been reported to be 11%.4,6 DSP can result in weakness, sensory loss, pain, autonomic dysfunction, gait impairment, falls, disability, and impaired quality of life.7,8
Peripheral neuropathy is a common neurologic disorder, affecting 2% to 8% of the population1–3 in population-based studies with confirmation by neurologist examination. These prevalence numbers are remarkably stable across developed countries.4 In 1999, 8.6% of Medicare beneficiaries had neuropathy as a primary or secondary diagnosis, and the cost of treatment was estimated at $3.5 billion (Consumer Price Index adjusted to 2013 $4.9 billion), which did not include outpatient medications.5 Peripheral neuropathy has many causes and varies in regard to its clinical manifestations and severity. Distal symmetric polyneuropathy (DSP) is the most common pattern of peripheral neuropathy generally and the most common phenotype of neuropathy due to diabetes. Reported prevalence rates of DSP among diabetic patients range from 15% to 37% across large population-based studies, and the prevalence among those with impaired glucose tolerance has been reported to be 11%.4,6 DSP can result in weakness, sensory loss, pain, autonomic dysfunction, gait impairment, falls, disability, and impaired quality of life.7,8
Early identification and treatment of DSP is important to prevent or delay irreversible nerve damage. In evaluating a patient with DSP, at a minimum the clinical pattern of involvement, nerve conduction studies, and laboratory tests should be obtained to diagnose the condition and to identify potential treatable etiologies.3,9 Recent studies have demonstrated that adequate diagnostic studies are often not performed in patients with peripheral neuropathy.8
Neuropathy was selected as the topic because it is a clinical priority for neurology, has a high burden of illness, has demonstrated gaps in care with room for improvement, and has unexplained variations in care. The scope of neuropathy was narrowed down to DSP because the majority of the available evidence that would meet a gap in care focused on DSP and because of the prevalence of DSP. The American Academy of Neurology (AAN) DSP Measures were chosen as the process measures that, if properly implemented, would have the potential to improve care, health outcomes, and quality of life for individuals with DSP. DSP measure development was also supported by the move toward quality improvement by medical professional societies and patient advocacy groups with a special interest in peripheral neuropathy, including the American Association of Neuromuscular & Electrodiagnostic Medicine (AANEM), American Academy of Physical Medicine and Rehabilitation (AAPM&R), American Diabetes Association, and The Neuropathy Association.
Measuring quality of health care is a central part of current concepts of health care plans and physician reimbursement. This measurement set is focused on minimum metrics for patients with a diagnosis of DSP. The AAN has developed quality measures for several other important neurologic conditions, including stroke and stroke rehabilitation,10 Parkinson disease,11 epilepsy,12 dementia,13 and amyotrophic lateral sclerosis,14 and plans to develop measurement sets for additional neurologic conditions, including headache, muscular dystrophies, and multiple sclerosis.
METHODS
The AAN DSP quality measure development process followed the AAN Quality Measurement and Reporting Subcommittee process for measure development.15 The steps in this process require submitting the topic for selection, completing an evidence-based review of existing evidence-based guidelines and a supplementary literature search, constructing draft measures and technical specifications, convening a multidisciplinary expert work group to review draft measures, soliciting public comments during a 30-day period, refining the final measures and corresponding technical specifications, and obtaining approvals from the AAN DSP quality measure expert work group, AAN committees, and the AAN Board of Directors. In addition, the measurement set was reviewed by the American Medical Association's Performance Measurement Advisory Group for overall quality of content and to assign Current Procedural terminology (CPT)–II codes. The full methodology including topic selection, literature search, and work group formation may be found online in appendix e-1 on the Neurology® Web site at Neurology.org.
RESULTS
The literature search identified 128 relevant recommendations from 23 clinical practice guidelines. The review of the evidence by the work group leadership resulted in 15 recommendations that were rated highest on importance, validity, strength of evidence, and gaps in care to serve as the evidence base for 9 draft measures. At a face-to-face meeting on May 14, 2011, the work group revised the draft measures and eliminated 3 of the measures due to feasibility issues. The remaining 6 measures were posted for a 30-day public comment. A total of 78 comments were received from physicians, patients, insurers, and other interested individuals. These comments were used to refine the draft measures. The 6 final measures were approved by the American Medical Association Performance Measurement Advisory Group for CPT II codes effective January 1, 2013. The final set of measures was approved by the expert work group, appropriate AAN committees, and the AAN Board of Directors. This set of measures will be revised periodically with an extensive review every 3 years.
Brief measure titles and measure statements for each of the 6 DSP Performance Measures are listed in the table. For the complete measure specifications, including exclusions, see appendix e-2.
Table.
DISCUSSION
DSP is one of the most common neurologic disorders encountered by neurologists in practice and is a major source of referral to practitioners. In 2005, the results of a collaboration among the AAN, AANEM, and AAPM&R were published as a research case definition of DSP intended to improve consistency and specificity of diagnostic criteria across population-based and clinical trial studies.16 The research case definition has been cited in nearly 175 peer-reviewed studies on Web of Science in the past 7 years. To bridge the gap between the research enterprise and clinical practice, the Quality Measurement and Reporting Subcommittee of the AAN produced these 6 minimum quality measures reflective of the best available evidence and best practice.
Measures 1 and 2 are specifically derived from the 2005 published case definition.16 Implementation of these minimum measures will ensure more consistent application of the case definition in clinical practice and more consistent use of electrodiagnostic studies to confirm the diagnosis of DSP. These measures are paired measures to reflect the evidence-based diagnostic criteria for DSP.16 The measures should be performed together in order to appropriately diagnose the patient with DSP.
Measures 3 and 4 are intended to ensure that screening for common causes of DSP (diabetes, alcoholism) are routinely captured at initial diagnosis. These measures will ensure that both practices and health systems/communities attend to potential preventive interventions for these disorders. In population-based studies, the prevalence of DSP among patients with confirmed diabetes approaches 25% and is approximately 12% in those with impaired glucose tolerance.6 Among patients with chronic alcoholism, 12% to 66% have peripheral neuropathy, and the neuropathy may improve with abstinence.17,18 Hence, routine attention to these conditions will help identify comorbidities that may have substantial potential for prevention.
Measure 5 recommends the use of a brief, publicly available, validated instrument to track pain and function routinely at each visit (e.g., Graded Chronic Pain Scale, Brief Pain Inventory).19,20 This type of measure is almost never implemented now in clinical practice; therefore, inclusion of such measures will assist in tracking patients over time with regard to both responses to therapy and the progression of DSP. In addition, similar measures may be used to determine clinically meaningful improvement in pain and function.19
Measure 6, querying about falls, is another measure that may contribute to preventive efforts in communities. Since this measure is conducted at least annually, patients who screen positive would prompt more intense monitoring, family counseling, and implementation of rehabilitation interventions that may reduce the risk of falls. Such further inquiry based on the screening measure could lead to institution in the future of more performance-based tests for balance (e.g., Timed Get Up and Go Test).21
These minimum measures are intended to be implemented across the wide spectrum of neurologic practice and are not intended for exclusive use by subspecialists. These measures are crafted such that use by any health care provider would accomplish the primary goal of improving quality of care for persons with DSP. Depending on specific clinical situations, availability of diagnostic resources, and availability of subspecialty expertise, more detailed evaluation of individuals with DSP beyond these minimum measures is warranted.
DSP represents a significant health problem because it is a chronic high-cost disease that leads to significant morbidity, increased mortality, and impaired quality of life. The AAN DSP quality measurement set defines basic yet critical DSP quality measures in an effort to improve health outcomes for patients with DSP. The benefits resulting from successful implementation of the AAN DSP quality measurement set include the following: (1) timely DSP diagnosis, including the appropriate use of electrodiagnostic testing to more accurately classify potentially treatable DSP conditions; (2) screening for the most important underlying causes of DSP in efforts at secondary prevention of worsening of the condition; (3) use of brief instruments to track pain and function to determine whether meaningful improvement occurs in response to treatment interventions; and (4) promotion of patient safety through reduction of falls due to DSP. These measures are intended to be implemented across the spectrum of neurologic practice and are intended for use by all health care practitioners, not just neurologists. In addition, the measures are crafted such that use by non-neurologic clinicians in more rural practices or in areas of shortages of neurologic practitioners would accomplish the primary goal of improving quality of care for persons with DSP.
Supplementary Material
ACKNOWLEDGMENT
The authors thank the AAN DSP Measure Development Work Group members for their contribution and work that supported the development of this manuscript: John D. England, MD (co-chair, neurologist); Gary M. Franklin, MD, MPH (co-chair, neurologist); Richard M. Dubinsky (AAN facilitator, neurologist); Gil Wolfe, MD (neurologist); William David, MD (neurologist); Jeffrey Cohen, MD (neurologist); Jonathan Goldstein, MD (neurologist); Victoria Lawson, MD (neurologist); Amanda Peltier, MD (neurologist); Benn Smith, MD (neurologist); Mazen Dimachkie, MD (neurologist); Susan Kirman, MD (American Diabetes Association); Thomas Brannagan, MD (The Neuropathy Association); Natacha T. Pires, MBBA (The Neuropathy Association); Stephen Kishner, MD (American Academy of Physical Medicine and Rehabilitation); Pushpa Narayanswami, MD, MBBS (American Association of Neuromuscular & Electrodiagnostic Medicine); Catherine French, MAPL (American Association of Neuromuscular & Electrodiagnostic Medicine); Charles Stemple, DO (Humana); Edwin Dasso, MD (UnitedHealth Care); Gina Gjorvad (AAN Staff); Rebecca J. Swain-Eng, MS (AAN Staff); Sarah T. Tonn, MPH (past AAN Staff member); and Rebecca Kresowik (methodologist).
GLOSSARY
- AAN
American Academy of Neurology
- AANEM
American Association of Neuromuscular & Electrodiagnostic Medicine
- AAPM&R
American Academy of Physical Medicine and Rehabilitation
- CPT
Current Procedural Terminology
- DSP
distal symmetric polyneuropathy
Footnotes
Supplemental data at Neurology.org
AUTHOR CONTRIBUTIONS
Dr. England assisted with study concept and design, critical revision of the manuscript for important intellectual content, and analysis and interpretation. Dr. Franklin assisted with study concept and design, critical revision of the manuscript for important intellectual content, and analysis and interpretation. G. Gjorvad assisted with study concept and design, analysis and interpretation, and study supervision. R. Swain-Eng assisted with study concept and design, analysis and interpretation, critical revision of the manuscript for important intellectual content, and study supervision. Dr. David assisted with analysis and interpretation. Dr. Dubinsky assisted with analysis and interpretation. Dr. Smith assisted with analysis and interpretation.
STUDY FUNDING
No targeted funding reported.
DISCLOSURE
J. England reports disclosures for NIH–National Institute of Neurological Disorders and Stroke grant (5 RO1 NS048952), Gamunex-C Advisory Board, and Editor-in-Chief for the Journal of Neurological Sciences. G. Franklin reports no disclosures relevant to the manuscript. G. Gjorvad is a full-time employee of the American Academy of Neurology. R. Swain-Eng is a full-time employee of the American Academy of Neurology. W. David reports no disclosures relevant to the manuscript. R. Dubinsky reports disclosures for relationships with Allergan Pharmaceuticals, NIH, and AHRQ. B. Smith reports no disclosures relevant to the manuscript. Go to Neurology.org for full disclosures.
REFERENCES
- 1.Martyn CN, Hughes RA. Epidemiology of peripheral neuropathy. J Neurol Neurosurg Psychiatry 1997;62:310–318 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hughes RA. Peripheral neuropathy. BMJ 2002;324:466–469 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.England JD, Asbury AK. Peripheral neuropathy. Lancet 2004;363:2151–2161 [DOI] [PubMed] [Google Scholar]
- 4.Franklin GM. Peripheral neuropathy. In: Nelson LM, Tanner CM, Van Den Eden SK, McGuire VM, eds. Neuroepidemiology: From Principles to Practice. Oxford University Press; 2004:279–302 [Google Scholar]
- 5.O'Connor AB. Neuropathic pain: quality-of-life impact, costs and cost effectiveness of therapy. Pharmacoeconomics 2009;27:95–112 [DOI] [PubMed] [Google Scholar]
- 6.Franklin GM, Kahn L, Baxter J, et al. Sensory neuropathy in non-insulin dependent diabetes mellitus: The San Luis Valley Diabetes Study. Am J Epidemiol 1990;131:633–643 [DOI] [PubMed] [Google Scholar]
- 7.Shojania KG, Ranji SR, Shaw LK, et al. Closing the quality gap: a critical analysis of quality improvement Strategies (vol 2) of diabetes care. Agency for Healthcare Research and Quality. 2004. Available at: www.ahrq.gov/downloads/pub/evidence/pdf/qualgap2/qualgap2.pdf. Accessed July 2, 2013 [PubMed]
- 8.Galer BS, Gianas A, Jensen MP. Painful diabetic neuropathy: epidemiology, pain description, and quality of life. Diabetes Res Clin Pract 2000;27:123–128 [DOI] [PubMed] [Google Scholar]
- 9.Callaghan B, McCammon R, Kerber K, et al. Tests and expenditures in the initial evaluation of peripheral neuropathy. Arch Intern Med 2012;172:127–132 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.American Academy of Neurology, American College of Radiology, National Committee for Quality Assurance, American Medical Association–convened Physician Consortium for Performance Improvement. Stroke and Stroke Rehabilitation Performance Measurement Set. 2012. Available at: www.ama-assn.org/ama1/pub/upload/mm/pcpi/stroke-worksheets.pdf. Accessed July 2, 2013
- 11.Cheng EM, Tonn S, Swain-Eng R, et al. ; for the American Academy of Neurology Parkinson's Disease Measure Development Panel. Quality improvement in neurology: AAN Parkinson's disease quality measures. Neurology 2010;75:2021–2027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fountain NB, Van Ness PC, Swain-Eng RJ, et al. Quality improvement in neurology: AAN Epilepsy quality measures: report of the Quality Measurement and Reporting Subcommittee of the American Academy of Neurology. Neurology 2011;76:94–99 [DOI] [PubMed] [Google Scholar]
- 13.Odenheimer G, Borson S, Sanders AE, et al. Quality improvement in neurology: dementia management quality measures. Neurology 2013;81:1545–1549 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Miller RG, Brooks BR, Swain-Eng RJ, et al. Quality improvement in neurology: amyotrophic lateral sclerosis quality measures. Neurology 2013;81:2136–2140 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bever CT, Dubinsky R, Tonn S, Swain-Eng R; for the Quality Measures and Reporting Subcommittee. Quality Measure Development Process Manual, 2010 ed. Minneapolis: American Academy of Neurology; 2010 [Google Scholar]
- 16.England JD, Gronseth GS, Franklin GM, et al. Distal symmetric polyneuropathy: a definition for clinical research: report of the American Academy of Neurology, the American Academy of Neuromuscular and Electrodiagnostic Medicine, and the American Academy of Physical Medicine and Rehabilitation. Neurology 2005;64:199–207 [DOI] [PubMed] [Google Scholar]
- 17.Vittadini G, Buonocore M, Colli G, et al. Alcoholic polyneuropathy: a clinical and epidemiological study. Alcohol Alcohol 2001;36:393–400 [DOI] [PubMed] [Google Scholar]
- 18.Chopra K, Tiwari V. Alcoholic neuropathy: possible mechanisms and future treatment possibilities. Br J Clin Pharmacol 2012;73:348–362 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Dworkin RH, Turk DC, Wyrwich KW, et al. Interpreting the importance of treatment outcomes in chronic pain clinical trials: the IMMPACT recommendations. J Pain 2008;9:105–121 [DOI] [PubMed] [Google Scholar]
- 20.Tan G, Jensen MP, Thornby JI, Shanti BF. Validation of the Brief Pain Inventory for chronic nonmalignant pain. J Pain 2004;5:133–137 [DOI] [PubMed] [Google Scholar]
- 21.Beauchet O, Fantino B, Allali G, et al. Timed Up and Go test and risk of falls in older adults: a systematic review. J Nutr Health Aging 2011;15:933–938 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.